mirror of
https://github.com/MODSetter/SurfSense.git
synced 2026-06-08 20:25:19 +02:00
refactor: update API endpoint paths to remove trailing slashes
- Modified various FastAPI route definitions to remove trailing slashes for consistency across the application. - Updated corresponding fetch calls in the frontend to align with the new endpoint structure. - Ensured that all affected routes maintain their functionality without trailing slashes.
This commit is contained in:
DESKTOP-RTLN3BA\$punk
parent
170b3cb167
commit
ecd07d6155
41 changed files with 191 additions and 148 deletions
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@ -69,7 +69,7 @@ def generate_pkce_pair() -> tuple[str, str]:
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return code_verifier, code_challenge
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@router.get("/auth/airtable/connector/add/")
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@router.get("/auth/airtable/connector/add")
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async def connect_airtable(space_id: int, user: User = Depends(current_active_user)):
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"""
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Initiate Airtable OAuth flow.
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@ -131,7 +131,7 @@ async def connect_airtable(space_id: int, user: User = Depends(current_active_us
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) from e
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@router.get("/auth/airtable/connector/callback/")
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@router.get("/auth/airtable/connector/callback")
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async def airtable_callback(
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request: Request,
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code: str,
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@ -130,7 +130,7 @@ async def handle_chat_data(
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return response
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@router.post("/chats/", response_model=ChatRead)
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@router.post("/chats", response_model=ChatRead)
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async def create_chat(
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chat: ChatCreate,
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session: AsyncSession = Depends(get_async_session),
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@ -164,7 +164,7 @@ async def create_chat(
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) from None
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@router.get("/chats/", response_model=list[ChatReadWithoutMessages])
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@router.get("/chats", response_model=list[ChatReadWithoutMessages])
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async def read_chats(
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skip: int = 0,
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limit: int = 100,
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@ -38,7 +38,7 @@ os.environ["UNSTRUCTURED_HAS_PATCHED_LOOP"] = "1"
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router = APIRouter()
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@router.post("/documents/")
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@router.post("/documents")
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async def create_documents(
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request: DocumentsCreate,
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session: AsyncSession = Depends(get_async_session),
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@ -147,7 +147,7 @@ async def create_documents_file_upload(
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) from e
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@router.get("/documents/", response_model=PaginatedResponse[DocumentRead])
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@router.get("/documents", response_model=PaginatedResponse[DocumentRead])
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async def read_documents(
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skip: int | None = None,
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page: int | None = None,
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@ -248,7 +248,7 @@ async def read_documents(
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) from e
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@router.get("/documents/search/", response_model=PaginatedResponse[DocumentRead])
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@router.get("/documents/search", response_model=PaginatedResponse[DocumentRead])
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async def search_documents(
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title: str,
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skip: int | None = None,
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@ -353,6 +353,103 @@ async def search_documents(
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) from e
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@router.get("/documents/type-counts")
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async def get_document_type_counts(
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search_space_id: int | None = None,
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session: AsyncSession = Depends(get_async_session),
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user: User = Depends(current_active_user),
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):
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"""
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Get counts of documents by type for the current user.
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Args:
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search_space_id: If provided, restrict counts to a specific search space.
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session: Database session (injected).
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user: Current authenticated user (injected).
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Returns:
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Dict mapping document types to their counts.
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"""
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try:
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from sqlalchemy import func
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query = (
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select(Document.document_type, func.count(Document.id))
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.join(SearchSpace)
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.filter(SearchSpace.user_id == user.id)
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.group_by(Document.document_type)
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)
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if search_space_id is not None:
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query = query.filter(Document.search_space_id == search_space_id)
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result = await session.execute(query)
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type_counts = dict(result.all())
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return type_counts
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except Exception as e:
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raise HTTPException(
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status_code=500, detail=f"Failed to fetch document type counts: {e!s}"
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) from e
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@router.get("/documents/by-chunk/{chunk_id}", response_model=DocumentWithChunksRead)
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async def get_document_by_chunk_id(
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chunk_id: int,
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session: AsyncSession = Depends(get_async_session),
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user: User = Depends(current_active_user),
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):
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"""
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Retrieves a document based on a chunk ID, including all its chunks ordered by creation time.
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The document's embedding and chunk embeddings are excluded from the response.
