Spaces:
Sleeping
Sleeping
supabase update
Browse files
app.py
CHANGED
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@@ -1,10 +1,14 @@
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import os
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import io
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import re
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from typing import List, Dict, Any
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from fastapi import FastAPI, Request
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from slack_bolt import App
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from slack_bolt.adapter.fastapi import SlackRequestHandler
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from sentence_transformers import SentenceTransformer
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from transformers import pipeline
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from supabase import create_client, Client
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@@ -12,6 +16,12 @@ import pypdf
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from docx import Document
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import requests
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import uvicorn
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# Load secrets from environment variables
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SUPABASE_URL = os.environ.get("SUPABASE_URL")
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@@ -29,7 +39,53 @@ if HF_TOKEN:
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supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)
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api = FastAPI()
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print("Loading embedding model...")
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@@ -74,24 +130,44 @@ def embed_text(text: str) -> List[float]:
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def store_embeddings(chunks: List[str]):
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for chunk in chunks:
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embedding = embed_text(chunk)
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def search_documents(query: str, match_count: int = 5) -> List[Dict[str, Any]]:
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query_embedding = embed_text(query)
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def answer_question(question: str, context: str) -> str:
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if not context.strip():
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return "No relevant documents found."
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@app.event("file_shared")
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def handle_file_shared(event, say, client):
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file_url = file_data.get("url_private_download")
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if not file_url:
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return
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try:
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file_content = download_slack_file(file_url,
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text = ""
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if "pdf" in file_type:
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@@ -117,23 +194,81 @@ def handle_file_shared(event, say, client):
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say("Unsupported file type. Please upload PDF or DOCX files.")
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return
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chunks = chunk_text(text)
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store_embeddings(chunks)
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say(f"✅ File processed successfully! Added {len(chunks)} chunks to knowledge base.")
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except Exception as e:
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say(f"❌ Error processing file: {str(e)}")
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@app.event("app_mention")
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def handle_mention(event, say):
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text = event["text"]
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user_query = re.sub(r'<@[A-Z0-9]+>', '', text).strip()
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if not user_query:
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say("Please ask me a question!")
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return
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try:
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results = search_documents(user_query, match_count=5)
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if not results:
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@@ -145,6 +280,7 @@ def handle_mention(event, say):
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say(f"💡 *Answer:* {answer}")
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except Exception as e:
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say(f"❌ Error answering question: {str(e)}")
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handler = SlackRequestHandler(app)
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@@ -161,21 +297,25 @@ async def root():
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async def health():
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return {"status": "ok"}
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@api.get("/slack/oauth/callback")
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async def oauth_callback(code: str, state: str = None):
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#
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from slack_sdk.web import WebClient
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client = WebClient()
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oauth_response = client.oauth_v2_access(
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client_id=SLACK_CLIENT_ID,
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client_secret=SLACK_CLIENT_SECRET,
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)
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return {"status": "success", "team_id": oauth_response["team"]["id"]}
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if __name__ == "__main__":
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uvicorn.run(api, host="0.0.0.0", port=int(os.environ.get("PORT", 7860)))
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import os
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import io
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import re
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import logging
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from typing import List, Dict, Any
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from fastapi import FastAPI, Request
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from slack_bolt import App
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from slack_bolt.adapter.fastapi import SlackRequestHandler
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from slack_bolt.oauth import OAuthFlow
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from slack_bolt.oauth.oauth_state_store import FileOAuthStateStore
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from slack_bolt.installer import Installer
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from sentence_transformers import SentenceTransformer
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from transformers import pipeline
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from supabase import create_client, Client
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from docx import Document
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import requests
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import uvicorn
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from slack_sdk.web import WebClient
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from slack_sdk.oauth import AuthorizeUrlGenerator
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Load secrets from environment variables
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SUPABASE_URL = os.environ.get("SUPABASE_URL")
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supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)
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# Supabase Installation Store
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class SupabaseInstallationStore:
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def __init__(self, supabase_client):
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self.supabase = supabase_client
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def save(self, installation):
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data = {
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"team_id": installation.team_id,
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"bot_token": installation.bot_token,
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"bot_user_id": installation.bot_user_id,
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"bot_scopes": installation.bot_scopes,
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"app_id": installation.app_id,
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}
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self.supabase.table("installations").upsert(data, on_conflict="team_id").execute()
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logger.info(f"Saved installation for team: {installation.team_id}")
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def fetch_installation(self, team_id):
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result = self.supabase.table("installations").select("*").eq("team_id", team_id).execute()
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if not result.data:
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return None
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# Reconstruct Installation object (simplified; use full Bolt types in prod)
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from slack_bolt.models.installation import Installation
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return Installation(
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app_id=result.data[0]["app_id"],
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enterprise_id=None,
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team_id=team_id,
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user_id=None,
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bot_token=result.data[0]["bot_token"],
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bot_user_id=result.data[0]["bot_user_id"],
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bot_scopes=result.data[0]["bot_scopes"],
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incoming_webhook=None,
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)
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def delete_installation(self, team_id):
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self.supabase.table("installations").delete().eq("team_id", team_id).execute()
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# Initialize installation store
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installation_store = SupabaseInstallationStore(supabase)
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# Initialize App with installation store
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app = App(
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client_id=SLACK_CLIENT_ID,
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client_secret=SLACK_CLIENT_SECRET,
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signing_secret=SLACK_SIGNING_SECRET,
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installation_store=installation_store,
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)
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api = FastAPI()
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print("Loading embedding model...")
