Frontend: - DetectionsList: Simplify columns, improve truncation and display for IPs, hosts, bot info - IncidentsView: Replace metric cards with compact stat cards (unique IPs, known bots, ML anomalies, threat levels) - InvestigationView: Add section navigation anchors, reorganize layout with proper IDs - ThreatIntelView: Add navigation links to investigation pages, add comment column, improve table layout Backend: - Various route and model adjustments - Configuration updates Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
28 lines
573 B
Python
28 lines
573 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 = "mabase_prod"
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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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