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"""
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try:
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# First, get the chunk and verify it exists
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chunk_result = await session.execute(select(Chunk).filter(Chunk.id == chunk_id))
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chunk = chunk_result.scalars().first()
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if not chunk:
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raise HTTPException(
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status_code=404, detail=f"Chunk with id {chunk_id} not found"
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)
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# Get the associated document and verify ownership
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document_result = await session.execute(
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select(Document)
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.options(selectinload(Document.chunks))
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.join(SearchSpace)
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.filter(Document.id == chunk.document_id, SearchSpace.user_id == user.id)
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)
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document = document_result.scalars().first()
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if not document:
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raise HTTPException(
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status_code=404,
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detail="Document not found or you don't have access to it",
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)
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# Sort chunks by creation time
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sorted_chunks = sorted(document.chunks, key=lambda x: x.created_at)
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# Return the document with its chunks
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return DocumentWithChunksRead(
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id=document.id,
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title=document.title,
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document_type=document.document_type,
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document_metadata=document.document_metadata,
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content=document.content,
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created_at=document.created_at,
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search_space_id=document.search_space_id,
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chunks=sorted_chunks,
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)
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except HTTPException:
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raise
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except Exception as e:
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raise HTTPException(
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status_code=500, detail=f"Failed to retrieve document: {e!s}"
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) from e
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@router.get("/documents/{document_id}", response_model=DocumentRead)
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async def read_document(
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document_id: int,
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@ -464,100 +561,3 @@ async def delete_document(
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raise HTTPException(
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status_code=500, detail=f"Failed to delete document: {e!s}"
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) from e
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@router.get("/documents/type-counts/")
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async def get_document_type_counts(
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search_space_id: int | None = None,
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session: AsyncSession = Depends(get_async_session),
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user: User = Depends(current_active_user),
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):
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"""
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Get counts of documents by type for the current user.
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Args:
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search_space_id: If provided, restrict counts to a specific search space.
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session: Database session (injected).
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user: Current authenticated user (injected).
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Returns:
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Dict mapping document types to their counts.
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"""
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try:
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from sqlalchemy import func
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query = (
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select(Document.document_type, func.count(Document.id))
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.join(SearchSpace)
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.filter(SearchSpace.user_id == user.id)
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.group_by(Document.document_type)
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)
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if search_space_id is not None:
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query = query.filter(Document.search_space_id == search_space_id)
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result = await session.execute(query)
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type_counts = dict(result.all())
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return type_counts
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except Exception as e:
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raise HTTPException(
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status_code=500, detail=f"Failed to fetch document type counts: {e!s}"
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) from e
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@router.get("/documents/by-chunk/{chunk_id}", response_model=DocumentWithChunksRead)
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async def get_document_by_chunk_id(
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chunk_id: int,
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session: AsyncSession = Depends(get_async_session),
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user: User = Depends(current_active_user),
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):
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"""
