tried to put in agent

README.md

@@ -9,17 +9,18 @@ app_file: app.py
 pinned: false
 ---
 
-# AI Data Analysis with SmoLagent
+# Singtel Use Case 1: OutSystems Log Analysis with SmoLagent AI
 
-An intelligent data analysis application that uses SmoLagent for AI-powered insights on CSV data.
+An intelligent data analysis application specifically designed for analyzing OutSystems application logs using SmoLagent AI framework. This project focuses on extracting insights from 6 months of OutSystems log data to identify patterns, errors, and optimization opportunities.
 
 ## Features
 
-🤖 **AI-Powered Analysis**: Uses SmoLagent for natural language queries about your data  
-📊 **Interactive Visualizations**: Correlation heatmaps, distribution plots, and more  
-📈 **Statistical Analysis**: Comprehensive statistical summaries and insights  
-🌐 **Web Interface**: User-friendly Gradio interface for easy interaction  
-🔧 **Flexible**: Works with various LLM models (OpenAI, local models, etc.)
+🤖 **AI-Powered Log Analysis**: Uses SmoLagent CodeAgent with DuckDuckGo search for intelligent log analysis  
+📊 **Interactive Visualizations**: Correlation heatmaps, distribution plots, and error pattern analysis  
+📈 **OutSystems-Specific Analytics**: Log level analysis, error module tracking, and performance insights  
+🌐 **Multiple Interfaces**: Command-line, interactive menu, and web-based Gradio interface  
+🔧 **Flexible AI Models**: OpenAI, Ollama (local), and HuggingFace Transformers support  
+🚨 **Error Pattern Detection**: Automated identification of error trends and module issues
 
 ## Quick Start
 
@@ -29,147 +30,253 @@ An intelligent data analysis application that uses SmoLagent for AI-powered insi
    pip install -r requirements.txt
    ```
 
-2. **Configure Your Model** (Optional for basic features)
+2. **Configure Your AI Model** (Choose one option)
 
-   - Edit `config.py` to set up your preferred LLM
-   - Supported: OpenAI, Ollama, Hugging Face, and more
+   **Option A: Free Local AI (Ollama)**
+
+   ```bash
+   # Install Ollama from https://ollama.ai/
+   ollama pull llama2
+   ollama serve
+   python setup_ollama.py  # Test setup
+   ```
+
+   **Option B: OpenAI API**
+
+   ```bash
+   set OPENAI_API_KEY=your_api_key_here
+   ```
+
+   **Option C: Use without AI (basic analysis only)**
+
+   ```bash
+   # No setup needed - basic data analysis works without AI
+   ```
 
 3. **Run the Application**
 
+   **Main Interactive Analysis:**
+
+   ```bash
+   python upload.py
+   # Choose mode 2 for enhanced AI features
+   ```
+
+   **Quick Demo:**
+
+   ```bash
+   python quick_ai_demo.py
+   ```
+
+   **Web Interface:**
+
    ```bash
    python app.py
+   # Open browser to displayed URL
    ```
 
-4. **Access the Interface**
-   - Open your browser to the displayed URL (usually http://localhost:7860)
+4. **Load Your OutSystems Data**
+   - Update file path in `upload.py` or `config.py`
+   - Default: `outsystems_sample_logs_6months.csv`
 
 ## Files Overview
 
-- `app.py` - Main Gradio application with AI analysis features
-- `upload.py` - Data loading and exploration script
-- `analyze.py` - Example script showing SmoLagent usage
-- `config.py` - Configuration file for model setup
-- `requirements.txt` - Python dependencies
+### Main Scripts
+
+- **`upload.py`** - Main data analysis script with interactive menu and AI integration
+- **`app.py`** - Gradio web interface for browser-based analysis
+- **`fixed_upload.py`** - Streamlined working version with automatic model fallbacks
+
+### Setup & Testing Scripts
+
+- **`setup_ollama.py`** - Ollama local AI setup helper
+- **`setup_free_ai.py`** - Free AI models configuration
+- **`test_smolagent.py`** - SmoLagent functionality testing
+- **`quick_ai_demo.py`** - Quick demo without large downloads
+
+### Configuration
 
-## Model Configuration
+- **`config.py`** - Model and data source configuration
+- **`requirements.txt`** - Python dependencies
+- **`ENHANCEMENT_GUIDE.md`** - Enhancement documentation
 
-### OpenAI Models
+### Analysis Examples
+
+- **`analyze.py`** - Programmatic analysis examples
+- **`demo_enhanced.py`** - Enhanced features demonstration
+
+## Model Configuration Options
+
+### 1. Ollama (Recommended - Free & Local)
 
