.env.example

# ============================================================================
# ModelServe — Environment Variables
# ============================================================================
# TODO: Define all environment variables your system needs.
#
# Think about what each service requires:
#   - MLflow: tracking URI, backend store URI, artifact root, AWS credentials
#   - PostgreSQL: user, password, database name
#   - Redis: host, port
#   - FastAPI: host, port, model name, model stage
#   - Feast: repo path, online store connection
#   - Grafana: admin password, signup settings
#
# For each variable, provide:
#   - A descriptive comment explaining its purpose
#   - A placeholder value (not a real secret)
#   - Which service consumes it
#
# NEVER commit the actual .env file to git.
# ============================================================================

# ── Postgres ───────────────────────────────────────────────
POSTGRES_USER=mlflow
POSTGRES_PASSWORD=mlflow
POSTGRES_DB=mlflow
POSTGRES_HOST=postgres
POSTGRES_PORT=5432

# ── MLflow ─────────────────────────────────────────────────
MLFLOW_TRACKING_URI=http://localhost:5000
MLFLOW_ARTIFACT_ROOT=/mlflow/artifacts

# ── FastAPI ────────────────────────────────────────────────
MODEL_NAME=FraudDetector
MODEL_STAGE=Production
APP_HOST=0.0.0.0
APP_PORT=8000

# ── Redis / Feast ───────────────────────────────────────────
REDIS_HOST=redis
REDIS_PORT=6379
FEAST_REPO_PATH=./feast_repo

# ── Grafana ────────────────────────────────────────────────
GF_SECURITY_ADMIN_PASSWORD=admin
GF_USERS_ALLOW_SIGN_UP=false

# ── AWS (Poridhi sandbox — expires end of session) ─────────
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=
AWS_DEFAULT_REGION=ap-southeast-1

# ── S3 (set after pulumi up in Session 5) ──────────────────
S3_BUCKET_NAME=FraudDetector

# ── Training ───────────────────────────────────────────────
DATA_PATH=training/fraudTrain.csv