Files
taylanbakircioglu d7ca50b387 feat: Flowfish - eBPF-powered multi-cluster Kubernetes observability platform
Multi-cluster dependency mapping, real-time network monitoring,
impact analysis, and CI/CD integration capabilities.

Made-with: Cursor
2026-03-29 21:43:20 +03:00

44 lines
1.2 KiB
Python

"""Configuration for Graph Query Service
All credentials MUST come from environment variables (Kubernetes secrets).
No default passwords - service will fail to start if not configured.
"""
from pydantic_settings import BaseSettings
from pydantic import Field
class Settings(BaseSettings):
"""Application settings - credentials from env vars"""
# Service
service_name: str = "graph-query"
host: str = "0.0.0.0"
port: int = 8001
log_level: str = "INFO"
# gRPC
grpc_port: int = 5003
# Neo4j - credentials from env vars
neo4j_bolt_uri: str = "bolt://neo4j:7687"
neo4j_http_uri: str = "http://neo4j:7474"
neo4j_user: str = Field(default="neo4j", description="From NEO4J_USER env var")
neo4j_password: str = Field(default="", description="From NEO4J_PASSWORD env var (secret)")
neo4j_database: str = "neo4j"
# Query settings
query_timeout: int = 60 # seconds (increased for large multi-cluster analyses)
max_results: int = 5000 # Max edges per query type (optimized for browser performance)
# Monitoring
metrics_port: int = 9095
class Config:
env_file = ".env"
env_file_encoding = "utf-8"
settings = Settings()