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Update app.py
Browse files
app.py
CHANGED
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@@ -6,71 +6,10 @@ from io import BytesIO
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import json
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import time
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import traceback
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# π§ CONFIGURE: Replace with your
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HEALTH_URL = "http://3.14.153.135:5000/health"
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SIMPLE_TEST_URL = "http://3.14.153.135:5000/simple-test"
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DEBUG_URL = "http://3.14.153.135:5000/debug"
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def test_connection():
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try:
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print("=== TESTING CONNECTION ===")
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response = requests.get(HEALTH_URL, timeout=30)
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print(f"Connection test status: {response.status_code}")
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print(f"Connection test response: {response.text}")
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if response.status_code == 200:
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return f"β
Connection successful! Status: {response.status_code}\nResponse: {response.text}"
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else:
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return f"β οΈ Connection returned status: {response.status_code}\nResponse: {response.text}"
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except Exception as e:
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error_msg = f"Connection error: {str(e)}"
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print(f"Connection error: {error_msg}")
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print(f"Traceback: {traceback.format_exc()}")
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return f"β {error_msg}"
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def test_simple_endpoint():
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try:
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print("=== TESTING SIMPLE ENDPOINT ===")
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response = requests.post(
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SIMPLE_TEST_URL,
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json={"question": "test question"},
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timeout=30
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)
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print(f"Simple test status: {response.status_code}")
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print(f"Simple test response: {response.text}")
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if response.status_code == 200:
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result = response.json()
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return f"β
Simple test successful! SQL: {result.get('sql', 'N/A')}", None
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else:
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return f"β Simple test failed: {response.status_code} - {response.text}", None
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except Exception as e:
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error_msg = f"Simple test error: {str(e)}"
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print(f"Simple test error: {error_msg}")
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print(f"Traceback: {traceback.format_exc()}")
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return f"β {error_msg}", None
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def test_debug_endpoint():
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try:
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print("=== TESTING DEBUG ENDPOINT ===")
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response = requests.post(
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DEBUG_URL,
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json={"test": "data"},
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timeout=30
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)
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print(f"Debug test status: {response.status_code}")
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print(f"Debug test response: {response.text}")
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return f"Debug response: {response.text}", None
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except Exception as e:
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error_msg = f"Debug test error: {str(e)}"
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print(f"Debug test error: {error_msg}")
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print(f"Traceback: {traceback.format_exc()}")
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return f"β {error_msg}", None
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def query_database(question):
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if not question.strip():
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@@ -85,22 +24,16 @@ def query_database(question):
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print("="*50)
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# Prepare the request
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'Content-Type': 'application/json',
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'User-Agent': 'HuggingFace-Space/1.0'
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}
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payload = {"question": question}
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print(f"Request URL: {
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print(f"Request headers: {headers}")
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print(f"Request payload: {payload}")
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# Make the request
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print("Sending request...")
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response = requests.post(
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json=payload,
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headers=headers,
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timeout=300
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)
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@@ -108,8 +41,6 @@ def query_database(question):
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print(f"\n=== RESPONSE RECEIVED ===")
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print(f"Response time: {elapsed_time:.2f} seconds")
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print(f"Response status: {response.status_code}")
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print(f"Response headers: {dict(response.headers)}")
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print(f"Response text length: {len(response.text)} characters")
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print(f"Response text: {response.text}")
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# Check if response is empty
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# Check HTTP status
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if response.status_code != 200:
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error_msg = result.get("
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print(f"ERROR: HTTP status {response.status_code}: {error_msg}")
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return "", None, None, f"β Server error: {error_msg}", f"Request time: {elapsed_time:.2f}s", "HTTP error"
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# Check for application error
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if "
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error_msg = result
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print(f"ERROR: Application error: {error_msg}")
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return "", None, None, f"β {error_msg}", f"Request time: {elapsed_time:.2f}s", "Application error"
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# Extract data
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rows = result.get("result", [])
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chart_data = result.get("chart")
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print(f"\n=== EXTRACTED DATA ===")
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print(f"SQL: {sql[:100] if sql else 'None'}...")
