Spaces:
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Update app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,4 @@
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from flask import Flask, render_template, request, redirect, url_for, send_from_directory
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from flask_socketio import SocketIO
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import threading
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import os
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@@ -62,6 +62,15 @@ def create_agent_app(db_path: str):
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# -------------------------------------------------------------------------
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@tool
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def db_query_tool(query: str) -> str:
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result = db_instance.run_no_throw(query)
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return result if result else "Error: Query failed. Please rewrite your query and try again."
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@@ -116,7 +125,7 @@ def create_agent_app(db_path: str):
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"If you get an empty result set, you should try to rewrite the query to get a non-empty result set.\n"
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"NEVER make stuff up if you don't have enough information to answer the query... just say you don't have enough information.\n\n"
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"If you have enough information to answer the input question, simply invoke the appropriate tool to submit the final answer to the user.\n"
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"DO NOT make any DML statements (INSERT, UPDATE, DELETE, DROP etc.) to the database. Do not return any
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)
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query_gen_prompt = ChatPromptTemplate.from_messages([
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("system", query_gen_system),
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@@ -124,25 +133,32 @@ def create_agent_app(db_path: str):
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])
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query_gen = query_gen_prompt | llm.bind_tools([SubmitFinalAnswer])
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#
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abs_db_path_local = os.path.abspath(db_path)
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global DATABASE_URI
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DATABASE_URI = abs_db_path_local
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db_uri = f"sqlite:///{abs_db_path_local}"
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print("db_uri", db_uri)
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flash
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#
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from langchain_community.utilities import SQLDatabase
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db_instance = SQLDatabase.from_uri(db_uri)
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print("db_instance----->", db_instance)
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flash(f"db_instance:{db_instance}", "warning")
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# Create SQL toolkit.
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from langchain_community.agent_toolkits import SQLDatabaseToolkit
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toolkit_instance = SQLDatabaseToolkit(db=db_instance, llm=llm)
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tools_instance = toolkit_instance.get_tools()
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# Define workflow nodes and fallback functions.
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def first_tool_call(state: State) -> dict[str, list[AIMessage]]:
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return {"messages": [AIMessage(content="", tool_calls=[{"name": "sql_db_list_tables", "args": {}, "id": "tool_abcd123"}])]}
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@@ -181,7 +197,9 @@ def create_agent_app(db_path: str):
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def model_check_query(state: State) -> dict[str, list[AIMessage]]:
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return {"messages": [query_check.invoke({"messages": [state["messages"][-1]]})]}
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#
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list_tables_tool = next((tool for tool in tools_instance if tool.name == "sql_db_list_tables"), None)
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get_schema_tool = next((tool for tool in tools_instance if tool.name == "sql_db_schema"), None)
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@@ -207,11 +225,11 @@ def create_agent_app(db_path: str):
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# Return compiled workflow
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return workflow.compile()
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# =============================================================================
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# create_app: The application factory.
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# =============================================================================
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def create_app():
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# Configure static folder for uploads.
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flask_app = Flask(__name__, static_url_path='/uploads', static_folder='uploads')
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socketio = SocketIO(flask_app, cors_allowed_origins="*")
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@@ -220,7 +238,9 @@ def create_app():
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os.makedirs(UPLOAD_FOLDER)
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flask_app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
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# Serve uploaded files via a custom route.
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@flask_app.route("/files/<path:filename>")
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def uploaded_file(filename):
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return send_from_directory(flask_app.config['UPLOAD_FOLDER'], filename)
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@@ -229,26 +249,26 @@ def create_app():
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# Helper: run_agent runs the agent with the given prompt.
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# -------------------------------------------------------------------------
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def run_agent(prompt, socketio):
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global agent_app, abs_file_path
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if not abs_file_path:
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socketio.emit("log", {"message": "[ERROR]: No DB file uploaded."})
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socketio.emit("final", {"message": "No database available. Please upload one and try again."})
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return
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try:
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# Lazy agent
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if agent_app is None:
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print("[INFO]: Initializing agent for the first time...")
