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import { hnSearch } from "https://esm.town/v/stevekrouse/hnSearch";
import inputHeader from "https://esm.town/v/substrate/inputHeader";
import { ComputeJSON, ComputeText, sb, Substrate } from "npm:substrate";
import { z } from "npm:zod";
import { zodToJsonSchema } from "npm:zod-to-json-schema";
const substrate = new Substrate({ apiKey: Deno.env.get("SUBSTRATE_API_KEY") });
// search for HN comments using https://hn.algolia.com/api
const query = "rust";
const searchResults = await hnSearch({
query: query,
numericFilters: `created_at_i>${Math.floor(Date.now() / 1000) - 60 * 60 * 24 * 7 * 4}`,
tags: "comment",
});
// Extract summary, sentiment, and metadata from each comment
const commentInfo = z.object({
summary: z.string().describe(
"Summarize in a couple sentences: who is commenting, what the comment is about, how it is related to the topic.",
),
storyTitle: z.string().describe("The story title."),
forHiring: z.boolean().describe(
"True if the story is a Ask HN post with Who is hiring, Who wants to be hired, or Seeking freelancer in the title",
),
sentiment: z.enum(["positive", "neutral", "negative"]).describe("Sentiment of the post."),
objectID: z.string().describe("objectID field"),
});
let summaries = [];
for (const hit of searchResults.hits) {
summaries.push(
new ComputeJSON({
prompt: `Summarize this comment and how it relates to the topic: ${query}
Use "negative" sentiment for posts about API, abstraction, documentation, tutorial, general quality, slowness, or performance issues.
COMMENT: ${JSON.stringify(hit)}`,
json_schema: zodToJsonSchema(commentInfo),
}, { cache_age: 60 * 60 * 24 }),
);
}
// Generate a markdown summary
const markdown = new ComputeText({
prompt: sb.concat(
`Below is a list of summarized comments about ${query} on HackerNews in the last week.
Generate concise markdown summarizing the results.
DO NOT include a title or introduction.
Summarize the contents of the comment and the sentiment about ${query}.
Categorize results under sentiment headers.
Order from most negative to least negative within each category.
Add a link to the original story URL in this format: [<story title>](https://news.ycombinator.com/item?id=<objectID>)
Filter out posts that are for hiring (forHiring = true).
Filter out posts that do not seem to be about ${query}.
Just return the markdown. Do not introduce with "Here is" or explain the output.
RESULTS:\n`, // @ts-ignore
...summaries.map((s) => sb.jq(s.future.json_object, "@json")),
),
model: "Llama3Instruct70B",
});
const stream = await substrate.stream(markdown);
// Render streaming markdown
export default async function handler(req: Request): Promise<Response> {
let { readable, writable } = new TransformStream();
let writer = writable.getWriter();
const textEncoder = new TextEncoder();
writer.write(textEncoder.encode(`<!DOCTYPE html>
<html>
<head>
<script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
<style>
.link-pair {
display: inline-block;
margin-right: 10px;
}
.link-pair a {
display: inline-block;
margin-right: 5px;
}
</style>
</head>
<body>
<div id="content"></div>
<script>
let content = document.getElementById('content');
let markdown = '';
</script>`));
new Promise(async () => {
for await (const event of stream.get(markdown)) {
if (event.object === "node.delta") {
const chunk = event.data.text || "";
writer.write(textEncoder.encode(`<script>
markdown += ${JSON.stringify(chunk)};
content.innerHTML = marked.parse(markdown);
</script>`));
}
}
writer.write(textEncoder.encode(`</body></html>`));
writer.close();
});