190 lines
6.6 KiB
TypeScript
190 lines
6.6 KiB
TypeScript
import { NextResponse } from "next/server";
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import { getDatabase } from "@/lib/db/mongodb";
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export async function GET() {
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try {
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const db = await getDatabase();
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// Récupérer toutes les transactions
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const transactions = await db.collection("transactions").find({}).toArray();
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// Récupérer les conversations pour analyser les connexions utilisateurs
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const conversations = await db.collection("conversations").find({}).toArray();
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// Récupérer les messages pour une analyse plus précise de l'activité
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const messages = await db.collection("messages").find({}).toArray();
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console.log(`Total transactions trouvées: ${transactions.length}`);
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// Vérifier les champs de date disponibles dans les transactions
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if (transactions.length > 0) {
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const sampleTransaction = transactions[0];
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console.log("Exemple de transaction:", {
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_id: sampleTransaction._id,
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createdAt: sampleTransaction.createdAt,
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updatedAt: sampleTransaction.updatedAt,
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date: sampleTransaction.date,
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timestamp: sampleTransaction.timestamp,
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rawAmount: sampleTransaction.rawAmount,
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model: sampleTransaction.model
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});
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}
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// Calculer les tokens par jour (7 derniers jours)
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const dailyStats = [];
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const today = new Date();
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const dayNames = ["Dim", "Lun", "Mar", "Mer", "Jeu", "Ven", "Sam"];
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for (let i = 6; i >= 0; i--) {
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const date = new Date(today);
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date.setDate(date.getDate() - i);
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date.setHours(0, 0, 0, 0);
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const nextDate = new Date(date);
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nextDate.setDate(nextDate.getDate() + 1);
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const dayTransactions = transactions.filter(transaction => {
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// Essayer différents champs de date
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let transactionDate = null;
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if (transaction.createdAt) {
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transactionDate = new Date(transaction.createdAt);
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} else if (transaction.updatedAt) {
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transactionDate = new Date(transaction.updatedAt);
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} else if (transaction.date) {
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transactionDate = new Date(transaction.date);
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} else if (transaction.timestamp) {
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transactionDate = new Date(transaction.timestamp);
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} else if (transaction._id && transaction._id.getTimestamp) {
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// Utiliser le timestamp de l'ObjectId MongoDB
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transactionDate = transaction._id.getTimestamp();
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}
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if (!transactionDate || isNaN(transactionDate.getTime())) {
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return false;
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}
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return transactionDate >= date && transactionDate < nextDate;
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});
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const totalTokens = dayTransactions.reduce((sum, transaction) => {
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// Essayer différents champs pour les tokens
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let tokens = 0;
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if (transaction.rawAmount) {
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tokens = Math.abs(Number(transaction.rawAmount) || 0);
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} else if (transaction.amount) {
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tokens = Math.abs(Number(transaction.amount) || 0);
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} else if (transaction.tokens) {
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tokens = Math.abs(Number(transaction.tokens) || 0);
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}
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return sum + tokens;
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}, 0);
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console.log(`${dayNames[date.getDay()]} (${date.toISOString().split('T')[0]}): ${dayTransactions.length} transactions, ${totalTokens} tokens`);
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dailyStats.push({
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name: dayNames[date.getDay()],
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value: totalTokens
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});
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}
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// Calculer la répartition par modèle (vraies données)
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const modelStats = new Map<string, number>();
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transactions.forEach(transaction => {
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const model = transaction.model || transaction.modelName || "Inconnu";
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let tokens = 0;
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if (transaction.rawAmount) {
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tokens = Math.abs(Number(transaction.rawAmount) || 0);
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} else if (transaction.amount) {
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tokens = Math.abs(Number(transaction.amount) || 0);
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} else if (transaction.tokens) {
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tokens = Math.abs(Number(transaction.tokens) || 0);
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}
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if (tokens > 0) {
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modelStats.set(model, (modelStats.get(model) || 0) + tokens);
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}
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});
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// Convertir en array et trier par usage
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const modelData = Array.from(modelStats.entries())
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.map(([name, value]) => ({ name, value }))
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.sort((a, b) => b.value - a.value);
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// Calculer les connexions utilisateurs par jour (7 derniers jours)
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const dailyConnections = [];
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for (let i = 6; i >= 0; i--) {
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const date = new Date(today);
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date.setDate(date.getDate() - i);
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date.setHours(0, 0, 0, 0);
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const nextDate = new Date(date);
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nextDate.setDate(nextDate.getDate() + 1);
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// Analyser l'activité des utilisateurs via les messages
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const activeUsers = new Set();
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messages.forEach(message => {
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let messageDate = null;
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if (message.createdAt) {
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messageDate = new Date(message.createdAt);
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} else if (message.updatedAt) {
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messageDate = new Date(message.updatedAt);
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} else if (message._id && message._id.getTimestamp) {
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messageDate = message._id.getTimestamp();
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}
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if (messageDate && messageDate >= date && messageDate < nextDate) {
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if (message.user && message.isCreatedByUser) {
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activeUsers.add(message.user);
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}
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}
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});
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// Aussi analyser via les conversations créées ce jour-là
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conversations.forEach(conversation => {
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let convDate = null;
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if (conversation.createdAt) {
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convDate = new Date(conversation.createdAt);
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} else if (conversation.updatedAt) {
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convDate = new Date(conversation.updatedAt);
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} else if (conversation._id && conversation._id.getTimestamp) {
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convDate = conversation._id.getTimestamp();
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}
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if (convDate && convDate >= date && convDate < nextDate) {
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if (conversation.user) {
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activeUsers.add(conversation.user);
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}
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}
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});
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console.log(`${dayNames[date.getDay()]} (${date.toISOString().split('T')[0]}): ${activeUsers.size} utilisateurs actifs`);
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dailyConnections.push({
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name: dayNames[date.getDay()],
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value: activeUsers.size
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});
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}
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console.log("Statistiques calculées:", {
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dailyStats,
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dailyConnections,
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totalModels: modelData.length,
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topModel: modelData[0]
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});
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return NextResponse.json({
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dailyTokens: dailyStats,
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dailyConnections: dailyConnections,
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modelDistribution: modelData
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});
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} catch (error) {
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console.error("Erreur lors du calcul des statistiques:", error);
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return NextResponse.json({ error: "Erreur serveur" }, { status: 500 });
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}
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} |