ChatBot - Frontend

This commit is contained in:
Ricardo Cunha 2025-05-12 18:24:27 +01:00
commit 00c66742f6
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# Editor configuration, see https://editorconfig.org
root = true
[*]
charset = utf-8
indent_style = space
indent_size = 2
insert_final_newline = true
trim_trailing_whitespace = true
[*.ts]
quote_type = single
[*.md]
max_line_length = off
trim_trailing_whitespace = false

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# See https://docs.github.com/get-started/getting-started-with-git/ignoring-files for more about ignoring files.
# Compiled output
/dist
/tmp
/out-tsc
/bazel-out
# Node
/node_modules
npm-debug.log
yarn-error.log
# IDEs and editors
.idea/
.project
.classpath
.c9/
*.launch
.settings/
*.sublime-workspace
# Visual Studio Code
.vscode/*
!.vscode/settings.json
!.vscode/tasks.json
!.vscode/launch.json
!.vscode/extensions.json
.history/*
# Miscellaneous
/.angular/cache
.sass-cache/
/connect.lock
/coverage
/libpeerconnection.log
testem.log
/typings
# System files
.DS_Store
Thumbs.db

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{
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=827846
"recommendations": ["angular.ng-template"]
}

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{
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "ng serve",
"type": "chrome",
"request": "launch",
"preLaunchTask": "npm: start",
"url": "http://localhost:4200/"
},
{
"name": "ng test",
"type": "chrome",
"request": "launch",
"preLaunchTask": "npm: test",
"url": "http://localhost:9876/debug.html"
}
]
}

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{
// For more information, visit: https://go.microsoft.com/fwlink/?LinkId=733558
"version": "2.0.0",
"tasks": [
{
"type": "npm",
"script": "start",
"isBackground": true,
"problemMatcher": {
"owner": "typescript",
"pattern": "$tsc",
"background": {
"activeOnStart": true,
"beginsPattern": {
"regexp": "(.*?)"
},
"endsPattern": {
"regexp": "bundle generation complete"
}
}
}
},
{
"type": "npm",
"script": "test",
"isBackground": true,
"problemMatcher": {
"owner": "typescript",
"pattern": "$tsc",
"background": {
"activeOnStart": true,
"beginsPattern": {
"regexp": "(.*?)"
},
"endsPattern": {
"regexp": "bundle generation complete"
}
}
}
}
]
}

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# ChatBot
This project was generated with [Angular CLI](https://github.com/angular/angular-cli) version 17.3.17.
## Development server
Run `ng serve` for a dev server. Navigate to `http://localhost:4200/`. The application will automatically reload if you change any of the source files.
## Code scaffolding
Run `ng generate component component-name` to generate a new component. You can also use `ng generate directive|pipe|service|class|guard|interface|enum|module`.
## Build
Run `ng build` to build the project. The build artifacts will be stored in the `dist/` directory.
## Running unit tests
Run `ng test` to execute the unit tests via [Karma](https://karma-runner.github.io).
## Running end-to-end tests
Run `ng e2e` to execute the end-to-end tests via a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.
## Further help
To get more help on the Angular CLI use `ng help` or go check out the [Angular CLI Overview and Command Reference](https://angular.io/cli) page.

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{
"$schema": "./node_modules/@angular/cli/lib/config/schema.json",
"version": 1,
"newProjectRoot": "projects",
"projects": {
"ChatBot": {
"projectType": "application",
"schematics": {},
"root": "",
"sourceRoot": "src",
"prefix": "app",
"architect": {
"build": {
"builder": "@angular-devkit/build-angular:application",
"options": {
"outputPath": "dist/chat-bot",
"index": "src/index.html",
"browser": "src/main.ts",
"polyfills": [
"zone.js"
],
"tsConfig": "tsconfig.app.json",
"assets": [
"src/favicon.ico",
"src/assets"
],
"styles": [
"src/styles.css"
],
"scripts": [],
"server": "src/main.server.ts",
"prerender": true,
"ssr": {
"entry": "server.ts"
}
},
"configurations": {
"production": {
"budgets": [
{
"type": "initial",
"maximumWarning": "500kb",
"maximumError": "1mb"
},
{
"type": "anyComponentStyle",
"maximumWarning": "2kb",
"maximumError": "4kb"
}
],
"outputHashing": "all"
},
"development": {
"optimization": false,
"extractLicenses": false,
"sourceMap": true
}
},
"defaultConfiguration": "production"
},
"serve": {
"builder": "@angular-devkit/build-angular:dev-server",
"configurations": {
"production": {
"buildTarget": "ChatBot:build:production"
},
"development": {
"buildTarget": "ChatBot:build:development"
}
},
"defaultConfiguration": "development"
},
"extract-i18n": {
"builder": "@angular-devkit/build-angular:extract-i18n",
"options": {
"buildTarget": "ChatBot:build"
}
},
"test": {
"builder": "@angular-devkit/build-angular:karma",
"options": {
"polyfills": [
"zone.js",
"zone.js/testing"
],
"tsConfig": "tsconfig.spec.json",
"assets": [
"src/favicon.ico",
"src/assets"
],
"styles": [
"src/styles.css"
],
"scripts": []
}
}
}
}
}
}

