from fastapi.middleware.cors import CORSMiddleware<\/p>\n\n\n\n
from dotenv import load_dotenv<\/p>\n\n\n\n
from fastapi import UploadFile, File<\/p>\n\n\n\n
from fastapi import FastAPI, HTTPException<\/p>\n\n\n\n
from pydantic import BaseModel<\/p>\n\n\n\n
from vectorstore.store import SimpleVectorStore<\/p>\n\n\n\n
from nlpgen.generation import generate_answer<\/p>\n\n\n\n
import os<\/p>\n\n\n\n
# Laad het .env-bestand<\/p>\n\n\n\n
load_dotenv()<\/p>\n\n\n\n
# Haal DATABASE_URL op<\/p>\n\n\n\n
DATABASE_URL = os.getenv(“DATABASE_URL”)<\/p>\n\n\n\n
# Definieer de FastAPI-app<\/p>\n\n\n\n
app = FastAPI()<\/p>\n\n\n\n
# Middleware<\/p>\n\n\n\n
app.add_middleware(<\/p>\n\n\n\n
CORSMiddleware,<\/p>\n\n\n\n
allow_origins=[“*”],<\/p>\n\n\n\n
allow_credentials=True,<\/p>\n\n\n\n
allow_methods=[“*”],<\/p>\n\n\n\n
allow_headers=[“*”],<\/p>\n\n\n\n
)<\/p>\n\n\n\n
@app.get(“\/”)<\/p>\n\n\n\n
async def root():<\/p>\n\n\n\n
return {“greeting”: “Hello, World!”, “message”: “Welcome to FastAPI!”}<\/p>\n\n\n\n
@app.get(“\/test-db”)<\/p>\n\n\n\n
def test_db():<\/p>\n\n\n\n
# Controleer of DATABASE_URL correct is geladen<\/p>\n\n\n\n
if not DATABASE_URL:<\/p>\n\n\n\n
return {“error”: “DATABASE_URL niet gevonden”}<\/p>\n\n\n\n
return {“database_url”: DATABASE_URL}<\/p>\n\n\n\n
# Dummy dataset<\/p>\n\n\n\n
texts = [<\/p>\n\n\n\n
“FastAPI is een modern webframework voor Python.”,<\/p>\n\n\n\n
“Retrieval-Augmented Generation combineert zoekfunctionaliteit met tekstgeneratie.”,<\/p>\n\n\n\n
“Vectorstores zoals FAISS worden vaak gebruikt om semantische zoekopdrachten te versnellen.”,<\/p>\n\n\n\n
“Het ontwikkelen van een CKBA-product vereist een combinatie van backend, frontend en machine learning.”<\/p>\n\n\n\n
]<\/p>\n\n\n\n
# Initialiseer vectorstore en voeg teksten toe<\/p>\n\n\n\n
vectorstore = SimpleVectorStore()<\/p>\n\n\n\n
vectorstore.add_texts(texts)<\/p>\n\n\n\n
# Requestmodel<\/p>\n\n\n\n
class QuestionRequest(BaseModel):<\/p>\n\n\n\n
question: str<\/p>\n\n\n\n
@app.post(“\/answer”)<\/p>\n\n\n\n
async def answer_question(request: QuestionRequest):<\/p>\n\n\n\n
“””<\/p>\n\n\n\n
Beantwoord een vraag op basis van de opgeslagen teksten.<\/p>\n\n\n\n
“””<\/p>\n\n\n\n
try:<\/p>\n\n\n\n
# Zoek relevante context<\/p>\n\n\n\n
relevant_context = vectorstore.search(request.question, top_k=3)<\/p>\n\n\n\n
context = “\\n”.join(relevant_context[:3]) # Beperk de context tot 3 resultaten<\/p>\n\n\n\n
# Genereer antwoord<\/p>\n\n\n\n
answer = generate_answer(request.question, context)<\/p>\n\n\n\n
return {“question”: request.question, “context”: relevant_context, “answer”: answer}<\/p>\n\n\n\n
except Exception as e:<\/p>\n\n\n\n
raise HTTPException(status_code=500, detail=f”Fout bij beantwoording: {str(e)}”)<\/p>\n\n\n\n
@app.post(“\/upload”)<\/p>\n\n\n\n
async def upload_document(file: UploadFile):<\/p>\n\n\n\n
try:<\/p>\n\n\n\n
# Log details van het bestand<\/p>\n\n\n\n
print(f”Ontvangen bestand: {file.filename}, content type: {file.content_type}”)<\/p>\n\n\n\n
content = (await file.read()).decode(“utf-8”)<\/p>\n\n\n\n
vectorstore.add_texts([content])<\/p>\n\n\n\n
return {“filename”: file.filename, “message”: “Document succesvol geupload en toegevoegd aan de vectorstore.”}<\/p>\n\n\n\n
except Exception as e:<\/p>\n\n\n\n
print(f”Fout bij uploaden: {e}”)<\/p>\n\n\n\n
raise HTTPException(status_code=500, detail=f”Fout bij uploaden: {str(e)}”)<\/p>\n","protected":false},"excerpt":{"rendered":"
from fastapi.middleware.cors import CORSMiddleware from dotenv import load_dotenv from fastapi import UploadFile, File from fastapi import FastAPI, HTTPException from pydantic import BaseModel from vectorstore.store import SimpleVectorStore from nlpgen.generation import generate_answer import os # Laad het .env-bestand load_dotenv() # Haal DATABASE_URL op DATABASE_URL = os.getenv(“DATABASE_URL”) # Definieer de FastAPI-app app = FastAPI() # Middleware app.add_middleware( […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-132","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/yininai.nl\/index.php\/wp-json\/wp\/v2\/pages\/132","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/yininai.nl\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/yininai.nl\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/yininai.nl\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/yininai.nl\/index.php\/wp-json\/wp\/v2\/comments?post=132"}],"version-history":[{"count":2,"href":"https:\/\/yininai.nl\/index.php\/wp-json\/wp\/v2\/pages\/132\/revisions"}],"predecessor-version":[{"id":167,"href":"https:\/\/yininai.nl\/index.php\/wp-json\/wp\/v2\/pages\/132\/revisions\/167"}],"wp:attachment":[{"href":"https:\/\/yininai.nl\/index.php\/wp-json\/wp\/v2\/media?parent=132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}