feat: split ClickHouse into dual configurable databases (ja4_logs / ja4_processing)
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>
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@ -232,25 +232,25 @@ http_logs_raw ← inserts du service (raw_json String)
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```sql
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-- data_writer : INSERT sur http_logs_raw uniquement (compte du service)
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GRANT INSERT ON mabase_prod.http_logs_raw TO data_writer;
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GRANT SELECT ON mabase_prod.http_logs_raw TO data_writer;
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GRANT INSERT ON ja4_logs.http_logs_raw TO data_writer;
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GRANT SELECT ON ja4_logs.http_logs_raw TO data_writer;
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-- analyst : lecture sur la table parsée
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GRANT SELECT ON mabase_prod.http_logs TO analyst;
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GRANT SELECT ON ja4_logs.http_logs TO analyst;
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```
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### Vérification de l'ingestion
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```sql
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-- Données brutes reçues
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SELECT count(*), min(ingest_time), max(ingest_time) FROM mabase_prod.http_logs_raw;
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SELECT count(*), min(ingest_time), max(ingest_time) FROM ja4_logs.http_logs_raw;
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-- Données parsées par la vue matérialisée
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SELECT count(*), min(time), max(time) FROM mabase_prod.http_logs;
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SELECT count(*), min(time), max(time) FROM ja4_logs.http_logs;
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-- Derniers logs corrélés
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SELECT time, src_ip, dst_ip, method, host, path, ja4
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FROM mabase_prod.http_logs
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FROM ja4_logs.http_logs
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WHERE correlated = 1
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ORDER BY time DESC LIMIT 10;
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```
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@ -397,7 +397,7 @@ python3 scripts/test-correlation-advanced.py --all
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### ClickHouse : erreurs d'insertion
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- **`No such column`** : vérifier que la table `http_logs_raw` utilise la colonne unique `raw_json` (pas de colonnes séparées)
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- **`ACCESS_DENIED`** : `GRANT INSERT ON mabase_prod.http_logs_raw TO data_writer;`
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- **`ACCESS_DENIED`** : `GRANT INSERT ON ja4_logs.http_logs_raw TO data_writer;`
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- Les erreurs de flush sont loggées en ERROR dans les logs du service
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### Vue matérialisée vide
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@ -405,9 +405,9 @@ python3 scripts/test-correlation-advanced.py --all
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Si `http_logs_raw` a des données mais `http_logs` est vide :
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```sql
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-- Vérifier la vue
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SHOW CREATE TABLE mabase_prod.mv_http_logs;
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SHOW CREATE TABLE ja4_logs.mv_http_logs;
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-- Vérifier les permissions (la MV s'exécute sous le compte du service)
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GRANT SELECT ON mabase_prod.http_logs_raw TO data_writer;
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GRANT SELECT ON ja4_logs.http_logs_raw TO data_writer;
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```
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### Sockets Unix : permission denied
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