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agent_app = create_agent_app(abs_file_path)
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socketio.emit("log", {"message": "[INFO]: Agent initialized."})
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query = {"messages": [("user", prompt)]}
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result = agent_app.invoke(query)
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try:
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result = result["messages"][-1].tool_calls[0]["args"]["final_answer"]
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except Exception:
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result = "Query failed or no valid answer found."
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print("final_answer------>", result)
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socketio.emit("final", {"message": result})
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except Exception as e:
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@@ -256,16 +276,15 @@ def create_app():
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socketio.emit("log", {"message": f"[ERROR]: {str(e)}"})
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socketio.emit("final", {"message": "Generation failed."})
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# -------------------------------------------------------------------------
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# Route: index page
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# -------------------------------------------------------------------------
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@flask_app.route("/")
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def index():
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return render_template("index.html")
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# -------------------------------------------------------------------------
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# Route: generate (POST) – receives a prompt
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# -------------------------------------------------------------------------
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@flask_app.route("/generate", methods=["POST"])
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def generate():
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@@ -280,7 +299,6 @@ def create_app():
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return "OK", 200
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except Exception as e:
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print(f"[ERROR]: {str(e)}")
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flash(f"[ERROR]: {str(e)}", "error")
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socketio.emit("log", {"message": f"[ERROR]: {str(e)}"})
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return "ERROR", 500
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@@ -289,17 +307,19 @@ def create_app():
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# -------------------------------------------------------------------------
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@flask_app.route("/upload", methods=["GET", "POST"])
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def upload():
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global abs_file_path, db_path
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try:
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if request.method == "POST":
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file = request.files.get("file")
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if not file:
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return "No file uploaded", 400
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filename = secure_filename(file.filename)
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if filename.endswith('.db'):
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db_path = os.path.join(flask_app.config['UPLOAD_FOLDER'], "uploaded.db")
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file.save(db_path)
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abs_file_path = os.path.abspath(db_path) # Save it here
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print(f"[INFO]: File '{filename}' uploaded. Agent will be initialized on first query.")
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socketio.emit("log", {"message": f"[INFO]: Database file '{filename}' uploaded."})
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return redirect(url_for("index"))
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from flask import Flask, render_template, request, redirect, url_for, send_from_directory, flash
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from flask_socketio import SocketIO
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import threading
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import os
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# -------------------------------------------------------------------------
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@tool
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def db_query_tool(query: str) -> str:
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"""
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Executes a SQL query on the connected SQLite database.
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Parameters:
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query (str): A SQL query string to be executed.
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Returns:
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str: The result from the database if successful, or an error message if not.
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"""
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result = db_instance.run_no_throw(query)
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return result if result else "Error: Query failed. Please rewrite your query and try again."
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"If you get an empty result set, you should try to rewrite the query to get a non-empty result set.\n"
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"NEVER make stuff up if you don't have enough information to answer the query... just say you don't have enough information.\n\n"
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"If you have enough information to answer the input question, simply invoke the appropriate tool to submit the final answer to the user.\n"
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"DO NOT make any DML statements (INSERT, UPDATE, DELETE, DROP etc.) to the database. Do not return any SQL query except answer."
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)
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query_gen_prompt = ChatPromptTemplate.from_messages([
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("system", query_gen_system),
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])
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query_gen = query_gen_prompt | llm.bind_tools([SubmitFinalAnswer])
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# -------------------------------------------------------------------------
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# Update database URI and file path, create SQLDatabase connection.
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# -------------------------------------------------------------------------
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abs_db_path_local = os.path.abspath(db_path)
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global DATABASE_URI
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DATABASE_URI = abs_db_path_local
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db_uri = f"sqlite:///{abs_db_path_local}"
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print("db_uri", db_uri)
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# Uncomment if flash is needed; ensure you have flask.flash imported if so.
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# flash(f"db_uri:{db_uri}", "warning")
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from langchain_community.utilities import SQLDatabase
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db_instance = SQLDatabase.from_uri(db_uri)
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print("db_instance----->", db_instance)
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# flash(f"db_instance:{db_instance}", "warning")
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# -------------------------------------------------------------------------
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# Create SQL toolkit.
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# -------------------------------------------------------------------------
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from langchain_community.agent_toolkits import SQLDatabaseToolkit
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toolkit_instance = SQLDatabaseToolkit(db=db_instance, llm=llm)
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tools_instance = toolkit_instance.get_tools()
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# -------------------------------------------------------------------------
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# Define workflow nodes and fallback functions.
