From acf06a63898a224521da6e103ccb648e7715f8c9 Mon Sep 17 00:00:00 2001
From: AstrakhantsevaAA <astra92293@gmail.com>
Date: Fri, 10 May 2024 13:04:42 +0200
Subject: [PATCH] fix blog snippet

---
 .../blog/2024-05-07-on-orchestrators.md       | 54 +++++++++----------
 1 file changed, 27 insertions(+), 27 deletions(-)

diff --git a/docs/website/blog/2024-05-07-on-orchestrators.md b/docs/website/blog/2024-05-07-on-orchestrators.md
index dc1f6825e7..8424cece98 100644
--- a/docs/website/blog/2024-05-07-on-orchestrators.md
+++ b/docs/website/blog/2024-05-07-on-orchestrators.md
@@ -128,33 +128,33 @@ In the `resources` folder, the following two Dagster resources are defined as
 
     ```py
     class DltPipeline(ConfigurableResource):
-		# Initialize resource with pipeline details
-		pipeline_name: str
-		dataset_name: str
-		destination: str
-
-		def create_pipeline(self, resource_data, table_name):
-			"""
-			Creates and runs a dlt pipeline with specified data and table name.
-
-			Args:
-				resource_data: The data to be processed by the pipeline.
-				table_name: The name of the table where data will be loaded.
-
-			Returns:
-				The result of the pipeline execution.
-			"""
-
-			# Configure the dlt pipeline with your destination details
-			pipeline = dlt.pipeline(
-				pipeline_name=self.pipeline_name,
-				destination=self.destination,
-				dataset_name=self.dataset_name
-			)
-
-			# Run the pipeline with your parameters
-			load_info = pipeline.run(resource_data, table_name=table_name)
-			return load_info
+        # Initialize resource with pipeline details
+        pipeline_name: str
+        dataset_name: str
+        destination: str
+
+    def create_pipeline(self, resource_data, table_name):
+        """
+        Creates and runs a dlt pipeline with specified data and table name.
+
+        Args:
+          resource_data: The data to be processed by the pipeline.
+          table_name: The name of the table where data will be loaded.
+
+        Returns:
+          The result of the pipeline execution.
+        """
+
+        # Configure the dlt pipeline with your destination details
+        pipeline = dlt.pipeline(
+          pipeline_name=self.pipeline_name,
+          destination=self.destination,
+          dataset_name=self.dataset_name
+        )
+
+        # Run the pipeline with your parameters
+        load_info = pipeline.run(resource_data, table_name=table_name)
+        return load_info
     ```
 
 2. `LocalFileStorage`: Manages the local file storage, ensuring the storage directory exists and allowing data to be written to files within it. It will be later used in our Dagster assets to save images into the `charts` folder.