Update app.py

app.py

@@ -252,9 +252,9 @@ async def process_logs(file_obj, progress=gr.Progress()):
             preview_lines = ["Step 2: Log Preview (First 5 Rows)"]
             for idx, row in df.head().iterrows():
                 preview_lines.append(f"Row {idx + 1}: Device ID: {row['device_id']}, Log Type: {row['log_type']}, Status: {row['status']}, Timestamp: {row['timestamp']}, Usage Hours: {row['usage_hours']}, Downtime: {row['downtime']}, AMC Date: {row['amc_date']}")
-            preview = "\n".join(preview_lines)
+            preview = "\ scorer_lines)
         else:
-            preview = "Step 2: Log Preview\nNo data available."
+            preview.append("Step 2: Log Preview\nNo data available.")
 
         # Step 3: Usage Chart
         chart = create_usage_chart(df, progress)
@@ -265,7 +265,7 @@ async def process_logs(file_obj, progress=gr.Progress()):
         # Step 5: AMC Reminders
         amc_reminders = f"Step 4: AMC Reminders\n{check_amc_reminders(df, datetime.now(), progress)}"
 
-        # Step 6: Dashboard Insights
+        # Step 6: Insights
         insights = f"Step 5: Dashboard Insights (AI)\n{generate_dashboard_insights(df, progress)}"
 
         # Generate PDF if available
@@ -274,21 +274,21 @@ async def process_logs(file_obj, progress=gr.Progress()):
         if pdf_file is None and reportlab_available:
             logging.warning("PDF generation failed, but analysis completed")
         elif pdf_file is None:
-            logging.warning("PDF generation skipped due to missing reportlab")
+            logging.info("PDF generation skipped due to missing reportlab")
 
         progress(1.0, "Processing complete!")
         return summary, preview, chart, anomalies, amc_reminders, insights, pdf_file
     except Exception as e:
         logging.error(f"Failed to process file: {str(e)}")
-        return f"Failed to process file: {str(e)}", None, None, None, None, None, None
+        return f"Error processing file: {error(e)}", None, None, None, None, None, None
 
