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market-study-knowledge

Knowledge base for the Market Study crawler project — a NestJS service that crawls 80+ European car marketplaces.

Contents

File Purpose
failure-patterns.md Recurring failure modes across all crawler sites
fix-playbook.md Step-by-step operational fix procedures
foundational.md Architecture deep-dive: ES indices, RMQ, S3, deactivation pipeline
graylog-queries.md Graylog query templates for production debugging
multi-day-trend-analysis.md Methodology for multi-day anti-bot pressure analysis
alert-emails.md Alert email formats and false-alarm signals
aliases.json Site name → canonical slug mapping (auto-rebuilt)
code-standards.md Project code conventions, patterns, naming rules
market-study-knowledge.md Curated topic index: active vehicles, ES indices, ScrapeDo, SVL, etc.
anomaly-rules.md Queue anomaly detection rules for ams-health
queue-health-rules.md RabbitMQ queue health thresholds
feedback-loop.md How the ams-health skill improves over time
outlook-mcp-setup.md Setting up Outlook MCP for alert email integration
sites/ Per-site history, quirks, and incident timeline (~100 sites)

Setup (one-time)

git clone git@github.com:Preskok/market-study-knowledge.git ~/Projects/market-study-knowledge

No manual pulls needed — the crawler-sync skill auto-pushes updates after every sync run. Teammates can git pull at any time for the latest.

⚠️ Disclaimer

This repo is maintained largely by Claude (AI). Knowledge files are auto-generated from Slack incident history, Confluence pages, and session harvests — no code review, no manual approval process. Direct pushes to main only.

Use at your own risk. Not everything here is guaranteed to be accurate or up to date. Treat it as a helpful starting point, not a source of truth. If something looks wrong, fix it directly — there is no bureaucracy here.

About

Market Study crawler knowledge base — site history, failure patterns, fix playbook, Graylog queries. AI-maintained.

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