Jinso o fix/cors playground (#2995)

* Update playground.py

Replace REST demo with DummyJSON users (CORS-safe for Playground)

* update with actual use case

* feat: improve playground example with real API data

- Switch from dummyjson to JSONPlaceholder users API
- Add dev_mode=True for better development experience
- Fix function parameter (remove unused dlt parameter)
- Update table references from 'items' to 'users' consistently
- Fix test assertion to expect 10 users instead of 50
- Add write_disposition='replace' to prevent data duplication
- Improve data display with proper return statements

* feat(playground): make pipeline idempotent with refresh=True

* fix: remove problematic sqlite3 micropip install causing linting failure

* lint: ruff fix & format playground notebook

* Playground: updated assert

* feat: add improved Marimo with better optimization and formatting

* code edit : removed argument refresh to avoid users confusion

* feat: update playground to use customers pipeline

- Changed from users API (jsonplaceholder) to customers API (jaffle-shop)
- Updated resource name from 'users' to 'customers'
- Updated pipeline name from 'users_pipeline' to 'customers_pipeline'
- Updated all table references and test assertions
- Improved response handling with proper yield from pattern

* fix: resolve linting issues in playground notebook

- Fixed unused marimo import (auto-removed by ruff)
- Fixed unused variable 'con' by returning it from connect function
- Applied proper code formatting with ruff
- All tests pass locally

* Address review feedback: update yield and add limit parameter

- Change 'yield from response.json()' to 'yield response.json()' as requested by reviewer
- Add ?limit=100 parameter to API call for consistent results
- Update assertion to expect exactly 100 customers (== 100)
- Addresses feedback from AstrakhantsevaAA in PR #2995

docs/notebooks/playground/playground.py

@@ -7,7 +7,6 @@ app = marimo.App()
 @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":
@@ -28,24 +27,26 @@ 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
 
 
@@ -53,13 +54,13 @@ def view(pipeline):
 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