Delete app.py

app.py

@@ -1,194 +0,0 @@
-import gradio as gr
-from database import Database
-from filesource import FileSource
-from agent import run_agent
-from services.utils import get_db_scheme_from_uri
-source = None
-
-
-def connect_to_file(file):
-    """
-    This function is used to connect to a data source file like CSV or parquet
-
-    Parameters:
-    -----------
-    file : File
-        A file-like object (e.g., from a file upload or file picker) that contains structured data.
-
-    Returns:
-    --------
-    tuple
-        A tuple (schema, status) where:
-        - schema (str): A string representation of the data schema if successful, or an empty string on failure.
-        - status (str): A message indicating the success or failure of the connection.
-    
-    """
-    global source
-    try:
-        source = FileSource(file.name)
-        status = source.connect()
-        schema = source._pretify_schema()
-        status = "Connection successful!"
-    except Exception as e:
-        schema = ""
-        status = f"Error: {str(e)}"
-    return schema, status
-
-def generate_and_sql(prompt):
-    """
-    This function is used to give an answer to a user question related to a database or file source
-
-
-    Parameters:
-    -----------
-    prompt : str
-        A natural language instruction or question from the user (e.g., "Show me the top 10 customers by revenue").
-
-    Returns:
-    --------
-    str
-        The given response of the user question
-    Notes:
-    ------
-    - Requires a connected `source` (via `connect_to_file` or `connect_to_database`).
-    - Uses a language agent to interpret the prompt and generate an appropriate SQL query or explanation.
-    """
-    if source is None:
-        return "Please connect to a database or add a file"
-    
-    answer = run_agent(source, prompt)
-    out = ""
-    for chunk in answer:
-        out += chunk
-    return out
-
-
-def connect_to_database(db_url):
-    """
-    This function is used to connect to a database using the provided database URL and returns its schema.
-
-    Parameters:
-    -----------
-    db_url : str
-        A valid database connection string (e.g., "mysql://user:pass@host:port/dbname").
-
-    Returns:
-    --------
-    tuple
-        A tuple (schema, status) where:
-        - schema (str): A string representation of the database schema if the connection is successful, 
-                        or an empty string if it fails.
-        - status (str): A message indicating the result of the connection attempt.
-
-    Notes:
-    ------
-    - The dialect is extracted from the URI to determine the database type (e.g., MySQL, PostgreSQL).
-    """
-    global source
-    try:
-        dialect = get_db_scheme_from_uri(db_url)
-        source = Database(db_url, dialect)
-        status = source.connect()
-        schema = source._pretify_schema()
-        status = "Connection successful!"
-    except Exception as e:
-        schema = ""
-        status = f"Error: {str(e)}"
-    return schema, status
-# Function to add user message to chat history
-def user(user_message, chat_history):
-    chat_history.append({"role": "user", "content": user_message})
-    return "", chat_history
-
-# Function to generate a bot response
-def bot(chat_history):
-  
-    if source is None:
-         chat_history.append({"role":"assistant","content":"please connect to a database  before asking question"})
-         yield chat_history
-    else:
-        answer = run_agent(source,chat_history[-1]['content'])
-        chat_history.append({"role":"assistant","content":""})
-
-        for chunk in answer:
-            chat_history[-1]['content'] += chunk    
-            yield chat_history
-
-# Create the Gradio interface
-with gr.Blocks(theme=gr.themes.Default(), css="""
-    .gr-button { margin: 5px; border-radius:16px; }
-    .gr-textbox, .gr-text-area, .gr-dropdown, .gr-json { border-radius: 8px; }
-    .gr-row { gap: 10px; }
-    .gr-tab { border-radius: 8px; }
-    .status-text { font-size: 0.9em; color: #555; }
-    .gr-json { max-height: 300px; overflow-y: auto; } /* Added scrolling for JSON */
-""") as demo:
-    gr.Markdown(
-        f"""
-        # 🤖 MCP DB Answer
-        Your mcp server that allow you to talk to any database
-
-
-        Powered by Ibis it support : PostgreSQL , SQLite , MySQL , MSSQL , ClickHouse , BigQuery and many other
-        
-        
-        Also support .CSV and .parquet files
-        
-        """,
-        elem_classes=["header"]
-    )
-
-    with gr.Column(scale=3):
-        with gr.Tabs():
-            with gr.TabItem("💬 Chat"):
-                with gr.Group():
-                    main_chat_disp = gr.Chatbot(
-                        label=None, height=400,
-                        avatar_images=(None, "https://huggingface.co/spaces/Space-Share/bucket/resolve/main/images/pfp.webp"),
-                        show_copy_button=True, render_markdown=True, sanitize_html=True, type='messages'
-                    )
-                    with gr.Row(variant="compact"):
-                        user_msg_tb = gr.Textbox(
-                            show_label=False, placeholder="Talk with your data...",
-                            scale=7, lines=1, max_lines=3
-                        )
-                        send_btn = gr.Button("Send", variant="primary", scale=1, min_width=100)
-            with gr.TabItem("Config"):        
-                with gr.Row():
-                    # Left column for database configuration.
-                    with gr.Column(scale=1):
-                        gr.Markdown("## Database Configuration")
-                        # Textbox for entering the database URL.
-                        db_url_tb = gr.Textbox(
-                            show_label=True, label="Database URL", placeholder="Enter the URL to connect to the database..."
-                        )
-                        # Button to connect to the database.
-                        connect_btn = gr.Button("Connect", variant="primary")
-                        gr.Markdown("## File Upload")
-                        file_uploader = gr.File(
-                            label="Upload File", file_types=[".csv", ".parquet", ".xls", ".xlsx"]
-                        )
-                        # Button to connect to the database.
-                        load_btn = gr.Button("Load", variant="primary")
-
-                    # Right column for displaying the database schema and status message.
-                    with gr.Column(scale=3):
-                        gr.Markdown("## Database Schema")
-                        # Textarea to display the database schema.
-                        schema_ta = gr.TextArea(
-                            show_label=False, placeholder="Database schema will be displayed here...",
-                            lines=20, max_lines=50, interactive=False
-                        )
-                        # Textbox to display the status message.
-                        status_tb = gr.Textbox(
-                            show_label=False, placeholder="Status message will be displayed here...",
-                            lines=1, max_lines=1, interactive=False, elem_classes=["status-text"]
-                        )
-    connect_btn.click(fn=connect_to_database, inputs=db_url_tb, outputs=[schema_ta, status_tb])
-    load_btn.click(fn=connect_to_file, inputs=file_uploader, outputs=[schema_ta, status_tb])
-    send_btn.click(fn=user, inputs=[user_msg_tb, main_chat_disp], outputs=[user_msg_tb, main_chat_disp], queue=False).then(
-        fn=bot, inputs=main_chat_disp, outputs=main_chat_disp
-    )
-
-if __name__ == "__main__":
-    demo.launch(mcp_server=True)