cryptorugmunch
2f1eec2f78
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72 lines
2.1 KiB
Python
72 lines
2.1 KiB
Python
"""Pry — Reconciliation router (remaining api.py routes).
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Auto-extracted from api.py during the router-split refactor.
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"""
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# SPDX-License-Identifier: MIT
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# Copyright (c) 2026 Rug Munch Media LLC
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from __future__ import annotations
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import logging
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from typing import Any
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from fastapi import APIRouter, Body
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from errors import InvalidRequestError
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logger = logging.getLogger(__name__)
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router = APIRouter(tags=["Reconciliation"])
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@router.post(
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"/v1/reconcile",
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tags=["Reconciliation"],
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summary="Reconcile records from multiple sources into unified entities",
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)
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async def reconcile_endpoint(
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records: list[dict[str, Any]] = Body(...),
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vertical: str = Body("product"),
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threshold: float = Body(0.7),
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) -> dict[str, Any]:
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"""Reconcile records from multiple sources into matched entities.
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Matches records across sources using identity field similarity,
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normalizes to a unified vertical schema, and returns entity groups
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with confidence scores.
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Verticals: product, job, real_estate, review
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"""
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from reconciliation import VERTICAL_SCHEMAS, reconcile
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if vertical not in VERTICAL_SCHEMAS:
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raise InvalidRequestError(
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f"Unknown vertical: {vertical}. Supported: {list(VERTICAL_SCHEMAS.keys())}"
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)
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result = await reconcile(records, vertical, threshold)
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return {"success": True, "data": result}
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@router.get(
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"/v1/reconcile/schemas",
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tags=["Reconciliation"],
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summary="List supported reconciliation schemas",
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)
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async def list_schemas() -> dict[str, Any]:
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"""List all supported vertical schemas for entity reconciliation."""
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from reconciliation import VERTICAL_SCHEMAS
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schemas = {}
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for key, schema in VERTICAL_SCHEMAS.items():
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schemas[key] = {
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"name": schema["name"],
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"fields": {
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k: {fk: fv for fk, fv in v.items() if fk != "type"}
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for k, v in schema["fields"].items()
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},
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"identity_fields": schema["identity_fields"],
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}
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return {"success": True, "data": {"schemas": schemas, "total": len(schemas)}}
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