chartbastan/backend/tests/conftest.py
2026-02-01 09:31:38 +01:00

185 lines
4.2 KiB
Python

"""
Pytest configuration and fixtures for backend tests.
"""
import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, Session
from app.database import Base, get_db
from app.models import (
User,
Tweet,
RedditPost,
RedditComment,
SentimentScore,
EnergyScore
)
# Create in-memory SQLite database for testing
SQLALCHEMY_DATABASE_URL = "sqlite:///:memory:"
engine = create_engine(
SQLALCHEMY_DATABASE_URL,
connect_args={"check_same_thread": False}
)
TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
@pytest.fixture(scope="function")
def db_session():
"""
Create a fresh database session for each test.
This fixture creates a new database, creates all tables,
and returns a session. The database is cleaned up after the test.
"""
# Create all tables
Base.metadata.create_all(bind=engine)
# Create session
session = TestingSessionLocal()
try:
yield session
finally:
session.close()
# Drop all tables after test
Base.metadata.drop_all(bind=engine)
@pytest.fixture(scope="function")
def client(db_session):
"""
Create a test client with a database session override.
This fixture overrides the get_db dependency to use the test database.
"""
from fastapi.testclient import TestClient
from app.main import app
def override_get_db():
try:
yield db_session
finally:
pass
app.dependency_overrides[get_db] = override_get_db
with TestClient(app) as test_client:
yield test_client
app.dependency_overrides.clear()
@pytest.fixture(scope="function")
def sample_user(db_session):
"""
Create a sample user for testing.
Returns:
User object
"""
user = User(
username="testuser",
email="test@example.com",
hashed_password="hashed_password",
is_premium=False
)
db_session.add(user)
db_session.commit()
db_session.refresh(user)
return user
@pytest.fixture(scope="function")
def sample_tweet(db_session, sample_user):
"""
Create a sample tweet for testing.
Returns:
Tweet object
"""
from datetime import datetime
tweet = Tweet(
tweet_id="1234567890",
text="This is a test tweet",
author="test_author",
created_at=datetime.utcnow(),
user_id=sample_user.id,
retweets=10,
likes=20,
replies=5
)
db_session.add(tweet)
db_session.commit()
db_session.refresh(tweet)
return tweet
@pytest.fixture(scope="function")
def sample_reddit_post(db_session, sample_user):
"""
Create a sample Reddit post for testing.
Returns:
RedditPost object
"""
from datetime import datetime
reddit_post = RedditPost(
post_id="reddit123",
title="Test Reddit Post",
text="This is a test Reddit post",
author="reddit_author",
subreddit="test_subreddit",
created_at=datetime.utcnow(),
user_id=sample_user.id,
upvotes=15,
comments=3
)
db_session.add(reddit_post)
db_session.commit()
db_session.refresh(reddit_post)
return reddit_post
@pytest.fixture(scope="function")
def sample_sentiment_scores(db_session, sample_tweet, sample_reddit_post):
"""
Create sample sentiment scores for testing.
Returns:
List of SentimentScore objects
"""
from datetime import datetime
twitter_sentiment = SentimentScore(
entity_id=sample_tweet.tweet_id,
entity_type="tweet",
score=0.5,
sentiment_type="positive",
positive=0.6,
negative=0.2,
neutral=0.2,
created_at=datetime.utcnow()
)
reddit_sentiment = SentimentScore(
entity_id=sample_reddit_post.post_id,
entity_type="reddit_post",
score=0.3,
sentiment_type="positive",
positive=0.4,
negative=0.3,
neutral=0.3,
created_at=datetime.utcnow()
)
db_session.add(twitter_sentiment)
db_session.add(reddit_sentiment)
db_session.commit()
db_session.refresh(twitter_sentiment)
db_session.refresh(reddit_sentiment)
return [twitter_sentiment, reddit_sentiment]