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21## `favicon.svg`
22
23As of this writing Val Town only supports text files, which is why the favicon is an SVG and not an .ico or any other binary image format. If you need binary file storage, check out [Blob Storage](https://docs.val.town/std/blob/).
24
25## `components/`

73});
74
75// --- Blob Image Serving Routes ---
76
77// GET /api/images/:filename - Serve images from blob storage
78app.get("/api/images/:filename", async (c) => {
79  const filename = c.req.param("filename");
80
81  try {
82    // Get image data from blob storage
83    const imageData = await blob.get(filename);
84
85    if (!imageData) {
86      return c.json({ error: "Image not found" }, 404);
87    }
88
90    let contentType = "application/octet-stream"; // Default
91    if (filename.endsWith(".jpg") || filename.endsWith(".jpeg")) {
92      contentType = "image/jpeg";
93    } else if (filename.endsWith(".png")) {
94      contentType = "image/png";
95    } else if (filename.endsWith(".gif")) {
96      contentType = "image/gif";
97    } else if (filename.endsWith(".svg")) {
98      contentType = "image/svg+xml";
99    }
100
101    // Return the image with appropriate headers
102    return new Response(imageData, {
103      headers: {
104        "Content-Type": contentType,
107    });
108  } catch (error) {
109    console.error(`Error serving image ${filename}:`, error);
110    return c.json(
111      { error: "Failed to load image", details: error.message },
112      500,
113    );

10      href="/public/favicon.svg"
11      sizes="any"
12      type="image/svg+xml"
13    />
14    <link rel="preconnect" href="https://fonts.googleapis.com" />
36        height: 100%;
37        font-family: "Pixelify Sans", sans-serif;
38        image-rendering: pixelated;
39      }
40      body::before {
50      /* For pixel art aesthetic */
51      * {
52        image-rendering: pixelated;
53      }
54    </style>

12}
13
14type ImageSummary = {
15  sender: string;
16  recipient: (typeof RECIPIENTS)[number] | "both" | "other";
22  anthropic: Anthropic,
23  htmlContent: string,
24  imageSummaries: ImageSummary[]
25) {
26  try {
36              text: `Analyze the following content from an email and provide a response as a JSON blob (only JSON, no other text) with two parts.
37
38                The email is from the USPS showing mail I'm receiving. Metadata about packages is stored directly in the email. Info about mail pieces is in images, so I've included summaries of those as well.
39
40                Your response should include:
66              And here is info about the mail pieces:
67
68              ${JSON.stringify(imageSummaries)}`,
69            },
70          ],
95  const anthropic = new Anthropic({ apiKey });
96
97  // Process each image attachment serially
98  const summaries = [];
99  for (const [index, attachment] of e.attachments.entries()) {
100    try {
101      const imageData = await attachment.arrayBuffer();
102      const base64Image = btoa(
103        String.fromCharCode(...new Uint8Array(imageData))
104      );
105
112            content: [
113              {
114                type: "image",
115                source: {
116                  type: "base64",
117                  media_type: attachment.type,
118                  data: base64Image,
119                },
120              },
148      summaries.push(parsedResponse);
149    } catch (error) {
150      console.error(`Image analysis error:`, error);
151      summaries.push({
152        sender: "Error",
153        recipient: "Error",
154        type: "error",
155        notes: `Image ${index + 1} Analysis Failed: ${error.message}`,
156      });
157    }

187## Val Town Platform Specifics
188- **Redirects:** Use `return new Response(null, { status: 302, headers: { Location: "/place/to/redirect" }})` instead of `Response.redirect` which is broken
189- **Images:** Avoid external images or base64 images. Use emojis, unicode symbols, or icon fonts/libraries instead
190- For AI-generated images, use: `https://maxm-imggenurl.web.val.run/the-description-of-your-image`
191- **Storage:** DO NOT use the Deno KV module for storage
192- **Browser APIs:** DO NOT use the `alert()`, `prompt()`, or `confirm()` methods

