main.py

from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from typing import List

# Request model
class SentimentRequest(BaseModel):
    sentences: List[str]

# Hardcoded dataset of sentences -> sentiment
HARDCODED_SENTIMENTS = {
    "I absolutely love this product, it changed my life!": "happy",
    "This is the worst experience I've ever had.": "sad",
    "The weather today is quite average.": "neutral",
    "I'm so excited about my upcoming vacation!": "happy",
    "I lost my favorite book and I'm heartbroken.": "sad",
    "The meeting is scheduled for 3 PM.": "neutral",
    "This movie brought tears of joy to my eyes.": "happy",
    "I failed my exam and feel terrible about it.": "sad",
    "The package arrived on time.": "neutral",
    "Winning the competition was a dream come true!": "happy",
    "My pet passed away yesterday.": "sad",
    "The report contains 50 pages.": "neutral",
    "I'm thrilled to announce our engagement!": "happy",
    "The project was rejected by the committee.": "sad",
    "The store opens at 9 AM.": "neutral",
    "Best day ever! Everything went perfectly!": "happy",
    "I'm devastated by the news.": "sad",
    "The temperature is 72 degrees.": "neutral",
    "I can't stop smiling after hearing that!": "happy",
    "Nobody showed up to my birthday party.": "sad",
    "The file is saved in the documents folder.": "neutral",
    "This is amazing! I'm so grateful!": "happy",
    "I regret making that decision.": "sad",
    "The train departs at 6:30 PM.": "neutral",
    "I feel fantastic today!": "happy",
    "The company announced massive layoffs.": "sad",
    "There are 12 items in the list.": "neutral",
    "This is exactly what I was hoping for!": "happy",
    "I'm disappointed with the results.": "sad",
    "The conference room is on the third floor.": "neutral",
    "I'm overjoyed with this opportunity!": "happy",
    "The diagnosis was worse than expected.": "sad",
    "The document is 10 pages long.": "neutral",
    "What a wonderful surprise!": "happy",
    "I feel lonely and abandoned.": "sad",
    "The meeting will last 2 hours.": "neutral",
    "I'm so proud of what we accomplished!": "happy",
    "Everything is falling apart.": "sad",
    "The website has three main sections.": "neutral",
    "This is the happiest moment of my life!": "happy",
    "I'm struggling with depression.": "sad",
    "The office is located downtown.": "neutral",
    "I'm delighted with the service!": "happy",
    "The relationship ended badly.": "sad",
    "The system requires an update.": "neutral",
    "I'm blessed to have such wonderful friends!": "happy",
    "I feel hopeless about the situation.": "sad",
    "The price is $50.": "neutral",
    "This is pure bliss!": "happy",
    "I'm crying because of the pain.": "sad",
    "The button is on the left side.": "neutral",
    "I'm ecstatic about the promotion!": "happy",
    "My heart is broken.": "sad",
    "The application is available for download.": "neutral",
    "Life is beautiful!": "happy",
    "I'm miserable and exhausted.": "sad",
    "The event starts at noon.": "neutral",
    "I'm radiating with happiness!": "happy",
    "The accident left me traumatized.": "sad",
    "The folder contains 25 files.": "neutral",
    "I'm jumping for joy!": "happy",
    "I feel utterly defeated.": "sad",
    "The password must be 8 characters.": "neutral",
    "This exceeded all my expectations!": "happy",
    "I'm drowning in sorrow.": "sad",
    "The form has five fields.": "neutral",
    "I'm on cloud nine!": "happy",
    "Everything I touch turns to failure.": "sad",
    "The menu has four options.": "neutral",
    "I'm bursting with excitement!": "happy",
    "I feel empty inside.": "sad",
    "The course lasts 6 weeks.": "neutral",
    "Today is the best day of my life!": "happy",
    "I'm suffering from anxiety.": "sad",
    "The building has 10 floors.": "neutral",
    "I'm incredibly fortunate!": "happy",
    "I lost everything in the fire.": "sad",
    "The session duration is 30 minutes.": "neutral",
    "I'm grinning from ear to ear!": "happy",
    "I'm consumed by grief.": "sad",
    "The table has 4 columns.": "neutral",
    "This is a dream come true!": "happy",
    "I'm worried sick about this.": "sad",
    "The deadline is next Friday.": "neutral",
    "I'm absolutely thrilled!": "happy",
    "I'm shattered by the betrayal.": "sad",
    "The parking lot has 100 spaces.": "neutral",
    "I feel alive and energized!": "happy",
    "I'm overwhelmed with sadness.": "sad",
    "The manual is 200 pages.": "neutral",
    "I'm celebrating this wonderful news!": "happy",
    "I'm haunted by regret.": "sad",
    "The warranty lasts one year.": "neutral",
    "I'm filled with pure joy!": "happy",
    "I'm crushed by disappointment.": "sad",
    "The server is hosted in the cloud.": "neutral",
    "This is absolutely spectacular!": "happy",
    "I'm burdened by endless problems.": "sad",
    "The API accepts JSON requests.": "neutral",
}

app = FastAPI(title="FastAPI Batch Sentiment Analysis (Hardcoded)")

# Enable CORS for browser access
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Handle both POST / and POST /sentiment for safety
@app.post("/")
@app.post("/sentiment")
async def analyze_sentiments(data: SentimentRequest):
    results = []
    for sentence in data.sentences:
        sentiment = HARDCODED_SENTIMENTS.get(sentence.strip(), "neutral")
        results.append({"sentence": sentence, "sentiment": sentiment})
    return {"results": results}

@app.get("/")
async def root():
    return {"message": "FastAPI Batch Sentiment Analysis API (Hardcoded) is running!"}