 ```python
-from smolagents.models import OpenAIServerModel
-model = OpenAIServerModel(
-    model_id="gpt-4",
-    api_key="your-openai-api-key"
-)
+from smolagents import CodeAgent, DuckDuckGoSearchTool, OllamaModel
+
+model = OllamaModel(model_id="llama2", base_url="http://localhost:11434")
+agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=model)
 ```
 
-### Local Models (Ollama)
+### 2. OpenAI Models
 
 ```python
-from smolagents.models import LiteLLMModel
-model = LiteLLMModel(
-    model_id="ollama/llama2",
-    api_base="http://localhost:11434"
-)
+from smolagents import CodeAgent, DuckDuckGoSearchTool, OpenAIModel
+
+model = OpenAIModel(model_id="gpt-3.5-turbo")
+agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=model)
 ```
 
-### Hugging Face Models
+### 3. HuggingFace Transformers
 
 ```python
-from smolagents.models import HfApiModel
-model = HfApiModel(
-    model_id="microsoft/DialoGPT-medium",
-    token="your-hf-token"
-)
+from smolagents import CodeAgent, DuckDuckGoSearchTool, TransformersModel
+
+model = TransformersModel(model_id="microsoft/DialoGPT-small")
+agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=model)
 ```
 
 ## Usage Examples
 
-### Basic Data Exploration
+### 1. Interactive Analysis (Recommended)
 
-```python
-python upload.py  # Load and explore your CSV data
+```bash
+python upload.py
+# Choose mode 2 for enhanced AI features
+# Navigate through interactive menu:
+# 1. Load and explore data
+# 2. Create visualizations
+# 3. Analyze data quality
+# 4. AI-powered analysis
 ```
 
-### Interactive Analysis
+### 2. Quick Demo
 
-```python
-python app.py     # Start the web interface
+```bash
+python quick_ai_demo.py  # Basic analysis without heavy downloads
 ```
 
-### Programmatic Analysis
+### 3. Web Interface
 
-```python
-python analyze.py # Run example analysis scripts
+```bash
+python app.py           # Start Gradio web interface
 ```
 
-## Features Available
+### 4. Automated Setup Testing
+
+```bash
+python test_smolagent.py    # Test SmoLagent setup
+python setup_free_ai.py    # Configure free AI models
+```
+
+## OutSystems Log Analysis Features
 
 ### 1. Data Overview Tab
 
-- Dataset shape and structure
-- Column information and data types
-- Missing value analysis
-- Memory usage statistics
+- **Dataset Structure**: 5000+ log entries with 9 columns
+- **Column Analysis**: Timestamp, LogLevel, Module, User, Message, RequestUrl, SessionId, ErrorId, StackTrace
+- **Missing Value Detection**: Identifies incomplete error records (ErrorId/StackTrace gaps)
+- **Memory Usage**: Optimized for large log files
 
-### 2. Basic Statistics Tab
+### 2. Log-Specific Analytics
 
-- Descriptive statistics for all columns
-- Summary statistics (mean, median, std, etc.)
-- Data distribution insights
+- **Error Rate Analysis**: Info vs Error log distribution
+- **Module Error Tracking**: Top error-generating modules identification
+- **Session Analysis**: User session patterns and error correlation
+- **Timestamp Patterns**: Time-based error trends and peak periods
 
