mirror of
https://github.com/furyhawk/lta_datamall_api.git
synced 2026-07-21 02:06:50 +00:00
furyhawk
f10ab4e7b3
- Add CacheClient for managing Valkey interactions - Integrate caching into bus API routes for improved performance - Update .env.example and config.py for Valkey settings - Modify Makefile and README for Valkey service management - Add Valkey service to docker-compose - Include Valkey dependency in pyproject.toml and uv.lock
31 lines
903 B
Python
31 lines
903 B
Python
from functools import lru_cache
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from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
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app_name: str = "LTA DataMall Bus Backend"
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app_env: str = "development"
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app_debug: bool = False
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app_version: str = "0.1.0"
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datamall_base_url: str = "https://datamall2.mytransport.sg/ltaodataservice"
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datamall_api_key: str = Field(..., description="LTA DataMall AccountKey")
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request_timeout_seconds: float = 10.0
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max_connections: int = 200
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max_keepalive_connections: int = 100
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valkey_enabled: bool = True
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valkey_url: str = "redis://valkey:6379/0"
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valkey_connect_timeout_seconds: float = 1.0
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valkey_default_ttl_seconds: int = 120
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@lru_cache
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def get_settings() -> Settings:
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return Settings()
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