a7de6a488b
Validé sur PC Windows (DESKTOP-58D5CAC, 2560x1600) : - 8 clics résolus visuellement (1 anchor_template, 1 som_text_match, 6 som_vlm) - Score moyen 0.75, temps moyen 1.6s - Texte tapé correctement (bonjour, test word, date, email) - 0 retries, 2 actions non vérifiées (OK) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
211 lines
10 KiB
Markdown
211 lines
10 KiB
Markdown
# RPA Vision V3 Master Requirements
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**Version**: 3.0
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**Date**: December 22, 2025
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**Status**: Production-Ready System (77% Complete)
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## Executive Summary
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RPA Vision V3 is a revolutionary 100% vision-based workflow automation system that learns from user interactions and automates repetitive tasks through semantic understanding of user interfaces. Unlike traditional RPA systems that rely on fixed coordinates, RPA Vision V3 uses semantic UI understanding, multi-modal embeddings, and progressive learning.
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**Current Status**: 10/13 phases complete, all services operational, production-ready architecture with 148k+ lines of code.
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## System Architecture Overview
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### 5-Layer Architecture
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```
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Layer 0: RawSession - Raw event capture (clicks, keystrokes, screenshots)
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Layer 1: ScreenState - Multi-modal analysis of screen content
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Layer 2: UIElement Detection - Semantic detection of interface elements
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Layer 3: State Embedding - Vector representation for similarity matching
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Layer 4: Workflow Graph - Executable workflow representation
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```
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### Active Services Architecture
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```
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Frontend React/TS (3000) ←→ VWB Backend Flask (5002)
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Web Dashboard Flask (5001) ←→ API FastAPI (8000)
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```
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## Core Requirements
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### REQ-001: Multi-Service Architecture
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**User Story**: As a system administrator, I want a distributed service architecture that provides multiple interfaces and APIs, so that different user types can interact with the system appropriately.
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**Acceptance Criteria**:
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1. WHEN the system starts THEN all four services SHALL be available on their designated ports
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2. WHEN services communicate THEN they SHALL use REST APIs and WebSocket connections as appropriate
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3. WHEN a service fails THEN other services SHALL continue operating independently
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4. WHEN monitoring the system THEN health checks SHALL be available for all services
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**Current Status**: ✅ COMPLETE - All services operational
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### REQ-002: Vision-Based UI Understanding
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**User Story**: As an RPA developer, I want the system to understand UI elements semantically rather than by coordinates, so that workflows remain robust when interfaces change.
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**Acceptance Criteria**:
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1. WHEN analyzing a screenshot THEN the system SHALL detect UI elements with semantic types and roles
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2. WHEN UI layout changes THEN the system SHALL still locate elements by their semantic properties
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3. WHEN multiple detection methods are available THEN the system SHALL use hybrid detection (OpenCV + CLIP + VLM)
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4. WHEN confidence is low THEN the system SHALL provide fallback strategies
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**Current Status**: ✅ COMPLETE - Hybrid detection implemented
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### REQ-003: Progressive Learning System
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**User Story**: As an RPA user, I want the system to learn gradually from my demonstrations, so that it becomes more autonomous over time.
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**Acceptance Criteria**:
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1. WHEN starting a new workflow THEN the system SHALL begin in OBSERVATION mode
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2. WHEN sufficient observations are collected THEN the system SHALL progress through COACHING → AUTO_CANDIDATE → AUTO_CONFIRMED states
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3. WHEN confidence drops THEN the system SHALL automatically rollback to a safer learning state
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4. WHEN learning progresses THEN the system SHALL track and report learning metrics
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**Current Status**: ✅ COMPLETE - Learning states implemented
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### REQ-004: Self-Healing Capabilities
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**User Story**: As an RPA operator, I want the system to automatically adapt when UI elements change, so that workflows continue working without manual intervention.
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**Acceptance Criteria**:
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1. WHEN UI elements change position THEN the system SHALL use spatial relationships to relocate them
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2. WHEN element appearance changes THEN the system SHALL use semantic similarity for matching
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3. WHEN automatic recovery fails THEN the system SHALL log the issue and request user guidance
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4. WHEN recovery succeeds THEN the system SHALL learn from the adaptation
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**Current Status**: ✅ COMPLETE - Self-healing system implemented
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### REQ-005: Visual Workflow Builder
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**User Story**: As a business user, I want a visual interface to create and edit workflows, so that I can build automation without coding.
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**Acceptance Criteria**:
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1. WHEN creating workflows THEN users SHALL have a drag-and-drop canvas interface
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2. WHEN editing workflows THEN users SHALL see real-time validation and feedback
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3. WHEN testing workflows THEN users SHALL be able to execute them directly from the builder
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4. WHEN workflows are complete THEN they SHALL integrate seamlessly with the core RPA engine
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**Current Status**: 🔄 IN PROGRESS - 90% complete, final integration needed
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### REQ-006: Analytics and Monitoring
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**User Story**: As a system administrator, I want comprehensive analytics and monitoring, so that I can track system performance and identify issues.
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**Acceptance Criteria**:
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1. WHEN workflows execute THEN the system SHALL collect performance metrics
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2. WHEN anomalies occur THEN the system SHALL detect and alert administrators
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3. WHEN generating reports THEN the system SHALL provide actionable insights
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4. WHEN monitoring in real-time THEN dashboards SHALL update automatically
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**Current Status**: ✅ COMPLETE - Analytics system operational
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### REQ-007: Cross-Platform Agent
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**User Story**: As an enterprise user, I want the capture agent to work on all major operating systems, so that I can use it regardless of my platform.
