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DOCUMENTATION/DOCUMENTATION_34_FEATURES_MATRIX.md
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# ✨ Endobest Dashboard - Features & Capabilities Matrix
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**Complete Feature Reference**
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---
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## 🎯 Core Features
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### 1. Automated Data Collection
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#### ✅ Multi-Source Data Integration
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- **Research Clinic (RC) APIs**
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- Organizations listing
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- Inclusion statistics per organization
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- Patient records & clinical data
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- Questionnaire responses (optimized batch call)
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- **Lab APIs (GDD)**
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- Lab test requests
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- Diagnostic results
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- Tube ID tracking
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- **Questionnaire System**
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- Single optimized call retrieves ALL questionnaires + answers (4-5x faster)
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- Support for multiple questionnaire sources
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- Nested answer structures with JSON path navigation
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#### ✅ Authentication & Token Management
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- IAM integration (Ziwig Pro)
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- Automatic token exchange (RC-specific)
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- Automatic token refresh on 401 errors
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- Thread-safe token refresh with locking
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- Credential input with secure defaults
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---
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### 2. 100% Externalized Configuration
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#### ✅ Excel-Based Configuration
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No code changes needed - all behavior defined in Excel:
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| Configuration Aspect | Location | Flexibility |
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|---|---|---|
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| **Field Extraction** | `Inclusions_Mapping` sheet | Define which fields to extract, from which sources |
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| **Organization Fields** | `Organizations_Mapping` sheet | Define which org fields to export |
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| **Excel Export** | `Excel_Workbooks` + `Excel_Sheets` sheets | Define workbooks, templates, sheets, transformations |
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| **Quality Rules** | `Regression_Check` sheet | Define expected data changes & validation rules |
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| **Organization Mapping** | `eb_org_center_mapping.xlsx` | Map organization names to center identifiers |
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#### ✅ Supported Configuration Types
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- **Field sources:** Questionnaire (by ID/Name/Category), Record, Inclusion, Request, Calculated
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- **Value transformations:** Labels, templates, boolean conversion, list joining
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- **Field conditions:** Optional conditional execution (N/A if condition false)
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- **Custom functions:** Business logic without code modification
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- **Filters:** AND-condition filtering with nested field support
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- **Sorting:** Multi-key sorting with datetime parsing
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- **Value replacement:** Type-strict mapping (boolean, enum, status codes)
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---
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### 3. High-Performance Multithreading
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#### ✅ Parallel Processing Architecture
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- **Organization processing:** Up to 20 concurrent workers
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- **Patient processing:** Nested async pool (40 workers) for lab/questionnaire fetches
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- **Configurable thread count:** User selects 1-20 workers
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- **Non-blocking I/O:** Async lab fetches during main processing
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#### ✅ Performance Optimizations
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- **Questionnaire batching:** Single API call per patient instead of N calls (4-5x improvement)
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- **Thread-local HTTP clients:** Per-thread client instances prevent connection conflicts
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- **Nested parallelization:** Outer pool for orgs, inner pool for async tasks
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- **Progress tracking:** Real-time multi-level progress bars with thread-safe updates
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#### ✅ Typical Performance (Full Dataset)
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```
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Data Collection: 2-4 minutes (1,200+ patients, 15+ orgs)
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Quality Checks: 10-15 seconds
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Excel Export: 5-15 seconds
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─────────────────────────────
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TOTAL: 2.5-5 minutes
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```
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---
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### 4. Comprehensive Quality Assurance
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#### ✅ Coherence Checking
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- Compares API-provided statistics vs. actual collected data
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- Organization-level validation
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- Detects data inconsistencies
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- Warning/Critical severity levels
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#### ✅ Non-Regression Testing
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- Compares current vs. previous run
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- Config-driven validation rules
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- Detects unexpected changes:
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- New inclusions
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- Deleted inclusions
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- Field value changes
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- Status transitions
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- Exception handling (org-specific overrides)
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- Transition pattern support (expected state changes)
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#### ✅ Critical Issue Handling
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- User confirmation required for critical issues
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- Override capability (continue export despite warnings)
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- Prevents accidental data replacement
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- Clear reporting of issue severity
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---
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### 5. Flexible Data Export
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#### ✅ JSON Export
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- **Structure:** Nested by field groups
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- **Files:**
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- `endobest_inclusions.json` (~6-7 MB)
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- `endobest_organizations.json` (~17-20 KB)
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- **Backup:** Automatic _old file creation
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- **Format:** UTF-8, 4-space indentation
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#### ✅ Excel Export (New!)