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Retrieves a document based on a chunk ID, including all its chunks ordered by creation time.
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The document's embedding and chunk embeddings are excluded from the response.
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"""
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try:
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# First, get the chunk and verify it exists
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chunk_result = await session.execute(select(Chunk).filter(Chunk.id == chunk_id))
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chunk = chunk_result.scalars().first()
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if not chunk:
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raise HTTPException(
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status_code=404, detail=f"Chunk with id {chunk_id} not found"
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)
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# Get the associated document and verify ownership
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document_result = await session.execute(
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select(Document)
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.options(selectinload(Document.chunks))
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.join(SearchSpace)
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.filter(Document.id == chunk.document_id, SearchSpace.user_id == user.id)
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)
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document = document_result.scalars().first()
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if not document:
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raise HTTPException(
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status_code=404,
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detail="Document not found or you don't have access to it",
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)
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# Sort chunks by creation time
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sorted_chunks = sorted(document.chunks, key=lambda x: x.created_at)
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# Return the document with its chunks
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return DocumentWithChunksRead(
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id=document.id,
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title=document.title,
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document_type=document.document_type,
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document_metadata=document.document_metadata,
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content=document.content,
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created_at=document.created_at,
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search_space_id=document.search_space_id,
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chunks=sorted_chunks,
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)
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except HTTPException:
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raise
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except Exception as e:
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raise HTTPException(
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status_code=500, detail=f"Failed to retrieve document: {e!s}"
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) from e
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@ -53,7 +53,7 @@ def get_google_flow():
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) from e
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@router.get("/auth/google/calendar/connector/add/")
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@router.get("/auth/google/calendar/connector/add")
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async def connect_calendar(space_id: int, user: User = Depends(current_active_user)):
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try:
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if not space_id:
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@ -83,7 +83,7 @@ async def connect_calendar(space_id: int, user: User = Depends(current_active_us
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) from e
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@router.get("/auth/google/calendar/connector/callback/")
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@router.get("/auth/google/calendar/connector/callback")
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async def calendar_callback(
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request: Request,
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code: str,
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@ -52,7 +52,7 @@ def get_google_flow():
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return flow
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@router.get("/auth/google/gmail/connector/add/")
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@router.get("/auth/google/gmail/connector/add")
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async def connect_gmail(space_id: int, user: User = Depends(current_active_user)):
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try:
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if not space_id:
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@ -82,7 +82,7 @@ async def connect_gmail(space_id: int, user: User = Depends(current_active_user)
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) from e
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@router.get("/auth/google/gmail/connector/callback/")
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@router.get("/auth/google/gmail/connector/callback")
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async def gmail_callback(
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request: Request,
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code: str,
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@ -87,7 +87,7 @@ class LLMPreferencesRead(BaseModel):
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strategic_llm: LLMConfigRead | None = None
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@router.post("/llm-configs/", response_model=LLMConfigRead)
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@router.post("/llm-configs", response_model=LLMConfigRead)
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async def create_llm_config(
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llm_config: LLMConfigCreate,
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session: AsyncSession = Depends(get_async_session),
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@ -112,7 +112,7 @@ async def create_llm_config(
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) from e
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@router.get("/llm-configs/", response_model=list[LLMConfigRead])
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@router.get("/llm-configs", response_model=list[LLMConfigRead])
