# ✨ Endobest Dashboard - Features & Capabilities Matrix **Complete Feature Reference** --- ## 🎯 Core Features ### 1. Automated Data Collection #### ✅ Multi-Source Data Integration - **Research Clinic (RC) APIs** - Organizations listing - Inclusion statistics per organization - Patient records & clinical data - Questionnaire responses (optimized batch call) - **Lab APIs (GDD)** - Lab test requests - Diagnostic results - Tube ID tracking - **Questionnaire System** - Single optimized call retrieves ALL questionnaires + answers (4-5x faster) - Support for multiple questionnaire sources - Nested answer structures with JSON path navigation #### ✅ Authentication & Token Management - IAM integration (Ziwig Pro) - Automatic token exchange (RC-specific) - Automatic token refresh on 401 errors - Thread-safe token refresh with locking - Credential input with secure defaults --- ### 2. 100% Externalized Configuration #### ✅ Excel-Based Configuration No code changes needed - all behavior defined in Excel: | Configuration Aspect | Location | Flexibility | |---|---|---| | **Field Extraction** | `Inclusions_Mapping` sheet | Define which fields to extract, from which sources | | **Organization Fields** | `Organizations_Mapping` sheet | Define which org fields to export | | **Excel Export** | `Excel_Workbooks` + `Excel_Sheets` sheets | Define workbooks, templates, sheets, transformations | | **Quality Rules** | `Regression_Check` sheet | Define expected data changes & validation rules | | **Organization Mapping** | `eb_org_center_mapping.xlsx` | Map organization names to center identifiers | #### ✅ Supported Configuration Types - **Field sources:** Questionnaire (by ID/Name/Category), Record, Inclusion, Request, Calculated - **Value transformations:** Labels, templates, boolean conversion, list joining - **Field conditions:** Optional conditional execution (N/A if condition false) - **Custom functions:** Business logic without code modification - **Filters:** AND-condition filtering with nested field support - **Sorting:** Multi-key sorting with datetime parsing - **Value replacement:** Type-strict mapping (boolean, enum, status codes) --- ### 3. High-Performance Multithreading #### ✅ Parallel Processing Architecture - **Organization processing:** Up to 20 concurrent workers - **Patient processing:** Nested async pool (40 workers) for lab/questionnaire fetches - **Configurable thread count:** User selects 1-20 workers - **Non-blocking I/O:** Async lab fetches during main processing #### ✅ Performance Optimizations - **Questionnaire batching:** Single API call per patient instead of N calls (4-5x improvement) - **Thread-local HTTP clients:** Per-thread client instances prevent connection conflicts - **Nested parallelization:** Outer pool for orgs, inner pool for async tasks - **Progress tracking:** Real-time multi-level progress bars with thread-safe updates #### ✅ Typical Performance (Full Dataset) ``` Data Collection: 2-4 minutes (1,200+ patients, 15+ orgs) Quality Checks: 10-15 seconds Excel Export: 5-15 seconds ───────────────────────────── TOTAL: 2.5-5 minutes ``` --- ### 4. Comprehensive Quality Assurance #### ✅ Coherence Checking - Compares API-provided statistics vs. actual collected data - Organization-level validation - Detects data inconsistencies - Warning/Critical severity levels #### ✅ Non-Regression Testing - Compares current vs. previous run - Config-driven validation rules - Detects unexpected changes: - New inclusions - Deleted inclusions - Field value changes - Status transitions - Exception handling (org-specific overrides) - Transition pattern support (expected state changes) #### ✅ Critical Issue Handling - User confirmation required for critical issues - Override capability (continue export despite warnings) - Prevents accidental data replacement - Clear reporting of issue severity --- ### 5. Flexible Data Export #### ✅ JSON Export - **Structure:** Nested by field groups - **Files:** - `endobest_inclusions.json` (~6-7 MB) - `endobest_organizations.json` (~17-20 KB) - **Backup:** Automatic _old file creation - **Format:** UTF-8, 4-space indentation #### ✅ Excel Export (New!) - **Configuration-driven:** All behavior in Excel - **Multi-workbook support:** Generate multiple Excel files - **Template support:** Load & fill Excel templates - **Data transformation pipeline:** - Filter (AND conditions) - Sort (multi-key with datetime) - Replace values (type-strict) - Fill cells/named ranges - **Formula recalculation:** win32com integration (optional) - **File conflict handling:** Overwrite/Increment/Backup strategies - **Template variables:** Dynamic filenames using `.format()` pattern --- ### 6. Advanced Field Processing #### ✅ Field Sources - **Questionnaire sources:** - By ID: Direct lookup (fastest) - By Name: Sequential search - By Category: Sequential search - **Record sources:** Clinical record data - **Inclusion sources:** Patient inclusion metadata - **Request sources:** Lab test data - **Calculated sources:** Custom function execution #### ✅ Field Path Navigation - **Nested path support:** Navigate multi-level structures - **Wildcard support:** Extract lists with `*` operator - **JSON path expressions:** Full structure traversal #### ✅ Value Transformations - **Boolean conversion:** `true_if_any` with multiple match values - **Value labels:** Map values to localized text (French support) - **Field templates:** Format with placeholders (e.g., "$value%") - **List joining:** Flatten arrays with pipe delimiter - **Score dictionaries:** Format as "total/max" - **Type preservation:** Keep original types unless transformed #### ✅ Custom Functions - `search_in_fields_using_regex` - Pattern matching across fields - `extract_parentheses_content` - Extract text in parentheses - `append_terminated_suffix` - Conditional suffix appending - `if_then_else` - Unified conditional logic (8 operators) - `is_true`, `is_false` - Boolean tests - `is_defined`, `is_undefined` - Existence tests - `all_true`, `all_defined` - Multiple field tests - `==`, `!=` - Value comparisons --- ### 7. Organization Enrichment #### ✅ Center Mapping Feature - Optional: Map organization names to center identifiers - **File:** `eb_org_center_mapping.xlsx` - **Configuration:** `Org_Center_Mapping` sheet - **Matching:** Case-insensitive, whitespace-trimmed - **Validation:** No duplicate orgs/centers check - **Graceful degradation:** Missing file doesn't break process - **Fallback:** Unmapped orgs use original name - **No code changes:** Fully configurable via Excel --- ### 8. Robust Error Handling #### ✅ API Error Recovery - **Automatic token refresh** on 401 errors - **Retry mechanism:** Up to 10 attempts with configurable spacing - **Network error handling:** Timeouts, connection refused, DNS failures - **Thread-safe:** Synchronized token refresh across workers #### ✅ Graceful Degradation - **Missing configuration:** Clear error messages with file paths - **Missing organization mapping:** Skip silently, use fallback - **Optional features:** Disabled if dependencies missing (win32com, pytz) - **Partial failures:** Continue with available data - **Thread failures:** Shutdown gracefully, preserve partial results #### ✅ Comprehensive Logging - **Log file:** `dashboard.log` (per run) - **Logged events:** - API errors with attempt counts - Token refresh events - Configuration loading - Quality check results - File I/O operations - Thread errors with stack traces - **Log levels:** WARNING, CRITICAL --- ## 🚀 Execution Modes ### Mode 1: Normal (Full Collection) ```bash python eb_dashboard.py ``` **Workflow:** 1. Authenticate 2. Load configuration 3. Collect from all APIs (2-4 min) 4. Run quality checks (10-15 sec) 5. Export JSON files 6. Generate Excel (if configured) **Use case:** Regular data updates, scheduled runs --- ### Mode 2: Excel-Only (Fast Export) ```bash python eb_dashboard.py --excel_only ``` **Workflow:** 1. Load existing JSON files 2. Load configuration 3. Generate Excel (5-15 sec) **Use case:** Reconfigure reports, test templates, quick re-export --- ### Mode 3: Check-Only (Validation) ```bash python eb_dashboard.py --check-only ``` **Workflow:** 1. Load existing JSON files 2. Run quality checks 3. Report any issues **Use case:** Verify data quality, pre-distribution checks --- ### Mode 4: Check-Only Compare (File Comparison) ```bash python eb_dashboard.py --check-only file1.json file2.json ``` **Workflow:** 1. Load two specific JSON files 2. Run regression check (file1 vs file2) 3. Report differences **Use case:** Compare data snapshots, version comparison --- ### Mode 5: Debug (Verbose Output) ```bash python eb_dashboard.py --debug ``` **Workflow:** 1. Execute normal mode 2. Enable detailed logging 3. Show field-by-field changes **Use case:** Troubleshoot issues, detailed analysis --- ## 📊 Data Quality Features ### ✅ Coherence Check - Compares API counts vs actual collected data - Organization-level validation - Severity: Warning (±10%), Critical (>±10%) ### ✅ Non-Regression Check - Config-driven change detection - Supports transition patterns - Severity: Warning/Critical with overrides - Exception handling per organization ### ✅ Data Validation - Field existence checking - Type validation (boolean, list, dict) - Condition evaluation - Nested structure traversal --- ## 🔧 Technical Capabilities ### ✅ Multi-Level Threading - Organization-level parallelization (20 workers) - Patient-level async operations (40 workers) - Non-blocking I/O during processing - Thread-safe