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# stdlib imports
import json
import os
import time
from unittest.mock import patch
import pytest
# third party imports
from click.testing import CliRunner
# local imports
from litellm.proxy.client.cli import cli
from litellm.proxy.client.cli.commands.models import (
format_cost_per_1k_tokens,
format_iso_datetime_str,
format_timestamp,
)
@pytest.fixture
def mock_client():
"""Fixture to create a mock client with common setup"""
with patch("litellm.proxy.client.cli.commands.models.Client") as MockClient:
yield MockClient
@pytest.fixture
def cli_runner():
"""Fixture for Click CLI runner"""
return CliRunner()
@pytest.fixture(autouse=True)
def mock_env():
"""Fixture to set up environment variables for all tests"""
with patch.dict(
os.environ,
{
"LITELLM_PROXY_URL": "http://localhost:4000",
"LITELLM_PROXY_API_KEY": "sk-test",
},
):
yield
@pytest.fixture
def mock_models_list(mock_client):
"""Fixture to set up common mocking pattern for models list tests"""
mock_client.return_value.models.list.return_value = [
{
"id": "model-123",
"object": "model",
"created": 1699848889,
"owned_by": "organization-123",
},
{
"id": "model-456",
"object": "model",
"created": 1699848890,
"owned_by": "organization-456",
},
]
mock_client.assert_not_called() # Ensure clean slate
return mock_client
@pytest.fixture
def mock_models_info(mock_client):
"""Fixture to set up models info mock"""
mock_client.return_value.models.info.return_value = [
{
"model_name": "gpt-4",
"litellm_params": {"model": "gpt-4", "litellm_credential_name": "openai-1"},
"model_info": {
"id": "model-123",
"created_at": "2025-04-29T21:31:43.843000+00:00",
"updated_at": "2025-04-29T21:31:43.843000+00:00",
"input_cost_per_token": 0.00001,
"output_cost_per_token": 0.00002,
},
}
]
mock_client.assert_not_called()
return mock_client
@pytest.fixture
def force_utc_tz():
"""Fixture to force UTC timezone for tests that depend on system TZ."""
old_tz = os.environ.get("TZ")
os.environ["TZ"] = "UTC"
if hasattr(time, "tzset"):
time.tzset()
yield
# Restore previous TZ
if old_tz is not None:
os.environ["TZ"] = old_tz
else:
if "TZ" in os.environ:
del os.environ["TZ"]
if hasattr(time, "tzset"):
time.tzset()
def test_models_list_json_format(mock_models_list, cli_runner):
"""Test the models list command with JSON output format"""
# Run the command
result = cli_runner.invoke(cli, ["models", "list", "--format", "json"])
# Check that the command succeeded
assert result.exit_code == 0
# Parse the output and verify it matches our mock data
output_data = json.loads(result.output)
assert output_data == mock_models_list.return_value.models.list.return_value
# Verify the client was called correctly
mock_models_list.assert_called_once_with(
base_url="http://localhost:4000", api_key="sk-test"
)
mock_models_list.return_value.models.list.assert_called_once()
def test_models_list_table_format(mock_models_list, cli_runner):
"""Test the models list command with table output format"""
# Run the command
result = cli_runner.invoke(cli, ["models", "list"])
# Check that the command succeeded
assert result.exit_code == 0
# Verify the output contains expected table elements
assert "ID" in result.output
assert "Object" in result.output
assert "Created" in result.output
assert "Owned By" in result.output
assert "model-123" in result.output
assert "organization-123" in result.output
assert format_timestamp(1699848889) in result.output
# Verify the client was called correctly
mock_models_list.assert_called_once_with(
base_url="http://localhost:4000", api_key="sk-test"
)
mock_models_list.return_value.models.list.assert_called_once()
def test_models_list_with_base_url(mock_models_list, cli_runner):
"""Test the models list command with custom base URL overriding env var"""
custom_base_url = "http://custom.server:8000"
# Run the command with custom base URL
result = cli_runner.invoke(cli, ["--base-url", custom_base_url, "models", "list"])
# Check that the command succeeded
assert result.exit_code == 0
# Verify the client was created with the custom base URL (overriding env var)
mock_models_list.assert_called_once_with(
base_url=custom_base_url,
api_key="sk-test", # Should still use env var for API key
)
def test_models_list_with_api_key(mock_models_list, cli_runner):
"""Test the models list command with API key overriding env var"""
custom_api_key = "custom-test-key"
# Run the command with custom API key
result = cli_runner.invoke(cli, ["--api-key", custom_api_key, "models", "list"])
# Check that the command succeeded
assert result.exit_code == 0
# Verify the client was created with the custom API key (overriding env var)
mock_models_list.assert_called_once_with(
base_url="http://localhost:4000", # Should still use env var for base URL
api_key=custom_api_key,
)
def test_models_list_error_handling(mock_client, cli_runner):
"""Test error handling in the models list command"""
# Configure mock to raise an exception
mock_client.return_value.models.list.side_effect = Exception("API Error")
# Run the command
result = cli_runner.invoke(cli, ["models", "list"])
# Check that the command failed
assert result.exit_code != 0
assert "API Error" in str(result.exception)
# Verify the client was created with env var values
mock_client.assert_called_once_with(
base_url="http://localhost:4000", api_key="sk-test"
)
def test_models_info_json_format(mock_models_info, cli_runner):
"""Test the models info command with JSON output format"""
# Run the command
result = cli_runner.invoke(cli, ["models", "info", "--format", "json"])
# Check that the command succeeded
assert result.exit_code == 0
# Parse the output and verify it matches our mock data
output_data = json.loads(result.output)
assert output_data == mock_models_info.return_value.models.info.return_value
# Verify the client was called correctly with env var values
mock_models_info.assert_called_once_with(
base_url="http://localhost:4000", api_key="sk-test"
)
mock_models_info.return_value.models.info.assert_called_once()
def test_models_info_table_format(mock_models_info, cli_runner):
"""Test the models info command with table output format"""
# Run the command with default columns
result = cli_runner.invoke(cli, ["models", "info"])
# Check that the command succeeded
assert result.exit_code == 0
# Verify the output contains expected table elements
assert "Public Model" in result.output
assert "Upstream Model" in result.output
assert "Updated At" in result.output
assert "gpt-4" in result.output
assert "2025-04-29 21:31" in result.output
# Verify seconds and microseconds are not shown
assert "21:31:43" not in result.output
assert "843000" not in result.output
# Verify the client was called correctly with env var values
mock_models_info.assert_called_once_with(
base_url="http://localhost:4000", api_key="sk-test"
)
mock_models_info.return_value.models.info.assert_called_once()
def test_models_import_only_models_matching_regex(tmp_path, mock_client, cli_runner):
"""Test the --only-models-matching-regex option for models import command"""
# Prepare a YAML file with a mix of models
yaml_content = {
"model_list": [
{
"model_name": "gpt-4-model",
"litellm_params": {"model": "gpt-4"},
"model_info": {"id": "id-1"},
},
{
"model_name": "gpt-3.5-model",
"litellm_params": {"model": "gpt-3.5-turbo"},
"model_info": {"id": "id-2"},
},
{
"model_name": "llama2-model",
"litellm_params": {"model": "llama2"},
"model_info": {"id": "id-3"},
},
{
"model_name": "other-model",
"litellm_params": {"model": "other"},
"model_info": {"id": "id-4"},
},
]
}
import yaml as pyyaml
yaml_file = tmp_path / "models.yaml"
with open(yaml_file, "w") as f:
pyyaml.safe_dump(yaml_content, f)
# Patch client.models.new to track calls
mock_new = mock_client.return_value.models.new