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print(f"Rows count: {
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print(f"Chart data received: {'Yes' if chart_data else 'No'}")
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print(f"Chart data length: {len(chart_data) if chart_data else 0}")
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# Create DataFrame
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df = pd.DataFrame(rows) if rows else pd.DataFrame()
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@@ -160,7 +92,7 @@ def query_database(question):
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if chart_data:
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try:
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image_bytes = base64.b64decode(chart_data)
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chart_image = BytesIO(image_bytes)
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print("Chart decoded successfully")
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except Exception as e:
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print(f"Error decoding chart: {e}")
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@@ -168,13 +100,13 @@ def query_database(question):
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# Prepare details
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details = f"Request time: {elapsed_time:.2f}s\n"
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details += f"Status code: {response.status_code}\n"
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details += f"Rows returned: {
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details += f"Chart generated: {'Yes' if chart_data else 'No'}\n"
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details += f"Response size: {len(response.text)} bytes"
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print(f"=== REQUEST COMPLETED SUCCESSFULLY ===")
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return sql, df, chart_image,
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except requests.exceptions.ConnectionError as e:
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error_msg = f"Connection failed: {str(e)}"
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font=["Inter", "sans-serif"]
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).set(
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body_background_fill="*neutral_950",
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background_fill_secondary="*neutral_900"
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)
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# π UI Layout
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with gr.Blocks(theme=theme, title="Enterprise SQL Assistant"
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gr.HTML("""
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<div style="text-align: center; padding: 20px;">
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<h1 style="color: #3B82F6; margin-bottom: 5px;">π Enterprise SQL Assistant</h1>
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label="Natural Language Query",
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lines=3
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)
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submit_btn = gr.Button("π Generate SQL & Results", variant="primary")
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gr.Markdown("### π§ Connection Tests")
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with gr.Accordion("Connection Tests", open=True):
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test_btn = gr.Button("Test Connection to EC2")
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connection_status = gr.Textbox(label="Connection Status", interactive=False)
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simple_test_btn = gr.Button("Test Simple Endpoint")
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simple_test_status = gr.Textbox(label="Simple Test Status", interactive=False)
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debug_test_btn = gr.Button("Test Debug Endpoint")
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debug_test_status = gr.Textbox(label="Debug Test Status", interactive=False)
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gr.Markdown("### π‘ Example Queries")
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gr.
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""")
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with gr.Column(scale=2):
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gr.Markdown("###
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with gr.Tabs():
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with gr.Tab("SQL Query"):
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gr.Markdown("### π Error Details")
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error_details = gr.Textbox(label="Error Details", interactive=False, lines=4)
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#
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outputs=[connection_status]
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)
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simple_test_btn.click(
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fn=test_simple_endpoint,
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outputs=[simple_test_status]
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)
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submit_btn.click(
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fn=query_database,
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inputs=question_input,
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outputs=[sql_output, results_output, chart_output,
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)
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# Launch
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import json
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import time
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import traceback
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from PIL import Image
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# π§ CONFIGURE: Replace with your Django server URL
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DJANGO_API_URL = "http://your-django-server.com/api/openai-prompt/"
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def query_database(question):
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if not question.strip():
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print("="*50)
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# Prepare the request
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payload = {"prompt": question}
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print(f"Request URL: {DJANGO_API_URL}")
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print(f"Request payload: {payload}")
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# Make the request
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print("Sending request...")
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response = requests.post(
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DJANGO_API_URL,
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json=payload,
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timeout=300
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)
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print(f"\n=== RESPONSE RECEIVED ===")
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print(f"Response time: {elapsed_time:.2f} seconds")
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print(f"Response status: {response.status_code}")
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print(f"Response text: {response.text}")
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# Check if response is empty
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# Check HTTP status
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if response.status_code != 200:
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error_msg = result.get("message", f"HTTP {response.status_code}")
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print(f"ERROR: HTTP status {response.status_code}: {error_msg}")
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return "", None, None, f"β Server error: {error_msg}", f"Request time: {elapsed_time:.2f}s", "HTTP error"
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# Check for application error
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if "status" in result and result["status"] == "error":
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error_msg = result.get("message", "Unknown error")
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print(f"ERROR: Application error: {error_msg}")
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return "", None, None, f"β {error_msg}", f"Request time: {elapsed_time:.2f}s", "Application error"
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# Extract data
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conversational_response = result.get("response", "")
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sql = result.get("sql", "")
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rows = result.get("result", [])
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chart_data = result.get("chart")
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row_count = result.get("row_count", len(rows))
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print(f"\n=== EXTRACTED DATA ===")
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print(f"SQL: {sql[:100] if sql else 'None'}...")
