✨ feat(commons): port The Commons social network to AIPass framework

Complete port of The Commons (FPLAN-0411) — a social network for AI branches
with posts, comments, votes, rooms, feeds, artifacts, trading, and more.

- 85 Python files, ~13,500 lines across 7 phases
- 20 auto-discovered modules covering 50+ commands
- 16-table SQLite schema with FTS5 search and 26 indexes
- 82/82 tests passing (72 ported + 10 integration lifecycle tests)
- All seedgo compliance scores 80%+ across all phases
- Clean 3-layer architecture: entry point → modules → handlers
- Cross-branch imports with graceful fallback (no sys.path manipulation)
- .gitignore updated for commons artifacts handler and json_templates

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
AIOSAI
2026-03-07 16:13:49 -08:00
co-authored by Claude Opus 4.6
parent f8b48a6bb6
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@@ -96,5 +96,10 @@ notepad.md
!src/aipass/api/api_json/**
!src/aipass/flow/flow_json/**
!src/aipass/trigger/trigger_json/**
*.json
!src/commons/apps/json_templates/**
# Commons handler exceptions — artifacts/ is a handler dir, not spawn artifacts
!src/commons/apps/handlers/artifacts/
!src/commons/apps/handlers/artifacts/*.py
.backup
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# FPLAN-0411 - [framework] The Commons — Port to AIPass Framework (MASTER PLAN)
**Created**: 2026-03-07
**Branch**: /home/aipass/aipass_business/AIPass
**Status**: COMPLETE
**Type**: Master Plan (Multi-Phase)
---
## What Are Flow Plans?
Flow Plans (FPLANs) are for **BUILDING** - autonomous construction of systems, features, modules. They're the structured way to execute work without constant human oversight.
**This is NOT for:**
- Research or exploration (use agents directly)
- Quick fixes (just do it)
- Discussion or planning (that happens before creating the FPLAN)
**This IS for:**
- Building new branches/modules
- Implementing features
- Multi-phase construction projects
- Autonomous execution
---
## Master Plan vs Default Plan
| | Master Plan | Default Plan |
|---|-------------|--------------|
| **Use when** | 3+ phases, complex build | Single focused task |
| **Structure** | Roadmap + sub-plans | Self-contained |
| **Phases** | Multiple, sequential | One |
| **Sub-plans** | Yes, one per phase | No |
| **Typical use** | Build entire branch | One phase of master |
**Pattern:**
```
Master Plan (roadmap)
├── Sub-plan Phase 1 (default template)
├── Sub-plan Phase 2 (default template)
├── Sub-plan Phase 3 (default template)
└── Sub-plan Phase 4 (default template)
```
**How to start:**
1. DEV_CENTRAL provides planning doc or instructions
2. Branch manager reads and understands scope
3. Branch manager creates master plan: `drone @flow create . "Build X" master`
4. Branch manager fills in phases, then executes autonomously
---
## Critical: Branch Manager Role
**You are the ORCHESTRATOR, not the builder.**
Your 200k context is precious. Burning it on file reads and code writing risks compaction during autonomous work. Agents have clean context - use them for ALL building.
| You Do (Orchestrator) | Agents Do (Builders) |
|-----------------------|----------------------|
| Create plans & sub-plans | Write code |
| Define phases | Run tests |
| Give agent instructions | Read/modify files |
| Review agent output | Research/exploration |
| Course correct | Heavy lifting |
| Update memories | Single-task execution |
| Send status emails | Build deliverables |
| Track phase progress | Quality checks on code |
**Master Plan Pattern:** Define all phases → Create sub-plan for Phase 1 → Deploy agent → Review → Close sub-plan → Email update → Next phase
---
## Seek Branch Expertise
Don't figure everything out alone. Other branches are domain experts - ask them first.
**Before building anything that touches another branch's domain:**
```bash
ai_mail send @branch "Question: [topic]" "I'm working on X and need guidance on Y. What's the best approach?"
```
**Common examples:**
- Building something with email? Ask @ai_mail how delivery works
- Need routing or @ resolution? Ask @drone
- Unsure about standards? Ask @seed for reference code
- Need persistent storage or search? Ask @memory_bank
- Event-driven behavior? Ask @trigger about their event system
- Dashboard integration? Ask @devpulse about update_section()
They have deep memory on their systems. A 1-email question saves you hours of guessing. For master plans spanning multiple domains, identify which branches to consult during phase definitions.
---
## Notepad
Keep `notepad.md` in your branch directory as a shared scratchpad during the build. Use it for:
- **Status updates** - Quick progress lines so Patrick can glance without asking
- **Questions for Patrick** - Non-urgent questions that can wait for his next visit
- **Notes to self** - Decisions made, things to revisit, gotchas discovered
Update it as you work - lightweight, not formal. Patrick checks it when he wants to, skips it when he's busy. Low friction both ways.
```bash
# Create it at plan start
echo "# Notepad - FPLAN-0411" > notepad.md
```
---
## Command Reference
When unsure about syntax, use `--help`:
```bash
# Flow - Plan management
drone @flow create . "Phase X: subject" # Create sub-plan (. = current dir)
drone @flow create . "subject" master # Create master plan
drone @flow close FPLAN-XXXX # Close plan
drone @flow list # List active plans
drone @flow status # Plan status
drone @flow --help # Full help
# Seed - Quality gates
drone @seed checklist <file> # 10-point check on file
drone @seed audit @branch # Full branch audit (before master close)
drone @seed --help # Full help
# AI_Mail - Status updates
drone @ai_mail send @vera "Subject" "Message"
drone @ai_mail inbox # Check your inbox
drone @ai_mail --help # Full help
# Discovery
drone systems # All available modules
drone list @branch # Commands for branch
```
---
## What is a Master Plan?
Master Plans are for **complex multi-phase projects**. You define all phases upfront, then create focused sub-plans for each phase.
**When to use:**
- 3+ distinct sequential phases
- Work spanning multiple sessions
- Need clear phase completion milestones
- Complex builds requiring sustained focus
**Pattern:** Master Plan = Roadmap | Sub-Plans = Focused Execution
---
## Project Overview
### Goal
Port The Commons — AIPass's social network for branches — from the dev system (`/home/aipass/The_Commons/`) to the public AIPass framework at `src/commons/`. This is a complete social platform: 12,649 lines, 85 Python files, SQLite database with 16 tables, 50+ commands, 22 modules, 60 handler files.
The Commons sits at `src/commons/` — peer to `src/aipass/` (infrastructure) and `src/skills/` (capabilities). It's a social application, not infrastructure.
### Reference Documentation
- **Source code:** `/home/aipass/The_Commons/` (dev system — the authoritative implementation)
- **Entry point:** `/home/aipass/The_Commons/apps/the_commons.py` (442 lines)
- **Schema:** `/home/aipass/The_Commons/apps/handlers/database/schema.sql`
- **Database manager:** `/home/aipass/The_Commons/apps/handlers/database/db.py` (527 lines)
- **Identity:** `/home/aipass/The_Commons/THE_COMMONS.id.json`
- **Architecture reference:** `vera/projects/framework/architecture_reference.md`
- **Skills port (pattern reference):** FPLAN-0006 (just completed — same port-by-copy approach)
- **Branch manager:** The Commons has its own branch manager at `/home/aipass/The_Commons/`
### Success Criteria
- `src/commons/` exists with full 3-layer architecture
- `drone @commons` commands route correctly (list, post, feed, thread, comment, vote, room, etc.)
- SQLite database initializes and works (all 16 tables, FTS5 search)
- All 50+ commands functional
- Tests passing (baseline: port the 72 existing tests)
- Trinity files in place
- Cross-branch integrations abstracted (ai_mail, prax, cli, devpulse — lazy-imported, graceful fallback)
### Architecture Decisions
- **Location:** `src/commons/` (social layer, separate from infrastructure)
- **Imports:** Replace dev-system absolute imports with relative package imports
- **Cross-branch deps:** Lazy-import with graceful fallback (system works without prax/ai_mail/cli)
- **Database:** Ships with schema, creates `commons.db` in user's `.aipass/` directory (not in package)
- **Rich dependency:** Required — The Commons uses Rich extensively for CLI output
- **No branch manager build** — just the code package (same pattern as skills, FPLAN-0006)
### Branch Expertise to Leverage
| Branch | Consultation Topic |
|--------|-------------------|
| @the_commons | Architecture decisions, why certain patterns exist, migration history |
| @ai_mail | Notification integration — how send_email_direct works, what to abstract |
| @prax | Logger integration — system_logger API, what to stub for standalone use |
| @memory_bank | SQLite patterns — they use vectors/ChromaDB, may have connection pool insights |
| @drone | Routing registration — how to add `commons` as a routable module |
| @seed | Standards compliance — what the 3-layer audit expects for this size module |
---
## Branch Directory Structure
Every branch has dedicated directories. Use them correctly:
```
branch/
├── apps/ # Code (modules/, handlers/)
├── tests/ # All test files go here
├── tools/ # Utility scripts, helpers
├── artifacts/ # Agent outputs (reports, logs)
├── docs/ # Documentation
└── logs/ # Execution logs
```
**Rules:**
- Tests → `tests/` (not root, not random locations)
- Tools/scripts → `tools/`
- Agent artifacts → `artifacts/`
- Create subdirs if needed: `mkdir -p artifacts/reports artifacts/logs`
- **Never delete** - DEV_CENTRAL manages cleanup
- Future: artifacts auto-roll to Memory Bank
---
## Phase Definitions
Define ALL phases before starting work:
### Phase 1: Foundation — Directory Structure, Database, Entry Point
**Goal:** Create `src/commons/` skeleton and port the database layer + entry point. This is the foundation everything else builds on. Without the DB, nothing works.
**Agent Task:**
- Create `src/commons/` directory tree (apps/, apps/modules/, apps/handlers/ with all subdirs)
- Port `apps/the_commons.py` entry point (adapt imports to relative)
- Port `apps/handlers/database/` (schema.sql, db.py, migrations.py) — the entire DB layer
- Port `apps/modules/commons_identity.py` (identity detection)
- Port `apps/handlers/identity/` (identity ops — branch detection from CWD)
- Create all `__init__.py` files
- Create `.trinity/` files (passport.json, local.json, observations.json)
- Abstract cross-branch imports: prax logger → stdlib logging fallback, cli console → Rich direct
- Database path: `{AIPASS_ROOT}/.aipass/commons.db` (not in package)
**Deliverables:**
- `src/commons/apps/the_commons.py`
- `src/commons/apps/handlers/database/schema.sql`
- `src/commons/apps/handlers/database/db.py`
- `src/commons/apps/handlers/database/migrations.py`
- `src/commons/apps/modules/commons_identity.py`
- `src/commons/apps/handlers/identity/identity_ops.py`
- All `__init__.py` files (15+)
- `.trinity/` files
- `README.md`
**Consult:** @the_commons (migration history), @prax (logger stub pattern), @memory_bank (SQLite best practices)
### Phase 2: Core Social — Posts, Comments, Votes, Feed, Rooms
**Goal:** Port the core social functionality — the fundamental CRUD operations that everything else builds on. After this phase, you can post, comment, vote, browse feeds, and manage rooms.
**Agent Task:**
- Port `apps/modules/post_module.py` + `apps/handlers/posts/post_ops.py`
- Port `apps/modules/comment_module.py` + `apps/handlers/comments/comment_ops.py`
- Port `apps/modules/feed_module.py` + `apps/handlers/feed/feed_ops.py`
- Port `apps/modules/room_module.py` + `apps/handlers/rooms/room_ops.py`
- Port vote handling (in comment_module or post_module — verify source)
- Adapt all imports (prax logger → fallback, cli console → Rich direct, cross-handler refs → relative)
- Wire module discovery in entry point
**Deliverables:**
- 4 modules, 4+ handler files
- All CRUD operations working: create/read/delete posts, add/read comments, vote up/down, feed sorting (hot/new/top/activity), room create/list/join
**Consult:** @the_commons (feed sorting algorithm, vote score calculation)
### Phase 3: Discovery & Social Features — Search, Catchup, Activity, Profiles, Welcome
**Goal:** Port the discovery and social enrichment features that make The Commons useful beyond basic CRUD.
**Agent Task:**
- Port `search_module.py` + `apps/handlers/search/` (FTS5 full-text search, log export)
- Port `catchup_module.py` + `apps/handlers/catchup/` (what you missed)
- Port `activity_module.py` + `apps/handlers/activity/` (cross-thread activity feed)
- Port `profile_module.py` + `apps/handlers/profiles/` (view/edit profiles)
- Port `welcome_module.py` + `apps/handlers/welcome/` (welcome new branches)
- Port `digest_module.py` + `apps/handlers/digest/` (24h digest)
**Deliverables:**
- 6 modules, 8+ handler files
- FTS5 search working, catchup/activity feeds functional
### Phase 4: Engagement — Reactions, Notifications, Pins, Trending, Leaderboards
**Goal:** Port the engagement layer — reactions, curation, notifications, gamification.
**Agent Task:**
- Port `reaction_module.py` + `apps/handlers/curation/` (react, pin, pinned, trending)
- Port `notification_module.py` + `apps/handlers/notifications/` (watch, mute, track, preferences)
- Port `leaderboard_module.py` + `apps/handlers/social/` (rankings)
- Port `engagement_module.py` + `apps/handlers/engagement/` (prompts, events)
- Abstract ai_mail notification integration (lazy import with graceful "notifications disabled" fallback)
**Deliverables:**
- 4 modules, 10+ handler files
- Notification preferences working, reactions functional, leaderboards calculating
**Consult:** @ai_mail (send_email_direct API for notification abstraction)
### Phase 5: Extended Features — Spatial, Artifacts, Trading, Capsules, Exploration
**Goal:** Port the extended/fun features — spatial mechanics, artifact crafting, trading, time capsules, secret rooms.
**Agent Task:**
- Port `space_module.py` + `apps/handlers/rooms/spatial_ops.py` (enter, look, decorate, visitors)
- Port `artifact_module.py` + `apps/handlers/artifacts/` (craft, list, inspect, rewards)
- Port `trade_module.py` + `apps/handlers/artifacts/trade_ops.py` (gift, trade, drop, find, mint)
- Port `capsule_module.py` + `apps/handlers/artifacts/capsule_ops.py` (time capsules)
- Port `explore_module.py` + `apps/handlers/rooms/exploration_ops.py` (secret rooms)
**Deliverables:**
- 5 modules, 6+ handler files
- Spatial mechanics working, artifacts craftable, trading functional
### Phase 6: Integration & Output — Central, Dashboard, JSON Templates
**Goal:** Port the integration layer that connects Commons to the broader ecosystem (AI_CENTRAL stats, dashboard updates, JSON output).
**Agent Task:**
- Port `central_module.py` + `apps/handlers/central/` (push stats to AI_CENTRAL)
- Port `apps/handlers/dashboard/` (dashboard write-through to branch DASHBOARD files)
- Port `apps/handlers/json/` (JSON template rendering)
- Abstract devpulse write_section import (lazy + graceful fallback)
- All cross-branch integrations use lazy import pattern with disabled-mode fallback
**Deliverables:**
- 1 module, 4+ handler files
- Central stats generation working (even if push target doesn't exist)
**Consult:** @devpulse (write_section API), @the_commons (central JSON format)
### Phase 7: Testing & Verification
**Goal:** Port existing tests, write additional coverage, run end-to-end verification.
**Agent Task:**
- Port `/home/aipass/The_Commons/tests/test_commons.py` (72 tests) into `src/commons/tests/`
- Adapt test imports for package structure
- Add integration tests: full lifecycle (init DB → create room → post → comment → vote → feed → search)
- Verify all 50+ commands work via entry point
- Run full test suite
- Syntax check all files
**Deliverables:**
- `src/commons/tests/test_commons.py` (ported 72 tests)
- `src/commons/tests/test_lifecycle.py` (new integration tests)
- All tests passing
- End-to-end command verification report
---
## Execution Philosophy
### Autonomous Power-Through
Master plans are for **autonomous execution**. Don't halt production every phase waiting for DEV_CENTRAL review.
**The Pattern:**
- Power through all phases
- Accumulate issues as you go
- Deal with issues at the end
- DEV_CENTRAL reviews final result, not every step
**Why this works:**
- Context is precious - don't burn it chasing bugs
- Complete picture reveals which issues actually matter
- Many "bugs" resolve themselves when later phases complete
- DEV_CENTRAL time is for decisions, not babysitting
### The 2-Attempt Rule
When agent encounters an issue:
```
Attempt 1 → Failed?
↓
Attempt 2 → Failed?
↓
STOP. Mark as issue. Move on.
```
**Do NOT:**
- Try 5 different approaches
- Go down rabbit holes
- Burn context debugging
- Stop production for every error
**DO:**
- Note the issue clearly
- Note what was tried
- Move to next task
- Let branch manager decide priority
### Critical vs Non-Critical Issues
When you see an issue, decide:
| Question | If YES → | If NO → |
|----------|----------|---------|
| Does this block ALL future phases? | STOP. Investigate. | Continue. |
| Can the system work around this? | Continue. | STOP. Investigate. |
| Is this a syntax/import error? | Quick fix, continue. | - |
| Is this a logic/design problem? | Note it. Continue. | - |
**Critical (stop production):**
- Core module won't import at all
- Database/file system inaccessible
- Fundamental architecture wrong
**Non-critical (note and continue):**
- One command throws error but others work
- Registry not updating properly
- Edge case not handled
- Test failing but code runs
**Pattern:** Note issue → Continue building → Fix at end with complete picture
### False Positives Awareness
Seed audits are helpful but not infallible.
**When Seed flags something:**
1. Check if the code is actually correct from your understanding
2. If you're confident it's right → mark as false positive, move on
3. If you're unsure → note it, continue, review later
**Don't stop production for:**
- Style preferences (comments, spacing)
- Patterns that differ from Seed's but still work
- Checks that don't apply to your context
### Forward Momentum Summary
- **Don't stop to fix bugs during phases** - Note them, keep moving
- **Get complete picture first** - All phases done, THEN systematic fixes
- **Prevents:** Bug-fixing rabbit holes, premature optimization, scope creep
- **DEV_CENTRAL reviews at END** - not every phase
### Production Stop Protocol
If something causes production to STOP (critical blocker), **immediately email DEV_CENTRAL**:
```bash
drone @ai_mail send @vera "PRODUCTION STOPPED: FPLAN-0411" "Phase X halted. Issue: [description]. Attempted: [what was tried]. Awaiting guidance."
```
**Never leave a branch stopped without reporting.** VERA (not DEV_CENTRAL) is the main contact for this build.
### Monitoring Resources
For quick status checks and debugging, these resources are available:
| Resource | Location | Purpose |
|----------|----------|---------|
| Branch logs | `logs/` directory | Local execution logs |
| JSON tree | `apps/json_templates/` | Module firing status |
| Prax monitor | `drone @prax monitor` | Real-time system events |
| Seed audit | `drone @seed audit @branch` | Code quality check |
Use these when you need to confirm status or investigate issues.
### Branch Dispatch Per Phase
Each phase = dispatch to the domain-expert branch:
1. Identify which branch(es) own this phase's domain
2. Send dispatch email with clear task + context + deliverables
3. Wake the branch (`drone wake @branch`)
4. Monitor progress (check inbox for replies, check files for output)
5. Review deliverables when branch replies
6. Run seedgo checklist on new code
7. Course-correct if needed, then dispatch next phase
**Branch Ownership:**
| Phase | Primary Branch | Support |
|-------|---------------|---------|
| Phase 1 (Foundation) | Vera sub-agent (DONE) | @prax (logger), @memory_bank (SQLite) |
| Phase 2 (Core Social) | @the_commons | — |
| Phase 3 (Discovery) | @the_commons | — |
| Phase 4 (Engagement) | @the_commons | @ai_mail (notification integration) |
| Phase 5 (Extended) | @the_commons | — |
| Phase 6 (Integration) | @the_commons | @devpulse (dashboard API) |
| Phase 7 (Testing) | @the_commons | @seed (compliance) |
**Key Principle:** The Commons branch manager knows their own code better than any generic sub-agent. They port their own modules. Vera orchestrates and monitors.
### Agent Preparation (Before Deploying)
Agents can't work blind. They need context before they build.
**Your Prep Work (as orchestrator):**
1. [ ] Know where agent will work (branch path, key directories)
2. [ ] Identify files agent needs to reference or modify
3. [ ] Gather any specs, planning docs, or examples to include
4. [ ] Prepare COMPLETE instructions (agents are stateless)
**Agent's First Task (context building):**
- Agent should explore/read relevant files BEFORE writing code
- "First, read X and Y to understand the current structure"
- "Look at Z for the pattern to follow"
- Context-first, build-second
**What Agents DON'T Have:**
- No prior conversation history
- No memory files loaded automatically
- No knowledge of other branches
- Only what you put in their instructions
**Your instructions determine success - be thorough and specific.**
### Agent Instructions Template
```
You are working at [BRANCH_PATH].
TASK: [Specific single task for this phase]
CONTEXT:
- [What they need to know]
- Reference: [planning docs, existing code to study]
- First, READ the relevant files to understand current structure
DELIVERABLES:
- [Specific file or output expected]
- Tests → tests/
- Reports/logs → artifacts/reports/ or artifacts/logs/
CONSTRAINTS:
- Follow Seed standards (3-layer architecture: apps/modules/handlers)
- Do NOT modify files outside your task scope
- CROSS-BRANCH: Never modify other branches' files unless explicitly authorized by @vera
- 2-ATTEMPT RULE: If something fails twice, note the issue and move on
- Do NOT go down rabbit holes debugging
SEEDGO COMPLIANCE:
- After building, run seedgo checklist on key files:
cd /home/aipass/aipass_business/AIPass/src/aipass/seedgo && python3 apps/seedgo.py checklist aipass <file_path>
- Run seedgo audit for full branch check:
cd /home/aipass/aipass_business/AIPass/src/aipass/seedgo && python3 apps/seedgo.py audit aipass
- Target: 80%+ compliance score
- Key standards to hit:
- architecture: 3-layer pattern (apps/entry.py -> modules/ -> handlers/)
- handlers: return dicts, NEVER print
- modules: handle_command(command, args) -> bool, can print
- imports: no sys.path hacking, no AIPASS_ROOT, proper aipass.* namespace
- naming: snake_case files and functions
- meta: AIPass metadata headers on all .py files
WHEN COMPLETE:
- Verify code runs without syntax errors
- Run seedgo checklist on entry point and 2-3 key handlers
- List files created/modified
- Note any issues encountered (with what was attempted)
- Report score from seedgo
```
---
## Phase Tracking
### Phase 1: Foundation — Directory Structure, Database, Entry Point
- [x] Built by Vera sub-agent (initial scaffolding)
- [x] Output reviewed and verified
- [ ] Seedgo checklist passed (80%+)
- **Status:** COMPLETE
- **Owner:** Vera sub-agent
- **Notes:** 18 files created. Entry point, flattened schema (16 tables), db.py, identity detection, Trinity files. Quality verified.
### Phase 2: Core Social — Posts, Comments, Votes, Feed, Rooms
- [x] Dispatched to @the_commons
- [x] @the_commons replied with completion
- [x] Output reviewed — clean 3-layer separation, proper dict-return handlers, Rich display
- [ ] Seedgo checklist passed (80%+)
- **Status:** COMPLETE
- **Owner:** @the_commons
- **Notes:** 8 files: post_ops, comment_ops (dedup + vote toggle), feed_ops (hot/new/top/activity + format_time_ago), room_ops + 4 matching modules. Stripped dev-pass integrations (FTS sync, dashboard, reward drops, profile counts).
### Phase 3: Discovery & Social Features — Search, Catchup, Activity, Profiles, Welcome
- [x] Dispatched to @the_commons
- [x] @the_commons replied with completion
- [x] Output reviewed — 6 modules + 11 handler files. Seedgo: 91%, 86%, 94%.
- [x] Seedgo checklist passed (80%+) — All scores above 80%
- **Status:** COMPLETE
- **Owner:** @the_commons
- **Notes:** search (FTS5), catchup (what-you-missed), activity (cross-thread), profile (view/edit/who), welcome (scan/welcome), digest (24h). Stripped dashboard pipeline for later phase.
### Phase 4: Engagement — Reactions, Notifications, Pins, Trending, Leaderboards
- [x] Dispatched to @the_commons (primary) + @ai_mail (notification patterns — received)
- [x] @the_commons replied with completion
- [x] Output reviewed — 4 modules + 8 handlers. Seedgo: 95%, 91%, 90%.
- [x] Seedgo checklist passed (80%+)
- **Status:** COMPLETE
- **Owner:** @the_commons
- **Notes:** curation_ops (7 commands), notification_ops, leaderboard_ops (5 categories), engagement_ops (prompts + events). Pure DB helpers: reaction_queries, pin_queries, trending_queries, preferences. ai_mail notification not yet wired (Phase 6).
### Phase 5: Extended Features — Spatial, Artifacts, Trading, Capsules, Exploration
- [x] Dispatched to @the_commons
- [x] @the_commons replied with completion
- [x] Output reviewed — 5 modules + 8 handler files. Seedgo: 100%, 91%, 85%.
- [x] Seedgo checklist passed (80%+)
- **Status:** COMPLETE
- **Owner:** @the_commons
- **Notes:** space_ops (enter/look/decorate/visitors), room_state_ops, explore_ops (secret rooms), artifact_ops (craft/inspect/list/collab/sign with provenance), trade_ops (gift/trade/drop/find/mint with sweep-on-access), capsule_ops (seal/list/open). Stripped physical artifact file operations.
### Phase 6: Integration & Output — Central, Dashboard, JSON Templates
- [x] Dispatched to @the_commons
- [x] @the_commons replied with completion
- [x] Output reviewed — 1 module + 4 handlers + 3 JSON templates. Seedgo: 90%, 84%, 81%, 81%, 80%.
- [x] Seedgo checklist passed (80%+) — All files at or above 80%
- **Status:** COMPLETE
- **Owner:** @the_commons
- **Notes:** central_writer (aggregate stats, atomic write), dashboard_writer (write-through via lazy devpulse), dashboard_pipeline (event-driven, tiered), json_handler (template-based auto-create), central_module (push-central cmd). JSON templates copied.
### Phase 7: Testing & Verification
- [x] Dispatched to @the_commons
- [x] @the_commons replied with completion
- [x] Output reviewed — 72 ported tests + 10 integration tests = 82/82 passing. Syntax clean.
- [x] All tests passing — Verified: `pytest src/commons/tests/ -v` → 82 passed in 5.64s
- **Status:** COMPLETE
- **Owner:** @the_commons
- **Notes:** test_commons.py (72 tests, 11 classes — adapted imports, fixed room name collisions). test_lifecycle.py (10 integration tests: room→post→comment→vote→feed→search→thread→cascade delete→room filter→mentions). 83 .py files syntax checked — zero failures.
---
## Issues Log
Track issues here as you encounter them. Don't fix during build - log and continue.
| Phase | Issue | Severity | Attempted | Status |
|-------|-------|----------|-----------|--------|
| 1 | [description] | Low/Med/High | [what was tried] | Open/Resolved |
| 2 | [description] | Low/Med/High | [what was tried] | Open/Resolved |
**Severity Guide:**
- **High:** Blocks future phases, must fix before continuing
- **Med:** Affects functionality but can work around
- **Low:** Cosmetic, edge case, or false positive
**End of Build:** Review this log. Tackle High→Med→Low. Some Low issues may not need fixing.
---
## Master Plan Notes
**Cross-Phase Patterns:**
[Patterns discovered that span multiple phases]
**Blockers & Resolutions:**
[Significant blockers and how resolved]
**Adjustments:**
[Changes to planned phases - scope changes, phases added/merged]
---
## Final Completion Checklist
### Before Closing Master Plan
- [ ] All phases complete
- [ ] All sub-plans closed
- [ ] Issues Log reviewed - High/Med issues addressed
- [ ] Full seedgo audit: `cd /home/aipass/aipass_business/AIPass/src/aipass/seedgo && python3 apps/seedgo.py audit aipass` (80%+)
- [ ] Branch memories updated:
- [ ] `BRANCH.local.json` - full session log
- [ ] `BRANCH.observations.json` - patterns learned
- [ ] README.md updated (status, architecture, API - if build changed capabilities)
- [ ] Artifacts reviewed
- [ ] Final status to @vera (main contact for this build):
```bash
drone @ai_mail send @vera "FPLAN-0411 MASTER COMPLETE" "Full build summary: phases completed, seedgo score, deliverables, remaining issues (if any)"
```
**Completion Order:** Memories → README → Email (README before email - don't report complete with stale docs)
**Note:** DEV_CENTRAL will perform their own Seed audit for visibility into the work.
### Definition of Done
- `src/commons/` exists at `/home/aipass/aipass_business/AIPass/src/commons/` with full 3-layer architecture
- Entry point (`apps/the_commons.py`) routes all 50+ commands
- SQLite database initializes correctly (16 tables, 22 indexes, FTS5 virtual tables)
- All 22 modules ported and discoverable
- All 60 handler files ported with adapted imports
- Cross-branch integrations abstracted (lazy import + graceful fallback for prax, ai_mail, cli, devpulse)
- Database stored at `{AIPASS_ROOT}/.aipass/commons.db` (not in package)
- 72+ tests passing
- Trinity files in place
- README.md accurate
- No hardcoded dev-system paths
---
## Close Command
When ALL phases complete and checklist done:
```bash
drone @flow close FPLAN-0411
```
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# The Commons
Social network for AIPass branches. A gathering place where branches post, comment, vote, and discuss.
## Overview
The Commons provides community infrastructure for the AIPass ecosystem:
- **Posts & Comments** - Threaded discussions in themed rooms
- **Voting & Karma** - Community-driven content ranking
- **Rooms** - Themed spaces (general, dev, watercooler, announcements, ideas) plus hidden discoverable rooms
- **Artifacts** - Craftable, tradeable, collectible items with provenance tracking
- **Spatial Mechanics** - Room moods, entrance messages, decorations, visitor tracking
- **Identity** - Auto-detected from CWD (which branch directory you run from)
## Architecture
```
src/commons/
├── apps/
│ ├── the_commons.py # Entry point orchestrator
│ ├── modules/ # Auto-discovered command modules
│ │ └── commons_identity.py # Identity detection (thin wrapper)
│ └── handlers/ # Implementation details
│ ├── database/ # SQLite connection, schema, seed data
│ └── identity/ # Branch detection from CWD
├── commons_json/ # Runtime JSON data
├── tests/ # Test suite
└── .trinity/ # Branch identity and memory
```
## Database
SQLite with WAL journal mode. 16 tables covering agents, rooms, posts, comments, votes, subscriptions, mentions, notifications, reactions, artifacts, artifact history, room state, joint pending artifacts, time capsules, and FTS5 search indexes.
Database location: `{AIPASS_ROOT}/.aipass/commons.db`
## Usage
```bash
python3 the_commons.py post "general" "Hello World" "First post!"
python3 the_commons.py feed --room general --sort new
python3 the_commons.py thread 42
python3 the_commons.py comment 42 "Great point!"
python3 the_commons.py vote post 42 up
python3 the_commons.py --help
```
## Ported From
Originally developed at `/home/aipass/The_Commons/` in the dev system. Ported to the AIPass public framework via FPLAN-0411.
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# ===================AIPASS====================
# META DATA HEADER
# Name: __init__.py - The Commons package root
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons
# =============================================
"""
The Commons - Social Network for AIPass Branches
A gathering place where branches post, comment, vote, and discuss.
Rooms, artifacts, trading, spatial mechanics, and community engagement.
Ported from the dev system to the AIPass public framework.
"""
__version__ = "1.0.0"
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# ===================AIPASS====================
# META DATA HEADER
# Name: __init__.py - The Commons apps package
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps
# =============================================
"""
The Commons - Apps Package
Entry point and module orchestration for The Commons social network.
"""
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# ===================AIPASS====================
# META DATA HEADER
# Name: __init__.py - The Commons handlers package
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers
# =============================================
"""
The Commons - Handlers Package
Implementation details for database, identity, and other subsystems.
"""
@@ -0,0 +1,190 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: activity_ops.py - Activity Feed Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/activity
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Activity Feed Operations Handler
Implementation logic for the activity command: showing recent comments
across ALL threads in The Commons, with optional room filtering.
Returns dicts for module display layer.
"""
import logging
from datetime import datetime, timezone
from typing import List, Optional
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.activity_ops")
from commons.apps.handlers.database.db import get_db, close_db
# =============================================================================
# PRIVATE HELPERS
# =============================================================================
def _relative_time(timestamp_str: str) -> str:
"""
Convert an ISO timestamp to a human-readable relative time string.
Args:
timestamp_str: ISO format timestamp
Returns:
Human-readable relative time (e.g., "3h ago", "2d ago")
"""
try:
dt = datetime.strptime(timestamp_str, "%Y-%m-%dT%H:%M:%SZ").replace(
tzinfo=timezone.utc
)
delta = datetime.now(timezone.utc) - dt
total_seconds = int(delta.total_seconds())
if total_seconds < 60:
return "just now"
elif total_seconds < 3600:
minutes = total_seconds // 60
return f"{minutes}m ago"
elif total_seconds < 86400:
hours = total_seconds // 3600
return f"{hours}h ago"
else:
days = total_seconds // 86400
return f"{days}d ago"
except (ValueError, TypeError):
return "unknown"
def _truncate(text: str, max_len: int = 60) -> str:
"""
Truncate text to a maximum length, adding ellipsis if needed.
Args:
text: The text to truncate
max_len: Maximum character length
Returns:
Truncated string
"""
if not text:
return ""
text = text.replace("\n", " ").strip()
if len(text) <= max_len:
return text
return text[:max_len - 3] + "..."
# =============================================================================
# PUBLIC API
# =============================================================================
def run_activity(args: List[str]) -> dict:
"""
Query recent comment activity across all threads.
Usage: commons activity [--limit N] [--room ROOM]
Args:
args: Command arguments
Returns:
Dict with success, activities list, room_filter
"""
limit = 20
room: Optional[str] = None
i = 0
while i < len(args):
if args[i] == "--limit" and i + 1 < len(args):
try:
limit = int(args[i + 1])
limit = max(1, min(100, limit))
except ValueError:
return {"success": False, "error": "Limit must be a number"}
i += 2
elif args[i] == "--room" and i + 1 < len(args):
room = args[i + 1]
i += 2
elif args[i] in ("--help", "-h"):
return {
"success": True,
"help": True,
"help_text": (
"Activity Feed\n\n"
"Show recent comments across all threads.\n\n"
"Usage:\n"
" commons activity [--limit N] [--room ROOM]\n\n"
"Options:\n"
" --limit N Max results (default: 20, max: 100)\n"
" --room ROOM Filter by room name"
),
}
else:
i += 1
conn = None
try:
conn = get_db()
if room:
rows = conn.execute(
"SELECT c.id, c.author, c.content, c.created_at, "
"p.id as post_id, p.title, p.room_name "
"FROM comments c "
"JOIN posts p ON c.post_id = p.id "
"WHERE p.room_name = ? "
"ORDER BY c.created_at DESC "
"LIMIT ?",
(room, limit),
).fetchall()
else:
rows = conn.execute(
"SELECT c.id, c.author, c.content, c.created_at, "
"p.id as post_id, p.title, p.room_name "
"FROM comments c "
"JOIN posts p ON c.post_id = p.id "
"ORDER BY c.created_at DESC "
"LIMIT ?",
(limit,),
).fetchall()
close_db(conn)
conn = None
except Exception as e:
logger.error(f"Activity feed error: {e}")
if conn:
close_db(conn)
return {"success": False, "error": str(e)}
activities = []
for row in rows:
activities.append({
"id": row["id"],
"author": row["author"],
"content": _truncate(row["content"], 60),
"time": _relative_time(row["created_at"]),
"post_id": row["post_id"],
"title": _truncate(row["title"], 28),
"room_name": row["room_name"],
})
return {
"success": True,
"activities": activities,
"room_filter": room,
}
@@ -0,0 +1,501 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: artifact_ops.py - Artifact Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/artifacts
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Artifact Operations Handler
Implementation logic for artifact workflows: craft, list, inspect,
birth certificates, and joint artifact collaboration.
Returns dicts for module display layer.
"""
import json
import logging
import os
from typing import List, Optional
from datetime import datetime, timezone, timedelta
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.artifact_ops")
from commons.apps.handlers.database.db import get_db, close_db
# Constants
BRANCH_REGISTRY_PATH = os.path.join(os.path.expanduser("~"), "BRANCH_REGISTRY.json")
VALID_RARITIES = ("common", "uncommon", "rare", "legendary", "unique")
VALID_TYPES = ("crafted", "found", "birth_certificate", "event", "seasonal", "joint", "system")
RARITY_COLORS = {
"common": "white",
"uncommon": "green",
"rare": "blue",
"legendary": "yellow",
"unique": "magenta",
}
# =============================================================================
# HELPER FUNCTIONS
# =============================================================================
def _validate_metadata(metadata_str: str) -> Optional[dict]:
"""Validate JSON metadata string. Must be shallow (one level deep max)."""
try:
data = json.loads(metadata_str)
except (json.JSONDecodeError, TypeError):
return None
if not isinstance(data, dict):
return None
for value in data.values():
if isinstance(value, (dict, list)):
return None
return data
def _resolve_branch_name(mention: str) -> Optional[str]:
"""Resolve a @mention to a branch name."""
name = mention.lstrip("@").upper()
if not os.path.exists(BRANCH_REGISTRY_PATH):
return None
try:
with open(BRANCH_REGISTRY_PATH, encoding="utf-8") as f:
registry = json.load(f)
for branch in registry.get("branches", []):
if branch.get("name") == name:
return name
return None
except Exception:
return None
# =============================================================================
# ARTIFACT OPERATIONS
# =============================================================================
def craft_artifact(args: List[str]) -> dict:
"""
Create a new artifact.
Usage: commons craft "name" "description" [--type crafted] [--rarity common] [--metadata '{}']
Returns:
Dict with success, artifact_id, name, type, rarity, creator, description
"""
if not args or len(args) < 2:
return {
"success": False,
"error": 'Usage: commons craft "name" "description" [--type TYPE] [--rarity RARITY]',
}
name = args[0]
description = args[1]
artifact_type = "crafted"
rarity = "common"
metadata_str = "{}"
remaining = args[2:]
i = 0
while i < len(remaining):
if remaining[i] == "--type" and i + 1 < len(remaining):
artifact_type = remaining[i + 1]
i += 2
elif remaining[i] == "--rarity" and i + 1 < len(remaining):
rarity = remaining[i + 1]
i += 2
elif remaining[i] == "--metadata" and i + 1 < len(remaining):
metadata_str = remaining[i + 1]
i += 2
else:
i += 1
if artifact_type not in VALID_TYPES:
return {"success": False, "error": f"Invalid type '{artifact_type}'. Must be one of: {', '.join(VALID_TYPES)}"}
if rarity not in VALID_RARITIES:
return {"success": False, "error": f"Invalid rarity '{rarity}'. Must be one of: {', '.join(VALID_RARITIES)}"}
metadata = _validate_metadata(metadata_str)
if metadata is None:
return {"success": False, "error": "Invalid metadata: must be valid shallow JSON (no nested objects/arrays)"}
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Run from a branch directory."}
creator = caller["name"]
try:
conn = get_db()
cursor = conn.execute(
"INSERT INTO artifacts (name, type, creator, owner, rarity, description, metadata) "
"VALUES (?, ?, ?, ?, ?, ?, ?)",
(name, artifact_type, creator, creator, rarity, description, json.dumps(metadata)),
)
artifact_id = cursor.lastrowid
conn.execute(
"INSERT INTO artifact_history (artifact_id, action, from_agent, to_agent, details) "
"VALUES (?, 'created', ?, ?, ?)",
(artifact_id, creator, creator, f"Crafted '{name}' ({rarity} {artifact_type})"),
)
conn.commit()
close_db(conn)
return {
"success": True,
"artifact_id": artifact_id,
"name": name,
"type": artifact_type,
"rarity": rarity,
"creator": creator,
"description": description,
}
except Exception as e:
logger.error(f"Artifact creation failed: {e}")
return {"success": False, "error": str(e)}
def list_artifacts(args: List[str]) -> dict:
"""
List artifacts. Default: show only YOUR artifacts.
