690404:1139 Modify ADR
CI / CD Pipeline / build (push) Successful in 4m34s
CI / CD Pipeline / deploy (push) Successful in 7m33s

This commit is contained in:
2026-04-04 11:39:56 +07:00
parent d775d5ad85
commit c95e0f537e
87 changed files with 7046 additions and 422 deletions
@@ -3,11 +3,19 @@
**Status:** Proposed
**Date:** 2026-04-03
**Version:** 1.8.5
**Review Cycle:** Core ADR (Review every 6 months or Major Version upgrade)
**Decision Makers:** Development Team, AI Integration Lead, System Architect
**Gap Resolution:** Addresses requirement for automated document processing efficiency (Product Vision v1.8.5, Section 3.2) and acceptance criteria for AI-assisted metadata extraction (UAT Criteria, Section 4.7)
**Version Dependency:**
- **Effective From:** v1.9.0
- **Applies To:** v1.9.0+ (Full implementation)
- **Backward Compatible:** v1.8.5 (API endpoints only)
- **Required For:** v2.0.0 (Core AI features)
**Related Documents:**
- [ADR-017: Ollama Data Migration Architecture](./ADR-017-ollama-data-migration.md)
- [ADR-017B: Smart Legacy Document Digitization](./ADR-017B-ollama.md)
- [ADR-017B: AI Document Classification](./ADR-017B-ai-document-classification.md)
- [ADR-018: AI Boundary Policy](./ADR-018-ai-boundary.md) — AI Physical Isolation
- [ADR-019: Hybrid Identifier Strategy](./ADR-019-hybrid-identifier-strategy.md) — UUID Strategy
- [n8n Migration Setup Guide](../03-Data-and-Storage/03-05-n8n-migration-setup-guide.md)
@@ -83,6 +91,45 @@
---
## Impact Analysis
### Affected Components
| Component | Impact Level | Description |
|-----------|--------------|-------------|
| **Backend Architecture** | **High** | New AiModule, MigrationService, database schema changes |
| **Frontend Components** | **Medium** | DocumentReviewForm, Migration Dashboard enhancements |
| **Infrastructure** | **High** | Admin Desktop AI services, n8n workflows, Docker setup |
| **Security Model** | **Medium** | ADR-018 boundary enforcement, new API endpoints |
| **Database Schema** | **Medium** | migration_logs table, ai_audit_logs table |
| **API Layer** | **Medium** | New AI endpoints, authentication scopes |
| **Testing Framework** | **Medium** | AI accuracy tests, integration tests |
| **Documentation** | **Low** | User guides, admin procedures |
### Required Changes
| Change Category | Specific Changes | Priority |
|----------------|------------------|----------|
| **Database** | <ul><li>Create `migration_logs` table (SQL First)</li><li>Create `ai_audit_logs` table</li><li>Update data dictionary</li></ul> | **Critical** |
| **Backend** | <ul><li>Implement AiModule with n8n integration</li><li>Create MigrationService with business logic</li><li>Add AI endpoints with CASL guards</li><li>Update validation layer for AI responses</li></ul> | **Critical** |
| **Frontend** | <ul><li>Build DocumentReviewForm reusable component</li><li>Create Admin Migration Dashboard</li><li>Integrate AI suggestions in RFA form</li><li>Add confidence score indicators</li></ul> | **High** |
| **Infrastructure** | <ul><li>Setup n8n on Admin Desktop (Desk-5439)</li><li>Deploy Ollama with Gemma 4</li><li>Configure PaddleOCR service</li><li>Setup Docker containers</li></ul> | **Critical** |
| **Security** | <ul><li>Implement ADR-018 AI boundaries</li><li>Add AI-specific authentication scopes</li><li>Create audit logging for AI interactions</li><li>Setup rate limiting for AI endpoints</li></ul> | **Critical** |
| **Testing** | <ul><li>AI accuracy validation tests</li><li>End-to-end pipeline tests</li><li>Security boundary verification</li><li>Performance benchmarking</li></ul> | **High** |
| **Documentation** | <ul><li>Admin workflow procedures</li><li>User AI assistance guide</li><li>Troubleshooting procedures</li><li>API documentation updates</li></ul> | **Medium** |
### Cross-Component Dependencies
| Dependency | Source | Target | Impact |
|------------|--------|--------|--------|
| **AI Service → Database** | AiService extraction calls | migration_logs table | Data persistence |
| **Frontend → AI Gateway** | DocumentReviewForm | /api/ai/extract endpoint | Real-time suggestions |
| **n8n → Backend API** | AI workflows | Validation endpoints | Human-in-the-loop |
| **Admin Desktop → QNAP NAS** | AI services | DMS backend API | Security boundary |
| **Migration Service → Storage** | Batch processing | File storage system | Document handling |
---
## Architecture Overview
### Core Technology Stack
@@ -479,7 +526,7 @@ OUTPUT FORMAT:
### Architecture Decision Records
- **[ADR-017: Ollama Data Migration](./ADR-017-ollama-data-migration.md)** — Foundation migration architecture
- **[ADR-017B: Smart Categorization](./ADR-017B-ollama.md)** — AI categorization use cases
- **[ADR-017B: AI Document Classification](./ADR-017B-ai-document-classification.md)** — AI classification use cases
- **[ADR-018: AI Boundary Policy](./ADR-018-ai-boundary.md)** — Security isolation requirements (CRITICAL)
- **[ADR-019: Hybrid Identifier Strategy](./ADR-019-hybrid-identifier-strategy.md)** — UUID usage patterns (CRITICAL)
@@ -500,16 +547,118 @@ OUTPUT FORMAT:
---
## ADR Review Cycle
### Review Classification
**Core ADR Status:** This ADR is classified as a **Core Architecture Decision** due to its fundamental impact on system architecture and security boundaries.