-### 3. Visualizations Tab
+### 3. Visualizations
 
-- **Correlation Heatmap**: Shows relationships between numerical variables
-- **Distribution Plots**: Histograms for all numerical columns
+- **Error Distribution Plots**: Visual error patterns across modules
+- **Correlation Analysis**: Relationships between log parameters
+- **Time Series Analysis**: Error trends over 6-month period
 
-### 4. AI Analysis Tab
+### 4. AI-Powered OutSystems Insights
 
-- Natural language queries about your data
-- AI-powered insights and recommendations
-- Automated pattern detection
-- Outlier identification
+- **Error Pattern Recognition**: AI identifies recurring error types
+- **Module Risk Assessment**: Predicts which modules need attention
+- **Performance Optimization**: Suggests improvements based on log patterns
+- **Anomaly Detection**: Unusual log patterns and potential issues
 
-## Example AI Queries
+## Example AI Queries for OutSystems Logs
 
 Ask SmoLagent questions like:
 
-- "What are the main trends in this data?"
-- "Find any outliers or anomalies"
-- "Suggest the best features for prediction"
-- "Identify data quality issues"
-- "Perform clustering analysis"
-- "Find seasonal patterns"
+**Error Analysis:**
+
+- "What are the most common error types in these OutSystems logs?"
+- "Which modules generate the most errors?"
+- "Find patterns in error messages"
+- "Identify critical errors that need immediate attention"
+
+**Performance Insights:**
+
+- "Analyze user session patterns for performance issues"
+- "Find modules with the highest error rates"
+- "Detect unusual activity patterns"
+- "Suggest modules that need code review"
+
+**Trend Analysis:**
+
+- "Show error trends over the 6-month period"
+- "Find seasonal patterns in system usage"
+- "Identify peak error periods"
+- "Correlate errors with specific time periods"
+
+**Data Quality:**
+
+- "Check for incomplete error records"
+- "Find missing StackTrace patterns"
+- "Validate log data completeness"
+- "Suggest data quality improvements"
 
 ## Data Requirements
 
-- CSV format
-- Update the file path in `config.py` or `upload.py`
-- Supports various data types (numerical, categorical, datetime)
+- **Format**: CSV format with OutSystems log structure
+- **Expected Columns**: Timestamp, LogLevel, Module, User, Message, RequestUrl, SessionId, ErrorId, StackTrace
+- **Default File**: `outsystems_sample_logs_6months.csv` (6 months of sample data)
+- **File Location**: Update path in `upload.py` line 11 or `config.py`
+- **Size**: Optimized for datasets with 5000+ log entries
+- **Encoding**: UTF-8 encoding recommended
 
 ## Troubleshooting
 
 ### Common Issues:
 
-1. **File Not Found Error**
+1. **"Module not found: smolagents"**
 
-   - Check the CSV file path in `config.py`
-   - Ensure the file exists and is accessible
+   ```bash
+   pip install 'smolagents[transformers]'
+   pip install duckduckgo-search>=3.8.0
+   ```
 
-2. **Model Configuration Error**
+2. **"CodeAgent requires model parameter"**
 
-   - Verify your API keys in `config.py`
-   - Check model availability and configuration
+   - Run `python fixed_upload.py` for automatic model fallbacks
+   - Or configure Ollama: `python setup_ollama.py`
 
-3. **Dependency Issues**
-   - Run `pip install -r requirements.txt`
-   - Ensure Python 3.8+ is installed
+3. **Model Download Taking Too Long**
+
+   ```bash
+   python quick_ai_demo.py  # Use without heavy downloads
+   ```
+
+4. **OutSystems CSV File Not Found**
+
+   - Update file path in `upload.py` line 11
+   - Ensure CSV file exists at specified location
+   - Check file permissions
+
+5. **Ollama Connection Error**
+   ```bash
+   ollama serve  # Start Ollama server
+   ollama pull llama2  # Download model
+   ```
 
