From 521bf24728ea0450ee29783807d711558a3ea85a Mon Sep 17 00:00:00 2001
From: Stian Thaulow <43840258+stianthaulow@users.noreply.github.com>
Date: Thu, 6 Jun 2024 19:20:17 +0200
Subject: [PATCH] [du][dbt] fix indentation in dagster_dbt lession 5 (#22277)

## Summary & Motivation


![image](https://github.com/dagster-io/dagster/assets/43840258/a4507d0e-2aec-46e3-8764-ddea1022d85c)


## How I Tested These Changes
---
 ...eating-assets-that-depend-on-dbt-models.md | 78 +++++++++----------
 1 file changed, 39 insertions(+), 39 deletions(-)

diff --git a/docs/dagster-university/pages/dagster-dbt/lesson-5/3-creating-assets-that-depend-on-dbt-models.md b/docs/dagster-university/pages/dagster-dbt/lesson-5/3-creating-assets-that-depend-on-dbt-models.md
index 266da1ed0793a..185f3144a9233 100644
--- a/docs/dagster-university/pages/dagster-dbt/lesson-5/3-creating-assets-that-depend-on-dbt-models.md
+++ b/docs/dagster-university/pages/dagster-dbt/lesson-5/3-creating-assets-that-depend-on-dbt-models.md
@@ -111,49 +111,49 @@ Now we’re ready to create the asset!
         deps=["location_metrics"],
     )
     def airport_trips(database: DuckDBResource) -> MaterializeResult:
-    """
-        A chart of where trips from the airport go
-    """
-
-    query = """
-        select
-            zone,
-            destination_borough,
-            trips
-        from location_metrics
-        where from_airport
-    """
-
-    with database.get_connection() as conn:
-        airport_trips = conn.execute(query).fetch_df()
-
-    fig = px.bar(
-        airport_trips,
-        x="zone",
-        y="trips",
-        color="destination_borough",
-        barmode="relative",
-        labels={
-            "zone": "Zone",
-            "trips": "Number of Trips",
-            "destination_borough": "Destination Borough"
-        },
-    )
+        """
+            A chart of where trips from the airport go
+        """
+
+        query = """
+            select
+                zone,
+                destination_borough,
+                trips
+            from location_metrics
+            where from_airport
+        """
+
+        with database.get_connection() as conn:
+            airport_trips = conn.execute(query).fetch_df()
+
+        fig = px.bar(
+            airport_trips,
+            x="zone",
+            y="trips",
+            color="destination_borough",
+            barmode="relative",
+            labels={
+                "zone": "Zone",
+                "trips": "Number of Trips",
+                "destination_borough": "Destination Borough"
+            },
+        )
 
-    pio.write_image(fig, constants.AIRPORT_TRIPS_FILE_PATH)
+        pio.write_image(fig, constants.AIRPORT_TRIPS_FILE_PATH)
 
-    with open(constants.AIRPORT_TRIPS_FILE_PATH, 'rb') as file:
-        image_data = file.read()
+        with open(constants.AIRPORT_TRIPS_FILE_PATH, 'rb') as file:
+            image_data = file.read()
 
-    # Convert the image data to base64
-    base64_data = base64.b64encode(image_data).decode('utf-8')
-    md_content = f"![Image](data:image/jpeg;base64,{base64_data})"
+        # Convert the image data to base64
+        base64_data = base64.b64encode(image_data).decode('utf-8')
+        md_content = f"![Image](data:image/jpeg;base64,{base64_data})"
 
-    return MaterializeResult(
-        metadata={
-            "preview": MetadataValue.md(md_content)
-        }
-    )
+        return MaterializeResult(
+            metadata={
+                "preview": MetadataValue.md(md_content)
+            }
+        )
    ```
 
 5. Reload your code location to see the new `airport_trips` asset within the `metrics` group. Notice how the asset graph links the dependency between the `location_metrics` dbt asset and the new `airport_trips` chart asset: