feat(arrow): implement intelligent arrow-shape connection#42
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szj2ys wants to merge 9 commits intoBIT-DataLab:mainfrom
Open
feat(arrow): implement intelligent arrow-shape connection#42szj2ys wants to merge 9 commits intoBIT-DataLab:mainfrom
szj2ys wants to merge 9 commits intoBIT-DataLab:mainfrom
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- Add Navbar with logo and navigation - Add Hero section with CTA and stats - Add UploadSection with file conversion integration - Add Features section with 6 key features - Add Footer with links and copyright - Replace default Next.js template in page.tsx
Setup GitHub Actions CI/CD pipeline - Add frontend CI workflow (lint, type-check, build) - Add backend CI workflow (flake8 lint, syntax check) - Add Vercel deployment workflow - Add PR template with checklist - Add Issue templates for bugs and features
…step - Add optional fields to Job interface in types.ts - Add null checks in upload-section.tsx progress calculation Fixes: 'total_steps' does not exist on type 'Job'
- Install @vercel/analytics package - Add Analytics component to root layout - Track custom events: file_selected, conversion_started, conversion_completed, download_clicked Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Create example-showcase.tsx with interactive before/after gallery - Add 3 example categories: Flowchart, Architecture, Network - Include trust badges with stats - Integrate into main page between Features and Footer Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…iation Add ArrowConnector module that automatically associates arrows with their source and target shapes based on spatial proximity and confidence scoring. Key features: - Distance-based proximity algorithm with configurable threshold (default 50px) - Confidence scoring using exponential decay based on distance - Prefers shapes that strictly contain arrow endpoints over boundary proximity - Stores connection metadata in element.metadata['arrow_connection'] - Full pipeline integration in main.py step [5] - XML generation outputs proper edge elements with source/target attributes Files added: - modules/arrow_connector.py: Core connector implementation - tests/test_arrow_connector.py: 16 comprehensive unit tests Files modified: - modules/data_types.py: Add metadata field to ElementInfo - modules/__init__.py: Export ArrowConnector - main.py: Integrate ArrowConnector into pipeline and XML generation All 16 tests passing.
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Mar 14, 2026
…, and arrow connector Implements comprehensive error handling infrastructure: Backend Changes: - Exception hierarchy with specific error types (SegmentationError, OCRParsingError, etc.) - @Retry decorator with exponential backoff and configurable strategies - PartialResultsHandler for saving/recovering conversion state on failure - Arrow processor module for automatic arrow-shape association - 60 comprehensive unit tests for exceptions, retry, and partial results CI/CD: - GitHub Actions workflows for backend, frontend, and deployment Frontend: Clean merge keeping history persistence and share features Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
Implements ArrowConnector module for automatic association of arrows with their source and target shapes based on spatial proximity and confidence scoring.
Changes
Backend
Tests
Files Modified
Test Plan
Related Issues
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