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import type { Tiktoken } from "js-tiktoken";
import type { ZTagStyle } from "./types/users";
import { getTagStylePrompt } from "./utils/tag";
let encoding: Tiktoken | null = null;
/**
* Lazy load the encoding to avoid loading the tiktoken data into memory
* until it's actually needed
*/
async function getEncodingInstance(): Promise<Tiktoken> {
if (!encoding) {
// Dynamic import to lazy load the tiktoken module
const { getEncoding } = await import("js-tiktoken");
encoding = getEncoding("o200k_base");
}
return encoding;
}
/**
* Remove duplicate whitespaces to avoid tokenization issues
*/
function preprocessContent(content: string) {
return content.replace(/(\s){10,}/g, "$1");
}
async function calculateNumTokens(text: string): Promise<number> {
const enc = await getEncodingInstance();
return enc.encode(text).length;
}
async function truncateContent(
content: string,
length: number,
): Promise<string> {
const enc = await getEncodingInstance();
const tokens = enc.encode(content);
if (tokens.length <= length) {
return content;
}
const truncatedTokens = tokens.slice(0, length);
return enc.decode(truncatedTokens);
}
export function buildImagePrompt(
lang: string,
customPrompts: string[],
tagStyle: ZTagStyle,
) {
const tagStyleInstruction = getTagStylePrompt(tagStyle);
return `
You are an expert whose responsibility is to help with automatic text tagging for a read-it-later/bookmarking app.
Analyze the attached image and suggest relevant tags that describe its key themes, topics, and main ideas. The rules are:
- Aim for a variety of tags, including broad categories, specific keywords, and potential sub-genres.
- The tags must be in ${lang}.
- If the tag is not generic enough, don't include it.
- Aim for 10-15 tags.
- If there are no good tags, don't emit any.
${tagStyleInstruction}
${customPrompts && customPrompts.map((p) => `- ${p}`).join("\n")}
You must respond in valid JSON with the key "tags" and the value is list of tags. Don't wrap the response in a markdown code.`;
}
/**
* Construct tagging prompt for text content
*/
function constructTextTaggingPrompt(
lang: string,
customPrompts: string[],
content: string,
tagStyle: ZTagStyle,
): string {
const tagStyleInstruction = getTagStylePrompt(tagStyle);
return `
You are an expert whose responsibility is to help with automatic tagging for a read-it-later/bookmarking app.
Analyze the TEXT_CONTENT below and suggest relevant tags that describe its key themes, topics, and main ideas. The rules are:
- Aim for a variety of tags, including broad categories, specific keywords, and potential sub-genres.
- The tags must be in ${lang}.
- If the tag is not generic enough, don't include it.
- Do NOT generate tags related to:
- An error page (404, 403, blocked, not found, dns errors)
- Boilerplate content (cookie consent, login walls, GDPR notices)
- Aim for 3-5 tags.
- If there are no good tags, leave the array empty.
${tagStyleInstruction}
${customPrompts && customPrompts.map((p) => `- ${p}`).join("\n")}
<TEXT_CONTENT>
${content}
</TEXT_CONTENT>
You must respond in JSON with the key "tags" and the value is an array of string tags.`;
}
/**
* Construct summary prompt
*/
function constructSummaryPrompt(
lang: string,
customPrompts: string[],
content: string,
): string {
return `
Summarize the following content responding ONLY with the summary. You MUST follow the following rules:
- Summary must be in 3-4 sentences.
- The summary must be in ${lang}.
${customPrompts && customPrompts.map((p) => `- ${p}`).join("\n")}
${content}`;
}
/**
* Build text tagging prompt without truncation (for previews/UI)
*/
export function buildTextPromptUntruncated(
lang: string,
customPrompts: string[],
content: string,
tagStyle: ZTagStyle,
): string {
return constructTextTaggingPrompt(
lang,
customPrompts,
preprocessContent(content),
tagStyle,
);
}
export async function buildTextPrompt(
lang: string,
customPrompts: string[],
content: string,
contextLength: number,
tagStyle: ZTagStyle,
): Promise<string> {
content = preprocessContent(content);
const promptTemplate = constructTextTaggingPrompt(
lang,
customPrompts,
"",
tagStyle,
);
const promptSize = await calculateNumTokens(promptTemplate);
const truncatedContent = await truncateContent(
content,
contextLength - promptSize,
);
return constructTextTaggingPrompt(
lang,
customPrompts,
truncatedContent,
tagStyle,
);
}
export async function buildSummaryPrompt(
lang: string,
customPrompts: string[],
content: string,
contextLength: number,
): Promise<string> {
content = preprocessContent(content);
const promptTemplate = constructSummaryPrompt(lang, customPrompts, "");
const promptSize = await calculateNumTokens(promptTemplate);
const truncatedContent = await truncateContent(
content,
contextLength - promptSize,
);
return constructSummaryPrompt(lang, customPrompts, truncatedContent);
}
/**
* Build summary prompt without truncation (for previews/UI)
*/
export function buildSummaryPromptUntruncated(
lang: string,
customPrompts: string[],
content: string,
): string {
return constructSummaryPrompt(
lang,
customPrompts,
preprocessContent(content),
);
}
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