c7b86de3fb
Initialize frontend infrastructure for Sprint 3 Landing Page: Infrastructure Setup: - Create React + Vite + TypeScript project in frontend/ directory - Install Tailwind CSS, PostCSS, Autoprefixer dependencies - Generate tailwind.config.js with content paths - Generate postcss.config.js with plugins configuration - Add Tailwind directives (@tailwind base/components/utilities) to src/index.css - Update root .gitignore to exclude frontend/node_modules and build artifacts Documentation Updates: - Add CHANGELOG.md entry for Sprint 3 Landing Page development start - Update README.md with frontend development instructions - Add Node.js and npm prerequisites - Document npm commands: install, dev, build, preview Project Structure: ├── frontend/ │ ├── src/ │ │ ├── App.tsx │ │ ├── main.tsx │ │ ├── index.css (with Tailwind) │ │ └── assets/ │ ├── index.html │ ├── package.json │ ├── tailwind.config.js │ ├── postcss.config.js │ └── vite.config.ts Safety First: - Verified directory doesn't exist before creation - Checked all configuration files are valid - Excluded node_modules from git - No project code modified, only new frontend directory added Refs: docs/frontend_landing_plan.md Next: Start developing landing page components
136 lines
5.8 KiB
Markdown
136 lines
5.8 KiB
Markdown
# Changelog
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All notable changes to this project will be documented in this file.
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The format is based on [Common Changelog](https://common-changelog.org/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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### Added
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- feat: Sprint 3 - Landing Page Development Started
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- Initialize React + Vite + TypeScript project in `frontend/` directory
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- Install and configure Tailwind CSS, PostCSS, Autoprefixer
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- Setup project structure following docs/frontend_landing_plan.md
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- Configure .gitignore for frontend dependencies and build artifacts
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- Add Tailwind directives to src/index.css
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- Ready for component development and styling
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- feat: Create n8n workflow `LogWhisperer_Ingest` for secure log ingestion
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- Webhook trigger on POST `/webhook/logwhisperer/ingest`
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- HMAC-SHA256 signature validation with anti-replay protection
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- Data validation (UUID, severity levels, non-empty raw_log)
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- PostgreSQL storage with automatic table creation
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- Conditional AI processing for critical severity logs
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- JSON export at `workflows/logwhisperer_ingest.json`
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- Test suite at `workflows/test_workflow.sh`
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- Integration guide at `workflows/INTEGRATION.md`
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- Documentation at `workflows/README.md`
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- Implements Metodo Sacchi: Safety First, Little Often, Double Check
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- feat: Configure MCP servers for enhanced AI capabilities
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- sequential-thinking MCP for structured problem solving
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- context7 MCP for contextual library documentation retrieval
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- n8n MCP for workflow automation integration
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- docs: Add agent-specific configurations in `.opencode/agents/`
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- @n8n_specialist_agent for n8n workflow management
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- @context_auditor_agent for documentation alignment checks
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- docs: Add skill playbooks in `.opencode/skills/`
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- TDD_Python_Specialist: Test-driven development workflow
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- Git_and_Changelog: Conventional commits and changelog standards
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- n8n_automation_mastery: n8n workflow best practices
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- context7_documentation_retrivial: Context-aware documentation lookup
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- docs: Add requirements.txt with Python dependencies (pytest, requests)
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- docs: Add AI Pipeline technical specification
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- System prompt with Metodo Sacchi integration (Safety First, Little Often, Double Check)
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- OpenRouter configuration (migrated from OpenAI direct)
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- 25% cost savings (~$0.00015/call vs ~$0.0002/call)
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- Multi-provider fallback (300+ models available)
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- Automatic failover if primary provider down
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- Complete n8n Code Node JavaScript implementation
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- OpenRouter endpoint: https://openrouter.ai/api/v1
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- Required headers: HTTP-Referer, X-Title for ranking
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- Model format: provider/model (e.g., openai/gpt-4o-mini)
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- JSON output schema with severity mapping (critical/medium/low)
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- Error handling with circuit breaker pattern
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- Security guidelines (data sanitization, rate limiting)
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- 10 acceptance criteria defined
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- 5 test scenarios with expected input/output
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- 5 real-world examples (OOM, disk full, connection refused, etc.)
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- Implementation checklist for developers
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### Changed
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- docs: Update README.md with complete project structure
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- Add MCP configuration section
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- Document all agent configurations
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- Include skill playbooks in project tree
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- Update setup instructions with requirements.txt
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- docs: Refactor setup documentation structure (moved to `docs/1.setup_procedure/`)
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## [0.1.1] - 2026-04-02
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### Added
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- docs: Project Review Sprint 1 complete analysis
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- Product Manager review: UVP alignment (7.05/10)
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- Tech Lead review: Architecture assessment (7.5/10)
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- Security Auditor review: Risk analysis (5.75/10)
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- Comprehensive recommendations for Sprint 2
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### Changed
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- docs: Major README.md refactoring with badges and improved navigation
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- docs: Updated all sprint documentation to "Completed" status
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## [0.1.0] - 2026-04-02
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### Added
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- feat: Implement log ingestion script (`logwhisperer.sh`) for monitoring system logs
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- Monitor multiple log sources: syslog, nginx, postgresql
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- Pattern matching for critical errors (FATAL, ERROR, OOM, segfault, disk full)
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- JSON payload generation with severity levels (low, medium, critical)
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- Rate limiting to prevent alert flooding (30s per source/pattern)
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- Offset tracking for each log file to avoid reprocessing
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- HTTP POST dispatch to configurable webhook with retry logic
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- Dry-run mode for testing pattern matching without sending webhooks
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- Configuration file support (`/etc/logwhisperer/config.env`)
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- Command-line flags: `--help`, `--validate`, `--config`, `--dry-run`, `--test-line`
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- feat: Create installation script (`install.sh`)
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- Interactive configuration wizard
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- UUID v4 generation for CLIENT_ID
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- Systemd service creation (when run as root)
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- Support for both system-wide and user-local installation
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- Prerequisite checking (bash, curl)
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- Connectivity test to webhook URL
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- test: Add comprehensive test suite (`tests/test_logwhisperer.py`)
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- Script existence and executable validation
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- Configuration validation tests
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- Pattern matching tests (FATAL, OOM, ERROR patterns)
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- JSON payload structure validation
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- Severity mapping verification
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- docs: Create technical specification for Feature 1 (Log Ingestion)
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- Architecture diagram and component description
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- Requirements (functional and non-functional)
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- Safety guidelines (Metodo Sacchi)
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- Acceptance criteria
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- docs: Create Sprint 1 verification report (`docs/sprint1_verification.md`)
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- Complete verification of all Sprint 1 deliverables
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- Test results summary (12/12 tests passed)
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- Acceptance criteria checklist
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- Security audit results
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- Code quality assessment
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### Security
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- Configuration files created with restrictive permissions (600)
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- No hardcoded credentials in scripts
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- HTTPS validation for webhook URLs (warning for non-HTTPS)
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- Read-only access to log files (no modifications)
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