Major changes: - Organized Python v1 implementation into v1/ subdirectory - Created Rust workspace with 9 modular crates: - wifi-densepose-core: Core types, traits, errors - wifi-densepose-signal: CSI processing, phase sanitization, FFT - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch) - wifi-densepose-api: Axum-based REST/WebSocket API - wifi-densepose-db: SQLx database layer - wifi-densepose-config: Configuration management - wifi-densepose-hardware: Hardware abstraction - wifi-densepose-wasm: WebAssembly bindings - wifi-densepose-cli: Command-line interface Documentation: - ADR-001: Workspace structure - ADR-002: Signal processing library selection - ADR-003: Neural network inference strategy - DDD domain model with bounded contexts Testing: - 69 tests passing across all crates - Signal processing: 45 tests - Neural networks: 21 tests - Core: 3 doc tests Performance targets: - 10x faster CSI processing (~0.5ms vs ~5ms) - 5x lower memory usage (~100MB vs ~500MB) - WASM support for browser deployment
118 lines
2.2 KiB
Markdown
118 lines
2.2 KiB
Markdown
# hook post-edit
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Execute post-edit processing including formatting, validation, and memory updates.
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## Usage
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```bash
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npx claude-flow hook post-edit [options]
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```
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## Options
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- `--file, -f <path>` - File path that was edited
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- `--auto-format` - Automatically format code (default: true)
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- `--memory-key, -m <key>` - Store edit context in memory
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- `--train-patterns` - Train neural patterns from edit
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- `--validate-output` - Validate edited file
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## Examples
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### Basic post-edit hook
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```bash
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npx claude-flow hook post-edit --file "src/components/Button.jsx"
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```
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### With memory storage
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```bash
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npx claude-flow hook post-edit -f "api/auth.js" --memory-key "auth/login-implementation"
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```
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### Format and validate
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```bash
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npx claude-flow hook post-edit -f "config/webpack.js" --auto-format --validate-output
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```
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### Neural training
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```bash
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npx claude-flow hook post-edit -f "utils/helpers.ts" --train-patterns --memory-key "utils/refactor"
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```
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## Features
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### Auto Formatting
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- Language-specific formatters
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- Prettier for JS/TS/JSON
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- Black for Python
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- gofmt for Go
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- Maintains consistency
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### Memory Storage
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- Saves edit context
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- Records decisions made
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- Tracks implementation details
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- Enables knowledge sharing
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### Pattern Training
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- Learns from successful edits
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- Improves future suggestions
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- Adapts to coding style
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- Enhances coordination
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### Output Validation
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- Checks syntax correctness
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- Runs linting rules
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- Validates formatting
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- Ensures quality
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## Integration
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This hook is automatically called by Claude Code when:
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- After Edit tool completes
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- Following MultiEdit operations
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- During file saves
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- After code generation
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Manual usage in agents:
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```bash
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# After editing files
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npx claude-flow hook post-edit --file "path/to/edited.js" --memory-key "feature/step1"
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```
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## Output
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Returns JSON with:
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```json
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{
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"file": "src/components/Button.jsx",
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"formatted": true,
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"formatterUsed": "prettier",
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"lintPassed": true,
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"memorySaved": "component/button-refactor",
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"patternsTrained": 3,
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"warnings": [],
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"stats": {
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"linesChanged": 45,
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"charactersAdded": 234
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}
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}
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```
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## See Also
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- `hook pre-edit` - Pre-edit preparation
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- `Edit` - File editing tool
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- `memory usage` - Memory management
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- `neural train` - Pattern training
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