黄仁欢
22773f3cc8
Add a new match category 'acceptable' for institution name matches with similarity between 60% and 85%, providing more nuanced matching results. Changes: 1. Add ACCEPTABLE_THRESHOLD = 60.0 constant 2. Update classify_match() to include 'acceptable' category 3. Add blue color (#2196f3) for acceptable matches in reports 4. Update all statistics to count acceptable matches separately 5. Modify HTML summary to show 5 columns instead of 4 6. Update JSON output to include acceptable count 7. Add [ACCEPTABLE] symbol in result tables Match levels (from highest to lowest): - exact: 100% similarity → green - partial: >= 85% similarity → orange - acceptable: >= 60% similarity → blue ← NEW - no_match: < 60% similarity → red This improves the granularity of match reporting, especially for cases where OCR artifacts or minor variations cause similarity to drop below the 85% partial threshold but are still reasonably accurate. Co-Authored-By: Claude Code <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)