feat(appliance): initial release of MERICA standalone appliance v1.0.0

backend/app/schemas/sitomat.py

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+from pydantic import BaseModel, Field
+from typing import Dict, Any, Optional, List
+
+class BundleItem(BaseModel):
+    name: str
+    tracking_ref: str
+    repo_url: str
+    subdir: str
+    type: str = "git"
+
+class BundleListResponse(BaseModel):
+    bundles: List[BundleItem]
+
+class SitomatProvisionRequest(BaseModel):
+    dataset_id: str
+    bundle_name: Optional[str] = "dlh-core-ingestion"
+    source_type: str = Field(..., description="database | gws | api")
+    connection_id: str
+    source_config: Dict[str, Any] = Field(default_factory=dict)
+    bronze_target: Optional[Dict[str, Any]] = Field(default_factory=lambda: {
+        "s3_bucket": "dlh-landing",
+        "s3_prefix": "bronze/raw/"
+    })
+    dbt_models: Optional[Dict[str, str]] = Field(default_factory=dict)
+    schedule: Optional[str] = "0 2 * * *"
+
+class SitomatProvisionResponse(BaseModel):
+    status: str = "provisioned"
+    dataset_id: str
+    bundle_name: str
+    bronze_dag_id: str
+    transform_dag_id: str
+    initial_version: str
+    git_commit_hash: Optional[str] = None
+    yaml_config_path: Optional[str] = None
+
+class SitomatTriggerRequest(BaseModel):
+    correlation_id: str
+    dataset_id: str
+    target_dag_version: Optional[str] = "latest"
+    conf: Optional[Dict[str, Any]] = Field(default_factory=dict)
+
+class SitomatTriggerResponse(BaseModel):
+    status: str = "triggered"
+    correlation_id: str
+    dag_id: str
+    dag_run_id: str
+    pinned_version: str
+
+class SitomatLedgerCallback(BaseModel):
+    correlation_id: str
+    dataset_id: str
+    dag_id: str
+    dag_run_id: str
+    status: str
+    bronze_ref: Optional[str] = None
+    record_count: Optional[int] = 0
+    byte_size: Optional[int] = 0