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const db = require('../db');
const { calculateLeadScore } = require('./aiEngine');
require('dotenv').config();
// Initialize Google Auth
let auth;
if (process.env.GOOGLE_CREDS_JSON) {
try {
const credentials = JSON.parse(process.env.GOOGLE_CREDS_JSON);
auth = new google.auth.GoogleAuth({
credentials,
scopes: ['https://www.googleapis.com/auth/spreadsheets'],
});
} catch (e) {
console.error('Failed to parse GOOGLE_CREDS_JSON environment variable:', e);
auth = new google.auth.GoogleAuth({
keyFile: 'credentials.json',
scopes: ['https://www.googleapis.com/auth/spreadsheets'],
});
}
} else {
auth = new google.auth.GoogleAuth({
keyFile: 'credentials.json', // Path to your service account key file for local dev
scopes: ['https://www.googleapis.com/auth/spreadsheets'],
});
}
const sheets = google.sheets({ version: 'v4', auth });
const SPREADSHEET_ID = process.env.SPREADSHEET_ID;
/**
* Parses date strings in DD/MM/YYYY hh:mm:ss format or other fallback formats
*/
const parseSheetDate = (dateStr) => {
if (!dateStr) return new Date().toISOString();
// Handle DD/MM/YYYY format with potential time
const parts = dateStr.trim().split(/[\/\s:]/);
if (parts.length >= 3) {
const day = parseInt(parts[0], 10);
const month = parseInt(parts[1], 10) - 1; // 0-indexed
const year = parseInt(parts[2], 10);
let hour = 0;
let minute = 0;
let second = 0;
if (parts.length >= 6) {
hour = parseInt(parts[3], 10);
minute = parseInt(parts[4], 10);
second = parseInt(parts[5], 10);
}
// Ensure numbers are valid
if (day > 0 && day <= 31 && month >= 0 && month < 12 && year > 1900) {
const date = new Date(year, month, day, hour, minute, second);
if (!isNaN(date.getTime())) {
return date.toISOString();
}
}
}
const fallback = new Date(dateStr);
return !isNaN(fallback.getTime()) ? fallback.toISOString() : new Date().toISOString();
};
/**
* Fetch all rows from Google Sheets and sync to PostgreSQL relational tables
*/
const syncSheetsToDB = async (io) => {
if (!SPREADSHEET_ID || SPREADSHEET_ID === 'YOUR_SPREADSHEET_ID_HERE') {
console.log('Skipping sync: SPREADSHEET_ID not configured in .env');
return;
}
try {
// Read from Sheet1!A2:L to get all columns (ID, Student Name, Phone, Email, Course, Fee, Source, Status, Admission, Counselor, Date, Contacted)
const response = await sheets.spreadsheets.values.get({
spreadsheetId: SPREADSHEET_ID,
range: 'Sheet1!A2:L', // Fetch up to L
});
const rows = response.data.values;
if (!rows || rows.length === 0) {
console.log('No data found in Google Sheets.');
return;
}
let newlyAdded = 0;
let updated = 0;
for (const row of rows) {
// Corrected indices based on actual spreadsheet layout:
// 0: ID (Serial No)
// 1: Student Name
// 2: Phone Number
// 3: Email
// 4: Interested Course
// 5: Course Fee
// 6: Lead Source
// 7: Lead Status (followup_status)
// 8: Admission Status
// 9: Counselor Name
// 10: Follow-up Date
// 11: Last Contacted (created_date)
const student_name = row[1] || '';
const phone = row[2] || '';
const email = row[3] || '';
const course_interested = row[4] || '';
const fees = row[5] ? parseFloat(row[5].toString().replace(/[^0-9.]/g, '')) : 0;
const source = row[6] || '';
const followup_status = row[7] || 'Pending';
const admission_status = row[8] || 'Pending'; // 'Pending' or 'Admitted'
const counselor_name = row[9] || '';
const last_contacted_str = row[11] || row[10] || ''; // Fallback to Follow-up Date if Last Contacted is empty
if (!phone || phone === 'Phone Number' || student_name === 'Student Name') continue; // Skip header/invalid rows
// 1. Dynamic Counselor Lookup / Creation
let counselorId = null;
if (counselor_name) {
const { data: existingCounselors, error: cErr } = await db
.from('counselors')
.select('id')
.eq('name', counselor_name);
if (cErr) {
console.error('Error fetching counselor:', cErr);
} else if (existingCounselors && existingCounselors.length > 0) {
counselorId = existingCounselors[0].id;
} else {
// Dynamically create counselor with a generated unique email address
const cEmail = `${counselor_name.toLowerCase().replace(/[^a-z0-9]/g, '')}@acadflow.com`;
const { data: newCounselors, error: createCErr } = await db
.from('counselors')
.insert([{
name: counselor_name,
email: cEmail,
role: 'Counselor'
}])
.select('id');
if (createCErr) {
console.error('Error creating counselor:', createCErr);
} else if (newCounselors && newCounselors.length > 0) {
counselorId = newCounselors[0].id;
}
}
}
// 2. Check if lead already exists based on phone
const { data: existingLeads, error: selectError } = await db
.from('leads')
.select('*')
.eq('phone', phone);
if (selectError) {
console.error('Error fetching lead from Supabase:', selectError);
continue;
}
// Parse dates safely
const created_at = parseSheetDate(last_contacted_str);
if (existingLeads && existingLeads.length === 0) {
// Calculate AI Lead Score
const lead_score = calculateLeadScore({
lead_source: source,
followup_status: followup_status,
interested_course: course_interested
