Jinso o fix/cors playground

docs/notebooks/playground/playground.py

@@ -7,7 +7,6 @@
 @app.cell(hide_code=True)
 async def initialize():
     import sys
-    import marimo as mo
 
     # NOTE: this installs the dependencies for the notebook if run on pyodide
     if sys.platform == "emscripten":
@@ -28,38 +27,40 @@ def run():
     import dlt
     import requests
 
-    @dlt.resource(table_name="users")
-    def users():
-        yield requests.get("https://jsonplaceholder.typicode.com/users").json()
+    @dlt.resource(name="customers")
+    def fetch_customers():
+        response = requests.get("https://jaffle-shop.dlthub.com/api/v1/customers?limit=100")
+        yield response.json()
 
     pipeline = dlt.pipeline(
-        pipeline_name="users_pipeline",
+        pipeline_name="customers_pipeline",
         destination="duckdb",
         dataset_name="raw_data",
         dev_mode=True,
     )
-    print(pipeline.run(users()))
+    load_info = pipeline.run(fetch_customers())
+    print(load_info)
     return (pipeline,)
 
 
 @app.cell
 def view(pipeline):
-    # NOTE: This line displays the data of the users table in a marimo table
-    pipeline.dataset().users.df()
+    # NOTE: This line displays the data of the customers table in a marimo table
+    pipeline.dataset().customers.df()
     return
 
 
 @app.cell
 def connect(pipeline):
     # NOTE: This line allows your data to be explored in the marimo datasources which is the third item from the top in the left sidebar
     con = pipeline.dataset().ibis()
-    return
+    return (con,)
 
 
 @app.cell(hide_code=True)
 def tests(pipeline):
     # NOTE: this cell is only needed for testing this notebook on ci
-    assert pipeline.dataset().users.df().shape[0] == 10
+    assert pipeline.dataset().customers.df().shape[0] == 100
     return