progress tracking ### ✅ API Integration - 3 separate API domains (IAM, RC, GDD) - Dynamic URL routing - Request/response logging - Connection pooling per thread ### ✅ Excel Workbook Generation - openpyxl for reading/writing - Template support - Named range targeting - Formula preservation - win32com integration (formula recalc) ### ✅ Data Processing - JSON parsing & validation - Nested structure navigation - Wildcard pattern matching - Value type preservation - List flattening with delimiters ### ✅ Configuration Management - Excel file parsing - Sheet validation - Row-level configuration loading - JSON column parsing - Type conversion & validation --- ## 🎓 User Experience Features ### ✅ Interactive Interface - Credential input with secure defaults - Thread count selection (1-20) - Progress bar feedback (multi-level) - User confirmation for critical issues - Clear error messages with remediation ### ✅ Progress Tracking ``` Overall Progress [████████░░░░░░░░░░░░] 847/1200 1/15 - Center 1 [████████░░░░░░░░░░░░] 73/95 2/15 - Center 2 [██░░░░░░░░░░░░░░░░░░] 42/110 ``` ### ✅ Logging & Audit Trail - Per-run log file - Timestamped entries - Execution metrics - Error details with context - Searchable log format --- ## 📈 Scalability Features ### ✅ Configurable Parallelization - User-selected thread count (1-20) - Network bandwidth tuning - API rate limit adaptation - Memory-efficient streaming ### ✅ Large Dataset Support - 1,000+ patient support - 100+ organization support - Paginated API calls - Chunked processing ### ✅ Performance Monitoring - Elapsed time tracking - Progress rate display - Estimated time remaining - Per-phase timing --- ## 🔐 Security & Data Protection ### ✅ Credential Handling - Interactive password input (hidden) - Optional default credentials - Token-based API authentication - Automatic token refresh ### ✅ Data Protection - File backup strategy (_old files) - Critical issue confirmation before overwrite - Graceful degradation on errors - No accidental data loss ### ✅ Thread Safety - Per-thread HTTP clients - Synchronized global state - Lock-protected shared resources - Safe concurrent access --- ## 📦 System Integration ### ✅ Platform Support - Windows (primary) - Linux/macOS compatible - PyInstaller executable packaging - Command-line interface ### ✅ Dependency Management - pip-installable packages - Optional dependencies (pywin32, pytz) - Fallback for missing modules - Clear error messages ### ✅ File Format Support - Excel 2007+ (.xlsx) - JSON UTF-8 - Plain text logging - Configuration in Excel --- ## 🎯 Feature Comparison Table | Feature | Implementation | Configuration | Code Changes | Performance | |---------|---|---|---|---| | **Field Extraction** | Multi-source | Excel | ❌ None | Fast | | **Custom Functions** | 4 built-in | Excel register | ⚠️ Function code | Medium | | **Data Filtering** | AND conditions | Excel JSON | ❌ None | Fast | | **Data Sorting** | Multi-key | Excel JSON | ❌ None | Medium | | **Value Mapping** | Type-strict | Excel JSON | ❌ None | Fast | | **Excel Export** | Template-based | Excel | ❌ None | Medium | | **Quality Checks** | Rule-based | Excel | ❌ None | Medium | | **Token Refresh** | Automatic | Code | ⚠️ Constants only | Fast | | **Error Retry** | Configurable | Code | ⚠️ Constants only | Medium | | **Organization Mapping** | File-based | Excel file | ❌ None | Fast | **Legend:** ❌ = No changes, ⚠️ = Constants only, ✅ = Full code modification --- ## 🏆 Key Strengths 1. **100% Configuration-Driven** - No code changes for normal operations 2. **High Performance** - 4-5x faster via optimized APIs 3. **Enterprise-Grade** - Comprehensive error handling & recovery 4. **User-Friendly** - Clear prompts, progress tracking, helpful errors 5. **Flexible** - Multiple execution modes, configurable parameters 6. **Maintainable** - Clean architecture, extensive logging, good documentation 7. **Scalable** - Handles 1,000+ patients, 100+ organizations 8. **Reliable** - Quality checks, data validation, automatic backups --- ## 🔄 Workflow Flexibility ### Multi-Stage Process ``` COLLECT → VALIDATE → EXPORT (JSON + Excel) ↓ CRITICAL ISSUES? ↓ USER CONFIRMS? ↓ YES → CONTINUE | NO → ABORT ``` ### Parallel Data Sources - Clinical Records (RC) - Questionnaire Answers (RC) - Lab Requests (GDD) - Organization Stats (RC) - Patient Demographics (Mixed) ### Sequential Validation Gates 1. Configuration validation (startup) 2. Authentication validation (login) 3. API response validation (each call) 4. Data structure validation (processing) 5. Coherence validation (checks) 6. Regression validation (checks) --- **All features listed above are fully functional and tested in production.** **For implementation details, see DOCUMENTATION_30_ARCHITECTURE_SUMMARY.md**