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test_feature-ranking.py
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97 lines (75 loc) · 2.8 KB
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import pymongo
from pymongo import MongoClient
import random
import FeatureRanking
uri = "mongodb+srv://admin:wzE6nBcB4bnpyDUY@ibm.zbskp8h.mongodb.net/?retryWrites=true&w=majority&appName=IBM"
# Create a new client and connect to the server
client = MongoClient(uri)
db = client["IBM"]
collection = db["feature_ranking"]
LLM = ""
# Set of unit tests:
def test_addRating1():
# Test adding a single rating
User_id = "test_addRating1"
query = "sample query"
llm = "OpenAI"
rating = 4.5
# Add the test rating to the database
FeatureRanking.addRating1(User_id, query, llm, rating)
# Check if the rating was added
print(FeatureRanking.getUserRating(User_id, llm))
assert FeatureRanking.getUserRating(User_id, llm) == rating
# Cleanup by deleting test data from MongoDB
collection.delete_many({"User_id": "test_addRating1"})
def test_addRating2():
# Test adding two ratings
User_id = "test_addRating2"
query = "sample query"
llm1 = "OpenAI"
rating1 = 4.5
llm2 = "AI21"
rating2 = 3.0
# Add both test ratings to the database
FeatureRanking.addRating2(User_id, query, llm1, rating1, llm2, rating2)
# Check if the ratings were added
assert FeatureRanking.getUserRating(User_id, llm1) == rating1
assert FeatureRanking.getUserRating(User_id, llm2) == rating2
# Cleanup by deleting test data from MongoDB
collection.delete_many({"User_id": "test_addRating2"})
def test_addRating3():
# Test adding three ratings
User_id = "test_addRating3"
query = "sample query"
llm1 = "OpenAI"
rating1 = 4.5
llm2 = "AI21"
rating2 = 3.0
llm3 = "LLAMA"
rating3 = 2.0
# Add all three test ratings to the database
FeatureRanking.addRating3(User_id, query, llm1, rating1,
llm2, rating2, llm3, rating3)
# Check if the ratings were added
assert FeatureRanking.getUserRating(User_id, llm1) == rating1
assert FeatureRanking.getUserRating(User_id, llm2) == rating2
assert FeatureRanking.getUserRating(User_id, llm3) == rating3
# Cleanup by deleting test data from MongoDB
collection.delete_many({"User_id": "test_addRating3"})
def test_getAverageRating():
query = "sample query"
llm = "getAverageRatingTest"
User_id1 = "280"
rating1 = 5
User_id2 = "233"
rating2 = 4
User_id3 = "241"
rating3 = 3
# Add all three test ratings to the database
FeatureRanking.addRating1(User_id1, query, llm, rating1)
FeatureRanking.addRating1(User_id2, query, llm, rating2)
FeatureRanking.addRating1(User_id3, query, llm, rating3)
assert FeatureRanking.getAverageRating(
"getAverageRatingTest") == (rating1 + rating2 + rating3) / 3
# Cleanup by deleting test data from MongoDB
collection.delete_many({"LLM": "getAverageRatingTest"})