fix(dagster): fix example summary error

dagster/examples/csv_to_postgres/csv_to_postgres/assets.py

@@ -104,25 +104,46 @@ def movielens_summary(
 ) -> MaterializeResult:
     """Generate summary of all loaded MovieLens data."""
 
-    # Get pipeline to access dlt info
+    context.log.info("Generating summary of MovieLens dataset...")
-    pipeline = dlt.create_pipeline()
 
-    # Get schema info
+    # Try to get schema from one of the existing pipelines
-    schema = pipeline.default_schema
+    pipeline_names = ["movies", "ratings", "tags"]
-    tables = list(schema.tables.keys())
+    schema_info = {}
+    tables_found = []
 
-    context.log.info(f"MovieLens dataset loaded with tables: {tables}")
+    for table_name in pipeline_names:
+        try:
+            # Create pipeline with the same name used in previous assets
+            pipeline = dlt.create_pipeline(table_name=table_name)
 
-    # Calculate basic metrics
+            # Try to get schema if it exists
-    table_count = len([t for t in tables if t in ["movies", "ratings", "tags"]])
+            if pipeline.default_schema_name in pipeline.schemas:
+                schema = pipeline.schemas[pipeline.default_schema_name]
+                context.log.info(
+                    f"Found schema for pipeline '{pipeline.pipeline_name}'"
+                )
+                schema_info[table_name] = {
+                    "pipeline": pipeline.pipeline_name,
+                    "schema_version": schema.version,
+                }
+                tables_found.extend(
+                    [t for t in schema.tables.keys() if t == table_name]
+                )
+        except Exception as e:
+            context.log.debug(f"Could not get schema for {table_name}: {e}")
+
+    context.log.info(
+        f"Summary: Found {len(tables_found)} tables from {len(schema_info)} pipelines"
+    )
 
     return MaterializeResult(
         metadata={
-            "pipeline_name": MetadataValue.text(dlt.pipeline_name),
+            "base_pipeline_name": MetadataValue.text(dlt.pipeline_name),
             "dataset_name": MetadataValue.text(dlt.dataset_name),
             "destination": MetadataValue.text(dlt.destination),
-            "schema_version": MetadataValue.int(schema.version if schema else 0),
+            "pipelines_checked": MetadataValue.json(list(schema_info.keys())),
-            "tables": MetadataValue.json(tables),
+            "tables_found": MetadataValue.json(tables_found),
-            "movielens_tables": MetadataValue.int(table_count),
+            "movielens_tables_count": MetadataValue.int(len(tables_found)),
+            "schema_info": MetadataValue.json(schema_info),
         }
     )

dagster/examples/csv_to_postgres/csv_to_postgres/resources.py

@@ -28,17 +28,18 @@ class DltResource(ConfigurableResource):
         # Enable detailed logging for dlt
         os.environ["DLT_LOG_LEVEL"] = "INFO"
 
-    def create_pipeline(self):
+    def create_pipeline(self, table_name: str):
-        """Create dlt pipeline."""
+        """Create dlt pipeline with optional table-specific name."""
-        import uuid
-
         self.setup_environment()
 
-        # Use a unique pipeline name to avoid conflicts
+        # Use table-specific pipeline name if provided, otherwise use base name
-        unique_pipeline_name = f"{self.pipeline_name}_{uuid.uuid4().hex[:8]}"
+        if table_name:
+            pipeline_name = f"{self.pipeline_name}_{table_name}"
+        else:
+            pipeline_name = self.pipeline_name
 
         return dlt.pipeline(
-            pipeline_name=unique_pipeline_name,
+            pipeline_name=pipeline_name,
             destination=self.destination,
             dataset_name=self.dataset_name,
         )
@@ -70,9 +71,12 @@ class DltResource(ConfigurableResource):
         """Run dlt pipeline with given resource data."""
         logger = get_dagster_logger()
 
-        pipeline = self.create_pipeline()
+        # Create pipeline with table-specific name
+        pipeline = self.create_pipeline(table_name=table_name)
 
-        logger.info(f"Running pipeline for table {table_name}")
+        logger.info(
+            f"Running pipeline '{pipeline.pipeline_name}' for table {table_name}"
+        )
 
         # Configure pipeline for progress tracking
         pipeline.config.progress = "log"  # Enables progress logging