4ae893a025
3.6 UI: убрать stat-minibar и heatmap с дашборда 3.2 AI disclaimer под каждым LLM-вердиктом 3.4 LLM_MAX_CONCURRENT_ANALYSES + Semaphore в llm.py 3.1 Scan.initiator + source_ip, webhook захватывает, UI показывает
66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
"""Configuration via environment variables."""
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import os
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from dataclasses import dataclass
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from guarddog_nexus.constants import (
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DEFAULT_MAX_CONCURRENT_SCANS,
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GUARDDOG_BINARY_FALLBACK,
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HTTP_TIMEOUT_API,
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HTTP_TIMEOUT_DOWNLOAD,
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LLM_DEFAULT_API_BASE,
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LLM_DEFAULT_MODEL,
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LLM_DEFAULT_TIMEOUT,
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)
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@dataclass
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class Config:
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# Nexus connection
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nexus_url: str = os.getenv("NEXUS_URL", "http://localhost:8081")
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nexus_username: str = os.getenv("NEXUS_USERNAME", "admin")
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nexus_password: str = os.getenv("NEXUS_PASSWORD", "admin123")
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nexus_download_timeout: int = int(
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os.getenv("NEXUS_DOWNLOAD_TIMEOUT_SECONDS", str(HTTP_TIMEOUT_DOWNLOAD))
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)
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nexus_api_timeout: int = int(
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os.getenv("NEXUS_API_TIMEOUT_SECONDS", str(HTTP_TIMEOUT_API))
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)
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# Database
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database_path: str = os.getenv("DATABASE_PATH", "data/guarddog.db")
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# Server
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host: str = os.getenv("HOST", "0.0.0.0")
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port: int = int(os.getenv("PORT", "8080"))
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# Logging
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log_level: str = os.getenv("LOG_LEVEL", "INFO")
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log_syslog_host: str = os.getenv("LOG_SYSLOG_HOST", "")
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log_syslog_port: int = int(os.getenv("LOG_SYSLOG_PORT", "514"))
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log_syslog_facility: str = os.getenv("LOG_SYSLOG_FACILITY", "")
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# Webhooks
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webhook_secret: str = os.getenv("WEBHOOK_SECRET", "")
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# Scanner
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scan_timeout_seconds: int = int(os.getenv("SCAN_TIMEOUT_SECONDS", "300"))
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temp_dir: str = os.getenv("TEMP_DIR", "/tmp/guarddog-nexus")
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guarddog_binary: str = os.getenv("GUARDDOG_BINARY", GUARDDOG_BINARY_FALLBACK)
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max_concurrent_scans: int = int(
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os.getenv("MAX_CONCURRENT_SCANS", str(DEFAULT_MAX_CONCURRENT_SCANS))
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)
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# LLM analysis
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llm_enabled: bool = os.getenv("LLM_ENABLED", "").lower() in ("1", "true", "yes")
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llm_api_base: str = os.getenv("LLM_API_BASE", LLM_DEFAULT_API_BASE)
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llm_api_key: str = os.getenv("LLM_API_KEY", "")
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llm_model: str = os.getenv("LLM_MODEL", LLM_DEFAULT_MODEL)
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llm_timeout: int = int(os.getenv("LLM_TIMEOUT_SECONDS", str(LLM_DEFAULT_TIMEOUT)))
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llm_max_concurrent: int = int(
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os.getenv("LLM_MAX_CONCURRENT_ANALYSES", "2")
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)
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config = Config()
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