litellm/tests/llm_translation/test_convert_dict_to_image.py
2024-11-04 15:46:43 -08:00

119 lines
3.6 KiB
Python

import json
import os
import sys
from datetime import datetime
sys.path.insert(
0, os.path.abspath("../../")
) # Adds the parent directory to the system path
import litellm
import pytest
from datetime import timedelta
from litellm.types.utils import ImageResponse, ImageObject
from litellm.litellm_core_utils.llm_response_utils.convert_dict_to_response import (
LiteLLMResponseObjectHandler,
)
def test_convert_to_image_response_basic():
# Test basic conversion with minimal input
response_dict = {
"created": 1234567890,
"data": [{"url": "http://example.com/image.jpg"}],
}
result = LiteLLMResponseObjectHandler.convert_to_image_response(response_dict)
assert isinstance(result, ImageResponse)
assert result.created == 1234567890
assert result.data[0].url == "http://example.com/image.jpg"
def test_convert_to_image_response_with_hidden_params():
# Test with hidden params
response_dict = {
"created": 1234567890,
"data": [{"url": "http://example.com/image.jpg"}],
}
hidden_params = {"api_key": "test_key"}
result = LiteLLMResponseObjectHandler.convert_to_image_response(
response_dict, hidden_params=hidden_params
)
assert result._hidden_params == {"api_key": "test_key"}
def test_convert_to_image_response_multiple_images():
# Test handling multiple images in response
response_dict = {
"created": 1234567890,
"data": [
{"url": "http://example.com/image1.jpg"},
{"url": "http://example.com/image2.jpg"},
],
}
result = LiteLLMResponseObjectHandler.convert_to_image_response(response_dict)
assert len(result.data) == 2
assert result.data[0].url == "http://example.com/image1.jpg"
assert result.data[1].url == "http://example.com/image2.jpg"
def test_convert_to_image_response_with_b64_json():
# Test handling b64_json in response
response_dict = {
"created": 1234567890,
"data": [{"b64_json": "base64encodedstring"}],
}
result = LiteLLMResponseObjectHandler.convert_to_image_response(response_dict)
assert result.data[0].b64_json == "base64encodedstring"
def test_convert_to_image_response_with_extra_fields():
response_dict = {
"created": 1234567890,
"data": [
{
"url": "http://example.com/image1.jpg",
"content_filter_results": {"category": "violence", "flagged": True},
},
{
"url": "http://example.com/image2.jpg",
"content_filter_results": {"category": "violence", "flagged": True},
},
],
}
result = LiteLLMResponseObjectHandler.convert_to_image_response(response_dict)
assert result.data[0].url == "http://example.com/image1.jpg"
assert result.data[1].url == "http://example.com/image2.jpg"
def test_convert_to_image_response_with_extra_fields_2():
"""
Date from a non-OpenAI API could have some obscure field in addition to the expected ones. This should not break the conversion.
"""
response_dict = {
"created": 1234567890,
"data": [
{
"url": "http://example.com/image1.jpg",
"very_obscure_field": "some_value",
},
{
"url": "http://example.com/image2.jpg",
"very_obscure_field2": "some_other_value",
},
],
}
result = LiteLLMResponseObjectHandler.convert_to_image_response(response_dict)
assert result.data[0].url == "http://example.com/image1.jpg"
assert result.data[1].url == "http://example.com/image2.jpg"