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# -------------------------------------------------------------------------
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def first_tool_call(state: State) -> dict[str, list[AIMessage]]:
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return {"messages": [AIMessage(content="", tool_calls=[{"name": "sql_db_list_tables", "args": {}, "id": "tool_abcd123"}])]}
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def model_check_query(state: State) -> dict[str, list[AIMessage]]:
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return {"messages": [query_check.invoke({"messages": [state["messages"][-1]]})]}
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# -------------------------------------------------------------------------
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# Get tools for listing tables and fetching schema.
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# -------------------------------------------------------------------------
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list_tables_tool = next((tool for tool in tools_instance if tool.name == "sql_db_list_tables"), None)
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get_schema_tool = next((tool for tool in tools_instance if tool.name == "sql_db_schema"), None)
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# Return compiled workflow
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return workflow.compile()
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# =============================================================================
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# create_app: The application factory.
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# =============================================================================
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def create_app():
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flask_app = Flask(__name__, static_url_path='/uploads', static_folder='uploads')
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socketio = SocketIO(flask_app, cors_allowed_origins="*")
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os.makedirs(UPLOAD_FOLDER)
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flask_app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
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# -------------------------------------------------------------------------
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# Serve uploaded files via a custom route.
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# -------------------------------------------------------------------------
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@flask_app.route("/files/<path:filename>")
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def uploaded_file(filename):
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return send_from_directory(flask_app.config['UPLOAD_FOLDER'], filename)
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# Helper: run_agent runs the agent with the given prompt.
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# -------------------------------------------------------------------------
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def run_agent(prompt, socketio):
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global agent_app, abs_file_path, db_path
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if not abs_file_path:
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socketio.emit("log", {"message": "[ERROR]: No DB file uploaded."})
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socketio.emit("final", {"message": "No database available. Please upload one and try again."})
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return
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try:
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# Lazy agent initialization: use the previously uploaded DB.
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if agent_app is None:
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print("[INFO]: Initializing agent for the first time...")
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agent_app = create_agent_app(abs_file_path)
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socketio.emit("log", {"message": "[INFO]: Agent initialized."})
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query = {"messages": [("user", prompt)]}
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result = agent_app.invoke(query)
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try:
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result = result["messages"][-1].tool_calls[0]["args"]["final_answer"]
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except Exception:
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result = "Query failed or no valid answer found."
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print("final_answer------>", result)
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socketio.emit("final", {"message": result})
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except Exception as e:
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socketio.emit("log", {"message": f"[ERROR]: {str(e)}"})
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socketio.emit("final", {"message": "Generation failed."})
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# -------------------------------------------------------------------------
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# Route: index page.
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# -------------------------------------------------------------------------
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@flask_app.route("/")
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def index():
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return render_template("index.html")
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# -------------------------------------------------------------------------
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# Route: generate (POST) – receives a prompt and runs the agent.
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# -------------------------------------------------------------------------
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@flask_app.route("/generate", methods=["POST"])
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def generate():
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return "OK", 200
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except Exception as e:
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print(f"[ERROR]: {str(e)}")
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socketio.emit("log", {"message": f"[ERROR]: {str(e)}"})
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return "ERROR", 500
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# -------------------------------------------------------------------------
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@flask_app.route("/upload", methods=["GET", "POST"])
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def upload():
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global abs_file_path, agent_app, db_path
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try:
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if request.method == "POST":
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file = request.files.get("file")
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if not file:
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print("No file uploaded")
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return "No file uploaded", 400
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filename = secure_filename(file.filename)
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if filename.endswith('.db'):
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db_path = os.path.join(flask_app.config['UPLOAD_FOLDER'], "uploaded.db")
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print("Saving file to:", db_path)
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file.save(db_path)
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abs_file_path = os.path.abspath(db_path) # Save it here; agent init will occur on first query.
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print(f"[INFO]: File '{filename}' uploaded. Agent will be initialized on first query.")
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socketio.emit("log", {"message": f"[INFO]: Database file '{filename}' uploaded."})
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return redirect(url_for("index"))
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