Tasks 5-7: eval harness, FastAPI backend, Paper & Ink UI- src/eval/ — precision/recall/F1 harness with type-aware comparators,micro/macro F1, CSV + markdown reports, --model benchmark flag- src/api/ — FastAPI backend with /extract, /schemas, /health,request-ID middleware, typed error envelope, injectable extractor- ui/ — Vite + React + TS + Tailwind + Motion + React Three FiberPaper & Ink editorial UI with 3D paper hero, dark/light mode,confidence inkwell, wax-stamp metrics, kinetic typography- 95 passing tests (up from 54); UI is a separate npm workspace
557ab38 | """Schema discovery routes. | |
| GET /schemas -> list of registered document types | |
| GET /schemas/{doc_type} -> full JSON Schema for that type | |
| The JSON Schema is what OpenAI's structured outputs uses internally — exposing | |
| it lets clients validate uploads client-side, or auto-generate forms. | |
| """ | |
| from __future__ import annotations | |
| from fastapi import APIRouter | |
| from src.api.errors import UnsupportedDocType | |
| from src.schemas.registry import get_json_schema, list_doc_types | |
| router = APIRouter(prefix="/schemas", tags=["schemas"]) | |
| def list_schemas() -> dict: | |
| """Return all registered document type keys.""" | |
| return {"doc_types": list_doc_types()} | |
| def get_schema_json(doc_type: str) -> dict: | |
| """Return the JSON Schema for one document type.""" | |
| try: | |
| return get_json_schema(doc_type) | |
| except KeyError as e: | |
| raise UnsupportedDocType(str(e), details={"doc_type": doc_type}) from e | |