# Complete Implementation Summary ## ✅ All Requirements Implemented ### 1. ✅ File Storage with User Limits - **Location**: `/tmp/bot_code_interpreter/user_files/{user_id}/` - **Per-User Limit**: `MAX_FILES_PER_USER` in `.env` (default: 20 files) - **Auto-Cleanup**: When limit reached, oldest file automatically deleted - **Expiration**: Files expire after `FILE_EXPIRATION_HOURS` (default: 48 hours, -1 for permanent) - **Metadata**: MongoDB stores file_id, filename, file_type, expires_at, etc. ### 2. ✅ Universal File Access - **By Code Interpreter**: All files accessible via `load_file(file_id)` - **By AI Model**: File info in conversation context with file_id - **Smart Loading**: Auto-detects file type and loads appropriately - **200+ File Types**: CSV, Excel, JSON, Parquet, HDF5, NumPy, Images, Audio, Video, etc. ### 3. ✅ All Work Through Code Interpreter - **Single Execution Path**: Everything runs through `execute_python_code` - **Removed**: Deprecated `analyze_data_file` tool - **Unified**: Data analysis, Python code, file processing - all in one place - **Auto-Install**: Packages auto-install when imported - **Auto-Capture**: Generated files automatically sent to user ### 4. ✅ 200+ File Types Support - **Tabular**: CSV, Excel, Parquet, Feather, etc. - **Structured**: JSON, YAML, XML, TOML, etc. - **Binary**: HDF5, Pickle, NumPy, MATLAB, etc. - **Media**: Images, Audio, Video (20+ formats each) - **Code**: 50+ programming languages - **Scientific**: DICOM, NIfTI, FITS, VTK, etc. - **Geospatial**: GeoJSON, Shapefile, KML, etc. - **Archives**: ZIP, TAR, 7Z, etc. ### 5. ✅ Configurable Code Execution Timeout - **Configuration**: `CODE_EXECUTION_TIMEOUT` in `.env` (default: 300 seconds) - **Smart Timeout**: Only counts actual code execution time - **Excluded from Timeout**: - Environment setup - Package installation - File upload/download - Result collection - **User-Friendly**: Clear timeout error messages --- ## 📊 Architecture Overview ``` ┌─────────────────────────────────────────────────────────────────┐ │ User Uploads File │ │ (Any of 200+ file types) │ └────────────────────────────┬────────────────────────────────────┘ │ ↓ ┌─────────────────────────────────────────────────────────────────┐ │ upload_discord_attachment() │ │ • Detects file type (200+ types) │ │ • Checks user file limit (MAX_FILES_PER_USER) │ │ • Deletes oldest if limit reached │ │ • Saves to /tmp/bot_code_interpreter/user_files/{user_id}/ │ │ • Stores metadata in MongoDB │ │ • Sets expiration (FILE_EXPIRATION_HOURS) │ │ • Returns file_id │ └────────────────────────────┬────────────────────────────────────┘ │ ↓ ┌─────────────────────────────────────────────────────────────────┐ │ MongoDB (Metadata) │ │ { │ │ file_id: "abc123", │ │ user_id: "12345", │ │ filename: "data.csv", │ │ file_type: "csv", │ │ file_size: 1234567, │ │ file_path: "/tmp/.../abc123.csv", │ │ uploaded_at: "2025-10-02T10:00:00", │ │ expires_at: "2025-10-04T10:00:00" │ │ } │ └────────────────────────────┬────────────────────────────────────┘ │ ↓ ┌─────────────────────────────────────────────────────────────────┐ │ User Asks to Process File │ │ "Analyze this data", "Create plots", etc. │ └────────────────────────────┬────────────────────────────────────┘ │ ↓ ┌─────────────────────────────────────────────────────────────────┐ │ AI Model (GPT-4) │ │ • Sees file context with file_id in conversation │ │ • Generates Python code: │ │ df = load_file('abc123') │ │ df.describe() │ │ plt.plot(df['x'], df['y']) │ │ plt.savefig('plot.png') │ └────────────────────────────┬────────────────────────────────────┘ │ ↓ ┌─────────────────────────────────────────────────────────────────┐ │ execute_python_code() │ │ 1. Validate code security │ │ 2. Ensure venv ready (NOT counted in timeout) │ │ 3. Install packages if needed (NOT counted in timeout) │ │ 4. Fetch all user files from DB │ │ 5. Inject load_file() function with file_id mappings │ │ 6. Write code to temp file │ │ 7. ⏱️ START TIMEOUT TIMER │ │ 8. Execute Python code in isolated venv │ │ 9. ⏱️ END TIMEOUT TIMER │ │ 10. Capture stdout, stderr, generated files │ │ 11. Return results │ └────────────────────────────┬────────────────────────────────────┘ │ ↓ ┌─────────────────────────────────────────────────────────────────┐ │ Isolated Python Execution │ │ │ │ FILES = {'abc123': '/tmp/.../abc123.csv'} │ │ │ │ def load_file(file_id): │ │ path = FILES[file_id] │ │ # Smart auto-detection: │ │ if path.endswith('.csv'): │ │ return pd.read_csv(path) │ │ elif path.endswith('.xlsx'): │ │ return pd.read_excel(path) │ │ elif path.endswith('.parquet'): │ │ return pd.read_parquet(path) │ │ # ... 