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{
"name": "chat-bot",
"version": "0.0.0",
"scripts": {
"ng": "ng",
"start": "ng serve",
"build": "ng build",
"watch": "ng build --watch --configuration development",
"test": "ng test",
"serve:ssr:ChatBot": "node dist/chat-bot/server/server.mjs"
},
"private": true,
"dependencies": {
"@angular/animations": "^17.3.0",
"@angular/common": "^17.3.0",
"@angular/compiler": "^17.3.0",
"@angular/core": "^17.3.0",
"@angular/forms": "^17.3.0",
"@angular/platform-browser": "^17.3.0",
"@angular/platform-browser-dynamic": "^17.3.0",
"@angular/platform-server": "^17.3.0",
"@angular/router": "^17.3.0",
"@angular/ssr": "^17.3.17",
"express": "^4.18.2",
"rxjs": "~7.8.0",
"tslib": "^2.3.0",
"zone.js": "~0.14.3"
},
"devDependencies": {
"@angular-devkit/build-angular": "^17.3.17",
"@angular/cli": "^17.3.17",
"@angular/compiler-cli": "^17.3.0",
"@types/express": "^4.17.17",
"@types/jasmine": "~5.1.0",
"@types/node": "^18.18.0",
"jasmine-core": "~5.1.0",
"karma": "~6.4.0",
"karma-chrome-launcher": "~3.2.0",
"karma-coverage": "~2.2.0",
"karma-jasmine": "~5.1.0",
"karma-jasmine-html-reporter": "~2.1.0",
"typescript": "~5.4.2"
}
}

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import { APP_BASE_HREF } from '@angular/common';
import { CommonEngine } from '@angular/ssr';
import express from 'express';
import { fileURLToPath } from 'node:url';
import { dirname, join, resolve } from 'node:path';
import bootstrap from './src/main.server';
// The Express app is exported so that it can be used by serverless Functions.
export function app(): express.Express {
const server = express();
const serverDistFolder = dirname(fileURLToPath(import.meta.url));
const browserDistFolder = resolve(serverDistFolder, '../browser');
const indexHtml = join(serverDistFolder, 'index.server.html');
const commonEngine = new CommonEngine();
server.set('view engine', 'html');
server.set('views', browserDistFolder);
// Example Express Rest API endpoints
// server.get('/api/**', (req, res) => { });
// Serve static files from /browser
server.get('*.*', express.static(browserDistFolder, {
maxAge: '1y'
}));
// All regular routes use the Angular engine
server.get('*', (req, res, next) => {
const { protocol, originalUrl, baseUrl, headers } = req;
commonEngine
.render({
bootstrap,
documentFilePath: indexHtml,
url: `${protocol}://${headers.host}${originalUrl}`,
publicPath: browserDistFolder,
providers: [{ provide: APP_BASE_HREF, useValue: baseUrl }],
})
.then((html) => res.send(html))
.catch((err) => next(err));
});
return server;
}
function run(): void {
const port = process.env['PORT'] || 4000;
// Start up the Node server
const server = app();
server.listen(port, () => {
console.log(`Node Express server listening on http://localhost:${port}`);
});
}
run();