 # Gradio Interface
 try:
-    logging.info("Initializing Gradio Blocks interface...")
+    logging.info("Initializing Gradio interface...")
     with gr.Blocks(css="""
-        .dashboard-container {border: 1px solid #e0e0e0; padding: 10px; border-radius: 5px; background-color: #f9f9f9;}
+        .dashboard-container {border: 1px solid #e0e0e0; padding: 10px; border-radius: 5px;}
         .dashboard-title {font-size: 24px; font-weight: bold; margin-bottom: 5px;}
-        .dashboard-section {margin-bottom: 5px;}
+        .dashboard-section {margin-bottom: 20px;}
         .dashboard-section h3 {font-size: 18px; margin-bottom: 2px;}
         .dashboard-section p {margin: 1px 0; line-height: 1.2;}
         .dashboard-section ul {margin: 2px 0; padding-left: 20px;}
@@ -300,7 +300,7 @@ try:
             with gr.Column(scale=1):
                 file_input = gr.File(label="Upload Logs (CSV)", file_types=[".csv"])
                 submit_button = gr.Button("Analyze", variant="primary")
-            
+
             with gr.Column(scale=2):
                 with gr.Group(elem_classes="dashboard-container"):
                     gr.Markdown("<div class='dashboard-title'>Analysis Results (Step-by-Step)</div>")
@@ -314,27 +314,27 @@ try:
                     with gr.Group(elem_classes="dashboard-section"):
                         gr.Markdown("### Step 2: Log Preview")
                         preview_output = gr.Markdown()
-                    
+                        
                     # Step 3: Usage Chart
                     with gr.Group(elem_classes="dashboard-section"):
                         gr.Markdown("### Step 3: Usage Chart")
                         chart_output = gr.Plot()
-                    
+                        
                     # Step 4: Anomaly Detection
                     with gr.Group(elem_classes="dashboard-section"):
                         gr.Markdown("### Step 4: Anomaly Detection")
                         anomaly_output = gr.Markdown()
-                    
+                        
                     # Step 5: AMC Reminders
                     with gr.Group(elem_classes="dashboard-section"):
                         gr.Markdown("### Step 5: AMC Reminders")
                         amc_output = gr.Markdown()
-                    
+                        
                     # Step 6: Dashboard Insights
                     with gr.Group(elem_classes="dashboard-section"):
-                        gr.Markdown("### Step 6: Dashboard Insights (AI)")
+                        gr.Markdown("### Step 6: Insights (AI)")
                         insights_output = gr.Markdown()
-                    
+                        
                     # PDF Download
                     with gr.Group(elem_classes="dashboard-section"):
                         gr.Markdown("### Download Report")
@@ -359,96 +359,4 @@ if __name__ == "__main__":
     except Exception as e:
         logging.error(f"Failed to launch Gradio interface: {str(e)}")
         print(f"Error launching app: {str(e)}")
-        raise e
-</xArtifact>
-
-### Key Changes Made
-1. **Fixed Syntax Error**:
-   - Removed the invalid leading double quote (`"`) before `except Exception as e:` in the CSV loading section (around line 228).
-   - Corrected the syntax to ensure proper error handling:
-     ```python
-     except Exception as e:
-         logging.error(f"Failed to load CSV: {str(e)}")
-         return f"Failed to load CSV: {str(e)}", None, None, None, None, None, None
-     ```
-   - Fixed another syntax error in the timestamp conversion error message, replacing `error(e)` with `str(e)`.
-
-2. **Preserved Functionality**:
-   - Retained all analysis functions (`summarize_logs`, `detect_anomalies`, `check_amc_reminders`, `generate_dashboard_insights`, `create_usage_chart`) unchanged.
-   - Kept the optional `reportlab` PDF generation with graceful fallback if `reportlab` is not installed.
-   - Maintained the Gradio interface layout and CSS styling.
-   - Ensured CSV file upload functionality without a row limit.
-
-3. **Error Handling**:
-   - Fixed syntax errors in error messages (e.g., corrected `error(e)` to `str(e)`).
-   - Kept robust logging to diagnose issues, including CSV loading, timestamp conversion, and PDF generation.
-
-4. **CSV Validation**:
-   - Retained validation for required columns (`device_id`, `log_type`, `status`, `timestamp`, `usage_hours`, `downtime`, `amc_date`).
-   - Corrected the log preview loop to use `df.head().iterrows()` consistently.
-
-### Prerequisites
-- Install required packages:
-  ```bash
-  pip install gradio pandas plotly scikit-learn transformers torch
-  ```
-- For PDF generation (optional but recommended):
-  ```bash
-  pip install reportlab
-  ```
-- No external tools (e.g., `wkhtmltopdf` or LaTeX) are required unless `reportlab` is installed.
-
-### CSV File Requirements
-- The CSV file must contain the columns: `device_id`, `log_type`, `status`, `timestamp`, `usage_hours`, `downtime`, and `amc_date`.
-- Example CSV structure:
-  ```csv
-  device_id,log_type,status,timestamp,usage_hours,downtime,amc_date
-  DEV001,Maintenance,Active,2025-06-01T10:00:00,5.5,0.2,2025-07-01
-  DEV002,Operation,Inactive,2025-06-02T12:00:00,3.0,1.5,2025-06-15
-  ```
-
-### How to Use
-1. Install the required Python packages listed above. Install `reportlab` if you want PDF generation.
-2. Save the code as `app.py` and run it:
-   ```bash
-   python app.py
-   ```
-3. Open the Gradio interface in your browser (default: `http://0.0.0.0:7860`).
-4. Upload a CSV file with the required columns and click "Analyze".
-5. View the analysis results in the dashboard (summary, preview, chart, anomalies, AMC reminders, insights).
-6. If `reportlab` is installed, download the PDF report from the "Download Report" section. If not, the PDF section will be empty, but other outputs will display.
-
-### Troubleshooting
-- **SyntaxError: unterminated string literal**:
-  - This error should now be resolved. If you encounter another syntax error, check for stray quotes or indentation issues in `app.py`. Ensure your editor uses 4 spaces for indentation and no mixed tabs/spaces.
-
-- **ModuleNotFoundError: No module named 'reportlab'**:
-  - If you see a warning like `reportlab module not found. PDF generation will be disabled`, install `reportlab` using `pip install reportlab` or ignore it if PDF output is not needed.
-
-- **CSV Parsing Error**:
-  - Ensure the CSV file has all required columns and valid data (e.g., `usage_hours` and `downtime` as numbers, `timestamp` and `amc_date` in a recognizable date format like `YYYY-MM-DD` or `YYYY-MM-DDTHH:MM:SS`).
-  - Check the terminal for errors like `Missing required columns` or `Failed to load CSV`.
-
-- **Gradio Interface Issues**:
-  - Ensure port 7860 is available and you’re accessing the correct URL.
-  - Check the terminal for errors like `Failed to initialize Gradio interface`.
-
-- **Other Errors**:
-  - If the interface loads but no output appears, check the terminal for logged errors (e.g., `Failed to process file`).
-  - Share the specific error message or terminal output for further assistance.
-
-- **Dependency Issues**:
-  - Verify all packages are installed using `pip list`. If you encounter version conflicts, use a virtual environment:
-    ```bash
-    python -m venv env
-    source env/bin/activate  # On Windows: env\Scripts\activate
-    pip install gradio pandas plotly scikit-learn transformers torch reportlab
-    ```
-
-### Notes
-- **PDF Generation**: If `reportlab` is not installed, PDF generation is skipped, and a warning is logged. Install `reportlab` for full functionality.
-- **Chart in PDF**: The chart is excluded from the PDF due to complexity in rendering Plotly charts. If needed, I can add code to generate a static image using `plotly.io` and embed it.
-- **Performance**: Large CSV files may slow processing. The anomaly detection function samples to 5,000 rows for larger datasets to prevent memory issues.
-- **Further Issues**: If you encounter other errors, please share the full traceback or terminal output, and I’ll provide a targeted fix.
-
-If you need additional features (e.g., chart inclusion in the PDF, custom PDF styling, or stricter CSV validation) or face another error, please let me know with details!
+        raise e