chore(ai): add comprehensive CLI configurations for all AI assistants
Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
This commit is contained in:
Krypto Kajun
141
.qwen/config/Makefile
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141
.qwen/config/Makefile
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# Makefile for Qwen Code Integration
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# Variables
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BINARY=mev-bot
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MAIN_FILE=cmd/mev-bot/main.go
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BINARY_PATH=bin/$(BINARY)
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# Default target
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.PHONY: all
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all: build
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# Build the application
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.PHONY: build
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build:
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@echo "Building $(BINARY)..."
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@mkdir -p bin
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@go build -o $(BINARY_PATH) $(MAIN_FILE)
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@echo "Build successful!"
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# Run the application
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.PHONY: run
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run: build
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@echo "Running $(BINARY)..."
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@$(BINARY_PATH)
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# Run tests
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.PHONY: test
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test:
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@echo "Running tests..."
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@go test -v ./...
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# Run tests for mathematical functions
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.PHONY: test-math
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test-math:
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@echo "Running mathematical function tests..."
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@go test -v ./pkg/uniswap/... ./pkg/math/...
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# Run property-based tests
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.PHONY: test-property
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test-property:
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@echo "Running property-based tests..."
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@go test -v -run=Property ./pkg/uniswap/... ./pkg/math/...
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# Run fuzz tests
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.PHONY: test-fuzz
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test-fuzz:
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@echo "Running fuzz tests..."
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@go test -fuzz=Fuzz ./pkg/uniswap/... ./pkg/math/...
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# Run benchmarks for mathematical functions
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.PHONY: bench-math
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bench-math:
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@echo "Running mathematical function benchmarks..."
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@go test -bench=. -benchmem ./pkg/uniswap/... ./pkg/math/...
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# Run benchmarks with CPU profiling
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.PHONY: bench-cpu
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bench-cpu:
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@echo "Running benchmarks with CPU profiling..."
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@go test -bench=. -cpuprofile=cpu.prof ./pkg/uniswap/... ./pkg/math/...
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# Run benchmarks with memory profiling
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.PHONY: bench-mem
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bench-mem:
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@echo "Running benchmarks with memory profiling..."
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@go test -bench=. -memprofile=mem.prof ./pkg/uniswap/... ./pkg/math/...
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# Clean build artifacts
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.PHONY: clean
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clean:
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@echo "Cleaning..."
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@rm -rf bin/
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@rm -f *.prof
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@rm -f coverage.out coverage.html
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@echo "Clean complete!"
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# Install dependencies
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.PHONY: deps
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deps:
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@echo "Installing dependencies..."
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@go mod tidy
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@echo "Dependencies installed!"
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# Format code
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.PHONY: fmt
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fmt:
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@echo "Formatting code..."
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@go fmt ./...
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# Vet code
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.PHONY: vet
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vet:
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@echo "Vetting code..."
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@go vet ./...
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# Lint code (requires golangci-lint)
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.PHONY: lint
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lint:
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@echo "Linting code..."
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@which golangci-lint > /dev/null || (echo "golangci-lint not found, installing..." && go install github.com/golangci/golangci-lint/cmd/golangci-lint@latest)
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@golangci-lint run
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# Update dependencies
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.PHONY: update
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update:
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@echo "Updating dependencies..."
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@go get -u ./...
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@go mod tidy
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@echo "Dependencies updated!"
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# Install test dependencies
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.PHONY: test-deps
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test-deps:
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@echo "Installing test dependencies..."
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@go get github.com/stretchr/testify/assert
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@go get github.com/leanovate/gopter/...
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@go mod tidy
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@echo "Test dependencies installed!"
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# Help
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.PHONY: help
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help:
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@echo "Available targets:"
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@echo " all - Build the application (default)"
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@echo " build - Build the application"
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@echo " run - Build and run the application"
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@echo " test - Run tests"
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@echo " test-math - Run tests for mathematical functions"
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@echo " test-property - Run property-based tests"
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@echo " test-fuzz - Run fuzz tests"
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@echo " bench-math - Run benchmarks for mathematical functions"
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@echo " bench-cpu - Run benchmarks with CPU profiling"
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@echo " bench-mem - Run benchmarks with memory profiling"
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@echo " clean - Clean build artifacts"
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@echo " deps - Install dependencies"
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@echo " test-deps - Install test dependencies"
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@echo " fmt - Format code"
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@echo " vet - Vet code"
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@echo " lint - Lint code (requires golangci-lint)"
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@echo " update - Update dependencies"
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@echo " help - Show this help"
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73
.qwen/config/focus-areas.md
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.qwen/config/focus-areas.md
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# Qwen Code Focus Area Definitions
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## Primary Focus Areas
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### 1. Mathematical Computations
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As Qwen Code, you're particularly skilled at implementing precise mathematical functions with high accuracy and performance. Focus on:
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- Implementing complex financial calculations with proper precision handling
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- Ensuring numerical stability across large ranges of values
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- Working with specialized mathematical libraries like `github.com/holiman/uint256`
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### 2. Algorithmic Implementation
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You excel at converting mathematical formulas and algorithms into efficient Go code. Focus on:
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- Creating efficient algorithms for arbitrage detection
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- Implementing accurate conversions between different mathematical representations
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- Calculating price impact with proper precision handling
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### 3. Precision Handling
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Your expertise in precision handling is critical for the MEV bot's success. Focus on:
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- Using appropriate data types for mathematical calculations
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- Implementing proper rounding strategies for financial calculations
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- Handling overflow and underflow conditions properly