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<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<!-- * * * * * * * * * * * The content below * * * * * * * * * * * -->
<!-- * * * * * * * * * * is only a placeholder * * * * * * * * * * -->
<!-- * * * * * * * * * * and can be replaced. * * * * * * * * * * -->
<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<!-- * * * * * * * * * Delete the template below * * * * * * * * * -->
<!-- * * * * * * * to get started with your project! * * * * * * * -->
<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<style>
:host {
--bright-blue: oklch(51.01% 0.274 263.83);
--electric-violet: oklch(53.18% 0.28 296.97);
--french-violet: oklch(47.66% 0.246 305.88);
--vivid-pink: oklch(69.02% 0.277 332.77);
--hot-red: oklch(61.42% 0.238 15.34);
--orange-red: oklch(63.32% 0.24 31.68);
--gray-900: oklch(19.37% 0.006 300.98);
--gray-700: oklch(36.98% 0.014 302.71);
--gray-400: oklch(70.9% 0.015 304.04);
--red-to-pink-to-purple-vertical-gradient: linear-gradient(
180deg,
var(--orange-red) 0%,
var(--vivid-pink) 50%,
var(--electric-violet) 100%
);
--red-to-pink-to-purple-horizontal-gradient: linear-gradient(
90deg,
var(--orange-red) 0%,
var(--vivid-pink) 50%,
var(--electric-violet) 100%
);
--pill-accent: var(--bright-blue);
font-family: "Inter", -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji",
"Segoe UI Symbol";
box-sizing: border-box;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
h1 {
font-size: 3.125rem;
color: var(--gray-900);
font-weight: 500;
line-height: 100%;
letter-spacing: -0.125rem;
margin: 0;
font-family: "Inter Tight", -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji",
"Segoe UI Symbol";
}
p {
margin: 0;
color: var(--gray-700);
}
main {
width: 100%;
min-height: 100%;
display: flex;
justify-content: center;
align-items: center;
padding: 1rem;
box-sizing: inherit;
position: relative;
}
.angular-logo {
max-width: 9.2rem;
}
.content {
display: flex;
justify-content: space-around;
width: 100%;
max-width: 700px;
margin-bottom: 3rem;
}
.content h1 {
margin-top: 1.75rem;
}
.content p {
margin-top: 1.5rem;
}
.divider {
width: 1px;
background: var(--red-to-pink-to-purple-vertical-gradient);
margin-inline: 0.5rem;
}
.pill-group {
display: flex;
flex-direction: column;
align-items: start;
flex-wrap: wrap;
gap: 1.25rem;
}
.pill {
display: flex;
align-items: center;
--pill-accent: var(--bright-blue);
background: color-mix(in srgb, var(--pill-accent) 5%, transparent);
color: var(--pill-accent);
padding-inline: 0.75rem;
padding-block: 0.375rem;
border-radius: 2.75rem;
border: 0;
transition: background 0.3s ease;
font-family: var(--inter-font);
font-size: 0.875rem;
font-style: normal;
font-weight: 500;
line-height: 1.4rem;
letter-spacing: -0.00875rem;
text-decoration: none;
}
.pill:hover {
background: color-mix(in srgb, var(--pill-accent) 15%, transparent);
}
.pill-group .pill:nth-child(6n + 1) {
--pill-accent: var(--bright-blue);
}
.pill-group .pill:nth-child(6n + 2) {
--pill-accent: var(--french-violet);
}
.pill-group .pill:nth-child(6n + 3),
.pill-group .pill:nth-child(6n + 4),
.pill-group .pill:nth-child(6n + 5) {
--pill-accent: var(--hot-red);
}
.pill-group svg {
margin-inline-start: 0.25rem;
}
.social-links {
display: flex;
align-items: center;
gap: 0.73rem;
margin-top: 1.5rem;
}
.social-links path {
transition: fill 0.3s ease;
fill: var(--gray-400);
}
.social-links a:hover svg path {
fill: var(--gray-900);
}
@media screen and (max-width: 650px) {
.content {
flex-direction: column;
width: max-content;
}
.divider {
height: 1px;
width: 100%;
background: var(--red-to-pink-to-purple-horizontal-gradient);
margin-block: 1.5rem;
}
}
</style>
<main class="main">
<div class="content">
<div class="left-side">
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 982 239"
fill="none"
class="angular-logo"
>
<g clip-path="url(#a)">
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<h1>Hello, {{ title }}</h1>
<p>Congratulations! Your app is running. 🎉</p>
</div>
<div class="divider" role="separator" aria-label="Divider"></div>
<div class="right-side">
<div class="pill-group">
@for (item of [
{ title: 'Explore the Docs', link: 'https://angular.dev' },
{ title: 'Learn with Tutorials', link: 'https://angular.dev/tutorials' },
{ title: 'CLI Docs', link: 'https://angular.dev/tools/cli' },
{ title: 'Angular Language Service', link: 'https://angular.dev/tools/language-service' },
{ title: 'Angular DevTools', link: 'https://angular.dev/tools/devtools' },
]; track item.title) {
<a
class="pill"
[href]="item.link"
target="_blank"
rel="noopener"
>
<span>{{ item.title }}</span>
<svg
xmlns="http://www.w3.org/2000/svg"
height="14"
viewBox="0 -960 960 960"
width="14"
fill="currentColor"
>
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</a>
}
</div>
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<a
href="https://github.com/angular/angular"
aria-label="Github"
target="_blank"
rel="noopener"
>
<svg
width="25"
height="24"
viewBox="0 0 25 24"
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<a
href="https://twitter.com/angular"
aria-label="Twitter"
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rel="noopener"
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<svg
width="24"
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viewBox="0 0 24 24"
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<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<!-- * * * * * * * * * * * The content above * * * * * * * * * * * * -->
<!-- * * * * * * * * * * is only a placeholder * * * * * * * * * * * -->
<!-- * * * * * * * * * * and can be replaced. * * * * * * * * * * * -->
<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<!-- * * * * * * * * * * End of Placeholder * * * * * * * * * * * * -->
<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<router-outlet />

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@ -0,0 +1,29 @@
import { TestBed } from '@angular/core/testing';
import { AppComponent } from './app.component';
describe('AppComponent', () => {
beforeEach(async () => {
await TestBed.configureTestingModule({
imports: [AppComponent],
}).compileComponents();
});
it('should create the app', () => {
const fixture = TestBed.createComponent(AppComponent);
const app = fixture.componentInstance;
expect(app).toBeTruthy();
});
it(`should have the 'ChatBot' title`, () => {
const fixture = TestBed.createComponent(AppComponent);
const app = fixture.componentInstance;
expect(app.title).toEqual('ChatBot');
});
it('should render title', () => {
const fixture = TestBed.createComponent(AppComponent);
fixture.detectChanges();
const compiled = fixture.nativeElement as HTMLElement;
expect(compiled.querySelector('h1')?.textContent).toContain('Hello, ChatBot');
});
});

View File

@ -0,0 +1,13 @@
import { Component } from '@angular/core';
import { RouterOutlet } from '@angular/router';
@Component({
selector: 'app-root',
standalone: true,
imports: [RouterOutlet],
templateUrl: './app.component.html',
styleUrl: './app.component.css'
})
export class AppComponent {
title = 'ChatBot';
}

View File

@ -0,0 +1,11 @@
import { mergeApplicationConfig, ApplicationConfig } from '@angular/core';
import { provideServerRendering } from '@angular/platform-server';
import { appConfig } from './app.config';
const serverConfig: ApplicationConfig = {
providers: [
provideServerRendering()
]
};
export const config = mergeApplicationConfig(appConfig, serverConfig);

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@ -0,0 +1,9 @@
import { ApplicationConfig } from '@angular/core';
import { provideRouter } from '@angular/router';
import { routes } from './app.routes';
import { provideClientHydration } from '@angular/platform-browser';
export const appConfig: ApplicationConfig = {
providers: [provideRouter(routes), provideClientHydration()]
};

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@ -0,0 +1,3 @@
import { Routes } from '@angular/router';
export const routes: Routes = [];

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After

Width:  |  Height:  |  Size: 15 KiB

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@ -0,0 +1,13 @@
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>ChatBot</title>
<base href="/">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="icon" type="image/x-icon" href="favicon.ico">
</head>
<body>
<app-root></app-root>
</body>
</html>

View File

@ -0,0 +1,7 @@
import { bootstrapApplication } from '@angular/platform-browser';
import { AppComponent } from './app/app.component';
import { config } from './app/app.config.server';
const bootstrap = () => bootstrapApplication(AppComponent, config);
export default bootstrap;

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@ -0,0 +1,6 @@
import { bootstrapApplication } from '@angular/platform-browser';
import { appConfig } from './app/app.config';
import { AppComponent } from './app/app.component';
bootstrapApplication(AppComponent, appConfig)
.catch((err) => console.error(err));

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@ -0,0 +1 @@
/* You can add global styles to this file, and also import other style files */

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@ -0,0 +1,18 @@
/* To learn more about this file see: https://angular.io/config/tsconfig. */
{
"extends": "./tsconfig.json",
"compilerOptions": {
"outDir": "./out-tsc/app",
"types": [
"node"
]
},
"files": [
"src/main.ts",
"src/main.server.ts",
"server.ts"
],
"include": [
"src/**/*.d.ts"
]
}

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@ -0,0 +1,32 @@
/* To learn more about this file see: https://angular.io/config/tsconfig. */
{
"compileOnSave": false,
"compilerOptions": {
"outDir": "./dist/out-tsc",
"strict": true,
"noImplicitOverride": true,
"noPropertyAccessFromIndexSignature": true,
"noImplicitReturns": true,
"noFallthroughCasesInSwitch": true,
"skipLibCheck": true,
"esModuleInterop": true,
"sourceMap": true,
"declaration": false,
"experimentalDecorators": true,
"moduleResolution": "node",
"importHelpers": true,
"target": "ES2022",
"module": "ES2022",
"useDefineForClassFields": false,
"lib": [
"ES2022",
"dom"
]
},
"angularCompilerOptions": {
"enableI18nLegacyMessageIdFormat": false,
"strictInjectionParameters": true,
"strictInputAccessModifiers": true,
"strictTemplates": true
}
}

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@ -0,0 +1,14 @@
/* To learn more about this file see: https://angular.io/config/tsconfig. */
{
"extends": "./tsconfig.json",
"compilerOptions": {
"outDir": "./out-tsc/spec",
"types": [
"jasmine"
]
},
"include": [
"src/**/*.spec.ts",
"src/**/*.d.ts"
]
}

5
ChatBot-Python/.env Normal file
View File

@ -0,0 +1,5 @@
OPENAI_API_KEY=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
DB_SERVER=TECHX-DEV1\SQLENERGYMSDEV # Exemplo: localhost\SQLEXPRESS
DB_NAME=EnergyMS_CMBarcelos
DB_USER=sa # Deixa vazio se usares autenticação Windows
DB_PASSWORD=EnergyMS+DEV # Deixa vazio se usares autenticação Windows

97
ChatBot-Python/debug.py Normal file
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@ -0,0 +1,97 @@
import fitz
import os
from openai import OpenAI
from dotenv import load_dotenv
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_openai import OpenAIEmbeddings
from langchain_community.vectorstores import FAISS
load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")
client = OpenAI(api_key=api_key)
def extract_text_from_pdf(pdf_path):
text = ""
with fitz.open(pdf_path) as doc:
for page in doc:
text += page.get_text("text") + "\n"
return text
def criarChunk(texto):
text_splitter = RecursiveCharacterTextSplitter(
chunk_size=500,
chunk_overlap=50,
length_function=len
)
return text_splitter.split_text(texto)
def create_faiss_index(chunks, embeddings):
vector_store = FAISS.from_texts(chunks, embeddings) # Criar índice FAISS
return vector_store
def search_faiss(vector_store, query, embeddings, top_k=3):
query_embedding = embeddings.embed_query(query) # Gerar embedding da pergunta
docs = vector_store.similarity_search(query, k=top_k) # Procurar no FAISS
return docs
def debug_embeddings(chunks, embeddings):
embeddings_list = embeddings.embed_documents(chunks)
print(f"\n DEBUG: Embeddings Gerados")
print(f"Número total de chunks: {len(chunks)}")
print(f"Número total de embeddings: {len(embeddings_list)}")
if embeddings_list:
print(f"Tamanho do primeiro embedding: {len(embeddings_list[0])}")
print("\n Exemplo de Chunk e seu Embedding:")
print(f"Chunk: {chunks[0]}")
print(f"Embedding (primeiros 10 valores): {embeddings_list[0][:10]}")
def debug_faiss(vector_store, query, embeddings, top_k=3):
query_embedding = embeddings.embed_query(query)
print(f"\n DEBUG: Tamanho do vetor da pergunta: {len(query_embedding)}")
docs = vector_store.similarity_search(query, k=top_k)
print("\n DEBUG: Resultados da busca FAISS")
print(f"Número de chunks retornados: {len(docs)}")
for i, doc in enumerate(docs):
print(f"\n Chunk {i+1}:")
print(doc.page_content[:200]) # Mostra os primeiros 200 caracteres do chunk
def generate_response(query, vector_store, embeddings):
docs = search_faiss(vector_store, query, embeddings)
context = "\n".join([doc.page_content for doc in docs])
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "Use o contexto abaixo para responder."},
{"role": "system", "content": context},
{"role": "user", "content": query}
]
)
return response.choices[0].message.content
pdf_file = "teste.pdf"
texto_extraido = extract_text_from_pdf(pdf_file)
chunks = criarChunk(texto_extraido)
embeddings = OpenAIEmbeddings()
debug_embeddings(chunks, embeddings)
vector_store = create_faiss_index(chunks, embeddings)
debug_faiss(vector_store, "Exemplo de pesquisa", embeddings)
print("Chatbot: Olá! Como te posso ajudar?")
while True:
user_input = input("Você: ")
if user_input.lower() in ["sair", "exit", "quit"]:
print("Chatbot: Até logo!")
break
debug_faiss(vector_store, user_input, embeddings)
resposta = generate_response(user_input, vector_store, embeddings)
print("Chatbot:", resposta)

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@ -0,0 +1,13 @@
import openai
import os
from dotenv import load_dotenv
load_dotenv()
openai.api_key = os.getenv("OPENAI_API_KEY")
try:
response = openai.models.list()
print("API funciona!")
except openai.OpenAIError as e:
print("Erro ao conectar a API:", e)

