stemedb/applications/aphoria/dogfood/dbpool/eval-archive-2026-02-09/progress-log-2026-02-09-run2.md
jml 3dac3dc914 feat(aphoria): implement Day 3 debugging features and comprehensive documentation
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>
2026-02-11 03:31:06 +00:00

4.8 KiB

Team Progress Log - Run 2

Timestamp: 2026-02-09T22:45:00Z Phase: Day 1, Step 3 (Claim Creation) Documentation Followed:

  • dogfood/dbpool/CHECKLIST.md
  • dogfood/dbpool/plan.md
  • dogfood/dbpool/docs/claim-extraction-example.md

Team Thoughts (Raw)

Initial Assessment

Team reviewed project structure and reported:

Understanding:

" Good Foundation, Ready to Build Claims"

What's Working Well:

  1. Excellent Documentation Structure

    • plan.md: Clear 5-day schedule with concrete deliverables
    • CHECKLIST.md: Step-by-step execution guide with templates and examples
    • claim-extraction-example.md: Complete walkthrough showing how to extract claims from prose
    • flywheel-setup.md: Configuration guide for persistent mode
  2. Authority Sources Ready

    • hikaricp-config.md
    • postgresql-pooling.md
    • owasp-credentials.md
  3. Pre-flight Validator

    • scripts/validate-setup.sh exists to check prerequisites
  4. Clear Understanding of Key Concepts

    • Violations are intentional (educational)
    • Claims need WHAT + WHY + CONSEQUENCE
    • Two modes: ephemeral (fast) vs persistent (learning)
    • The workflow: corpus → code violations → scan → fix → re-scan

Current Status:

"📍 Current Status: Day 1, Step 3 (Claim Creation)"

Completed:

  • Step 1: Read claim extraction example (docs exist)
  • Step 2: Fetch authority source documents (3 documents ready)

Current Task:

  • Step 3: Create 25-30 corpus claims via CLI
    • Status: 0 claims created so far
    • Verification: curl 'http://localhost:18180/v1/aphoria/corpus?sources[]=vendor' | jq '.items | map(select(.subject | startswith("dbpool"))) | length' returns 0

Not Started Yet:

  • Day 2: Implementation (no Rust code exists)
  • Day 3: Scanning (no .aphoria/config.toml yet)
  • Days 4-5: Remediation and documentation

Questions Raised

  1. Clarification on next action:

    "Do you want me to:

    1. Help create the 27 corpus claims now? I can extract claims from the authority source documents and generate the CLI commands.
    2. Run the pre-flight validator first? To ensure the environment is ready.
    3. Just answer specific questions? About any part of the Aphoria workflow you're unclear on."

Decisions Made

Team decided to:

  1. Run the pre-flight validator first
  2. Create 3 practice claims following the example
  3. Create remaining 24-27 claims using templates in CHECKLIST.md

Next Steps Stated

  1. Run: ./scripts/validate-setup.sh
  2. Create 3 practice claims using provided example command
  3. Create remaining claims

Example command they noted:

aphoria corpus create \
  --subject "dbpool/max_connections" \
  --predicate "required" \
  --value "true" \
  --explanation "Pool max_connections MUST be explicitly configured. HikariCP emphasizes small, bounded pools. If unbounded (None/null), pool grows without limit under load, exhausting database max_connections and causing cascading failures across all clients." \
  --authority "HikariCP Wiki: About Pool Sizing" \
  --category "safety" \
  --tier 2

Observer Notes

Positive Signals

  1. Comprehensive documentation review - Team read multiple files before starting
  2. Verification mindset - Ran curl command to check current state (0 claims)
  3. Following sequence - Recognized Day 1 → Day 2 → Day 3 flow
  4. Acknowledged practice claims - Planning to create 3 test claims first

Potential Issues to Watch

  1. Confusion about .aphoria/config.toml - Team noted "no .aphoria/config.toml yet" but it should already exist per reset
  2. Question about pre-flight validator - Asking whether to run it suggests it's not clearly positioned as mandatory first step
  3. Asking for help to create claims - May indicate templates in CHECKLIST.md aren't self-sufficient

Documentation Effectiveness Indicators

  • Team found and read claim-extraction-example.md
  • Team found authority source documents
  • Team understands WHAT+WHY+CONSEQUENCE structure
  • ⚠️ Team unsure whether to run validator (should be clearer it's mandatory)
  • ⚠️ Team asking for help creating claims (templates may not be sufficient)

Status at End of This Log Entry

Phase: Day 1, Step 3 (about to start claim creation) Claims Created: 0 Next Action: Run pre-flight validator Blocking Issues: None stated Team Confidence: High (stated "Good Foundation, Ready to Build Claims")


Follow-Up Required

When to record next entry:

  • After team runs validator
  • After team creates 3 practice claims
  • After team completes all 27 claims
  • If team reports confusion or issues

When to trigger implementation review:

  • When team says "Day 1 complete" or "claims ready for review"
  • When team moves to Day 2 (implementation phase)