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- **Configuration-driven:** All behavior in Excel
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- **Multi-workbook support:** Generate multiple Excel files
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- **Template support:** Load & fill Excel templates
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- **Data transformation pipeline:**
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- Filter (AND conditions)
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- Sort (multi-key with datetime)
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- Replace values (type-strict)
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- Fill cells/named ranges
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- **Formula recalculation:** win32com integration (optional)
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- **File conflict handling:** Overwrite/Increment/Backup strategies
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- **Template variables:** Dynamic filenames using `.format()` pattern
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---
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### 6. Advanced Field Processing
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#### ✅ Field Sources
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- **Questionnaire sources:**
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- By ID: Direct lookup (fastest)
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- By Name: Sequential search
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- By Category: Sequential search
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- **Record sources:** Clinical record data
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- **Inclusion sources:** Patient inclusion metadata
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- **Request sources:** Lab test data
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- **Calculated sources:** Custom function execution
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#### ✅ Field Path Navigation
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- **Nested path support:** Navigate multi-level structures
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- **Wildcard support:** Extract lists with `*` operator
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- **JSON path expressions:** Full structure traversal
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#### ✅ Value Transformations
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- **Boolean conversion:** `true_if_any` with multiple match values
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- **Value labels:** Map values to localized text (French support)
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- **Field templates:** Format with placeholders (e.g., "$value%")
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- **List joining:** Flatten arrays with pipe delimiter
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- **Score dictionaries:** Format as "total/max"
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- **Type preservation:** Keep original types unless transformed
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#### ✅ Custom Functions
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- `search_in_fields_using_regex` - Pattern matching across fields
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- `extract_parentheses_content` - Extract text in parentheses
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- `append_terminated_suffix` - Conditional suffix appending
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- `if_then_else` - Unified conditional logic (8 operators)
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- `is_true`, `is_false` - Boolean tests
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- `is_defined`, `is_undefined` - Existence tests
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- `all_true`, `all_defined` - Multiple field tests
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- `==`, `!=` - Value comparisons
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---
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### 7. Organization Enrichment
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#### ✅ Center Mapping Feature
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- Optional: Map organization names to center identifiers
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- **File:** `eb_org_center_mapping.xlsx`
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- **Configuration:** `Org_Center_Mapping` sheet
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- **Matching:** Case-insensitive, whitespace-trimmed
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- **Validation:** No duplicate orgs/centers check
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- **Graceful degradation:** Missing file doesn't break process
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- **Fallback:** Unmapped orgs use original name
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- **No code changes:** Fully configurable via Excel
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---
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### 8. Robust Error Handling
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#### ✅ API Error Recovery
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- **Automatic token refresh** on 401 errors
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- **Retry mechanism:** Up to 10 attempts with configurable spacing
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- **Network error handling:** Timeouts, connection refused, DNS failures
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- **Thread-safe:** Synchronized token refresh across workers
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#### ✅ Graceful Degradation
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- **Missing configuration:** Clear error messages with file paths
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- **Missing organization mapping:** Skip silently, use fallback
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- **Optional features:** Disabled if dependencies missing (win32com, pytz)
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- **Partial failures:** Continue with available data
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- **Thread failures:** Shutdown gracefully, preserve partial results
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#### ✅ Comprehensive Logging
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- **Log file:** `dashboard.log` (per run)
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- **Logged events:**
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- API errors with attempt counts
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- Token refresh events
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- Configuration loading
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- Quality check results
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- File I/O operations
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- Thread errors with stack traces
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- **Log levels:** WARNING, CRITICAL
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---
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## 🚀 Execution Modes
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### Mode 1: Normal (Full Collection)
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```bash
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python eb_dashboard.py
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```
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**Workflow:**
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1. Authenticate
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2. Load configuration
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3. Collect from all APIs (2-4 min)
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4. Run quality checks (10-15 sec)
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5. Export JSON files
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6. Generate Excel (if configured)
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**Use case:** Regular data updates, scheduled runs
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---
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### Mode 2: Excel-Only (Fast Export)
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```bash
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python eb_dashboard.py --excel_only
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```
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**Workflow:**
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1. Load existing JSON files
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2. Load configuration
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3. Generate Excel (5-15 sec)
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**Use case:** Reconfigure reports, test templates, quick re-export
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---
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### Mode 3: Check-Only (Validation)
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```bash
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python eb_dashboard.py --check-only
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```
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**Workflow:**
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1. Load existing JSON files
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2. Run quality checks
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3. Report any issues
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**Use case:** Verify data quality, pre-distribution checks
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---
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### Mode 4: Check-Only Compare (File Comparison)
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```bash
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python eb_dashboard.py --check-only file1.json file2.json
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```
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**Workflow:**
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1. Load two specific JSON files
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2. Run regression check (file1 vs file2)
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3. Report differences
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**Use case:** Compare data snapshots, version comparison
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---
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### Mode 5: Debug (Verbose Output)
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```bash
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python eb_dashboard.py --debug
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```
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**Workflow:**
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1. Execute normal mode
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2. Enable detailed logging
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3. Show field-by-field changes
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**Use case:** Troubleshoot issues, detailed analysis
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---
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## 📊 Data Quality Features
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### ✅ Coherence Check
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- Compares API counts vs actual collected data
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- Organization-level validation
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- Severity: Warning (±10%), Critical (>±10%)
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### ✅ Non-Regression Check
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- Config-driven change detection
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- Supports transition patterns
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- Severity: Warning/Critical with overrides
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- Exception handling per organization
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### ✅ Data Validation
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- Field existence checking
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- Type validation (boolean, list, dict)
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- Condition evaluation
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- Nested structure traversal
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---
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## 🔧 Technical Capabilities
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### ✅ Multi-Level Threading
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- Organization-level parallelization (20 workers)
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- Patient-level async operations (40 workers)
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- Non-blocking I/O during processing
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- Thread-safe progress tracking
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### ✅ API Integration
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- 3 separate API domains (IAM, RC, GDD)
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- Dynamic URL routing
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- Request/response logging
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- Connection pooling per thread
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### ✅ Excel Workbook Generation
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- openpyxl for reading/writing
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- Template support
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- Named range targeting
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- Formula preservation
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- win32com integration (formula recalc)
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### ✅ Data Processing
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- JSON parsing & validation
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- Nested structure navigation
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- Wildcard pattern matching
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- Value type preservation
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- List flattening with delimiters
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### ✅ Configuration Management
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- Excel file parsing
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- Sheet validation
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- Row-level configuration loading
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- JSON column parsing
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- Type conversion & validation
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---
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## 🎓 User Experience Features
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### ✅ Interactive Interface
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- Credential input with secure defaults
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- Thread count selection (1-20)
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- Progress bar feedback (multi-level)
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- User confirmation for critical issues
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- Clear error messages with remediation
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### ✅ Progress Tracking
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```
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Overall Progress [████████░░░░░░░░░░░░] 847/1200
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1/15 - Center 1 [████████░░░░░░░░░░░░] 73/95
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2/15 - Center 2 [██░░░░░░░░░░░░░░░░░░] 42/110
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```
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### ✅ Logging & Audit Trail
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- Per-run log file
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- Timestamped entries
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- Execution metrics
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- Error details with context
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- Searchable log format
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---
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## 📈 Scalability Features
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### ✅ Configurable Parallelization
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- User-selected thread count (1-20)
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- Network bandwidth tuning
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- API rate limit adaptation
