# Ontology Engine — Implementation Report

**Date**: 2026-03-16
**Status**: ✅ P0-P3 complete, engine is runnable

---

## What Works

### P0: Code Runs ✅
- `pip install -e ".[all,dev]"` installs cleanly (Python 3.14)
- All 18 Python modules import without errors
- CLI `ontology-engine --help` outputs correctly with all 5 commands

### P1: Tests ✅ (93 unit + 5 integration)

| Test File | Tests | Coverage |
|---|---|---|
| test_types.py | 22 | Entity, Link, Provenance, ExtractionResult, enums |
| test_config.py | 11 | LLMConfig, DatabaseConfig, PipelineConfig, JSON/TOML loading |
| test_preprocessor.py | 7 | Filler regex, speaker extraction, full process pipeline |
| test_extractor.py | 9 | 4-pass extraction with mock LLM, dedup, filtering |
| test_validator.py | 11 | Factual correction, consistency checks, name normalization |
| test_engine.py | 5 | Ingest file/dir, date parsing, IngestResult |
| test_llm.py | 6 | LLMResponse JSON parsing (plain, markdown fence) |
| test_schema.py | 8 | DDL structure, tables, constraints, indexes |
| test_integration.py | 5 | Real Gemini API + real meeting transcript |

### P2: End-to-End ✅

Tested with real meeting transcript (`20260203_wn_meeting.txt`, ~5KB Chinese):
- **11 entities** extracted (6 Person, 5 Project)
- **5 links** (participates_in, reports_to, etc.)
- **6 action items** with owners and context
- **0 decisions** (this particular transcript was more of a management debrief than decision-making)
- Validation: **5 warnings** (missing role fields), 0 errors
- Processing time: **~74 seconds** (Gemini 2.5 Flash, 4-pass)

### P3: Polished ✅
- README rewritten with working Quick Start (install → CLI → Python library → config)
- CLI auto-loads `GEMINI_API_KEY` from env or `.env` file
- All warnings resolved (pydantic schema field shadowing)

---

## Bugs Fixed

1. **`DatabaseConfig.schema` shadowed `BaseModel.schema()`** → Renamed to `db_schema`
2. **`Provenance.must_have_target` validator didn't fire** on default `None` values → Changed from `field_validator` to `model_validator` (pydantic v2 doesn't run field validators on unset defaults)
3. **`gemini-2.0-flash` deprecated** by Google (404) → Updated default to `gemini-2.5-flash`

---

## What Doesn't Work Yet

1. **PostgreSQL storage** — Schema DDL is correct but not integration-tested (needs a running PG with pgvector, pg_trgm). The repository CRUD code should work but is untested against a real DB.
2. **Semantic validation (Layer 2)** — Placeholder as designed. Marked disabled in config (`enable_semantic_correction=False`).
3. **Decision extraction** — Extracted 0 decisions from the test transcript. Likely needs:
   - Better prompting for informal Chinese meeting style
   - Some transcripts may genuinely lack explicit decisions
4. **Coreference resolution / topic segmentation** — Disabled in tests to save API calls. Works structurally but not validated on real data.
5. **No `query.py`** — Referenced in original README but doesn't exist. Query is done through `repository.py` methods.

---

## Suggested Next Steps

1. **Test PostgreSQL storage** — Set up Supabase or local PG and test `init` + `ingest --db-url`
2. **Improve decision extraction** — Add more examples of Chinese decision patterns to the prompt
3. **Add known_entities config** — Pre-populate alias map for WhiteMirror team members
4. **Wire up pgvector** — Schema supports it, but no embedding generation yet
5. **Add cost tracking** — `ont_processing_log.cost_estimate` is defined but not populated
6. **CI/CD** — GitHub Actions for unit tests on push

---

## Git Log

```
2aff2e0 docs(readme): rewrite Quick Start with working instructions
6300a56 feat(integration): add integration tests with real Gemini API
657b718 fix(core): fix Provenance model_validator for pydantic v2 + add 93 tests
a088b38 fix(core): resolve import issues and pydantic schema field shadowing
```