 ### Getting Help:
 
-- Check the console output for detailed error messages
-- Verify your model configuration in `config.py`
-- Ensure your CSV file is properly formatted
+- **Quick Test**: Run `python test_smolagent.py`
+- **Setup Issues**: Run `python setup_free_ai.py`
+- **Basic Analysis**: Use Mode 1 in `upload.py` (works without AI)
+- **Check Logs**: Console output shows detailed error messages
 
 ## Advanced Usage
 
@@ -195,18 +302,88 @@ def create_custom_plot(df):
 
 ## Dependencies
 
-- smolagents - AI agent framework
-- gradio - Web interface
-- pandas - Data manipulation
-- numpy - Numerical computing
-- matplotlib/seaborn - Plotting
-- plotly - Interactive visualizations
-- scikit-learn - Machine learning tools
+**Core AI Framework:**
+
+- `smolagents>=0.3.0` - AI agent framework with CodeAgent
+- `duckduckgo-search>=3.8.0` - Web search capabilities
+
+**Data Analysis Stack:**
+
+- `pandas>=2.0.0` - Data manipulation and analysis
+- `numpy>=1.24.0` - Numerical computing
+- `scikit-learn>=1.3.0` - Machine learning tools
+
+**Visualization:**
+
+- `matplotlib>=3.7.0` - Basic plotting
+- `seaborn>=0.12.0` - Statistical visualizations
+- `plotly>=5.15.0` - Interactive visualizations
+
+**AI Models:**
+
+- `transformers>=4.30.0` - HuggingFace transformers
+- `torch>=2.0.0` - PyTorch for model inference
+- `huggingface_hub>=0.16.0` - Model hub access
+
+**Web Interface:**
+
+- `gradio>=5.37.0` - Web UI framework
+- `Pillow>=10.0.0` - Image processing
+
+**HTTP & Utilities:**
+
+- `requests>=2.31.0` - HTTP requests
+
+## Project Structure
+
+```
+Singtel_Use_Case1/
+├── 📁 Main Scripts
+│   ├── upload.py              # Primary interactive analysis tool
+│   ├── app.py                 # Gradio web interface
+│   └── fixed_upload.py        # Streamlined working version
+│
+├── 📁 Setup & Testing
+│   ├── setup_ollama.py        # Ollama configuration helper
+│   ├── setup_free_ai.py       # Free AI models setup
+│   ├── test_smolagent.py      # SmoLagent testing
+│   └── quick_ai_demo.py       # Quick demo script
+│
+├── 📁 Configuration
+│   ├── config.py              # Model and data configuration
+│   ├── requirements.txt       # Python dependencies
+│   └── ENHANCEMENT_GUIDE.md   # Development guide
+│
+├── 📁 Analysis Examples
+│   ├── analyze.py             # Programmatic analysis
+│   └── demo_enhanced.py       # Feature demonstrations
+│
+└── 📁 Data (Expected)
+    └── outsystems_sample_logs_6months.csv
+```
 
 ## License
 
-This project is open source and available under the MIT License.
+This project is developed for Singtel Use Case 1 analysis and is available under the MIT License.
+
+---
 
-## Configuration Reference
+## Quick Commands Reference
+
+```bash
+# 🚀 Quick Start
+python upload.py              # Main interactive tool
+python quick_ai_demo.py       # Fast demo without downloads
+python app.py                 # Web interface
+
+# 🔧 Setup & Testing
+python setup_ollama.py        # Configure local AI
+python test_smolagent.py      # Test AI setup
+python setup_free_ai.py       # Free models setup
+
+# 📊 Analysis Options
+# Mode 1: Basic data exploration (no AI required)
+# Mode 2: Full AI-powered analysis with interactive menu
+```
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+**For Singtel Use Case 1**: This tool specifically analyzes OutSystems log data to identify error patterns, module performance, and system optimization opportunities using AI-powered insights.