### Review Schedule
| Review Type | Frequency | Trigger | Scope |
|-------------|-----------|---------|-------|
| **Regular Review** | Every 6 months | Calendar-based | Validity assessment, performance metrics |
| **Major Version Review** | Every major version (v2.0.0, v3.0.0) | Version planning | Architecture relevance, compatibility |
| **Security Review** | Annually or after security incident | Security audit | ADR-018 compliance, threat model |
| **Technology Review** | As needed | Tech stack changes | AI model updates, infrastructure changes |
### Review Process
#### Phase 1: Preparation (1 week before review)
1. **Metrics Collection**
- AI accuracy rates and trends
- Performance benchmarks vs targets
- Security incident reports
- User feedback and satisfaction scores
- Technology stack currency assessment
2. **Stakeholder Notification**
- Development Team
- AI Integration Lead
- System Architect
- Security Team
- Product Management
#### Phase 2: Review Meeting (2-hour session)
1. **Current State Assessment**
- Review success metrics achievement
- Identify gaps or deviations from original decision
- Assess technology relevance and currency
2. **Impact Evaluation**
- Measure actual vs expected business impact
- Evaluate implementation challenges
- Identify unintended consequences
3. **Future Considerations**
- Emerging AI technologies
- Changing business requirements
- Scalability concerns
- Security landscape changes
#### Phase 3: Decision & Documentation (1 week after review)
1. **Review Outcomes**
- **No Change:** ADR remains valid and effective
- **Update Required:** Minor adjustments to implementation
- **Supersede:** New ADR created to replace this one
- **Retire:** ADR no longer relevant
2. **Documentation Updates**
- Update review date and findings
- Add new version notes
- Link to related ADRs if created
- Update implementation roadmap
### Review Criteria
| Criterion | Question | Pass/Fail Threshold |
|-----------|----------|---------------------|
| **Effectiveness** | Is AI achieving target accuracy (>85%)? | Pass: ≥85%, Fail: <85% |
| **Performance** | Are processing times within targets (<15s)? | Pass: ≤15s, Fail: >15s |
| **Security** | Is ADR-018 compliance maintained? | Pass: 100% compliant, Fail: Any violation |
| **Adoption** | Are users utilizing AI features? | Pass: >70% adoption, Fail: ≤70% |
| **Maintainability** | Is system supportable with current resources? | Pass: Yes, Fail: Requires additional resources |
| **Technology Currency** | Are AI models and infrastructure up-to-date? | Pass: Current version, Fail: >1 version behind |
### Review History Template
```
## Review Cycle [YYYY-MM-DD]
**Review Type:** [Regular/Major Version/Security/Technology]
**Reviewers:** [Names and roles]
**Duration:** [Meeting date]
### Findings
- [Key findings from metrics and assessment]
### Issues Identified
- [Problems or concerns discovered]
### Recommendations
- [Action items and decisions]
### Outcome
- [No Change/Update Required/Supersede/Retire]
### Next Review Date
- [YYYY-MM-DD]
```
---
## Document History
| Version | Date | Author | Changes |
|---------|------|--------|---------|
| 1.8.5 | 2026-04-03 | AI Integration Lead | Initial ADR — AI Intelligence Integration Architecture |
| 1.8.6 | 2026-04-03 | Tech Lead | Updated — Aligned with detailed task specifications and implementation requirements |
| 1.8.7 | 2026-04-04 | System Architect | Enhanced — Added Impact Analysis template, ADR Review Cycle process, Gap Linking to requirements, and Version Dependency tracking |
---
**Last Updated:** 2026-04-03
**Last Updated:** 2026-04-04
**Status:** Proposed
**Review Date:** 2026-04-10
**Implementation Target:** v1.9.0
**Next Review Date:** 2026-10-04 (6-month regular review)