Use Python SDK in all examples.

01-hello/src/entry.py

@@ -1,4 +1,4 @@
-from js import Response
+from workers import Response
 
 async def on_fetch(request, env):
-    return Response.new("Hello world!")
+    return Response("Hello world!")

02-binding/src/entry.py

@@ -1,6 +1,6 @@
-from js import Response
+from workers import Response
 
 async def on_fetch(request, env):
     await env.FOO.put("bar", "baz")
     bar = await env.FOO.get("bar")
-    return Response.new(bar) # returns "baz"
+    return Response(bar) # returns "baz"

04-langchain/src/worker.py

@@ -1,4 +1,4 @@
-from js import Response
+from workers import Response
 from langchain_core.prompts import PromptTemplate
 from langchain_openai import OpenAI
 
@@ -8,4 +8,4 @@ async def on_fetch(request, env):
   chain = prompt | llm
 
   res = await chain.ainvoke({"profession": "electrician"})
-  return Response.new(res.split(".")[0].strip())
+  return Response(res.split(".")[0].strip())

05-query-d1/README.md

@@ -5,18 +5,26 @@ Warning: Python support in Workers is experimental and things will break. This d
 Currently, Python Workers using packages cannot be deployed and will only work in local development for the time being.
 
 ### How to Run
+
 Download this quotes file from [Hugging Face in SQL form](https://huggingface.co/datasets/lizziepika/quotes_sql/blob/main/data.sql)
 
 Create a new D1 database by running on the command line `npx wrangler d1 create {D1-NAME}`. Copy and paste the output into your `wrangler.toml` to bind your D1 database to your Python Worker.
 
+Ingest the SQL file you've downloaded by running:
+
+```
+npx wrangler d1 execute {D1-NAME} --local --file=./data.sql
+```
+
 Ensure that your Wrangler version is up to date (3.30.0 and above).
 
 ```
 $ wrangler -v
  ⛅️ wrangler 3.30.0
- ```
-Now, if you run `wrangler dev` within this directory, it should use the config in`wrangler.toml` to run the demo.
+```
+
+Now, if you run `wrangler dev` within this directory, it should use the config in `wrangler.toml` to run the demo.
 
-You can also run `wrangler deploy` to deploy the demo.
+You can also run `wrangler deploy` to deploy the demo (though you'll need to repeat the ingestion step above for the remote DB).
 
-Finally, get a random quote from the database by visiting your deployed worker in the browser!<img width="1421" alt="deployed app" src="https://github.com/user-attachments/assets/131a2836-2305-4b73-a54a-50dac039108f">
+Finally, get a random quote from the database by visiting your deployed worker in the browser!<img width="1421" alt="deployed app" src="https://github.com/user-attachments/assets/131a2836-2305-4b73-a54a-50dac039108f">

05-query-d1/src/entry.py

@@ -1,4 +1,4 @@
-from js import Response
+from workers import Response
 
 async def on_fetch(request, env):
     query = """
@@ -11,4 +11,4 @@ async def on_fetch(request, env):
     data = results.results[0] 
 
     # Return a JSON response
-    return Response.json(data)
+    return Response.json(data)

05-query-d1/wrangler.toml

@@ -1,10 +1,13 @@
 #:schema node_modules/wrangler/config-schema.json
 compatibility_date = "2024-08-06"
+main = "src/entry.py"
+compatibility_flags = ["python_workers"]
+
 
 [ai]
 binding = "AI"
 
 [[d1_databases]]
 binding = "DB" # i.e. available in your Worker on env.DB
 database_name = "quotes" # REPLACE WITH YOUR DB NAME
-database_id = "408cddb7-e3f7-40d7-a4f7-33136a7fd3fa" # REPLACE WITH YOUR DB ID
+database_id = "408cddb7-e3f7-40d7-a4f7-33136a7fd3fa" # REPLACE WITH YOUR DB ID