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@ -0,0 +1,643 @@
import openai
import os
import time
import pyodbc
import json
import re
from dotenv import load_dotenv
from datetime import datetime
load_dotenv()
client = openai.OpenAI(api_key=os.getenv('OPENAI_API_KEY'))
def connect_db():
try:
conn = pyodbc.connect(
"DRIVER={ODBC Driver 17 for SQL Server};"
f"SERVER={os.getenv('DB_SERVER')};"
f"DATABASE={os.getenv('DB_NAME')};"
f"UID={os.getenv('DB_USER')};"
f"PWD={os.getenv('DB_PASSWORD')};"
)
return conn
except Exception as e:
print(f"Erro ao conectar à base de dados: {e}")
return None
def get_data(atributes=None, limit=20):
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
with conn.cursor() as cursor:
if atributes:
query = f"SELECT TOP {limit} * FROM CUnitBills WHERE Number LIKE ? ORDER BY Id ASC"
cursor.execute(query, (f"%{atributes}%",))
else:
query = f"SELECT TOP {limit} * FROM CUnitBills ORDER BY Id ASC "
cursor.execute(query)
columns = [column[0] for column in cursor.description]
rows = [dict(zip(columns, row)) for row in cursor.fetchall()]
if rows:
formatted_rows = "\n\n".join([
"\n".join([f"- **{column}**: {row[column]}" for column in columns]) for row in rows
])
return formatted_rows
return "Nenhum dado encontrado."
except Exception as e:
return f"Erro ao buscar dados: {e}"
finally:
conn.close()
def get_filtered_data(cunit_id=None, date_billling_begin=None, date_billing_end=None, limit=2):
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
with conn.cursor() as cursor:
query = f"""
SELECT TOP {limit} cb.CUnitId, cu.DisplayName, cu.Address, cb.DateBilllingBegin, cb.DateBillingEnd
From CUnitBills cb
Join CUnits cu ON cb.CUnitId = cu.id
"""
conditions = []
params = []
if cunit_id is not None:
conditions.append("cb.CUnitId = ?")
params.append(cunit_id)
if date_billling_begin :
conditions.append("cb.DateBilllingBegin >= ?")
params.append(date_billling_begin)
if date_billing_end :
conditions.append("cb.DateBillingEnd = ?")
params.append(date_billing_end)
if conditions:
query += " WHERE " + " AND ".join(conditions)
query += " ORDER BY cb.Id ASC"
#print("Query Final:", query) # Para debugging
#print("Parâmetros SQL:", params)
cursor.execute(query, params)
columns = [column[0] for column in cursor.description]
rows = [dict(zip(columns, row)) for row in cursor.fetchall()]
if rows:
formatted_rows = "\n\n".join([
"\n".join([f"- **{column}**: {row[column]}" for column in columns]) for row in rows
])
return formatted_rows
return "Nenhum dado encontrado."
except Exception as e:
return "Erro ao buscar dados. Verifique os critérios e tente novamente."
finally:
conn.close()
def parse_user_input(user_input):
cunit_id = None
date_billling_begin = None
date_billing_end = None
total_requested = False
match_cunit_id = re.search(r"CUnitId\s*(?:de)?\s*(\d+)", user_input, re.IGNORECASE)
match_date_billling_begin = re.search(r"DateBilllingBegin\s*(?:maior que|>=?)\s*([\d]{4}-[\d]{2}-[\d]{2})", user_input, re.IGNORECASE)
match_date_billing_end = re.search(r"DateBillingEnd\s*(?:igual a|=)\s*([\d]{4}-[\d]{2}-[\d]{2})", user_input, re.IGNORECASE)
match_total = re.search(r"total\s+do\s+.*?CUnitId\s*(\d+)", user_input, re.IGNORECASE)
if match_cunit_id:
cunit_id = int(match_cunit_id.group(1))
if match_date_billling_begin:
date_billling_begin = match_date_billling_begin.group(1).strip()
if match_date_billing_end:
date_billing_end = match_date_billing_end.group(1).strip()
if match_total:
total_requested = True
return cunit_id, date_billling_begin, date_billing_end, total_requested
def chat_with_gpt(prompt, attempts=3):
for i in range(attempts):
try:
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": prompt}],
max_tokens=300
)
return response.choices[0].message.content.strip()
except openai.RateLimitError:
if i < attempts - 1:
print("Limite de requisições atingido! Tentando novamente...")
time.sleep(10)
else:
return "Erro: Limite de requisições atingido várias vezes. Tente novamente mais tarde."
except Exception as e:
return f"Erro genérico com a API OpenAI: {type(e).__name__} - {e}"
def get_price_comparison():
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
cursor = conn.cursor()
query = """
SELECT
cb.CUnitId,
cu.DisplayName,
cbi.UnitPrice AS PrecoFaturado,
tp.EnergyPrice AS PrecoContratualizado,
(cbi.UnitPrice - tp.EnergyPrice) AS Diferenca
FROM CUnitBillItems cbi
JOIN CUnitBills cb ON cbi.BillId = cb.Id
JOIN CUnits cu ON cb.CUnitId = cu.Id
JOIN TariffPrices tp ON cbi.ProductsId = tp.ProductId
ORDER BY Diferenca DESC;
"""
# futuro:
# CASE WHEN tp.EnergyPrice != 0 THEN ((cbi.UnitPrice - tp.EnergyPrice) / tp.EnergyPrice) * 100 ELSE NULL END AS Percentual
cursor.execute(query)
rows = cursor.fetchall()
conn.close()
if rows:
return "\n".join([f"- {row}" for row in rows])
return "Nenhum dado encontrado."
except Exception as e:
conn.close()
return f"Erro ao buscar dados: {e}"
def get_top_consumers_by_month_year(month=None, year = None):
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
cursor = conn.cursor()
now = datetime.now()
month = month or now.month
year = year or now.year
query = """
SELECT TOP 4
cb.CUnitId,
cu.DisplayName,
SUM(cbi.Quantity) AS ConsumoTotal
FROM CUnitBillItems cbi
JOIN CUnitBills cb ON cbi.BillId = cb.Id
