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substrate-metwitterexa.web.val.run
August 1, 2024
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import Exa from "npm:exa-js";
import { ComputeJSON, ComputeText, sb, Substrate } from "npm:substrate";
import { z } from "npm:zod";
import { zodToJsonSchema } from "npm:zod-to-json-schema";
const exa = new Exa(Deno.env.get("EXA_API_KEY"));
const substrate = new Substrate({ apiKey: Deno.env.get("SUBSTRATE_API_KEY") });
// const query = "$BLAST";
const query = `"magic eden" OR "@magiceden"`;
// Search for tweets from the last week
const searchResults = await exa.searchAndContents(query, {
text: { maxCharacters: 1000 },
type: "keyword",
includeDomains: ["twitter.com"],
category: "tweet",
startPublishedDate: (new Date(Date.now() - 7 * 24 * 60 * 60 * 1000)).toISOString().split("T")[0],
numResults: 20,
});
// Extract summary, sentiment analysis, and other info for each tweet
const extractedTweet = z.object({
summary: z.string().describe(
"Summarize in a couple sentences: what is the text about and how it is related to the topic.",
),
isProfile: z.boolean().describe("True if the link is a twitter profile, not a post."),
sentiment: z.enum(["positive", "neutral", "negative"]),
url: z.string().describe("url"),
});
let summaries = [];
for (const result of searchResults.results) {
summaries.push(
new ComputeJSON({
prompt: `Summarize this tweet and how it relates to the topic: ${query}
COMMENT: ${JSON.stringify(result)}`,
json_schema: zodToJsonSchema(extractedTweet),
}, { cache_age: 60 * 60 * 24 }),
);
}
// Generate markdown summary
const markdown = new ComputeText({
prompt: sb.concat(
`Below is a list of summarized posts about ${query} on Twitter in the last week.
Generate concise markdown summarizing the results.
DO NOT INCLUDE a title or introduction.
Categorize by sentiment.
Include the summary of the tweet and sentiment.
DO NOT INCLUDE tweets that are twitter profiles (isProfile = true).
After the summary add a link to the tweet in this format: [full url](https://twitter.com/<handle>/status/<id>)
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> {
if (new URL(req.url).pathname === "/robots.txt") {
return new Response("User-agent: *\nDisallow: /");
}
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();
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August 1, 2024