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async def read_llm_configs(
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search_space_id: int,
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skip: int = 0,
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@ -13,7 +13,7 @@ from app.utils.check_ownership import check_ownership
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router = APIRouter()
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@router.post("/logs/", response_model=LogRead)
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@router.post("/logs", response_model=LogRead)
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async def create_log(
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log: LogCreate,
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session: AsyncSession = Depends(get_async_session),
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@ -38,7 +38,7 @@ async def create_log(
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) from e
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@router.get("/logs/", response_model=list[LogRead])
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@router.get("/logs", response_model=list[LogRead])
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async def read_logs(
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skip: int = 0,
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limit: int = 100,
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@ -21,7 +21,7 @@ from app.utils.check_ownership import check_ownership
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router = APIRouter()
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@router.post("/podcasts/", response_model=PodcastRead)
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@router.post("/podcasts", response_model=PodcastRead)
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async def create_podcast(
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podcast: PodcastCreate,
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session: AsyncSession = Depends(get_async_session),
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@ -54,7 +54,7 @@ async def create_podcast(
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) from None
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@router.get("/podcasts/", response_model=list[PodcastRead])
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@router.get("/podcasts", response_model=list[PodcastRead])
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async def read_podcasts(
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skip: int = 0,
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limit: int = 100,
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@ -171,7 +171,7 @@ async def generate_chat_podcast_with_new_session(
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logging.error(f"Error generating podcast from chat: {e!s}")
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@router.post("/podcasts/generate/")
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@router.post("/podcasts/generate")
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async def generate_podcast(
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request: PodcastGenerateRequest,
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session: AsyncSession = Depends(get_async_session),
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|
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@ -70,7 +70,7 @@ class GitHubPATRequest(BaseModel):
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# --- New Endpoint to list GitHub Repositories ---
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@router.post("/github/repositories/", response_model=list[dict[str, Any]])
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@router.post("/github/repositories", response_model=list[dict[str, Any]])
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async def list_github_repositories(
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pat_request: GitHubPATRequest,
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user: User = Depends(current_active_user), # Ensure the user is logged in
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@ -96,7 +96,7 @@ async def list_github_repositories(
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) from e
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@router.post("/search-source-connectors/", response_model=SearchSourceConnectorRead)
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@router.post("/search-source-connectors", response_model=SearchSourceConnectorRead)
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async def create_search_source_connector(
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connector: SearchSourceConnectorCreate,
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search_space_id: int = Query(
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@ -189,9 +189,7 @@ async def create_search_source_connector(
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) from e
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@router.get(
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"/search-source-connectors/", response_model=list[SearchSourceConnectorRead]
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)
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@router.get("/search-source-connectors", response_model=list[SearchSourceConnectorRead])
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async def read_search_source_connectors(
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skip: int = 0,
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limit: int = 100,
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|
|
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@ -10,7 +10,7 @@ from app.utils.check_ownership import check_ownership
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router = APIRouter()
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@router.post("/searchspaces/", response_model=SearchSpaceRead)
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@router.post("/searchspaces", response_model=SearchSpaceRead)
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async def create_search_space(
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search_space: SearchSpaceCreate,
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session: AsyncSession = Depends(get_async_session),
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|
|
@ -31,7 +31,7 @@ async def create_search_space(
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) from e
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@router.get("/searchspaces/", response_model=list[SearchSpaceRead])
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@router.get("/searchspaces", response_model=list[SearchSpaceRead])
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async def read_search_spaces(
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skip: int = 0,
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limit: int = 200,
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|
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|
