feat: add web server backend.

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K
2026-04-28 23:55:41 +05:30
parent 3065a0adce
commit 3a0c32ea8f
8 changed files with 1705 additions and 0 deletions
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"use strict";
/**
* llmService.js
* All Groq LLM calls live here. Three functions:
* generateExplanation(standard) — 2-3 sentence plain-English summary
* answerQuestion(question, chunk) — grounded QA, strict context-only
* rewriteQuery(query) — optional query expansion
*
* Key rules enforced here:
* - GROQ_API_KEY never leaves this file toward the client
* - max_tokens kept short to minimise latency (<400 tokens each)
* - Every function returns a fallback value on failure — callers never throw
*/
const GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions";
const MODEL = "llama-3.1-8b-instant";
// ── Core fetch wrapper ──────────────────────────────────────────────────────
async function _groqCall({ systemPrompt, userMessage, maxTokens = 256, temperature = 0.2 }) {
const key = process.env.GROQ_API_KEY;
if (!key) throw new Error("GROQ_API_KEY not set");
const res = await fetch(GROQ_API_URL, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${key}`,
},
body: JSON.stringify({
model: MODEL,
messages: [
{ role: "system", content: systemPrompt },
{ role: "user", content: userMessage },
],
max_tokens: maxTokens,
temperature,
}),
});
if (!res.ok) {
const body = await res.json().catch(() => ({}));
throw new Error(`Groq ${res.status}: ${body?.error?.message || "unknown error"}`);
}
const data = await res.json();
return data.choices?.[0]?.message?.content?.trim() ?? "";
}
// ── 1. generateExplanation ──────────────────────────────────────────────────
/**
* Produces a 2-3 sentence plain-English explanation of a standard.
* Falls back to the standard's own summary on failure — never throws.
*
* @param {{ standard_id: string, title: string, summary?: string, content?: string, key_sections?: object }} standard
* @returns {Promise<string>}
*/
async function generateExplanation(standard) {
const context = buildStandardContext(standard);
try {
return await _groqCall({
systemPrompt:
"You are a technical writer for the Bureau of Indian Standards (BIS). " +
"Explain building material standards in simple English for engineers and contractors. " +
"Use ONLY the provided standard text — do not add, invent, or infer anything not explicitly stated. " +
"Write exactly 2-3 sentences. No bullet points. No headings.",
userMessage:
`Explain this BIS standard in simple terms using ONLY the provided information:\n\n${context}`,
maxTokens: 180,
temperature: 0.2,
});
} catch (err) {
// Graceful fallback — retrieval is unaffected
return standard.summary || standard.title || "";
}
}
// ── 2. answerQuestion ───────────────────────────────────────────────────────
/**
* Answers a user question strictly from a chunk of standard text.
* Returns "Not found in standard" when context doesn't contain the answer.
* Never throws.
*
* @param {string} question
* @param {string} chunkText — raw chunk text from standards_chunks.json
* @returns {Promise<string>}
*/
async function answerQuestion(question, chunkText) {
if (!question?.trim() || !chunkText?.trim()) {
return "Not found in standard";
}
try {
return await _groqCall({
systemPrompt:
"You are a precise technical assistant for BIS Indian Standards. " +
"Answer questions using ONLY the provided context text. " +
"If the answer is not present in the context, respond with exactly: 'Not found in standard'. " +
"Do not speculate. Do not reference other standards not mentioned in the context. " +
"Keep answers under 100 words.",
userMessage:
`CONTEXT:\n${chunkText}\n\nQUESTION: ${question.trim()}`,
maxTokens: 200,
temperature: 0.1,
});
} catch (err) {
return "Not found in standard";
}
}
// ── 3. rewriteQuery (optional) ──────────────────────────────────────────────
/**
* Rewrites a vague natural-language query into precise IS-standard keywords.
* Falls back to the original query on failure — retrieval is never blocked.
*
* @param {string} query
* @returns {Promise<string>}
*/
async function rewriteQuery(query) {
if (!query?.trim()) return query;
try {
const rewritten = await _groqCall({
systemPrompt:
"You are a search query optimizer for the BIS SP-21 building materials standards database. " +
"Convert the user's natural-language query into 3-6 precise technical keywords " +
"suitable for searching Indian Standards (IS) documents. " +
"Output ONLY the keywords separated by spaces — no explanation, no punctuation.",
userMessage: query.trim(),
maxTokens: 40,
temperature: 0.1,
});
// Sanity check — if rewrite is too long or garbled, fall back
const words = rewritten.trim().split(/\s+/);
if (words.length >= 2 && words.length <= 10) return rewritten.trim();
return query;
} catch {
return query;
}
}
// ── Helpers ─────────────────────────────────────────────────────────────────
function buildStandardContext(standard) {
const parts = [`Standard: ${standard.standard_id}${standard.title}`];
if (standard.category) parts.push(`Category: ${standard.category}`);
if (standard.summary) parts.push(`Summary: ${standard.summary}`);
const sections = Object.entries(standard.key_sections || {}).slice(0, 3);
if (sections.length) {
parts.push("Key Sections:");
for (const [name, text] of sections) {
// Cap each section to 300 chars to keep token count low
parts.push(` ${name}: ${text.slice(0, 300)}`);
}
}
return parts.join("\n");
}
module.exports = { generateExplanation, answerQuestion, rewriteQuery };