Prevent environment variable drift with Pydantic schema validation, pre-commit hooks, and dotenvx encryption
Project description
envdrift
Prevent environment variable drift between dev, staging, and production.
The Problem
- A missing
DATABASE_URLin production causes a 3am outage - Staging has
NEW_FEATURE_FLAG=truebut production doesn't - "It works on my machine!" becomes your team's motto
The Solution
# Validate .env against Pydantic schema
envdrift validate .env --schema config.settings:Settings
# Compare dev vs prod
envdrift diff .env.development .env.production
# Check encryption status
envdrift encrypt .env.production --check
Installation
pip install envdrift
Quick Start
Define your schema:
from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
model_config = SettingsConfigDict(extra="forbid")
DATABASE_URL: str = Field(json_schema_extra={"sensitive": True})
API_KEY: str = Field(json_schema_extra={"sensitive": True})
DEBUG: bool = False
Validate:
envdrift validate .env --schema config.settings:Settings
Features
| Feature | envdrift |
|---|---|
| Schema validation | Pydantic-based |
| Cross-env diff | Yes |
| Pre-commit hooks | Yes |
| Encryption (dotenvx, SOPS) | Yes |
| Vault integration | Azure, AWS, HashiCorp, GCP |
| CI/CD mode | Yes |
Documentation
Full documentation: jainal09.github.io/envdrift
Development
git clone https://github.com/jainal09/envdrift.git
cd envdrift
make dev
make test
make docs-serve
License
MIT
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