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Indexing Router Integration with VectorDBClient and Pinecone API integration #24

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Sep 14, 2025
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Indexing Router Integration with VectorDBClient and Pinecone API integration #24

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25 changes: 21 additions & 4 deletions api/indexing_router.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
from fastapi import APIRouter, HTTPException, status, Request
from pydantic import BaseModel
from config.settings import settings
from services.vector_db_service import VectorDBService
from services.vector_db_service import VectorDBClient
from services.embedding_service import embed_texts_batched
from services.chunking_service import chunk_text
from services.parsing_service import extract_text_from_pdf, extract_text_from_docx
Expand All @@ -25,7 +25,22 @@ class IndexResponse(BaseModel):

@router.post("/index", response_model=IndexResponse, status_code=201)
def index(request: IndexRequest, req: Request):
vdb = VectorDBService()
import logging
logger = logging.getLogger("indexing_router")
vdb = VectorDBClient()
logger.info("Pinecone VectorDBClient instantiated.")
# Ensure index is created before upsert
import re
def sanitize_index_name(name: str) -> str:
name = name.lower()
name = re.sub(r'[^a-z0-9\-]', '-', name)
name = re.sub(r'-+', '-', name)
name = name.strip('-')
return name

index_name = sanitize_index_name(request.project_id)
vdb.create_index(index_name=index_name)
logger.info(f"Pinecone index ensured for project_id={request.project_id}.")
indexed_chunks = 0
sources_indexed = 0
skipped_sources = 0
Expand Down Expand Up @@ -68,10 +83,12 @@ def index(request: IndexRequest, req: Request):
raise HTTPException(status_code=500, detail="EMBEDDING_DIMENSION_MISMATCH")
# Upsert
try:
vdb.upsert(namespace=request.project_id, ids=ids, vectors=vectors, metadata=metadata)
logger.info(f"Calling Pinecone upsert_vectors for project_id={request.project_id}, {len(ids)} vectors.")
vdb.upsert_vectors(vectors, ids)
except ValueError as e:
raise HTTPException(status_code=422, detail=str(e))
except Exception:
except Exception as e:
logger.error(f"Pinecone upsert_vectors failed: {e}")
raise HTTPException(status_code=500, detail="VECTOR_DB_UPSERT_FAILED")
indexed_chunks += len(chunks)
sources_indexed += 1
Expand Down