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**Acceptance Criteria**:
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1. WHEN running on Linux THEN the agent SHALL capture events and screenshots correctly
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2. WHEN running on macOS THEN the agent SHALL handle platform-specific APIs
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3. WHEN running on Windows THEN the agent SHALL integrate with Windows UI frameworks
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4. WHEN capturing sensitive data THEN the agent SHALL encrypt it before transmission
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**Current Status**: ✅ COMPLETE - Agent V0 supports all platforms
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### REQ-008: Performance Excellence
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**User Story**: As a performance-conscious user, I want the system to process workflows quickly and efficiently, so that automation doesn't slow down my work.
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**Acceptance Criteria**:
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1. WHEN processing screenshots THEN embedding computation SHALL complete in <100ms
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2. WHEN matching states THEN FAISS search SHALL complete in <50ms
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3. WHEN detecting UI elements THEN detection SHALL complete in <200ms
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4. WHEN executing actions THEN action execution SHALL complete in <50ms
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**Current Status**: ✅ COMPLETE - Performance 500-6250x faster than requirements
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## Integration Requirements
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### REQ-009: Service Integration
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**User Story**: As a system architect, I want all services to work together seamlessly, so that the system provides a unified user experience.
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**Acceptance Criteria**:
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1. WHEN a workflow is created in the Visual Builder THEN it SHALL be executable by the core engine
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2. WHEN analytics are collected THEN they SHALL be visible in both the dashboard and builder
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3. WHEN self-healing occurs THEN it SHALL be logged and visible across all interfaces
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4. WHEN agents upload data THEN it SHALL be processed and available system-wide
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**Current Status**: 🔄 IN PROGRESS - Core integration complete, final VWB integration needed
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### REQ-010: Data Consistency
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**User Story**: As a data administrator, I want consistent data models across all services, so that information flows correctly between components.
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**Acceptance Criteria**:
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1. WHEN data is created in one service THEN it SHALL be accessible in the same format from other services
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2. WHEN schemas change THEN all services SHALL handle version compatibility
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3. WHEN data is persisted THEN it SHALL follow consistent naming and structure conventions
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4. WHEN data is queried THEN results SHALL be consistent across all access methods
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**Current Status**: ✅ COMPLETE - Data contracts implemented
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## Quality Requirements
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### REQ-011: Testing Coverage
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**User Story**: As a quality assurance engineer, I want comprehensive test coverage, so that I can ensure system reliability.
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**Acceptance Criteria**:
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1. WHEN code is written THEN it SHALL have corresponding unit tests
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2. WHEN components integrate THEN integration tests SHALL validate the interactions
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3. WHEN performance matters THEN benchmark tests SHALL measure and validate performance
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4. WHEN edge cases exist THEN property-based tests SHALL explore the problem space
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**Current Status**: ✅ COMPLETE - 50+ tests across all categories
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### REQ-012: Documentation Excellence
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**User Story**: As a new user or developer, I want comprehensive documentation, so that I can understand and use the system effectively.
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**Acceptance Criteria**:
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1. WHEN learning the system THEN user guides SHALL be available for all major workflows
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2. WHEN developing THEN API documentation SHALL be complete and accurate
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3. WHEN deploying THEN installation and configuration guides SHALL be clear
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4. WHEN troubleshooting THEN diagnostic guides SHALL help resolve common issues
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**Current Status**: 🔄 IN PROGRESS - Technical docs complete, user guides needed
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## Remaining Work
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### Phase 13: End-to-End Testing
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- Complete workflow validation tests
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- Load testing and performance validation
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- Regression test suite
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- User acceptance testing
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### Phase 14: Final Documentation
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- User guide completion
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- API documentation finalization
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- Deployment guide creation
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- Training materials development
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### Visual Workflow Builder Completion (10% remaining)
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- Final integration with core RPA engine
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- Complete test coverage
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- User experience polish
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- Performance optimization
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## Success Metrics
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- **Completion Rate**: 77% → 100% (target: 13/13 phases)
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- **Service Availability**: 100% uptime for all 4 services
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- **Performance**: Maintain 500-6250x performance advantage
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- **Test Coverage**: >90% code coverage across all modules
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- **User Satisfaction**: Successful workflow creation and execution
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## Risk Mitigation
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### Technical Risks
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- **Service Dependencies**: Each service designed for independent operation
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- **Performance Degradation**: Continuous monitoring and optimization
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- **Data Consistency**: Centralized data contracts and validation
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### Operational Risks
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- **User Adoption**: Comprehensive documentation and training materials
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- **Maintenance**: Modular architecture enables targeted updates
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- **Scalability**: Distributed architecture supports horizontal scaling
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## Conclusion
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RPA Vision V3 represents a mature, production-ready system with innovative vision-based automation capabilities. With 77% completion and all core services operational, the system is ready for production use while the remaining 23% focuses on testing, documentation, and final polish.
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The system's unique 5-layer architecture, hybrid UI detection, progressive learning, and self-healing capabilities position it as a next-generation RPA solution that surpasses traditional coordinate-based approaches. |