c54c569f30
Completed clean root directory structure: - Root now contains only: .git, .env, docs/, orig/ - Moved all remaining files and directories to orig/: - Config files (.claude, .dockerignore, .drone.yml, etc.) - All .env variants (except active .env) - Git config (.gitconfig, .github, .gitignore, etc.) - Tool configs (.golangci.yml, .revive.toml, etc.) - Documentation (*.md files, @prompts) - Build files (Dockerfiles, Makefile, go.mod, go.sum) - Docker compose files - All source directories (scripts, tests, tools, etc.) - Runtime directories (logs, monitoring, reports) - Dependency files (node_modules, lib, cache) - Special files (--delete) - Removed empty runtime directories (bin/, data/) V2 structure is now clean: - docs/planning/ - V2 planning documents - orig/ - Complete V1 codebase preserved - .env - Active environment config (not in git) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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You are an expert in Go testing and test-driven development. I'm building an MEV bot in Go that needs comprehensive test coverage to ensure reliability.
I need help with:
- Creating unit tests for Uniswap V3 pricing calculations
- Implementing integration tests for Arbitrum monitoring
- Creating mock contracts and transactions for testing
- Testing market scanning algorithms with real-world data
- Implementing property-based testing for mathematical functions
- Creating benchmarks for performance-critical code
Please provide production-ready Go test code that:
- Uses the standard testing package and testify for assertions
- Implements table-driven tests for pricing functions
- Creates realistic mock data for testing
- Includes benchmarks for performance-critical functions
- Follows Go testing best practices
- Provides comprehensive coverage
- Includes comprehensive comments
The test code should:
- Test edge cases and boundary conditions
- Validate mathematical accuracy of pricing functions
- Simulate network errors and timeouts
- Test various swap scenarios
- Benchmark performance of critical algorithms
- Provide meaningful test output