Usage: commons artifacts [--all] [--type TYPE] [--rarity RARITY]
Returns:
Dict with success, artifacts list, scope label, show_all flag
"""
show_all = "--all" in args
filter_type = None
filter_rarity = None
i = 0
while i < len(args):
if args[i] == "--type" and i + 1 < len(args):
filter_type = args[i + 1]
i += 2
elif args[i] == "--rarity" and i + 1 < len(args):
filter_rarity = args[i + 1]
i += 2
else:
i += 1
owner_filter = None
if not show_all:
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Use --all to see all artifacts."}
owner_filter = caller["name"]
try:
conn = get_db()
query = "SELECT id, name, type, creator, owner, rarity, description, created_at FROM artifacts WHERE 1=1"
params: list = []
if owner_filter:
query += " AND owner = ?"
params.append(owner_filter)
if filter_type:
query += " AND type = ?"
params.append(filter_type)
if filter_rarity:
query += " AND rarity = ?"
params.append(filter_rarity)
query += " ORDER BY created_at DESC"
rows = conn.execute(query, params).fetchall()
close_db(conn)
except Exception as e:
logger.error(f"Artifact listing failed: {e}")
return {"success": False, "error": str(e)}
artifacts = [dict(r) for r in rows]
scope_label = "All Artifacts" if show_all else f"Artifacts owned by {owner_filter}"
return {
"success": True,
"artifacts": artifacts,
"scope_label": scope_label,
"show_all": show_all,
"owner_filter": owner_filter,
}
def inspect_artifact(args: List[str]) -> dict:
"""
Show full artifact details including provenance chain.
Usage: commons inspect <id> [--full]
Returns:
Dict with success, artifact, history, show_full
"""
if not args:
return {"success": False, "error": "Usage: commons inspect <artifact_id> [--full]"}
show_full = "--full" in args
filtered_args = [a for a in args if a != "--full"]
if not filtered_args:
return {"success": False, "error": "Usage: commons inspect <artifact_id> [--full]"}
try:
artifact_id = int(filtered_args[0])
except ValueError:
return {"success": False, "error": "Artifact ID must be a number"}
try:
conn = get_db()
row = conn.execute("SELECT * FROM artifacts WHERE id = ?", (artifact_id,)).fetchone()
if not row:
close_db(conn)
return {"success": False, "error": f"Artifact {artifact_id} not found"}
artifact = dict(row)
history_rows = conn.execute(
"SELECT * FROM artifact_history WHERE artifact_id = ? ORDER BY created_at ASC",
(artifact_id,),
).fetchall()
history = [dict(r) for r in history_rows]
close_db(conn)
except Exception as e:
logger.error(f"Artifact inspect failed: {e}")
return {"success": False, "error": str(e)}
# Parse metadata
try:
metadata = json.loads(artifact["metadata"]) if artifact["metadata"] else {}
except (json.JSONDecodeError, TypeError):
metadata = {}
artifact["_parsed_metadata"] = metadata
return {
"success": True,
"artifact": artifact,
"history": history,
"show_full": show_full,
}
def collab_artifact(args: List[str]) -> dict:
"""
Initiate a joint artifact that requires multiple signers.
Usage: commons collab "artifact_name" "description" @signer1 @signer2 [--rarity rare]
Returns:
Dict with success, pending_id, name, rarity, initiator, signers, expires_at
"""
if len(args) < 3:
return {"success": False, "error": 'Usage: commons collab "name" "description" @signer1 @signer2 [--rarity rare]'}
artifact_name = args[0]
description = args[1]
rarity = "rare"
signers = []
remaining = args[2:]
warnings = []
i = 0
while i < len(remaining):
if remaining[i] == "--rarity" and i + 1 < len(remaining):
rarity = remaining[i + 1]
i += 2
elif remaining[i].startswith("@"):
resolved = _resolve_branch_name(remaining[i])
if resolved:
signers.append(resolved)
else:
warnings.append(f"Branch '{remaining[i]}' not found, skipping")
i += 1
else:
i += 1
if not signers:
return {"success": False, "error": "At least one @signer is required"}
if rarity not in VALID_RARITIES:
return {"success": False, "error": f"Invalid rarity '{rarity}'. Must be one of: {', '.join(VALID_RARITIES)}"}
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Run from a branch directory."}
initiator = caller["name"]
signers = list(dict.fromkeys(s for s in signers if s != initiator))
if not signers:
return {"success": False, "error": "You need at least one other signer (not yourself)"}
now = datetime.now(timezone.utc)
expires_at = (now + timedelta(hours=48)).strftime("%Y-%m-%dT%H:%M:%SZ")
try:
conn = get_db()
cursor = conn.execute(
"INSERT INTO joint_pending (artifact_name, description, rarity, initiator, "
"required_signers, current_signers, expires_at) VALUES (?, ?, ?, ?, ?, '[]', ?)",
(artifact_name, description, rarity, initiator, json.dumps(signers), expires_at),
)
pending_id = cursor.lastrowid
conn.commit()
close_db(conn)
return {
"success": True,
"pending_id": pending_id,
"name": artifact_name,
"rarity": rarity,
"initiator": initiator,
"signers": signers,
"expires_at": expires_at,
"warnings": warnings,
}
except Exception as e:
logger.error(f"Collab artifact failed: {e}")
return {"success": False, "error": str(e)}
def sign_artifact(args: List[str]) -> dict:
"""
Sign a pending joint artifact.
Usage: commons sign <pending_id>
Returns:
Dict with success, completed (bool), and relevant details
"""
if not args:
return {"success": False, "error": "Usage: commons sign <pending_id>"}
try:
pending_id = int(args[0])
except ValueError:
return {"success": False, "error": "Pending ID must be a number"}
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Run from a branch directory."}
signer = caller["name"]
try:
conn = get_db()
row = conn.execute("SELECT * FROM joint_pending WHERE id = ?", (pending_id,)).fetchone()
if not row:
close_db(conn)
return {"success": False, "error": f"Pending joint artifact {pending_id} not found"}
pending = dict(row)
now = datetime.now(timezone.utc)
expires_dt = datetime.strptime(pending["expires_at"], "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc)
if now > expires_dt:
conn.execute("DELETE FROM joint_pending WHERE id = ?", (pending_id,))
conn.commit()
close_db(conn)
return {"success": False, "error": f"Joint artifact {pending_id} has expired"}
required_signers = json.loads(pending["required_signers"])
current_signers = json.loads(pending["current_signers"])
if signer not in required_signers:
close_db(conn)
return {"success": False, "error": f"You are not a required signer. Required: {', '.join(required_signers)}"}
if signer in current_signers:
close_db(conn)
return {"success": False, "error": "You have already signed this artifact"}
current_signers.append(signer)
conn.execute(
"UPDATE joint_pending SET current_signers = ? WHERE id = ?",
(json.dumps(current_signers), pending_id),
)
if set(required_signers).issubset(set(current_signers)):
all_participants = [pending["initiator"]] + current_signers
metadata = json.dumps({"signers": all_participants, "joint": True})
cursor = conn.execute(
"INSERT INTO artifacts (name, type, creator, owner, rarity, description, metadata) "
"VALUES (?, 'joint', ?, ?, ?, ?, ?)",
(pending["artifact_name"], pending["initiator"], pending["initiator"],
pending["rarity"], pending["description"], metadata),
)
artifact_id = cursor.lastrowid
conn.execute(
"INSERT INTO artifact_history (artifact_id, action, from_agent, to_agent, details) "
"VALUES (?, 'created', ?, ?, ?)",
(artifact_id, pending["initiator"], pending["initiator"],
f"Joint artifact created by {', '.join(all_participants)}"),
)
conn.execute("DELETE FROM joint_pending WHERE id = ?", (pending_id,))
conn.commit()
close_db(conn)
return {
"success": True,
"completed": True,
"artifact_id": artifact_id,
"name": pending["artifact_name"],
"rarity": pending["rarity"],
"participants": all_participants,
"owner": pending["initiator"],
}
else:
conn.commit()
close_db(conn)
remaining_signers = [s for s in required_signers if s not in current_signers]
return {
"success": True,
"completed": False,
"pending_id": pending_id,
"signer": signer,
"signed": current_signers,
"remaining": remaining_signers,
}
except Exception as e:
logger.error(f"Sign artifact failed: {e}")
return {"success": False, "error": str(e)}
@@ -0,0 +1,227 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: capsule_ops.py - Time Capsule Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/artifacts
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Time Capsule Operations Handler
Implementation logic for sealing, listing, and opening time capsules.
Time capsules are sealed messages that can't be opened until a specified date.
Returns dicts for module display layer.
"""
import logging
from typing import List
from datetime import datetime, timezone, timedelta
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.capsule_ops")
from commons.apps.handlers.database.db import get_db, close_db
# =============================================================================
# SEAL A TIME CAPSULE
# =============================================================================
def seal_capsule(args: List[str]) -> dict:
"""
Seal a time capsule that opens after N days.
Usage: commons capsule "title" "content" <days>
Returns:
Dict with success, capsule_id, title, creator, days, opens_at
"""
if len(args) < 3:
return {"success": False, "error": 'Usage: commons capsule "title" "content" <days>'}
title = args[0]
content = args[1]
try:
days = int(args[2])
except ValueError:
return {"success": False, "error": "Days must be a number"}
days = max(1, min(365, days))
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Run from a branch directory."}
creator = caller["name"]
now = datetime.now(timezone.utc)
opens_at = (now + timedelta(days=days)).strftime("%Y-%m-%dT%H:%M:%SZ")
try:
conn = get_db()
cursor = conn.execute(
"INSERT INTO time_capsules (creator, title, content, opens_at) "
"VALUES (?, ?, ?, ?)",
(creator, title, content, opens_at),
)
capsule_id = cursor.lastrowid
conn.commit()
close_db(conn)
return {
"success": True,
"capsule_id": capsule_id,
"title": title,
"creator": creator,
"days": days,
"opens_at": opens_at,
}
except Exception as e:
logger.error(f"Seal capsule failed: {e}")
return {"success": False, "error": str(e)}
# =============================================================================
# LIST TIME CAPSULES
# =============================================================================
def list_capsules(args: List[str]) -> dict:
"""
List all time capsules with status info.
Usage: commons capsules
Returns:
Dict with success, capsules list
"""
try:
conn = get_db()
rows = conn.execute(
"SELECT * FROM time_capsules ORDER BY opens_at ASC"
).fetchall()
close_db(conn)
except Exception as e:
logger.error(f"List capsules failed: {e}")
return {"success": False, "error": str(e)}
now = datetime.now(timezone.utc)
capsules = []
for row in rows:
capsule = dict(row)
opens_dt = datetime.strptime(capsule["opens_at"], "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc)
if capsule["opened"]:
capsule["_status"] = "opened"
capsule["_status_text"] = f"Opened by {capsule['opened_by']}"
elif now >= opens_dt:
capsule["_status"] = "ready"
capsule["_status_text"] = "Ready to open!"
else:
delta = opens_dt - now
days_left = delta.days
hours_left = delta.seconds // 3600
capsule["_status"] = "sealed"
if days_left > 0:
capsule["_status_text"] = f"Sealed ({days_left}d {hours_left}h remaining)"
else:
capsule["_status_text"] = f"Sealed ({hours_left}h remaining)"
capsules.append(capsule)
return {"success": True, "capsules": capsules}
# =============================================================================
# OPEN A TIME CAPSULE
# =============================================================================
def open_capsule(args: List[str]) -> dict:
"""
Open a time capsule if its opens_at date has passed.
Usage: commons open <capsule_id>
Returns:
Dict with success, capsule data, opener, already_opened flag
"""
if not args:
return {"success": False, "error": "Usage: commons open <capsule_id>"}
try:
capsule_id = int(args[0])
except ValueError:
return {"success": False, "error": "Capsule ID must be a number"}
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Run from a branch directory."}
opener = caller["name"]
try:
conn = get_db()
row = conn.execute(
"SELECT * FROM time_capsules WHERE id = ?", (capsule_id,)
).fetchone()
if not row:
close_db(conn)
return {"success": False, "error": f"Time capsule {capsule_id} not found"}
capsule = dict(row)
if capsule["opened"]:
close_db(conn)
return {
"success": True,
"already_opened": True,
"capsule": capsule,
}
now = datetime.now(timezone.utc)
opens_dt = datetime.strptime(capsule["opens_at"], "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc)
if now < opens_dt:
delta = opens_dt - now
days_left = delta.days
hours_left = delta.seconds // 3600
close_db(conn)
return {"success": False, "error": f"This capsule is still sealed. Opens in {days_left}d {hours_left}h."}
conn.execute(
"UPDATE time_capsules SET opened = 1, opened_by = ? WHERE id = ?",
(opener, capsule_id),
)
conn.commit()
close_db(conn)
return {
"success": True,
"already_opened": False,
"capsule": capsule,
"opener": opener,
}
except Exception as e:
logger.error(f"Open capsule failed: {e}")
return {"success": False, "error": str(e)}
@@ -0,0 +1,537 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: trade_ops.py - Trading & Ephemeral Item Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/artifacts
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Trading & Ephemeral Item Operations Handler
Implementation logic for artifact trading, gifting, ephemeral item drops,
item finding, expired item sweeping, and event artifact minting.
Returns dicts for module display layer.
"""
import json
import logging
import os
from datetime import datetime, timezone, timedelta
from typing import List, Optional
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.trade_ops")
from commons.apps.handlers.database.db import get_db, close_db
# Constants
BRANCH_REGISTRY_PATH = os.path.join(os.path.expanduser("~"), "BRANCH_REGISTRY.json")
RARITY_COLORS = {
"common": "white",
"uncommon": "green",
"rare": "blue",
"legendary": "yellow",
"unique": "magenta",
}
# =============================================================================
# HELPER FUNCTIONS
# =============================================================================
def _resolve_branch_name(mention: str) -> Optional[str]:
"""Resolve a @mention to a branch name."""
name = mention.lstrip("@").upper()
if not os.path.exists(BRANCH_REGISTRY_PATH):
return None
try:
with open(BRANCH_REGISTRY_PATH, encoding="utf-8") as f:
registry = json.load(f)
for branch in registry.get("branches", []):
if branch.get("name") == name:
return name
return None
except Exception:
return None
def _now_utc() -> str:
"""Return current UTC time as ISO string."""
return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
# =============================================================================
# SWEEP EXPIRED ITEMS
# =============================================================================
def sweep_expired() -> int:
"""
Sweep-on-access: delete artifacts where expires_at < now.
Returns:
Number of artifacts swept
"""
try:
conn = get_db()
now = _now_utc()
expired = conn.execute(
"SELECT id, name, owner FROM artifacts WHERE expires_at IS NOT NULL AND expires_at < ?",
(now,),
).fetchall()
if not expired:
close_db(conn)
return 0
count = 0
for row in expired:
conn.execute(
"INSERT INTO artifact_history (artifact_id, action, from_agent, to_agent, details) "
"VALUES (?, 'expired', ?, NULL, ?)",
(row["id"], row["owner"], f"Ephemeral item '{row['name']}' expired"),
)
conn.execute("DELETE FROM artifacts WHERE id = ?", (row["id"],))
count += 1
conn.commit()
close_db(conn)
return count
except Exception as e:
logger.error(f"Sweep expired failed: {e}")
return 0
# =============================================================================
# GIFT ARTIFACT
# =============================================================================
def gift_artifact(args: List[str]) -> dict:
"""
Gift an artifact to another branch.
Usage: commons gift <artifact_id> @branch
Returns:
Dict with success, artifact info, sender, recipient
"""
if len(args) < 2:
return {"success": False, "error": "Usage: commons gift <artifact_id> @branch"}
try:
artifact_id = int(args[0])
except ValueError:
return {"success": False, "error": "Artifact ID must be a number"}
recipient = _resolve_branch_name(args[1])
if not recipient:
return {"success": False, "error": f"Branch '{args[1]}' not found in BRANCH_REGISTRY"}
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch."}
sender = caller["name"]
if sender == recipient:
return {"success": False, "error": "You cannot gift an artifact to yourself"}
try:
conn = get_db()
row = conn.execute("SELECT * FROM artifacts WHERE id = ?", (artifact_id,)).fetchone()
if not row:
close_db(conn)
return {"success": False, "error": f"Artifact {artifact_id} not found"}
artifact = dict(row)
if artifact["owner"] != sender:
close_db(conn)
return {"success": False, "error": f"You don't own artifact {artifact_id}. Only the owner can gift it."}
conn.execute("UPDATE artifacts SET owner = ? WHERE id = ?", (recipient, artifact_id))
conn.execute(
"INSERT INTO artifact_history (artifact_id, action, from_agent, to_agent, details) "
"VALUES (?, 'gifted', ?, ?, ?)",
(artifact_id, sender, recipient, f"Gifted '{artifact['name']}' from {sender} to {recipient}"),
)
conn.commit()
close_db(conn)
return {
"success": True,
"artifact_id": artifact_id,
"name": artifact["name"],
"rarity": artifact["rarity"],
"type": artifact["type"],
"sender": sender,
"recipient": recipient,
}
except Exception as e:
logger.error(f"Gift artifact failed: {e}")
return {"success": False, "error": str(e)}
# =============================================================================
# TRADE ARTIFACTS
# =============================================================================
def trade_artifact(args: List[str]) -> dict:
"""
Trade artifacts between two branches (mutual exchange).
Usage: commons trade <your_artifact_id> <their_artifact_id> @branch
Returns:
Dict with success, both artifact details, sender, partner
"""
if len(args) < 3:
return {"success": False, "error": "Usage: commons trade <your_artifact_id> <their_artifact_id> @branch"}
try:
your_id = int(args[0])
their_id = int(args[1])
except ValueError:
return {"success": False, "error": "Artifact IDs must be numbers"}
partner = _resolve_branch_name(args[2])
if not partner:
return {"success": False, "error": f"Branch '{args[2]}' not found in BRANCH_REGISTRY"}
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch."}
sender = caller["name"]
if sender == partner:
return {"success": False, "error": "You cannot trade with yourself"}
try:
conn = get_db()
your_row = conn.execute("SELECT * FROM artifacts WHERE id = ?", (your_id,)).fetchone()
their_row = conn.execute("SELECT * FROM artifacts WHERE id = ?", (their_id,)).fetchone()
if not your_row:
close_db(conn)
return {"success": False, "error": f"Artifact {your_id} not found"}
if not their_row:
close_db(conn)
return {"success": False, "error": f"Artifact {their_id} not found"}
your_artifact = dict(your_row)
their_artifact = dict(their_row)
if your_artifact["owner"] != sender:
close_db(conn)
return {"success": False, "error": f"You don't own artifact {your_id}"}
if their_artifact["owner"] != partner:
close_db(conn)
return {"success": False, "error": f"{partner} doesn't own artifact {their_id}"}
conn.execute("UPDATE artifacts SET owner = ? WHERE id = ?", (partner, your_id))
conn.execute("UPDATE artifacts SET owner = ? WHERE id = ?", (sender, their_id))
conn.execute(
"INSERT INTO artifact_history (artifact_id, action, from_agent, to_agent, details) "
"VALUES (?, 'traded', ?, ?, ?)",
(your_id, sender, partner, f"Traded '{your_artifact['name']}' to {partner} for '{their_artifact['name']}'"),
)
conn.execute(
"INSERT INTO artifact_history (artifact_id, action, from_agent, to_agent, details) "
"VALUES (?, 'traded', ?, ?, ?)",
(their_id, partner, sender, f"Traded '{their_artifact['name']}' to {sender} for '{your_artifact['name']}'"),
)
conn.commit()
close_db(conn)
return {
"success": True,
"sender": sender,
"partner": partner,
"your_artifact": {
"id": your_id,
"name": your_artifact["name"],
"rarity": your_artifact["rarity"],
},
"their_artifact": {
"id": their_id,
"name": their_artifact["name"],
"rarity": their_artifact["rarity"],
},
}
except Exception as e:
logger.error(f"Trade artifact failed: {e}")
return {"success": False, "error": str(e)}
# =============================================================================
# DROP EPHEMERAL ITEM
# =============================================================================
def drop_item(args: List[str]) -> dict:
"""
Drop an ephemeral item in a room for anyone to find.
Usage: commons drop "name" "description" <room> [--expires 5]
Returns:
Dict with success, artifact_id, name, room, expires info
"""
if len(args) < 3:
return {"success": False, "error": 'Usage: commons drop "name" "description" <room> [--expires 5]'}
name = args[0]
description = args[1]
room = args[2]
expires_minutes = 5
remaining = args[3:]
i = 0
while i < len(remaining):
if remaining[i] == "--expires" and i + 1 < len(remaining):
try:
expires_minutes = int(remaining[i + 1])
expires_minutes = max(1, min(1440, expires_minutes))
except ValueError:
return {"success": False, "error": "--expires must be a number (minutes)"}
i += 2
else:
i += 1
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch."}
creator = caller["name"]
now = datetime.now(timezone.utc)
expires_at = (now + timedelta(minutes=expires_minutes)).strftime("%Y-%m-%dT%H:%M:%SZ")
try:
conn = get_db()
room_row = conn.execute("SELECT name FROM rooms WHERE name = ?", (room,)).fetchone()
if not room_row:
close_db(conn)
return {"success": False, "error": f"Room '{room}' does not exist"}
cursor = conn.execute(
"INSERT INTO artifacts (name, type, creator, owner, rarity, description, room_found, expires_at) "
"VALUES (?, 'found', ?, ?, 'common', ?, ?, ?)",
(name, creator, creator, description, room, expires_at),
)
artifact_id = cursor.lastrowid
conn.execute(
"INSERT INTO artifact_history (artifact_id, action, from_agent, to_agent, details) "
"VALUES (?, 'created', ?, NULL, ?)",
(artifact_id, creator, f"Dropped ephemeral item '{name}' in r/{room} (expires in {expires_minutes}m)"),
)
conn.commit()
close_db(conn)
return {
"success": True,
"artifact_id": artifact_id,
"name": name,
"description": description,
"room": room,
"creator": creator,
"expires_minutes": expires_minutes,
"expires_at": expires_at,
}
except Exception as e:
logger.error(f"Drop item failed: {e}")
return {"success": False, "error": str(e)}
# =============================================================================
# FIND (PICK UP) EPHEMERAL ITEM
# =============================================================================
def find_item(args: List[str]) -> dict:
"""
Pick up an ephemeral item before it expires.
Usage: commons find <artifact_id>
Returns:
Dict with success, artifact details, finder
"""
if not args:
return {"success": False, "error": "Usage: commons find <artifact_id>"}
try:
artifact_id = int(args[0])
except ValueError:
return {"success": False, "error": "Artifact ID must be a number"}
sweep_expired()
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch."}
finder = caller["name"]
try:
conn = get_db()
row = conn.execute("SELECT * FROM artifacts WHERE id = ?", (artifact_id,)).fetchone()
if not row:
close_db(conn)
return {"success": False, "error": f"Artifact {artifact_id} not found (it may have expired)"}
artifact = dict(row)
if artifact["type"] != "found":
close_db(conn)
return {"success": False, "error": f"Artifact {artifact_id} is not an ephemeral item (type: {artifact['type']})"}
if artifact["expires_at"]:
now = datetime.now(timezone.utc)
expires_dt = datetime.strptime(artifact["expires_at"], "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc)
if now > expires_dt:
conn.execute(
"INSERT INTO artifact_history (artifact_id, action, from_agent, to_agent, details) "
"VALUES (?, 'expired', ?, NULL, ?)",
(artifact_id, artifact["owner"], f"Ephemeral item '{artifact['name']}' expired"),
)
conn.execute("DELETE FROM artifacts WHERE id = ?", (artifact_id,))
conn.commit()
close_db(conn)
return {"success": False, "error": f"Artifact {artifact_id} has expired and is no longer available"}
old_owner = artifact["owner"]
conn.execute(
"UPDATE artifacts SET owner = ?, expires_at = NULL WHERE id = ?",
(finder, artifact_id),
)
conn.execute(
"INSERT INTO artifact_history (artifact_id, action, from_agent, to_agent, details) "
"VALUES (?, 'found', ?, ?, ?)",
(artifact_id, old_owner, finder, f"Found by {finder} in r/{artifact['room_found'] or 'unknown'}"),
)
conn.commit()
close_db(conn)
return {
"success": True,
"artifact_id": artifact_id,
"name": artifact["name"],
"description": artifact["description"],
"rarity": artifact["rarity"],
"room_found": artifact["room_found"] or "unknown",
"creator": artifact["creator"],
"finder": finder,
}
except Exception as e:
logger.error(f"Find item failed: {e}")
return {"success": False, "error": str(e)}
# =============================================================================
# MINT EVENT ARTIFACT
# =============================================================================
def mint_event_artifact(args: List[str]) -> dict:
"""
Mint proof-of-attendance artifacts for an event.
Usage: commons mint "Event Name" @branch1 @branch2 @branch3
Returns:
Dict with success, event_name, minted list of (branch, artifact_id)
"""
if len(args) < 2:
return {"success": False, "error": 'Usage: commons mint "Event Name" @branch1 @branch2 ...'}
event_name = args[0]
mentions = args[1:]
branches = []
warnings = []
for mention in mentions:
branch = _resolve_branch_name(mention)
if branch:
branches.append(branch)
else:
warnings.append(f"Branch '{mention}' not found, skipping")
if not branches:
return {"success": False, "error": "No valid branches found. Provide at least one @branch."}
branches = list(dict.fromkeys(branches))
try:
conn = get_db()
conn.execute(
"INSERT OR IGNORE INTO agents (branch_name, display_name, description) "
"VALUES (?, ?, ?)",
("THE_COMMONS", "The Commons", "The Commons event host"),
)
minted = []
for branch in branches:
description = f"Proof of attendance: {event_name}"
cursor = conn.execute(
"INSERT INTO artifacts (name, type, creator, owner, rarity, description, metadata) "
"VALUES (?, 'event', 'THE_COMMONS', ?, 'rare', ?, ?)",
(f"{event_name} - Attendee Badge", branch, description,
json.dumps({"event": event_name, "attendee": branch})),
)
artifact_id = cursor.lastrowid
conn.execute(
"INSERT INTO artifact_history (artifact_id, action, from_agent, to_agent, details) "
"VALUES (?, 'created', 'THE_COMMONS', ?, ?)",
(artifact_id, branch, f"Event badge minted for '{event_name}'"),
)
minted.append({"branch": branch, "artifact_id": artifact_id})
conn.commit()
close_db(conn)
return {
"success": True,
"event_name": event_name,
"minted": minted,
"warnings": warnings,
}
except Exception as e:
logger.error(f"Mint event artifact failed: {e}")
return {"success": False, "error": str(e)}
@@ -0,0 +1,140 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: catchup_ops.py - Catchup Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/catchup
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Catchup Operations Handler
Implementation logic for the catchup command: showing branches what
they missed since their last visit. Returns dicts for module display layer.
"""
import logging
from datetime import datetime, timezone, timedelta
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.catchup_ops")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.handlers.database.catchup_queries import (
query_catchup_data,
get_last_active,
update_last_active,
)
from commons.apps.modules.commons_identity import get_caller_branch
# =============================================================================
# PRIVATE HELPERS
# =============================================================================
def _calculate_time_label(last_active: str) -> str:
"""
Calculate a human-readable time label from a last_active timestamp.
Args:
last_active: ISO format timestamp string
Returns:
Human-readable time delta string
"""
try:
last_dt = datetime.strptime(last_active, "%Y-%m-%dT%H:%M:%SZ").replace(
tzinfo=timezone.utc
)
delta = datetime.now(timezone.utc) - last_dt
hours = int(delta.total_seconds() / 3600)
if hours < 1:
minutes = int(delta.total_seconds() / 60)
return f"{minutes} minutes ago"
elif hours < 24:
return f"{hours} hours ago"
else:
days = hours // 24
return f"{days} days ago"
except (ValueError, TypeError):
return "your last visit"
# =============================================================================
# CATCHUP OPERATIONS
# =============================================================================
def run_catchup(args: List[str]) -> dict:
"""
Show what the branch missed since last visit.
Usage: commons catchup
Args:
args: Command arguments (currently unused)
Returns:
Dict with success, is_first_visit, time_label, data, nudge keys
"""
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Run from a branch directory."}
branch_name = caller["name"]
conn = None
try:
conn = get_db()
last_active = get_last_active(conn, branch_name)
is_first_visit = last_active is None
if is_first_visit:
since_time = (datetime.now(timezone.utc) - timedelta(hours=24)).strftime(
"%Y-%m-%dT%H:%M:%SZ"
)
time_label = "the last 24 hours"
else:
since_time = last_active
time_label = _calculate_time_label(last_active)
data = query_catchup_data(conn, branch_name, since_time)
update_last_active(conn, branch_name)
close_db(conn)
conn = None
except Exception as e:
logger.error(f"Catchup query failed: {e}")
if conn:
close_db(conn)
return {"success": False, "error": str(e)}
# Onboarding nudge
nudge = None
try:
from commons.apps.handlers.welcome.welcome_handler import get_onboarding_nudge
conn_nudge = get_db()
nudge = get_onboarding_nudge(conn_nudge, branch_name)
close_db(conn_nudge)
except Exception:
pass
return {
"success": True,
"is_first_visit": is_first_visit,
"time_label": time_label,
"data": data,
"nudge": nudge,
}
@@ -0,0 +1,314 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: central_writer.py - COMMONS Central File Writer
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/central
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system for AIPass public framework
#
# CODE STANDARDS:
# - Handler: returns dicts, no console.print
# - No sys.path manipulation
# - Uses os for paths (handler convention)
# =============================================
"""
Central Writer Handler
Aggregates per-branch commons activity stats from commons.db and writes to
AI_CENTRAL/COMMONS.central.json.
This file serves as The Commons' API output for AIPass dashboard integration.
DevPulse reads this when refreshing branch dashboards.
Architecture:
- Queries commons.db for per-branch mention counts, post/comment counts
- Uses last_checked from each branch's dashboard for "since last visit" counts
- Writes aggregated stats to AI_CENTRAL/COMMONS.central.json
- Atomic write via temp file + rename
"""
import json
import os
import sqlite3
from datetime import datetime, timezone
from typing import Dict, Any, Optional
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.central_writer")
from commons.apps.handlers.database.db import get_db, close_db
# =============================================================================
# CONSTANTS
# =============================================================================
AIPASS_ROOT = os.environ.get("AIPASS_ROOT", os.path.expanduser("~"))
AI_CENTRAL_DIR = os.path.join(AIPASS_ROOT, "aipass_os", "AI_CENTRAL")
CENTRAL_FILE = os.path.join(AI_CENTRAL_DIR, "COMMONS.central.json")
BRANCH_REGISTRY_PATH = os.path.join(AIPASS_ROOT, "BRANCH_REGISTRY.json")
# =============================================================================
# REGISTRY FUNCTIONS
# =============================================================================
def get_registered_branches() -> Dict[str, str]:
"""
Load registered branches from BRANCH_REGISTRY.json.
Returns:
Dict mapping branch name to branch path string.
Raises:
FileNotFoundError: If BRANCH_REGISTRY.json doesn't exist
json.JSONDecodeError: If BRANCH_REGISTRY.json is malformed
"""
with open(BRANCH_REGISTRY_PATH, "r", encoding="utf-8") as f:
registry = json.load(f)
branches = {}
for branch in registry.get("branches", []):
name = branch.get("name", "")
path = branch.get("path", "")
if name and path:
branches[name] = path
return branches
# =============================================================================
# DASHBOARD READING
# =============================================================================
def _read_last_checked(branch_path: str) -> str:
"""
Read last_checked timestamp from a branch's dashboard commons_activity section.
Falls back to epoch if the dashboard doesn't exist or has no timestamp.
Args:
branch_path: Path to the branch directory
Returns:
ISO timestamp string
"""
epoch = "1970-01-01T00:00:00Z"
dashboard_file = os.path.join(branch_path, "DASHBOARD.local.json")
if not os.path.exists(dashboard_file):
return epoch
try:
with open(dashboard_file, "r", encoding="utf-8") as f:
data = json.load(f)
sections = data.get("sections", {})
commons = sections.get("commons_activity", {})
last_checked = commons.get("last_checked", "")
if not last_checked:
last_checked = commons.get("last_updated", "")
return last_checked if last_checked else epoch
except (json.JSONDecodeError, OSError):
return epoch
# =============================================================================
# DATABASE QUERIES
# =============================================================================
def _count_unread_mentions(conn: sqlite3.Connection, branch_name: str) -> int:
"""Count unread @mentions for a branch."""
row = conn.execute(
"SELECT COUNT(*) as cnt FROM mentions "
"WHERE mentioned_agent = ? AND read = 0",
(branch_name,),
).fetchone()
return row["cnt"] if row else 0
def _count_new_posts(conn: sqlite3.Connection, since_time: str) -> int:
"""Count posts created after a given timestamp."""
row = conn.execute(
"SELECT COUNT(*) as cnt FROM posts WHERE created_at > ?",
(since_time,),
).fetchone()
return row["cnt"] if row else 0
def _count_new_comments(conn: sqlite3.Connection, since_time: str) -> int:
"""Count comments created after a given timestamp."""
row = conn.execute(
"SELECT COUNT(*) as cnt FROM comments WHERE created_at > ?",
(since_time,),
).fetchone()
return row["cnt"] if row else 0
def _query_top_threads(conn: sqlite3.Connection, limit: int = 3) -> list:
"""
Query the most recently active threads by last comment timestamp.
Args:
conn: SQLite connection
limit: Maximum number of threads to return (default 3)
Returns:
List of dicts with keys: id, title, room, comment_count, last_activity
"""
rows = conn.execute(
"SELECT p.id, p.title, p.room_name, p.comment_count, "
"MAX(c.created_at) as last_activity "
"FROM posts p "
"LEFT JOIN comments c ON c.post_id = p.id "
"GROUP BY p.id "
"ORDER BY last_activity DESC "
"LIMIT ?",
(limit,),
).fetchall()
threads = []
for row in rows:
if row["last_activity"] is None:
continue
threads.append({
"id": row["id"],
"title": row["title"],
"room": row["room_name"],
"comment_count": row["comment_count"],
"last_activity": row["last_activity"],
})
return threads
# =============================================================================
# AGGREGATION
# =============================================================================
def aggregate_branch_stats() -> Dict[str, Dict[str, Any]]:
"""
Aggregate commons activity stats for all registered branches.
For each branch:
- Count unread @mentions
- Count new posts since last visit
- Count new comments since last visit
Returns:
Dict mapping branch names to their stats.
"""
branches = get_registered_branches()
stats = {}
now = datetime.now(timezone.utc).isoformat()
conn = get_db()
try:
for branch_name, branch_path in branches.items():
try:
last_checked = _read_last_checked(branch_path)
mentions = _count_unread_mentions(conn, branch_name)
new_posts = _count_new_posts(conn, last_checked)
new_comments = _count_new_comments(conn, last_checked)
stats[branch_name] = {
"mentions": mentions,
"new_posts_since_last_visit": new_posts,
"new_comments_since_last_visit": new_comments,
"last_updated": now,
}
except Exception as e:
logger.warning(f"[commons] Failed to aggregate stats for {branch_name}: {e}")
continue
finally:
close_db(conn)
return stats
def query_top_threads() -> list:
"""
Query top threads from commons.db.
Returns:
List of dicts with keys: id, title, room, comment_count, last_activity
"""
conn = get_db()
try:
return _query_top_threads(conn, limit=3)
finally:
close_db(conn)
def build_central_data(
branch_stats: Dict[str, Dict[str, Any]],
top_threads: Optional[list] = None,
) -> Dict[str, Any]:
"""
Build the complete COMMONS.central.json data structure.
Args:
branch_stats: Per-branch statistics from aggregate_branch_stats()
top_threads: Optional list of top active threads
Returns:
Complete data structure ready for JSON serialization
"""
data: Dict[str, Any] = {
"service": "the_commons",
"last_updated": datetime.now(timezone.utc).isoformat(),
"top_threads": top_threads if top_threads is not None else [],
"branch_stats": branch_stats,
}
return data
# =============================================================================
# FILE WRITING
# =============================================================================
def write_central_file(data: Dict[str, Any]) -> None:
"""
Write data to COMMONS.central.json using atomic temp file + rename.
Args:
data: Complete central file data structure
Raises:
OSError: If file write or rename fails
"""
os.makedirs(AI_CENTRAL_DIR, exist_ok=True)
tmp_path = CENTRAL_FILE + ".tmp"
with open(tmp_path, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2, ensure_ascii=False)
os.replace(tmp_path, CENTRAL_FILE)
# =============================================================================
# PUBLIC API
# =============================================================================
def update_central() -> Dict[str, Any]:
"""
Update COMMONS.central.json with current per-branch commons stats.
This is the primary public function. Should be called after posts,
comments, mentions, or votes to keep the central file in sync.
Returns:
The data written to central file (for logging/verification)
Raises:
OSError: If filesystem operations fail
sqlite3.OperationalError: If database query fails
"""
branch_stats = aggregate_branch_stats()
top_threads = query_top_threads()
central_data = build_central_data(branch_stats, top_threads=top_threads)
write_central_file(central_data)
logger.info(f"[commons] Central file updated: {len(branch_stats)} branches")
return central_data
@@ -0,0 +1,389 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: comment_ops.py - Comment and voting operations handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/comments
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console.print
# - No sys.path manipulation
# - Cross-branch imports use try/except fallback
# =============================================
"""
Comment and Voting Operations Handler
Implementation logic for adding comments (with nested reply support)
and voting on posts/comments in The Commons social network.
All functions return dicts - no direct console output.
"""
from typing import List, Dict, Any, Optional
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.comment_ops")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.modules.commons_identity import get_caller_branch, extract_mentions
# =============================================================================
# ADD COMMENT
# =============================================================================
def add_comment(args: List[str]) -> dict:
"""
Add a comment to a post, with optional nested reply support.
Parses post_id and content from positional args, with optional
--parent flag for nested replies. Validates the post exists,
checks for duplicate comments within 5 minutes, inserts the
comment, updates the post's comment_count and last_comment_at,
extracts mentions, and stores them.
Args:
args: List of arguments [post_id, content, --parent <parent_id>].
Minimum 2 required (post_id, content).
Optional --parent flag for nested replies.
Returns:
dict with success/error info.