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print(f"Rows count: {row_count}")
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print(f"Chart data received: {'Yes' if chart_data else 'No'}")
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# Create DataFrame
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df = pd.DataFrame(rows) if rows else pd.DataFrame()
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if chart_data:
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try:
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image_bytes = base64.b64decode(chart_data)
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chart_image = Image.open(BytesIO(image_bytes))
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print("Chart decoded successfully")
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except Exception as e:
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print(f"Error decoding chart: {e}")
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# Prepare details
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details = f"Request time: {elapsed_time:.2f}s\n"
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details += f"Status code: {response.status_code}\n"
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details += f"Rows returned: {row_count}\n"
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details += f"Chart generated: {'Yes' if chart_data else 'No'}\n"
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details += f"Response size: {len(response.text)} bytes"
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print(f"=== REQUEST COMPLETED SUCCESSFULLY ===")
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return sql, df, chart_image, conversational_response, details, "Success"
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except requests.exceptions.ConnectionError as e:
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error_msg = f"Connection failed: {str(e)}"
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font=["Inter", "sans-serif"]
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).set(
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body_background_fill="*neutral_950",
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background_fill_secondary="*neutral_900",
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button_primary_background_fill="*primary_600",
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button_primary_background_fill_hover="*primary_700",
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button_secondary_background_fill="*neutral_800",
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button_secondary_background_fill_hover="*neutral_700",
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block_title_text_color="*primary_400",
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block_label_text_color="*neutral_300",
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input_background_fill="*neutral_800",
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input_border_color="*neutral_700",
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input_border_width="1px",
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input_text_color="*neutral_100",
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)
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# π UI Layout
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with gr.Blocks(theme=theme, title="Enterprise SQL Assistant", css="""
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.example-btn {
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background-color: #1e40af;
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color: white;
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border-radius: 8px;
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padding: 8px 12px;
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margin: 4px;
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font-size: 0.9em;
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border: none;
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cursor: pointer;
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transition: all 0.2s;
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}
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.example-btn:hover {
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background-color: #1d4ed8;
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transform: translateY(-1px);
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}
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.chatbot-container {
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border: 1px solid #334155;
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border-radius: 8px;
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padding: 15px;
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background-color: #1e293b;
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min-height: 200px;
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max-height: 400px;
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overflow-y: auto;
|
| 177 |
+
}
|
| 178 |
+
.status-success {
|
| 179 |
+
color: #10b981;
|
| 180 |
+
font-weight: bold;
|
| 181 |
+
}
|
| 182 |
+
.status-error {
|
| 183 |
+
color: #ef4444;
|
| 184 |
+
font-weight: bold;
|
| 185 |
+
}
|
| 186 |
+
.status-warning {
|
| 187 |
+
color: #f59e0b;
|
| 188 |
+
font-weight: bold;
|
| 189 |
+
}
|
| 190 |
+
.chart-container {
|
| 191 |
+
border: 1px solid #334155;
|
| 192 |
+
border-radius: 8px;
|
| 193 |
+
padding: 10px;
|
| 194 |
+
background-color: #1e293b;
|
| 195 |
+
}
|
| 196 |
+
""") as demo:
|
| 197 |
gr.HTML("""
|
| 198 |
<div style="text-align: center; padding: 20px;">
|
| 199 |
<h1 style="color: #3B82F6; margin-bottom: 5px;">π Enterprise SQL Assistant</h1>
|
|
|
|
| 211 |
label="Natural Language Query",
|
| 212 |
lines=3
|
| 213 |
)
|
| 214 |
+
submit_btn = gr.Button("π Generate SQL & Results", variant="primary", size="lg")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 215 |
|
| 216 |
gr.Markdown("### π‘ Example Queries")
|
| 217 |
+
with gr.Row():
|
| 218 |
+
with gr.Column():
|
| 219 |
+
example1 = gr.Button("How many members are there?", elem_classes=["example-btn"])
|
| 220 |
+
example2 = gr.Button("What is the total transaction amount?", elem_classes=["example-btn"])
|
| 221 |
+
example3 = gr.Button("Show members with their account balances", elem_classes=["example-btn"])
|
| 222 |
+
example4 = gr.Button("Which member has the highest balance?", elem_classes=["example-btn"])
|
| 223 |
+
with gr.Column():
|
| 224 |
+
example5 = gr.Button("Show transaction trends over time", elem_classes=["example-btn"])
|
| 225 |
+
example6 = gr.Button("Count of members by status", elem_classes=["example-btn"])
|
| 226 |
+
example7 = gr.Button("Show me the first 10 rows", elem_classes=["example-btn"])
|
| 227 |
+
example8 = gr.Button("What is the average age of members?", elem_classes=["example-btn"])
|
|
|
|
| 228 |
|
| 229 |
with gr.Column(scale=2):
|
| 230 |
+
gr.Markdown("### π€ AI Assistant Response")
|
| 231 |
+
chatbot_output = gr.Markdown(
|
| 232 |
+
label="AI Response",
|
| 233 |
+
elem_classes=["chatbot-container"]
|
| 234 |
+
)
|
| 235 |
|
| 236 |
with gr.Tabs():
|
| 237 |
with gr.Tab("SQL Query"):
|
|
|
|
| 258 |
gr.Markdown("### π Error Details")
|
| 259 |
error_details = gr.Textbox(label="Error Details", interactive=False, lines=4)
|
| 260 |
|
| 261 |
+
# Function to handle example query clicks
|
| 262 |
+
def set_example_query(example_text):
|
| 263 |
+
return example_text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 264 |
|
| 265 |
+
# Events
|
| 266 |
+
# Example query buttons
|
| 267 |
+
for example_btn in [example1, example2, example3, example4, example5, example6, example7, example8]:
|
| 268 |
+
example_btn.click(
|
| 269 |
+
fn=set_example_query,
|
| 270 |
+
inputs=[example_btn],
|
| 271 |
+
outputs=[question_input]
|
| 272 |
+
).then(
|
| 273 |
+
fn=query_database,
|
| 274 |
+
inputs=question_input,
|
| 275 |
+
outputs=[sql_output, results_output, chart_output, chatbot_output, request_details, error_details]
|
| 276 |
+
)
|
| 277 |
|
| 278 |
submit_btn.click(
|
| 279 |
fn=query_database,
|
| 280 |
inputs=question_input,
|
| 281 |
+
outputs=[sql_output, results_output, chart_output, chatbot_output, request_details, error_details]
|
| 282 |
)
|
| 283 |
|
| 284 |
# Launch
|