Ilyas KHIAT commited on
Commit
7495086
·
1 Parent(s): 3186d0c

delete docs

Browse files
Files changed (2) hide show
  1. main.py +10 -0
  2. rag.py +6 -3
main.py CHANGED
@@ -91,6 +91,7 @@ async def upload_file(file: UploadFile, enterprise_data: Json[EnterpriseData]):
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  "file_name":file.filename,
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  "enterprise_id": enterprise_data.id,
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  "number_of_chunks": len(text_chunks),
 
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  }
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  else:
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  raise HTTPException(status_code=500, detail="Could not create vector store")
@@ -114,6 +115,15 @@ def get_documents(enterprise_id: str):
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  except Exception as e:
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  raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}")
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  @app.delete("/documents/all/{enterprise_id}")
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  def delete_all_documents(enterprise_id: str):
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  try:
 
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  "file_name":file.filename,
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  "enterprise_id": enterprise_data.id,
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  "number_of_chunks": len(text_chunks),
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+ "filename_id":vector_store["filename_id"]
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  }
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  else:
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  raise HTTPException(status_code=500, detail="Could not create vector store")
 
115
  except Exception as e:
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  raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}")
117
 
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+ @app.delete("/documents/{enterprise_id}/{filename_id}")
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+ def delete_document(enterprise_id: str, filename_id: str):
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+ try:
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+ for ids in index.list(prefix=f"{filename_id}_", namespace=enterprise_id):
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+ index.delete(ids=ids, namespace=enterprise_id)
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+ return {"message": "Document deleted", "chunks_deleted": ids}
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+ except Exception as e:
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+ raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}")
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+
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  @app.delete("/documents/all/{enterprise_id}")
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  def delete_all_documents(enterprise_id: str):
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  try:
rag.py CHANGED
@@ -7,6 +7,7 @@ from langchain_core.documents import Document
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  from langchain_openai import ChatOpenAI
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  from langchain_core.output_parsers import StrOutputParser
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  from langchain_core.prompts import PromptTemplate
 
10
 
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  import unicodedata
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@@ -47,18 +48,20 @@ def get_vectorstore(text_chunks,filename, file_type,namespace,index):
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  uuids = []
48
 
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  for i, chunk in enumerate(text_chunks):
 
 
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  document = Document(
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  page_content=chunk,
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- metadata={"filename":filename,"file_type":file_type},
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  )
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- clean_filename = remove_non_standard_ascii(file_name)
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  uuid = f"{clean_filename}_{i}"
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  uuids.append(uuid)
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  documents.append(document)
58
 
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  vector_store.add_documents(documents=documents, ids=uuids)
60
 
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- return True
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  except Exception as e:
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  print(e)
 
7
  from langchain_openai import ChatOpenAI
8
  from langchain_core.output_parsers import StrOutputParser
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  from langchain_core.prompts import PromptTemplate
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+ from uuid import uuid4
11
 
12
  import unicodedata
13
 
 
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  uuids = []
49
 
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  for i, chunk in enumerate(text_chunks):
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+ clean_filename = remove_non_standard_ascii(file_name)
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+
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  document = Document(
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  page_content=chunk,
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+ metadata={"filename":filename,"file_type":file_type, "filename_id":clean_filename},
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  )
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+
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  uuid = f"{clean_filename}_{i}"
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  uuids.append(uuid)
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  documents.append(document)
61
 
62
  vector_store.add_documents(documents=documents, ids=uuids)
63
 
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+ return {"filename_id":clean_filename}
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  except Exception as e:
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  print(e)