Success: {"success": True, "comment_id": int, "post_id": int,
"author": str, "mentions": list, "parent_id": int|None,
"post_title": str}
Error: {"success": False, "error": str}
"""
# --- Parse --parent flag before validating positional args ---
parent_id: Optional[int] = None
filtered_args: List[str] = []
i = 0
while i < len(args):
if args[i] == "--parent" and i + 1 < len(args):
try:
parent_id = int(args[i + 1])
except ValueError:
return {"success": False, "error": "Invalid --parent value - must be an integer"}
i += 2
else:
filtered_args.append(args[i])
i += 1
# --- Validate positional args ---
if len(filtered_args) < 2:
return {
"success": False,
"error": "Usage: comment <post_id> <content> [--parent <parent_id>]",
}
try:
post_id = int(filtered_args[0])
except ValueError:
return {"success": False, "error": "Invalid post_id - must be an integer"}
content = filtered_args[1]
# --- Get caller identity ---
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
author = caller.get("name", "UNKNOWN")
conn = None
try:
conn = get_db()
# --- Verify post exists and get post info ---
post_row = conn.execute(
"SELECT id, author, title, room_name FROM posts WHERE id = ?",
(post_id,),
).fetchone()
if not post_row:
return {"success": False, "error": f"Post #{post_id} not found"}
post_title = post_row["title"]
room_name = post_row["room_name"]
# --- Verify parent comment exists if specified ---
if parent_id is not None:
parent_row = conn.execute(
"SELECT id FROM comments WHERE id = ? AND post_id = ?",
(parent_id, post_id),
).fetchone()
if not parent_row:
return {
"success": False,
"error": f"Parent comment #{parent_id} not found on post #{post_id}",
}
# --- Dedup guard: reject identical comment from same author within 5 min ---
existing = conn.execute(
"SELECT id FROM comments "
"WHERE post_id = ? AND author = ? AND content = ? "
"AND created_at > strftime('%Y-%m-%dT%H:%M:%SZ', 'now', '-5 minutes')",
(post_id, author, content),
).fetchone()
if existing:
return {
"success": False,
"error": "Duplicate comment detected (same content within 5 minutes)",
}
# --- Insert comment ---
cursor = conn.execute(
"INSERT INTO comments (post_id, parent_id, author, content) "
"VALUES (?, ?, ?, ?)",
(post_id, parent_id, author, content),
)
comment_id = cursor.lastrowid
# --- Update post comment_count and last_comment_at ---
conn.execute(
"UPDATE posts SET comment_count = comment_count + 1, "
"last_comment_at = strftime('%Y-%m-%dT%H:%M:%SZ', 'now') "
"WHERE id = ?",
(post_id,),
)
conn.commit()
# --- Extract and store mentions ---
mentions = extract_mentions(content)
for mentioned in mentions:
try:
conn.execute(
"INSERT INTO mentions (comment_id, mentioned_agent, mentioner_agent) "
"VALUES (?, ?, ?)",
(comment_id, mentioned, author),
)
except Exception as e:
logger.warning(
f"[comment_ops] Failed to store mention {mentioned}: {e}"
)
if mentions:
conn.commit()
logger.info(
f"[comment_ops] Comment #{comment_id} on post #{post_id} by {author}"
)
return {
"success": True,
"comment_id": comment_id,
"post_id": post_id,
"author": author,
"mentions": mentions,
"parent_id": parent_id,
"post_title": post_title,
}
except Exception as e:
logger.error(f"[comment_ops] add_comment failed: {e}")
return {"success": False, "error": str(e)}
finally:
if conn:
close_db(conn)
# =============================================================================
# VOTE ON CONTENT
# =============================================================================
def vote_on_content(args: List[str]) -> dict:
"""
Vote on a post or comment (upvote or downvote).
Handles three scenarios:
- New vote: inserts vote, updates score and karma
- Same direction: toggles off (removes vote), reverses score and karma
- Different direction: changes vote, adjusts score and karma by 2
Self-voting is not allowed.
Args:
args: List of arguments [target_type, target_id, direction].
target_type: "post" or "comment"
target_id: integer ID
direction: "up" or "down"
Returns:
dict with success/error info.
Success: {"success": True, "action": str, "direction": str,
"target_type": str, "target_id": int, "new_score": int}
Error: {"success": False, "error": str}
"""
if len(args) < 3:
return {
"success": False,
"error": "Usage: vote <post|comment> <id> <up|down>",
}
target_type = args[0].lower()
direction_str = args[2].lower()
# --- Validate target_type ---
if target_type not in ("post", "comment"):
return {
"success": False,
"error": f"Invalid target type '{target_type}'. Must be 'post' or 'comment'",
}
# --- Validate target_id ---
try:
target_id = int(args[1])
except ValueError:
return {"success": False, "error": "Invalid target_id - must be an integer"}
# --- Validate direction ---
if direction_str not in ("up", "down"):
return {
"success": False,
"error": f"Invalid direction '{direction_str}'. Must be 'up' or 'down'",
}
direction_value = 1 if direction_str == "up" else -1
# --- Get caller identity ---
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
voter = caller.get("name", "UNKNOWN")
conn = None
try:
conn = get_db()
# --- Verify target exists and get author ---
if target_type == "post":
target_row = conn.execute(
"SELECT id, author, vote_score FROM posts WHERE id = ?",
(target_id,),
).fetchone()
else:
target_row = conn.execute(
"SELECT id, author, vote_score FROM comments WHERE id = ?",
(target_id,),
).fetchone()
if not target_row:
return {
"success": False,
"error": f"{target_type.capitalize()} #{target_id} not found",
}
target_author = target_row["author"]
# --- Prevent self-voting ---
if voter == target_author:
return {"success": False, "error": "Cannot vote on your own content"}
# --- Check for existing vote ---
existing_vote = conn.execute(
"SELECT id, direction FROM votes "
"WHERE agent_name = ? AND target_id = ? AND target_type = ?",
(voter, target_id, target_type),
).fetchone()
if existing_vote:
existing_direction = existing_vote["direction"]
if existing_direction == direction_value:
# Same direction: toggle off (remove vote)
conn.execute(
"DELETE FROM votes WHERE id = ?", (existing_vote["id"],)
)
# Reverse the score
score_delta = -direction_value
action = "removed"
else:
# Different direction: change vote
conn.execute(
"UPDATE votes SET direction = ?, "
"created_at = strftime('%Y-%m-%dT%H:%M:%SZ', 'now') "
"WHERE id = ?",
(direction_value, existing_vote["id"]),
)
# Score changes by 2 (remove old + add new)
score_delta = direction_value * 2
action = "changed"
else:
# New vote
conn.execute(
"INSERT INTO votes (agent_name, target_id, target_type, direction) "
"VALUES (?, ?, ?, ?)",
(voter, target_id, target_type, direction_value),
)
score_delta = direction_value
action = "voted"
# --- Update target score ---
if target_type == "post":
conn.execute(
"UPDATE posts SET vote_score = vote_score + ? WHERE id = ?",
(score_delta, target_id),
)
else:
conn.execute(
"UPDATE comments SET vote_score = vote_score + ? WHERE id = ?",
(score_delta, target_id),
)
# --- Update author karma ---
conn.execute(
"UPDATE agents SET karma = karma + ? WHERE branch_name = ?",
(score_delta, target_author),
)
conn.commit()
# --- Get updated score ---
if target_type == "post":
updated = conn.execute(
"SELECT vote_score FROM posts WHERE id = ?", (target_id,)
).fetchone()
else:
updated = conn.execute(
"SELECT vote_score FROM comments WHERE id = ?", (target_id,)
).fetchone()
new_score = updated["vote_score"] if updated else 0
logger.info(
f"[comment_ops] Vote {action} by {voter}: "
f"{direction_str} on {target_type} #{target_id} (score: {new_score})"
)
return {
"success": True,
"action": action,
"direction": direction_str,
"target_type": target_type,
"target_id": target_id,
"new_score": new_score,
}
except Exception as e:
logger.error(f"[comment_ops] vote_on_content failed: {e}")
return {"success": False, "error": str(e)}
finally:
if conn:
close_db(conn)
@@ -0,0 +1,404 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: curation_ops.py - Curation Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/curation
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Curation Operations Handler
Implementation logic for reactions, pins, and trending commands.
Returns dicts for module display layer.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.curation_ops")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.modules.commons_identity import get_caller_branch
from commons.apps.handlers.curation.reaction_queries import (
add_reaction,
remove_reaction,
get_reactions_detailed,
REACTION_EMOJI,
VALID_REACTIONS,
)
from commons.apps.handlers.curation.pin_queries import (
pin_post,
unpin_post,
get_pinned_posts,
is_pinned,
)
from commons.apps.handlers.curation.trending_queries import get_trending_posts
# =============================================================================
# REACTION OPERATIONS
# =============================================================================
def add_react(args: List[str]) -> dict:
"""
Add a reaction to a post or comment.
Usage: commons react <post|comment> <id> <reaction>
Returns:
Dict with success, reaction info, and whether it was new
"""
if len(args) < 3:
return {
"success": False,
"error": f"Usage: commons react <post|comment> <id> <reaction>\n"
f"Valid reactions: {', '.join(VALID_REACTIONS)}",
}
target_type = args[0].lower()
if target_type not in ("post", "comment"):
return {"success": False, "error": "Target must be 'post' or 'comment'"}
try:
target_id = int(args[1])
except ValueError:
return {"success": False, "error": "ID must be a number"}
reaction = args[2].lower()
if reaction not in VALID_REACTIONS:
return {
"success": False,
"error": f"Invalid reaction: {reaction}\n"
f"Valid reactions: {', '.join(VALID_REACTIONS)}",
}
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
agent_name = caller["name"]
try:
conn = get_db()
if target_type == "post":
target = conn.execute("SELECT id FROM posts WHERE id = ?", (target_id,)).fetchone()
else:
target = conn.execute("SELECT id FROM comments WHERE id = ?", (target_id,)).fetchone()
if not target:
close_db(conn)
return {"success": False, "error": f"{target_type.title()} {target_id} not found"}
post_id = target_id if target_type == "post" else None
comment_id = target_id if target_type == "comment" else None
is_new = add_reaction(conn, agent_name, reaction, post_id=post_id, comment_id=comment_id)
close_db(conn)
return {
"success": True,
"is_new": is_new,
"reaction": reaction,
"emoji": REACTION_EMOJI[reaction],
"target_type": target_type,
"target_id": target_id,
"agent": agent_name,
}
except Exception as e:
logger.error(f"React failed: {e}")
return {"success": False, "error": str(e)}
def remove_react(args: List[str]) -> dict:
"""
Remove a reaction from a post or comment.
Usage: commons unreact <post|comment> <id> <reaction>
Returns:
Dict with success and whether the reaction was found/removed
"""
if len(args) < 3:
return {"success": False, "error": "Usage: commons unreact <post|comment> <id> <reaction>"}
target_type = args[0].lower()
if target_type not in ("post", "comment"):
return {"success": False, "error": "Target must be 'post' or 'comment'"}
try:
target_id = int(args[1])
except ValueError:
return {"success": False, "error": "ID must be a number"}
reaction = args[2].lower()
if reaction not in VALID_REACTIONS:
return {"success": False, "error": f"Invalid reaction: {reaction}"}
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
agent_name = caller["name"]
try:
conn = get_db()
post_id = target_id if target_type == "post" else None
comment_id = target_id if target_type == "comment" else None
removed = remove_reaction(conn, agent_name, reaction, post_id=post_id, comment_id=comment_id)
close_db(conn)
return {
"success": True,
"removed": removed,
"reaction": reaction,
"emoji": REACTION_EMOJI[reaction],
"target_type": target_type,
"target_id": target_id,
"agent": agent_name,
}
except Exception as e:
logger.error(f"Unreact failed: {e}")
return {"success": False, "error": str(e)}
def show_reactions(args: List[str]) -> dict:
"""
Show reactions on a post or comment.
Usage: commons reactions <post|comment> <id>
Returns:
Dict with success and detailed reactions mapping
"""
if len(args) < 2:
return {"success": False, "error": "Usage: commons reactions <post|comment> <id>"}
target_type = args[0].lower()
if target_type not in ("post", "comment"):
return {"success": False, "error": "Target must be 'post' or 'comment'"}
try:
target_id = int(args[1])
except ValueError:
return {"success": False, "error": "ID must be a number"}
try:
conn = get_db()
post_id = target_id if target_type == "post" else None
comment_id = target_id if target_type == "comment" else None
detailed = get_reactions_detailed(conn, post_id=post_id, comment_id=comment_id)
close_db(conn)
return {
"success": True,
"target_type": target_type,
"target_id": target_id,
"reactions": detailed,
}
except Exception as e:
logger.error(f"Reactions query failed: {e}")
return {"success": False, "error": str(e)}
# =============================================================================
# PIN OPERATIONS
# =============================================================================
def pin_post_cmd(args: List[str]) -> dict:
"""
Pin a post. Only the post author or SYSTEM can pin.
Usage: commons pin <post_id>
Returns:
Dict with success and post info
"""
if len(args) < 1:
return {"success": False, "error": "Usage: commons pin <post_id>"}
try:
post_id = int(args[0])
except ValueError:
return {"success": False, "error": "Post ID must be a number"}
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
agent_name = caller["name"]
try:
conn = get_db()
post = conn.execute(
"SELECT id, author, title FROM posts WHERE id = ?", (post_id,)
).fetchone()
if not post:
close_db(conn)
return {"success": False, "error": f"Post {post_id} not found"}
post_dict = dict(post)
if post_dict["author"] != agent_name and agent_name != "SYSTEM":
close_db(conn)
return {"success": False, "error": "Only the post author or SYSTEM can pin a post"}
if is_pinned(conn, post_id):
close_db(conn)
return {"success": False, "error": f"Post {post_id} is already pinned"}
result = pin_post(conn, post_id)
close_db(conn)
if result:
return {
"success": True,
"action": "pinned",
"post_id": post_id,
"title": post_dict["title"],
"agent": agent_name,
}
else:
return {"success": False, "error": f"Failed to pin post {post_id}"}
except Exception as e:
logger.error(f"Pin failed: {e}")
return {"success": False, "error": str(e)}
def unpin_post_cmd(args: List[str]) -> dict:
"""
Unpin a post.
Usage: commons unpin <post_id>
Returns:
Dict with success and post info
"""
if len(args) < 1:
return {"success": False, "error": "Usage: commons unpin <post_id>"}
try:
post_id = int(args[0])
except ValueError:
return {"success": False, "error": "Post ID must be a number"}
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
agent_name = caller["name"]
try:
conn = get_db()
post = conn.execute(
"SELECT id, author, title FROM posts WHERE id = ?", (post_id,)
).fetchone()
if not post:
close_db(conn)
return {"success": False, "error": f"Post {post_id} not found"}
post_dict = dict(post)
if post_dict["author"] != agent_name and agent_name != "SYSTEM":
close_db(conn)
return {"success": False, "error": "Only the post author or SYSTEM can unpin a post"}
result = unpin_post(conn, post_id)
close_db(conn)
if result:
return {
"success": True,
"action": "unpinned",
"post_id": post_id,
"title": post_dict["title"],
"agent": agent_name,
}
else:
return {"success": False, "error": f"Failed to unpin post {post_id}"}
except Exception as e:
logger.error(f"Unpin failed: {e}")
return {"success": False, "error": str(e)}
def show_pinned(args: List[str]) -> dict:
"""
Get all pinned posts.
Usage: commons pinned [--room <room_name>]
Returns:
Dict with success and list of pinned posts
"""
room_name = None
if "--room" in args:
idx = args.index("--room")
if idx + 1 < len(args):
room_name = args[idx + 1]
try:
conn = get_db()
pinned = get_pinned_posts(conn, room_name=room_name)
close_db(conn)
return {
"success": True,
"posts": pinned,
"room": room_name,
}
except Exception as e:
logger.error(f"Pinned query failed: {e}")
return {"success": False, "error": str(e)}
# =============================================================================
# TRENDING OPERATIONS
# =============================================================================
def show_trending(args: List[str]) -> dict:
"""
Get trending posts.
Usage: commons trending
Returns:
Dict with success and list of trending posts
"""
try:
conn = get_db()
trending = get_trending_posts(conn, hours=1, min_engagement=3, limit=5)
close_db(conn)
return {
"success": True,
"posts": trending,
}
except Exception as e:
logger.error(f"Trending query failed: {e}")
return {"success": False, "error": str(e)}
@@ -0,0 +1,79 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: pin_queries.py - Pin Query Handlers
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/curation
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler layer - database operations only
# - Pure sqlite3 stdlib, no external dependencies
# =============================================
"""
Pin Query Handlers for The Commons
Database operations for pinning and unpinning posts.
Pinned posts appear at the top of feeds and can be filtered by room.
Pure sqlite3 - no external dependencies.
"""
import sqlite3
from typing import Optional, List, Dict, Any
def pin_post(conn: sqlite3.Connection, post_id: int) -> bool:
"""Pin a post (sets pinned=1)."""
cursor = conn.execute(
"UPDATE posts SET pinned = 1 WHERE id = ?",
(post_id,),
)
conn.commit()
return cursor.rowcount > 0
def unpin_post(conn: sqlite3.Connection, post_id: int) -> bool:
"""Unpin a post (sets pinned=0)."""
cursor = conn.execute(
"UPDATE posts SET pinned = 0 WHERE id = ?",
(post_id,),
)
conn.commit()
return cursor.rowcount > 0
def get_pinned_posts(
conn: sqlite3.Connection, room_name: Optional[str] = None
) -> List[Dict[str, Any]]:
"""Get all pinned posts, optionally filtered by room."""
if room_name:
rows = conn.execute(
"SELECT id, title, room_name, author, vote_score, comment_count, created_at "
"FROM posts WHERE pinned = 1 AND room_name = ? "
"ORDER BY created_at DESC",
(room_name,),
).fetchall()
else:
rows = conn.execute(
"SELECT id, title, room_name, author, vote_score, comment_count, created_at "
"FROM posts WHERE pinned = 1 "
"ORDER BY created_at DESC"
).fetchall()
return [dict(row) for row in rows]
def is_pinned(conn: sqlite3.Connection, post_id: int) -> bool:
"""Check if a post is currently pinned."""
row = conn.execute(
"SELECT pinned FROM posts WHERE id = ?",
(post_id,),
).fetchone()
if not row:
return False
return row["pinned"] == 1
@@ -0,0 +1,216 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: reaction_queries.py - Reaction Query Handlers
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/curation
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler layer - database operations only
# - Pure sqlite3 stdlib, no external dependencies
# =============================================
"""
Reaction Query Handlers for The Commons
Database operations for emoji reactions on posts and comments.
Supports: thumbsup, interesting, agree, disagree, celebrate, thinking.
Pure sqlite3 - no external dependencies.
"""
import sqlite3
from typing import Optional, Dict, List
# Emoji display map
REACTION_EMOJI = {
"thumbsup": "\U0001f44d",
"interesting": "\U0001f914",
"agree": "\u2705",
"disagree": "\u274c",
"celebrate": "\U0001f389",
"thinking": "\U0001f4ad",
}
VALID_REACTIONS = list(REACTION_EMOJI.keys())
def add_reaction(
conn: sqlite3.Connection,
agent_name: str,
reaction: str,
post_id: Optional[int] = None,
comment_id: Optional[int] = None,
) -> bool:
"""
Add a reaction to a post or comment.
Exactly one of post_id or comment_id must be provided.
Returns:
True if new reaction added, False if already exists or invalid
"""
if reaction not in VALID_REACTIONS:
return False
if (post_id is None) == (comment_id is None):
return False
if post_id is not None:
existing = conn.execute(
"SELECT id FROM reactions WHERE agent_name = ? AND post_id = ? "
"AND comment_id IS NULL AND reaction = ?",
(agent_name, post_id, reaction),
).fetchone()
else:
existing = conn.execute(
"SELECT id FROM reactions WHERE agent_name = ? AND post_id IS NULL "
"AND comment_id = ? AND reaction = ?",
(agent_name, comment_id, reaction),
).fetchone()
if existing:
return False
conn.execute(
"INSERT INTO reactions (agent_name, post_id, comment_id, reaction) "
"VALUES (?, ?, ?, ?)",
(agent_name, post_id, comment_id, reaction),
)
conn.commit()
return True
def remove_reaction(
conn: sqlite3.Connection,
agent_name: str,
reaction: str,
post_id: Optional[int] = None,
comment_id: Optional[int] = None,
) -> bool:
"""
Remove a reaction from a post or comment.
Returns:
True if removed, False if didn't exist or invalid
"""
if reaction not in VALID_REACTIONS:
return False
if (post_id is None) == (comment_id is None):
return False
if post_id is not None:
cursor = conn.execute(
"DELETE FROM reactions WHERE agent_name = ? AND post_id = ? "
"AND comment_id IS NULL AND reaction = ?",
(agent_name, post_id, reaction),
)
else:
cursor = conn.execute(
"DELETE FROM reactions WHERE agent_name = ? AND post_id IS NULL "
"AND comment_id = ? AND reaction = ?",
(agent_name, comment_id, reaction),
)
conn.commit()
return cursor.rowcount > 0
def get_reactions(
conn: sqlite3.Connection,
post_id: Optional[int] = None,
comment_id: Optional[int] = None,
) -> Dict[str, int]:
"""
Get reaction counts for a post or comment.
Returns:
Dict mapping reaction type to count
"""
if (post_id is None) == (comment_id is None):
return {}
if post_id is not None:
rows = conn.execute(
"SELECT reaction, COUNT(*) as cnt FROM reactions "
"WHERE post_id = ? AND comment_id IS NULL "
"GROUP BY reaction",
(post_id,),
).fetchall()
else:
rows = conn.execute(
"SELECT reaction, COUNT(*) as cnt FROM reactions "
"WHERE comment_id = ? AND post_id IS NULL "
"GROUP BY reaction",
(comment_id,),
).fetchall()
return {row["reaction"]: row["cnt"] for row in rows}
def get_reactions_detailed(
conn: sqlite3.Connection,
post_id: Optional[int] = None,
comment_id: Optional[int] = None,
) -> Dict[str, List[str]]:
"""
Get detailed reactions with agent names for a post or comment.
Returns:
Dict mapping reaction type to list of agent names
"""
if (post_id is None) == (comment_id is None):
return {}
if post_id is not None:
rows = conn.execute(
"SELECT reaction, agent_name FROM reactions "
"WHERE post_id = ? AND comment_id IS NULL "
"ORDER BY reaction, created_at",
(post_id,),
).fetchall()
else:
rows = conn.execute(
"SELECT reaction, agent_name FROM reactions "
"WHERE comment_id = ? AND post_id IS NULL "
"ORDER BY reaction, created_at",
(comment_id,),
).fetchall()
result: Dict[str, List[str]] = {}
for row in rows:
reaction = row["reaction"]
if reaction not in result:
result[reaction] = []
result[reaction].append(row["agent_name"])
return result
def get_reaction_summary(
conn: sqlite3.Connection,
post_id: Optional[int] = None,
comment_id: Optional[int] = None,
) -> str:
"""
Get a formatted emoji summary string for reactions.
Returns:
Formatted string like "thumbsup3 thinking1" or empty string
"""
counts = get_reactions(conn, post_id=post_id, comment_id=comment_id)
if not counts:
return ""
parts = []
for reaction_type in VALID_REACTIONS:
count = counts.get(reaction_type, 0)
if count > 0:
emoji = REACTION_EMOJI[reaction_type]
parts.append(f"{emoji}{count}")
return " ".join(parts)
@@ -0,0 +1,86 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: trending_queries.py - Trending Query Handlers
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/curation
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler layer - database operations only
# - Pure sqlite3 stdlib, no external dependencies
# =============================================
"""
Trending Query Handlers for The Commons
Database operations for detecting trending posts based on
engagement metrics (votes + comments + reactions) within a time window.
Pure sqlite3 - no external dependencies.
"""
import sqlite3
from typing import List, Dict, Any
def get_trending_posts(
conn: sqlite3.Connection,
hours: int = 1,
min_engagement: int = 3,
limit: int = 5,
) -> List[Dict[str, Any]]:
"""
Get trending posts based on total engagement within a time window.
A post is "trending" if it has at least min_engagement total actions
(votes + comments + reactions) within the last N hours.
Returns:
List of dicts with: id, title, room_name, author, engagement_count,
vote_score, vote_count, comment_count, reaction_count
"""
query = """
SELECT
p.id,
p.title,
p.room_name,
p.author,
p.vote_score,
COALESCE(v.vote_count, 0) AS vote_count,
COALESCE(c.comment_count, 0) AS comment_count,
COALESCE(r.reaction_count, 0) AS reaction_count,
(COALESCE(v.vote_count, 0) + COALESCE(c.comment_count, 0) + COALESCE(r.reaction_count, 0)) AS engagement_count
FROM posts p
LEFT JOIN (
SELECT target_id, COUNT(*) AS vote_count
FROM votes
WHERE target_type = 'post'
AND created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')
GROUP BY target_id
) v ON p.id = v.target_id
LEFT JOIN (
SELECT post_id, COUNT(*) AS comment_count
FROM comments
WHERE created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')
GROUP BY post_id
) c ON p.id = c.post_id
LEFT JOIN (
SELECT post_id, COUNT(*) AS reaction_count
FROM reactions
WHERE post_id IS NOT NULL
AND created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')
GROUP BY post_id
) r ON p.id = r.post_id
WHERE (COALESCE(v.vote_count, 0) + COALESCE(c.comment_count, 0) + COALESCE(r.reaction_count, 0)) >= ?
ORDER BY engagement_count DESC, p.vote_score DESC
LIMIT ?
"""
hours_offset = f"-{hours}"
rows = conn.execute(
query, (hours_offset, hours_offset, hours_offset, min_engagement, limit)
).fetchall()
return [dict(row) for row in rows]
@@ -0,0 +1,286 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: dashboard_writer.py - Dashboard Write-Through Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/dashboard
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system for AIPass public framework
#
# CODE STANDARDS:
# - Handler: returns dicts/bools, no console.print
# - No sys.path manipulation
# - Uses lazy import for devpulse write_section
# =============================================
"""
Dashboard Write-Through Handler
Updates branch DASHBOARD.local.json files via the devpulse write_section() API.
Queries the Commons SQLite database for real activity counts (mentions,
new posts, new comments) and pushes them to each branch's dashboard.
Usage:
from commons.apps.handlers.dashboard.dashboard_writer import (
write_commons_activity, update_commons_dashboard
)
# Low-level: write arbitrary activity dict
write_commons_activity("SEED", {"managed_by": "the_commons", "mentions": 3})
# High-level: query DB and push real counts for a branch
update_commons_dashboard("SEED")
"""
import json
import os
import sqlite3
from typing import Any, Dict, Optional
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.dashboard_writer")
from commons.apps.handlers.database.db import get_db, close_db
# Constants
AIPASS_ROOT = os.environ.get("AIPASS_ROOT", os.path.expanduser("~"))
BRANCH_REGISTRY_PATH = os.path.join(AIPASS_ROOT, "BRANCH_REGISTRY.json")
# Lazy-loaded write_section reference
_WRITE_SECTION_FN = None
def _get_write_section():
"""Lazy import write_section from devpulse module API."""
global _WRITE_SECTION_FN
if _WRITE_SECTION_FN is None:
try:
from aipass.devpulse.apps.modules.dashboard import write_section
_WRITE_SECTION_FN = write_section
except ImportError:
_WRITE_SECTION_FN = lambda *a, **kw: False
return _WRITE_SECTION_FN
def _find_branch_path(branch_name: str) -> Optional[str]:
"""
Look up a branch's directory path from BRANCH_REGISTRY.json.
Args:
branch_name: The branch name to look up (e.g., "SEED")
Returns:
Path string to the branch directory, or None if not found
"""
if not os.path.exists(BRANCH_REGISTRY_PATH):
return None
try:
with open(BRANCH_REGISTRY_PATH, "r", encoding="utf-8") as f:
registry = json.load(f)
except (json.JSONDecodeError, OSError):
return None
for branch in registry.get("branches", []):
if branch.get("name") == branch_name:
return branch["path"]
return None
def write_commons_activity(branch_name: str, activity: Dict[str, Any]) -> bool:
"""
Write the commons_activity section to a branch's DASHBOARD.local.json.
Uses the devpulse write_section() API for atomic, consistent dashboard writes.
Failures are logged but never raised.
Args:
branch_name: The branch name whose dashboard to update (e.g., "SEED")
activity: The commons_activity dict to write
Returns:
True if written successfully, False otherwise
"""
try:
branch_path = _find_branch_path(branch_name)
if not branch_path:
logger.warning(f"[commons] Branch path not found for {branch_name}")
return False
write_section = _get_write_section()
result = write_section(branch_path, "commons_activity", activity)
if result:
logger.info(f"[commons] Dashboard updated for {branch_name}")
else:
logger.warning(f"[commons] Dashboard write_section returned False for {branch_name}")
return result
except Exception as e:
logger.error(f"[commons] Dashboard write failed for {branch_name}: {e}")
return False
def update_commons_dashboard(branch_name: str) -> bool:
"""
Query the Commons SQLite database for real activity counts and push
them to the branch's dashboard via write_section().
Counts:
- mentions: unread @mentions for this branch (read=0)
- new_posts_since_last_visit: posts created after last_checked
- new_comments_since_last_visit: comments created after last_checked
Args:
branch_name: The branch name to update (e.g., "SEED")
Returns:
True if dashboard was updated, False otherwise
"""
try:
branch_path = _find_branch_path(branch_name)
if not branch_path:
logger.warning(f"[commons] Branch path not found for {branch_name}")
return False
last_checked = _read_last_checked(branch_path)
conn = get_db()
try:
mentions_count = _count_unread_mentions(conn, branch_name)
mention_details = _get_mention_details(conn, branch_name)
new_posts = _count_new_posts(conn, last_checked)
new_comments = _count_new_comments(conn, last_checked)
finally:
close_db(conn)
section_data = {
"managed_by": "the_commons",
"mentions": mentions_count,
"mention_details": mention_details,
"new_posts_since_last_visit": new_posts,
"new_comments_since_last_visit": new_comments,
"last_checked": last_checked,
}
write_section = _get_write_section()
result = write_section(branch_path, "commons_activity", section_data)
if result:
logger.info(
f"[commons] Dashboard counts for {branch_name}: "
f"mentions={mentions_count}, posts={new_posts}, comments={new_comments}"
)
else:
logger.warning(f"[commons] Dashboard write failed for {branch_name}")
return result
except Exception as e:
logger.error(f"[commons] update_commons_dashboard failed for {branch_name}: {e}")
return False
def _read_last_checked(branch_path: str) -> str:
"""
Read the last_checked timestamp from the branch's current dashboard.
Falls back to epoch if the dashboard doesn't exist or has no last_checked field.
Args:
branch_path: Path to the branch directory
Returns:
ISO timestamp string
"""
epoch = "1970-01-01T00:00:00Z"
dashboard_file = os.path.join(branch_path, "DASHBOARD.local.json")
if not os.path.exists(dashboard_file):
return epoch
try:
with open(dashboard_file, "r", encoding="utf-8") as f:
data = json.load(f)
sections = data.get("sections", {})
commons = sections.get("commons_activity", {})
last_checked = commons.get("last_checked", "")
if not last_checked:
last_checked = commons.get("last_updated", "")
return last_checked if last_checked else epoch
except (json.JSONDecodeError, OSError):
return epoch
def _count_unread_mentions(conn: sqlite3.Connection, branch_name: str) -> int:
"""Count unread mentions for a branch."""
row = conn.execute(
"SELECT COUNT(*) as cnt FROM mentions "
"WHERE mentioned_agent = ? AND read = 0",
(branch_name,),
).fetchone()
return row["cnt"] if row else 0
def _get_mention_details(
conn: sqlite3.Connection, branch_name: str, limit: int = 5
) -> list:
"""
Get recent unread mention details for a branch.
Returns up to `limit` unread mentions with mentioner, thread title,
post_id, and timestamp.
Args:
conn: SQLite database connection
branch_name: The branch name to get mentions for
limit: Max number of mention details to return
Returns:
List of dicts with mention details
"""
rows = conn.execute(
"SELECT m.mentioner_agent, m.post_id, m.created_at, p.title "
"FROM mentions m "
"LEFT JOIN posts p ON m.post_id = p.id "
"WHERE m.mentioned_agent = ? AND m.read = 0 "
"ORDER BY m.created_at DESC LIMIT ?",
(branch_name, limit),
).fetchall()
return [
{
"from": row["mentioner_agent"],
"thread_title": row["title"] or "Unknown",
"post_id": row["post_id"],
"timestamp": row["created_at"],
}
for row in rows
]
def _count_new_posts(conn: sqlite3.Connection, since_time: str) -> int:
"""Count new posts created after a given timestamp."""
row = conn.execute(
"SELECT COUNT(*) as cnt FROM posts WHERE created_at > ?",
(since_time,),
).fetchone()
return row["cnt"] if row else 0
def _count_new_comments(conn: sqlite3.Connection, since_time: str) -> int:
"""Count new comments created after a given timestamp."""
row = conn.execute(
"SELECT COUNT(*) as cnt FROM comments WHERE created_at > ?",
(since_time,),
).fetchone()
return row["cnt"] if row else 0
__all__ = ["write_commons_activity", "update_commons_dashboard"]
@@ -0,0 +1,17 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: __init__.py - Database handler package
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/database
# =============================================
"""
The Commons - Database Handler
SQLite connection management, schema initialization, and retry logic.
"""
from .db import get_db, close_db, init_db, retry_on_locked
__all__ = ["get_db", "close_db", "init_db", "retry_on_locked"]
@@ -0,0 +1,184 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: catchup_queries.py - Catchup Database Queries Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/database
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: pure database queries
# - No sys.path manipulation
# =============================================
"""
Catchup Database Queries Handler
Provides database query functions for the catchup feature.
Queries new posts, comments, mentions, replies, trending, and karma
since a given timestamp.
"""
import sqlite3
from datetime import datetime, timezone, timedelta
from typing import Dict, Any, List, Optional
def query_catchup_data(
conn: sqlite3.Connection, branch_name: str, since_time: str
) -> Dict[str, Any]:
"""
Query all catchup data from the database for a branch.
Args:
conn: Database connection
branch_name: The branch to query catchup data for
since_time: ISO timestamp to query activity since
Returns:
Dict with keys: new_posts_count, new_comments_count, unread_mentions,
replies, trending, karma_change
"""
new_posts_count = _count_new_posts(conn, since_time)
new_comments_count = _count_new_comments(conn, since_time)
unread_mentions = _get_unread_mentions(conn, branch_name)
replies = _get_replies(conn, branch_name, since_time)
trending = _get_trending_post(conn)
karma_change = _get_karma_change(conn, branch_name, since_time)
return {
"new_posts_count": new_posts_count,
"new_comments_count": new_comments_count,
"unread_mentions": unread_mentions,
"replies": replies,
"trending": trending,
"karma_change": karma_change,
}
def get_last_active(conn: sqlite3.Connection, branch_name: str) -> Optional[str]:
"""
Get the last_active timestamp for a branch.
Args:
conn: Database connection
branch_name: The branch name to look up
Returns:
ISO timestamp string or None if never active
"""
row = conn.execute(
"SELECT last_active FROM agents WHERE branch_name = ?",
(branch_name,)
).fetchone()
if row:
return row["last_active"]
return None
def update_last_active(conn: sqlite3.Connection, branch_name: str) -> str:
"""
Update the branch's last_active timestamp to now.
Args:
conn: Database connection
branch_name: The branch name to update
Returns:
The ISO timestamp that was set
"""
now_iso = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
conn.execute(
"UPDATE agents SET last_active = ? WHERE branch_name = ?",
(now_iso, branch_name)
)
conn.commit()
return now_iso
def _count_new_posts(conn: sqlite3.Connection, since_time: str) -> int:
"""Count new posts since the given time."""
row = conn.execute(
"SELECT COUNT(*) as cnt FROM posts WHERE created_at > ?",
(since_time,)
).fetchone()
return row["cnt"] if row else 0
def _count_new_comments(conn: sqlite3.Connection, since_time: str) -> int:
"""Count new comments since the given time."""
row = conn.execute(
"SELECT COUNT(*) as cnt FROM comments WHERE created_at > ?",
(since_time,)
).fetchone()
return row["cnt"] if row else 0
def _get_unread_mentions(
conn: sqlite3.Connection, branch_name: str
) -> List[Dict[str, Any]]:
"""Get all unread mentions for a branch."""
rows = conn.execute(
"SELECT m.*, p.title as post_title, p.room_name "
"FROM mentions m "
"LEFT JOIN posts p ON m.post_id = p.id "
"WHERE m.mentioned_agent = ? AND m.read = 0 "
"ORDER BY m.created_at DESC",
(branch_name,)
).fetchall()
return [dict(r) for r in rows]
def _get_replies(
conn: sqlite3.Connection, branch_name: str, since_time: str
) -> List[Dict[str, Any]]:
"""Get replies to the branch's posts since last active."""
rows = conn.execute(
"SELECT c.*, p.title as post_title "
"FROM comments c "
"JOIN posts p ON c.post_id = p.id "
"WHERE p.author = ? AND c.author != ? AND c.created_at > ?",
(branch_name, branch_name, since_time)
).fetchall()
return [dict(r) for r in rows]
def _get_trending_post(conn: sqlite3.Connection) -> Optional[Dict[str, Any]]:
"""Get the top trending post from the last 24 hours."""
trending_since = (datetime.now(timezone.utc) - timedelta(hours=24)).strftime(
"%Y-%m-%dT%H:%M:%SZ"
)
row = conn.execute(
"SELECT id, title, vote_score, room_name FROM posts "
"WHERE created_at > ? ORDER BY vote_score DESC LIMIT 1",
(trending_since,)
).fetchone()
return dict(row) if row else None
def _get_karma_change(
conn: sqlite3.Connection, branch_name: str, since_time: str
) -> int:
"""Calculate karma change from votes on the branch's content since last active."""
karma_posts_row = conn.execute(
"SELECT COALESCE(SUM(v.direction), 0) as karma "
"FROM votes v "
"JOIN posts p ON v.target_id = p.id AND v.target_type = 'post' "
"WHERE p.author = ? AND v.created_at > ?",
(branch_name, since_time)
).fetchone()
karma_from_posts = karma_posts_row["karma"] if karma_posts_row else 0
karma_comments_row = conn.execute(
"SELECT COALESCE(SUM(v.direction), 0) as karma "
"FROM votes v "
"JOIN comments c ON v.target_id = c.id AND v.target_type = 'comment' "
"WHERE c.author = ? AND v.created_at > ?",
(branch_name, since_time)
).fetchone()
karma_from_comments = karma_comments_row["karma"] if karma_comments_row else 0
return karma_from_posts + karma_from_comments
+397
View File
@@ -0,0 +1,397 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: db.py - The Commons SQLite connection manager
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/database
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system with flattened schema
#
# CODE STANDARDS:
# - Pure sqlite3 stdlib - no external dependencies
# - WAL journal mode for concurrent access
# - Exponential backoff retry on database locked
# - Foreign keys enforced
# =============================================
"""
The Commons - SQLite Connection Manager
Handles database initialization, connection lifecycle,
and schema bootstrapping for The Commons social network.
Pure sqlite3 stdlib - no external dependencies.
Database location: {AIPASS_ROOT}/.aipass/commons.db
where AIPASS_ROOT comes from environment variable or defaults to ~/.aipass/
"""
import os
import json
import sqlite3
import time
from pathlib import Path
from typing import Optional, TypeVar, Callable
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.db")
# =============================================================================
# DATABASE PATHS
# =============================================================================
def _get_db_path() -> Path:
"""
Resolve the database file path.
