Dirk Riemann
703da9035e
Adds RequestIX.use_case_inline so callers can define ad-hoc extraction schemas in the request itself, bypassing the backend registry. The pipeline builds a fresh (Request, Response) Pydantic class pair per call via ix.use_cases.inline.build_use_case_classes; structural errors (dup field, bad identifier, choices-on-non-str, empty fields) raise IX_001_001 to match the registry-miss path. Inline wins when both use_case and use_case_inline are set. Existing REST callers see no behavioural change. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
82 lines
3.4 KiB
Markdown
82 lines
3.4 KiB
Markdown
# InfoXtractor (ix)
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Async, on-prem, LLM-powered structured information extraction microservice.
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Given a document (PDF, image, text) and a named *use case*, ix returns a structured JSON result whose shape matches the use-case schema — together with per-field provenance (OCR segment IDs, bounding boxes, cross-OCR agreement flags) that let the caller decide how much to trust each extracted value.
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**Status:** MVP deployed. Live on the home LAN at `http://192.168.68.42:8994`.
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- Full reference spec: [`docs/spec-core-pipeline.md`](docs/spec-core-pipeline.md) (aspirational; MVP is a strict subset)
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- **MVP design:** [`docs/superpowers/specs/2026-04-18-ix-mvp-design.md`](docs/superpowers/specs/2026-04-18-ix-mvp-design.md)
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- **Implementation plan:** [`docs/superpowers/plans/2026-04-18-ix-mvp-implementation.md`](docs/superpowers/plans/2026-04-18-ix-mvp-implementation.md)
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- **Deployment runbook:** [`docs/deployment.md`](docs/deployment.md)
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- Agent / development notes: [`AGENTS.md`](AGENTS.md)
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## Principles
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- **On-prem always.** LLM = Ollama, OCR = local engines (Surya first). No OpenAI / Anthropic / Azure / AWS / cloud.
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- **Grounded extraction, not DB truth.** ix returns best-effort fields + provenance; the caller decides what to trust.
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- **Transport-agnostic pipeline core.** REST + Postgres-queue adapters in parallel on one job store.
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## Submitting a job
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```bash
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curl -X POST http://192.168.68.42:8994/jobs \
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-H "Content-Type: application/json" \
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-d '{
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"use_case": "bank_statement_header",
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"ix_client_id": "mammon",
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"request_id": "some-correlation-id",
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"context": {
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"files": [{
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"url": "http://paperless.local/api/documents/42/download/",
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"headers": {"Authorization": "Token …"}
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}],
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"texts": ["<Paperless Tesseract OCR content>"]
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}
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}'
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# → {"job_id":"…","ix_id":"…","status":"pending"}
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```
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Poll `GET /jobs/{job_id}` until `status` is `done` or `error`. Optionally pass `callback_url` to receive a webhook on completion (one-shot, no retry; polling stays authoritative).
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### Ad-hoc use cases
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For one-offs where a registered use case doesn't exist yet, ship the schema inline:
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```jsonc
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{
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"use_case": "adhoc-invoice", // free-form label (logs/metrics only)
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"use_case_inline": {
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"use_case_name": "Invoice totals",
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"system_prompt": "Extract vendor and total amount.",
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"fields": [
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{"name": "vendor", "type": "str", "required": true},
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{"name": "total", "type": "decimal"},
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{"name": "currency", "type": "str", "choices": ["USD", "EUR", "CHF"]}
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]
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},
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// ...ix_client_id, request_id, context...
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}
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```
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When `use_case_inline` is set, the pipeline builds the response schema on the fly and skips the registry. Supported types: `str`, `int`, `float`, `decimal`, `date`, `datetime`, `bool`. `choices` is only allowed on `str` fields. Precedence: inline wins over `use_case` when both are present.
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Full REST surface + provenance response shape documented in the MVP design spec.
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## Running locally
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```bash
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uv sync --extra dev
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uv run pytest tests/unit -v # hermetic unit + integration suite
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IX_TEST_OLLAMA=1 uv run pytest tests/live -v # needs LAN access to Ollama + GPU
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```
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## Deploying
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```bash
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git push server main # rebuilds Docker image, restarts container, /healthz deploy gate
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python scripts/e2e_smoke.py # E2E acceptance against the live service
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```
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See [`docs/deployment.md`](docs/deployment.md) for full runbook + rollback.
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