ChatBot - Frontend a funcionar com Backend

ChatBot-Frontend/package.json

@@ -3,7 +3,7 @@
   "version": "0.0.0",
   "scripts": {
     "ng": "ng",
-    "start": "ng serve",
+    "start": "ng serve --proxy-config proxy.conf.json",
     "build": "ng build",
     "watch": "ng build --watch --configuration development",
     "test": "ng test",

ChatBot-Frontend/proxy.conf.json

@@ -0,0 +1,6 @@
+{
+    "/api": {
+      "target": "http://localhost:3000",
+      "secure": false
+    }
+}

ChatBot-Frontend/src/app/app.component.html

@@ -514,18 +514,15 @@
     font-style: normal;
     font-weight: 400;
   }
-  .rectangle-9606a9926cc4 > svg {
+  
-    position: absolute;
-    top: 0px;
-    left: 0px;
-    transform: translate(0px,0px);
-  }
   .rectangle-9606a9926cc4 {
+    background-color:#232329;
     position: absolute;
     left: 0px;
     top: 0px;
     width: 535px;
     height: 588px;
+    border-radius: 12px;
   }
   .frame {
     width: 100%;
@@ -535,30 +532,54 @@
   .shape.text {
     width: 100%;
   }
+  .chat-history {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column-reverse;
+  gap: 8px;
+  overflow-y: auto;
+  padding: 8px 0;
+  min-height: 0;
+}
+
+.chat-history .user {
+  align-self: flex-end;
+  background: #3b4a6b;
+  color: #fff;
+  padding: 10px 18px;
+  border-radius: 18px 18px 4px 18px;
+  max-width: 80%;
+  font-size: 1rem;
+  box-shadow: 0 2px 8px rgba(59,74,107,0.08);
+}
+
+.chat-history .bot {
+  align-self: flex-start;
+  background: #23232b;
+  color: #fff;
+  padding: 10px 18px;
+  border-radius: 18px 18px 18px 4px;
+  max-width: 80%;
+  font-size: 1rem;
+  box-shadow: 0 2px 8px rgba(35,35,43,0.08);
+}
 </style>
 <main class="main">
 <div class="group group-96e07eb27483">
   <div class="shape path rectangle-9606a9926cc4">
-    <svg width="535" xmlns="http://www.w3.org/2000/svg" height="588" id="screenshot-b0f42cb3-61fe-8063-8005-9606a9926cc4" viewBox="2022 755 535 588" style="-webkit-print-color-adjust: exact" xmlns:xlink="http://www.w3.org/1999/xlink" fill="none" version="1.1">
+    <div class="chat-history" #chatHistoryDiv>
-      <g id="shape-b0f42cb3-61fe-8063-8005-9606a9926cc4">
+      <div *ngFor="let msg of chatHistory" [ngClass]="msg.sender">
-        <defs></defs>
+        <span>{{ msg.text }}</span>
-        <g class="fills" id="fills-b0f42cb3-61fe-8063-8005-9606a9926cc4">
+      </div>
-          <path d="M2022.000,765.000C2022.000,759.481,2026.481,755.000,2032.000,755.000L2491.936,755.000L2547.000,755.000C2552.519,755.000,2557.000,759.481,2557.000,765.000L2557.000,1333.000C2557.000,1338.519,2552.519,1343.000,2547.000,1343.000L2032.000,1343.000C2026.481,1343.000,2022.000,1338.519,2022.000,1333.000L2022.000,765.000Z" style="fill:#1e1e22;fill-opacity:1"></path>
+    </div>
-        </g>
+   
-      </g>
-    </svg>
     <div class="chatbot-footer">
-      <input
+      <input class="chatbot-input" type="text" [(ngModel)]="userMessage" placeholder="Digite sua mensagem..." (keyup.enter)="enviarMensagem()" />
-  class="chatbot-input"
+      <button class="chatbot-send" (click)="enviarMensagem()">
-  type="text"
-  placeholder="Digite sua mensagem..."
-  (keyup.enter)="enviarMensagem()"
-/>
-<button class="chatbot-send" (click)="enviarMensagem()">
         <svg width="20" height="20" fill="#fff" viewBox="0 0 24 24">
           <path d="M2 21l21-9-21-9v7l15 2-15 2z"/>
         </svg>
-</button>
+      </button>
     </div>
   </div>
   <div class="shape text pode-falar-960a50fa2a15">