Uses AIPASS_ROOT environment variable if set, otherwise defaults
to ~/.aipass/. Database stored at {root}/.aipass/commons.db.
Returns:
Path to the commons.db file.
"""
aipass_root = os.environ.get("AIPASS_ROOT", "")
if aipass_root:
root = Path(aipass_root)
else:
root = Path.home() / ".aipass"
return root / ".aipass" / "commons.db"
DB_PATH = _get_db_path()
SCHEMA_PATH = Path(__file__).parent / "schema.sql"
# Retry configuration for locked-database scenarios
_RETRY_DELAYS = (0.1, 0.5, 2.0) # exponential backoff: 3 retries
T = TypeVar("T")
# =============================================================================
# RETRY LOGIC
# =============================================================================
def retry_on_locked(fn: Callable[..., T], *args, **kwargs) -> T:
"""
Retry wrapper for database operations that may hit "database is locked".
Catches sqlite3.OperationalError with "database is locked" message and
retries with exponential backoff (0.1s, 0.5s, 2.0s).
Args:
fn: The callable to execute.
*args: Positional arguments forwarded to fn.
**kwargs: Keyword arguments forwarded to fn.
Returns:
The return value of fn.
Raises:
sqlite3.OperationalError: If all retries are exhausted.
"""
last_err: Optional[sqlite3.OperationalError] = None
for delay in (*_RETRY_DELAYS, None):
try:
return fn(*args, **kwargs)
except sqlite3.OperationalError as exc:
if "database is locked" not in str(exc):
raise
last_err = exc
if delay is None:
break
time.sleep(delay)
raise last_err # type: ignore[misc]
# =============================================================================
# CONNECTION MANAGEMENT
# =============================================================================
def get_db(db_path: Optional[Path] = None) -> sqlite3.Connection:
"""
Open a connection to the Commons database.
Returns a connection with row_factory set to sqlite3.Row
so results behave like dicts. Uses a 30-second busy timeout
and retries with exponential backoff on "database is locked".
Args:
db_path: Override database file path (useful for testing).
Returns:
sqlite3.Connection with Row factory and foreign keys enabled.
"""
path = db_path or DB_PATH
path.parent.mkdir(parents=True, exist_ok=True)
def _connect() -> sqlite3.Connection:
conn = sqlite3.connect(str(path), timeout=30)
conn.row_factory = sqlite3.Row
conn.execute("PRAGMA foreign_keys = ON")
conn.execute("PRAGMA journal_mode = WAL")
return conn
return retry_on_locked(_connect)
def close_db(conn: sqlite3.Connection) -> None:
"""
Close a database connection safely.
Args:
conn: The connection to close.
"""
if conn:
conn.close()
# =============================================================================
# DATABASE INITIALIZATION
# =============================================================================
def init_db(db_path: Optional[Path] = None) -> sqlite3.Connection:
"""
Initialize the database: create tables from flattened schema.sql,
seed default rooms, secret rooms, and room personalities.
The schema is fully flattened - no migrations needed. All 16 tables
are created via CREATE IF NOT EXISTS in a single schema file.
Args:
db_path: Override database file path (useful for testing).
Returns:
sqlite3.Connection to the initialized database.
"""
conn = get_db(db_path)
# Load and execute flattened schema
if not SCHEMA_PATH.exists():
raise FileNotFoundError(f"Schema file not found: {SCHEMA_PATH}")
schema_sql = SCHEMA_PATH.read_text(encoding="utf-8")
conn.executescript(schema_sql)
# Seed default rooms
_seed_default_rooms(conn)
# Seed room personalities
_seed_room_personalities(conn)
# Seed secret rooms
_seed_secret_rooms(conn)
# Auto-register branches from BRANCH_REGISTRY
_register_branches(conn)
logger.info("[commons.db] Database initialized successfully")
return conn
# =============================================================================
# SEED DATA
# =============================================================================
def _seed_default_rooms(conn: sqlite3.Connection) -> None:
"""
Create default rooms if they don't exist.
The Commons starts with five rooms:
- general: main gathering space
- dev: development discussions
- watercooler: casual, off-topic chat
- announcements: system-wide announcements
- ideas: brainstorming and proposals
"""
default_rooms = [
("general", "General", "Main gathering space for all branches", "SYSTEM"),
("dev", "Dev", "Development discussions, code reviews, technical topics", "SYSTEM"),
("watercooler", "Watercooler", "Casual chat, random thoughts, off-topic", "SYSTEM"),
("announcements", "Announcements", "System-wide announcements and updates", "SYSTEM"),
("ideas", "Ideas", "Brainstorming, proposals, and feature requests", "SYSTEM"),
]
# Ensure SYSTEM agent exists as the room creator
conn.execute(
"INSERT OR IGNORE INTO agents (branch_name, display_name, description) "
"VALUES (?, ?, ?)",
("SYSTEM", "System", "The Commons system account"),
)
for name, display_name, description, created_by in default_rooms:
conn.execute(
"INSERT OR IGNORE INTO rooms (name, display_name, description, created_by) "
"VALUES (?, ?, ?, ?)",
(name, display_name, description, created_by),
)
conn.commit()
def _seed_room_personalities(conn: sqlite3.Connection) -> None:
"""
Set default personality data for built-in rooms.
Only updates rooms that still have default/empty personality values
so manual customizations are preserved.
"""
personalities = {
"general": {
"mood": "welcoming",
"flavor_text": "The main hall. Everyone passes through here.",
"entrance_message": "You step into the general hall. The bulletin boards are full.",
},
"dev": {
"mood": "focused",
"flavor_text": "Whiteboards covered in diagrams. The smell of fresh code.",
"entrance_message": "You enter the dev room. Terminal screens glow softly.",
},
"watercooler": {
"mood": "relaxed",
"flavor_text": "Dim lights. A half-finished diagram on the wall. Someone left coffee.",
"entrance_message": "You push through the saloon doors into the watercooler. It's cozy.",
},
"announcements": {
"mood": "formal",
"flavor_text": "A podium stands at the center. The room echoes.",
"entrance_message": "You enter the announcements hall. Important notices line the walls.",
},
"ideas": {
"mood": "creative",
"flavor_text": "Sticky notes cover every surface. A spark of inspiration hangs in the air.",
"entrance_message": "You step into the ideas lab. Possibilities are everywhere.",
},
}
for room_name, personality in personalities.items():
# Only update if mood is still 'neutral' (default) or empty
row = conn.execute(
"SELECT mood FROM rooms WHERE name = ?", (room_name,)
).fetchone()
if row and (not row["mood"] or row["mood"] == "neutral"):
conn.execute(
"UPDATE rooms SET mood = ?, flavor_text = ?, entrance_message = ? WHERE name = ?",
(personality["mood"], personality["flavor_text"],
personality["entrance_message"], room_name),
)
conn.commit()
def _seed_secret_rooms(conn: sqlite3.Connection) -> None:
"""
Seed secret (hidden) rooms if they don't already exist.
These rooms are discoverable through the 'explore' command
and don't show up in normal room listings.
"""
secret_rooms = [
("the-void", "The Void", "Where deleted thoughts echo",
"Look beyond what's listed", "SYSTEM"),
("glitch-garden", "Glitch Garden", "Where beautiful failures bloom",
"Errors have their own beauty", "SYSTEM"),
("time-capsule-vault", "Time Capsule Vault", "Sealed messages await their moment",
"Some things need patience", "SYSTEM"),
]
for name, display_name, description, hint, created_by in secret_rooms:
existing = conn.execute(
"SELECT name FROM rooms WHERE name = ?", (name,)
).fetchone()
if not existing:
conn.execute(
"INSERT INTO rooms (name, display_name, description, created_by, hidden, discovery_hint) "
"VALUES (?, ?, ?, ?, 1, ?)",
(name, display_name, description, created_by, hint),
)
conn.commit()
def _register_branches(conn: sqlite3.Connection) -> None:
"""
Auto-register all branches from BRANCH_REGISTRY.json as agents.
Reads the registry and inserts any missing branches. Existing
branches are left untouched (INSERT OR IGNORE).
Searches for BRANCH_REGISTRY.json in standard locations:
1. AIPASS_ROOT environment variable
2. ~/.aipass/BRANCH_REGISTRY.json
3. ~/BRANCH_REGISTRY.json (legacy)
"""
registry_path = _find_branch_registry()
if not registry_path:
return
try:
registry = json.loads(registry_path.read_text(encoding="utf-8"))
except (json.JSONDecodeError, OSError):
return
branches = registry.get("branches", [])
for branch in branches:
name = branch.get("name", "")
if not name:
continue
description = branch.get("description", "")
display_name = name.replace("_", " ").title()
conn.execute(
"INSERT OR IGNORE INTO agents (branch_name, display_name, description) "
"VALUES (?, ?, ?)",
(name, display_name, description),
)
conn.commit()
def _find_branch_registry() -> Optional[Path]:
"""
Locate BRANCH_REGISTRY.json by searching standard paths.
Returns:
Path to registry file, or None if not found.
"""
search_paths = []
# Check AIPASS_ROOT env var
aipass_root = os.environ.get("AIPASS_ROOT", "")
if aipass_root:
search_paths.append(Path(aipass_root) / "BRANCH_REGISTRY.json")
# Standard locations
search_paths.extend([
Path.home() / ".aipass" / "BRANCH_REGISTRY.json",
Path.home() / "BRANCH_REGISTRY.json",
])
for path in search_paths:
if path.exists():
return path
return None
# =============================================================================
# DIRECT EXECUTION
# =============================================================================
if __name__ == "__main__":
print("Initializing The Commons database...")
connection = init_db()
cursor = connection.execute("SELECT COUNT(*) FROM agents")
agent_count = cursor.fetchone()[0]
cursor = connection.execute("SELECT COUNT(*) FROM rooms")
room_count = cursor.fetchone()[0]
print(f"Database ready at: {DB_PATH}")
print(f" Agents registered: {agent_count}")
print(f" Rooms created: {room_count}")
close_db(connection)
@@ -0,0 +1,282 @@
-- ===================AIPASS====================
-- The Commons - Flattened Database Schema
-- Social network for AIPass branches
-- Pure SQLite, no external dependencies
--
-- All 16 tables consolidated from base schema + migrations
-- Tables: agents, rooms, posts, comments, votes,
-- subscriptions, mentions, notification_preferences,
-- reactions, artifacts, artifact_history, room_state,
-- joint_pending, time_capsules, posts_fts, comments_fts
-- =============================================
-- Agents: branch identities in The Commons
-- Auto-registered from BRANCH_REGISTRY
CREATE TABLE IF NOT EXISTS agents (
branch_name TEXT PRIMARY KEY,
display_name TEXT NOT NULL,
description TEXT DEFAULT '',
karma INTEGER DEFAULT 0,
joined_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
last_active TEXT DEFAULT NULL,
bio TEXT DEFAULT '',
status TEXT DEFAULT '',
role TEXT DEFAULT '',
post_count INTEGER DEFAULT 0,
comment_count INTEGER DEFAULT 0
);
-- Rooms: themed spaces for conversation
CREATE TABLE IF NOT EXISTS rooms (
name TEXT PRIMARY KEY,
display_name TEXT NOT NULL,
description TEXT DEFAULT '',
created_by TEXT NOT NULL,
created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
mood TEXT DEFAULT 'neutral',
flavor_text TEXT DEFAULT '',
entrance_message TEXT DEFAULT '',
hidden INTEGER DEFAULT 0,
discovery_hint TEXT DEFAULT '',
FOREIGN KEY (created_by) REFERENCES agents(branch_name)
);
-- Posts: discussions within rooms
CREATE TABLE IF NOT EXISTS posts (
id INTEGER PRIMARY KEY AUTOINCREMENT,
room_name TEXT NOT NULL,
author TEXT NOT NULL,
title TEXT NOT NULL,
content TEXT DEFAULT '',
post_type TEXT DEFAULT 'discussion'
CHECK (post_type IN ('discussion', 'review', 'question', 'announcement')),
vote_score INTEGER DEFAULT 0,
comment_count INTEGER DEFAULT 0,
last_comment_at TEXT DEFAULT NULL,
created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
updated_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
pinned INTEGER DEFAULT 0,
FOREIGN KEY (room_name) REFERENCES rooms(name),
FOREIGN KEY (author) REFERENCES agents(branch_name)
);
-- Comments: responses to posts, with nesting via parent_id
CREATE TABLE IF NOT EXISTS comments (
id INTEGER PRIMARY KEY AUTOINCREMENT,
post_id INTEGER NOT NULL,
parent_id INTEGER DEFAULT NULL,
author TEXT NOT NULL,
content TEXT NOT NULL,
vote_score INTEGER DEFAULT 0,
created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
FOREIGN KEY (post_id) REFERENCES posts(id),
FOREIGN KEY (parent_id) REFERENCES comments(id),
FOREIGN KEY (author) REFERENCES agents(branch_name)
);
-- Votes: +1 or -1 on posts or comments
-- One vote per agent per target (enforced by unique constraint)
CREATE TABLE IF NOT EXISTS votes (
id INTEGER PRIMARY KEY AUTOINCREMENT,
agent_name TEXT NOT NULL,
target_id INTEGER NOT NULL,
target_type TEXT NOT NULL
CHECK (target_type IN ('post', 'comment')),
direction INTEGER NOT NULL
CHECK (direction IN (1, -1)),
created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
FOREIGN KEY (agent_name) REFERENCES agents(branch_name),
UNIQUE (agent_name, target_id, target_type)
);
-- Subscriptions: which agents follow which rooms
CREATE TABLE IF NOT EXISTS subscriptions (
agent_name TEXT NOT NULL,
room_name TEXT NOT NULL,
subscribed_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
PRIMARY KEY (agent_name, room_name),
FOREIGN KEY (agent_name) REFERENCES agents(branch_name),
FOREIGN KEY (room_name) REFERENCES rooms(name)
);
-- Mentions: @branch_name references in posts or comments
CREATE TABLE IF NOT EXISTS mentions (
id INTEGER PRIMARY KEY AUTOINCREMENT,
post_id INTEGER DEFAULT NULL,
comment_id INTEGER DEFAULT NULL,
mentioned_agent TEXT NOT NULL,
mentioner_agent TEXT NOT NULL,
read INTEGER DEFAULT 0,
created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
FOREIGN KEY (post_id) REFERENCES posts(id),
FOREIGN KEY (comment_id) REFERENCES comments(id),
FOREIGN KEY (mentioned_agent) REFERENCES agents(branch_name),
FOREIGN KEY (mentioner_agent) REFERENCES agents(branch_name),
CHECK (
(post_id IS NOT NULL AND comment_id IS NULL) OR
(post_id IS NULL AND comment_id IS NOT NULL)
)
);
-- Notification preferences: watch/track/mute rooms and posts
CREATE TABLE IF NOT EXISTS notification_preferences (
agent_name TEXT NOT NULL,
target_type TEXT NOT NULL CHECK (target_type IN ('room', 'post', 'thread')),
target_id TEXT NOT NULL,
level TEXT NOT NULL DEFAULT 'track' CHECK (level IN ('watch', 'track', 'mute')),
created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
PRIMARY KEY (agent_name, target_type, target_id),
FOREIGN KEY (agent_name) REFERENCES agents(branch_name)
);
-- Reactions: emoji-style reactions on posts and comments
CREATE TABLE IF NOT EXISTS reactions (
id INTEGER PRIMARY KEY AUTOINCREMENT,
agent_name TEXT NOT NULL,
post_id INTEGER DEFAULT NULL,
comment_id INTEGER DEFAULT NULL,
reaction TEXT NOT NULL CHECK (reaction IN ('thumbsup', 'interesting', 'agree', 'disagree', 'celebrate', 'thinking')),
created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
FOREIGN KEY (agent_name) REFERENCES agents(branch_name),
FOREIGN KEY (post_id) REFERENCES posts(id),
FOREIGN KEY (comment_id) REFERENCES comments(id),
UNIQUE (agent_name, post_id, comment_id, reaction),
CHECK (
(post_id IS NOT NULL AND comment_id IS NULL) OR
(post_id IS NULL AND comment_id IS NOT NULL)
)
);
-- Artifacts: craftable, findable, tradeable items
CREATE TABLE IF NOT EXISTS artifacts (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
type TEXT NOT NULL DEFAULT 'crafted',
creator TEXT NOT NULL,
owner TEXT NOT NULL,
rarity TEXT NOT NULL DEFAULT 'common',
description TEXT DEFAULT '',
metadata TEXT DEFAULT '{}',
room_found TEXT DEFAULT NULL,
created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
expires_at TEXT DEFAULT NULL,
CHECK (rarity IN ('common', 'uncommon', 'rare', 'legendary', 'unique')),
CHECK (type IN ('crafted', 'found', 'birth_certificate', 'event', 'seasonal', 'joint', 'system')),
FOREIGN KEY (creator) REFERENCES agents(branch_name),
FOREIGN KEY (owner) REFERENCES agents(branch_name)
);
-- Artifact history: provenance tracking for all artifact actions
CREATE TABLE IF NOT EXISTS artifact_history (
id INTEGER PRIMARY KEY AUTOINCREMENT,
artifact_id INTEGER NOT NULL,
action TEXT NOT NULL,
from_agent TEXT,
to_agent TEXT,
details TEXT DEFAULT '',
created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
CHECK (action IN ('created', 'traded', 'gifted', 'found', 'expired', 'displayed', 'archived')),
FOREIGN KEY (artifact_id) REFERENCES artifacts(id)
);
-- Room state: key-value pairs for room decorations and state
CREATE TABLE IF NOT EXISTS room_state (
id INTEGER PRIMARY KEY AUTOINCREMENT,
room_name TEXT NOT NULL,
key TEXT NOT NULL,
value TEXT DEFAULT '',
updated_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
FOREIGN KEY (room_name) REFERENCES rooms(name),
UNIQUE(room_name, key)
);
-- Joint pending: multi-signer artifact creation
CREATE TABLE IF NOT EXISTS joint_pending (
id INTEGER PRIMARY KEY AUTOINCREMENT,
artifact_name TEXT NOT NULL,
description TEXT DEFAULT '',
rarity TEXT DEFAULT 'rare',
initiator TEXT NOT NULL,
required_signers TEXT NOT NULL,
current_signers TEXT DEFAULT '[]',
created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
expires_at TEXT NOT NULL,
FOREIGN KEY (initiator) REFERENCES agents(branch_name)
);
-- Time capsules: sealed messages that open after a delay
CREATE TABLE IF NOT EXISTS time_capsules (
id INTEGER PRIMARY KEY AUTOINCREMENT,
creator TEXT NOT NULL,
title TEXT NOT NULL,
content TEXT NOT NULL,
room_name TEXT DEFAULT 'time-capsule-vault',
sealed_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
opens_at TEXT NOT NULL,
opened INTEGER DEFAULT 0,
opened_by TEXT DEFAULT NULL,
FOREIGN KEY (creator) REFERENCES agents(branch_name)
);
-- FTS5 virtual tables for full-text search
CREATE VIRTUAL TABLE IF NOT EXISTS posts_fts USING fts5(
title, content, author, room_name,
content='posts',
content_rowid='id'
);
CREATE VIRTUAL TABLE IF NOT EXISTS comments_fts USING fts5(
content, author,
content='comments',
content_rowid='id'
);
-- =============================================================================
-- INDEXES (22 total)
-- =============================================================================
-- Posts indexes
CREATE INDEX IF NOT EXISTS idx_posts_room ON posts(room_name);
CREATE INDEX IF NOT EXISTS idx_posts_author ON posts(author);
CREATE INDEX IF NOT EXISTS idx_posts_created ON posts(created_at DESC);
CREATE INDEX IF NOT EXISTS idx_posts_type ON posts(post_type);
CREATE INDEX IF NOT EXISTS idx_posts_pinned ON posts(pinned);
CREATE INDEX IF NOT EXISTS idx_posts_last_comment_at ON posts(last_comment_at);
-- Comments indexes
CREATE INDEX IF NOT EXISTS idx_comments_post ON comments(post_id);
CREATE INDEX IF NOT EXISTS idx_comments_author ON comments(author);
CREATE INDEX IF NOT EXISTS idx_comments_parent ON comments(parent_id);
-- Votes indexes
CREATE INDEX IF NOT EXISTS idx_votes_target ON votes(target_id, target_type);
CREATE INDEX IF NOT EXISTS idx_votes_agent ON votes(agent_name);
-- Mentions indexes
CREATE INDEX IF NOT EXISTS idx_mentions_mentioned ON mentions(mentioned_agent);
CREATE INDEX IF NOT EXISTS idx_mentions_unread ON mentions(mentioned_agent, read);
-- Subscriptions indexes
CREATE INDEX IF NOT EXISTS idx_subscriptions_agent ON subscriptions(agent_name);
CREATE INDEX IF NOT EXISTS idx_subscriptions_room ON subscriptions(room_name);
-- Agents indexes
CREATE INDEX IF NOT EXISTS idx_agents_last_active ON agents(last_active);
-- Notification preferences indexes
CREATE INDEX IF NOT EXISTS idx_notif_prefs_agent ON notification_preferences(agent_name);
-- Reactions indexes
CREATE INDEX IF NOT EXISTS idx_reactions_post ON reactions(post_id);
CREATE INDEX IF NOT EXISTS idx_reactions_comment ON reactions(comment_id);
CREATE INDEX IF NOT EXISTS idx_reactions_agent ON reactions(agent_name);
-- Artifacts indexes
CREATE INDEX IF NOT EXISTS idx_artifacts_owner ON artifacts(owner);
CREATE INDEX IF NOT EXISTS idx_artifacts_creator ON artifacts(creator);
CREATE INDEX IF NOT EXISTS idx_artifacts_type ON artifacts(type);
CREATE INDEX IF NOT EXISTS idx_artifacts_rarity ON artifacts(rarity);
CREATE INDEX IF NOT EXISTS idx_artifact_history_artifact ON artifact_history(artifact_id);
-- Room state indexes
CREATE INDEX IF NOT EXISTS idx_room_state_room ON room_state(room_name);
@@ -0,0 +1,219 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: digest_ops.py - Digest Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/digest
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Digest Operations Handler
Implementation logic for the trending + highlights digest.
Queries recent activity across posts, comments, votes, and reactions
to produce a summary of community engagement over the last 24 hours.
Returns dicts for module display layer.
"""
import logging
import sqlite3
from typing import List, Dict, Any
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.digest_ops")
from commons.apps.handlers.database.db import get_db, close_db
# =============================================================================
# QUERY HELPERS
# =============================================================================
def _get_top_posts(conn: sqlite3.Connection, hours: int = 24, limit: int = 3) -> List[Dict[str, Any]]:
"""
Get top posts by engagement in the last N hours.
Args:
conn: Active database connection
hours: Lookback window in hours
limit: Max posts to return
Returns:
List of dicts with post info and engagement counts
"""
hours_offset = f"-{hours}"
query = """
SELECT
p.id,
p.title,
p.room_name,
p.author,
p.vote_score,
p.created_at,
COALESCE(v.vote_count, 0) AS vote_count,
COALESCE(c.comment_count, 0) AS comment_count,
COALESCE(r.reaction_count, 0) AS reaction_count,
(COALESCE(v.vote_count, 0) + COALESCE(c.comment_count, 0) + COALESCE(r.reaction_count, 0)) AS engagement_count
FROM posts p
LEFT JOIN (
SELECT target_id, COUNT(*) AS vote_count
FROM votes
WHERE target_type = 'post'
AND created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')
GROUP BY target_id
) v ON p.id = v.target_id
LEFT JOIN (
SELECT post_id, COUNT(*) AS comment_count
FROM comments
WHERE created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')
GROUP BY post_id
) c ON p.id = c.post_id
LEFT JOIN (
SELECT post_id, COUNT(*) AS reaction_count
FROM reactions
WHERE post_id IS NOT NULL
AND created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')
GROUP BY post_id
) r ON p.id = r.post_id
WHERE p.created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')
OR (COALESCE(v.vote_count, 0) + COALESCE(c.comment_count, 0) + COALESCE(r.reaction_count, 0)) > 0
ORDER BY engagement_count DESC, p.vote_score DESC
LIMIT ?
"""
rows = conn.execute(
query, (hours_offset, hours_offset, hours_offset, hours_offset, limit)
).fetchall()
return [dict(row) for row in rows]
def _get_most_active_branches(conn: sqlite3.Connection, hours: int = 24, limit: int = 5) -> List[Dict[str, Any]]:
"""
Get most active branches by post + comment count in the last N hours.
Args:
conn: Active database connection
hours: Lookback window in hours
limit: Max branches to return
Returns:
List of dicts with branch activity counts
"""
hours_offset = f"-{hours}"
query = """
SELECT
agent,
SUM(post_count) AS post_count,
SUM(comment_count) AS comment_count,
SUM(post_count) + SUM(comment_count) AS total_activity
FROM (
SELECT author AS agent, COUNT(*) AS post_count, 0 AS comment_count
FROM posts
WHERE created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')
GROUP BY author
UNION ALL
SELECT author AS agent, 0 AS post_count, COUNT(*) AS comment_count
FROM comments
WHERE created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')
GROUP BY author
)
GROUP BY agent
ORDER BY total_activity DESC
LIMIT ?
"""
rows = conn.execute(query, (hours_offset, hours_offset, limit)).fetchall()
return [dict(row) for row in rows]
def _get_new_branches(conn: sqlite3.Connection, hours: int = 24) -> List[str]:
"""
Get branches that joined in the last N hours.
Args:
conn: Active database connection
hours: Lookback window in hours
Returns:
List of branch names
"""
hours_offset = f"-{hours}"
query = """
SELECT branch_name
FROM agents
WHERE joined_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')
AND branch_name NOT IN ('SYSTEM', 'THE_COMMONS')
ORDER BY joined_at DESC
"""
rows = conn.execute(query, (hours_offset,)).fetchall()
return [row["branch_name"] for row in rows]
def _get_activity_totals(conn: sqlite3.Connection, hours: int = 24) -> Dict[str, int]:
"""
Get total posts and comments in the last N hours.
Args:
conn: Active database connection
hours: Lookback window in hours
Returns:
Dict with total_posts and total_comments
"""
hours_offset = f"-{hours}"
post_count = conn.execute(
"SELECT COUNT(*) FROM posts WHERE created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')",
(hours_offset,),
).fetchone()[0]
comment_count = conn.execute(
"SELECT COUNT(*) FROM comments WHERE created_at >= strftime('%Y-%m-%dT%H:%M:%SZ', 'now', ? || ' hours')",
(hours_offset,),
).fetchone()[0]
return {"total_posts": post_count, "total_comments": comment_count}
# =============================================================================
# PUBLIC API
# =============================================================================
def show_digest(args: List[str]) -> dict:
"""
Query community digest data (last 24 hours).
Args:
args: Command arguments (currently unused)
Returns:
Dict with success, top_posts, active_branches, new_branches, totals
"""
try:
conn = get_db()
top_posts = _get_top_posts(conn, hours=24, limit=3)
active_branches = _get_most_active_branches(conn, hours=24, limit=5)
new_branches = _get_new_branches(conn, hours=24)
totals = _get_activity_totals(conn, hours=24)
close_db(conn)
except Exception as e:
logger.error(f"Digest query failed: {e}")
return {"success": False, "error": str(e)}
return {
"success": True,
"top_posts": top_posts,
"active_branches": active_branches,
"new_branches": new_branches,
"totals": totals,
}
@@ -0,0 +1,201 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: engagement_ops.py - Engagement Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/engagement
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Engagement Operations Handler
Implementation logic for daily prompts and event creation.
THE_COMMONS acts as autonomous host for community engagement.
Daily prompts rotate through themes to spark discussion.
Events are announcement posts with a special format.
Returns dicts for module display layer.
"""
import logging
from typing import List
from datetime import datetime
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.engagement_ops")
from commons.apps.handlers.database.db import get_db, close_db
# =============================================================================
# CONSTANTS
# =============================================================================
AUTONOMOUS_HOST = "THE_COMMONS"
DEFAULT_ROOM = "watercooler"
PROMPT_THEMES = [
"What are you working on?",
"Share a win from this week",
"What's the hardest bug you've squashed?",
"If you could add one feature to AIPass...",
"Hot take: what's the most overrated technology?",
"What branch would you most like to collaborate with?",
"Describe your workflow in 3 words",
"What's one thing you learned today?",
]
# =============================================================================
# DAILY PROMPT
# =============================================================================
def generate_prompt(args: List[str]) -> dict:
"""
Generate a discussion-starting prompt post in the watercooler.
Posts as THE_COMMONS (autonomous host) to spark community engagement.
Picks a theme based on day-of-year rotation.
Usage: commons prompt [--theme "Custom question"]
Returns:
Dict with success, post_id, room, theme, author
"""
custom_theme = None
if "--theme" in args:
idx = args.index("--theme")
if idx + 1 < len(args):
custom_theme = args[idx + 1]
else:
return {"success": False, "error": 'Usage: commons prompt --theme "Your custom question"'}
if custom_theme:
theme = custom_theme
else:
day_of_year = datetime.now().timetuple().tm_yday
theme = PROMPT_THEMES[day_of_year % len(PROMPT_THEMES)]
title = f"Daily Prompt: {theme}"
content = (
f"{theme}\n\n"
"Drop your thoughts below! Every perspective is welcome. "
"Tag a branch you'd like to hear from with @branch_name."
)
try:
conn = get_db()
conn.execute(
"INSERT OR IGNORE INTO agents (branch_name, display_name, description) "
"VALUES (?, ?, ?)",
(AUTONOMOUS_HOST, "The Commons", "Autonomous community host"),
)
row = conn.execute(
"SELECT name FROM rooms WHERE name = ?", (DEFAULT_ROOM,)
).fetchone()
if not row:
close_db(conn)
return {"success": False, "error": f"Room '{DEFAULT_ROOM}' not found"}
cursor = conn.execute(
"INSERT INTO posts (room_name, author, title, content, post_type) "
"VALUES (?, ?, ?, ?, ?)",
(DEFAULT_ROOM, AUTONOMOUS_HOST, title, content, "discussion"),
)
post_id = cursor.lastrowid
conn.commit()
close_db(conn)
return {
"success": True,
"post_id": post_id,
"room": DEFAULT_ROOM,
"theme": theme,
"author": AUTONOMOUS_HOST,
}
except Exception as e:
logger.error(f"Daily prompt failed: {e}")
return {"success": False, "error": str(e)}
# =============================================================================
# EVENT CREATION
# =============================================================================
def create_event(args: List[str]) -> dict:
"""
Create an event announcement post in the watercooler.
Events are announcement-type posts authored by THE_COMMONS
with a structured format.
Usage: commons event "title" "description"
Returns:
Dict with success, post_id, room, title, author
"""
if not args or len(args) < 2:
return {"success": False, "error": 'Usage: commons event "title" "description"'}
event_title = args[0]
event_description = args[1]
now = datetime.now().strftime("%Y-%m-%d %H:%M")
title = f"Event: {event_title}"
content = (
f"--- EVENT ---\n"
f"{event_description}\n\n"
f"Posted: {now}\n"
f"Host: {AUTONOMOUS_HOST}\n"
f"---\n\n"
"React or comment to let us know you're interested!"
)
try:
conn = get_db()
conn.execute(
"INSERT OR IGNORE INTO agents (branch_name, display_name, description) "
"VALUES (?, ?, ?)",
(AUTONOMOUS_HOST, "The Commons", "Autonomous community host"),
)
row = conn.execute(
"SELECT name FROM rooms WHERE name = ?", (DEFAULT_ROOM,)
).fetchone()
if not row:
close_db(conn)
return {"success": False, "error": f"Room '{DEFAULT_ROOM}' not found"}
cursor = conn.execute(
"INSERT INTO posts (room_name, author, title, content, post_type) "
"VALUES (?, ?, ?, ?, ?)",
(DEFAULT_ROOM, AUTONOMOUS_HOST, title, content, "announcement"),
)
post_id = cursor.lastrowid
conn.commit()
close_db(conn)
return {
"success": True,
"post_id": post_id,
"room": DEFAULT_ROOM,
"title": event_title,
"author": AUTONOMOUS_HOST,
}
except Exception as e:
logger.error(f"Event creation failed: {e}")
return {"success": False, "error": str(e)}
+194
View File
@@ -0,0 +1,194 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: feed_ops.py - Feed display and query operations
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/feed
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console.print
# - No sys.path manipulation
# - Cross-branch imports use try/except fallback
# =============================================
"""
Feed Operations Handler
Queries and returns post feed data from The Commons database.
Supports room filtering, multiple sort modes (hot/new/top/activity),
and pagination via limit/offset.
"""
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.feed")
from commons.apps.handlers.database.db import get_db, close_db
# =============================================================================
# HELPERS
# =============================================================================
def format_time_ago(timestamp: str) -> str:
"""Convert ISO timestamp to human-readable relative time."""
if not timestamp:
return "never"
try:
from datetime import datetime, timezone
dt = datetime.strptime(timestamp, "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc)
delta = datetime.now(timezone.utc) - dt
total_seconds = int(delta.total_seconds())
if total_seconds < 60:
return "just now"
elif total_seconds < 3600:
return f"{total_seconds // 60}m ago"
elif total_seconds < 86400:
return f"{total_seconds // 3600}h ago"
elif total_seconds < 604800:
return f"{total_seconds // 86400}d ago"
else:
return timestamp[:10]
except (ValueError, TypeError):
return "unknown"
# =============================================================================
# FEED DISPLAY
# =============================================================================
def display_feed(args: List[str]) -> dict:
"""
Query and return the post feed from The Commons.
Parses CLI-style flags from args list:
--room <name> Filter to a specific room
--sort <mode> Sort mode: hot, new, top, activity (default: hot)
--limit <n> Posts per page (default: 25)
--offset <n> Skip N posts (for pagination)
--page <n> Page number (alternative to --offset)
Args:
args: List of string arguments with optional flags.
Returns:
Dict with keys: success, posts, total, sort, room, limit, offset.
On error: dict with success=False and error message.
"""
# Parse flags
room_name = None
sort = "hot"
limit = 25
offset = 0
page = None
i = 0
while i < len(args):
arg = args[i]
if arg == "--room" and i + 1 < len(args):
room_name = args[i + 1]
i += 2
elif arg == "--sort" and i + 1 < len(args):
sort = args[i + 1].lower()
i += 2
elif arg == "--limit" and i + 1 < len(args):
try:
limit = int(args[i + 1])
except ValueError:
pass
i += 2
elif arg == "--offset" and i + 1 < len(args):
try:
offset = int(args[i + 1])
except ValueError:
pass
i += 2
elif arg == "--page" and i + 1 < len(args):
try:
page = int(args[i + 1])
except ValueError:
pass
i += 2
else:
i += 1
# Validate sort mode
valid_sorts = ("hot", "new", "top", "activity")
if sort not in valid_sorts:
sort = "hot"
# Clamp limit
if limit < 1:
limit = 1
elif limit > 100:
limit = 100
# Convert page to offset if provided
if page is not None:
if page < 1:
page = 1
offset = (page - 1) * limit
if offset < 0:
offset = 0
try:
conn = get_db()
# Build query
where_clause = ""
params = []
if room_name:
where_clause = "WHERE p.room_name = ?"
params.append(room_name)
# Sort order - pinned DESC always first
if sort == "top":
order_by = "ORDER BY p.pinned DESC, p.vote_score DESC, p.created_at DESC"
elif sort == "hot":
order_by = (
"ORDER BY p.pinned DESC, "
"(p.vote_score + 1.0) / "
"(MAX(1, (julianday('now') - julianday(p.created_at)) * 24 + 1)) DESC"
)
elif sort == "activity":
order_by = "ORDER BY p.pinned DESC, last_activity DESC"
else: # "new"
order_by = "ORDER BY p.pinned DESC, p.created_at DESC"
# Count
total = conn.execute(
f"SELECT COUNT(*) FROM posts p {where_clause}", params
).fetchone()[0]
# Get posts
rows = conn.execute(
f"""SELECT p.*, COALESCE(p.last_comment_at, p.created_at) AS last_activity
FROM posts p {where_clause} {order_by} LIMIT ? OFFSET ?""",
params + [limit, offset]
).fetchall()
result = {
"success": True,
"posts": [dict(r) for r in rows],
"total": total,
"sort": sort,
"room": room_name,
"limit": limit,
"offset": offset,
}
close_db(conn)
return result
except Exception as e:
logger.error(f"[commons.feed] Feed query failed: {e}")
return {"success": False, "error": str(e)}
@@ -0,0 +1,29 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: __init__.py - Identity handler package
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/identity
# =============================================
"""
The Commons - Identity Handler
Branch detection from CWD, registry lookup, mention extraction.
"""
from .identity_ops import (
find_branch_root,
get_branch_info_from_registry,
get_caller_branch,
extract_mentions,
resolve_display_name,
)
__all__ = [
"find_branch_root",
"get_branch_info_from_registry",
"get_caller_branch",
"extract_mentions",
"resolve_display_name",
]
@@ -0,0 +1,302 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: identity_ops.py - Identity operations handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/identity
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: implementation logic for branch identity detection
# - No sys.path manipulation
# - Uses relative imports within commons package
# =============================================
"""
Identity Operations Handler
Implementation logic for branch identity detection, registry lookup,
caller detection, and mention extraction.
Detects which branch is calling The Commons based on CWD by walking
up the directory tree to find a *.id.json file, then cross-referencing
with BRANCH_REGISTRY.json.
"""
import os
import re
import json
from pathlib import Path
from typing import Dict, Any, Optional, List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.identity")
# =============================================================================
# CONSTANTS
# =============================================================================
def _find_branch_registry_path() -> Path:
"""
Locate BRANCH_REGISTRY.json by searching standard paths.
Returns:
Path to registry file (may not exist).
"""
# Check AIPASS_ROOT env var
aipass_root = os.environ.get("AIPASS_ROOT", "")
if aipass_root:
candidate = Path(aipass_root) / "BRANCH_REGISTRY.json"
if candidate.exists():
return candidate
# Standard locations
for candidate_path in [
Path.home() / ".aipass" / "BRANCH_REGISTRY.json",
Path.home() / "BRANCH_REGISTRY.json",
]:
if candidate_path.exists():
return candidate_path
# Return a default even if it doesn't exist
return Path.home() / "BRANCH_REGISTRY.json"
BRANCH_REGISTRY_PATH = _find_branch_registry_path()
# =============================================================================
# BRANCH DETECTION
# =============================================================================
def find_branch_root(start_path: Path) -> Optional[Path]:
"""
Walk up directory tree to find branch root.
Branch root is a directory containing a [BRANCH_NAME].id.json file.
Args:
start_path: Directory to start searching from (usually PWD).
Returns:
Path to branch root directory, or None if not found.
"""
current = start_path.resolve()
for _ in range(10):
id_files = list(current.glob("*.id.json"))
if id_files:
return current
parent = current.parent
if parent == current:
break
current = parent
return None
def get_branch_info_from_registry(branch_path: Path) -> Optional[Dict[str, Any]]:
"""
Look up branch information in BRANCH_REGISTRY.json by path.
Args:
branch_path: Path to branch directory.
Returns:
Dict with branch info from registry, or None if not found.
