WebashalarForML commited on
Commit
42f9586
·
verified ·
1 Parent(s): ae9b429

Update app.py

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Files changed (1) hide show
  1. app.py +4 -6
app.py CHANGED
@@ -43,11 +43,10 @@ DATABASE_URI = f"sqlite:///{os.path.join(BASE_DIR, 'data', 'mydb.db')}"
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  print("DATABASE URI:", DATABASE_URI)
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  # API Keys from .env file
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- import os
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  os.environ["GROQ_API_KEY"] = os.getenv("GROQ_API_KEY")
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  os.environ["MISTRAL_API_KEY"] = os.getenv("MISTRAL_API_KEY")
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- # Global variables for dynamic agent and DB file path; initially None.
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  agent_app = None
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  abs_file_path = None
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  db_path = None
@@ -56,7 +55,7 @@ db_path = None
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  # create_agent_app: Given a database path, initialize the agent workflow.
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  # =============================================================================
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  def create_agent_app(db_path: str):
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- # Use ChatGroq as our LLM here; you can swap to ChatMistralAI if preferred.
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  from langchain_groq import ChatGroq
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  llm = ChatGroq(model="llama3-70b-8192")
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@@ -87,7 +86,7 @@ def create_agent_app(db_path: str):
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  messages: Annotated[list[AnyMessage], add_messages]
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  # -------------------------------------------------------------------------
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- # Set up prompt templates for query checking and query generation.
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  # -------------------------------------------------------------------------
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  query_check_system = (
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  "You are a SQL expert with a strong attention to detail.\n"
@@ -245,7 +244,6 @@ def create_app():
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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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- flash("No database available. Please upload one and try again.", "error")
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  return
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  try:
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  if agent_app is None:
@@ -306,7 +304,7 @@ def create_app():
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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)
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- agent_app = None # Reset the agent so it is lazily reinitialized on next 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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  flash(f"Database file '{filename}' uploaded successfully.", "info")
 
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  print("DATABASE URI:", DATABASE_URI)
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  # API Keys from .env file
 
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  os.environ["GROQ_API_KEY"] = os.getenv("GROQ_API_KEY")
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  os.environ["MISTRAL_API_KEY"] = os.getenv("MISTRAL_API_KEY")
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+ # Global state: dynamic agent and DB file path
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  agent_app = None
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  abs_file_path = None
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  db_path = None
 
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  # create_agent_app: Given a database path, initialize the agent workflow.
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  # =============================================================================
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  def create_agent_app(db_path: str):
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+ # Use ChatGroq as our LLM here; swap to ChatMistralAI if preferred.
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  from langchain_groq import ChatGroq
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  llm = ChatGroq(model="llama3-70b-8192")
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  messages: Annotated[list[AnyMessage], add_messages]
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  # -------------------------------------------------------------------------
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+ # Set up prompt templates for query checking and generation.
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  # -------------------------------------------------------------------------
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  query_check_system = (
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  "You are a SQL expert with a strong attention to detail.\n"
 
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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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  if agent_app is None:
 
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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)
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+ agent_app = None # Reset the agent to be lazily reinitialized on next 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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  flash(f"Database file '{filename}' uploaded successfully.", "info")