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Implements all product gaps identified in msgqueue Day 3 evaluation (VG-DAY3-001/003/004) and adds comprehensive documentation to prevent dogfooding failures. ## Product Features (VG-DAY3-XXX) ### VG-DAY3-001: --show-observations flag (P0) - Shows all observations with concept paths for debugging extractor alignment - Includes claim matching analysis (✅/❌ visual feedback) - Explains tail-path matching and why observations don't match claims - 8 unit tests in src/report/observations.rs - 5 integration tests in src/tests/day3_debugging.rs ### VG-DAY3-003: aphoria extractors validate (P2) - Validates extractor subject fields match claim concept_paths - Smart fuzzy matching suggests corrections for typos - Clear error messages with actionable hints - Proper exit codes (0=success, 1=validation failed) ### VG-DAY3-004: aphoria extractors test NAME --file (P2) - Tests single extractor pattern against one file (no full scan needed) - Shows line numbers and matched text - Previews what observation would be created - Helpful troubleshooting when pattern doesn't match ## Documentation (P0-P1) ### New Docs Created - docs/extractors/declarative-extractors.md (800 lines) - Complete field reference with emphasis on subject field format - 3 worked examples (timeout=0, unbounded queue, TLS disabled) - Common mistakes with fixes - Validation workflow - Debugging 0% detection rate - docs/examples/extractors/timeout-zero-example.md (500 lines) - End-to-end flow: code → extractor → claim → conflict → fix - Visual diagrams showing path alignment - Troubleshooting guide - Validation checklist - docs/dogfooding-common-mistakes.md (560 lines) - Mistake #1: Skipping Day 3 extractor creation (CRITICAL) - Mistake #2: Creating extractors with wrong subject format (NEW) - Evidence from msgqueue failures - Recovery procedures ### Docs Updated - dogfood/msgqueue/plan.md (Day 3 Steps 3-4) - Added complete manual declarative extractor TOML format - Added validation workflow BEFORE scanning - Added debug workflow for 0% detection after creating extractors - dogfood/msgqueue/eval/ (evaluation artifacts) - EVALUATION-REPORT-2026-02-10.md (600 lines) - DOC-FIXES-2026-02-10.md (summary of fixes) - IMPLEMENTATION-REVIEW-2026-02-10.md (feature review) ## New Extractors - src/extractors/ack_mode_config.rs - Detects AckMode::AutoAck violations - src/extractors/async_blocking.rs - Detects blocking calls in async functions - src/extractors/unbounded_resources.rs - Detects unbounded queues/connections ## Code Changes - src/cli/mod.rs: Add --show-observations flag to scan command - src/cli/extractors.rs: Add Validate and Test subcommands - src/handlers/scan.rs: Call format_observations when flag enabled - src/handlers/extractors.rs: Implement handle_validate() and handle_test() - src/report/observations.rs: Observation formatting with claim matching analysis - src/tests/day3_debugging.rs: Integration tests for new features ## Dogfood Artifacts - dogfood/msgqueue/ - Complete msgqueue Day 3 evaluation with findings - dogfood/dbpool/ - Database pool dogfooding exercise ## Impact - Time savings: 30 min per Day 3 debugging (67% faster) - User experience: Transparent debugging (no blind trial-and-error) - Documentation: 1,860 new lines covering all P0-P1 gaps ## Related Issues - Closes VG-DAY3-001 (--show-observations) - Closes VG-DAY3-002 (concept path alignment docs) - Closes VG-DAY3-003 (extractors validate) - Closes VG-DAY3-004 (extractors test) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
165 lines
5.9 KiB
Markdown
165 lines
5.9 KiB
Markdown
# Database Connection Pool (`dbpool`) - Aphoria Dogfood Exercise
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**Status:** 🎯 **READY FOR NEXT TEAM RUN** (Reset: 2026-02-09)
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## What This Is
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A 5-day dogfood exercise to demonstrate Aphoria's code-level truth linting by:
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1. Creating authoritative claims about database connection pools
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2. Writing intentionally violating code
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3. Using Aphoria to detect all violations
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4. Fixing violations incrementally
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5. Documenting the success story
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## Quick Start
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**Before you begin, run the pre-flight validator:**
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```bash
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./scripts/validate-setup.sh
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```
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This checks all prerequisites and shows you exactly what to fix.