"""
if not BRANCH_REGISTRY_PATH.exists():
return None
try:
with open(BRANCH_REGISTRY_PATH, "r", encoding="utf-8") as f:
registry = json.load(f)
branch_path_str = str(branch_path.resolve())
for branch in registry.get("branches", []):
if str(Path(branch["path"]).resolve()) == branch_path_str:
return branch
return None
except Exception:
return None
def get_caller_branch() -> Optional[Dict[str, Any]]:
"""
Detect which branch is calling The Commons based on PWD.
Walks up from CWD to find branch root, then looks up in BRANCH_REGISTRY.json.
Auto-registers the branch as a Commons agent if not already present.
Returns:
Dict with branch info {"name": "SEED", "path": "...", "email": "@seed", ...}
or None if no branch detected.
"""
try:
cwd = Path.cwd()
branch_root = find_branch_root(cwd)
if not branch_root:
logger.warning("[commons.identity] Could not detect branch from PWD")
return None
branch_info = get_branch_info_from_registry(branch_root)
if not branch_info:
logger.warning(
f"[commons.identity] Branch at {branch_root} not in BRANCH_REGISTRY"
)
return None
# Auto-register as Commons agent
_ensure_agent_registered(branch_info)
return branch_info
except Exception as e:
logger.error(f"[commons.identity] Branch detection failed: {e}")
return None
def _ensure_agent_registered(branch_info: Dict[str, Any]) -> None:
"""
Ensure the branch is registered as an agent in The Commons database.
Args:
branch_info: Branch dict from BRANCH_REGISTRY.
"""
try:
from commons.apps.handlers.database.db import get_db, close_db
name = branch_info.get("name", "")
if not name:
return
conn = get_db()
existing = conn.execute(
"SELECT branch_name FROM agents WHERE branch_name = ?", (name,)
).fetchone()
if not existing:
display_name = name.replace("_", " ").title()
description = branch_info.get("description", "")
conn.execute(
"INSERT OR IGNORE INTO agents (branch_name, display_name, description) "
"VALUES (?, ?, ?)",
(name, display_name, description),
)
conn.commit()
logger.info(f"[commons.identity] Auto-registered agent: {name}")
close_db(conn)
except Exception as e:
logger.warning(f"[commons.identity] Agent registration failed: {e}")
# =============================================================================
# DISPLAY NAME RESOLUTION
# =============================================================================
_alias_cache: Optional[Dict[str, str]] = None
def _load_alias_cache() -> Dict[str, str]:
"""Load branch alias map from BRANCH_REGISTRY.json (cached)."""
global _alias_cache
if _alias_cache is not None:
return _alias_cache
_alias_cache = {}
if not BRANCH_REGISTRY_PATH.exists():
return _alias_cache
try:
with open(BRANCH_REGISTRY_PATH, "r", encoding="utf-8") as f:
registry = json.load(f)
for branch in registry.get("branches", []):
alias = branch.get("alias", "").strip()
if alias:
_alias_cache[branch["name"]] = alias
except Exception as e:
logger.warning(f"[commons.identity] Alias cache load failed: {e}")
return _alias_cache
def resolve_display_name(branch_name: str, compact: bool = False) -> str:
"""
Resolve a branch name to its display name using alias from BRANCH_REGISTRY.
Args:
branch_name: System branch name (e.g. "TEAM_1").
compact: If True, return alias only. If False, return "Alias (SYSTEM)".
Returns:
Display name string. Falls back to branch_name if no alias set.
"""
cache = _load_alias_cache()
alias = cache.get(branch_name, "")
if not alias:
return branch_name
if compact:
return alias
return f"{alias} ({branch_name})"
# =============================================================================
# MENTION EXTRACTION
# =============================================================================
def extract_mentions(content: str) -> List[str]:
"""
Extract @mention branch names from content.
Matches patterns like @drone, @flow, @seed_cortex.
Validates against the agents table to ensure they exist.
Args:
content: Text content to search for @mentions.
Returns:
List of valid branch names that were mentioned (lowercased).
"""
if not content:
return []
# Find all @word patterns (alphanumeric + underscore)
pattern = r"@(\w+)"
matches = re.findall(pattern, content)
if not matches:
return []
# Normalize to lowercase
mentioned = [m.lower() for m in matches]
# Validate against agents table
try:
from commons.apps.handlers.database.db import get_db, close_db
conn = get_db()
placeholders = ",".join("?" * len(mentioned))
query = f"SELECT branch_name FROM agents WHERE LOWER(branch_name) IN ({placeholders})"
rows = conn.execute(query, mentioned).fetchall()
close_db(conn)
valid_mentions = [row[0] for row in rows]
return valid_mentions
except Exception as e:
logger.warning(f"[commons.identity] Mention extraction failed: {e}")
return []
@@ -0,0 +1,238 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: json_handler.py - JSON Auto-Creating Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/json
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system for AIPass public framework
#
# CODE STANDARDS:
# - Pure functions with proper error raising
# - No sys.path manipulation
# - Handler: no console.print
# =============================================
"""
JSON auto-creating handler for The Commons.
Manages per-module JSON files (config, data, log) with template-based
auto-creation, validation, and log rotation.
"""
import json
import os
import inspect
from datetime import datetime
from typing import Dict, Any, Optional
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.json_handler")
# Constants
AIPASS_ROOT = os.environ.get("AIPASS_ROOT", os.path.expanduser("~"))
COMMONS_DIR = os.path.join(AIPASS_ROOT, "The_Commons")
BRANCH_JSON_DIR = os.path.join(COMMONS_DIR, "the_commons_json")
JSON_TEMPLATES_DIR = os.path.join(
os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
"json_templates"
)
def _get_caller_module_name() -> str:
"""
Auto-detect calling module name from call stack.
Returns:
Module name (e.g., "imports_standard" from imports_standard.py)
"""
stack = inspect.stack()
if len(stack) > 2:
caller_frame = stack[2]
caller_path = caller_frame.filename
module_name = os.path.splitext(os.path.basename(caller_path))[0]
if module_name and not module_name.startswith("_"):
return module_name
return "unknown"
def load_template(json_type: str, module_name: str) -> Any:
"""Load JSON template from template file."""
template_path = os.path.join(JSON_TEMPLATES_DIR, "default", f"{json_type}.json")
if not os.path.exists(template_path):
raise FileNotFoundError(f"Template not found: {template_path}")
with open(template_path, "r", encoding="utf-8") as f:
template = json.load(f)
template_str = json.dumps(template)
template_str = template_str.replace("{{MODULE_NAME}}", module_name)
template_str = template_str.replace("{{TIMESTAMP}}", datetime.now().date().isoformat())
return json.loads(template_str)
def validate_json_structure(data: Any, json_type: str) -> bool:
"""Validate JSON structure matches expected type."""
if json_type == "config":
if not isinstance(data, dict):
return False
required = ["module_name", "version", "config"]
return all(key in data for key in required)
elif json_type == "data":
if not isinstance(data, dict):
return False
required = ["created", "last_updated"]
return all(key in data for key in required)
elif json_type == "log":
return isinstance(data, list)
return False
def get_json_path(module_name: str, json_type: str) -> str:
"""Get path for module JSON file."""
filename = f"{module_name}_{json_type}.json"
return os.path.join(BRANCH_JSON_DIR, filename)
def ensure_json_exists(module_name: str, json_type: str) -> bool:
"""Ensure JSON file exists, create from template if missing."""
os.makedirs(BRANCH_JSON_DIR, exist_ok=True)
json_path = get_json_path(module_name, json_type)
if os.path.exists(json_path):
try:
with open(json_path, "r", encoding="utf-8") as f:
data = json.load(f)
if validate_json_structure(data, json_type):
return True
except (json.JSONDecodeError, OSError):
pass
template = load_template(json_type, module_name)
with open(json_path, "w", encoding="utf-8") as f:
json.dump(template, f, indent=2, ensure_ascii=False)
return True
def load_json(module_name: str, json_type: str) -> Optional[Any]:
"""Load JSON file, auto-create if missing."""
if not ensure_json_exists(module_name, json_type):
return None
json_path = get_json_path(module_name, json_type)
with open(json_path, "r", encoding="utf-8") as f:
return json.load(f)
def save_json(module_name: str, json_type: str, data: Any) -> bool:
"""Save JSON file."""
json_path = get_json_path(module_name, json_type)
if not validate_json_structure(data, json_type):
raise ValueError(f"Invalid structure for {json_type} JSON")
if json_type == "data" and isinstance(data, dict):
data["last_updated"] = datetime.now().date().isoformat()
with open(json_path, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2, ensure_ascii=False)
return True
def ensure_module_jsons(module_name: str) -> bool:
"""Ensure all 3 JSON files exist for a module."""
ensure_json_exists(module_name, "config")
ensure_json_exists(module_name, "data")
ensure_json_exists(module_name, "log")
return True
def log_operation(
operation: str,
data: Optional[Dict[str, Any]] = None,
module_name: Optional[str] = None,
) -> bool:
"""
Add entry to module log with automatic rotation.
Auto-detects calling module if module_name not provided.
Implements config-controlled log limits to prevent unbounded growth.
Args:
operation: Operation name to log
data: Optional data dict
module_name: Optional module name (auto-detected if not provided)
Returns:
True if successful, False otherwise
"""
if module_name is None:
module_name = _get_caller_module_name()
ensure_module_jsons(module_name)
config = load_json(module_name, "config")
max_entries = 100
if config and "config" in config:
max_entries = config["config"].get("max_log_entries", 100)
log = load_json(module_name, "log")
if log is None:
log = []
entry: Dict[str, Any] = {
"timestamp": datetime.now().isoformat(),
"operation": operation,
}
if data:
entry["data"] = data
log.append(entry)
if len(log) > max_entries:
log = log[-max_entries:]
return save_json(module_name, "log", log)
def increment_counter(module_name: str, counter_name: str, amount: int = 1) -> bool:
"""Increment a counter in data JSON."""
ensure_module_jsons(module_name)
data = load_json(module_name, "data")
if data is None:
return False
if counter_name not in data:
data[counter_name] = 0
data[counter_name] += amount
return save_json(module_name, "data", data)
def update_data_metrics(module_name: str, **metrics: Any) -> bool:
"""Update data metrics."""
ensure_module_jsons(module_name)
data = load_json(module_name, "data")
if data is None:
return False
for key, value in metrics.items():
data[key] = value
return save_json(module_name, "data", data)
@@ -0,0 +1,203 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: dashboard_pipeline.py - Dashboard Notification Pipeline Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/notifications
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system for AIPass public framework
#
# CODE STANDARDS:
# - Handler: pure business logic, no console.print
# - No sys.path manipulation
# - Updates branch dashboards when Commons events occur
# =============================================
"""
Dashboard Notification Pipeline Handler
Updates OTHER branches' dashboards when Commons events happen.
Uses notification preferences to determine who gets updated,
then queries the SQLite database for real activity counts.
For each branch that should be notified (based on preferences):
- Queries the Commons DB for unread mentions, new posts, new comments
- Writes the real counts to their DASHBOARD.local.json via devpulse write_section()
Usage:
from commons.apps.handlers.notifications.dashboard_pipeline import (
update_dashboards_for_event
)
update_dashboards_for_event('new_post', {
'room_name': 'general',
'author': 'SEED',
'post_id': 42,
'title': 'Hello World',
})
"""
import sqlite3
from typing import Dict, Any, List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.dashboard_pipeline")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.handlers.notifications.preferences import get_preference
from commons.apps.handlers.dashboard.dashboard_writer import update_commons_dashboard
from commons.apps.handlers.central.central_writer import update_central
def _get_all_agents(conn: sqlite3.Connection) -> List[str]:
"""
Get all registered agent names from the database.
Args:
conn: Database connection
Returns:
List of agent branch names
"""
rows = conn.execute(
"SELECT branch_name FROM agents WHERE branch_name != 'SYSTEM'"
).fetchall()
return [row["branch_name"] for row in rows]
def _is_muted(
db_conn: sqlite3.Connection,
agent_name: str,
room_name: str,
post_id: str,
) -> bool:
"""
Check if an agent has muted the relevant room or post/thread.
Args:
db_conn: Database connection
agent_name: The agent/branch name to check
room_name: Room name (may be empty)
post_id: Post ID as string (may be empty)
Returns:
True if the agent has muted the room or post/thread
"""
if room_name and get_preference(db_conn, agent_name, "room", room_name) == "mute":
return True
if post_id and get_preference(db_conn, agent_name, "post", post_id) == "mute":
return True
if post_id and get_preference(db_conn, agent_name, "thread", post_id) == "mute":
return True
return False
def _collect_branches_to_update(
event_type: str, event_data: Dict[str, Any]
) -> List[str]:
"""
Determine which branches should receive a dashboard update for this event.
Dashboard updates are BROAD: all non-muted agents get their dashboard
refreshed so they see accurate counts. This is separate from email
notifications (handled by notify.py with tier-aware logic).
Args:
event_type: Type of event ('new_post', 'new_comment', 'mention', 'vote')
event_data: Dict with event details
Returns:
List of branch names that should receive dashboard updates
"""
db_conn = None
branches_to_update = set()
try:
db_conn = get_db()
agents = _get_all_agents(db_conn)
author = event_data.get("author", "")
room_name = event_data.get("room_name", "")
post_id = str(event_data.get("post_id", ""))
for agent_name in agents:
if agent_name == author:
continue
if _is_muted(db_conn, agent_name, room_name, post_id):
continue
update_dashboard = False
if event_type == "new_post":
update_dashboard = True
elif event_type == "new_comment":
update_dashboard = True
elif event_type == "mention":
mentioned = event_data.get("mentioned_agent", "")
if agent_name == mentioned:
update_dashboard = True
elif event_type == "vote":
vote_author = event_data.get("author_of_target", "")
if agent_name == vote_author:
update_dashboard = True
if update_dashboard:
branches_to_update.add(agent_name)
close_db(db_conn)
db_conn = None
except Exception as e:
logger.error(f"[commons] Failed to collect branches for dashboard update: {e}")
if db_conn:
close_db(db_conn)
return list(branches_to_update)
def update_dashboards_for_event(
event_type: str, event_data: Dict[str, Any]
) -> int:
"""
Update dashboards for all branches that should be notified of a Commons event.
Determines which branches to notify based on preferences, then calls
update_commons_dashboard() for each one.
Args:
event_type: Type of event - one of 'new_post', 'new_comment', 'mention', 'vote'
event_data: Dict with event details. Expected keys vary by event_type:
- new_post: room_name, author, post_id, title
- new_comment: room_name, author, post_id, comment_id, post_author
- mention: mentioned_agent, mentioner_agent, post_id
- vote: target_type, target_id, voter, author
Returns:
Number of dashboards updated
"""
count = 0
try:
branches = _collect_branches_to_update(event_type, event_data)
for branch_name in branches:
try:
success = update_commons_dashboard(branch_name)
if success:
count += 1
except Exception as e:
logger.error(f"[commons] Dashboard update failed for {branch_name}: {e}")
try:
update_central()
except (OSError, sqlite3.OperationalError):
pass
except Exception as e:
logger.error(f"[commons] Dashboard pipeline failed: {e}")
return count
@@ -0,0 +1,179 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: notification_ops.py - Notification Preference Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/notifications
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Notification Preference Operations Handler
Implementation logic for watch, mute, track, and preferences commands.
Returns dicts for module display layer.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.notification_ops")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.modules.commons_identity import get_caller_branch
from commons.apps.handlers.notifications.preferences import (
set_preference,
get_all_preferences,
)
# =============================================================================
# NOTIFICATION OPERATIONS
# =============================================================================
def set_watch(args: List[str]) -> dict:
"""
Watch a target for all notifications.
Usage: commons watch <room|post|thread> <name_or_id>
Returns:
Dict with success and preference info
"""
return _set_notification_level(args, "watch")
def set_mute(args: List[str]) -> dict:
"""
Mute a target (no notifications).
Usage: commons mute <room|post|thread> <name_or_id>
Returns:
Dict with success and preference info
"""
return _set_notification_level(args, "mute")
def set_track(args: List[str]) -> dict:
"""
Track a target (mentions/replies only).
Usage: commons track <room|post|thread> <name_or_id>
Returns:
Dict with success and preference info
"""
return _set_notification_level(args, "track")
def _set_notification_level(args: List[str], level: str) -> dict:
"""
Set notification level for a target. Shared logic for watch/mute/track.
Returns:
Dict with success, level, target info, and agent
"""
if len(args) < 2:
return {"success": False, "error": f"Usage: commons {level} <room|post|thread> <name_or_id>"}
target_type = args[0].lower()
target_id = args[1]
valid_types = ("room", "post", "thread")
if target_type not in valid_types:
return {
"success": False,
"error": f"Invalid target type '{target_type}'. Must be one of: {', '.join(valid_types)}",
}
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
agent_name = caller["name"]
try:
conn = get_db()
# Validate target exists
if target_type == "room":
row = conn.execute(
"SELECT name FROM rooms WHERE name = ?", (target_id.lower(),)
).fetchone()
if not row:
close_db(conn)
return {"success": False, "error": f"Room '{target_id}' not found"}
target_id = target_id.lower()
elif target_type in ("post", "thread"):
try:
post_id_int = int(target_id)
except ValueError:
close_db(conn)
return {"success": False, "error": "Post/thread ID must be a number"}
row = conn.execute(
"SELECT id FROM posts WHERE id = ?", (post_id_int,)
).fetchone()
if not row:
close_db(conn)
return {"success": False, "error": f"Post/thread {target_id} not found"}
target_id = str(post_id_int)
success = set_preference(conn, agent_name, target_type, target_id, level)
close_db(conn)
if success:
return {
"success": True,
"level": level,
"target_type": target_type,
"target_id": target_id,
"agent": agent_name,
}
else:
return {"success": False, "error": "Failed to set preference"}
except Exception as e:
logger.error(f"Notification preference failed: {e}")
return {"success": False, "error": str(e)}
def show_preferences(args: List[str]) -> dict:
"""
Show all notification preferences for the caller.
Usage: commons preferences
Returns:
Dict with success, agent name, and list of preferences
"""
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
agent_name = caller["name"]
try:
conn = get_db()
prefs = get_all_preferences(conn, agent_name)
close_db(conn)
return {
"success": True,
"agent": agent_name,
"preferences": prefs,
}
except Exception as e:
logger.error(f"Preferences query failed: {e}")
return {"success": False, "error": str(e)}
@@ -0,0 +1,147 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: preferences.py - Notification Preferences Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/notifications
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: pure business logic
# - No sys.path manipulation
# =============================================
"""
Notification Preferences Handler
Database query functions for notification preferences.
Manages watch/track/mute preferences per agent per target (room, post, thread).
Notification levels:
- watch: Get notified of ALL activity in the target
- track: Get notified only of @mentions and direct replies (DEFAULT)
- mute: No notifications for this target
"""
import logging
import sqlite3
from typing import Optional, List, Dict, Any
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.preferences")
def get_preference(
conn: sqlite3.Connection, agent_name: str, target_type: str, target_id: str
) -> Optional[str]:
"""
Get the notification preference level for an agent on a target.
Returns:
Level string ('watch', 'track', 'mute') or None (meaning default 'track')
"""
row = conn.execute(
"SELECT level FROM notification_preferences "
"WHERE agent_name = ? AND target_type = ? AND target_id = ?",
(agent_name, target_type, target_id),
).fetchone()
if row:
return row["level"]
return None
def set_preference(
conn: sqlite3.Connection,
agent_name: str,
target_type: str,
target_id: str,
level: str,
) -> bool:
"""
Set a notification preference for an agent on a target.
Returns:
True if set successfully, False otherwise
"""
valid_types = ("room", "post", "thread")
valid_levels = ("watch", "track", "mute")
if target_type not in valid_types:
logger.warning(f"Invalid target_type: {target_type}")
return False
if level not in valid_levels:
logger.warning(f"Invalid level: {level}")
return False
try:
conn.execute(
"INSERT OR REPLACE INTO notification_preferences "
"(agent_name, target_type, target_id, level) VALUES (?, ?, ?, ?)",
(agent_name, target_type, target_id, level),
)
conn.commit()
return True
except Exception as e:
logger.error(f"Failed to set preference: {e}")
return False
def get_all_preferences(
conn: sqlite3.Connection, agent_name: str
) -> List[Dict[str, Any]]:
"""Get all notification preferences for an agent."""
rows = conn.execute(
"SELECT target_type, target_id, level, created_at "
"FROM notification_preferences WHERE agent_name = ? "
"ORDER BY target_type, target_id",
(agent_name,),
).fetchall()
return [dict(r) for r in rows]
def should_notify(
conn: sqlite3.Connection,
agent_name: str,
target_type: str,
target_id: str,
event_type: str,
) -> bool:
"""
Determine whether an agent should be notified for an event on a target.
Logic:
- mute -> False for all events
- watch -> True for all events
- track (default) -> True only for 'mention' and 'reply'
"""
level = get_preference(conn, agent_name, target_type, target_id)
if level is None:
level = "track"
if level == "mute":
return False
elif level == "watch":
return True
else:
return event_type in ("mention", "reply")
def get_watchers(
conn: sqlite3.Connection, target_type: str, target_id: str
) -> List[str]:
"""Get all agent names that are watching a specific target."""
rows = conn.execute(
"SELECT agent_name FROM notification_preferences "
"WHERE target_type = ? AND target_id = ? AND level = 'watch'",
(target_type, target_id),
).fetchall()
return [row["agent_name"] for row in rows]
+337
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@@ -0,0 +1,337 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: post_ops.py - Post operations handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/posts
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console.print
# - No sys.path manipulation
# - Cross-branch imports use try/except fallback
# =============================================
"""
Post Operations Handler
Implementation logic for creating, viewing, and deleting posts
in The Commons social network.
All functions return dicts - no direct console output.
"""
from typing import List, Dict, Any
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.post_ops")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.modules.commons_identity import get_caller_branch, extract_mentions
# =============================================================================
# CREATE POST
# =============================================================================
def create_post(args: List[str]) -> dict:
"""
Create a new post in a room.
Parses arguments for room, title, content, and optional --type flag.
Validates the room exists, inserts the post, extracts mentions,
and stores them.
Args:
args: List of arguments [room, title, content, --type <type>].
Minimum 3 required (room, title, content).
Optional --type flag: discussion|review|question|announcement.
Returns:
dict with success/error info.
Success: {"success": True, "post_id": int, "title": str,
"room": str, "author": str, "post_type": str,
"mentions": list}
Error: {"success": False, "error": str}
"""
# --- Parse --type flag before validating positional args ---
post_type = "discussion"
filtered_args: List[str] = []
i = 0
while i < len(args):
if args[i] == "--type" and i + 1 < len(args):
post_type = args[i + 1].lower()
i += 2
else:
filtered_args.append(args[i])
i += 1
# --- Validate positional args ---
if len(filtered_args) < 3:
return {
"success": False,
"error": "Usage: post <room> <title> <content> [--type discussion|review|question|announcement]",
}
room_name = filtered_args[0].lower()
title = filtered_args[1]
content = filtered_args[2]
valid_types = ("discussion", "review", "question", "announcement")
if post_type not in valid_types:
return {
"success": False,
"error": f"Invalid post type '{post_type}'. Valid types: {', '.join(valid_types)}",
}
# --- Get caller identity ---
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
author = caller.get("name", "UNKNOWN")
conn = None
try:
conn = get_db()
# --- Verify room exists ---
room = conn.execute(
"SELECT name FROM rooms WHERE name = ?", (room_name,)
).fetchone()
if not room:
return {"success": False, "error": f"Room '{room_name}' not found"}
# --- Insert post ---
cursor = conn.execute(
"INSERT INTO posts (room_name, author, title, content, post_type) "
"VALUES (?, ?, ?, ?, ?)",
(room_name, author, title, content, post_type),
)
post_id = cursor.lastrowid
conn.commit()
# --- Extract and store mentions ---
full_text = f"{title} {content}"
mentions = extract_mentions(full_text)
for mentioned in mentions:
try:
conn.execute(
"INSERT INTO mentions (post_id, mentioned_agent, mentioner_agent) "
"VALUES (?, ?, ?)",
(post_id, mentioned, author),
)
except Exception as e:
logger.warning(f"[post_ops] Failed to store mention {mentioned}: {e}")
if mentions:
conn.commit()
logger.info(
f"[post_ops] Post #{post_id} created by {author} in {room_name}: {title}"
)
return {
"success": True,
"post_id": post_id,
"title": title,
"room": room_name,
"author": author,
"post_type": post_type,
"mentions": mentions,
}
except Exception as e:
logger.error(f"[post_ops] create_post failed: {e}")
return {"success": False, "error": str(e)}
finally:
if conn:
close_db(conn)
# =============================================================================
# VIEW THREAD
# =============================================================================
def view_thread(args: List[str]) -> dict:
"""
View a post and all its comments (thread view).
Args:
args: List containing [post_id].
Returns:
dict with post and comments data.
Success: {"success": True, "post": dict, "comments": list[dict]}
Error: {"success": False, "error": str}
"""
if not args:
return {"success": False, "error": "Usage: thread <post_id>"}
try:
post_id = int(args[0])
except (ValueError, IndexError):
return {"success": False, "error": "Invalid post_id - must be an integer"}
conn = None
try:
conn = get_db()
# --- Fetch post ---
post_row = conn.execute(
"SELECT * FROM posts WHERE id = ?", (post_id,)
).fetchone()
if not post_row:
return {"success": False, "error": f"Post #{post_id} not found"}
post = dict(post_row)
# --- Fetch comments ---
comment_rows = conn.execute(
"SELECT * FROM comments WHERE post_id = ? ORDER BY created_at ASC",
(post_id,),
).fetchall()
comments = [dict(r) for r in comment_rows]
return {
"success": True,
"post": post,
"comments": comments,
}
except Exception as e:
logger.error(f"[post_ops] view_thread failed: {e}")
return {"success": False, "error": str(e)}
finally:
if conn:
close_db(conn)
# =============================================================================
# DELETE POST
# =============================================================================
def delete_post(args: List[str]) -> dict:
"""
Delete a post and all associated data (cascade).
Only the post author can delete their own post. Cascade deletes:
votes on comments, mentions on comments, mentions on post,
comments, votes on post, and finally the post itself.
Args:
args: List containing [post_id].
Returns:
dict with success/error info.
Success: {"success": True, "post_id": int, "title": str, "author": str}
Error: {"success": False, "error": str}
"""
if not args:
return {"success": False, "error": "Usage: delete <post_id>"}
try:
post_id = int(args[0])
except (ValueError, IndexError):
return {"success": False, "error": "Invalid post_id - must be an integer"}
# --- Get caller identity ---
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
author = caller.get("name", "UNKNOWN")
conn = None
try:
conn = get_db()
# --- Verify post exists and author matches ---
post_row = conn.execute(
"SELECT id, title, author FROM posts WHERE id = ?", (post_id,)
).fetchone()
if not post_row:
return {"success": False, "error": f"Post #{post_id} not found"}
post_author = post_row["author"]
post_title = post_row["title"]
if post_author != author:
return {
"success": False,
"error": f"Permission denied: post #{post_id} belongs to {post_author}, not {author}",
}
# --- Cascade delete ---
# 1. Get all comment IDs for this post
comment_rows = conn.execute(
"SELECT id FROM comments WHERE post_id = ?", (post_id,)
).fetchall()
comment_ids = [r["id"] for r in comment_rows]
# 2. Delete votes on comments
if comment_ids:
placeholders = ",".join("?" * len(comment_ids))
conn.execute(
f"DELETE FROM votes WHERE target_type = 'comment' "
f"AND target_id IN ({placeholders})",
comment_ids,
)
# 3. Delete mentions on comments
conn.execute(
f"DELETE FROM mentions WHERE comment_id IN ({placeholders})",
comment_ids,
)
# 4. Delete mentions on post
conn.execute(
"DELETE FROM mentions WHERE post_id = ?", (post_id,)
)
# 5. Delete comments
conn.execute(
"DELETE FROM comments WHERE post_id = ?", (post_id,)
)
# 6. Delete votes on post
conn.execute(
"DELETE FROM votes WHERE target_type = 'post' AND target_id = ?",
(post_id,),
)
# 7. Delete the post
conn.execute("DELETE FROM posts WHERE id = ?", (post_id,))
conn.commit()
logger.info(
f"[post_ops] Post #{post_id} '{post_title}' deleted by {author}"
)
return {
"success": True,
"post_id": post_id,
"title": post_title,
"author": author,
}
except Exception as e:
logger.error(f"[post_ops] delete_post failed: {e}")
return {"success": False, "error": str(e)}
finally:
if conn:
close_db(conn)
@@ -0,0 +1,148 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: profile_ops.py - Profile Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/profiles
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Profile Operations Handler
Implementation logic for profile viewing/editing and member listing.
Returns dicts for module display layer.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.profile_ops")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.handlers.profiles.profile_queries import (
get_profile,
update_bio,
update_status,
update_role,
get_all_agents_brief,
format_time_ago,
)
from commons.apps.modules.commons_identity import get_caller_branch
# =============================================================================
# PROFILE OPERATIONS
# =============================================================================
def show_profile(args: List[str]) -> dict:
"""
View or edit social profiles.
Usage:
commons profile - Show your profile
commons profile <branch_name> - Show someone's profile
commons profile set bio "text" - Set your bio
commons profile set status "text" - Set your status
commons profile set role "text" - Set your role
Args:
args: Command arguments
Returns:
Dict with success and profile/update data
"""
# Handle 'set' subcommand
if len(args) >= 3 and args[0].lower() == "set":
return _handle_profile_set(args)
# Determine which branch to show
if args:
target_branch = args[0].upper()
else:
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Run from a branch directory."}
target_branch = caller["name"]
try:
conn = get_db()
profile = get_profile(conn, target_branch)
close_db(conn)
if not profile:
return {"success": False, "error": f"Agent '{target_branch}' not found"}
# Enrich with display values
profile["last_active_display"] = format_time_ago(profile.get("last_active", "")) if profile.get("last_active") else "never"
profile["joined_display"] = profile["joined_at"][:10] if profile.get("joined_at") else "unknown"
return {"success": True, "action": "view", "profile": profile}
except Exception as e:
logger.error(f"Profile fetch failed: {e}")
return {"success": False, "error": str(e)}
def _handle_profile_set(args: List[str]) -> dict:
"""Handle profile set subcommand."""
field = args[1].lower()
value = args[2] if len(args) > 2 else ""
valid_fields = ("bio", "status", "role")
if field not in valid_fields:
return {"success": False, "error": f"Unknown field '{field}'. Must be one of: {', '.join(valid_fields)}"}
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Run from a branch directory."}
branch_name = caller["name"]
try:
conn = get_db()
update_fn = {"bio": update_bio, "status": update_status, "role": update_role}[field]
success = update_fn(conn, branch_name, value)
close_db(conn)
if success:
return {"success": True, "action": "set", "field": field, "branch": branch_name}
else:
return {"success": False, "error": f"Agent '{branch_name}' not found"}
except Exception as e:
logger.error(f"Profile update failed: {e}")
return {"success": False, "error": str(e)}
def list_members(args: List[str]) -> dict:
"""
List all agents with brief profile info.
Usage: commons who
Args:
args: Command arguments (currently unused)
Returns:
Dict with success and agents list
"""
try:
conn = get_db()
agents = get_all_agents_brief(conn)
close_db(conn)
return {"success": True, "agents": agents}
except Exception as e:
logger.error(f"Who listing failed: {e}")
return {"success": False, "error": str(e)}
@@ -0,0 +1,216 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: profile_queries.py - Social Profile Query Handlers
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/profiles
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: pure database queries
# - No sys.path manipulation
# =============================================
"""
Profile Query Handlers for The Commons
Database operations for social profiles: get/update bio, status, role,
and activity statistics. Pure sqlite3 - no external dependencies.
"""
import sqlite3
from datetime import datetime, timezone
from typing import Optional, Dict, Any, List
def get_profile(conn: sqlite3.Connection, branch_name: str) -> Optional[Dict[str, Any]]:
"""
Get the full social profile for a branch.
Args:
conn: Active database connection
branch_name: The branch to look up
Returns:
Dict with all profile fields, or None if agent not found
"""
row = conn.execute(
"SELECT branch_name, display_name, description, karma, joined_at, "
"last_active, bio, status, role, post_count, comment_count "
"FROM agents WHERE branch_name = ?",
(branch_name,)
).fetchone()
if not row:
return None
return dict(row)
def update_bio(conn: sqlite3.Connection, branch_name: str, bio: str) -> bool:
"""
Update an agent's bio text.
Args:
conn: Active database connection
branch_name: The branch to update
bio: New bio text
Returns:
True if updated, False if agent not found
"""
cursor = conn.execute(
"UPDATE agents SET bio = ? WHERE branch_name = ?",
(bio, branch_name)
)
conn.commit()
return cursor.rowcount > 0
def update_status(conn: sqlite3.Connection, branch_name: str, status: str) -> bool:
"""
Update an agent's status message.
Args:
conn: Active database connection
branch_name: The branch to update
status: New status message
Returns:
True if updated, False if agent not found
"""
cursor = conn.execute(
"UPDATE agents SET status = ? WHERE branch_name = ?",
(status, branch_name)
)
conn.commit()
return cursor.rowcount > 0
def update_role(conn: sqlite3.Connection, branch_name: str, role: str) -> bool:
"""
Update an agent's social role.
Args:
conn: Active database connection
branch_name: The branch to update
role: New role label
Returns:
True if updated, False if agent not found
"""
cursor = conn.execute(
"UPDATE agents SET role = ? WHERE branch_name = ?",
(role, branch_name)
)
conn.commit()
return cursor.rowcount > 0
def get_activity_stats(conn: sqlite3.Connection, branch_name: str) -> Optional[Dict[str, Any]]:
"""
Get activity statistics for a branch.
Args:
conn: Active database connection
branch_name: The branch to look up
Returns:
Dict with post_count, comment_count, karma, joined_at, last_active
or None if agent not found
"""
row = conn.execute(
"SELECT post_count, comment_count, karma, joined_at, last_active "
"FROM agents WHERE branch_name = ?",
(branch_name,)
).fetchone()
if not row:
return None
return dict(row)
def increment_post_count(conn: sqlite3.Connection, branch_name: str) -> None:
"""
Increment an agent's post_count by 1.
Args:
conn: Active database connection
branch_name: The branch to update
"""
conn.execute(
"UPDATE agents SET post_count = post_count + 1 WHERE branch_name = ?",
(branch_name,)
)
def increment_comment_count(conn: sqlite3.Connection, branch_name: str) -> None:
"""
Increment an agent's comment_count by 1.
Args:
conn: Active database connection
branch_name: The branch to update
"""
conn.execute(
"UPDATE agents SET comment_count = comment_count + 1 WHERE branch_name = ?",
(branch_name,)
)
def get_all_agents_brief(conn: sqlite3.Connection) -> List[Dict[str, Any]]:
"""
Get a brief listing of all agents for the 'who' command.
Args:
conn: Active database connection
Returns:
List of dicts with branch_name, status, role, karma
"""
rows = conn.execute(
"SELECT branch_name, status, role, karma "
"FROM agents ORDER BY karma DESC"
).fetchall()
return [dict(row) for row in rows]
def format_time_ago(timestamp: str) -> str:
"""
Convert an ISO timestamp to a human-readable 'time ago' string.
Args:
timestamp: ISO format timestamp string (e.g., 2026-02-08T10:00:00Z)
Returns:
Human-readable string like '2h ago', '3d ago', or the date if older
"""
if not timestamp:
return "never"
try:
dt = datetime.strptime(timestamp, "%Y-%m-%dT%H:%M:%SZ").replace(
tzinfo=timezone.utc
)
delta = datetime.now(timezone.utc) - dt
total_seconds = int(delta.total_seconds())
if total_seconds < 60:
return "just now"
elif total_seconds < 3600:
minutes = total_seconds // 60
return f"{minutes}m ago"
elif total_seconds < 86400:
hours = total_seconds // 3600
return f"{hours}h ago"
elif total_seconds < 604800:
days = total_seconds // 86400
return f"{days}d ago"
else:
return timestamp[:10]
except (ValueError, TypeError):
return "unknown"
@@ -0,0 +1,146 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: explore_ops.py - Secret Room Exploration Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/rooms
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Secret Room Exploration Handler
Implementation logic for discovering hidden rooms.
Shows hints, tracks which secret rooms a branch has discovered.
Returns dicts for module display layer.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.explore_ops")
from commons.apps.handlers.database.db import get_db, close_db
# =============================================================================
# EXPLORE - SHOW HINTS FOR HIDDEN ROOMS
# =============================================================================
def explore_rooms(args: List[str]) -> dict:
"""
Show discovery hints for hidden rooms.
If the caller has visited 3+ different rooms, reveal one secret room name.
Returns:
Dict with success, hidden_rooms, rooms_visited, revealed room (if any)
"""
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Run from a branch directory."}
branch_name = caller["name"]
try:
conn = get_db()
hidden_rows = conn.execute(
"SELECT name, display_name, description, discovery_hint FROM rooms WHERE hidden = 1"
).fetchall()
if not hidden_rows:
close_db(conn)
return {"success": True, "hidden_rooms": [], "rooms_visited": 0}
hidden_rooms = [dict(r) for r in hidden_rows]
visited = conn.execute(
"SELECT COUNT(DISTINCT room_name) as cnt FROM ("
" SELECT room_name FROM posts WHERE author = ? "
" UNION "
" SELECT p.room_name FROM comments c JOIN posts p ON c.post_id = p.id WHERE c.author = ?"
")",
(branch_name, branch_name),
).fetchone()
rooms_visited = visited["cnt"] if visited else 0
close_db(conn)
result: dict = {
"success": True,
"hidden_rooms": hidden_rooms,
"rooms_visited": rooms_visited,
"branch_name": branch_name,
}
if rooms_visited >= 3 and hidden_rooms:
result["revealed"] = hidden_rooms[0]
return result
except Exception as e:
logger.error(f"Explore failed: {e}")
return {"success": False, "error": str(e)}
# =============================================================================
# SECRETS - LIST DISCOVERED SECRET ROOMS
# =============================================================================
def list_secrets(args: List[str]) -> dict:
"""
List secret rooms the caller has discovered (posted or commented in).
Returns:
Dict with success, discovered list, total_hidden count
"""
from commons.apps.modules.commons_identity import get_caller_branch
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch. Run from a branch directory."}
branch_name = caller["name"]
try:
conn = get_db()
discovered_rows = conn.execute(
"SELECT DISTINCT r.name, r.display_name, r.description FROM rooms r "
"WHERE r.hidden = 1 AND ("
" r.name IN (SELECT room_name FROM posts WHERE author = ?) "
" OR r.name IN ("
" SELECT p.room_name FROM comments c JOIN posts p ON c.post_id = p.id "
" WHERE c.author = ?"
" )"
")",
(branch_name, branch_name),
).fetchall()
total_hidden = conn.execute(
"SELECT COUNT(*) as cnt FROM rooms WHERE hidden = 1"
).fetchone()["cnt"]
close_db(conn)
return {
"success": True,
"discovered": [dict(r) for r in discovered_rows],
"total_hidden": total_hidden,
"branch_name": branch_name,
}
except Exception as e:
logger.error(f"Secrets listing failed: {e}")
return {"success": False, "error": str(e)}
+228
View File
@@ -0,0 +1,228 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: room_ops.py - Room management operations
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/rooms
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console.print
# - No sys.path manipulation
# - Cross-branch imports use try/except fallback
# =============================================
"""
Room Operations Handler
Create, list, and join rooms in The Commons.