2  // Background
3  BACKGROUND:
4    "https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/8b501664-722e-4be8-cf71-83aab7756e00/public",
5
6  // Stevens
7  STEVENS_FRONT:
8    "https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/8b8432bb-add2-44ad-bb12-44b8ea215500/public",
9  STEVENS_BACK:
10    "https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/e28da8ab-7710-4b82-8e32-8fdf65c2ed00/public",
11  STEVENS_WALKING:
12    "https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/bd7b9997-09b2-4b35-6eb9-9975a85bb700/public",
13
14  // Mailman
15  MAILMAN_STANDING:
16    "https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/20a6493d-cc31-475e-aa83-ac97d317e400/public",
17  MAILMAN_WALKING:
18    "https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/61604576-8a83-4d85-d5e4-8e8e26641700/public",
19};
20

82  const [cookieAndTeaMode, setCookieAndTeaMode] = useState(false);
83
84  // Fetch images from backend instead of blob storage directly
85  useEffect(() => {
86    // Set default background color in case image doesn't load
87    if (document.body) {
88      document.body.style.backgroundColor = "#2D1700"; // Dark brown leather color
89    }
90
91    // Fetch avatar image
92    fetch("/api/images/stevens.jpg")
93      .then((response) => {
94        if (response.ok) return response.blob();
95        throw new Error("Failed to load avatar image");
96      })
97      .then((imageBlob) => {
98        const url = URL.createObjectURL(imageBlob);
99        setAvatarUrl(url);
100      })
104
105    // Fetch wood background
106    fetch("/api/images/wood.jpg")
107      .then((response) => {
108        if (response.ok) return response.blob();
109        throw new Error("Failed to load wood background");
110      })
111      .then((imageBlob) => {
112        const url = URL.createObjectURL(imageBlob);
113        setWoodUrl(url);
114
115        // Apply wood background to body
116        if (document.body) {
117          document.body.style.backgroundImage = `url(${url})`;
118        }
119      })
362      return {
363        position: SCENE_ELEMENTS.DESK_SITTING,
364        image: ASSETS.STEVENS_FRONT,
365        highlightElement: SCENE_ELEMENTS.DESK,
366        animationClass: "no-animation",
372      return {
373        position: SCENE_ELEMENTS.DESK_SITTING,
374        image: ASSETS.STEVENS_FRONT,
375        highlightElement: null,
376        animationClass: "no-animation",
387            y: SCENE_ELEMENTS.MAILBOX.y - 20,
388          },
389          image: ASSETS.STEVENS_BACK,
390          highlightElement: SCENE_ELEMENTS.MAILBOX,
391          animationClass: "walk-to-mailbox",
398            y: SCENE_ELEMENTS.CALENDAR.y + 30,
399          },
400          image: ASSETS.STEVENS_BACK,
401          highlightElement: SCENE_ELEMENTS.CALENDAR,
402          animationClass: "walk-to-calendar",
409            y: SCENE_ELEMENTS.TELEGRAM.y + 10,
410          },
411          image: ASSETS.STEVENS_BACK,
412          highlightElement: SCENE_ELEMENTS.TELEGRAM,
413          animationClass: "walk-to-telegram",
417        return {
418          position: SCENE_ELEMENTS.OUTSIDE,
419          image: ASSETS.STEVENS_FRONT,
420          highlightElement: null,
421          animationClass: "walk-to-outside",
425        return {
426          position: SCENE_ELEMENTS.DESK_SITTING,
427          image: ASSETS.STEVENS_FRONT,
428          highlightElement: SCENE_ELEMENTS.DESK,
429          animationClass: "walk-to-desk",
623          box-shadow: inset 0 0 5px rgba(0, 0, 0, 0.4),
624            0 3px 8px rgba(0, 0, 0, 0.5);
625          image-rendering: pixelated;
626          cursor: pointer;
627          transition: transform 0.2s;
634        .notebook-pages {
635          background-color: #f8f1e0;
636          background-image: linear-gradient(#d6c6a5 1px, transparent 1px);
637          background-size: 100% 16px;
638          box-shadow: inset 0 0 8px rgba(0, 0, 0, 0.3);
639          image-rendering: pixelated;
640        }
641
652
653        .pixel-character {
654          image-rendering: pixelated;
655          position: absolute;
656          transition: left 0.7s ease-in-out, top 0.7s ease-in-out;
763          className="w-[512px] h-[512px] mx-auto relative"
764          style={{
765            backgroundImage: `url(${ASSETS.BACKGROUND})`,
766            backgroundSize: "cover",
767            backgroundPosition: "center",
768            imageRendering: "pixelated",
769          }}
770        >
799          {/* Stevens character */}
800          <img
801            src={stevensState.image}
802            alt="Stevens"
803            className={`pixel-character ${

