Spaces:
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Sleeping
FauziIsyrinApridal
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Commit
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542a0cb
1
Parent(s):
4d1c64a
..
Browse files- app.py +49 -2
- app/document_processor.py +2 -45
app.py
CHANGED
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@@ -2,9 +2,12 @@ import streamlit as st
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import os
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from dotenv import load_dotenv
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from langsmith import traceable
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from app.chat import initialize_session_state, display_chat_history
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from app.data_loader import get_data, load_docs
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from app.document_processor import process_documents, save_vector_store_to_supabase, load_vector_store_from_supabase
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from app.prompts import sahabat_prompt
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from app.db import supabase
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from langchain_community.llms import Replicate
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@@ -14,9 +17,53 @@ from langchain_community.document_transformers import LongContextReorder
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load_dotenv()
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BUCKET_NAME = "pnp-bot-storage-archive"
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VECTOR_STORE_PREFIX = "vector_store"
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def reorder_embedding(docs):
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"""Reorder documents for long context retrieval."""
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import os
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from dotenv import load_dotenv
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from langsmith import traceable
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from datetime import datetime
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from typing import List, Dict, Optional
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from app.chat import initialize_session_state, display_chat_history
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from app.data_loader import get_data, list_all_files, load_docs
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from app.document_processor import process_documents, save_vector_store_to_supabase, load_vector_store_from_supabase
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from app.prompts import sahabat_prompt
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from app.db import supabase
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from langchain_community.llms import Replicate
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load_dotenv()
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BUCKET_NAME = "pnp-bot-storage-archive"
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VECTOR_STORE_PREFIX = "vector_store"
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def get_latest_data_timestamp_from_files(bucket_name: str) -> float:
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"""Get the latest timestamp from files in a Supabase storage bucket."""
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files = list_all_files(bucket_name)
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latest_time = 0.0
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for file in files:
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iso_time = file.get("updated_at") or file.get("created_at")
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if iso_time:
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try:
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timestamp = datetime.fromisoformat(iso_time.replace('Z', '+00:00')).timestamp()
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latest_time = max(latest_time, timestamp)
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except Exception as e:
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print(f"Gagal parsing waktu dari {file.get('name')}: {e}")
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return latest_time
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def get_supabase_vector_store_timestamp() -> Optional[str]:
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"""Get the latest timestamp of vector store files in the Supabase storage."""
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try:
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response = supabase.storage.from_(BUCKET_NAME).list()
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timestamps = []
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for file in response:
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if file["name"].startswith(VECTOR_STORE_PREFIX) and (
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file["name"].endswith(".faiss") or file["name"].endswith(".pkl")
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):
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timestamps.append(file["updated_at"])
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if len(timestamps) >= 2:
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return max(timestamps)
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return None
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except Exception as e:
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print(f"Error getting Supabase timestamp: {e}")
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return None
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def vector_store_is_outdated() -> bool:
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"""Check if vector store needs to be updated based on files in Supabase storage."""
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supabase_timestamp = get_supabase_vector_store_timestamp()
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if supabase_timestamp is None:
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return True
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supabase_time = datetime.fromisoformat(supabase_timestamp.replace("Z", "+00:00")).timestamp()
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data_time = get_latest_data_timestamp_from_files("pnp-bot-storage")
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return data_time > supabase_time
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def reorder_embedding(docs):
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"""Reorder documents for long context retrieval."""
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app/document_processor.py
CHANGED
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@@ -4,8 +4,7 @@ from langchain_community.vectorstores import FAISS
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import os
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import tempfile
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import streamlit as st
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from
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from data_loader import list_all_files
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def save_vector_store_to_supabase(vector_store, supabase, bucket_name, file_prefix="vector_store"):
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@@ -113,46 +112,4 @@ def process_documents(docs):
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text_chunks = text_splitter.split_documents(docs)
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vector_store = FAISS.from_documents(text_chunks, embeddings)
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return vector_store
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-
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def get_latest_data_timestamp_from_files(bucket_name: str) -> float:
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"""Get the latest timestamp from files in a Supabase storage bucket."""
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files = list_all_files(bucket_name)
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latest_time = 0.0
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for file in files:
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iso_time = file.get("updated_at") or file.get("created_at")
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if iso_time:
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try:
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timestamp = datetime.fromisoformat(iso_time.replace('Z', '+00:00')).timestamp()
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latest_time = max(latest_time, timestamp)
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except Exception as e:
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print(f"Gagal parsing waktu dari {file.get('name')}: {e}")
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return latest_time
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def get_supabase_vector_store_timestamp() -> Optional[str]:
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"""Get the latest timestamp of vector store files in the Supabase storage."""
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try:
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response = supabase.storage.from_(BUCKET_NAME).list()
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timestamps = []
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for file in response:
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if file["name"].startswith(VECTOR_STORE_PREFIX) and (
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file["name"].endswith(".faiss") or file["name"].endswith(".pkl")
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):
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timestamps.append(file["updated_at"])
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if len(timestamps) >= 2:
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return max(timestamps)
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return None
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except Exception as e:
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print(f"Error getting Supabase timestamp: {e}")
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return None
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def vector_store_is_outdated() -> bool:
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"""Check if vector store needs to be updated based on files in Supabase storage."""
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supabase_timestamp = get_supabase_vector_store_timestamp()
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if supabase_timestamp is None:
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return True
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supabase_time = datetime.fromisoformat(supabase_timestamp.replace("Z", "+00:00")).timestamp()
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data_time = get_latest_data_timestamp_from_files("pnp-bot-storage")
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return data_time > supabase_time
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import os
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import tempfile
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import streamlit as st
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from langchain.schema import Document
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def save_vector_store_to_supabase(vector_store, supabase, bucket_name, file_prefix="vector_store"):
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text_chunks = text_splitter.split_documents(docs)
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vector_store = FAISS.from_documents(text_chunks, embeddings)
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return vector_store
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