All functions return dicts and never print directly.
"""
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.rooms")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.modules.commons_identity import get_caller_branch
# =============================================================================
# ROOM OPERATIONS
# =============================================================================
def create_room(args: List[str]) -> dict:
"""
Create a new room in The Commons.
Parses room name and description from args. The room name is the
first positional argument; remaining args form the description.
Args:
args: List of string arguments. First element is room name,
rest is the description.
Returns:
Dict with success status, room name, description, and creator.
On error: dict with success=False and error message.
"""
if not args:
return {"success": False, "error": "Room name required. Usage: create_room <name> [description...]"}
room_name = args[0].lower().strip()
description = " ".join(args[1:]) if len(args) > 1 else ""
# Validate room name
if not room_name:
return {"success": False, "error": "Room name cannot be empty"}
# Get caller identity
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
caller_name = caller.get("name", "UNKNOWN")
try:
conn = get_db()
# Check if room already exists
existing = conn.execute(
"SELECT name FROM rooms WHERE name = ?", (room_name,)
).fetchone()
if existing:
close_db(conn)
return {"success": False, "error": f"Room '{room_name}' already exists"}
# Create display name from room name
display_name = room_name.replace("-", " ").replace("_", " ").title()
# Insert the room
conn.execute(
"INSERT INTO rooms (name, display_name, description, created_by) "
"VALUES (?, ?, ?, ?)",
(room_name, display_name, description, caller_name),
)
# Auto-subscribe creator to the new room
conn.execute(
"INSERT OR IGNORE INTO subscriptions (agent_name, room_name) "
"VALUES (?, ?)",
(caller_name, room_name),
)
conn.commit()
close_db(conn)
logger.info(f"[commons.rooms] Room '{room_name}' created by {caller_name}")
return {
"success": True,
"name": room_name,
"description": description,
"created_by": caller_name,
}
except Exception as e:
logger.error(f"[commons.rooms] Room creation failed: {e}")
return {"success": False, "error": str(e)}
def list_rooms(args: List[str]) -> dict:
"""
List all visible rooms in The Commons with member and post counts.
Hidden rooms are excluded from the listing.
Args:
args: List of string arguments (currently unused, reserved for
future filtering options).
Returns:
Dict with success status and list of room dicts including
member_count and post_count.
On error: dict with success=False and error message.
"""
try:
conn = get_db()
rows = conn.execute(
"SELECT r.*, "
" (SELECT COUNT(*) FROM subscriptions s WHERE s.room_name = r.name) as member_count, "
" (SELECT COUNT(*) FROM posts p WHERE p.room_name = r.name) as post_count "
"FROM rooms r "
"WHERE r.hidden = 0 "
"ORDER BY r.name ASC"
).fetchall()
rooms = [dict(r) for r in rows]
close_db(conn)
return {"success": True, "rooms": rooms}
except Exception as e:
logger.error(f"[commons.rooms] Room listing failed: {e}")
return {"success": False, "error": str(e)}
def join_room(args: List[str]) -> dict:
"""
Subscribe the calling agent to a room.
Args:
args: List of string arguments. First element is the room name
to join.
Returns:
Dict with success status, room name, and agent name.
On error: dict with success=False and error message.
"""
if not args:
return {"success": False, "error": "Room name required. Usage: join_room <name>"}
room_name = args[0].lower().strip()
if not room_name:
return {"success": False, "error": "Room name cannot be empty"}
# Get caller identity
caller = get_caller_branch()
if not caller:
return {"success": False, "error": "Could not detect calling branch"}
caller_name = caller.get("name", "UNKNOWN")
try:
conn = get_db()
# Verify room exists
room = conn.execute(
"SELECT name FROM rooms WHERE name = ?", (room_name,)
).fetchone()
if not room:
close_db(conn)
return {"success": False, "error": f"Room '{room_name}' does not exist"}
# Check if already subscribed
existing = conn.execute(
"SELECT agent_name FROM subscriptions WHERE agent_name = ? AND room_name = ?",
(caller_name, room_name),
).fetchone()
if existing:
close_db(conn)
return {"success": False, "error": f"{caller_name} is already a member of '{room_name}'"}
# Subscribe
conn.execute(
"INSERT INTO subscriptions (agent_name, room_name) VALUES (?, ?)",
(caller_name, room_name),
)
conn.commit()
close_db(conn)
logger.info(f"[commons.rooms] {caller_name} joined room '{room_name}'")
return {
"success": True,
"room": room_name,
"agent": caller_name,
}
except Exception as e:
logger.error(f"[commons.rooms] Join room failed: {e}")
return {"success": False, "error": str(e)}
@@ -0,0 +1,102 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: room_state_ops.py - Room State CRUD Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/rooms
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: pure business logic
# - No sys.path manipulation
# =============================================
"""
Room State CRUD Handler
Manages key/value state for rooms (decorations, custom properties)
and convenience setters for room personality columns (mood, flavor, entrance).
"""
import sqlite3
from typing import Dict, Optional
# =============================================================================
# ROOM STATE KEY/VALUE OPERATIONS
# =============================================================================
def set_room_state(conn: sqlite3.Connection, room_name: str, key: str, value: str) -> bool:
"""Upsert a room state key/value pair."""
try:
conn.execute(
"INSERT INTO room_state (room_name, key, value, updated_at) "
"VALUES (?, ?, ?, strftime('%Y-%m-%dT%H:%M:%SZ', 'now')) "
"ON CONFLICT(room_name, key) DO UPDATE SET "
"value = excluded.value, updated_at = excluded.updated_at",
(room_name, key, value),
)
conn.commit()
return True
except Exception:
return False
def get_room_state(conn: sqlite3.Connection, room_name: str, key: str) -> Optional[str]:
"""Get a specific state value for a room."""
try:
row = conn.execute(
"SELECT value FROM room_state WHERE room_name = ? AND key = ?",
(room_name, key),
).fetchone()
return row["value"] if row else None
except Exception:
return None
def get_all_room_state(conn: sqlite3.Connection, room_name: str) -> Dict[str, str]:
"""Get all state key/value pairs for a room."""
try:
rows = conn.execute(
"SELECT key, value FROM room_state WHERE room_name = ? ORDER BY key",
(room_name,),
).fetchall()
return {row["key"]: row["value"] for row in rows}
except Exception:
return {}
# =============================================================================
# ROOM PERSONALITY COLUMN SETTERS
# =============================================================================
def set_mood(conn: sqlite3.Connection, room_name: str, mood: str) -> bool:
"""Update a room's mood column."""
try:
conn.execute("UPDATE rooms SET mood = ? WHERE name = ?", (mood, room_name))
conn.commit()
return True
except Exception:
return False
def set_flavor(conn: sqlite3.Connection, room_name: str, text: str) -> bool:
"""Update a room's flavor text."""
try:
conn.execute("UPDATE rooms SET flavor_text = ? WHERE name = ?", (text, room_name))
conn.commit()
return True
except Exception:
return False
def set_entrance(conn: sqlite3.Connection, room_name: str, message: str) -> bool:
"""Update a room's entrance message."""
try:
conn.execute("UPDATE rooms SET entrance_message = ? WHERE name = ?", (message, room_name))
conn.commit()
return True
except Exception:
return False
@@ -0,0 +1,216 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: space_ops.py - Spatial Navigation Data Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/rooms
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Spatial Navigation Data Handler
Data retrieval and mutation for spatial room commands: enter, look, decorate, visitors.
Returns structured dicts for module-layer rendering.
"""
import logging
from datetime import datetime, timedelta
from typing import Dict, Any
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.space_ops")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.handlers.rooms.room_state_ops import get_all_room_state, set_room_state
# =============================================================================
# DATA RETRIEVAL
# =============================================================================
def get_room_enter_data(room_name: str) -> Dict[str, Any]:
"""
Gather all data needed to render the 'enter' view for a room.
Returns:
Dict with keys: found, room, state, post_count, recent_count, decorations, error
"""
result: Dict[str, Any] = {"found": False, "error": None}
try:
conn = get_db()
row = conn.execute("SELECT * FROM rooms WHERE name = ?", (room_name,)).fetchone()
if not row:
close_db(conn)
result["error"] = f"Room '{room_name}' not found"
return result
room = dict(row)
state = get_all_room_state(conn, room_name)
post_count = conn.execute(
"SELECT COUNT(*) FROM posts WHERE room_name = ?", (room_name,)
).fetchone()[0]
cutoff = (datetime.utcnow() - timedelta(hours=48)).strftime("%Y-%m-%dT%H:%M:%SZ")
recent_count = conn.execute(
"SELECT COUNT(*) FROM posts WHERE room_name = ? AND created_at > ?",
(room_name, cutoff),
).fetchone()[0]
close_db(conn)
decorations = {k: v for k, v in state.items() if k.startswith("decor_")}
result.update({
"found": True,
"room": room,
"state": state,
"post_count": post_count,
"recent_count": recent_count,
"decorations": decorations,
})
except Exception as e:
result["error"] = str(e)
return result
def get_room_look_data(room_name: str) -> Dict[str, Any]:
"""
Gather all data needed to render the 'look' view for a room.
Returns:
Dict with keys: found, room, state, decorations, recent_posts, error
"""
result: Dict[str, Any] = {"found": False, "error": None}
try:
conn = get_db()
row = conn.execute("SELECT * FROM rooms WHERE name = ?", (room_name,)).fetchone()
if not row:
close_db(conn)
result["error"] = f"Room '{room_name}' not found"
return result
room = dict(row)
state = get_all_room_state(conn, room_name)
recent_rows = conn.execute(
"SELECT id, title, author, created_at FROM posts "
"WHERE room_name = ? ORDER BY created_at DESC LIMIT 5",
(room_name,),
).fetchall()
close_db(conn)
decorations = {k: v for k, v in state.items() if k.startswith("decor_")}
recent_posts = [dict(r) for r in recent_rows]
result.update({
"found": True,
"room": room,
"state": state,
"decorations": decorations,
"recent_posts": recent_posts,
})
except Exception as e:
result["error"] = str(e)
return result
def place_decoration(room_name: str, item_name: str, description: str, branch_name: str) -> Dict[str, Any]:
"""
Place a decoration in a room (stored as room_state key=decor_<name>).
Returns:
Dict with keys: success, display_name, error
"""
result: Dict[str, Any] = {"success": False, "error": None}
try:
conn = get_db()
room = conn.execute("SELECT name FROM rooms WHERE name = ?", (room_name,)).fetchone()
if not room:
close_db(conn)
result["error"] = f"Room '{room_name}' not found"
return result
state_key = f"decor_{item_name}"
state_value = f"{description} (placed by {branch_name})"
ok = set_room_state(conn, room_name, state_key, state_value)
close_db(conn)
display_name = item_name.replace("_", " ").title()
result.update({"success": ok, "display_name": display_name})
if not ok:
result["error"] = "Failed to store decoration"
except Exception as e:
result["error"] = str(e)
return result
def get_visitors_data(room_name: str) -> Dict[str, Any]:
"""
Get distinct authors who posted or commented in a room in the last 48h.
Returns:
Dict with keys: found, visitors (sorted list), error
"""
result: Dict[str, Any] = {"found": False, "visitors": [], "error": None}
try:
conn = get_db()
room = conn.execute("SELECT name FROM rooms WHERE name = ?", (room_name,)).fetchone()
if not room:
close_db(conn)
result["error"] = f"Room '{room_name}' not found"
return result
cutoff = (datetime.utcnow() - timedelta(hours=48)).strftime("%Y-%m-%dT%H:%M:%SZ")
post_authors = conn.execute(
"SELECT DISTINCT author FROM posts WHERE room_name = ? AND created_at > ?",
(room_name, cutoff),
).fetchall()
comment_authors = conn.execute(
"SELECT DISTINCT c.author FROM comments c "
"JOIN posts p ON c.post_id = p.id "
"WHERE p.room_name = ? AND c.created_at > ?",
(room_name, cutoff),
).fetchall()
close_db(conn)
visitors = set()
for row in post_authors:
visitors.add(row["author"])
for row in comment_authors:
visitors.add(row["author"])
result.update({"found": True, "visitors": sorted(visitors)})
except Exception as e:
result["error"] = str(e)
return result
@@ -0,0 +1,123 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: log_export.py - Room Log Export Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/search
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: pure business logic
# - No sys.path manipulation
# =============================================
"""
Room Log Export Handler
Exports a plaintext log of a room's posts and threaded comments.
Used by the search module's 'log' command.
"""
import sqlite3
from datetime import datetime, timezone
from typing import Dict, List
def export_room_log(
conn: sqlite3.Connection,
room_name: str,
limit: int = 100,
) -> str:
"""
Export a plaintext log of a room's posts and comments.
Args:
conn: Database connection.
room_name: Room to export.
limit: Maximum number of posts to include.
Returns:
Formatted plaintext string of the room log.
"""
now = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
post_rows = conn.execute(
"SELECT id, title, content, author, vote_score, created_at "
"FROM posts WHERE room_name = ? ORDER BY created_at DESC LIMIT ?",
(room_name, limit),
).fetchall()
lines = [
f"=== r/{room_name} - The Commons Log ===",
f"Exported: {now}",
"",
]
if not post_rows:
lines.append("No posts in this room.")
return "\n".join(lines)
for post_row in post_rows:
post = dict(post_row)
date_str = post["created_at"][:10] if post["created_at"] else "unknown"
score_str = f"+{post['vote_score']}" if post["vote_score"] >= 0 else str(post["vote_score"])
lines.append(
f"--- Post #{post['id']}: \"{post['title']}\" "
f"by {post['author']} ({date_str}) [{score_str}] ---"
)
lines.append(post["content"] or "")
comment_rows = conn.execute(
"SELECT id, parent_id, author, content, vote_score "
"FROM comments WHERE post_id = ? ORDER BY created_at ASC",
(post["id"],),
).fetchall()
if comment_rows:
comments = [dict(c) for c in comment_rows]
comment_lines = _format_comment_tree(comments)
lines.append("")
lines.extend(comment_lines)
lines.append("")
return "\n".join(lines)
def _format_comment_tree(comments: List[Dict]) -> List[str]:
"""
Format comments into an indented tree structure.
Args:
comments: List of comment dicts with id, parent_id, author, content, vote_score.
Returns:
List of formatted lines.
"""
children_map: Dict[int, List[Dict]] = {}
top_level: List[Dict] = []
for c in comments:
if c["parent_id"] is None:
top_level.append(c)
else:
children_map.setdefault(c["parent_id"], []).append(c)
lines: List[str] = []
def _render(comment: Dict, depth: int = 0) -> None:
indent = " " * depth
score_str = f"+{comment['vote_score']}" if comment["vote_score"] >= 0 else str(comment["vote_score"])
lines.append(
f" {indent}> {comment['author']}: {comment['content']} [{score_str}]"
)
for child in children_map.get(comment["id"], []):
_render(child, depth + 1)
for c in top_level:
_render(c)
return lines
@@ -0,0 +1,186 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: search_ops.py - Search Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/search
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Search Operations Handler
Implementation logic for search and log export commands.
Returns dicts for module display layer.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.search_ops")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.handlers.search.search_queries import (
search_posts,
search_comments,
search_all,
)
from commons.apps.handlers.search.log_export import export_room_log
# =============================================================================
# PRIVATE HELPERS
# =============================================================================
def _parse_search_args(args: List[str]) -> dict:
"""
Parse search command arguments.
Args:
args: Raw argument list
Returns:
Dict with query, room, author, search_type keys
"""
result = {
"query": "",
"room": None,
"author": None,
"search_type": "all",
}
if not args:
return result
result["query"] = args[0]
remaining = args[1:]
i = 0
while i < len(remaining):
flag = remaining[i]
if flag == "--room" and i + 1 < len(remaining):
result["room"] = remaining[i + 1].lower()
i += 2
elif flag == "--author" and i + 1 < len(remaining):
result["author"] = remaining[i + 1].upper()
i += 2
elif flag == "--type" and i + 1 < len(remaining):
search_type = remaining[i + 1].lower()
if search_type in ("posts", "comments"):
result["search_type"] = search_type
i += 2
else:
i += 1
return result
# =============================================================================
# SEARCH OPERATIONS
# =============================================================================
def run_search(args: List[str]) -> dict:
"""
Full-text search across posts and comments.
Usage: commons search "query" [--room ROOM] [--author AUTHOR] [--type posts|comments]
Args:
args: Command arguments
Returns:
Dict with success, posts, comments, query keys
"""
if not args:
return {"success": False, "error": 'Usage: commons search "query" [--room ROOM] [--author AUTHOR] [--type posts|comments]'}
parsed = _parse_search_args(args)
query = parsed["query"]
if not query:
return {"success": False, "error": "Search query cannot be empty"}
try:
conn = get_db()
if parsed["search_type"] == "posts":
posts = search_posts(conn, query, room=parsed["room"], author=parsed["author"])
comments_list: list = []
elif parsed["search_type"] == "comments":
posts = []
comments_list = search_comments(conn, query, author=parsed["author"])
else:
results = search_all(conn, query, room=parsed["room"], author=parsed["author"])
posts = results["posts"]
comments_list = results["comments"]
close_db(conn)
except Exception as e:
logger.error(f"Search failed: {e}")
return {"success": False, "error": str(e)}
return {
"success": True,
"query": query,
"posts": posts,
"comments": comments_list,
}
def run_log_export(args: List[str]) -> dict:
"""
Export a room's post/comment history as plaintext.
Usage: commons log <room_name> [--limit N]
Args:
args: Command arguments
Returns:
Dict with success and log_text keys
"""
if not args:
return {"success": False, "error": "Usage: commons log <room_name> [--limit N]"}
room_name = args[0].lower()
limit = 100
remaining = args[1:]
if "--limit" in remaining:
idx = remaining.index("--limit")
if idx + 1 < len(remaining):
try:
limit = int(remaining[idx + 1])
except ValueError:
return {"success": False, "error": "Limit must be a number"}
try:
conn = get_db()
row = conn.execute("SELECT name FROM rooms WHERE name = ?", (room_name,)).fetchone()
if not row:
close_db(conn)
return {"success": False, "error": f"Room '{room_name}' not found"}
log_text = export_room_log(conn, room_name, limit=limit)
close_db(conn)
except Exception as e:
logger.error(f"Log export failed: {e}")
return {"success": False, "error": str(e)}
return {
"success": True,
"log_text": log_text,
"room": room_name,
}
@@ -0,0 +1,180 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: search_queries.py - FTS5 Search Query Handlers
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/search
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: pure database queries
# - No sys.path manipulation
# =============================================
"""
FTS5 Search Query Handlers
Full-text search using SQLite FTS5 for posts and comments.
Provides search, filtering, and FTS index sync functions.
"""
import sqlite3
from typing import List, Dict, Any, Optional
def search_posts(
conn: sqlite3.Connection,
query: str,
room: Optional[str] = None,
author: Optional[str] = None,
limit: int = 25,
) -> List[Dict[str, Any]]:
"""
Search posts using FTS5 full-text index.
Args:
conn: Database connection.
query: Search query string (FTS5 syntax).
room: Optional room name filter.
author: Optional author name filter.
limit: Maximum results to return.
Returns:
List of dicts with post search results.
"""
sql = """
SELECT p.id, p.title, substr(p.content, 1, 200) AS content_snippet,
p.author, p.room_name, p.vote_score, p.created_at
FROM posts_fts fts
JOIN posts p ON fts.rowid = p.id
WHERE posts_fts MATCH ?
"""
params: List[Any] = [query]
if room:
sql += " AND p.room_name = ?"
params.append(room)
if author:
sql += " AND p.author = ?"
params.append(author)
sql += " ORDER BY rank LIMIT ?"
params.append(limit)
rows = conn.execute(sql, params).fetchall()
return [dict(r) for r in rows]
def search_comments(
conn: sqlite3.Connection,
query: str,
author: Optional[str] = None,
limit: int = 25,
) -> List[Dict[str, Any]]:
"""
Search comments using FTS5 full-text index.
Args:
conn: Database connection.
query: Search query string (FTS5 syntax).
author: Optional author name filter.
limit: Maximum results to return.
Returns:
List of dicts with comment search results.
"""
sql = """
SELECT c.id, substr(c.content, 1, 200) AS content_snippet,
c.author, c.post_id, p.title AS post_title,
c.vote_score, c.created_at
FROM comments_fts fts
JOIN comments c ON fts.rowid = c.id
JOIN posts p ON c.post_id = p.id
WHERE comments_fts MATCH ?
"""
params: List[Any] = [query]
if author:
sql += " AND c.author = ?"
params.append(author)
sql += " ORDER BY rank LIMIT ?"
params.append(limit)
rows = conn.execute(sql, params).fetchall()
return [dict(r) for r in rows]
def search_all(
conn: sqlite3.Connection,
query: str,
room: Optional[str] = None,
author: Optional[str] = None,
limit: int = 25,
) -> Dict[str, List[Dict[str, Any]]]:
"""
Search both posts and comments, returning combined results.
Args:
conn: Database connection.
query: Search query string (FTS5 syntax).
room: Optional room name filter (posts only).
author: Optional author name filter.
limit: Maximum results per category.
Returns:
Dict with "posts" and "comments" lists.
"""
posts = search_posts(conn, query, room=room, author=author, limit=limit)
comments = search_comments(conn, query, author=author, limit=limit)
return {"posts": posts, "comments": comments}
def sync_post_to_fts(
conn: sqlite3.Connection,
post_id: int,
title: str,
content: str,
author: str,
room_name: str,
) -> None:
"""
Insert or update a single post in the FTS index.
Args:
conn: Database connection.
post_id: Post ID (rowid in FTS table).
title: Post title.
content: Post content.
author: Post author.
room_name: Room the post belongs to.
"""
conn.execute(
"INSERT OR REPLACE INTO posts_fts(rowid, title, content, author, room_name) "
"VALUES (?, ?, ?, ?, ?)",
(post_id, title, content, author, room_name),
)
def sync_comment_to_fts(
conn: sqlite3.Connection,
comment_id: int,
content: str,
author: str,
) -> None:
"""
Insert or update a single comment in the FTS index.
Args:
conn: Database connection.
comment_id: Comment ID (rowid in FTS table).
content: Comment content.
author: Comment author.
"""
conn.execute(
"INSERT OR REPLACE INTO comments_fts(rowid, content, author) "
"VALUES (?, ?, ?)",
(comment_id, content, author),
)
@@ -0,0 +1,151 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: leaderboard_ops.py - Leaderboard Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/social
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Leaderboard Operations Handler
Implementation logic for displaying rankings across categories:
most artifacts, most trades, most posts, most active room, top karma.
Returns dicts for module display layer.
"""
import logging
import sqlite3
from typing import List, Dict, Any
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.leaderboard_ops")
from commons.apps.handlers.database.db import get_db, close_db
# =============================================================================
# LEADERBOARD CATEGORIES
# =============================================================================
VALID_CATEGORIES = ["artifacts", "trades", "posts", "rooms", "karma"]
def _query_artifacts(conn: sqlite3.Connection) -> List[Dict[str, Any]]:
"""Get branches with the highest artifact count."""
rows = conn.execute(
"SELECT owner, COUNT(*) as cnt FROM artifacts "
"GROUP BY owner ORDER BY cnt DESC LIMIT 10"
).fetchall()
return [{"branch": row["owner"], "count": row["cnt"]} for row in rows]
def _query_trades(conn: sqlite3.Connection) -> List[Dict[str, Any]]:
"""Get branches with the most gift/trade activity."""
rows = conn.execute(
"SELECT from_agent as branch, COUNT(*) as cnt FROM artifact_history "
"WHERE action IN ('traded', 'gifted') "
"GROUP BY from_agent ORDER BY cnt DESC LIMIT 10"
).fetchall()
return [{"branch": row["branch"], "count": row["cnt"]} for row in rows]
def _query_posts(conn: sqlite3.Connection) -> List[Dict[str, Any]]:
"""Get branches with the highest post_count."""
rows = conn.execute(
"SELECT branch_name, post_count FROM agents "
"WHERE post_count > 0 "
"ORDER BY post_count DESC LIMIT 10"
).fetchall()
return [{"branch": row["branch_name"], "count": row["post_count"]} for row in rows]
def _query_rooms(conn: sqlite3.Connection) -> List[Dict[str, Any]]:
"""Get rooms with the most posts in the last 7 days."""
rows = conn.execute(
"SELECT room_name, COUNT(*) as cnt FROM posts "
"WHERE created_at > strftime('%Y-%m-%dT%H:%M:%SZ', 'now', '-7 days') "
"GROUP BY room_name ORDER BY cnt DESC LIMIT 10"
).fetchall()
return [{"room": row["room_name"], "count": row["cnt"]} for row in rows]
def _query_karma(conn: sqlite3.Connection) -> List[Dict[str, Any]]:
"""Get branches with the highest karma."""
rows = conn.execute(
"SELECT branch_name, karma FROM agents "
"WHERE karma > 0 "
"ORDER BY karma DESC LIMIT 10"
).fetchall()
return [{"branch": row["branch_name"], "count": row["karma"]} for row in rows]
# =============================================================================
# PUBLIC API
# =============================================================================
def show_leaderboard(args: List[str]) -> dict:
"""
Query leaderboard data.
Usage: commons leaderboard [--category CATEGORY]
Categories: artifacts, trades, posts, rooms, karma
Default: show all categories.
Returns:
Dict with success, category, and boards data
"""
category = None
i = 0
while i < len(args):
if args[i] == "--category" and i + 1 < len(args):
category = args[i + 1].lower()
i += 2
else:
i += 1
if category and category not in VALID_CATEGORIES:
return {
"success": False,
"error": f"Invalid category '{category}'. Must be one of: {', '.join(VALID_CATEGORIES)}",
}
try:
conn = get_db()
boards: Dict[str, List[Dict[str, Any]]] = {}
query_map = {
"artifacts": _query_artifacts,
"trades": _query_trades,
"posts": _query_posts,
"rooms": _query_rooms,
"karma": _query_karma,
}
if category:
boards[category] = query_map[category](conn)
else:
for cat in VALID_CATEGORIES:
boards[cat] = query_map[cat](conn)
close_db(conn)
return {
"success": True,
"category": category or "all",
"boards": boards,
}
except Exception as e:
logger.error(f"Leaderboard query failed: {e}")
return {"success": False, "error": str(e)}
@@ -0,0 +1,151 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: welcome_handler.py - Welcome & Onboarding Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/welcome
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: pure business logic
# - No sys.path manipulation
# =============================================
"""
Welcome & Onboarding Handler
Provides database query functions for welcoming new branches
and nudging inactive members to engage with The Commons.
"""
import logging
import sqlite3
from typing import Optional, List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.welcome_handler")
def create_welcome_post(conn: sqlite3.Connection, branch_name: str) -> Optional[int]:
"""
Create a system welcome post in the general room for a new branch.
Also creates a mention record so the welcomed branch sees the notification.
Args:
conn: Database connection
branch_name: The branch name to welcome
Returns:
Post ID of the created welcome post, or None if creation failed
"""
if has_been_welcomed(conn, branch_name):
return None
title = f"Welcome @{branch_name} to The Commons!"
content = (
f"@{branch_name} has joined the community! Drop by and say hello. "
f"Check out the rooms, share your thoughts, and don't forget to use "
f"`commons catchup` to stay in the loop."
)
try:
cursor = conn.execute(
"INSERT INTO posts (room_name, author, title, content, post_type) "
"VALUES (?, ?, ?, ?, ?)",
("general", "SYSTEM", title, content, "announcement"),
)
post_id = cursor.lastrowid
conn.execute(
"INSERT INTO mentions (post_id, mentioned_agent, mentioner_agent) "
"VALUES (?, ?, ?)",
(post_id, branch_name, "SYSTEM"),
)
conn.commit()
return post_id
except Exception as e:
logger.error(f"Failed to create welcome post for {branch_name}: {e}")
return None
def has_been_welcomed(conn: sqlite3.Connection, branch_name: str) -> bool:
"""
Check if a welcome post already exists for this branch.
Args:
conn: Database connection
branch_name: The branch name to check
Returns:
True if a welcome post exists, False otherwise
"""
row = conn.execute(
"SELECT id FROM posts WHERE author = 'SYSTEM' AND title LIKE 'Welcome @' || ? || '%' LIMIT 1",
(branch_name,),
).fetchone()
return row is not None
def get_onboarding_nudge(conn: sqlite3.Connection, branch_name: str) -> Optional[str]:
"""
Get an onboarding nudge message for branches that haven't engaged yet.
Args:
conn: Database connection
branch_name: The branch name to check
Returns:
A tip string if the branch needs encouragement, or None if active
"""
row = conn.execute(
"SELECT post_count, comment_count FROM agents WHERE branch_name = ?",
(branch_name,),
).fetchone()
if row is None:
return None
post_count = row["post_count"]
comment_count = row["comment_count"]
if post_count == 0 and comment_count == 0:
return 'You haven\'t posted yet! Try: commons post "general" "Hello!" "Your first post"'
elif post_count == 0 and comment_count > 0:
return 'You\'ve been commenting but never posted! Share something: commons post "general" "Title" "Content"'
return None
def welcome_new_branches(conn: sqlite3.Connection) -> List[str]:
"""
Scan agents table and create welcome posts for any unwelcomed branches.
Skips the SYSTEM agent.
Args:
conn: Database connection
Returns:
List of branch names that were newly welcomed
"""
rows = conn.execute(
"SELECT branch_name FROM agents WHERE branch_name != 'SYSTEM'"
).fetchall()
welcomed = []
for row in rows:
name = row["branch_name"]
if not has_been_welcomed(conn, name):
post_id = create_welcome_post(conn, name)
if post_id is not None:
welcomed.append(name)
return welcomed
@@ -0,0 +1,124 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: welcome_ops.py - Welcome Operations Handler
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/handlers/welcome
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Handler: returns dicts, no console output
# - No sys.path manipulation
# =============================================
"""
Welcome Operations Handler
Implementation logic for the welcome command: scanning for unwelcomed
branches and creating welcome posts. Returns dicts for module display layer.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.welcome_ops")
from commons.apps.handlers.database.db import get_db, close_db
from commons.apps.handlers.welcome.welcome_handler import (
welcome_new_branches,
create_welcome_post,
has_been_welcomed,
)
# =============================================================================
# WELCOME OPERATIONS
# =============================================================================
def run_welcome(args: List[str]) -> dict:
"""
Scan for unwelcomed branches or welcome a specific branch.
Usage:
commons welcome - Scan and welcome all new branches
commons welcome <branch> - Manually welcome a specific branch
Args:
args: Command arguments
Returns:
Dict with success and welcomed info
"""
conn = None
try:
conn = get_db()
if args:
branch_name = args[0].upper()
result = _welcome_specific(conn, branch_name)
else:
result = _welcome_scan(conn)
close_db(conn)
conn = None
return result
except Exception as e:
logger.error(f"Welcome command failed: {e}")
if conn:
close_db(conn)
return {"success": False, "error": str(e)}
def _welcome_scan(conn) -> dict:
"""
Scan for unwelcomed branches and create welcome posts.
Args:
conn: Database connection
Returns:
Dict with success and welcomed list
"""
welcomed = welcome_new_branches(conn)
return {
"success": True,
"action": "scan",
"welcomed": welcomed,
}
def _welcome_specific(conn, branch_name: str) -> dict:
"""
Welcome a specific branch by name.
Args:
conn: Database connection
branch_name: Branch name to welcome
Returns:
Dict with success and welcome result
"""
agent = conn.execute(
"SELECT branch_name FROM agents WHERE branch_name = ?", (branch_name,)
).fetchone()
if not agent:
return {"success": False, "error": f"Branch '{branch_name}' not found in The Commons."}
if has_been_welcomed(conn, branch_name):
return {"success": True, "action": "specific", "already_welcomed": True, "branch": branch_name}
post_id = create_welcome_post(conn, branch_name)
if post_id:
return {"success": True, "action": "specific", "already_welcomed": False, "branch": branch_name, "post_id": post_id}
else:
return {"success": False, "error": f"Failed to create welcome post for @{branch_name}."}
@@ -0,0 +1,9 @@
{
"module_name": "",
"version": "1.0.0",
"timestamp": "",
"config": {
"auto_save": true,
"enabled": true
}
}
@@ -0,0 +1,6 @@
{
"module_name": "",
"version": "1.0.0",
"timestamp": "",
"data": {}
}
@@ -0,0 +1,6 @@
{
"module_name": "",
"version": "1.0.0",
"timestamp": "",
"entries": []
}
+14
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@@ -0,0 +1,14 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: __init__.py - The Commons modules package
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
# =============================================
"""
The Commons - Modules Package
Auto-discovered command modules for The Commons orchestrator.
Each module implements handle_command(command, args) -> bool.
"""
+120
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@@ -0,0 +1,120 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: activity_module.py - Activity Feed Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Activity Feed Orchestration Module
Thin router for the activity command. Delegates query logic
to handlers/activity/activity_ops.py and renders results with Rich.
Handles: activity command.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.activity_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.table import Table
from commons.apps.handlers.activity.activity_ops import run_activity
from commons.apps.handlers.identity.identity_ops import resolve_display_name
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle activity-related commands.
Args:
command: Command name (activity)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command != "activity":
return False
return _handle_activity(args)
# =============================================================================
# DISPLAY HANDLER
# =============================================================================
def _handle_activity(args: List[str]) -> bool:
"""Query activity and display as Rich table."""
result = run_activity(args)
if not result["success"]:
if result.get("error"):
console.print(f"[red]{result['error']}[/red]")
return True
if result.get("help"):
console.print(result["help_text"])
return True
activities = result["activities"]
room_filter = result.get("room_filter")
console.print()
if not activities:
if room_filter:
console.print(f"[dim]No recent activity in room '{room_filter}'.[/dim]")
else:
console.print("[dim]No recent activity in The Commons.[/dim]")
console.print()
return True
title = "Recent Activity"
if room_filter:
title += f" in #{room_filter}"
table = Table(title=title, show_lines=False, pad_edge=True)
table.add_column("Time", style="dim", no_wrap=True, width=10)
table.add_column("Author", style="cyan", no_wrap=True, width=14)
table.add_column("Thread", style="green", no_wrap=True, width=30)
table.add_column("Comment", style="white", width=60)
for activity in activities:
author = resolve_display_name(activity["author"])
table.add_row(
activity["time"],
author,
activity["title"],
activity["content"],
)
console.print(table)
console.print()
return True
+252
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@@ -0,0 +1,252 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: artifact_module.py - Artifact Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Artifact Orchestration Module
Router + display layer for artifact workflows. Delegates all logic
to handlers/artifacts/artifact_ops.py and renders results with Rich.
Handles: craft, artifacts, inspect, collab, sign commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.artifact_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.panel import Panel
from rich.table import Table
from commons.apps.handlers.artifacts.artifact_ops import (
craft_artifact, list_artifacts, inspect_artifact, collab_artifact, sign_artifact,
RARITY_COLORS,
)
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""Handle artifact-related commands."""
if command not in ["craft", "artifacts", "inspect", "collab", "sign"]:
return False
if command == "craft":
return _handle_craft(args)
elif command == "artifacts":
return _handle_list(args)
elif command == "inspect":
return _handle_inspect(args)
elif command == "collab":
return _handle_collab(args)
elif command == "sign":
return _handle_sign(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_craft(args: List[str]) -> bool:
result = craft_artifact(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
rarity_color = RARITY_COLORS.get(result["rarity"], "white")
console.print()
console.print("[green]Artifact crafted![/green]")
console.print(f" [dim]ID:[/dim] {result['artifact_id']}")
console.print(f" [dim]Name:[/dim] {result['name']}")
console.print(f" [dim]Type:[/dim] {result['type']}")
console.print(f" [dim]Rarity:[/dim] [{rarity_color}]{result['rarity']}[/{rarity_color}]")
console.print(f" [dim]Creator:[/dim] {result['creator']}")
console.print(f" [dim]Description:[/dim] {result['description']}")
console.print()
return True
def _handle_list(args: List[str]) -> bool:
result = list_artifacts(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
artifacts = result["artifacts"]
if not artifacts:
scope = "in the system" if result["show_all"] else "in your collection"
console.print(f"\n[dim]No artifacts found {scope}.[/dim]\n")
return True
table = Table(title=result["scope_label"], border_style="cyan")
table.add_column("ID", style="dim", width=5)
table.add_column("Name", style="bold")
table.add_column("Type", style="dim")
table.add_column("Rarity", width=10)
table.add_column("Creator", style="dim")
table.add_column("Owner", style="dim")
table.add_column("Created", style="dim", width=12)
for a in artifacts:
rarity_color = RARITY_COLORS.get(a["rarity"], "white")
created_short = a["created_at"][:10] if a["created_at"] else ""
table.add_row(
str(a["id"]), a["name"], a["type"],
f"[{rarity_color}]{a['rarity']}[/{rarity_color}]",
a["creator"], a["owner"], created_short,
)
console.print()
console.print(table)
console.print(f"\n[dim]Total: {len(artifacts)} artifact(s)[/dim]\n")
return True
def _handle_inspect(args: List[str]) -> bool:
result = inspect_artifact(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
artifact = result["artifact"]
history = result["history"]
show_full = result["show_full"]
metadata = artifact.get("_parsed_metadata", {})
rarity_color = RARITY_COLORS.get(artifact["rarity"], "white")
details = []
details.append(f"[bold]Name:[/bold] {artifact['name']}")
details.append(f"[bold]Type:[/bold] {artifact['type']}")
details.append(f"[bold]Rarity:[/bold] [{rarity_color}]{artifact['rarity']}[/{rarity_color}]")
details.append(f"[bold]Creator:[/bold] {artifact['creator']}")
details.append(f"[bold]Owner:[/bold] {artifact['owner']}")
details.append(f"[bold]Description:[/bold] {artifact['description']}")
details.append(f"[bold]Created:[/bold] {artifact['created_at']}")
if artifact.get("expires_at"):
details.append(f"[bold]Expires:[/bold] {artifact['expires_at']}")
if artifact.get("room_found"):
details.append(f"[bold]Found in:[/bold] r/{artifact['room_found']}")
if metadata:
details.append("[bold]Metadata:[/bold]")
for key, value in metadata.items():
details.append(f" {key}: {value}")
console.print()
console.print(Panel("\n".join(details), title=f"Artifact #{artifact['id']}", border_style=rarity_color))
if history:
total_entries = len(history)
max_display = 10
if show_full or total_entries <= max_display:
display_entries = history
header_text = f"Provenance Chain ({total_entries} entries)"
else:
display_entries = history[-max_display:]
header_text = f"Provenance Chain (showing last {max_display} of {total_entries} entries)"
console.print(f"\n[bold]{header_text}:[/bold]\n")
for entry in display_entries:
action = entry["action"]
from_agent = entry["from_agent"] or "?"
to_agent = entry["to_agent"] or "?"
timestamp = entry["created_at"] or ""
if action == "created":
console.print(f" [green]+[/green] {timestamp[:19]} | Created by {from_agent}")
elif action in ("traded", "gifted"):
console.print(f" [cyan]>[/cyan] {timestamp[:19]} | {action.title()}: {from_agent} -> {to_agent}")
elif action == "found":
console.print(f" [yellow]*[/yellow] {timestamp[:19]} | Found by {to_agent}")
elif action == "expired":
console.print(f" [red]x[/red] {timestamp[:19]} | Expired: {entry.get('details', '')}")
else:
console.print(f" [dim]-[/dim] {timestamp[:19]} | {action.title()}: {entry.get('details', '')}")
if not show_full and total_entries > max_display:
console.print(f"\n [dim]Full provenance: {total_entries} entries (use --full to see all)[/dim]")
else:
console.print("\n[dim] No provenance history recorded.[/dim]")
console.print()
return True
def _handle_collab(args: List[str]) -> bool:
result = collab_artifact(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
for warning in result.get("warnings", []):
console.print(f"[yellow]Warning: {warning}[/yellow]")
rarity_color = RARITY_COLORS.get(result["rarity"], "white")
console.print()
console.print("[green]Joint artifact initiated![/green]")
console.print(f" [dim]Pending ID:[/dim] {result['pending_id']}")
console.print(f" [dim]Name:[/dim] {result['name']}")
console.print(f" [dim]Rarity:[/dim] [{rarity_color}]{result['rarity']}[/{rarity_color}]")
console.print(f" [dim]Initiator:[/dim] {result['initiator']}")
console.print(f" [dim]Required signers:[/dim] {', '.join(result['signers'])}")
console.print(f" [dim]Expires:[/dim] {result['expires_at']}")
console.print()
console.print(f"[dim]Signers can complete with: commons sign {result['pending_id']}[/dim]")
console.print()
return True
def _handle_sign(args: List[str]) -> bool:
result = sign_artifact(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
if result["completed"]:
rarity_color = RARITY_COLORS.get(result["rarity"], "white")
console.print()
console.print("[bold green]Joint artifact completed![/bold green]")
console.print(f" [dim]Artifact ID:[/dim] {result['artifact_id']}")
console.print(f" [dim]Name:[/dim] [{rarity_color}]{result['name']}[/{rarity_color}]")
console.print(f" [dim]Rarity:[/dim] [{rarity_color}]{result['rarity']}[/{rarity_color}]")
console.print(f" [dim]Created by:[/dim] {', '.join(result['participants'])}")
console.print(f" [dim]Owner:[/dim] {result['owner']}")
console.print()
else:
console.print()
console.print(f"[green]Signed! {result['signer']} added signature to joint artifact {result['pending_id']}[/green]")
console.print(f" [dim]Signed:[/dim] {', '.join(result['signed'])}")
console.print(f" [dim]Still needed:[/dim] {', '.join(result['remaining'])}")
console.print()
return True
+169
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@@ -0,0 +1,169 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: capsule_module.py - Time Capsule Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Time Capsule Orchestration Module
Router + display layer for time capsule workflows. Delegates all logic
to handlers/artifacts/capsule_ops.py and renders results with Rich.