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@ -131,7 +131,7 @@ const handler: PlasmoMessaging.MessageHandler = async (req, res) => {
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};
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|
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const response = await fetch(
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`${process.env.PLASMO_PUBLIC_BACKEND_URL}/api/v1/documents/`,
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`${process.env.PLASMO_PUBLIC_BACKEND_URL}/api/v1/documents`,
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requestOptions
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);
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const resp = await response.json();
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|
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@ -123,7 +123,7 @@ const handler: PlasmoMessaging.MessageHandler = async (req, res) => {
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};
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const response = await fetch(
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`${process.env.PLASMO_PUBLIC_BACKEND_URL}/api/v1/documents/`,
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`${process.env.PLASMO_PUBLIC_BACKEND_URL}/api/v1/documents`,
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requestOptions
|
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);
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const resp = await response.json();
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|
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|
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@ -47,7 +47,7 @@ const HomePage = () => {
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const token = await storage.get("token");
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try {
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const response = await fetch(
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`${process.env.PLASMO_PUBLIC_BACKEND_URL}/api/v1/searchspaces/`,
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`${process.env.PLASMO_PUBLIC_BACKEND_URL}/api/v1/searchspaces`,
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{
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headers: {
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Authorization: `Bearer ${token}`,
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|
|
|
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|
|
@ -140,7 +140,7 @@ export default function ChatsPageClient({ searchSpaceId }: ChatsPageClientProps)
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|
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// Fetch all chats for this search space
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/chats/?search_space_id=${searchSpaceId}`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/chats?search_space_id=${searchSpaceId}`,
|
||||
{
|
||||
headers: {
|
||||
Authorization: `Bearer ${token}`,
|
||||
|
|
@ -285,7 +285,7 @@ export default function ChatsPageClient({ searchSpaceId }: ChatsPageClientProps)
|
|||
};
|
||||
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/podcasts/generate/`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/podcasts/generate`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
|
|
|
|||
|
|
@ -102,6 +102,9 @@ export default function BaiduSearchApiPage() {
|
|||
config,
|
||||
is_indexable: false,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -67,6 +67,9 @@ export default function ClickUpConnectorPage() {
|
|||
CLICKUP_API_TOKEN: values.api_token,
|
||||
},
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
};
|
||||
|
||||
await createConnector(connectorData, parseInt(searchSpaceId));
|
||||
|
|
|
|||
|
|
@ -88,6 +88,9 @@ export default function ConfluenceConnectorPage() {
|
|||
},
|
||||
is_indexable: true,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -82,6 +82,9 @@ export default function DiscordConnectorPage() {
|
|||
},
|
||||
is_indexable: true,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -177,7 +177,10 @@ export default function ElasticsearchConnectorPage() {
|
|||
name: values.name,
|
||||
connector_type: EnumConnectorName.ELASTICSEARCH_CONNECTOR,
|
||||
is_indexable: true,
|
||||
search_space_id: searchSpaceIdNum,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
config,
|
||||
};
|
||||
|
||||
|
|
@ -464,7 +467,7 @@ export default function ElasticsearchConnectorPage() {
|
|||
<div className="rounded-lg border bg-muted/50 p-3">
|
||||
<h4 className="text-sm font-medium mb-2">Selected Indices:</h4>
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{stringToArray(form.watch("indices")).map((index) => (
|
||||
{stringToArray(form.watch("indices") ?? "").map((index) => (
|
||||
<Badge key={index} variant="secondary" className="text-xs">
|
||||
{index}
|
||||
</Badge>
|
||||
|
|
@ -543,7 +546,7 @@ export default function ElasticsearchConnectorPage() {
|
|||
<div className="rounded-lg border bg-muted/50 p-3">
|
||||
<h4 className="text-sm font-medium mb-2">Search Fields:</h4>
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{stringToArray(form.watch("search_fields")).map((field) => (
|
||||
{stringToArray(form.watch("search_fields") ?? "").map((field) => (
|
||||
<Badge key={field} variant="outline" className="text-xs">
|
||||
{field}
|
||||
</Badge>
|
||||
|
|
|
|||
|
|
@ -107,7 +107,7 @@ export default function GithubConnectorPage() {
|
|||
}
|
||||
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/github/repositories/`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/github/repositories`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
|
|
@ -158,6 +158,9 @@ export default function GithubConnectorPage() {
|
|||
},
|
||||
is_indexable: true,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -101,6 +101,9 @@ export default function JiraConnectorPage() {
|
|||
},
|
||||
is_indexable: true,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -86,6 +86,9 @@ export default function LinearConnectorPage() {
|
|||
},
|
||||
is_indexable: true,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -74,6 +74,9 @@ export default function LinkupApiPage() {
|
|||
},
|
||||
is_indexable: false,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -99,6 +99,9 @@ export default function LumaConnectorPage() {
|
|||
},
|
||||
is_indexable: true,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -81,6 +81,9 @@ export default function NotionConnectorPage() {
|
|||
},
|
||||
is_indexable: true,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -122,6 +122,9 @@ export default function SearxngConnectorPage() {
|
|||
config,
|
||||
is_indexable: false,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -74,6 +74,9 @@ export default function SerperApiPage() {
|
|||
},
|
||||
is_indexable: false,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -81,6 +81,9 @@ export default function SlackConnectorPage() {
|
|||
},
|
||||
is_indexable: true,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -74,6 +74,9 @@ export default function TavilyApiPage() {
|
|||
},
|
||||
is_indexable: false,
|
||||
last_indexed_at: null,
|
||||
periodic_indexing_enabled: false,
|
||||
indexing_frequency_minutes: null,
|
||||
next_scheduled_at: null,
