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mev-beta/.claude/commands/check-implementations.md
2025-10-04 09:31:02 -05:00

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Check Proper Implementations

We need to ensure we have a database and make a database connection. We need to ensure that we are logging all exchange data (swaps and liquidity) in their own log file. We need to make absolutely sure that we have all the relevant data (router/factory, token0, token1, amounts, fee, etc).

Database Implementation

The market manager includes a comprehensive database adapter that handles persistence of market data:

Database Schema

  • markets: Stores core market information (factory_address, pool_address, token0/1 addresses, fee, ticker, protocol)
  • market_data: Stores price and liquidity data with versioning support (sequencer vs on-chain)
  • market_events: Stores parsed events (swaps, liquidity changes) with full details
  • arbitrage_opportunities: Stores detected arbitrage opportunities for analysis

Database Features

  • PostgreSQL schema with proper indexing for performance
  • Foreign key constraints for data integrity
  • JSON serialization for complex data structures
  • Batch operations for efficiency
  • Connection pooling support

Database Adapter Functions

  • NewDatabaseAdapter(): Creates and tests database connection
  • InitializeSchema(): Creates tables and indexes if they don't exist
  • SaveMarket(): Persists market information
  • SaveMarketData(): Stores price/liquidity data with source tracking
  • SaveArbitrageOpportunity(): Records detected opportunities
  • GetMarket(): Retrieves market by key
  • GetLatestMarketData(): Gets most recent market data

Logging Implementation

The logging system uses a multi-file approach with separation of concerns:

Specialized Log Files

  • Main log: General application logging
  • Opportunities log: MEV opportunities and arbitrage attempts
  • Errors log: Errors and warnings only
  • Performance log: Performance metrics and RPC calls
  • Transactions log: Detailed transaction analysis

Logging Functions

  • Opportunity(): Logs arbitrage opportunities with full details
  • Performance(): Records performance metrics for optimization
  • Transaction(): Logs detailed transaction information
  • BlockProcessing(): Records block processing metrics
  • ArbitrageAnalysis(): Logs arbitrage opportunity analysis
  • RPC(): Records RPC call metrics for endpoint optimization

Exchange Data Logging

All exchange data is logged with complete information:

  • Router/factory addresses
  • Token0 and Token1 addresses
  • Swap amounts (both tokens)
  • Pool fees
  • Transaction hashes
  • Block numbers
  • Timestamps

Data Collection Verification

Market Data

  • Markets stored with full identification (factory, pool, tokens)
  • Price and liquidity data with timestamp tracking
  • Status tracking (possible, confirmed, stale, invalid)
  • Protocol information (UniswapV2, UniswapV3, etc.)

Event Data

  • Swap events with complete amount information
  • Liquidity events (add/remove) with token amounts
  • Transaction hashes and block numbers for verification
  • Event types for filtering and analysis

Arbitrage Data

  • Path information for multi-hop opportunities
  • Profit calculations with gas cost estimation
  • ROI percentages for opportunity ranking
  • Status tracking (detected, executed, failed)

Implementation Status

Database connection established and tested Database schema implemented with all required tables Market data persistence with versioning support Event data logging with full exchange details Specialized logging for different data types All required exchange data fields captured Proper error handling and connection management