Architecture: - ja4_logs: raw log ingestion (http_logs_raw, http_logs, mv_http_logs) - ja4_processing: analytics, aggregation, ML, dictionaries, audit Configuration (env vars): - CLICKHOUSE_DB_LOGS (default: ja4_logs) - CLICKHOUSE_DB_PROCESSING (default: ja4_processing) Changes: - SQL migrations (10 files): all mabase_prod refs → ja4_logs or ja4_processing with correct cross-database references (MVs, views, dicts) - deploy_schema.sh: substitutes DB names from env vars at deploy time - Python shared settings: added CLICKHOUSE_DB_LOGS + CLICKHOUSE_DB_PROCESSING - Dashboard routes (19 files): replaced ~80 hardcoded mabase_prod refs with settings.CLICKHOUSE_DB_LOGS / settings.CLICKHOUSE_DB_PROCESSING - Bot-detector: DB → CLICKHOUSE_DB_PROCESSING, fetch_rules.py configurable - Correlator: DSN example updated to ja4_logs - Docker-compose + .env files: new env vars with defaults - All documentation updated (14 markdown files) All tests pass: sentinel 10/10, correlator 67.1%, bot-detector 11, dashboard 20, ja4_common 18 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
13 lines
332 B
Plaintext
13 lines
332 B
Plaintext
# bot-detector configuration — DO NOT COMMIT real values
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CLICKHOUSE_HOST=clickhouse
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CLICKHOUSE_PORT=8123
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CLICKHOUSE_DB=ja4_processing
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CLICKHOUSE_DB_LOGS=ja4_logs
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CLICKHOUSE_DB_PROCESSING=ja4_processing
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CLICKHOUSE_USER=admin
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CLICKHOUSE_PASSWORD=
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ANOMALY_THRESHOLD=-0.1
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DEDUP_TTL_MIN=60
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HEALTH_PORT=8080
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MIN_VALID_FEATURE_RATIO=0.5
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