|
||||
},
|
||||
parseInt(searchSpaceId)
|
||||
);
|
||||
|
|
|
|||
|
|
@ -64,7 +64,7 @@ export default function WebpageCrawler() {
|
|||
|
||||
// Make API call to backend
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/documents/`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/documents`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
|
|
|
|||
|
|
@ -73,7 +73,7 @@ export default function YouTubeVideoAdder() {
|
|||
|
||||
// Make API call to backend
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/documents/`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/documents`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
|
|
|
|||
|
|
@ -130,7 +130,7 @@ export default function PodcastsPageClient({ searchSpaceId }: PodcastsPageClient
|
|||
|
||||
// Fetch all podcasts for this search space
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/podcasts/`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/podcasts`,
|
||||
{
|
||||
headers: {
|
||||
Authorization: `Bearer ${token}`,
|
||||
|
|
|
|||
|
|
@ -90,7 +90,7 @@ export function AppSidebarProvider({
|
|||
if (typeof window === "undefined") return;
|
||||
|
||||
const chats: Chat[] = await apiClient.get<Chat[]>(
|
||||
`api/v1/chats/?limit=5&skip=0&search_space_id=${searchSpaceId}`
|
||||
`api/v1/chats?limit=5&skip=0&search_space_id=${searchSpaceId}`
|
||||
);
|
||||
|
||||
// Sort chats by created_at in descending order (newest first)
|
||||
|
|
|
|||
|
|
@ -90,7 +90,7 @@ export function useChatAPI({ token, search_space_id }: UseChatAPIProps) {
|
|||
|
||||
try {
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/chats/`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/chats`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
|
|
|
|||
|
|
@ -177,7 +177,7 @@ export function useConnectorEditPage(connectorId: number, searchSpaceId: string)
|
|||
const token = localStorage.getItem("surfsense_bearer_token");
|
||||
if (!token) throw new Error("No auth token");
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/github/repositories/`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/github/repositories`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
|
|
|
|||
|
|
@ -33,7 +33,7 @@ export const ConnectorService = {
|
|||
// Create a new connector
|
||||
async createConnector(data: CreateConnectorRequest): Promise<Connector> {
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/search-source-connectors/`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/search-source-connectors`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
|
|
@ -55,7 +55,7 @@ export const ConnectorService = {
|
|||
// Get all connectors
|
||||
async getConnectors(skip = 0, limit = 100): Promise<Connector[]> {
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/search-source-connectors/?skip=${skip}&limit=${limit}`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/search-source-connectors?skip=${skip}&limit=${limit}`,
|
||||
{
|
||||
headers: {
|
||||
Authorization: `Bearer ${localStorage.getItem("surfsense_bearer_token")}`,
|
||||
|
|
|
|||
|
|
@ -31,7 +31,7 @@ export const useDocumentTypes = (searchSpaceId?: number, lazy: boolean = false)
|
|||
|
||||
// Build URL with optional search_space_id query parameter
|
||||
const url = new URL(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/documents/type-counts/`
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/documents/type-counts`
|
||||
);
|
||||
if (spaceId !== undefined) {
|
||||
url.searchParams.append("search_space_id", spaceId.toString());
|
||||
|
|
|
|||
|
|
@ -160,7 +160,7 @@ export function useDocuments(searchSpaceId: number, options?: UseDocumentsOption
|
|||
}
|
||||
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/documents/search/?${params.toString()}`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/documents/search?${params.toString()}`,
|
||||
{
|
||||
headers: {
|
||||
Authorization: `Bearer ${localStorage.getItem("surfsense_bearer_token")}`,
|
||||
|
|
@ -229,7 +229,7 @@ export function useDocuments(searchSpaceId: number, options?: UseDocumentsOption
|
|||
});
|
||||
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/documents/type-counts/?${params.toString()}`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/documents/type-counts?${params.toString()}`,
|
||||
{
|
||||
headers: {
|
||||
Authorization: `Bearer ${localStorage.getItem("surfsense_bearer_token")}`,
|
||||
|
|
|
|||
|
|
@ -61,7 +61,7 @@ export function useLLMConfigs(searchSpaceId: number | null) {
|
|||
try {
|
||||
setLoading(true);
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/llm-configs/?search_space_id=${searchSpaceId}`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/llm-configs?search_space_id=${searchSpaceId}`,
|
||||
{
|
||||
headers: {
|
||||
Authorization: `Bearer ${localStorage.getItem("surfsense_bearer_token")}`,
|
||||
|
|
@ -92,7 +92,7 @@ export function useLLMConfigs(searchSpaceId: number | null) {
|
|||
const createLLMConfig = async (config: CreateLLMConfig): Promise<LLMConfig | null> => {
|
||||
try {
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/llm-configs/`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/llm-configs`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
|
|
|
|||
|
|
@ -96,7 +96,7 @@ export function useLogs(searchSpaceId?: number, filters: LogFilters = {}) {
|
|||
if (options.limit !== undefined) params.append("limit", options.limit.toString());
|
||||
|
||||
const response = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/logs/?${params}`,
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/logs?${params}`,
|
||||
{
|
||||
headers: {
|
||||
Authorization: `Bearer ${localStorage.getItem("surfsense_bearer_token")}`,
|
||||
|
|
@ -147,7 +147,7 @@ export function useLogs(searchSpaceId?: number, filters: LogFilters = {}) {
|
|||
// Function to create a new log
|
||||
const createLog = useCallback(async (logData: Omit<Log, "id" | "created_at">) => {
|
||||
try {
|
||||
const response = await fetch(`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/logs/`, {
|
||||
const response = await fetch(`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/logs`, {
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
Authorization: `Bearer ${localStorage.getItem("surfsense_bearer_token")}`,
|
||||
|
|
|
|||
|
|
@ -74,7 +74,7 @@ export const useSearchSourceConnectors = (lazy: boolean = false, searchSpaceId?:
|
|||
|
||||
// Build URL with optional search_space_id query parameter
|
||||
const url = new URL(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/search-source-connectors/`
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/search-source-connectors`
|
||||
);
|
||||
if (spaceId !== undefined) {
|
||||
url.searchParams.append("search_space_id", spaceId.toString());
|
||||
|
|
@ -184,7 +184,7 @@ export const useSearchSourceConnectors = (lazy: boolean = false, searchSpaceId?:
|
|||
|
||||
// Add search_space_id as a query parameter
|
||||
const url = new URL(
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/search-source-connectors/`
|
||||
`${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/search-source-connectors`
|
||||
);
|
||||
url.searchParams.append("search_space_id", spaceId.toString());
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue