WeLe Agentic AI: LangGraph multi-agent CRM assistant with voice
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/* Does "salim" exist anywhere, and why did the search miss it? */
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import { connectMongo } from '../src/data/mongo.js';
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import { Lead, Conversation } from '../src/data/models/index.js';
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await connectMongo();
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const rx = /salim/i;
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const leads = await Lead.find({ $or: [{ name: rx }, { wa_name: rx }] })
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.select('name wa_name phone_number current_stage').limit(10).lean();
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console.log(`LEADS matching /salim/i: ${leads.length}`);
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for (const l of leads) console.log(` name="${l.name}" wa_name="${l.wa_name}" phone=${l.phone_number} stage=${l.current_stage}`);
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const convs = await Conversation.find({ participant_name: rx })
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.select('participant_name phone_number channel messages').limit(10).lean();
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console.log(`\nCONVERSATIONS matching participant_name /salim/i: ${convs.length}`);
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for (const c of convs) console.log(` "${c.participant_name}" ${c.phone_number} ${c.channel} msgs=${c.messages?.length ?? 0}`);
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// If a lead matched, is there a conversation on that phone?
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for (const l of leads.slice(0, 3)) {
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const byPhone = await Conversation.find({ phone_number: l.phone_number })
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.select('participant_name phone_number channel messages').lean();
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console.log(`\nconversations for lead phone ${l.phone_number}: ${byPhone.length}`);
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for (const c of byPhone) {
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console.log(` participant_name="${c.participant_name}" channel=${c.channel} msgs=${c.messages?.length ?? 0}`);
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}
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}
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// How are participant_name values actually populated?
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const total = await Conversation.countDocuments();
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const named = await Conversation.countDocuments({ participant_name: { $nin: ['', null] } });
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console.log(`\nconversations total=${total} with a participant_name=${named} (${Math.round(named / total * 100)}%)`);
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const sample = await Conversation.find({}).select('participant_name phone_number').limit(5).lean();
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console.log('sample participant_name values:', sample.map((s) => JSON.stringify(s.participant_name)).join(', '));
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process.exit(0);
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