1# Framer Fetch: Basic
2
3A basic example of an API endpoint to use with Framer Fetch.
6* Fork this val to your own profile.
7* Make a folder for the temporary vals that get generated, take the ID from the URL, and put it in `tempValsParentFolderId`.
8* If you want to use OpenAI models you need to set the `OPENAI_API_KEY` [env var](https://www.val.town/settings/environment-variables).
9* If you want to use Anthropic models you need to set the `ANTHROPIC_API_KEY` [env var](https://www.val.town/settings/environment-variables).
10* Create a [Val Town API token](https://www.val.town/settings/api), open the browser preview of this val, and use the API token as the password to log in.
11
12<img width=500 src="https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/7077d1b5-1fa7-4a9b-4b93-f8d01d3e4f00/public"/>
6* Fork this val to your own profile.
7* Make a folder for the temporary vals that get generated, take the ID from the URL, and put it in `tempValsParentFolderId`.
8* If you want to use OpenAI models you need to set the `OPENAI_API_KEY` [env var](https://www.val.town/settings/environment-variables).
9* If you want to use Anthropic models you need to set the `ANTHROPIC_API_KEY` [env var](https://www.val.town/settings/environment-variables).
10* Create a [Val Town API token](https://www.val.town/settings/api), open the browser preview of this val, and use the API token as the password to log in.
11
12<img width=500 src="https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/7077d1b5-1fa7-4a9b-4b93-f8d01d3e4f00/public"/>
12
13const dataURL =
14 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15
16const meta = {
10formData.append("file", blob, "data.ts");
11
12// URL of your API
13const apiUrl = "https://filehaus.top/api/upload/data.ts"; // Replace with your API URL
14
15// Send the file using fetch
16try {
17 const response = await fetch(apiUrl, {
18 method: "POST",
19 body: formData,
1// This implementation uses SQLite to store blob data instead of the Val Town API.
2// It creates a 'blobs' table to store key-value pairs, where the key is the blob key
3// and the value is the blob data stored as TEXT. This approach allows for persistence
1// This implementation uses SQLite to store blob data instead of the Val Town API.
2// It creates a 'blobs' table to store key-value pairs, where the key is the blob key
3// and the value is the blob data stored as TEXT. This approach allows for persistence
5Using these two vals, you can put an interactive guestbook on any website.
6
7`valUser` and `valName` are used to build the Express API URL for your forked version of [`@vtdocs.guestbook`](https://www.val.town/v/vtdocs.guestbook).
11
12 try {
13 const apiUrl =
14 `https://en.wikipedia.org/w/api.php?action=query&prop=extracts&exintro&explaintext&format=json&origin=*&titles=${
15 encodeURIComponent(title)
16 }`;
17 const response = await fetch(apiUrl);
18 if (!response.ok) {
19 throw new Error(`HTTP error! status: ${response.status}`);
1// This approach will use the Notion API to update a block's color.
2// We'll create a simple HTML page with a button, and use JavaScript to handle
3// the click event and make a request to our Val Town function.
4// The function will then make a request to the Notion API to update the block.
5
6import { Hono } from "npm:hono";
49app.post("/randomize", async (c) => {
50 const blockId = Deno.env.get("TOWNIE_BLOCK_ID");
51 const notionApiKey = Deno.env.get("TOWNIE_NOTION_API_KEY");
52
53 if (!blockId || !notionApiKey) {
54 return c.json({ message: "Missing environment variables" }, 500);
55 }
58 const randomColor = colors[Math.floor(Math.random() * colors.length)];
59
60 const response = await fetch(`https://api.notion.com/v1/blocks/${blockId}`, {
61 method: "PATCH",
62 headers: {
63 "Authorization": `Bearer ${notionApiKey}`,
64 "Notion-Version": "2022-06-28",
65 "Content-Type": "application/json",