9    });
10
11    // Fetch the weather image directly
12    const weatherImageUrl = "https://wttr.in/buelach_q_1pq.png";
13    const weatherResponse = await fetch(weatherImageUrl);
14
15    if (!weatherResponse.ok) {
16      console.error(`Failed to fetch weather image: ${weatherResponse.status}`);
17      return new Response(`Error fetching weather data: ${weatherResponse.status}`, { status: 500 });
18    }
19
20    // Get the image as a base64 string
21    const imageArrayBuffer = await weatherResponse.arrayBuffer();
22    const base64Image = btoa(
23      String.fromCharCode(...new Uint8Array(imageArrayBuffer)),
24    );
25
26    // Create markdown text with embedded image (using a proper markdown image syntax)
27    const mdText =
28      `# Weather Forecast for Bülach - ${currentDate}\n\n![Weather Forecast](data:image/png;base64,${base64Image})`;
29
30    // Send to Capacities API with JSON

3import { Hono } from "npm:hono";
4import { embedMetadata, handleFarcasterEndpoints, iconUrl, name } from "./farcaster.ts";
5import { handleImageEndpoints } from "./image.tsx";
6import { fetchGet as fetchNeynarGet } from "./neynar.ts";
7
8const app = new Hono();
9
10handleImageEndpoints(app);
11handleFarcasterEndpoints(app);
12
54        <meta name="fc:frame" content={JSON.stringify(embedMetadata(baseUrl, path))} />
55        <link rel="icon" href={iconUrl} />
56        <meta property="og:image" content={baseUrl + "/image"} />
57      </head>
58      <body class="bg-white text-black dark:bg-black dark:text-white">

5import satori from "npm:satori";
6
7export function handleImageEndpoints(app: Hono) {
8  const headers = {
9    "Content-Type": "image/png",
10    "cache-control": "public, max-age=3600",
11  };
12  app.get("/image", async (c) => {
13    return c.body(await homeImage(), 200, headers);
14  });
15}
16
17export async function homeImage() {
18  return await ogImage(
19    <div
20      tw="w-full h-full flex justify-start items-end text-[100px] bg-black bg-gradient-to-br from-black to-gray-900 text-white p-[50px]"
34            width: "100px",
35            height: "100px",
36            WebkitMaskImage: `url(${base64Icon(Store)})`,
37            WebkitMaskRepeat: "no-repeat",
38            // WebkitMaskPosition: "center",
53//////////
54
55export async function ogImage(body) {
56  const svg = await satori(
57    body,
64        if (code === "emoji") {
65          const unicode = segment.codePointAt(0).toString(16).toUpperCase();
66          return `data:image/svg+xml;base64,` + btoa(await loadEmoji(unicode));
67        }
68        return "";
101  const base64 = Buffer.from(svg).toString("base64");
102  // console.log('getIconDataUrl', name, svg, base64)
103  return `data:image/svg+xml;base64,${base64}`;
104};