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https://github.com/taylanbakircioglu/flowfish.git
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taylanbakircioglu
d7ca50b387
Multi-cluster dependency mapping, real-time network monitoring, impact analysis, and CI/CD integration capabilities. Made-with: Cursor
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
"""Configuration for Timeseries Query Service
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All credentials MUST come from environment variables (Kubernetes secrets).
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No default passwords - service will fail to start if not configured.
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Version: 1.2.0 - Fixed deployment manifest tag replacement
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"""
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from pydantic_settings import BaseSettings
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from pydantic import Field
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class Settings(BaseSettings):
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"""Application settings - credentials from env vars"""
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# Service info
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version: str = "1.0.0"
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service_name: str = "timeseries-query"
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host: str = "0.0.0.0"
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port: int = 8002
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log_level: str = "INFO"
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# gRPC (optional - for inter-service communication)
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grpc_port: int = 5004
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# ClickHouse - credentials from env vars
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clickhouse_host: str = "clickhouse"
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clickhouse_port: int = 9000
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clickhouse_user: str = Field(default="default", description="From CLICKHOUSE_USER env var")
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clickhouse_password: str = Field(default="", description="From CLICKHOUSE_PASSWORD env var (secret)")
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clickhouse_database: str = "flowfish"
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# Query settings
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query_timeout: int = 60 # seconds (increased for large analyses)
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max_results: int = 100000 # Increased for large multi-cluster analyses
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default_limit: int = 1000 # Default pagination limit
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# Connection pool
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pool_size: int = 10
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# Caching (optional - for future Redis integration)
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cache_enabled: bool = False
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cache_ttl_seconds: int = 60
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# Monitoring
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metrics_port: int = 9096
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class Config:
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env_file = ".env"
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env_file_encoding = "utf-8"
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settings = Settings()
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