Major improvements to batch OCR testing script: 1. PaddleOCRVL Timeout Protection - Add multiprocessing-based timeout mechanism (default: 60s, configurable up to 300s) - Prevents indefinite hangs when PaddleOCRVL encounters problematic seal images - Added _run_ocr_vl_wrapper() function for subprocess execution - All PaddleOCRVL calls now use PADDLEOCRVL_TIMEOUT global variable 2. Command-Line Arguments - --paddleocrvl-timeout: Set custom timeout in seconds (default: 60, recommended: 300) - --disable-paddleocrvl: Skip PaddleOCRVL initialization for faster testing 3. CMA Template Matching Improvements - Change matching method from TM_CCOEFF_NORMED to TM_CCORR_NORMED - Add position filtering (upper 60% of page only) - Prevents false matches in footer areas 4. OCR Result Validation - Add robust handling for different PaddleOCR API response formats - Improved error handling for edge cases - Better CMA code extraction with 11-12 digit pattern matching 5. Bug Fixes - Fixed IndexError when processing OCR results with inconsistent formats - Improved text cleaning for CMA code extraction - Added validation for OCR data structures Performance: - CMA accuracy: 85-100% (depending on PDF quality) - Institution accuracy: 27-100% (improved with seal OCR validation) - Average processing time: 18-35 seconds per PDF Related files: - test_paddleocrvl_timeout.py: Timeout mechanism verification - PADDLEOCRVL_TIMEOUT_FIX_SUMMARY.md: Detailed implementation guide - PADDLEOCRVL_5MIN_TIMEOUT_GUIDE.md: Usage guide for 5-min timeout Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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|---|---|---|
| data | ||
| report_viz | ||
| scripts | ||
| src | ||
| temp_classpath | ||
| .gitignore | ||
| BUILD_REPORT.md | ||
| COMPREHENSIVE_REPORT.md | ||
| DJL_UPGRADE_ATTEMPT_REPORT.md | ||
| IMPLEMENTATION_SUMMARY.md | ||
| INTEGRATION_GUIDE.md | ||
| INTEGRATION_TEST_REPORT.md | ||
| ManualTest.java | ||
| PADDLEOCRVL_INTEGRATION.md | ||
| README.md | ||
| cma_extraction_template_primary.py | ||
| jar_paths.txt | ||
| pom.xml | ||
| reply.md | ||
| res.json | ||
| run_reference_test.bat | ||
| run_test.bat | ||
| run_test_v2.bat | ||
| run_viz_report.bat | ||
| settings.xml | ||
| test_accuracy_batch_full.py | ||
| test_paddleocr_vl_quick.py | ||
| v_verify_logic.py | ||
| 测试结果汇总.txt | ||
README.md
Report Detection Backend
Java-based backend system for automated report validation and comparison using OCR.
Technology Stack
- Core: Java 8 (Spring Boot 2.7.18)
- Security: Sa-Token (RBAC, Session Management)
- OCR Engine: PaddleOCR (via DJL - Deep Java Library)
- Database: PostgreSQL (with Dynamic Datasource support)
- Build Tool: Maven
Features
- RBAC Implementation: Multi-role support (ADMIN, AUDITOR, USER) with uppercase standardization.
- Sa-Token Security: Annotation-based permission checks and secure login.
- Auditor Context Switch: Specialized feature for Auditors to switch between institutional views.
- PDF Processing: Automatic conversion of PDF reports to images for OCR analysis.
- Automated Verification: Integration tests using H2 in-memory database.
Getting Started
Prerequisites
- JDK 8 or 17
- Maven 3.6+
- PostgreSQL (optional for local dev if using H2 profile)
Run the Application
mvn clean package
java -jar target/report-detect-backend-1.0.0.jar
Run Tests
mvn test -Dtest=SecurityRBACVerificationTest
Security Configuration
Default accounts created on initialization:
admin/123456(ADMIN)auditor/123456(AUDITOR)user/123456(USER)