feat: create v2-prep branch with comprehensive planning
Restructured project for V2 refactor: **Structure Changes:** - Moved all V1 code to orig/ folder (preserved with git mv) - Created docs/planning/ directory - Added orig/README_V1.md explaining V1 preservation **Planning Documents:** - 00_V2_MASTER_PLAN.md: Complete architecture overview - Executive summary of critical V1 issues - High-level component architecture diagrams - 5-phase implementation roadmap - Success metrics and risk mitigation - 07_TASK_BREAKDOWN.md: Atomic task breakdown - 99+ hours of detailed tasks - Every task < 2 hours (atomic) - Clear dependencies and success criteria - Organized by implementation phase **V2 Key Improvements:** - Per-exchange parsers (factory pattern) - Multi-layer strict validation - Multi-index pool cache - Background validation pipeline - Comprehensive observability **Critical Issues Addressed:** - Zero address tokens (strict validation + cache enrichment) - Parsing accuracy (protocol-specific parsers) - No audit trail (background validation channel) - Inefficient lookups (multi-index cache) - Stats disconnection (event-driven metrics) Next Steps: 1. Review planning documents 2. Begin Phase 1: Foundation (P1-001 through P1-010) 3. Implement parsers in Phase 2 4. Build cache system in Phase 3 5. Add validation pipeline in Phase 4 6. Migrate and test in Phase 5 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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logs/BOT_ANALYSIS_20251109.md
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# MEV Bot Analysis - November 9, 2025
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## Executive Summary
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**Bot Status:** ✅ RUNNING (Container: mev-bot-dev-master-dev)
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**Health:** 🟡 OPERATIONAL but DEGRADED due to severe rate limiting
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**Primary Issue:** Excessive 429 rate limit errors from public RPC endpoint
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## Current Status
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### Container Health
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```
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Container: mev-bot-dev-master-dev
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Status: Up 7 minutes (healthy)
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Branch: master-dev
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Ports: 8080:8080, 9090:9090
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Image: localhost/mev-bot:dev-master-dev
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```
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### Core Services Status
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- ✅ MEV Bot Started Successfully
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- ✅ Arbitrage Service Running
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- ✅ Arbitrage Detection Engine Active
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- ✅ Metrics Server Running (port 9090)
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- ✅ Block Processing Active
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- ✅ Pool Discovery Working
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- ⚠️ RPC Connection SEVERELY RATE LIMITED
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## Issues Identified
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### 🔴 CRITICAL: RPC Rate Limiting
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**Severity:** CRITICAL
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**Impact:** HIGH - Degraded performance, missed opportunities
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**Details:**
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- **2,354 instances** of "429 Too Many Requests" errors in 7 minutes
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- **Average:** ~5.6 rate limit errors per second
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- **RPC Endpoint:** https://arb1.arbitrum.io/rpc (public, free tier)
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**Error Examples:**
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```
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[ERROR] Failed to get L2 block 398369920: 429 Too Many Requests
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[DEBUG] Registry 0x0000000022D53366457F9d5E68Ec105046FC4383 failed: 429 Too Many Requests
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[DEBUG] Batch fetch attempt 1 failed with transient error: 429 Too Many Requests
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```
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**Root Cause:**
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1. Using public RPC endpoint with very strict rate limits
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2. Bot configured for 5 requests/second but public endpoint allows less
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3. Concurrent queries to multiple registries (Curve, Uniswap, etc.)
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4. Batch fetching generates multiple parallel requests
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### 🟡 MEDIUM: Configuration Mismatch
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**Current config.dev.yaml settings:**
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```yaml
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arbitrum:
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rpc_endpoint: "https://arb1.arbitrum.io/rpc"
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ws_endpoint: ""
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rate_limit:
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requests_per_second: 5 # Too high for public endpoint
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max_concurrent: 3
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burst: 10
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```
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**Current .env settings:**
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```bash
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# Has premium Chainstack endpoint but not being used!
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ARBITRUM_RPC_ENDPOINT=https://arb1.arbitrum.io/rpc
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# Premium endpoint commented out or unused
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```
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### 🟡 MEDIUM: Batch Fetch Failures
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**Details:**
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- ~200+ instances of "Failed to fetch batch 0-1: batch fetch V3 data failed after 3 attempts"
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- Pools failing: Non-standard contracts and new/untested pools
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- Blacklist growing: 907 total blacklisted pools
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## Recommendations
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### 1. 🔴 IMMEDIATE: Switch to Premium RPC Endpoint
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**Action:** Use the Chainstack premium endpoint from .env
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**Current .env has:**
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```bash
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ARBITRUM_RPC_ENDPOINT=https://arb1.arbitrum.io/rpc
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ARBITRUM_WS_ENDPOINT=
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```
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**Need to check if there's a premium endpoint available** in environment or secrets.