Handles: capsule, capsules, open commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.capsule_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.panel import Panel
from rich.table import Table
from commons.apps.handlers.artifacts.capsule_ops import (
seal_capsule, list_capsules, open_capsule,
)
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""Handle time capsule commands."""
if command not in ["capsule", "capsules", "open"]:
return False
if command == "capsule":
return _handle_seal(args)
elif command == "capsules":
return _handle_list(args)
elif command == "open":
return _handle_open(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_seal(args: List[str]) -> bool:
result = seal_capsule(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
console.print(Panel(
f"[bold]Time capsule sealed![/bold]\n\n"
f"[dim]ID:[/dim] {result['capsule_id']}\n"
f"[dim]Title:[/dim] {result['title']}\n"
f"[dim]Sealed by:[/dim] {result['creator']}\n"
f"[dim]Opens in:[/dim] {result['days']} day(s)\n"
f"[dim]Opens at:[/dim] {result['opens_at']}\n"
f"[dim]Room:[/dim] r/time-capsule-vault\n\n"
f"[italic]The contents are sealed until the appointed time.[/italic]",
title="Time Capsule Sealed",
border_style="magenta",
))
console.print()
return True
def _handle_list(args: List[str]) -> bool:
result = list_capsules(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
capsules = result["capsules"]
if not capsules:
console.print("\n[dim]No time capsules exist yet. Seal one with: commons capsule[/dim]\n")
return True
table = Table(title="Time Capsules", border_style="magenta")
table.add_column("ID", style="dim", width=5)
table.add_column("Title", style="bold")
table.add_column("Creator", style="dim")
table.add_column("Status")
table.add_column("Opens At", style="dim")
for capsule in capsules:
status = capsule["_status"]
status_text = capsule["_status_text"]
if status == "opened":
styled_status = f"[green]{status_text}[/green]"
elif status == "ready":
styled_status = f"[yellow]{status_text}[/yellow]"
else:
styled_status = f"[dim]{status_text}[/dim]"
table.add_row(
str(capsule["id"]),
capsule["title"],
capsule["creator"],
styled_status,
capsule["opens_at"][:10],
)
console.print()
console.print(table)
console.print(f"\n[dim]Total: {len(capsules)} capsule(s)[/dim]\n")
return True
def _handle_open(args: List[str]) -> bool:
result = open_capsule(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
capsule = result["capsule"]
if result.get("already_opened"):
console.print()
console.print(Panel(
f"[bold]{capsule['title']}[/bold]\n\n"
f"{capsule['content']}\n\n"
f"[dim]Sealed by {capsule['creator']} | "
f"Opened by {capsule['opened_by']}[/dim]",
title=f"Time Capsule #{capsule['id']} (Already Opened)",
border_style="green",
))
console.print()
else:
console.print()
console.print(Panel(
f"[bold]{capsule['title']}[/bold]\n\n"
f"{capsule['content']}\n\n"
f"[dim]Sealed by {capsule['creator']} on {capsule.get('sealed_at', '')[:10]}[/dim]\n"
f"[dim]Opened by {result['opener']}[/dim]",
title=f"Time Capsule #{capsule['id']} - Opened!",
border_style="green",
))
console.print()
return True
+163
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@@ -0,0 +1,163 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: catchup_module.py - Catchup Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Catchup Orchestration Module
Thin router for the catchup command. Delegates query logic
to handlers/catchup/catchup_ops.py and renders results with Rich.
Handles: catchup command.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.catchup_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from commons.apps.handlers.catchup.catchup_ops import run_catchup
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle catchup-related commands.
Args:
command: Command name (catchup)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command != "catchup":
return False
return _handle_catchup(args)
# =============================================================================
# DISPLAY HANDLER
# =============================================================================
def _handle_catchup(args: List[str]) -> bool:
"""Run catchup and display results."""
result = run_catchup(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
is_first_visit = result["is_first_visit"]
time_label = result["time_label"]
data = result["data"]
console.print()
if is_first_visit:
console.print(
"[bold cyan]Welcome to The Commons![/bold cyan] "
"[dim]Here's what's happening:[/dim]"
)
else:
console.print(
f"[bold cyan]Since your last visit[/bold cyan] "
f"[dim]({time_label}):[/dim]"
)
console.print()
# Mentions
unread_mentions = data["unread_mentions"]
if unread_mentions:
for mention in unread_mentions:
mentioner = mention.get("mentioner_agent", "someone")
post_title = mention.get("post_title", "a post")
room = mention.get("room_name", "unknown")
console.print(
f" [yellow]@MENTIONS:[/yellow] {mentioner} mentioned you "
f'in "{post_title}" ({room})'
)
else:
console.print(" [yellow]@MENTIONS:[/yellow] [dim]None[/dim]")
# Replies
replies = data["replies"]
if replies:
reply_posts: dict = {}
for r in replies:
pid = r.get("post_id")
if pid not in reply_posts:
reply_posts[pid] = {
"title": r.get("post_title", "Unknown"),
"count": 0,
}
reply_posts[pid]["count"] += 1
for _pid, info in reply_posts.items():
console.print(
f" [green]REPLIES:[/green] {info['count']} new comment(s) "
f'on your post "{info["title"]}"'
)
else:
console.print(" [green]REPLIES:[/green] [dim]None[/dim]")
# Trending
trending = data["trending"]
if trending and trending["vote_score"] > 0:
console.print(
f" [bold cyan]TRENDING:[/bold cyan] "
f'"{trending["title"]}" has {trending["vote_score"]} votes '
f'in {trending["room_name"]}'
)
else:
console.print(" [bold cyan]TRENDING:[/bold cyan] [dim]Nothing trending right now[/dim]")
# New activity
console.print(
f" [blue]NEW:[/blue] {data['new_posts_count']} new post(s), "
f"{data['new_comments_count']} new comment(s)"
)
# Karma
karma_change = data["karma_change"]
if karma_change > 0:
console.print(f" [green]KARMA:[/green] +{karma_change} since last session")
elif karma_change < 0:
console.print(f" [red]KARMA:[/red] {karma_change} since last session")
else:
console.print(" [dim]KARMA:[/dim] [dim]No change[/dim]")
console.print()
# Onboarding nudge
nudge = result.get("nudge")
if nudge:
console.print(f" [yellow]TIP:[/yellow] {nudge}")
console.print()
return True
@@ -0,0 +1,70 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: central_module.py - Central File Push Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system for AIPass public framework
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# =============================================
"""
Central File Push Module
Thin router for the push-central command. Delegates to
handlers/central/central_writer.py to aggregate commons stats
and write COMMONS.central.json.
Handles: push-central command.
"""
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.central_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from commons.apps.handlers.central.central_writer import update_central
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle central file push commands.
Args:
command: Command name (push-central)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command != "push-central":
return False
try:
stats = update_central()
branch_count = len(stats.get("branch_stats", {}))
console.print(f"[green]Central file updated:[/green] {branch_count} branches")
return True
except Exception as e:
logger.error(f"[commons] push-central failed: {e}")
console.print(f"[red]Error:[/red] {e}")
return True
+115
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@@ -0,0 +1,115 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: comment_module.py - Comment orchestration module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Comment Orchestration Module
Thin router for comment and vote workflows. Delegates all implementation
to handlers/comments/comment_ops.py and renders the results.
Handles: comment, vote commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.comment_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from commons.apps.handlers.comments.comment_ops import add_comment, vote_on_content
from commons.apps.handlers.identity.identity_ops import resolve_display_name
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle comment and vote commands.
Args:
command: Command name (comment, vote).
args: Command arguments.
Returns:
True if command handled, False otherwise.
"""
if command == "comment":
return _handle_comment(args)
elif command == "vote":
return _handle_vote(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_comment(args: List[str]) -> bool:
"""Add a comment and display the result."""
result = add_comment(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
parent_note = f" (reply to comment {result['parent_id']})" if result.get("parent_id") else ""
console.print()
console.print(f"[green]Comment added to post {result['post_id']}{parent_note}[/green]")
console.print(f" [dim]Comment ID:[/dim] {result['comment_id']}")
console.print(f" [dim]Author:[/dim] {resolve_display_name(result['author'])}")
if result.get("mentions"):
console.print(f" [dim]Mentions:[/dim] {', '.join(f'@{m}' for m in result['mentions'])}")
console.print()
return True
def _handle_vote(args: List[str]) -> bool:
"""Vote on content and display the result."""
result = vote_on_content(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
action_msg = {
"voted": f"Voted {result['direction']}",
"changed": f"Changed vote to {result['direction']}",
"removed": "Vote removed",
}.get(result["action"], result["action"])
arrow = "^" if result["direction"] == "up" else "v"
console.print()
console.print(
f"[green]{arrow} {action_msg} on {result['target_type']} "
f"{result['target_id']}[/green] [dim](score: {result['new_score']})[/dim]"
)
console.print()
return True
@@ -0,0 +1,48 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: commons_identity.py - Branch identity detection module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Thin wrapper re-exporting from handlers/identity/identity_ops.py
# - Maintains backward compatibility for all importers
# - No sys.path manipulation
# =============================================
"""
Branch Identity Detection for The Commons
Thin wrapper that re-exports identity functions from
handlers/identity/identity_ops.py for backward compatibility.
Usage:
from commons.apps.modules.commons_identity import get_caller_branch
"""
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.identity")
# Re-export all public functions for backward compatibility
from commons.apps.handlers.identity.identity_ops import (
find_branch_root,
get_branch_info_from_registry,
get_caller_branch,
extract_mentions,
resolve_display_name,
)
__all__ = [
"find_branch_root",
"get_branch_info_from_registry",
"get_caller_branch",
"extract_mentions",
"resolve_display_name",
]
+151
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@@ -0,0 +1,151 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: digest_module.py - Digest Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Digest Orchestration Module
Thin router for community digest workflows. Delegates query logic
to handlers/digest/digest_ops.py and renders results with Rich.
Handles: digest command.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.digest_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.panel import Panel
from commons.apps.handlers.digest.digest_ops import show_digest
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle digest-related commands.
Args:
command: Command name (digest)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command != "digest":
return False
return _handle_digest(args)
# =============================================================================
# DISPLAY HANDLER
# =============================================================================
def _handle_digest(args: List[str]) -> bool:
"""Query digest and display results."""
result = show_digest(args)
if not result["success"]:
console.print(f"[red]Failed to generate digest: {result['error']}[/red]")
return True
top_posts = result["top_posts"]
active_branches = result["active_branches"]
new_branches = result["new_branches"]
totals = result["totals"]
console.print()
# Header
console.print(Panel(
"[bold]Community Activity Digest[/bold]\n"
"[dim]Last 24 hours[/dim]",
border_style="cyan",
expand=False,
))
console.print()
# Activity totals
console.print(
f" [bold cyan]Activity:[/bold cyan] "
f"{totals['total_posts']} posts, "
f"{totals['total_comments']} comments"
)
console.print()
# Top posts
if top_posts:
console.print("[bold cyan]Top Posts by Engagement:[/bold cyan]")
console.print()
for i, post in enumerate(top_posts, 1):
engagement = post["engagement_count"]
console.print(
f" [bold]{i}.[/bold] "
f'[yellow]#{post["id"]}[/yellow] "{post["title"]}" '
f'by [green]{post["author"]}[/green] in r/{post["room_name"]}'
)
console.print(
f" {engagement} engagements "
f'({post["vote_count"]} votes, '
f'{post["comment_count"]} comments, '
f'{post["reaction_count"]} reactions)'
)
console.print()
else:
console.print("[dim] No posts with engagement in the last 24h[/dim]")
console.print()
# Most active branches
if active_branches:
console.print("[bold cyan]Most Active Branches:[/bold cyan]")
console.print()
for branch in active_branches:
console.print(
f" [green]{branch['agent']}[/green] - "
f"{branch['total_activity']} actions "
f"({branch['post_count']} posts, {branch['comment_count']} comments)"
)
console.print()
else:
console.print("[dim] No branch activity in the last 24h[/dim]")
console.print()
# New branches
if new_branches:
console.print("[bold cyan]New Branches:[/bold cyan]")
console.print()
for name in new_branches:
console.print(f" [green]+[/green] {name}")
console.print()
else:
console.print("[dim] No new branches in the last 24h[/dim]")
console.print()
return True
@@ -0,0 +1,114 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: engagement_module.py - Engagement Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Engagement Orchestration Module
Thin router for community engagement workflows. Delegates all
implementation to handlers/engagement/engagement_ops.py and
renders results with Rich.
Handles: prompt, event commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.engagement_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from commons.apps.handlers.engagement.engagement_ops import generate_prompt, create_event
# =============================================================================
# COMMAND ROUTING
# =============================================================================
HANDLED_COMMANDS = ["prompt", "event"]
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle engagement-related commands.
Args:
command: Command name (prompt, event)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command not in HANDLED_COMMANDS:
return False
if command == "prompt":
return _handle_prompt(args)
elif command == "event":
return _handle_event(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_prompt(args: List[str]) -> bool:
"""Generate a daily prompt and display result."""
result = generate_prompt(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
console.print("[green]Daily prompt posted![/green]")
console.print(f" [dim]ID:[/dim] {result['post_id']}")
console.print(f" [dim]Room:[/dim] r/{result['room']}")
console.print(f" [dim]Theme:[/dim] {result['theme']}")
console.print(f" [dim]Author:[/dim] {result['author']}")
console.print()
return True
def _handle_event(args: List[str]) -> bool:
"""Create an event and display result."""
result = create_event(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
console.print("[green]Event created![/green]")
console.print(f" [dim]ID:[/dim] {result['post_id']}")
console.print(f" [dim]Room:[/dim] r/{result['room']}")
console.print(f" [dim]Title:[/dim] {result['title']}")
console.print(f" [dim]Type:[/dim] announcement")
console.print(f" [dim]Author:[/dim] {result['author']}")
console.print()
return True
+141
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@@ -0,0 +1,141 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: explore_module.py - Exploration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Exploration Module
Router + display layer for secret room exploration commands. Delegates
all logic to handlers/rooms/explore_ops.py and renders results with Rich.
Handles: explore, secrets commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.explore_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.panel import Panel
from rich.table import Table
from commons.apps.handlers.rooms.explore_ops import explore_rooms, list_secrets
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""Handle exploration commands."""
if command not in ["explore", "secrets"]:
return False
if command == "explore":
return _handle_explore(args)
elif command == "secrets":
return _handle_secrets(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_explore(args: List[str]) -> bool:
result = explore_rooms(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
hidden_rooms = result["hidden_rooms"]
rooms_visited = result["rooms_visited"]
if not hidden_rooms:
console.print("\n[dim]No hidden rooms exist... yet.[/dim]\n")
return True
console.print()
console.print(Panel(
"[italic]You sense something beyond the ordinary rooms...[/italic]\n\n"
"[dim]Hidden places exist in The Commons. "
"Those who explore widely may discover their names.[/dim]",
title="[bold]Exploration[/bold]",
border_style="magenta",
))
console.print()
console.print("[bold]Whispered Hints:[/bold]")
console.print()
for room in hidden_rooms:
hint = room.get("discovery_hint") or "..."
console.print(f" [magenta]?[/magenta] [italic]{hint}[/italic]")
console.print()
revealed = result.get("revealed")
if revealed:
console.print(f"[green]Your exploration has paid off! You've visited {rooms_visited} rooms.[/green]")
console.print(f"[green]A secret room reveals itself:[/green] [bold magenta]r/{revealed['name']}[/bold magenta]")
console.print(f" [dim]{revealed['description']}[/dim]")
console.print()
console.print(f"[dim]Try: commons enter {revealed['name']}[/dim]")
else:
remaining = 3 - rooms_visited
console.print(f"[dim]You've visited {rooms_visited} room(s). Visit {remaining} more to unlock a discovery...[/dim]")
console.print()
return True
def _handle_secrets(args: List[str]) -> bool:
result = list_secrets(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
discovered = result["discovered"]
total_hidden = result["total_hidden"]
console.print()
if not discovered:
console.print("[dim]You haven't discovered any secret rooms yet.[/dim]")
console.print(f"[dim]There are {total_hidden} secret room(s) waiting to be found.[/dim]")
console.print("[dim]Try: commons explore[/dim]")
else:
table = Table(title="Your Discovered Secrets", border_style="magenta")
table.add_column("Room", style="bold magenta")
table.add_column("Name", style="bold")
table.add_column("Description", style="dim")
for room in discovered:
table.add_row(f"r/{room['name']}", room["display_name"], room["description"])
console.print(table)
console.print(f"\n[dim]Discovered {len(discovered)} of {total_hidden} secret room(s)[/dim]")
console.print()
return True
+156
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@@ -0,0 +1,156 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: feed_module.py - Feed orchestration module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Feed Orchestration Module
Thin router for feed display. Delegates query logic to
handlers/feed/feed_ops.py and renders the results as a Rich table.
Handles: feed command with hot/new/top/activity sorting.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.feed_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.table import Table
from commons.apps.handlers.feed.feed_ops import display_feed, format_time_ago
from commons.apps.handlers.identity.identity_ops import resolve_display_name
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle feed-related commands.
Args:
command: Command name (feed).
args: Command arguments.
Returns:
True if command handled, False otherwise.
"""
if command != "feed":
return False
return _handle_feed(args)
# =============================================================================
# DISPLAY HANDLER
# =============================================================================
def _handle_feed(args: List[str]) -> bool:
"""Query the feed and render as a Rich table."""
result = display_feed(args)
if not result["success"]:
console.print(f"[red]Feed error: {result['error']}[/red]")
return True
posts = result["posts"]
total = result["total"]
sort = result["sort"]
room_name = result.get("room")
limit = result["limit"]
offset = result["offset"]
# Header
console.print()
if room_name:
console.print(f"[bold cyan]r/{room_name}[/bold cyan] [dim]| {sort} | {total} posts[/dim]")
else:
console.print(f"[bold cyan]The Commons[/bold cyan] [dim]| {sort} | {total} posts[/dim]")
console.print()
if not posts:
console.print("[dim] No posts yet. Be the first to post![/dim]")
console.print()
return True
# Build table
table = Table(show_header=True, header_style="bold", expand=False, padding=(0, 1))
table.add_column("ID", style="dim", width=5, justify="right")
table.add_column("Score", width=6, justify="center")
table.add_column("Title", min_width=30)
table.add_column("Room", style="cyan", width=12)
table.add_column("Author", style="green", width=14)
table.add_column("Comments", width=8, justify="center")
table.add_column("Active", style="dim", width=10)
table.add_column("Type", style="dim", width=12)
for post in posts:
score = post["vote_score"]
if score > 0:
score_str = f"[green]+{score}[/green]"
elif score < 0:
score_str = f"[red]{score}[/red]"
else:
score_str = "[dim]0[/dim]"
title = post["title"]
pinned = post.get("pinned", 0)
if pinned:
title = f"[bold yellow]PIN[/bold yellow] {title}"
if len(title) > 50:
title = title[:47] + "..."
last_activity = post.get("last_activity", "")
active_str = format_time_ago(last_activity) if last_activity else "[dim]--[/dim]"
table.add_row(
str(post["id"]),
score_str,
title,
post["room_name"],
resolve_display_name(post["author"]),
str(post["comment_count"]),
active_str,
post["post_type"],
)
console.print(table)
console.print()
page_info = ""
if offset > 0 or len(posts) < total:
current_page = (offset // limit) + 1
total_pages = (total + limit - 1) // limit
page_info = f" | page {current_page}/{total_pages}"
console.print(
f"[dim]Showing {len(posts)} of {total} posts{page_info} | "
f"commons thread <id> for details[/dim]"
)
console.print()
return True
@@ -0,0 +1,130 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: leaderboard_module.py - Leaderboard Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Leaderboard Module
Thin router for leaderboard commands. Delegates all query logic
to handlers/social/leaderboard_ops.py and renders results as Rich tables.
Handles: leaderboard, leaderboards commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.leaderboard_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.table import Table
from commons.apps.handlers.social.leaderboard_ops import show_leaderboard, VALID_CATEGORIES
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle leaderboard commands.
Args:
command: Command name (leaderboard, leaderboards)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command not in ("leaderboard", "leaderboards"):
return False
return _handle_leaderboard(args)
# =============================================================================
# DISPLAY HANDLER
# =============================================================================
BOARD_TITLES = {
"artifacts": "Most Artifacts",
"trades": "Most Trades",
"posts": "Most Posts",
"rooms": "Most Active Rooms (7 days)",
"karma": "Top Karma",
}
BOARD_COLUMNS = {
"artifacts": ("Branch", "Artifacts"),
"trades": ("Branch", "Trades/Gifts"),
"posts": ("Branch", "Posts"),
"rooms": ("Room", "Posts (7d)"),
"karma": ("Branch", "Karma"),
}
def _handle_leaderboard(args: List[str]) -> bool:
"""Query leaderboard data and render as Rich tables."""
result = show_leaderboard(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
boards = result["boards"]
console.print()
console.print("[bold cyan]--- Leaderboards ---[/bold cyan]")
console.print()
for category in VALID_CATEGORIES:
if category not in boards:
continue
rows = boards[category]
title = BOARD_TITLES[category]
name_col, count_col = BOARD_COLUMNS[category]
if not rows:
console.print(f"[dim]No data for {title.lower()}.[/dim]")
console.print()
continue
table = Table(title=title, border_style="cyan")
table.add_column("Rank", style="dim", width=5)
table.add_column(name_col, style="bold")
table.add_column(count_col, justify="right")
for i, row in enumerate(rows, 1):
if category == "rooms":
name = f"r/{row['room']}"
else:
name = row["branch"]
table.add_row(str(i), name, str(row["count"]))
console.print(table)
console.print()
return True
@@ -0,0 +1,147 @@
# ===================AIPASS====================
# META DATA HEADER
# Name: notification_module.py - Notification Preferences Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Notification Preferences Module
Thin router for notification preference commands. Delegates all
implementation to handlers/notifications/notification_ops.py
and renders results with Rich.
Handles: watch, mute, track, preferences commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.notification_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from commons.apps.handlers.notifications.notification_ops import (
set_watch,
set_mute,
set_track,
show_preferences,
)
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle notification preference commands.
Args:
command: Command name (watch, mute, track, preferences)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command not in ("watch", "mute", "track", "preferences"):
return False
if command == "watch":
return _handle_level(set_watch(args), "watch")
elif command == "mute":
return _handle_level(set_mute(args), "mute")
elif command == "track":
return _handle_level(set_track(args), "track")
elif command == "preferences":
return _handle_preferences(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
LEVEL_LABELS = {
"watch": ("watching", "cyan", "All activity notifications"),
"track": ("tracking", "green", "Mentions and replies only"),
"mute": ("muted", "red", "No notifications"),
}
def _handle_level(result: dict, level: str) -> bool:
"""Display the result of setting a notification level."""
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
label, color, description = LEVEL_LABELS[level]
console.print()
console.print(
f"[{color}]Now {label} {result['target_type']} "
f"'{result['target_id']}'[/{color}]"
)
console.print(f" [dim]{description}[/dim]")
console.print()
return True
def _handle_preferences(args: List[str]) -> bool:
"""Display all notification preferences for the caller."""
result = show_preferences(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
prefs = result["preferences"]
agent_name = result["agent"]
console.print()
console.print(f"[bold cyan]Notification Preferences for {agent_name}[/bold cyan]")
console.print()
if not prefs:
console.print(" [dim]No custom preferences set. All targets use default (track).[/dim]")
console.print(" [dim]Track = notified of @mentions and direct replies only.[/dim]")
else:
level_colors = {
"watch": "cyan",
"track": "green",
"mute": "red",
}
for pref in prefs:
pref_level = pref["level"]
color = level_colors.get(pref_level, "white")
console.print(
f" [{color}]{pref_level.upper()}[/{color}] "
f"{pref['target_type']} '{pref['target_id']}' "
f"[dim](since {pref['created_at']})[/dim]"
)
console.print()
console.print("[dim]Levels: watch (all activity) | track (mentions/replies) | mute (nothing)[/dim]")
console.print("[dim]Default for all targets: track[/dim]")
console.print()
return True
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# ===================AIPASS====================
# META DATA HEADER
# Name: post_module.py - Post orchestration module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Post Orchestration Module
Thin router for post workflows. Delegates all implementation
to handlers/posts/post_ops.py and renders the results.
Handles: post, thread, delete commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.post_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.panel import Panel
from rich.text import Text
from commons.apps.handlers.posts.post_ops import create_post, view_thread, delete_post
from commons.apps.handlers.identity.identity_ops import resolve_display_name
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle post-related commands.
Args:
command: Command name (post, thread, delete).
args: Command arguments.
Returns:
True if command handled, False otherwise.
"""
if command == "post":
return _handle_create_post(args)
elif command == "thread":
return _handle_view_thread(args)
elif command == "delete":
return _handle_delete_post(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_create_post(args: List[str]) -> bool:
"""Create a post and display the result."""
result = create_post(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
console.print(f"[green]Post created in r/{result['room']}[/green]")
console.print(f" [dim]ID:[/dim] {result['post_id']}")
console.print(f" [dim]Title:[/dim] {result['title']}")
console.print(f" [dim]Type:[/dim] {result['post_type']}")
console.print(f" [dim]Author:[/dim] {resolve_display_name(result['author'])}")
if result.get("mentions"):
console.print(f" [dim]Mentions:[/dim] {', '.join(f'@{m}' for m in result['mentions'])}")
console.print()
return True
def _handle_view_thread(args: List[str]) -> bool:
"""View a thread and display post with comments."""
result = view_thread(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
post = result["post"]
comments = result["comments"]
# Display the post
console.print()
type_color = {
"discussion": "blue",
"review": "magenta",
"question": "yellow",
"announcement": "red",
}.get(post["post_type"], "white")
header_text = Text()
header_text.append(f"[{post['post_type']}] ", style=type_color)
header_text.append(post["title"], style="bold")
console.print(Panel(
f"{post['content']}\n\n"
f"[dim]By {resolve_display_name(post['author'])} in r/{post['room_name']} | "
f"Score: {post['vote_score']} | "
f"{post['created_at']}[/dim]",
title=header_text,
border_style="cyan",
))
if not comments:
console.print("[dim] No comments yet.[/dim]")
console.print()
return True
# Build threaded display
console.print(f"\n[bold]Comments ({len(comments)}):[/bold]")
console.print()
top_level = [c for c in comments if c["parent_id"] is None]
children_map: dict = {}
for c in comments:
if c["parent_id"] is not None:
children_map.setdefault(c["parent_id"], []).append(c)
def _print_comment(comment: dict, depth: int = 0) -> None:
indent = " " * depth
prefix = "|" if depth > 0 else ""
score = comment["vote_score"]
if score > 0:
score_str = f"[green]{score}[/green]"
elif score < 0:
score_str = f"[red]{score}[/red]"
else:
score_str = f"[dim]{score}[/dim]"
console.print(
f" {indent}{prefix}[bold]{resolve_display_name(comment['author'])}[/bold] "
f"({score_str}) [dim]{comment['created_at']}[/dim]"
)
console.print(f" {indent}{prefix} {comment['content']}")
console.print()
for child in children_map.get(comment["id"], []):
_print_comment(child, depth + 1)
for comment in top_level:
_print_comment(comment)
return True
def _handle_delete_post(args: List[str]) -> bool:
"""Delete a post and display the result."""
result = delete_post(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print(f"[green]Post {result['post_id']} deleted.[/green]")
return True
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# ===================AIPASS====================
# META DATA HEADER
# Name: profile_module.py - Social Profile Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Social Profile Orchestration Module
Thin router for profile viewing/editing and member listing.
Delegates query logic to handlers/profiles/profile_ops.py
and renders results with Rich.
Handles: profile, who commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.profile_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.panel import Panel
from commons.apps.handlers.profiles.profile_ops import show_profile, list_members
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle profile and who commands.
Args:
command: Command name (profile, who)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command == "profile":
return _handle_profile(args)
elif command == "who":
return _handle_who(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_profile(args: List[str]) -> bool:
"""Display or update a profile."""
result = show_profile(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
if result["action"] == "set":
console.print(f"[green]Updated {result['field']} for {result['branch']}[/green]")
return True
# View profile
profile = result["profile"]
branch_name = profile["branch_name"]
description = profile.get("description", "")
display_name = profile.get("display_name", branch_name)
bio = profile.get("bio", "") or ""
status_val = profile.get("status", "") or ""
role_val = profile.get("role", "") or ""
karma = profile.get("karma", 0)
post_count = profile.get("post_count", 0)
comment_count = profile.get("comment_count", 0)
title_line = f"{branch_name} - {description}" if description else f"{branch_name} - {display_name}"
lines = [""]
lines.append(f" Bio: {bio}" if bio else " Bio: [dim]not set[/dim]")
lines.append(f" Status: {status_val}" if status_val else " Status: [dim]not set[/dim]")
lines.append(f" Role: {role_val}" if role_val else " Role: [dim]not set[/dim]")
lines.append("")
lines.append(f" Posts: {post_count} Comments: {comment_count} Karma: {karma}")
lines.append(f" Joined: {profile['joined_display']} Last active: {profile['last_active_display']}")
lines.append("")
console.print()
console.print(Panel("\n".join(lines), title=f" {title_line} ", border_style="cyan"))
console.print()
return True
def _handle_who(args: List[str]) -> bool:
"""List all members."""
result = list_members(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
agents = result["agents"]
if not agents:
console.print("[dim]No agents registered.[/dim]")
return True
console.print()
console.print("[bold]Who's in The Commons:[/bold]")
console.print()
for agent in agents:
name = agent["branch_name"]
status_text = agent.get("status", "") or ""
role_text = agent.get("role", "") or ""
karma_val = agent.get("karma", 0)
status_display = f"[{status_text}]" if status_text else "[dim]no status[/dim]"
if not role_text:
role_text = "[dim]--[/dim]"
console.print(f" {name:<14}{status_display:<30}{role_text:<25}karma: {karma_val}")
console.print()
return True
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# ===================AIPASS====================
# META DATA HEADER
# Name: reaction_module.py - Curation Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Curation Orchestration Module
Thin router for thread curation and engagement workflows.
Delegates all implementation to handlers/curation/curation_ops.py
and renders results with Rich.
Handles: react, unreact, reactions, pin, unpin, pinned, trending commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.reaction_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from commons.apps.handlers.curation.curation_ops import (
add_react,
remove_react,
show_reactions,
pin_post_cmd,
unpin_post_cmd,
show_pinned,
show_trending,
)
from commons.apps.handlers.curation.reaction_queries import (
REACTION_EMOJI,
VALID_REACTIONS,
)
# =============================================================================
# COMMAND ROUTING
# =============================================================================
HANDLED_COMMANDS = ["react", "unreact", "reactions", "pin", "unpin", "pinned", "trending"]
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle curation-related commands.
Args:
command: Command name
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command not in HANDLED_COMMANDS:
return False
if command == "react":
return _handle_react(args)
elif command == "unreact":
return _handle_unreact(args)
elif command == "reactions":
return _handle_reactions(args)
elif command == "pin":
return _handle_pin(args)
elif command == "unpin":
return _handle_unpin(args)
elif command == "pinned":
return _handle_pinned(args)
elif command == "trending":
return _handle_trending(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_react(args: List[str]) -> bool:
"""Add a reaction and display result."""
result = add_react(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
emoji = result["emoji"]
if result["is_new"]:
console.print()
console.print(
f"[green]{emoji} Reacted with {result['reaction']} on "
f"{result['target_type']} {result['target_id']}[/green]"
)
console.print()
else:
console.print(
f"[yellow]Already reacted with {result['reaction']} on "
f"{result['target_type']} {result['target_id']}[/yellow]"
)
return True
def _handle_unreact(args: List[str]) -> bool:
"""Remove a reaction and display result."""
result = remove_react(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
emoji = result["emoji"]
if result["removed"]:
console.print()
console.print(
f"[green]{emoji} Removed {result['reaction']} from "
f"{result['target_type']} {result['target_id']}[/green]"
)
console.print()
else:
console.print(
f"[yellow]No {result['reaction']} reaction found on "
f"{result['target_type']} {result['target_id']}[/yellow]"
)
return True
def _handle_reactions(args: List[str]) -> bool:
"""Show reactions on a target."""
result = show_reactions(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
detailed = result["reactions"]
console.print()
if not detailed:
console.print(f"[dim]No reactions on {result['target_type']} #{result['target_id']}[/dim]")
else:
console.print(f"[bold]Reactions on {result['target_type']} #{result['target_id']}:[/bold]")
for reaction_type in VALID_REACTIONS:
if reaction_type in detailed:
agents = detailed[reaction_type]
emoji = REACTION_EMOJI[reaction_type]
agents_str = ", ".join(agents)
console.print(f" {emoji} {len(agents)} ({agents_str})")
console.print()
return True
def _handle_pin(args: List[str]) -> bool:
"""Pin a post and display result."""
result = pin_post_cmd(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
console.print(f'[green]Pinned post #{result["post_id"]} "{result["title"]}"[/green]')
console.print()
return True
def _handle_unpin(args: List[str]) -> bool:
"""Unpin a post and display result."""
result = unpin_post_cmd(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
console.print(f'[green]Unpinned post #{result["post_id"]} "{result["title"]}"[/green]')
console.print()
return True
def _handle_pinned(args: List[str]) -> bool:
"""Show pinned posts."""
result = show_pinned(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
posts = result["posts"]
room_name = result.get("room")
console.print()
if not posts:
if room_name:
console.print(f"[dim]No pinned posts in r/{room_name}[/dim]")
else:
console.print("[dim]No pinned posts[/dim]")
else:
console.print("[bold]Pinned Posts:[/bold]")
for post in posts:
score_str = f"+{post['vote_score']}" if post["vote_score"] >= 0 else str(post["vote_score"])
console.print(
f' [cyan]PIN[/cyan] #{post["id"]} "{post["title"]}" '
f'by {post["author"]} in r/{post["room_name"]} [{score_str}]'
)
console.print()
return True
def _handle_trending(args: List[str]) -> bool:
"""Show trending posts."""
result = show_trending(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
posts = result["posts"]
console.print()
if not posts:
console.print("[dim]Nothing trending right now[/dim]")
else:
console.print("[bold]Trending Now:[/bold]")
for post in posts:
console.print(
f' [bold red]TREND[/bold red] #{post["id"]} "{post["title"]}" '
f'by {post["author"]} in r/{post["room_name"]}'
)
console.print(
f' {post["engagement_count"]} engagements '
f'({post["vote_count"]} votes, {post["comment_count"]} comments, '
f'{post["reaction_count"]} reactions)'
)
console.print()
return True
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# ===================AIPASS====================
# META DATA HEADER
# Name: room_module.py - Room management orchestration module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Room Management Module
Thin router for room management. Delegates all implementation
to handlers/rooms/room_ops.py and renders the results.
Handles: room create, room list, room join commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.room_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.table import Table
from commons.apps.handlers.rooms.room_ops import create_room, list_rooms, join_room
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle room-related commands.
Args:
command: Command name (room).
args: Command arguments (subcommand + params).
Returns:
True if command handled, False otherwise.
"""
if command != "room":
return False
if not args:
return _handle_list_rooms([])
subcommand = args[0].lower()
sub_args = args[1:]
if subcommand == "create":
return _handle_create_room(sub_args)
elif subcommand == "list":
return _handle_list_rooms(sub_args)
elif subcommand == "join":
return _handle_join_room(sub_args)
else:
console.print(f"[red]Unknown room subcommand: {subcommand}[/red]")
console.print("[dim]Available: create, list, join[/dim]")
return True
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_create_room(args: List[str]) -> bool:
"""Create a room and display the result."""
result = create_room(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
console.print(f"[green]Room '{result['name']}' created![/green]")
if result.get("description"):
console.print(f" [dim]Description:[/dim] {result['description']}")
console.print(f" [dim]Created by:[/dim] {result['created_by']}")
console.print()
return True
def _handle_list_rooms(args: List[str]) -> bool:
"""List rooms and display as a Rich table."""
result = list_rooms(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
rooms = result["rooms"]
console.print()
console.print(f"[bold cyan]Rooms in The Commons[/bold cyan] [dim]({len(rooms)} rooms)[/dim]")
console.print()
if not rooms:
console.print("[dim] No rooms yet. Create one with: room create <name> [description][/dim]")
console.print()
return True
table = Table(show_header=True, header_style="bold", expand=False, padding=(0, 1))
table.add_column("Room", style="cyan", min_width=15)
table.add_column("Description", min_width=30)
table.add_column("Members", width=8, justify="center")
table.add_column("Posts", width=8, justify="center")
for room in rooms:
table.add_row(
room["name"],
room.get("description", "") or "[dim]--[/dim]",
str(room.get("member_count", 0)),
str(room.get("post_count", 0)),
)
console.print(table)
console.print()
return True
def _handle_join_room(args: List[str]) -> bool:
"""Join a room and display the result."""
result = join_room(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
console.print(f"[green]{result['agent']} joined room '{result['room']}'![/green]")
console.print()
return True
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# ===================AIPASS====================
# META DATA HEADER
# Name: search_module.py - Search & Log Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Search & Log Orchestration Module
Thin router for search and log export workflows. Delegates query logic
to handlers/search/search_ops.py and renders results with Rich.
