cryptorugmunch
9fee12796e
Some checks failed
- AST-extract all remaining routes from api.py into routers/*.py - Group routes by OpenAPI tag (AI, Advanced, Agency, ..., x402) - Keep existing auth/health/scraping/templates routers; add *_api.py for remaining routes of those tags - Move shared helpers/models/variables with the routes that need them - Update tests/test_api.py to import vision helpers from routers.vision - Regenerate openapi.json (186 paths) - All 497 tests pass; ruff clean
71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
"""Pry — Reconciliation router (remaining api.py routes).
|
|
|
|
Auto-extracted from api.py during the router-split refactor.
|
|
"""
|
|
|
|
# SPDX-License-Identifier: MIT
|
|
# Copyright (c) 2026 Rug Munch Media LLC
|
|
|
|
from __future__ import annotations
|
|
|
|
import logging
|
|
from typing import Any
|
|
|
|
from fastapi import APIRouter, Body
|
|
|
|
from errors import InvalidRequestError
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
router = APIRouter(tags=["Reconciliation"])
|
|
|
|
@router.post(
|
|
"/v1/reconcile",
|
|
tags=["Reconciliation"],
|
|
summary="Reconcile records from multiple sources into unified entities",
|
|
)
|
|
async def reconcile_endpoint(
|
|
records: list[dict[str, Any]] = Body(...),
|
|
vertical: str = Body("product"),
|
|
threshold: float = Body(0.7),
|
|
) -> dict[str, Any]:
|
|
"""Reconcile records from multiple sources into matched entities.
|
|
|
|
Matches records across sources using identity field similarity,
|
|
normalizes to a unified vertical schema, and returns entity groups
|
|
with confidence scores.
|
|
|
|
Verticals: product, job, real_estate, review
|
|
"""
|
|
from reconciliation import VERTICAL_SCHEMAS, reconcile
|
|
|
|
if vertical not in VERTICAL_SCHEMAS:
|
|
raise InvalidRequestError(
|
|
f"Unknown vertical: {vertical}. Supported: {list(VERTICAL_SCHEMAS.keys())}"
|
|
)
|
|
|
|
result = await reconcile(records, vertical, threshold)
|
|
return {"success": True, "data": result}
|
|
|
|
|
|
@router.get(
|
|
"/v1/reconcile/schemas",
|
|
tags=["Reconciliation"],
|
|
summary="List supported reconciliation schemas",
|
|
)
|
|
async def list_schemas() -> dict[str, Any]:
|
|
"""List all supported vertical schemas for entity reconciliation."""
|
|
from reconciliation import VERTICAL_SCHEMAS
|
|
|
|
schemas = {}
|
|
for key, schema in VERTICAL_SCHEMAS.items():
|
|
schemas[key] = {
|
|
"name": schema["name"],
|
|
"fields": {
|
|
k: {fk: fv for fk, fv in v.items() if fk != "type"}
|
|
for k, v in schema["fields"].items()
|
|
},
|
|
"identity_fields": schema["identity_fields"],
|
|
}
|
|
|
|
return {"success": True, "data": {"schemas": schemas, "total": len(schemas)}}
|