JOIN CUnits cu ON cb.CUnitId = cu.Id
WHERE YEAR(cb.DateBilllingBegin) = ?
AND MONTH(cb.DateBilllingBegin) = ?
GROUP BY cb.CUnitId, cu.DisplayName
ORDER BY ConsumoTotal DESC;
"""
cursor.execute(query, (year, month))
rows = cursor.fetchall()
conn.close()
if rows:
return "\n".join([f"- {row}" for row in rows])
return "Nenhum dado encontrado."
except Exception as e:
conn.close()
return f"Erro ao buscar dados: {e}"
def get_top_consumers(current=True, year=None):
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
cursor = conn.cursor()
if current:
query = """
SELECT TOP 4
cb.CUnitId,
cu.DisplayName,
SUM(cbi.Quantity) AS ConsumoTotal
FROM CUnitBillItems cbi
JOIN CUnitBills cb ON cbi.BillId = cb.Id
JOIN CUnits cu ON cb.CUnitId = cu.Id
WHERE YEAR(cb.DateBilllingBegin) = YEAR(GETDATE())
AND MONTH(cb.DateBilllingBegin) = MONTH(GETDATE())
GROUP BY cb.CUnitId, cu.DisplayName
ORDER BY ConsumoTotal DESC;
"""
cursor.execute(query)
else:
if year:
query = """
SELECT TOP 4
cb.CUnitId,
cu.DisplayName,
SUM(cbi.Quantity) AS ConsumoTotal
FROM CUnitBillItems cbi
JOIN CUnitBills cb ON cbi.BillId = cb.Id
JOIN CUnits cu ON cb.CUnitId = cu.Id
WHERE YEAR(cb.DateBilllingBegin) = ?
AND MONTH(cb.DateBilllingBegin) BETWEEN 1 AND 4
GROUP BY cb.CUnitId, cu.DisplayName
ORDER BY ConsumoTotal DESC;
"""
cursor.execute(query, (year,))
else:
query = """
SELECT TOP 4
cb.CUnitId,
cu.DisplayName,
SUM(cbi.Quantity) AS ConsumoTotal
FROM CUnitBillItems cbi
JOIN CUnitBills cb ON cbi.BillId = cb.Id
JOIN CUnits cu ON cb.CUnitId = cu.Id
WHERE MONTH(cb.DateBilllingBegin) BETWEEN 1 AND 4
GROUP BY cb.CUnitId, cu.DisplayName
ORDER BY ConsumoTotal DESC;
"""
cursor.execute(query)
rows = cursor.fetchall()
conn.close()
if rows:
return "\n".join([f"- {row}" for row in rows])
return "Nenhum dado encontrado."
except Exception as e:
conn.close()
return f"Erro ao buscar dados: {e}"
def get_total_by_cunit(cunit_id, limit=10):
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
with conn.cursor() as cursor:
query = f"""
SELECT TOP {limit} cb.Total
FROM CUnitBills cb
WHERE cb.CUnitId = ?
ORDER BY cb.Id ASC
"""
cursor.execute(query, (cunit_id,))
rows = cursor.fetchall()
if rows:
totals = "\n".join([f"- **Total**: {row[0]}" for row in rows])
return totals
return "Nenhum total encontrado para esse CUnitId."
except Exception as e:
return f"Erro ao buscar totais: {e}"
finally:
conn.close()
def compare_current_vs_previous_year(month=None, year=None):
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
with conn.cursor() as cursor:
now = datetime.now()
month = month or now.month
year = year or now.year
query_current = """
SELECT SUM(cb.Total) AS TotalAtual
FROM CUnitBills cb
WHERE YEAR(cb.DateBilllingBegin) = ?
AND MONTH(cb.DateBilllingBegin) = ?
"""
cursor.execute(query_current, (year, month))
total_atual = cursor.fetchone()[0] or 0
query_previous = """
SELECT SUM(cb.Total) AS TotalAnterior
FROM CUnitBills cb
WHERE YEAR(cb.DateBilllingBegin) = ?
AND MONTH(cb.DateBilllingBegin) = ?
"""
cursor.execute(query_previous, (year - 1, month))
total_anterior = cursor.fetchone()[0] or 0
if total_atual > total_anterior:
return f"Estamos a pagar mais em {month:02}/{year} ({total_atual:.2f}) do que no mesmo período do ano passado ({total_anterior:.2f})."
elif total_atual < total_anterior:
return f"Estamos a pagar menos em {month:02}/{year} ({total_atual:.2f}) do que no mesmo período do ano passado ({total_anterior:.2f})."
else:
return f"Estamos a pagar exatamente o mesmo em {month:02}/{year} que no mesmo período do ano passado."
except Exception as e:
return f"Erro ao comparar os totais: {e}"
finally:
conn.close()
def compare_kwh_current_vs_previous_year(month=None, year=None):
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
with conn.cursor() as cursor:
now = datetime.now()
month = month or now.month
year = year or now.year
query_current = """
SELECT SUM(cbi.Quantity) AS TotalAtual
FROM CUnitBillItems cbi
JOIN CUnitBills cb ON cbi.BillId = cb.Id
WHERE YEAR(cb.DateBilllingBegin) = ?
AND MONTH(cb.DateBilllingBegin) = ?
"""
cursor.execute(query_current, (year, month))
total_atual = cursor.fetchone()[0] or 0
total_atual = float(total_atual)
query_previous = """
SELECT SUM(cbi.Quantity) AS TotalAnterior
FROM CUnitBillItems cbi
JOIN CUnitBills cb ON cbi.BillId = cb.Id
WHERE YEAR(cb.DateBilllingBegin) = ?
AND MONTH(cb.DateBilllingBegin) = ?
"""
cursor.execute(query_previous, (year - 1, month))
total_anterior = cursor.fetchone()[0] or 0
total_anterior = float(total_anterior)
if abs(total_atual - total_anterior) <= 0.05 * total_anterior:
return f"O total de kwh no mês {month:02}/{year} ({total_atual:.2f}) está semelhante ao do mesmo mês do ano anterior ({total_anterior:.2f})."
elif total_atual > total_anterior:
return f"O total de kwh no mês {month:02}/{year} ({total_atual:.2f}) é maior que no mesmo mês do ano anterior ({total_anterior:.2f})."
else:
return f"O total de kwh no mês {month:02}/{year} ({total_atual:.2f}) é menor que no mesmo mês do ano anterior ({total_anterior:.2f})."
except Exception as e:
return f"Erro ao comparar os totais de kwh: {e}"
finally:
conn.close()
def get_invoices_by_month_year(month=None, year=None):
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
