اضافه شدن قابلیت حافظه S3 به پروژه

.env.example

@@ -8,9 +8,26 @@ PARSE_TIMEOUT_SECONDS=60
 LINK_TTL_SECONDS=604800
 MAX_PENDING_JOBS=100
 # Production: APP_ENV=production and PUBLIC_BASE_URL=https://your-domain.example
-# Optional private S3-compatible storage, same settings for API and workers:
-# S3_BUCKET=private-schematics
-# S3_ENDPOINT_URL=https://s3.example.com
+# Storage: auto uses S3 when S3_BUCKET is set; otherwise local. Use s3 to require S3.
+STORAGE_BACKEND=auto
+S3_BUCKET=
+# AWS S3: leave endpoint blank. S3-compatible provider: its service endpoint, not a public file URL.
+S3_ENDPOINT_URL=
+S3_REGION=us-east-1
+# Optional namespace inside the bucket, e.g. altium/production (empty preserves old S3 keys).
+S3_PREFIX=
+# auto, path (commonly MinIO/S3-compatible), or virtual
+S3_ADDRESSING_STYLE=auto
+S3_CONNECT_TIMEOUT=5
+S3_READ_TIMEOUT=60
+S3_MAX_ATTEMPTS=3
+# Credentials are server-only. Omit for IAM/workload credentials.
 # AWS_ACCESS_KEY_ID=
 # AWS_SECRET_ACCESS_KEY=
-# AWS_DEFAULT_REGION=us-east-1
+# AWS_SESSION_TOKEN=
+# Optional custom CA bundle path, available in both API/worker containers:
+# AWS_CA_BUNDLE=/path/to/provider-ca.pem
+# Optional encryption: empty (provider default), AES256 or aws:kms.
+S3_SERVER_SIDE_ENCRYPTION=
+S3_KMS_KEY_ID=
+# API and workers must use exactly the same bucket/prefix/endpoint/region.