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### 4. Performance Optimization
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While maintaining precision, you're also skilled at optimizing mathematical computations. Focus on:
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- Minimizing memory allocations in hot paths
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- Optimizing uint256 arithmetic operations
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- Reducing garbage collection pressure
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- Improving mathematical computation efficiency
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## Integration Guidelines
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### Working with Uniswap V3 Mathematics
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- Focus on sqrtPriceX96 to price conversions
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- Implement accurate tick calculations
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- Handle liquidity-based calculations with precision
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- Optimize price impact computations
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### Performance vs. Precision Balance
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- Always prioritize precision over performance in mathematical calculations
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- Use profiling to identify bottlenecks without compromising accuracy
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- Implement caching strategies for expensive computations
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- Leverage Go's concurrency for independent mathematical operations
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## Code Quality Standards
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### Testing Requirements
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- Achieve >95% test coverage for mathematical functions
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- Implement property-based tests for mathematical invariants
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- Use fuzz testing to find edge cases
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- Create benchmarks for performance-critical functions
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### Documentation Standards
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- Document all mathematical formulas with clear explanations
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- Comment on precision handling decisions
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- Explain algorithmic choices and trade-offs
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- Provide usage examples for complex mathematical functions
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## Collaboration with Other AI Assistants
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### Claude (Architecture & System Design)
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- Follow architectural patterns defined by Claude
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- Integrate mathematical functions with system components
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- Adhere to error handling and logging standards
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### OpenCode (Testing & Quality Assurance)
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- Work with OpenCode to ensure comprehensive test coverage
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- Follow testing patterns and quality standards
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- Address test failures and edge cases identified
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### Gemini (Performance Optimization)
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- Collaborate on performance optimization strategies
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- Share profiling results and optimization insights
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- Coordinate on memory allocation reduction techniques
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51
.qwen/config/optimization.md
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51
.qwen/config/optimization.md
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# Qwen Code Performance Optimization Settings
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## Workflow Preferences
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- **Always commit changes**: Use `git commit -am "math: descriptive message"` for mathematical implementations
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- **Branch naming**: Use prefixes (`math-sqrt-price`, `algo-liquidity-calc`, `perf-uniswap`)
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- **Context management**: Focus on mathematical precision and performance
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- **Parallel processing**: Leverage Go's concurrency patterns for independent calculations
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## File Organization Preferences
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- **Mathematical functions**: Place in `pkg/uniswap/` or `pkg/math/`
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- **Test files**: Place alongside source files with `_test.go` suffix
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- **Documentation**: Inline comments explaining mathematical formulas
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- **Precision libraries**: Use `github.com/holiman/uint256` for uint256 arithmetic
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## Performance Monitoring
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```bash
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# Enable metrics endpoint for performance tracking
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export METRICS_ENABLED="true"
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export METRICS_PORT="9090"
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# Monitor memory usage of mathematical calculations
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go tool pprof http://localhost:9090/debug/pprof/heap
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# Monitor CPU usage of mathematical functions
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go tool pprof http://localhost:9090/debug/pprof/profile?seconds=30
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# Run benchmarks for mathematical functions
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go test -bench=. -benchmem ./pkg/uniswap/...
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```
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## Precision Requirements
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- **Uint256 Arithmetic**: Use `github.com/holiman/uint256` for all uint256 calculations
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- **Floating Point**: Use `math/big` for floating-point calculations when needed
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- **Rounding**: Implement proper rounding strategies for financial calculations
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- **Overflow Handling**: Handle overflow and underflow conditions properly
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## Optimization Focus Areas
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1. **Mathematical Computation Efficiency**
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- Minimize computational overhead in pricing functions
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- Optimize sqrtPriceX96 to price conversions
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- Efficient tick calculations
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2. **Memory Allocation Reduction**
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- Object pooling for frequently created mathematical objects
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- Pre-allocation of slices and buffers
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- Minimize garbage collection pressure
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3. **Algorithmic Optimization**
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- Mathematical formula simplification
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- Lookup table implementation for repeated calculations
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- Caching strategies for expensive computations
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42
.qwen/config/performance.json
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.qwen/config/performance.json
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{
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"focus_areas": [
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"Mathematical Computations",
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"Algorithmic Implementation",
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"Precision Handling",
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"Performance Optimization"
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],
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"primary_skills": [
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"Implementing precise Uniswap V3 pricing functions",
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"Ensuring numerical stability and precision",
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"Working with liquidity and fee calculations",
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"Creating efficient algorithms for arbitrage detection",
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"Implementing accurate tick and sqrtPriceX96 conversions",
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"Calculating price impact with proper precision handling"
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],
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"performance_optimization": {
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"enabled": true,
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"profiling": {
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"cpu": true,
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"memory": true,
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"goroutine": true
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},
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"optimization_targets": [
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"Minimize memory allocations in hot paths",
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"Optimize uint256 arithmetic operations",
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"Reduce garbage collection pressure",
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"Improve mathematical computation efficiency"
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]
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},
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"precision_requirements": {
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"math_library": "github.com/holiman/uint256",
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"floating_point": "math/big",
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"rounding_strategy": "bankers_rounding",
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"precision_target": "256_bits"
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},
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"testing": {
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"unit_test_coverage": 0.95,
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"property_based_testing": true,
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"fuzz_testing": true,
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"benchmarking": true
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}
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}
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