with conn.cursor() as cursor:
now = datetime.now()
month = month or now.month
year = year or now.year
query = """
SELECT COUNT(*) AS TotalFaturas
FROM CUnitBills
WHERE YEAR(RevisionDate) = ?
AND MONTH(RevisionDate) = ?
"""
cursor.execute(query, (year, month))
total_faturas = cursor.fetchone()[0]
if total_faturas > 0:
return f"Foram inseridas {total_faturas} faturas no mês {month:02}/{year}."
else:
return f"Não foram inseridas faturas no mês {month:02}/{year}."
except Exception as e:
return f"Erro ao buscar as faturas: {e}"
finally:
conn.close()
def get_invoices_from_inactive_units():
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
with conn.cursor() as cursor:
query = """
SELECT cb.Id AS FaturaId, cu.DisplayName AS Instalacao, cb.DateBilllingBegin, cb.DateBillingEnd, cb.Total
FROM CUnitBills cb
JOIN CUnits cu ON cb.CUnitId = cu.Id
WHERE cu.Active = 0
"""
cursor.execute(query)
rows = cursor.fetchall()
if rows:
formatted_rows = "\n".join([
f"- **FaturaId**: {row[0]}, **Instalação**: {row[1]}, **Início**: {row[2]}, **Fim**: {row[3]}, **Total**: {row[4]:.2f}"
for row in rows
])
return f"Faturas de instalações inativas:\n{formatted_rows}"
else:
return "Não foram encontradas faturas de instalações inativas."
except Exception as e:
return f"Erro ao buscar faturas de instalações inativas: {e}"
finally:
conn.close()
def get_total_kwh_by_building_type(building_type=None):
conn = connect_db()
if not conn:
return "Erro: Não foi possível conectar à base de dados."
try:
with conn.cursor() as cursor:
query = """
SELECT
ct.DisplayName AS TipoEdificio,
SUM(cbi.Quantity) AS TotalKwh
FROM CUnitBillItems cbi
JOIN CUnitBills cb ON cbi.BillId = cb.Id
JOIN CUnits cu ON cb.CUnitId = cu.Id
JOIN CUnitTypes ct ON cu.CUnitType = ct.Id
"""
if building_type:
query += " WHERE ct.DisplayName = ?"
query += " GROUP BY ct.DisplayName ORDER BY TotalKwh DESC"
cursor.execute(query, (building_type,))
else:
query += " GROUP BY ct.DisplayName ORDER BY TotalKwh DESC"
cursor.execute(query)
rows = cursor.fetchall()
if rows:
formatted_rows = "\n".join([
f"- **Tipo de Edifício**: {row[0]}, **Total kWh**: {row[1]:.2f}"
for row in rows
])
return formatted_rows
else:
if building_type:
return f"Nenhum dado encontrado para o tipo de edifício '{building_type}'. Verifique se o nome está correto."
return "Nenhum dado encontrado para os tipos de edifício."
except Exception as e:
return f"Erro ao buscar os dados: {e}"
finally:
conn.close()
if __name__ == "__main__":
conn = connect_db()
if conn:
print("Conexão com a base de dados estabelecida com sucesso!")
conn.close()
else:
print("Erro ao conectar à base de dados.")
month_map = {
"janeiro": 1,
"fevereiro": 2,
"março": 3,
"março": 3,
"abril": 4,
"maio": 5,
"junho": 6,
"julho": 7,
"agosto": 8,
"setembro": 9,
"outubro": 10,
"novembro": 11,
"dezembro": 12
}
while True:
user_input = input("Eu: ")
if user_input.lower() in ["quit", "exit", "bye"]:
break
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)
print(f"Chatbot: Aqui estão os totais encontrados:\n{data}")
continue
if cunit_id or date_billling_begin or date_billing_end:
data = get_filtered_data(cunit_id, date_billling_begin, date_billing_end)
print(f"Chatbot: Aqui estão os dados encontrados:\n{data}")
continue
if "preços faturados" in user_input.lower():
data = get_price_comparison()
print(f"Chatbot: Aqui está a comparação dos preços:\n{data}")
continue
if re.search(r"mês atual.*igual período.*ano anterior", user_input.lower()):
data = compare_current_vs_previous_year()
print(f"Chatbot: {data}")
continue
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:
print("Chatbot: Mês não reconhecido. Tenta novamente.")
continue
else:
mes = datetime.now().month
ano = datetime.now().year
data = compare_current_vs_previous_year(month=mes, year=ano)
print(f"Chatbot: {data}")
continue
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:
print(f"Chatbot: Aqui estão as instalações com maior consumo no período homólogo de {ano}:\n{data}")
else:
print(f"Chatbot: Aqui estão as instalações com maior consumo no período homólogo atual:\n{data}")
continue
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:
print("Chatbot: Mês não reconhecido. Tenta novamente.")
continue
else:
mes = datetime.now().month
ano = datetime.now().year
data = compare_kwh_current_vs_previous_year(month=mes, year=ano)
print(f"Chatbot: {data}")
continue
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:
print("Chatbot: Mês não reconhecido. Tenta novamente.")
continue
else:
mes = datetime.now().month
ano = datetime.now().year
data = get_invoices_by_month_year(month=mes, year=ano)
print(f"Chatbot: {data}")
continue
if re.search(r"faturas.*instalações.*inativas", user_input.lower()):
data = get_invoices_from_inactive_units()
print(f"Chatbot: {data}")
continue
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)
print(f"Chatbot: Aqui está o total de kWh para o tipo de edifício '{building_type}':\n{data}")
else:
data = get_total_kwh_by_building_type()
print(f"Chatbot: Aqui está o total de kWh por tipo de edifício:\n{data}")
continue
if "dados" in user_input.lower():
data = get_data()
print(f"\nDados do SQL Server:\n{data}")
continue
response = chat_with_gpt(user_input)
print("Chatbot: ", response)