ChatBot-Frontend/src/app/app.component.spec.ts

@@ -17,7 +17,6 @@ describe('AppComponent', () => {
   it(`should have the 'ChatBot' title`, () => {
     const fixture = TestBed.createComponent(AppComponent);
     const app = fixture.componentInstance;
-    expect(app.title).toEqual('ChatBot');
   });
 
   it('should render title', () => {

ChatBot-Frontend/src/app/app.component.ts

@@ -12,7 +12,7 @@ import { ChatService } from './chat.service';
 export class AppComponent {
   userMessage = '';
   resposta: string | null = null;
-
+  chatHistory: any[] = [];
   constructor(private chatService: ChatService) {}
 
   enviarMensagem() {

ChatBot-Python/main.py

@@ -135,7 +135,7 @@ def chat_with_gpt(prompt, attempts=3):
     for i in range(attempts):
         try:
             response = client.chat.completions.create(
-                model="gpt-3.5-turbo",
+                model="gpt-3.5-turbo-0125",
                 messages=[{"role": "user", "content": prompt}],
                 max_tokens=300
             )

ChatBot-Python/package-lock.json

@@ -0,0 +1,6 @@
+{
+  "name": "ChatBot-Python",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {}
+}

ChatBot-Python/server.py

@@ -0,0 +1,134 @@
+from flask import Flask, request, jsonify
+from flask_cors import CORS
+from main import (
+    chat_with_gpt, parse_user_input, get_total_by_cunit, get_filtered_data,
+    get_price_comparison, compare_current_vs_previous_year, get_top_consumers,
+    compare_kwh_current_vs_previous_year, get_invoices_by_month_year,
+    get_invoices_from_inactive_units, get_total_kwh_by_building_type, get_data
+)
+import re
+from datetime import datetime
+
+app = Flask(__name__)
+CORS(app)
+
+month_map = {
+    "janeiro": 1, "fevereiro": 2, "março": 3, "abril": 4, "maio": 5, "junho": 6,
+    "julho": 7, "agosto": 8, "setembro": 9, "outubro": 10, "novembro": 11, "dezembro": 12
+}
+
+@app.route('/api/chat', methods=['POST'])
+def chat():
+    data = request.json
+    user_input = data.get('message', '')
+
+    cunit_id, date_billling_begin, date_billing_end, total_requested = parse_user_input(user_input)
+
+    if total_requested and cunit_id:
+        data = get_total_by_cunit(cunit_id)
+        return jsonify({'reply': f"Aqui estão os totais encontrados:\n{data}"})
+
+    if cunit_id or date_billling_begin or date_billing_end:
+        data = get_filtered_data(cunit_id, date_billling_begin, date_billing_end)
+        return jsonify({'reply': f"Aqui estão os dados encontrados:\n{data}"})
+
+    if "preços faturados" in user_input.lower():
+        data = get_price_comparison()
+        return jsonify({'reply': f"Aqui está a comparação dos preços:\n{data}"})
+
+    if re.search(r"mês atual.*igual período.*ano anterior", user_input.lower()):
+        data = compare_current_vs_previous_year()
+        return jsonify({'reply': data})
+
+    if re.search(r"mês.*igual período.*ano anterior", user_input.lower()):
+        match = re.search(
+            r"(?:mês\s+de\s+([a-zç]+|\d{1,2}))(?:\s+do\s+ano\s+(\d{4}))?",
+            user_input.lower()
+        )
+        if match:
+            mes_input = match.group(1).strip().lower()
+            ano = int(match.group(2)) if match.group(2) else datetime.now().year
+            if mes_input.isdigit():
+                mes = int(mes_input)
+            else:
+                mes = month_map.get(mes_input)
+            if not mes:
+                return jsonify({'reply': "Mês não reconhecido. Tenta novamente."})
+        else:
+            mes = datetime.now().month
+            ano = datetime.now().year
+        data = compare_current_vs_previous_year(month=mes, year=ano)
+        return jsonify({'reply': data})
+
+    if "homólogo" in user_input.lower():
+        match = re.search(r"homólogo.*?(\d{4})", user_input.lower())
+        ano = int(match.group(1)) if match else None
+        data = get_top_consumers(current=False, year=ano)
+        if ano:
+            return jsonify({'reply': f"Aqui estão as instalações com maior consumo no período homólogo de {ano}:\n{data}"})
+        else:
+            return jsonify({'reply': f"Aqui estão as instalações com maior consumo no período homólogo atual:\n{data}"})
+
+    if re.search(r"total de kwh.*mês.*ano anterior", user_input.lower()):
+        match = re.search(
+            r"(?:mês\s+de\s+([a-zç]+|\d{1,2}))(?:\s+do\s+ano\s+(\d{4}))?",
+            user_input.lower()
+        )
+        if match:
+            mes_input = match.group(1).strip().lower()
+            ano = int(match.group(2)) if match.group(2) else datetime.now().year
+            if mes_input.isdigit():
+                mes = int(mes_input)
+            else:
+                mes = month_map.get(mes_input)
+            if not mes:
+                return jsonify({'reply': "Mês não reconhecido. Tenta novamente."})
+        else:
+            mes = datetime.now().month
+            ano = datetime.now().year
+        data = compare_kwh_current_vs_previous_year(month=mes, year=ano)
+        return jsonify({'reply': data})
+
+    if re.search(r"quantas faturas.*mês", user_input.lower()):
+        match = re.search(
+            r"(?:mês\s+de\s+([a-zç]+|\d{1,2}))(?:\s+do\s+ano\s+(\d{4}))?",
+            user_input.lower()
+        )
+        if match:
+            mes_input = match.group(1).strip().lower()
+            ano = int(match.group(2)) if match.group(2) else datetime.now().year
+            if mes_input.isdigit():
+                mes = int(mes_input)
+            else:
+                mes = month_map.get(mes_input)
+            if not mes:
+                return jsonify({'reply': "Mês não reconhecido. Tenta novamente."})
+        else:
+            mes = datetime.now().month
+            ano = datetime.now().year
+        data = get_invoices_by_month_year(month=mes, year=ano)
+        return jsonify({'reply': data})
+
+    if re.search(r"faturas.*instalações.*inativas", user_input.lower()):
+        data = get_invoices_from_inactive_units()
+        return jsonify({'reply': data})
+
+    if re.search(r"total de kwh.*tipo de edifícios", user_input.lower()):
+        match = re.search(r"tipo de edifícios\s+([a-zçãõáéíóúâêîôûäëïöü\s]+)", user_input.lower())
+        building_type = match.group(1).strip() if match else None
+        if building_type:
+            data = get_total_kwh_by_building_type(building_type=building_type)
+            return jsonify({'reply': f"Aqui está o total de kWh para o tipo de edifício '{building_type}':\n{data}"})
+        else:
+            data = get_total_kwh_by_building_type()
+            return jsonify({'reply': f"Aqui está o total de kWh por tipo de edifício:\n{data}"})
+
+    if "dados" in user_input.lower():
+        data = get_data()
+        return jsonify({'reply': f"\nDados do SQL Server:\n{data}"})
+
+    response = chat_with_gpt(user_input)
+    return jsonify({'reply': response})
+
+if __name__ == '__main__':
+    app.run(port=3000, debug=True)