serverside support for prngsentences

This commit is contained in:
mehbark 2024-03-24 20:34:58 -04:00
parent 33fca057bc
commit eb7770d5a9
4 changed files with 99 additions and 45 deletions

0
html/derivative.tsx Normal file
View file

View file

@ -1,2 +1,3 @@
// like crumbling but more complex and maybe cooler (ha) looking
// nah. too derivative
// that gives me an idea

58
html/prngsentences.html Normal file
View file

@ -0,0 +1,58 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>PRNG sentences</title>
<meta itemprop="name" content="PRNG Sentences" />
<meta property="og:title" content="PRNG Sentences" />
<meta property="twitter:title" content="PRNG Sentences" />
<meta
name="description"
content="helper for prng sentences made with prngnouns"
/>
<meta
property="og:description"
content="helper for prng sentences made with prngnouns"
/>
<meta
property="twitter:description"
content="helper for prng sentences made with prngnouns"
/>
<meta property="og:site_name" content="PRNG sentences" />
<meta name="theme-color" content="#eedd33" />
<style>
:root {
--accent: #eedd33;
}
</style>
<script>
const render = text => {
return text;
};
window.onload = () => {
const words = document.getElementById("words");
const output = document.getElementById("output");
words.addEventListener(
"change",
() => (output.value = render(words.value))
);
words.addEventListener(
"keyup",
() => (output.value = render(words.value))
);
};
</script>
</head>
<body>
<textarea id="words"></textarea>
<textarea readonly id="output"></textarea>
</body>
</html>

View file

@ -8,16 +8,17 @@ const font = await fetch("https://static.pyrope.net/courier-std-bold.otf")
.then((r) => r.arrayBuffer())
.then((b) => new Uint8Array(b));
// deciding now: pronouns (e.g. he/him) can be at most 32 chars
let images: Map<string, { image: Uint8Array; fetched: number }> = new Map();
function make_image(s: string): Image {
console.log(`MAKING AN IMAGE FOR '${s}' (EXPENSIVE!)`);
function make_image(
{ text, color = 0, outline_color = 0xff_ff_ff_ff }: {
text: string;
color?: number;
outline_color?: number;
},
): Image {
let image = Image.renderText(
font,
64,
s,
text,
0,
new TextLayout({ verticalAlign: "center", horizontalAlign: "middle" }),
);
@ -25,8 +26,8 @@ function make_image(s: string): Image {
const outline = Image.renderText(
font,
64,
s,
0xff_ff_ff_ff,
text,
outline_color,
new TextLayout({ verticalAlign: "center", horizontalAlign: "middle" }),
);
@ -35,52 +36,30 @@ function make_image(s: string): Image {
image = image.composite(outline, hshift, vshift);
}
}
const text = Image.renderText(
const text_img = Image.renderText(
font,
64,
s,
0x00_00_00_ff,
text,
color,
new TextLayout({ verticalAlign: "center", horizontalAlign: "middle" }),
);
const final = image.composite(text);
const final = image.composite(text_img);
return final.crop(0, 0, final.width, final.height - 22);
}
async function get_pronoun_image(prn: string): Promise<Uint8Array> {
if (images.has(prn)) {
const entry = images.get(prn)!;
entry.fetched++;
return entry.image;
}
const image = await make_image(prn).encode();
images.set(prn, { image, fetched: 1 });
return image;
}
// the whole cache thing def sketches me out, but people probably won't be *that* malicious
const MAX_PRN_LENGTH = 128;
const MAX_PRN_CACHE = 64;
// shouldn't really be a problem
const MAX_PRN_CHOICES = 256;
function clean_up() {
if (images.size <= MAX_PRN_CACHE) {
console.log(
`not cleaning up, we only have ${images.size} cached which is less than ${MAX_PRN_CACHE}`,
);
return;
}
// reverse order!
const entries = [...images.entries()].toSorted(([_a, a], [_b, b]) =>
b.fetched - a.fetched
);
console.log("before clean up:", images);
images = new Map(entries.slice(0, MAX_PRN_CACHE));
console.log("after clean up:", images);
}
// let's stick to hex even though BigInt() can handle prefixes (prefices?)
const hex_string_to_color = (s: string): number | undefined => {
const parsed = parseInt(s, 16);
if (Number.isNaN(parsed)) return;
// JANK! SORRY
return Number((BigInt(parsed) << 8n) | 0xffn);
};
const image_response = (data: Uint8Array): Response =>
new Response(data, {
@ -88,7 +67,9 @@ const image_response = (data: Uint8Array): Response =>
});
Deno.serve({ port: 61265 }, async (req) => {
const prns = (new URL(req.url)).searchParams.getAll("p");
const url = new URL(req.url);
const params = url.searchParams;
const prns = params.getAll("p");
if (prns.some((p) => p.length > MAX_PRN_LENGTH)) {
return new Response(`MAX_PRN_LENGTH = ${MAX_PRN_LENGTH}`, { status: 413 });
@ -103,7 +84,21 @@ Deno.serve({ port: 61265 }, async (req) => {
const prn = prns[Math.floor(Math.random() * prns.length)] ??
"NONE, APPARENTLY";
const resp = image_response(await get_pronoun_image(prn));
clean_up();
const fg_str = params.get("fg");
const outline_str = params.get("outline");
const sentence_id = params.get("sentence_id");
const sentence_index = params.get("sentence_index");
console.log(
`${sentence_id}#${sentence_index}: chose ${prn} from ${prns}. ${fg_str} on ${outline_str}`,
);
const fg = hex_string_to_color(fg_str ?? "0");
const outline = hex_string_to_color(outline_str ?? "ffffff");
const resp = image_response(
await make_image({ text: prn, color: fg, outline_color: outline }).encode(),
);
return resp;
});