add fastapi, langchain, fix md lint

01-hello/README.md

@@ -5,8 +5,10 @@ example is meant for reference only right now; you should be prepared to update
 your code between now and official release time as APIs may change.
 
 ## How to Run
+
 First ensure that your Wrangler version is up to date (3.30.0 and above).
-```
+
+```bash
 $ wrangler -v
  ⛅️ wrangler 3.30.0
 ```

02-binding/README.md

@@ -5,8 +5,10 @@ example is meant for reference only right now; you should be prepared to update
 your code between now and official release time as APIs may change.
 
 ## How to Run
+
 First ensure that your Wrangler version is up to date (3.30.0 and above).
-```
+
+```bash
 $ wrangler -v
  ⛅️ wrangler 3.30.0
 ```
@@ -16,4 +18,4 @@ Now, you must set up a [KV namespace](https://developers.cloudflare.com/kv/refer
 Now, if you run `wrangler dev` within this directory, it should use the config
 in `wrangler.toml` to run the example.
 
-You can also run `wrangler deploy` to deploy the example.
+You can also run `wrangler deploy` to deploy the example.

03-fastapi/README.md

@@ -0,0 +1,19 @@
+# FastAPI Example
+
+Warning: Python support in Workers is experimental and things will break. This
+demo is meant for reference only right now; you should be prepared to update
+your code between now and official release time as APIs may change.
+
+## How to Run
+
+First ensure that your Wrangler version is up to date (3.30.0 and above).
+
+```bash
+$ 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.
+
+You can also run `wrangler deploy` to deploy the demo.

03-fastapi/requirements.txt

@@ -0,0 +1 @@
+fastapi

03-fastapi/src/worker.py

@@ -0,0 +1,39 @@
+from fastapi import FastAPI, Request
+from pydantic import BaseModel
+
+async def on_fetch(request, env):
+    import asgi
+
+    return await asgi.fetch(app, request, env)
+
+app = FastAPI()
+
+@app.get("/")
+async def root():
+    return {"message": "Hello, World!"}
+
+@app.get("/env")
+async def root(req: Request):
+    env = req.scope["env"]
+    return {"message": "Here is an example of getting an environment variable: " + env.MESSAGE}
+
+class Item(BaseModel):
+    name: str
+    description: str | None = None
+    price: float
+    tax: float | None = None
+
+@app.post("/items/")
+async def create_item(item: Item):
+    return item
+
+@app.put("/items/{item_id}")
+async def create_item(item_id: int, item: Item, q: str | None = None):
+    result = {"item_id": item_id, **item.dict()}
+    if q:
+        result.update({"q": q})
+    return result
+
+@app.get("/items/{item_id}")
+async def read_item(item_id: int):
+    return {"item_id": item_id}

03-fastapi/wrangler.toml

@@ -0,0 +1,7 @@
+name = "hello-fastapi"
+main = "src/worker.py"
+compatibility_flags = ["python_workers"]
+compatibility_date = "2023-12-18"
+
+[vars]
+MESSAGE = "This is an environment variable"

04-langchain/.dev.vars

@@ -0,0 +1 @@
+API_KEY=abc123

04-langchain/README.md

@@ -0,0 +1,27 @@
+# Langchain Example
+
+Warning: Python support in Workers is experimental and things will break. This
+demo is meant for reference only right now; you should be prepared to update
+your code between now and official release time as APIs may change.
+
+## How to Run
+
+First ensure that your Wrangler version is up to date (3.30.0 and above).
+
+```bash
+$ 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.
+
+This demo uses a [Workers secret](https://developers.cloudflare.com/workers/configuration/secrets/)
+to configure the API key. Before deployment you must set this key using the
+Wrangler CLI:
+
+```bash
+$ wrangler secret put API_KEY
+```
+
+You can now run `wrangler deploy` to deploy the demo.

04-langchain/requirements.txt

@@ -0,0 +1,2 @@
+langchain_core
+langchain_openai

04-langchain/src/worker.py

@@ -0,0 +1,11 @@
+from js import Response
+from langchain_core.prompts import PromptTemplate
+from langchain_openai import OpenAI
+
+async def on_fetch(request, env):
+  prompt = PromptTemplate.from_template("Complete the following sentence: I am a {profession} and ")
+  llm = OpenAI(api_key=env.API_KEY)
+  chain = prompt | llm
+
+  res = await chain.ainvoke({"profession": "electrician"})
+  return Response.new(res.split(".")[0].strip())

04-langchain/wrangler.toml

@@ -0,0 +1,4 @@
+name = "langchain-python-worker"
+main = "src/worker.py"
+compatibility_flags = ["python_workers"]
+compatibility_date = "2024-01-29"