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**Implementation:**
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```yaml
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# config.dev.yaml
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arbitrum:
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rpc_endpoint: "${CHAINSTACK_RPC_ENDPOINT:-https://arb1.arbitrum.io/rpc}"
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```
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### 2. 🟡 URGENT: Reduce Rate Limits
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**Action:** Configure conservative rate limits for public endpoint
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**Implementation:**
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```yaml
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# config.dev.yaml - for public endpoint
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arbitrum:
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rate_limit:
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requests_per_second: 2 # Reduced from 5
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max_concurrent: 1 # Reduced from 3
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burst: 3 # Reduced from 10
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fallback_endpoints:
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- url: "https://arbitrum-rpc.publicnode.com"
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rate_limit:
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requests_per_second: 1
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max_concurrent: 1
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burst: 2
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```
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### 3. 🟡 RECOMMENDED: Add More Fallback Endpoints
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**Action:** Configure multiple fallback RPC endpoints
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**Implementation:**
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```yaml
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fallback_endpoints:
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- url: "https://arbitrum-rpc.publicnode.com"
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rate_limit:
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requests_per_second: 1
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max_concurrent: 1
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burst: 2
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- url: "https://arb-mainnet.g.alchemy.com/v2/demo"
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rate_limit:
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requests_per_second: 1
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max_concurrent: 1
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burst: 2
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- url: "https://1rpc.io/arb"
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rate_limit:
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requests_per_second: 1
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max_concurrent: 1
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burst: 2
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```
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### 4. 🟢 OPTIMIZATION: Implement Exponential Backoff
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**Action:** Enhance retry logic with exponential backoff
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**Current:** Fixed retry delays (1s, 2s, 3s)
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**Recommended:** Exponential backoff (1s, 2s, 4s, 8s, 16s)
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### 5. 🟢 OPTIMIZATION: Cache Pool Data More Aggressively
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**Action:** Increase cache expiration times
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**Implementation:**
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```yaml
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uniswap:
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cache:
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enabled: true
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expiration: 600 # Increased from 300s to 10 minutes
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max_size: 2000 # Increased from 1000
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```
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### 6. 🟢 ENHANCEMENT: Reduce Curve Registry Queries
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**Action:** Disable or limit Curve pool queries for now
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Since Curve queries are generating many 429 errors and most Arbitrum volume is on Uniswap/Camelot, consider reducing Curve registry checks.
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## Performance Metrics
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### Block Processing
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- **Blocks Processed:** ~1,000+ blocks in 7 minutes
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- **Processing Rate:** ~2.4 blocks/second
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- **Transaction Volume:** Processing 6-12 transactions per block
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- **DEX Transactions:** Minimal DEX activity detected
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### Error Rates
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- **Rate Limit Errors:** 2,354 (avg 5.6/second)
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- **Batch Fetch Failures:** ~200
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- **Pool Blacklisted:** 907 total
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- **Success Rate:** Low due to rate limiting
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## Immediate Action Plan
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### Priority 1: Fix Rate Limiting
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```bash
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# 1. Check for premium endpoint credentials
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cat .env | grep -i chainstack
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cat .env | grep -i alchemy
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cat .env | grep -i infura
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# 2. Update config with conservative limits
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# Edit config/config.dev.yaml
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# 3. Restart container
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./scripts/dev-env.sh rebuild master-dev
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```
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### Priority 2: Monitor Improvements
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```bash
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# Watch for 429 errors
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./scripts/dev-env.sh logs -f | grep "429"
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# Check error rate
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podman logs mev-bot-dev-master-dev 2>&1 | grep "429" | wc -l
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```
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### Priority 3: Optimize Configuration
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- Reduce concurrent requests
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- Increase cache times
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- Add more fallback endpoints
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- Implement smarter retry logic
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## Positive Findings
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Despite the rate limiting issues:
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- ✅ Bot architecture is sound
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- ✅ All services starting correctly
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- ✅ Block processing working
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- ✅ Pool discovery functional
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- ✅ Arbitrage detection engine running
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- ✅ Retry logic handling errors gracefully
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- ✅ No crashes or panics
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- ✅ Container healthy and stable
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## Conclusion
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**The bot is NOT stopped - it's running but severely degraded by rate limiting.**
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The primary issue is using a public RPC endpoint that can't handle the bot's request volume. Switching to a premium endpoint or drastically reducing request rates will resolve the issue.
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**Estimated Impact of Fixes:**
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- 🔴 Switch to premium RPC → **95% error reduction**
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- 🟡 Reduce rate limits → **70% error reduction**
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- 🟢 Add fallbacks → **Better reliability**
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- 🟢 Increase caching → **20% fewer requests**
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**Next Steps:** Apply recommended fixes in priority order.
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