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feat: split ClickHouse into dual configurable databases (ja4_logs / ja4_processing)

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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>
This commit is contained in:
toto
2026-04-07 19:10:35 +02:00
parent b6391afbeb
commit 9f3e0621e5
46 changed files with 638 additions and 549 deletions
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2
docs/services/bot-detector.md
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@ -177,7 +177,7 @@ The `view_ai_features_1h` view enriches each IP with Anubis bot detection using
|----------|------|---------|-------------|
| `CLICKHOUSE_HOST` | string | `clickhouse` | ClickHouse server hostname |
| `CLICKHOUSE_PORT` | int | `8123` | ClickHouse HTTP port |
| `CLICKHOUSE_DB` | string | `mabase_prod` | Database name |
| `CLICKHOUSE_DB` | string | `ja4_processing` | Database name |
| `CLICKHOUSE_USER` | string | `admin` | ClickHouse username |
| `CLICKHOUSE_PASSWORD` | string | `""` | ClickHouse password |
| `ISOLATION_CONTAMINATION` | float | `0.02` | Contamination parameter for Isolation Forest |

4
docs/services/dashboard.md
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@ -1,6 +1,6 @@
# Dashboard
The dashboard is a SOC (Security Operations Center) web application built with FastAPI (backend) and React (frontend) that provides real-time visualization, investigation, and analysis of bot detections generated by the [bot-detector](bot-detector.md). It queries ClickHouse (`mabase_prod`) for all data.
The dashboard is a SOC (Security Operations Center) web application built with FastAPI (backend) and React (frontend) that provides real-time visualization, investigation, and analysis of bot detections generated by the [bot-detector](bot-detector.md). It queries ClickHouse (`ja4_processing`) for all data.
## Technology Stack
@ -17,7 +17,7 @@ The dashboard is a SOC (Security Operations Center) web application built with F
|----------|------|---------|-------------|
| `CLICKHOUSE_HOST` | string | `clickhouse` | ClickHouse hostname |
| `CLICKHOUSE_PORT` | int | `8123` | ClickHouse HTTP port |
| `CLICKHOUSE_DB` | string | `mabase_prod` | Database name |
| `CLICKHOUSE_DB` | string | `ja4_processing` | Database name |
| `CLICKHOUSE_USER` | string | `admin` | ClickHouse user |
| `CLICKHOUSE_PASSWORD` | string | `""` | ClickHouse password |
| `API_HOST` | string | `0.0.0.0` | API listen address |