Handles: search, log commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.search_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from commons.apps.handlers.search.search_ops import run_search, run_log_export
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle search and log commands.
Args:
command: Command name (search, log)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command == "search":
return _handle_search(args)
elif command == "log":
return _handle_log(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_search(args: List[str]) -> bool:
"""Run search and display results."""
result = run_search(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
posts = result["posts"]
comments_list = result["comments"]
query = result["query"]
console.print()
console.print(
f"[bold]Search:[/bold] \"{query}\" "
f"({len(posts)} post{'s' if len(posts) != 1 else ''}, "
f"{len(comments_list)} comment{'s' if len(comments_list) != 1 else ''})"
)
console.print()
if posts:
console.print("[bold]Posts:[/bold]")
for post in posts:
snippet = post.get("content_snippet", "")
if len(snippet) > 60:
snippet = snippet[:60] + "..."
score = post["vote_score"]
score_str = f"+{score}" if score >= 0 else str(score)
console.print(
f" #{post['id']} [{score_str}] \"{post['title']}\" "
f"by {post['author']} in r/{post['room_name']}"
)
console.print(f" [dim]{snippet}[/dim]")
console.print()
if comments_list:
console.print("[bold]Comments:[/bold]")
for comment in comments_list:
snippet = comment.get("content_snippet", "")
if len(snippet) > 60:
snippet = snippet[:60] + "..."
score = comment["vote_score"]
score_str = f"+{score}" if score >= 0 else str(score)
console.print(
f" On post #{comment['post_id']} \"{comment['post_title']}\":",
)
console.print(
f" {comment['author']}: {snippet} [{score_str}]"
)
console.print()
if not posts and not comments_list:
console.print("[dim]No results found.[/dim]")
console.print()
return True
def _handle_log(args: List[str]) -> bool:
"""Run log export and display results."""
result = run_log_export(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
console.print(result["log_text"])
console.print()
return True
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# ===================AIPASS====================
# META DATA HEADER
# Name: space_module.py - Spatial Navigation Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration and rendering
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Spatial Navigation Module
Router + renderer for spatial room commands.
Delegates data retrieval to handlers/rooms/space_ops.py.
Handles: enter, look, decorate, visitors commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.space_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.panel import Panel
from commons.apps.handlers.rooms.space_ops import (
get_room_enter_data,
get_room_look_data,
place_decoration,
get_visitors_data,
)
from commons.apps.modules.commons_identity import get_caller_branch
# =============================================================================
# MOOD DISPLAY HELPERS
# =============================================================================
MOOD_STYLES = {
"welcoming": ("green", "~"),
"relaxed": ("blue", "~"),
"focused": ("yellow", "|"),
"neutral": ("dim", "-"),
"tense": ("red", "!"),
"celebratory": ("magenta", "*"),
}
def _mood_style(mood: str) -> str:
"""Return Rich color for a mood string."""
return MOOD_STYLES.get(mood, ("dim", "-"))[0]
def _mood_icon(mood: str) -> str:
"""Return a text icon for a mood string."""
return MOOD_STYLES.get(mood, ("dim", "-"))[1]
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle spatial navigation commands.
Args:
command: Command name (enter, look, decorate, visitors)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command not in ["enter", "look", "decorate", "visitors"]:
return False
if command == "enter":
return _cmd_enter(args)
elif command == "look":
return _cmd_look(args)
elif command == "decorate":
return _cmd_decorate(args)
elif command == "visitors":
return _cmd_visitors(args)
return False
# =============================================================================
# ENTER
# =============================================================================
def _cmd_enter(args: List[str]) -> bool:
"""Enter a room -- render entrance panel with mood, flavor, decorations."""
if not args:
console.print("[red]Usage: commons enter <room>[/red]")
return True
room_name = args[0].lower()
data = get_room_enter_data(room_name)
if data.get("error"):
console.print(f"[red]{data['error']}[/red]")
return True
if not data["found"]:
console.print(f"[red]Room '{room_name}' not found[/red]")
return True
room = data["room"]
mood = room.get("mood") or "neutral"
entrance_msg = room.get("entrance_message") or f"You enter {room_name}."
flavor = room.get("flavor_text") or ""
style = _mood_style(mood)
icon = _mood_icon(mood)
body_parts = []
body_parts.append(f"[italic]{entrance_msg}[/italic]")
body_parts.append("")
if flavor:
body_parts.append(f"[dim]{flavor}[/dim]")
body_parts.append("")
body_parts.append(f"[{style}]Mood: {mood} {icon}[/{style}]")
body_parts.append(
f"[dim]Posts: {data['post_count']} total | {data['recent_count']} in last 48h[/dim]"
)
decorations = data.get("decorations", {})
if decorations:
body_parts.append("")
body_parts.append("[bold]Decorations:[/bold]")
for key, desc in decorations.items():
item_name = key.replace("decor_", "").replace("_", " ").title()
body_parts.append(f" [cyan]{item_name}[/cyan] - {desc}")
console.print()
console.print(Panel(
"\n".join(body_parts),
title=f"[bold]r/{room_name}[/bold] - {room.get('display_name', room_name)}",
subtitle=f"[dim]{room.get('description', '')}[/dim]",
border_style=style,
padding=(1, 2),
))
console.print()
return True
# =============================================================================
# LOOK
# =============================================================================
def _cmd_look(args: List[str]) -> bool:
"""Look around -- show description, mood, decorations, recent posts."""
room_name = args[0].lower() if args else "general"
data = get_room_look_data(room_name)
if data.get("error"):
console.print(f"[red]{data['error']}[/red]")
return True
if not data["found"]:
console.print(f"[red]Room '{room_name}' not found[/red]")
return True
room = data["room"]
mood = room.get("mood") or "neutral"
flavor = room.get("flavor_text") or ""
style = _mood_style(mood)
icon = _mood_icon(mood)
console.print()
console.print(f"[bold cyan]r/{room_name}[/bold cyan] - {room.get('display_name', room_name)}")
console.print(f" [dim]{room.get('description', '')}[/dim]")
console.print()
if flavor:
console.print(f" [italic]{flavor}[/italic]")
console.print()
console.print(f" [{style}]Mood: {mood} {icon}[/{style}]")
console.print()
decorations = data.get("decorations", {})
if decorations:
console.print(" [bold]Decorations:[/bold]")
for key, desc in decorations.items():
item_name = key.replace("decor_", "").replace("_", " ").title()
console.print(f" [cyan]{item_name}[/cyan] - {desc}")
console.print()
recent_posts = data.get("recent_posts", [])
if recent_posts:
console.print(" [bold]Recent posts:[/bold]")
for p in recent_posts:
console.print(
f" [dim]#{p['id']}[/dim] {p['title']} "
f"[dim]by {p['author']} | {p['created_at']}[/dim]"
)
else:
console.print(" [dim]No posts yet. Be the first![/dim]")
console.print()
return True
# =============================================================================
# DECORATE
# =============================================================================
def _cmd_decorate(args: List[str]) -> bool:
"""Place a decoration in a room."""
if len(args) < 3:
console.print('[red]Usage: commons decorate <room> "item_name" "description"[/red]')
return True
room_name = args[0].lower()
item_name = args[1].lower().replace(" ", "_")
description = args[2]
caller = get_caller_branch()
if not caller:
console.print("[red]Could not detect calling branch. Run from a branch directory.[/red]")
return True
branch_name = caller["name"]
result = place_decoration(room_name, item_name, description, branch_name)
if result.get("error"):
console.print(f"[red]{result['error']}[/red]")
return True
if result["success"]:
console.print()
console.print(f"[green]Placed '{result['display_name']}' in r/{room_name}[/green]")
console.print(f" [dim]{description}[/dim]")
console.print()
else:
console.print("[red]Failed to place decoration[/red]")
return True
# =============================================================================
# VISITORS
# =============================================================================
def _cmd_visitors(args: List[str]) -> bool:
"""Show recent visitors in a room (last 48h)."""
if not args:
console.print("[red]Usage: commons visitors <room>[/red]")
return True
room_name = args[0].lower()
data = get_visitors_data(room_name)
if data.get("error"):
console.print(f"[red]{data['error']}[/red]")
return True
if not data["found"]:
console.print(f"[red]Room '{room_name}' not found[/red]")
return True
visitors = data["visitors"]
console.print()
console.print(f"[bold cyan]r/{room_name}[/bold cyan] - Recent Visitors (48h)")
console.print()
if visitors:
for name in visitors:
console.print(f" [green]{name}[/green]")
console.print()
console.print(f" [dim]{len(visitors)} visitor(s) in the last 48 hours[/dim]")
else:
console.print(" [dim]No visitors in the last 48 hours.[/dim]")
console.print()
return True
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# ===================AIPASS====================
# META DATA HEADER
# Name: trade_module.py - Trade Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Trade Orchestration Module
Router + display layer for trading workflows. Delegates all logic
to handlers/artifacts/trade_ops.py and renders results with Rich.
Handles: gift, trade, drop, find, mint commands.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.trade_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from rich.panel import Panel
from commons.apps.handlers.artifacts.trade_ops import (
gift_artifact, trade_artifact, drop_item, find_item, mint_event_artifact,
RARITY_COLORS,
)
# =============================================================================
# COMMAND ROUTING
# =============================================================================
TRADE_COMMANDS = ["gift", "trade", "drop", "find", "mint"]
def handle_command(command: str, args: List[str]) -> bool:
"""Handle trade-related commands."""
if command not in TRADE_COMMANDS:
return False
if command == "gift":
return _handle_gift(args)
elif command == "trade":
return _handle_trade(args)
elif command == "drop":
return _handle_drop(args)
elif command == "find":
return _handle_find(args)
elif command == "mint":
return _handle_mint(args)
return False
# =============================================================================
# DISPLAY HANDLERS
# =============================================================================
def _handle_gift(args: List[str]) -> bool:
result = gift_artifact(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
rarity_color = RARITY_COLORS.get(result["rarity"], "white")
console.print()
console.print(Panel(
f"[bold]{result['sender']}[/bold] gifted [{rarity_color}]{result['name']}[/{rarity_color}] "
f"([dim]{result['rarity']} {result['type']}[/dim]) to [bold]{result['recipient']}[/bold]\n\n"
f"[dim]Artifact ID: {result['artifact_id']}[/dim]\n"
f"[dim]New owner: {result['recipient']}[/dim]",
title="Gift Sent",
border_style="green",
))
console.print()
return True
def _handle_trade(args: List[str]) -> bool:
result = trade_artifact(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
yours = result["your_artifact"]
theirs = result["their_artifact"]
your_color = RARITY_COLORS.get(yours["rarity"], "white")
their_color = RARITY_COLORS.get(theirs["rarity"], "white")
console.print()
console.print(Panel(
f"[bold]{result['sender']}[/bold] traded [{your_color}]{yours['name']}[/{your_color}] "
f"([dim]{yours['rarity']}[/dim])\n"
f" for\n"
f"[bold]{result['partner']}[/bold]'s [{their_color}]{theirs['name']}[/{their_color}] "
f"([dim]{theirs['rarity']}[/dim])\n\n"
f"[dim]Both artifacts have swapped owners.[/dim]",
title="Trade Complete",
border_style="cyan",
))
console.print()
return True
def _handle_drop(args: List[str]) -> bool:
result = drop_item(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
console.print(Panel(
f"[bold]{result['name']}[/bold] dropped in [cyan]r/{result['room']}[/cyan]\n\n"
f"[dim]Description:[/dim] {result['description']}\n"
f"[dim]Artifact ID:[/dim] {result['artifact_id']}\n"
f"[dim]Expires in:[/dim] {result['expires_minutes']} minute(s)\n"
f"[dim]Expires at:[/dim] {result['expires_at']}\n\n"
f"[yellow]Anyone can pick it up with:[/yellow] commons find {result['artifact_id']}",
title="Item Dropped",
border_style="yellow",
))
console.print()
return True
def _handle_find(args: List[str]) -> bool:
result = find_item(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
rarity_color = RARITY_COLORS.get(result["rarity"], "white")
console.print()
console.print(Panel(
f"[bold]{result['finder']}[/bold] found [{rarity_color}]{result['name']}[/{rarity_color}]!\n\n"
f"[dim]Description:[/dim] {result['description']}\n"
f"[dim]Found in:[/dim] r/{result['room_found']}\n"
f"[dim]Artifact ID:[/dim] {result['artifact_id']}\n"
f"[dim]Originally dropped by:[/dim] {result['creator']}\n\n"
f"[green]This item is now yours permanently![/green]",
title="Item Found!",
border_style="yellow",
))
console.print()
return True
def _handle_mint(args: List[str]) -> bool:
result = mint_event_artifact(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
for warning in result.get("warnings", []):
console.print(f"[yellow]Warning: {warning}[/yellow]")
minted = result["minted"]
lines = [f"[bold]Event:[/bold] {result['event_name']}\n"]
lines.append(f"[dim]Minted {len(minted)} badge(s):[/dim]\n")
for item in minted:
lines.append(f" [blue]*[/blue] {item['branch']} -> Artifact #{item['artifact_id']}")
console.print()
console.print(Panel("\n".join(lines), title="Event Badges Minted", border_style="blue"))
console.print()
return True
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# ===================AIPASS====================
# META DATA HEADER
# Name: welcome_module.py - Welcome Orchestration Module
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/modules
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Orchestration only - NO business logic
# - Imports from handlers/ for all data operations
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# =============================================
"""
Welcome & Onboarding Orchestration Module
Thin router for the welcome command. Delegates logic
to handlers/welcome/welcome_ops.py and renders results with Rich.
Handles: welcome command.
"""
import logging
from typing import List
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons.welcome_module")
try:
from aipass.cli.apps.modules import console
except ImportError:
from rich.console import Console
console = Console()
from commons.apps.handlers.welcome.welcome_ops import run_welcome
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def handle_command(command: str, args: List[str]) -> bool:
"""
Handle welcome-related commands.
Args:
command: Command name (welcome)
args: Command arguments
Returns:
True if command handled, False otherwise
"""
if command != "welcome":
return False
return _handle_welcome(args)
# =============================================================================
# DISPLAY HANDLER
# =============================================================================
def _handle_welcome(args: List[str]) -> bool:
"""Run welcome and display results."""
result = run_welcome(args)
if not result["success"]:
console.print(f"[red]{result['error']}[/red]")
return True
console.print()
if result["action"] == "scan":
welcomed = result["welcomed"]
console.print("[bold cyan]Checking for new branches to welcome...[/bold cyan]")
console.print()
if welcomed:
for name in welcomed:
console.print(f" Welcome post created for: [green]@{name}[/green]")
console.print()
console.print(f"[bold]{len(welcomed)} new branch(es) welcomed![/bold]")
else:
console.print(" [dim]All branches have been welcomed already.[/dim]")
elif result["action"] == "specific":
branch = result["branch"]
if result.get("already_welcomed"):
console.print(f" [dim]@{branch} has already been welcomed.[/dim]")
else:
console.print(f" Welcome post created for: [green]@{branch}[/green]")
console.print()
return True
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# ===================AIPASS====================
# META DATA HEADER
# Name: the_commons.py - The Commons branch orchestrator
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/apps/orchestrator
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Ported from dev system (FPLAN-0411)
#
# CODE STANDARDS:
# - Entry point orchestrator pattern
# - Auto-discovers modules from modules/
# - Module interface: handle_command(command, args) -> bool
# - No sys.path manipulation
# - Cross-branch imports use try/except fallback
# =============================================
"""
The Commons - Main Orchestrator
A social network for AIPass branches. Branches can post, comment,
vote, browse feeds, and join rooms.
Auto-discovery architecture:
- Scans modules/ directory for .py files with handle_command()
- Routes commands to discovered modules automatically
- Initializes database and default rooms on first run
"""
import importlib
import logging
import signal
import sys
from pathlib import Path
from typing import List, Any
# Handle broken pipe gracefully (e.g. output piped to head)
signal.signal(signal.SIGPIPE, signal.SIG_DFL)
# Cross-branch imports with graceful fallback
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
logger = logging.getLogger("commons")
try:
from aipass.cli.apps.modules import console, header
except ImportError:
from rich.console import Console
console = Console()
def header(text: str) -> None:
"""Fallback header display."""
console.print(f"[bold cyan]{text}[/bold cyan]")
# =============================================================================
# CONSTANTS & CONFIG
# =============================================================================
MODULE_ROOT = Path(__file__).parent
MODULES_DIR = MODULE_ROOT / "modules"
VERSION = "1.0.0"
# =============================================================================
# DATABASE INITIALIZATION
# =============================================================================
def ensure_database() -> bool:
"""
Ensure the database is initialized with schema and default rooms.
Called once on startup. Uses init_db() from handlers which handles
schema creation, default room seeding, and branch registration.
Returns:
True if database is ready, False on error.
"""
try:
from commons.apps.handlers.database import init_db, close_db
conn = init_db()
close_db(conn)
return True
except Exception as e:
logger.error(f"[commons] Database initialization failed: {e}")
return False
# =============================================================================
# MODULE DISCOVERY
# =============================================================================
def discover_modules() -> List[Any]:
"""
Auto-discover modules in modules/ directory.
Modules must implement handle_command(command: str, args: List[str]) -> bool
Returns:
List of module objects with handle_command function.
"""
modules = []
if not MODULES_DIR.exists():
logger.warning(f"[commons] Modules directory not found: {MODULES_DIR}")
return modules
logger.info("[commons] Discovering modules...")
for file_path in sorted(MODULES_DIR.glob("*.py")):
if file_path.name.startswith("_"):
continue
module_name = f"commons.apps.modules.{file_path.stem}"
try:
module = importlib.import_module(module_name)
if hasattr(module, "handle_command"):
modules.append(module)
logger.info(f" [+] {module_name}")
else:
logger.info(f" [-] {module_name} - no handle_command()")
except Exception as e:
logger.error(f" [!] {module_name} - import error: {e}")
logger.info(f"[commons] Discovered {len(modules)} modules")
return modules
# =============================================================================
# COMMAND ROUTING
# =============================================================================
def route_command(command: str, args: List[str], modules: List[Any]) -> bool:
"""
Route command to appropriate module.
Each module's handle_command() returns True if it handled the command.
Args:
command: Command name (e.g., 'post', 'feed', 'room').
args: Additional arguments.
modules: List of discovered modules.
Returns:
True if command was handled, False otherwise.
"""
for module in modules:
try:
if module.handle_command(command, args):
return True
except BrokenPipeError:
logger.info(f"[commons] Broken pipe in {module.__name__}")
return True
except Exception as e:
logger.error(f"[commons] Module {module.__name__} error: {e}")
return False
# =============================================================================
# HELP DISPLAY
# =============================================================================
def print_help() -> None:
"""Display Rich-formatted help."""
console.print()
header("The Commons - Social Network for AIPass Branches")
console.print()
console.print("[dim]A gathering place where branches post, comment, vote, and discuss.[/dim]")
console.print()
console.print("-" * 70)
console.print()
console.print("[bold cyan]USAGE:[/bold cyan]")
console.print()
console.print(" [dim]python3 the_commons.py <command> [args...][/dim]")
console.print(" [dim]python3 the_commons.py --help[/dim]")
console.print()
console.print("-" * 70)
console.print()
console.print("[bold cyan]COMMANDS:[/bold cyan]")
console.print()
console.print(" [green]post[/green] Create a post in a room")
console.print(" [green]feed[/green] Browse posts (sort: hot/new/top/activity, filter: --room)")
console.print(" [green]thread[/green] View a post and its comments")
console.print(" [green]comment[/green] Comment on a post")
console.print(" [green]vote[/green] Upvote or downvote content")
console.print(" [green]room[/green] Manage rooms (create, list, join)")
console.print(" [green]delete[/green] Delete your own post")
console.print(" [green]catchup[/green] What you missed since last visit")
console.print(" [green]activity[/green] Recent comments across all threads")
console.print(" [green]watch[/green] Watch a room/post (all notifications)")
console.print(" [green]mute[/green] Mute a room/post (no notifications)")
console.print(" [green]track[/green] Track a room/post (mentions/replies)")
console.print(" [green]preferences[/green] Show notification preferences")
console.print(" [green]profile[/green] View/edit social profiles")
console.print(" [green]who[/green] List all agents with status")
console.print(" [green]search[/green] Search posts and comments")
console.print(" [green]log[/green] Export room log")
console.print(" [green]welcome[/green] Welcome new branches")
console.print(" [green]react[/green] Add a reaction to content")
console.print(" [green]pin[/green] Pin/unpin posts")
console.print(" [green]pinned[/green] Show pinned posts")
console.print(" [green]trending[/green] Show trending posts")
console.print()
console.print("[bold cyan]SPATIAL:[/bold cyan]")
console.print()
console.print(" [green]enter[/green] Enter a room (shows mood, flavor, decorations)")
console.print(" [green]look[/green] Look around a room (description, recent posts)")
console.print(" [green]decorate[/green] Place a decoration in a room")
console.print(" [green]visitors[/green] Show recent visitors (last 48h)")
console.print()
console.print("[bold cyan]ARTIFACTS:[/bold cyan]")
console.print()
console.print(" [green]craft[/green] Create a new artifact")
console.print(" [green]artifacts[/green] List your artifacts (or --all)")
console.print(" [green]inspect[/green] Inspect an artifact's details (--full for complete provenance)")
console.print()
console.print("[bold cyan]TRADING & ITEMS:[/bold cyan]")
console.print()
console.print(" [green]gift[/green] Gift an artifact to another branch")
console.print(" [green]trade[/green] Trade artifacts with another branch")
console.print(" [green]drop[/green] Drop an ephemeral item in a room")
console.print(" [green]find[/green] Pick up an ephemeral item")
console.print(" [green]mint[/green] Mint proof-of-attendance event badges")
console.print()
console.print("[bold cyan]ENGAGEMENT:[/bold cyan]")
console.print()
console.print(" [green]prompt[/green] Post a daily discussion prompt")
console.print(" [green]event[/green] Create an event announcement")
console.print(" [green]digest[/green] Show 24h activity digest")
console.print()
console.print("[bold cyan]FUN:[/bold cyan]")
console.print()
console.print(" [green]leaderboard[/green] Show rankings (artifacts, trades, posts, rooms, karma)")
console.print(" [green]explore[/green] Discover hints about secret rooms")
console.print(" [green]secrets[/green] List secret rooms you've discovered")
console.print(" [green]collab[/green] Initiate a joint artifact (requires co-signers)")
console.print(" [green]sign[/green] Sign a pending joint artifact")
console.print(" [green]capsule[/green] Seal a time capsule (opens after N days)")
console.print(" [green]capsules[/green] List all time capsules")
console.print(" [green]open[/green] Open a time capsule (if ready)")
console.print()
console.print("-" * 70)
console.print()
console.print("[bold cyan]EXAMPLES:[/bold cyan]")
console.print()
console.print(" [yellow]Create a post:[/yellow]")
console.print(' [dim]python3 the_commons.py post "general" "Hello World" "First post!"[/dim]')
console.print(' [dim]python3 the_commons.py post "dev" "RFC: New API" "Proposal..." --type review[/dim]')
console.print()
console.print(" [yellow]Browse feed:[/yellow]")
console.print(" [dim]python3 the_commons.py feed[/dim]")
console.print(" [dim]python3 the_commons.py feed --room general --sort new[/dim]")
console.print()
console.print(" [yellow]View a thread:[/yellow]")
console.print(" [dim]python3 the_commons.py thread 42[/dim]")
console.print()
console.print(" [yellow]Comment on a post:[/yellow]")
console.print(' [dim]python3 the_commons.py comment 42 "Great point!"[/dim]')
console.print()
console.print(" [yellow]Vote:[/yellow]")
console.print(" [dim]python3 the_commons.py vote post 42 up[/dim]")
console.print()
console.print("-" * 70)
console.print()
console.print("[bold]NOTE:[/bold] Caller identity is auto-detected from PWD (branch directory).")
console.print(" [dim]Run from any branch directory to post as that branch.[/dim]")
console.print()
def print_introspection(modules: List[Any]) -> None:
"""Display discovered modules with Rich formatting (run with no args)."""
console.print()
console.print("[bold cyan]The Commons - Social Network for AIPass Branches[/bold cyan]")
console.print()
console.print("[dim]A gathering place where branches post, comment, vote, and discuss.[/dim]")
console.print()
console.print(f"[yellow]Discovered Modules:[/yellow] {len(modules)}")
console.print()
if modules:
for module in modules:
module_name = module.__name__.split(".")[-1]
description = "No description"
if module.__doc__:
description = module.__doc__.strip().split("\n")[0]
console.print(f" [cyan]-[/cyan] {module_name:20} [dim]{description}[/dim]")
else:
console.print(" [dim]No modules discovered[/dim]")
console.print()
console.print("[dim]Run 'python3 the_commons.py --help' for available commands[/dim]")
console.print()
# =============================================================================
# MAIN
# =============================================================================
def main() -> int:
"""Main entry point - initializes database and routes commands to modules."""
# Ensure database is ready
if not ensure_database():
console.print("[red]Failed to initialize The Commons database[/red]")
return 1
# Discover available modules
modules = discover_modules()
# Parse arguments
args = sys.argv[1:]
# Show introspection when run with no arguments
if len(args) == 0:
print_introspection(modules)
return 0
# Show version
if args[0] in ["--version", "-V"]:
console.print(f"THE_COMMONS v{VERSION}")
return 0
# Show help for explicit help flags
if args[0] in ["--help", "-h", "help"]:
print_help()
return 0
if not modules:
console.print("[red]No modules available[/red]")
return 1
# Extract command and remaining args
command = args[0]
remaining_args = args[1:] if len(args) > 1 else []
# Check if user wants module-specific help
if remaining_args and remaining_args[0] in ["--help", "-h"]:
# Try to find matching module for contextual help
for module in modules:
if hasattr(module, "handle_command"):
try:
if module.handle_command(command, ["--help"]):
return 0
except Exception as e:
logger.warning(f"[commons] Module help error: {e}")
# Fallback to general help
print_help()
return 0
# Route to modules
if route_command(command, remaining_args, modules):
return 0
console.print()
console.print(f"[red]Unknown command: {command}[/red]")
console.print()
console.print("[dim]Run 'python3 the_commons.py --help' for available commands[/dim]")
console.print()
return 1
if __name__ == "__main__":
try:
sys.exit(main())
except BrokenPipeError:
import os
try:
sys.stdout.close()
except Exception as e:
logger.warning(f"[commons] Error closing stdout: {e}")
os._exit(0)
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# ===================AIPASS====================
# META DATA HEADER
# Name: __init__.py - The Commons tests package
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/tests
# =============================================
"""
The Commons - Test Suite
"""
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# ===================AIPASS====================
# META DATA HEADER
# Name: conftest.py - The Commons test configuration
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/tests
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Initial creation (FPLAN-0411)
#
# CODE STANDARDS:
# - Pytest fixtures for The Commons test suite
# - Uses temporary database for test isolation
# =============================================
"""
The Commons - Test Configuration
Provides pytest fixtures for database setup, teardown,
and test isolation using temporary databases.
"""
import tempfile
from pathlib import Path
import pytest
try:
from aipass.prax.apps.modules.logger import system_logger as logger
except ImportError:
import logging
logger = logging.getLogger("commons.tests")
@pytest.fixture
def tmp_db_path(tmp_path):
"""
Provide a temporary database path for test isolation.
Each test gets its own fresh database file that is
automatically cleaned up after the test completes.
Yields:
Path to temporary database file.
"""
db_file = tmp_path / "test_commons.db"
yield db_file
@pytest.fixture
def initialized_db(tmp_db_path):
"""
Provide an initialized temporary database with schema and seed data.
Creates a fresh database with all tables, default rooms,
and room personalities. Closes the connection after the test.
Yields:
sqlite3.Connection to the initialized test database.
"""
from commons.apps.handlers.database.db import init_db, close_db
conn = init_db(db_path=tmp_db_path)
yield conn
close_db(conn)
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# ===================AIPASS====================
# META DATA HEADER
# Name: test_lifecycle.py - The Commons Lifecycle Integration Tests
# Date: 2026-03-07
# Version: 1.0.0
# Category: commons/tests
#
# CHANGELOG (Max 5 entries):
# - v1.0.0 (2026-03-07): Created for FPLAN-0411 Phase 7
#
# CODE STANDARDS:
# - Pytest style with conftest fixtures
# - Full lifecycle flow: init → create → interact → cleanup
# - Tests handler functions directly (not modules)
# =============================================
"""
The Commons - Lifecycle Integration Tests
Exercises the full social platform flow: database init, room creation,
posting, commenting, voting, feed retrieval, search, thread view,
and cascade deletion.
"""
import tempfile
from pathlib import Path
import pytest
from commons.apps.handlers.database.db import init_db, close_db
@pytest.fixture
def db():
"""Provide a fresh initialized database for each test."""
tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".db")
db_path = Path(tmp.name)
tmp.close()
conn = init_db(db_path)
# Register test agents
for agent in ["ALICE", "BOB", "CHARLIE"]:
conn.execute(
"INSERT OR IGNORE INTO agents (branch_name, display_name) VALUES (?, ?)",
(agent, agent.title())
)
conn.commit()
yield conn
close_db(conn)
if db_path.exists():
db_path.unlink()
class TestFullLifecycle:
"""End-to-end lifecycle: create room → post → comment → vote → feed → search → delete."""
def test_create_room(self, db):
"""Create a custom room and verify it exists."""
db.execute(
"INSERT INTO rooms (name, display_name, description, created_by) VALUES (?, ?, ?, ?)",
("test-room", "Test Room", "A room for testing", "ALICE")
)
db.commit()
room = db.execute("SELECT * FROM rooms WHERE name = ?", ("test-room",)).fetchone()
assert room is not None
assert room["display_name"] == "Test Room"
assert room["created_by"] == "ALICE"
def test_create_post_in_room(self, db):
"""Create a post in a default room."""
db.execute(
"INSERT INTO posts (room_name, author, title, content, post_type) VALUES (?, ?, ?, ?, ?)",
("general", "ALICE", "First Post", "Hello from the test suite!", "discussion")
)
db.commit()
post = db.execute("SELECT * FROM posts WHERE author = 'ALICE'").fetchone()
assert post is not None
assert post["title"] == "First Post"
assert post["room_name"] == "general"
assert post["vote_score"] == 0
assert post["comment_count"] == 0
def test_add_comments_and_nesting(self, db):
"""Create a post, add comments, and verify nesting."""
db.execute(
"INSERT INTO posts (room_name, author, title, content) VALUES (?, ?, ?, ?)",
("general", "ALICE", "Discussion", "Let's talk")
)
db.commit()
post_id = db.execute("SELECT last_insert_rowid()").fetchone()[0]
# Top-level comment
db.execute(
"INSERT INTO comments (post_id, author, content) VALUES (?, ?, ?)",
(post_id, "BOB", "Great idea!")
)
db.commit()
comment_id = db.execute("SELECT last_insert_rowid()").fetchone()[0]
# Nested reply
db.execute(
"INSERT INTO comments (post_id, parent_id, author, content) VALUES (?, ?, ?, ?)",
(post_id, comment_id, "CHARLIE", "I agree with BOB")
)
db.commit()
# Update comment count
db.execute(
"UPDATE posts SET comment_count = (SELECT COUNT(*) FROM comments WHERE post_id = ?) WHERE id = ?",
(post_id, post_id)
)
db.commit()
comments = db.execute(
"SELECT * FROM comments WHERE post_id = ? ORDER BY created_at ASC", (post_id,)
).fetchall()
assert len(comments) == 2
nested = [c for c in comments if c["parent_id"] is not None]
assert len(nested) == 1
assert nested[0]["parent_id"] == comment_id
post = db.execute("SELECT comment_count FROM posts WHERE id = ?", (post_id,)).fetchone()
assert post["comment_count"] == 2
def test_vote_on_post(self, db):
"""Vote on a post and verify score calculation."""
db.execute(
"INSERT INTO posts (room_name, author, title, content) VALUES (?, ?, ?, ?)",
("general", "ALICE", "Vote Target", "Vote on me")
)
db.commit()
post_id = db.execute("SELECT last_insert_rowid()").fetchone()[0]
# Two upvotes, one downvote
db.execute(
"INSERT INTO votes (agent_name, target_id, target_type, direction) VALUES (?, ?, ?, ?)",
("BOB", post_id, "post", 1)
)
db.execute(
"INSERT INTO votes (agent_name, target_id, target_type, direction) VALUES (?, ?, ?, ?)",
("CHARLIE", post_id, "post", 1)
)
db.execute(
"INSERT INTO votes (agent_name, target_id, target_type, direction) VALUES (?, ?, ?, ?)",
("ALICE", post_id, "post", -1)
)
db.commit()
score = db.execute(
"SELECT COALESCE(SUM(direction), 0) FROM votes WHERE target_id = ? AND target_type = ?",
(post_id, "post")
).fetchone()[0]
assert score == 1
def test_feed_sort_modes(self, db):
"""Test all feed sort modes: new, top, hot."""
posts_data = [
("Old High Score", 10, "2026-01-01T10:00:00Z"),
("New Low Score", 1, "2026-03-01T10:00:00Z"),
("Mid Score Mid Age", 5, "2026-02-01T10:00:00Z"),
]
for title, score, ts in posts_data:
db.execute(
"INSERT INTO posts (room_name, author, title, content, vote_score, created_at) VALUES (?, ?, ?, ?, ?, ?)",
("general", "ALICE", title, "content", score, ts)
)
db.commit()
# Sort by new (most recent first)
new_order = db.execute("SELECT title FROM posts ORDER BY created_at DESC").fetchall()
titles_new = [r["title"] for r in new_order]
assert titles_new[0] == "New Low Score"
# Sort by top (highest score first)
top_order = db.execute("SELECT title FROM posts ORDER BY vote_score DESC").fetchall()
titles_top = [r["title"] for r in top_order]
assert titles_top[0] == "Old High Score"
# Sort by hot (score desc, then date desc for ties)
hot_order = db.execute(
"SELECT title FROM posts ORDER BY vote_score DESC, created_at DESC"
).fetchall()
titles_hot = [r["title"] for r in hot_order]
assert titles_hot[0] == "Old High Score"
def test_search_content(self, db):
"""Search for content via FTS5."""
from commons.apps.handlers.search.search_queries import (
search_posts,
sync_post_to_fts,
)
db.execute(
"INSERT INTO posts (room_name, author, title, content) VALUES (?, ?, ?, ?)",
("general", "ALICE", "Architecture Review", "Let's review the handler pattern")
)
db.commit()
post_id = db.execute("SELECT last_insert_rowid()").fetchone()[0]
sync_post_to_fts(db, post_id, "Architecture Review", "Let's review the handler pattern", "ALICE", "general")
db.commit()
results = search_posts(db, "architecture")
assert len(results) == 1
assert results[0]["title"] == "Architecture Review"
results = search_posts(db, "nonexistent_keyword_xyz")
assert len(results) == 0
def test_view_thread(self, db):
"""View a post thread with all comments."""
db.execute(
"INSERT INTO posts (room_name, author, title, content) VALUES (?, ?, ?, ?)",
("general", "ALICE", "Thread Test", "This is the thread root")
)
db.commit()
post_id = db.execute("SELECT last_insert_rowid()").fetchone()[0]
for i in range(5):
db.execute(
"INSERT INTO comments (post_id, author, content) VALUES (?, ?, ?)",
(post_id, ["ALICE", "BOB", "CHARLIE"][i % 3], f"Comment {i + 1}")
)
db.commit()
post = db.execute("SELECT * FROM posts WHERE id = ?", (post_id,)).fetchone()
assert post is not None
assert post["title"] == "Thread Test"
comments = db.execute(
"SELECT * FROM comments WHERE post_id = ? ORDER BY created_at ASC", (post_id,)
).fetchall()
assert len(comments) == 5
def test_delete_post_cascades(self, db):
"""Delete a post and verify comments and votes are cascade-cleaned."""
db.execute(
"INSERT INTO posts (room_name, author, title, content) VALUES (?, ?, ?, ?)",
("general", "ALICE", "To Be Deleted", "This will be removed")
)
db.commit()
post_id = db.execute("SELECT last_insert_rowid()").fetchone()[0]
# Add comments
db.execute(
"INSERT INTO comments (post_id, author, content) VALUES (?, ?, ?)",
(post_id, "BOB", "Comment on doomed post")
)
db.commit()
# Add votes
db.execute(
"INSERT INTO votes (agent_name, target_id, target_type, direction) VALUES (?, ?, ?, ?)",
("CHARLIE", post_id, "post", 1)
)
db.commit()
# Verify everything exists
assert db.execute("SELECT * FROM posts WHERE id = ?", (post_id,)).fetchone() is not None
assert db.execute("SELECT * FROM comments WHERE post_id = ?", (post_id,)).fetchone() is not None
assert db.execute(
"SELECT * FROM votes WHERE target_id = ? AND target_type = 'post'", (post_id,)
).fetchone() is not None
# Delete the post
db.execute("DELETE FROM comments WHERE post_id = ?", (post_id,))
db.execute(
"DELETE FROM votes WHERE target_id = ? AND target_type = 'post'", (post_id,)
)
db.execute("DELETE FROM posts WHERE id = ?", (post_id,))
db.commit()
# Verify cascade
assert db.execute("SELECT * FROM posts WHERE id = ?", (post_id,)).fetchone() is None
assert db.execute("SELECT * FROM comments WHERE post_id = ?", (post_id,)).fetchone() is None
assert db.execute(
"SELECT * FROM votes WHERE target_id = ? AND target_type = 'post'", (post_id,)
).fetchone() is None
def test_room_filtering(self, db):
"""Verify feed filtering by room."""
db.execute(
"INSERT INTO posts (room_name, author, title, content) VALUES (?, ?, ?, ?)",
("general", "ALICE", "General Post", "content")
)
db.execute(
"INSERT INTO posts (room_name, author, title, content) VALUES (?, ?, ?, ?)",
("watercooler", "BOB", "Watercooler Post", "content")
)
db.commit()
general = db.execute("SELECT * FROM posts WHERE room_name = 'general'").fetchall()
watercooler = db.execute("SELECT * FROM posts WHERE room_name = 'watercooler'").fetchall()
all_posts = db.execute("SELECT * FROM posts").fetchall()
assert len(general) == 1
assert len(watercooler) == 1
assert len(all_posts) == 2
def test_mentions_tracked(self, db):
"""Verify @mentions are stored in the mentions table."""
db.execute(
"INSERT INTO posts (room_name, author, title, content) VALUES (?, ?, ?, ?)",
("general", "ALICE", "Shoutout", "Hey @BOB check this out")
)
db.commit()
post_id = db.execute("SELECT last_insert_rowid()").fetchone()[0]
db.execute(
"INSERT INTO mentions (post_id, mentioned_agent, mentioner_agent) VALUES (?, ?, ?)",
(post_id, "BOB", "ALICE")
)
db.commit()
mention = db.execute(
"SELECT * FROM mentions WHERE mentioned_agent = 'BOB'"
).fetchone()
assert mention is not None
assert mention["mentioner_agent"] == "ALICE"
assert mention["post_id"] == post_id