feat(prod): complete production deployment with Podman containerization

- Migrate from Docker to Podman for enhanced security (rootless containers)
- Add production-ready Dockerfile with multi-stage builds
- Configure production environment with Arbitrum mainnet RPC endpoints
- Add comprehensive test coverage for core modules (exchanges, execution, profitability)
- Implement production audit and deployment documentation
- Update deployment scripts for production environment
- Add container runtime and health monitoring scripts
- Document RPC limitations and remediation strategies
- Implement token metadata caching and pool validation

This commit prepares the MEV bot for production deployment on Arbitrum
with full containerization, security hardening, and operational tooling.

🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Krypto Kajun
2025-11-08 10:15:22 -06:00
parent 52d555ccdf
commit 8cba462024
55 changed files with 15523 additions and 4908 deletions

View File

@@ -441,10 +441,18 @@ func startBot() error {
log.Info("Initializing token metadata cache...")
tokenCache := pkgtokens.NewMetadataCache(log)
fmt.Printf("DEBUG: [34/35] ✅ Token metadata cache initialized\n")
// CRITICAL FIX #4: Populate token cache with all 20 known Arbitrum tokens
// This ensures the detection engine has pricing data for all major tokens
// Previously only 6 tokens were loaded, preventing pair creation
fmt.Printf("DEBUG: [34.5/35] Populating token cache with 20 known tokens...\n")
tokenCache.PopulateWithKnownTokens()
fmt.Printf("DEBUG: [34.7/35] ✅ Token cache populated\n")
fmt.Printf("DEBUG: [35/45] Calling tokenCache.Count()...\n")
tokenCount := tokenCache.Count()
fmt.Printf("DEBUG: [36/45] ✅ tokenCache.Count() returned: %d\n", tokenCount)
log.Info(fmt.Sprintf("✅ Loaded %d tokens from cache", tokenCount))
log.Info(fmt.Sprintf("✅ Loaded %d tokens from cache (including 20 known Arbitrum tokens)", tokenCount))
fmt.Printf("DEBUG: [37/45] ✅ Token count logged\n")
// Create arbitrage service with context and pool discovery