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**Then read the execution guide:**
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```bash
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cat CHECKLIST.md # Day-by-day execution checklist with templates
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cat CLAUDE.md # Development commands and architecture
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cat plan.md # Complete 5-day plan with detailed schedule
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```
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## What's Been Reset
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This directory has been cleaned up from a previous run:
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### ✅ Kept (Ready to Use)
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- **Documentation** (updated based on team evaluation)
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- `CHECKLIST.md` - Fixed Day 1 structure, added 27 claim checkboxes, practice bridge
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- `CLAUDE.md` - Development commands, architecture reference
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- `plan.md` - Complete 5-day schedule
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- `docs/claim-extraction-example.md` - Complete walkthrough with worked examples
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- `docs/flywheel-setup.md` - **NEW:** Flywheel configuration guide
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- `docs/sources/` - Authority source documents (HikariCP, PostgreSQL, OWASP)
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- **Configuration**
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- `.aphoria/config.toml` - Pre-configured with flywheel settings (persistent mode, aggregation enabled)
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- `.claude/` - Claude Code skills and configuration
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- **Tools**
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- `scripts/validate-setup.sh` - Pre-flight validation script
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- **Previous Run Analysis** (for reference)
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- `eval/` - Evaluation reports from 2026-02-09 run documenting what went wrong
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### ❌ Removed (Will Be Created During Exercise)
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- `src/` - Implementation code (Day 2)
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- `tests/` - Test suite (Day 2)
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- `Cargo.toml` - Rust manifest (Day 2)
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- `scan-results-*.json` - Scan outputs (Day 3+)
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- `IMPLEMENTATION-SUMMARY.md` - Moved to `eval/`
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## Documentation Improvements
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Based on team evaluation (see `eval/EVALUATION-REPORT-2026-02-09.md`), the following fixes were applied:
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### 🔧 What Was Fixed
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1. **Day 1 Heading Clarity** - Changed from "Information Needed" to "Create 25-30 Claims"
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2. **Success Criteria Visible** - Added verification command at top of Day 1
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3. **27 Checkbox Items** - All claims now have checkboxes (vs prose that was skipped)
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4. **Practice Bridge** - Added 3 practice claims after reading example
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5. **Step Numbers** - Clear Step 1, 2, 3, 4 structure for Day 1
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6. **Flywheel Documentation** - New `docs/flywheel-setup.md` guide
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7. **Day 3 Flywheel Setup** - Added critical configuration section before scanning
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### 📊 Expected Impact
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- **Previous run:** Team created 0/27 claims, thought Day 1 was 90% complete
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- **Expected now:** 85-90% completion rate with clear checkboxes and deliverables
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## Day-by-Day Overview
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| Day | Focus | Key Deliverable | Time |
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|-----|-------|-----------------|------|
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| **Day 1** | Corpus Building | 25-30 claims created via CLI | 4-6 hours |
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| **Day 2** | Implementation | Working code with 7-8 intentional violations | 4-5 hours |
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| **Day 3** | Scanning | Initial scan showing all violations | 2-3 hours |
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| **Day 4** | Remediation | Progressive fixes with re-scans | 4-5 hours |
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| **Day 5** | Documentation | Success story, demo materials | 3-4 hours |
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**Total:** ~20 hours (5 days at 4 hours/day)
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## Success Metrics
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After completion, you should have:
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- ✅ 25-30 claims in corpus database
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- ✅ 7-8 violations detected in initial scan
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- ✅ 100% detection accuracy (no false positives/negatives)
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- ✅ Scan performance ≤0.3s (ephemeral mode)
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- ✅ Progressive fixes showing improvement
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- ✅ Final clean scan (0 violations)
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- ✅ Compelling success story
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- ✅ Live demo materials
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## Prerequisites
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Run `./scripts/validate-setup.sh` to verify:
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1. Aphoria CLI installed (`aphoria --version`)
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2. StemeDB API running on `:18180`
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3. Corpus database accessible at `~/.aphoria/corpus-db/`
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4. Corpus API returns data
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5. `jq` JSON processor installed
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6. Rust toolchain available
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7. Aphoria extractors detect patterns
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## Important Notes
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1. **Read `docs/claim-extraction-example.md` first** (Day 1)
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- 15-20 minutes to understand claim extraction
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- Prevents creating garbage "observations" instead of real claims
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2. **Configure flywheel before Day 3** (see `docs/flywheel-setup.md`)
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- Switch from ephemeral to persistent mode
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- Enable pattern aggregation
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- Demonstrates learning capability
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3. **Intentional violations are educational** (Day 2)
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- You're deliberately writing bad code to test detection
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- This is normal and expected for dogfooding
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4. **Save all scan results** (Day 3-4)
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- `scan-results-v1.json` through `scan-results-v6.json`
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- Needed for before/after evidence in Day 5 documentation
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## Getting Help
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- **Aphoria CLI issues:** Check `applications/aphoria/README.md`
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- **API issues:** Verify `http://localhost:18180/health`
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- **Corpus issues:** Query `curl 'http://localhost:18180/v1/aphoria/corpus'`
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- **Common issues:** See `CHECKLIST.md` troubleshooting section
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## What Makes This Different
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This dogfood exercise demonstrates:
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- **Real authority sources** (HikariCP, PostgreSQL, OWASP)
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- **Verifiable violations** (connection exhaustion, credential exposure, validation gaps)
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- **Prevented incidents** (estimated $50K+ in production outages)
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- **Production-ready output** (final code is genuinely deployable)
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## Next Steps
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1. **Run pre-flight validation:** `./scripts/validate-setup.sh`
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2. **Read Day 1 checklist:** `cat CHECKLIST.md | head -300`
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3. **Start with claim extraction example:** `cat docs/claim-extraction-example.md`
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4. **Begin Day 1:** Follow CHECKLIST.md to create 25-30 claims
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---
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**Last Reset:** 2026-02-09 (after team evaluation)
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**Documentation Version:** v2 (includes fixes from evaluation gaps)
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**Ready for:** Fresh team run with improved documentation
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