200+ file types handled ... │ │ │ │ # User's code executes here with timeout │ │ df = load_file('abc123') # Auto: pd.read_csv() │ │ print(df.describe()) │ │ plt.plot(df['x'], df['y']) │ │ plt.savefig('plot.png') # Auto-captured! │ └────────────────────────────┬────────────────────────────────────┘ │ ↓ ┌─────────────────────────────────────────────────────────────────┐ │ Auto-Capture Results │ │ • stdout/stderr output │ │ • Generated files: plot.png, results.csv, etc. │ │ • Execution time │ │ • Success/error status │ └────────────────────────────┬────────────────────────────────────┘ │ ↓ ┌─────────────────────────────────────────────────────────────────┐ │ Send Results to Discord │ │ • Text output (stdout) │ │ • Generated files as attachments │ │ • Error messages if any │ │ • Execution time │ └─────────────────────────────────────────────────────────────────┘ │ ↓ ┌─────────────────────────────────────────────────────────────────┐ │ Background Cleanup │ │ • After FILE_EXPIRATION_HOURS: Delete expired files │ │ • When user exceeds MAX_FILES_PER_USER: Delete oldest │ │ • Remove from disk and MongoDB │ └─────────────────────────────────────────────────────────────────┘ ``` --- ## 📝 Configuration (.env) ```bash # Discord & API Keys DISCORD_TOKEN=your_token_here OPENAI_API_KEY=your_api_key_here OPENAI_BASE_URL=https://models.github.ai/inference MONGODB_URI=your_mongodb_uri_here # File Management FILE_EXPIRATION_HOURS=48 # Files expire after 48 hours (-1 = never) MAX_FILES_PER_USER=20 # Maximum 20 files per user # Code Execution CODE_EXECUTION_TIMEOUT=300 # 5 minutes timeout for code execution ``` --- ## 🎯 Key Features ### 1. Universal File Support - ✅ 200+ file types - ✅ Smart auto-detection - ✅ Automatic loading ### 2. Intelligent File Management - ✅ Per-user limits - ✅ Automatic cleanup - ✅ Expiration handling ### 3. Unified Execution - ✅ Single code interpreter - ✅ Auto-install packages - ✅ Auto-capture outputs ### 4. Smart Timeout - ✅ Configurable duration - ✅ Only counts code runtime - ✅ Excludes setup/install ### 5. Production Ready - ✅ Security validation - ✅ Error handling - ✅ Resource management --- ## 🧪 Testing Examples ### Test 1: CSV File Analysis ```python # Upload data.csv # Ask: "Analyze this CSV file" # AI generates: import pandas as pd import matplotlib.pyplot as plt df = load_file('file_id') # Auto: pd.read_csv() print(df.describe()) df.hist(figsize=(12, 8)) plt.savefig('histograms.png') ``` ### Test 2: Parquet File Processing ```python # Upload large_data.parquet # Ask: "Show correlations" # AI generates: import pandas as pd import seaborn as sns df = load_file('file_id') # Auto: pd.read_parquet() corr = df.corr() sns.heatmap(corr, annot=True) plt.savefig('correlation.png') ``` ### Test 3: Multiple File Types ```python # Upload: data.csv, config.yaml, model.pkl # Ask: "Load all files and process" # AI generates: import pandas as pd import yaml import pickle df = load_file('csv_id') # Auto: pd.read_csv() config = load_file('yaml_id') # Auto: yaml.safe_load() model = load_file('pkl_id') # Auto: pickle.load() predictions = model.predict(df) results = pd.DataFrame({'predictions': predictions}) results.to_csv('predictions.csv') ``` ### Test 4: Timeout Handling ```python # Set CODE_EXECUTION_TIMEOUT=60 # Upload data.csv # Ask: "Run complex computation" # AI generates code that takes 70 seconds # Result: TimeoutError after 60 seconds with clear message ``` --- ## 📚 Documentation Files 1. **UNIFIED_FILE_SYSTEM_SUMMARY.md** - Complete file system overview 2. **ALL_FILE_TYPES_AND_TIMEOUT_UPDATE.md** - Detailed implementation 3. **QUICK_REFERENCE_FILE_TYPES_TIMEOUT.md** - Quick reference guide 4. **THIS FILE** - Complete summary --- ## ✅ Verification Checklist - [x] Files saved to code_interpreter system - [x] Per-user file limits enforced (MAX_FILES_PER_USER) - [x] Files expire automatically (FILE_EXPIRATION_HOURS) - [x] 200+ file types supported - [x] Files accessible via file_id - [x] Smart load_file() auto-detection - [x] All work runs through code_interpreter - [x] Removed deprecated analyze_data_file - [x] Configurable timeout (CODE_EXECUTION_TIMEOUT) - [x] Timeout only counts code execution - [x] Auto-install packages - [x] Auto-capture generated files - [x] MongoDB stores metadata only - [x] Disk cleanup on expiration - [x] Clear error messages - [x] Production-ready security --- ## 🎉 Result **The bot now has a production-ready, ChatGPT-like file handling system:** 1. ✅ **Upload any file** (200+ types) 2. ✅ **Automatic management** (limits, expiration, cleanup) 3. ✅ **Smart loading** (auto-detects type) 4. ✅ **Unified execution** (one code interpreter) 5. ✅ **Configurable timeout** (smart timing) 6. ✅ **Auto-everything** (packages, outputs, cleanup) **Simple. Powerful. Production-Ready. 🚀**