9f3e0621e5
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>
30 lines
701 B
Python
30 lines
701 B
Python
"""
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Configuration du Dashboard Bot Detector
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"""
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from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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# ClickHouse
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CLICKHOUSE_HOST: str = "clickhouse"
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CLICKHOUSE_PORT: int = 8123
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CLICKHOUSE_DB: str = "ja4_processing" # default connection database
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CLICKHOUSE_DB_LOGS: str = "ja4_logs"
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CLICKHOUSE_DB_PROCESSING: str = "ja4_processing"
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CLICKHOUSE_USER: str = "admin"
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CLICKHOUSE_PASSWORD: str = ""
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# API
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API_HOST: str = "0.0.0.0"
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API_PORT: int = 8000
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# CORS
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CORS_ORIGINS: list = ["http://localhost:3000", "http://127.0.0.1:3000"]
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class Config:
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env_file = ".env"
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case_sensitive = True
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settings = Settings()
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