query d1 (#14)

* query d1 first commit

* changes for merge from comments

* deleted files

05-query-d1/README.md

@@ -0,0 +1,22 @@
+# Query a D1 Database with Cloudflare Workers 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.
+
+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.
+
+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.
+
+You can also run `wrangler deploy` to deploy the demo.
+
+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

@@ -0,0 +1,14 @@
+from js import Response
+
+async def on_fetch(request, env):
+    query = """
+        SELECT quote, author
+        FROM qtable
+        ORDER BY RANDOM()
+        LIMIT 1;
+        """
+    results = await env.DB.prepare(query).all()
+    data = results.results[0] 
+
+    # Return a JSON response
+    return Response.json(data)

05-query-d1/wrangler.toml

@@ -0,0 +1,10 @@
+#:schema node_modules/wrangler/config-schema.json
+compatibility_date = "2024-08-06"
+
+[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