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def store_embeddings(chunks: List[str]):
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for chunk in chunks:
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embedding = embed_text(chunk)
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try:
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supabase.table("documents").insert({
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"content": chunk,
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"embedding": embedding
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}).execute()
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except Exception as e:
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logger.error(f"Failed to insert chunk '{chunk[:100]}...' into Supabase: {str(e)}")
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def is_table_empty() -> bool:
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try:
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result = supabase.table("documents").select("count", count="exact").execute()
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count = result.data[0]["count"] if result.data else 0
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return count == 0
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except Exception as e:
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logger.error(f"Error checking table emptiness: {str(e)}")
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return True # Assume empty on error to be safe
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def search_documents(query: str, match_count: int = 5) -> List[Dict[str, Any]]:
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query_embedding = embed_text(query)
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try:
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result = supabase.rpc("match_documents", {
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"query_embedding": query_embedding,
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"match_count": match_count
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}).execute()
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return result.data
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except Exception as e:
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logger.error(f"Error searching documents for query '{query}': {str(e)}")
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return []
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def answer_question(question: str, context: str) -> str:
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if not context.strip():
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return "No relevant documents found."
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try:
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result = qa_pipeline(question=question, context=context[:4096])
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return result['answer']
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except Exception as e:
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logger.error(f"Error in QA pipeline for question '{question}' and context length {len(context)}: {str(e)}")
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return "Error generating answer from context."
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@app.event("file_shared")
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def handle_file_shared(event, say, client):
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file_url = file_data.get("url_private_download")
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if not file_url:
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say("No download URL available for the file.")
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return
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try:
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file_content = download_slack_file(file_url, client.token)
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text = ""
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if "pdf" in file_type:
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say("Unsupported file type. Please upload PDF or DOCX files.")
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return
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if not text.strip():
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say("No text could be extracted from the file.")
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return
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chunks = chunk_text(text)
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store_embeddings(chunks)
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say(f"✅ File processed successfully! Added {len(chunks)} chunks to knowledge base.")
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except Exception as e:
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logger.error(f"Detailed error in file_shared handler for file_id {file_id}, mimetype {file_type}: {str(e)}")
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say(f"❌ Error processing file: {str(e)}")
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@app.event("app_mention")
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def handle_mention(event, say, client):
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text = event["text"]
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user_query = re.sub(r'<@[A-Z0-9]+>', '', text).strip()
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# Check if the mention includes a file share
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files = event.get("files", [])
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if files:
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# Handle file in mention context (process it similarly to file_shared)
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for file_info in files:
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file_id = file_info["id"]
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file_type = file_info.get("mimetype", "")
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file_url = file_info.get("url_private_download")
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if not file_url:
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say("No download URL available for the attached file.")
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continue
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try:
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file_content = download_slack_file(file_url, client.token)
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extracted_text = ""
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if "pdf" in file_type:
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extracted_text = extract_text_from_pdf(file_content)
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elif "wordprocessingml" in file_type or "msword" in file_type:
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extracted_text = extract_text_from_docx(file_content)
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else:
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say("Unsupported file type in mention. Please upload PDF or DOCX files.")
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continue
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if not extracted_text.strip():
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say("No text could be extracted from the attached file.")
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continue
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chunks = chunk_text(extracted_text)
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store_embeddings(chunks)
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say(f"✅ Attached file processed successfully! Added {len(chunks)} chunks to knowledge base.")
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# If there's also a query, proceed to answer below
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except Exception as e:
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logger.error(f"Detailed error processing file in mention for file_id {file_id}: {str(e)}")
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say(f"❌ Error processing attached file: {str(e)}")
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if not user_query:
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say("Please ask me a question after mentioning me!")
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return
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# Send typing indicator
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try:
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client.chat_postMessage(
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channel=event["channel"],
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as_user=True,
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typing=True # This triggers the typing indicator
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)
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except Exception as e:
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logger.warning(f"Failed to send typing indicator: {str(e)}")
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try:
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# Check if table is empty
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if is_table_empty():
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say("My knowledge base is empty. Please share some PDF or DOCX files first so I can learn!")
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return
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results = search_documents(user_query, match_count=5)
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if not results:
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say(f"💡 *Answer:* {answer}")
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except Exception as e:
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logger.error(f"Detailed error in app_mention handler for query '{user_query}': {str(e)}")
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say(f"❌ Error answering question: {str(e)}")
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handler = SlackRequestHandler(app)
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async def health():
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return {"status": "ok"}
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@api.get("/slack/install")
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async def install_url():
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generator = AuthorizeUrlGenerator(
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client_id=SLACK_CLIENT_ID,
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scopes=["app_mentions:read", "files:read", "chat:write", "im:read", "im:write", "channels:read"]
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)
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return {"install_url": generator.generate(state="state")}
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@api.get("/slack/oauth/callback")
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async def oauth_callback(code: str, state: str = None):
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# Use Bolt's installer to handle and save
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| 311 |
+
installer = Installer(
|
|
|
|
|
|
|
|
|
|
|
|
|
| 312 |
client_id=SLACK_CLIENT_ID,
|
| 313 |
client_secret=SLACK_CLIENT_SECRET,
|
| 314 |
+
signing_secret=SLACK_SIGNING_SECRET,
|
| 315 |
+
installation_store=installation_store,
|
| 316 |
)
|
| 317 |
+
installer.run(code)
|
| 318 |
+
return {"status": "success"}
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|
|
|
| 319 |
|
| 320 |
if __name__ == "__main__":
|
| 321 |
uvicorn.run(api, host="0.0.0.0", port=int(os.environ.get("PORT", 7860)))
|