});
// Insert new lead
const { data: newLeads, error: insertError } = await db
.from('leads')
.insert([{
name: student_name,
phone,
email,
course_interested,
source,
status: followup_status,
lead_score,
counselor_id: counselorId,
created_at,
updated_at: created_at
}])
.select('id');
if (insertError) {
console.error('Error inserting lead into Supabase:', insertError);
} else if (newLeads && newLeads.length > 0) {
const leadId = newLeads[0].id;
newlyAdded++;
if (io && io.addNotification) {
io.addNotification({
title: lead_score > 80 ? "New hot lead assigned ๐ฅ" : "New lead assigned ๐ค",
message: `${student_name} is interested in ${course_interested} (Score: ${lead_score}%).`,
type: "LEAD_ALERT",
priority: lead_score > 80 ? "High" : "Low",
action_url: `/leads?search=${student_name}`
});
}
// Create dynamic linked follow-up record
const { error: followUpError } = await db
.from('follow_ups')
.insert([{
lead_id: leadId,
followup_date: created_at,
followup_type: 'Call',
status: followup_status === 'Pending' ? 'Pending' : 'Completed',
remarks: 'Initial sync from Google Sheets',
created_by: counselorId
}]);
if (followUpError) {
console.error('Error creating follow-up:', followUpError);
}
// Create dynamic linked admission record if Admitted
if (admission_status === 'Admitted') {
const { error: admissionError } = await db
.from('admissions')
.insert([{
lead_id: leadId,
course: course_interested,
fees,
payment_status: 'Pending',
joined_date: created_at
}]);
if (admissionError) {
console.error('Error creating admission:', admissionError);
}
}
}
} else {
// True Two-Way Sync logic:
// Update DB if Sheet has new basic info
const lead = existingLeads[0];
const hasBasicChanges = lead.name !== student_name || lead.course_interested !== course_interested || lead.counselor_id !== counselorId || lead.email !== email;
const statusChanged = lead.status !== followup_status;
if (hasBasicChanges || statusChanged) {
const updates = {};
if (lead.name !== student_name) updates.name = student_name;
if (lead.email !== email) updates.email = email;
if (lead.course_interested !== course_interested) updates.course_interested = course_interested;
if (lead.counselor_id !== counselorId) updates.counselor_id = counselorId;
if (statusChanged) updates.status = followup_status;
const { error: updateError } = await db
.from('leads')
.update(updates)
.eq('id', lead.id);
if (updateError) {
console.error('Error updating lead in DB:', updateError);
} else {
updated++;
}
}
// Sync linked admissions record based on admission status
const { data: existingAdmissions, error: admSelectError } = await db
.from('admissions')
.select('id')
.eq('lead_id', lead.id);
if (!admSelectError) {
const hasAdmissionRecord = existingAdmissions && existingAdmissions.length > 0;
if (admission_status === 'Admitted' && !hasAdmissionRecord) {
// Create admissions record dynamically
await db.from('admissions').insert([{
lead_id: lead.id,
course: course_interested,
fees,
payment_status: 'Pending',
joined_date: created_at
}]);
} else if (admission_status !== 'Admitted' && hasAdmissionRecord) {
// Remove admissions record
await db.from('admissions').delete().eq('lead_id', lead.id);
}
}
}
}
if (newlyAdded > 0 || updated > 0) {
console.log(`Successfully synced: ${newlyAdded} new leads, ${updated} updated leads.`);
if (io) {
io.emit('leads_updated', { message: 'New leads synced from Google Sheets', count: newlyAdded + updated });
if (io.addNotification) {
io.addNotification({
title: "Google Sheets synced successfully ๐",
message: `Synced ${newlyAdded} new leads, ${updated} updated leads from external database.`,
type: "SYSTEM_ALERT",
priority: "Low",
action_url: "/"
});
}
}
}
} catch (error) {
console.error('Error syncing Google Sheets to DB:', error);
}
};
/**
* Update a specific lead in Google Sheets (DB to Sheet)
*/
const updateLeadInSheet = async (phone, statusData) => {
if (!SPREADSHEET_ID) return;
try {
// Fetch all rows to find the exact row index
const response = await sheets.spreadsheets.values.get({
spreadsheetId: SPREADSHEET_ID,
range: 'Sheet1!A:L',
});
const rows = response.data.values;
if (!rows) return;
// Find row index (Adding 1 because array is 0-indexed and sheet is 1-indexed)
const rowIndex = rows.findIndex(row => row[2] === phone); // Phone is row[2]
if (rowIndex !== -1) {
const sheetRowNumber = rowIndex + 1;
// Column H is Lead Status (row[7]) and Column I is Admission Status (row[8])
// We update just those cells to avoid overwriting other data
await sheets.spreadsheets.values.update({
spreadsheetId: SPREADSHEET_ID,
range: `Sheet1!H${sheetRowNumber}:I${sheetRowNumber}`,
valueInputOption: 'USER_ENTERED',
resource: {
values: [
[statusData.followup_status, statusData.admission_status]
]
}
});
console.log(`Successfully updated lead ${phone} in Google Sheet.`);
}
} catch (error) {
console.error('Error updating Google Sheet:', error);
}
};
module.exports = {
syncSheetsToDB,
updateLeadInSheet
};
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