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- Memory-efficient streaming
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### ✅ Large Dataset Support
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- 1,000+ patient support
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- 100+ organization support
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- Paginated API calls
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- Chunked processing
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### ✅ Performance Monitoring
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- Elapsed time tracking
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- Progress rate display
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- Estimated time remaining
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- Per-phase timing
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---
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## 🔐 Security & Data Protection
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### ✅ Credential Handling
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- Interactive password input (hidden)
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- Optional default credentials
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- Token-based API authentication
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- Automatic token refresh
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### ✅ Data Protection
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- File backup strategy (_old files)
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- Critical issue confirmation before overwrite
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- Graceful degradation on errors
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- No accidental data loss
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### ✅ Thread Safety
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- Per-thread HTTP clients
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- Synchronized global state
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- Lock-protected shared resources
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- Safe concurrent access
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---
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## 📦 System Integration
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### ✅ Platform Support
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- Windows (primary)
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- Linux/macOS compatible
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- PyInstaller executable packaging
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- Command-line interface
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### ✅ Dependency Management
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- pip-installable packages
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- Optional dependencies (pywin32, pytz)
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- Fallback for missing modules
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- Clear error messages
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### ✅ File Format Support
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- Excel 2007+ (.xlsx)
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- JSON UTF-8
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- Plain text logging
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- Configuration in Excel
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---
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## 🎯 Feature Comparison Table
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| Feature | Implementation | Configuration | Code Changes | Performance |
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|---------|---|---|---|---|
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| **Field Extraction** | Multi-source | Excel | ❌ None | Fast |
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| **Custom Functions** | 4 built-in | Excel register | ⚠️ Function code | Medium |
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| **Data Filtering** | AND conditions | Excel JSON | ❌ None | Fast |
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| **Data Sorting** | Multi-key | Excel JSON | ❌ None | Medium |
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| **Value Mapping** | Type-strict | Excel JSON | ❌ None | Fast |
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| **Excel Export** | Template-based | Excel | ❌ None | Medium |
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| **Quality Checks** | Rule-based | Excel | ❌ None | Medium |
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| **Token Refresh** | Automatic | Code | ⚠️ Constants only | Fast |
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| **Error Retry** | Configurable | Code | ⚠️ Constants only | Medium |
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| **Organization Mapping** | File-based | Excel file | ❌ None | Fast |
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**Legend:** ❌ = No changes, ⚠️ = Constants only, ✅ = Full code modification
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---
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## 🏆 Key Strengths
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1. **100% Configuration-Driven** - No code changes for normal operations
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2. **High Performance** - 4-5x faster via optimized APIs
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3. **Enterprise-Grade** - Comprehensive error handling & recovery
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4. **User-Friendly** - Clear prompts, progress tracking, helpful errors
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5. **Flexible** - Multiple execution modes, configurable parameters
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6. **Maintainable** - Clean architecture, extensive logging, good documentation
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7. **Scalable** - Handles 1,000+ patients, 100+ organizations
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8. **Reliable** - Quality checks, data validation, automatic backups
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---
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## 🔄 Workflow Flexibility
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### Multi-Stage Process
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```
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COLLECT → VALIDATE → EXPORT (JSON + Excel)
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↓
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CRITICAL ISSUES?
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↓
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USER CONFIRMS?
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↓
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YES → CONTINUE | NO → ABORT
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```
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### Parallel Data Sources
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- Clinical Records (RC)
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- Questionnaire Answers (RC)
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- Lab Requests (GDD)
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- Organization Stats (RC)
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- Patient Demographics (Mixed)
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### Sequential Validation Gates
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1. Configuration validation (startup)
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2. Authentication validation (login)
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3. API response validation (each call)
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4. Data structure validation (processing)
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5. Coherence validation (checks)
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6. Regression validation (checks)
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---
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**All features listed above are fully functional and tested in production.**
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**For implementation details, see DOCUMENTATION_30_ARCHITECTURE_SUMMARY.md**
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||||
Reference in New Issue
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