mirror of
https://github.com/james-m-jordan/morphik-core.git
synced 2025-05-09 19:32:38 +00:00
188 lines
5.5 KiB
Python
188 lines
5.5 KiB
Python
import json
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from datetime import datetime, UTC
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from typing import Any, Dict, List, Optional, Union
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from fastapi import (
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FastAPI,
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Form,
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HTTPException,
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Depends,
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Header,
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UploadFile
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)
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from fastapi.middleware.cors import CORSMiddleware
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import jwt
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import logging
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from core.models.request import IngestTextRequest, QueryRequest
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from core.models.documents import (
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Document,
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DocumentResult,
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ChunkResult
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)
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from core.models.auth import AuthContext, EntityType
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from core.services.document_service import DocumentService
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from core.config import get_settings
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from core.database.mongo_database import MongoDatabase
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from core.vector_store.mongo_vector_store import MongoDBAtlasVectorStore
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from core.storage.s3_storage import S3Storage
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from core.parser.unstructured_parser import UnstructuredAPIParser
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from core.embedding_model.openai_embedding_model import OpenAIEmbeddingModel
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# Initialize FastAPI app
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app = FastAPI(title="DataBridge API")
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logger = logging.getLogger(__name__)
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# Add CORS middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"]
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)
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# Initialize service
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settings = get_settings()
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# Initialize components
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database = MongoDatabase(
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uri=settings.MONGODB_URI,
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db_name=settings.DATABRIDGE_DB,
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collection_name=settings.DOCUMENTS_COLLECTION
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)
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vector_store = MongoDBAtlasVectorStore(
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uri=settings.MONGODB_URI,
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database_name=settings.DATABRIDGE_DB,
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collection_name=settings.CHUNKS_COLLECTION,
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index_name=settings.VECTOR_INDEX_NAME
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)
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storage = S3Storage(
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aws_access_key=settings.AWS_ACCESS_KEY,
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aws_secret_key=settings.AWS_SECRET_ACCESS_KEY,
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region_name=settings.AWS_REGION,
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default_bucket=settings.S3_BUCKET
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)
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parser = UnstructuredAPIParser(
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api_key=settings.UNSTRUCTURED_API_KEY,
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chunk_size=settings.CHUNK_SIZE,
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chunk_overlap=settings.CHUNK_OVERLAP
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)
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embedding_model = OpenAIEmbeddingModel(
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api_key=settings.OPENAI_API_KEY,
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model_name=settings.EMBEDDING_MODEL
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)
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# Initialize document service
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document_service = DocumentService(
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database=database,
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vector_store=vector_store,
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storage=storage,
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parser=parser,
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embedding_model=embedding_model
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)
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async def verify_token(authorization: str = Header(None)) -> AuthContext:
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"""Verify JWT Bearer token."""
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if not authorization:
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raise HTTPException(
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status_code=401,
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detail="Missing authorization header",
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headers={"WWW-Authenticate": "Bearer"}
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)
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try:
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if not authorization.startswith("Bearer "):
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raise HTTPException(
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status_code=401,
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detail="Invalid authorization header"
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)
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token = authorization[7:] # Remove "Bearer "
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payload = jwt.decode(
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token,
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settings.JWT_SECRET_KEY,
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algorithms=[settings.JWT_ALGORITHM]
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)
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if datetime.fromtimestamp(payload["exp"], UTC) < datetime.now(UTC):
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raise HTTPException(status_code=401, detail="Token expired")
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return AuthContext(
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entity_type=EntityType(payload["type"]),
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entity_id=payload["entity_id"],
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app_id=payload.get("app_id"),
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permissions=set(payload.get("permissions", ["read"]))
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)
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except jwt.InvalidTokenError as e:
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raise HTTPException(status_code=401, detail=str(e))
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@app.post("/ingest/text", response_model=Document)
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async def ingest_text(
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request: IngestTextRequest,
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auth: AuthContext = Depends(verify_token)
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) -> Document:
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"""Ingest a text document."""
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try:
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return await document_service.ingest_text(request, auth)
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except PermissionError as e:
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raise HTTPException(status_code=403, detail=str(e))
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@app.post("/ingest/file", response_model=Document)
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async def ingest_file(
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file: UploadFile,
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metadata: str = Form("{}"), # JSON string of metadata
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auth: AuthContext = Depends(verify_token)
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) -> Document:
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"""Ingest a file document."""
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try:
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metadata_dict = json.loads(metadata)
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doc = await document_service.ingest_file(file, metadata_dict, auth)
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return doc # TODO: Might be lighter on network to just send the document ID.
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except PermissionError as e:
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raise HTTPException(status_code=403, detail=str(e))
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except json.JSONDecodeError:
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raise HTTPException(400, "Invalid metadata JSON")
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@app.post("/query", response_model=Union[List[ChunkResult], List[DocumentResult]])
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async def query_documents(
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request: QueryRequest,
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auth: AuthContext = Depends(verify_token)
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):
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"""Query documents with specified return type."""
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return await document_service.query(request, auth)
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@app.get("/documents", response_model=List[Document])
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async def list_documents(
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auth: AuthContext = Depends(verify_token),
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skip: int = 0,
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limit: int = 100,
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filters: Optional[Dict[str, Any]] = None
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):
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"""List accessible documents."""
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return await document_service.db.get_documents(auth, skip, limit, filters)
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@app.get("/documents/{document_id}", response_model=Document)
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async def get_document(
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document_id: str,
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auth: AuthContext = Depends(verify_token)
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):
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"""Get document by ID."""
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try:
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doc = await document_service.db.get_document(document_id, auth)
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logger.info(f"Found document: {doc}")
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if not doc:
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raise HTTPException(status_code=404, detail="Document not found")
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return doc
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except HTTPException as e:
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logger.error(f"Error getting document: {e}")
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raise e
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