update examples

Author: shroominic

examples/big_upload.py renamed to examples/big_upload_from_url.py

@@ -1,8 +1,8 @@
 from codeboxapi import CodeBox
 
 
-def url_upload(codebox, url: str) -> None:
-    codebox.run(
+def url_upload(codebox: CodeBox, url: str) -> None:
+    codebox.exec(
         """
 import requests
 
@@ -16,7 +16,7 @@ def download_file_from_url(url: str) -> None:
                 file.write(chunk)
         """
     )
-    print(codebox.run(f"download_file_from_url('{url}')"))
+    print(codebox.exec(f"download_file_from_url('{url}')"))
 
 
 codebox = CodeBox()
@@ -33,6 +33,6 @@ def download_file_from_url(url: str) -> None:
 )
 print(codebox.list_files())
 
-codebox.run("import os")
-print(codebox.run("print(os.listdir())"))
-print(codebox.run("print([(f, os.path.getsize(f)) for f in os.listdir('.')])"))
+codebox.exec("import os")
+print(codebox.exec("print(os.listdir())"))
+print(codebox.exec("print([(f, os.path.getsize(f)) for f in os.listdir('.')])"))

examples/file_io.py renamed to examples/file_conversion.py

@@ -14,20 +14,20 @@
 codebox.install("openpyxl")
 
 # convert dataset csv to excel
-output = codebox.run(
+output = codebox.exec(
     "import pandas as pd\n\n"
     "df = pd.read_csv('iris.csv', header=None)\n\n"
     "df.to_excel('iris.xlsx', index=False)\n"
     "'iris.xlsx'"
 )
 
 # check output type
-if output.type == "image/png":
+if output.images:
     print("This should not happen")
-elif output.type == "error":
-    print("Error: ", output.content)
+elif output.errors:
+    print("Error: ", output.errors)
 else:
     # all files inside the codebox
     for file in codebox.list_files():
         print("File: ", file.path)
-        print("Content: ", file.get_content())
+        print("File Size: ", file.get_size())

examples/parallel.py

@@ -1,50 +1,34 @@
-import os
+import base64
+from io import BytesIO
 from pathlib import Path
 
 import httpx
 from codeboxapi import CodeBox
+from PIL import Image
 
 codebox = CodeBox(api_key="local")
 
 # download the iris dataset
-csv_bytes = httpx.get(
+iris_csv_bytes = httpx.get(
     "https://archive.ics.uci.edu/" "ml/machine-learning-databases/iris/iris.data"
 ).content
 
 # upload the dataset to the codebox
-codebox.upload("iris.csv", csv_bytes)
+codebox.upload("iris.csv", iris_csv_bytes)
 
 # dataset analysis code
 file_path = Path("examples/assets/dataset_code.txt")
 
 # run the code
-output = codebox.run(code=file_path)
-print(output)
-print(output.type)
-
-if output.type == "image" and os.environ.get("CODEBOX_TEST") == "False":
-    try:
-        from PIL import Image  # type: ignore
-    except ImportError:
-        print(
-            "Please install it with "
-            '`pip install "codeboxapi[image_support]"`'
-            " to display images."
-        )
-        exit(1)
-
-    # Convert the image content ( bytes) into an image
-    import base64
-    from io import BytesIO
-
-    img_bytes = base64.b64decode(output.content)
+output = codebox.exec(file_path)
+
+if output.images:
+    img_bytes = base64.b64decode(output.images[0])
     img_buffer = BytesIO(img_bytes)
 
     # Display the image
     img = Image.open(img_buffer)
     img.show()
 
-elif output.type == "error":
-    # error output
-    print("Error:")
-    print(output.content)
+elif output.errors:
+    print("Error:", output.errors)