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#!/usr/bin/env python3
import pytest
import torch
from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
@pytest.fixture
def classifier():
model_path = "travelgate/room_category-classifier"
try:
model = AutoModelForSequenceClassification.from_pretrained(model_path)
tokenizer = AutoTokenizer.from_pretrained(model_path)
classification = pipeline(
"text-classification",
model=model,
tokenizer=tokenizer,
framework="pt",
device=0 if torch.cuda.is_available() else -1,
)
print("Modelo y tokenizer cargados exitosamente.")
except Exception as e:
print(f"Error al cargar el modelo o tokenizer: {e}")
raise e
return classification
def test_model_predictions(classifier):
test_data = [
{'input': 'comfort double', 'expected_response': 'comfort'},
{'input': 'full size bed 1 big bed', 'expected_response': 'default'},
{'input': '1 king bed suite nonsmoking', 'expected_response': 'default'},
{'input': 'junior suite 1 king bed nonsmoking', 'expected_response': 'junior'},
{'input': 'superior sea view', 'expected_response': 'superior'},
{'input': 'family room superior', 'expected_response': 'superior'},
{'input': '1 king standard', 'expected_response': 'standard'},
{'input': 'superior king balcon vista al mar', 'expected_response': 'superior'},
{'input': 'standard double room king bed accessible', 'expected_response': 'standard'}, # noqa: E501
{'input': 'sagamore garden view suite standard', 'expected_response': 'standard'}, # noqa: E501
{'input': 'standard 1 king bed courtyard view non smoking', 'expected_response': 'standard'}, # noqa: E501
{'input': 'suite double for 2 adults 0 children and 0 infants', 'expected_response': 'default'}, # noqa: E501
{'input': 'one bedroom superior king suite with ocean view non smoking', 'expected_response': 'superior'}, # noqa: E501
{'input': 'omnia deluxe triple for 2 adults 0 children and 0 infants', 'expected_response': 'deluxe'}, # noqa: E501
{'input': 'king premium room incl evening tasting welcome gift comp wifi 27 30 sqm espresso fridge bathrobe', 'expected_response': 'premium'}, # noqa: E501
{'input': 'standard twin double room single use', 'expected_response': 'standard'}, # noqa: E501
{'input': 'habitacion 2 camas deluxe', 'expected_response': 'deluxe'},
{'input': 'standard 2 double beds courtyard view non smoking', 'expected_response': 'standard'}, # noqa: E501
{'input': 'habitacion estandar con bano', 'expected_response': 'standard'},
{'input': 'superior room 1 king superior room 1 king cupola or courtyard view french style 36sqm 385sq', 'expected_response': 'superior'}, # noqa: E501
{'input': 'habitacion estandar matrimonial adaptada discapacitados', 'expected_response': 'standard'}, # noqa: E501
{'input': 'privilege twin for 2 adults 0 children and 0 infants', 'expected_response': 'privilege'}, # noqa: E501
{'input': 'classic single for 1 adults 0 children and 0 infants', 'expected_response': 'classic'}, # noqa: E501
{'input': 'deluxe room double for 2 adults 0 children and 0 infants', 'expected_response': 'deluxe'}, # noqa: E501
{'input': 'gallery two queens', 'expected_response': 'default'},
{'input': 'premier palace double room', 'expected_response': 'premier'},
{'input': 'double single use deluxe', 'expected_response': 'deluxe'},
{'input': 'double room queen bed superior', 'expected_response': 'superior'},
{'input': 'double guest standard room', 'expected_response': 'standard'},
{'input': '2 queen beds disney view non smoking', 'expected_response': 'default'}, # noqa: E501
{'input': 'standard single room for 1 adults 0 children and 0 infants', 'expected_response': 'standard'}, # noqa: E501
{'input': 'twin premium room incl evening tasting welcome gift comp wifi 28 sqm espresso fridge bathrobe', 'expected_response': 'premium'}, # noqa: E501
{'input': 'superior quadruple room', 'expected_response': 'superior'},
{'input': 'superior one bedroom apartment x2013 2 adults', 'expected_response': 'superior'} # noqa: E501
]
for test_case in test_data:
description = test_case["input"]
expected_category = test_case["expected_response"]
result = classifier(description)[0]
predicted_category = result["label"]
assert (
predicted_category == expected_category
), f"Incorrect prediction for '{description}': expected '{expected_category}', obtained '{predicted_category}'" # noqa: E501
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