恢复GE版本为0.18，生成SNIPPET后自动生成rag_text流程

app/models.py

@@ -232,6 +232,15 @@ class TableProfilingJobRequest(BaseModel):
         None,
         description="Miscellaneous execution flags applied across pipeline steps.",
     )
+    workspace_id: Optional[int] = Field(
+        None,
+        ge=0,
+        description="Optional workspace identifier forwarded to snippet_alias callback for RAG ingestion.",
+    )
+    rag_item_type: Optional[str] = Field(
+        "SNIPPET",
+        description="Optional RAG item type forwarded to snippet_alias callback.",
+    )
 
 
 class TableProfilingJobAck(BaseModel):
@@ -247,7 +256,7 @@ class TableSnippetUpsertRequest(BaseModel):
         ge=0,
         description="Version timestamp aligned with the pipeline (yyyyMMddHHmmss as integer).",
     )
-    rag_workspace_id: Optional[int] = Field(
+    workspace_id: Optional[int] = Field(
         None,
         ge=0,
         description="Optional workspace identifier for RAG ingestion; when provided and action_type=snippet_alias "
@@ -329,6 +338,24 @@ class TableSnippetUpsertRequest(BaseModel):
         ge=0,
         description="Optional execution duration in milliseconds.",
     )
+
+
+class TableSnippetRagIngestRequest(BaseModel):
+    table_id: int = Field(..., ge=1, description="Unique identifier for the table.")
+    version_ts: int = Field(
+        ...,
+        ge=0,
+        description="Version timestamp aligned with the pipeline (yyyyMMddHHmmss as integer).",
+    )
+    workspace_id: int = Field(..., ge=0, description="Workspace id used when pushing snippets to RAG.")
+    rag_item_type: Optional[str] = Field(
+        "SNIPPET",
+        description="Optional RAG item type used when pushing snippets to RAG. Defaults to 'SNIPPET'.",
+    )
+
+
+class TableSnippetRagIngestResponse(BaseModel):
+    rag_item_ids: List[int] = Field(..., description="List of ingested rag_item_ids.")
     result_checksum: Optional[str] = Field(
         None,
         description="Optional checksum for the result payload (e.g., MD5).",