# Only match models containing 'gpt' in their litellm_params.model
result = cli_runner.invoke(
cli, ["models", "import", str(yaml_file), "--only-models-matching-regex", "gpt"]
)
# Should succeed
assert result.exit_code == 0
# Only the two gpt models should be imported
calls = [call.kwargs["model_params"]["model"] for call in mock_new.call_args_list]
assert set(calls) == {"gpt-4", "gpt-3.5-turbo"}
# Should not include llama2 or other
assert "llama2" not in calls
assert "other" not in calls
# Output summary should mention the correct providers
assert "gpt-4".split("-")[0] in result.output or "gpt" in result.output
def test_models_import_only_access_groups_matching_regex(
tmp_path, mock_client, cli_runner
):
"""Test the --only-access-groups-matching-regex option for models import command"""
# Prepare a YAML file with a mix of models
yaml_content = {
"model_list": [
{
"model_name": "gpt-4-model",
"litellm_params": {"model": "gpt-4"},
"model_info": {
"id": "id-1",
"access_groups": ["beta-models", "prod-models"],
},
},
{
"model_name": "gpt-3.5-model",
"litellm_params": {"model": "gpt-3.5-turbo"},
"model_info": {"id": "id-2", "access_groups": ["alpha-models"]},
},
{
"model_name": "llama2-model",
"litellm_params": {"model": "llama2"},
"model_info": {"id": "id-3", "access_groups": ["beta-models"]},
},
{
"model_name": "other-model",
"litellm_params": {"model": "other"},
"model_info": {"id": "id-4", "access_groups": ["other-group"]},
},
{
"model_name": "no-access-group-model",
"litellm_params": {"model": "no-access"},
"model_info": {"id": "id-5"},
},
]
}
import yaml as pyyaml
yaml_file = tmp_path / "models.yaml"
with open(yaml_file, "w") as f:
pyyaml.safe_dump(yaml_content, f)
# Patch client.models.new to track calls
mock_new = mock_client.return_value.models.new
# Only match models with access_groups containing 'beta'
result = cli_runner.invoke(
cli,
[
"models",
"import",
str(yaml_file),
"--only-access-groups-matching-regex",
"beta",
],
)
# Should succeed
assert result.exit_code == 0
# Only the two models with 'beta-models' in access_groups should be imported
calls = [call.kwargs["model_params"]["model"] for call in mock_new.call_args_list]
assert set(calls) == {"gpt-4", "llama2"}
# Should not include gpt-3.5, other, or no-access
assert "gpt-3.5-turbo" not in calls
assert "other" not in calls
assert "no-access" not in calls
# Output summary should mention the correct providers
assert "gpt-4".split("-")[0] in result.output or "gpt" in result.output
@pytest.mark.parametrize(
"input_str,expected",
[
(None, ""),
("", ""),
("2024-05-01T12:34:56Z", "2024-05-01 12:34"),
("2024-05-01T12:34:56+00:00", "2024-05-01 12:34"),
("2024-05-01T12:34:56.123456+00:00", "2024-05-01 12:34"),
("2024-05-01T12:34:56.123456Z", "2024-05-01 12:34"),
("2024-05-01T12:34:56-04:00", "2024-05-01 12:34"),
("2024-05-01", "2024-05-01 00:00"),
("not-a-date", "not-a-date"),
],
)
def test_format_iso_datetime_str(input_str, expected):
assert format_iso_datetime_str(input_str) == expected
@pytest.mark.parametrize(
"input_val,expected",
[
(None, ""),
(1699848889, "2023-11-13 04:14"),
(1699848889.0, "2023-11-13 04:14"),
("not-a-timestamp", "not-a-timestamp"),
([1, 2, 3], "[1, 2, 3]"),
],
)
def test_format_timestamp(input_val, expected, force_utc_tz):
actual = format_timestamp(input_val)
if actual != expected:
print(f"input: {input_val}, expected: {expected}, actual: {actual}")
assert actual == expected
@pytest.mark.parametrize(
"input_val,expected",
[
(None, ""),
(0, "$0.0000"),
(0.0, "$0.0000"),
(0.00001, "$0.0100"),
(0.00002, "$0.0200"),
(1, "$1000.0000"),
(1.5, "$1500.0000"),
("0.00001", "$0.0100"),
("1.5", "$1500.0000"),
("not-a-number", "not-a-number"),
(1e-10, "$0.0000"),
],
)
def test_format_cost_per_1k_tokens(input_val, expected):
actual = format_cost_per_1k_tokens(input_val)
if actual != expected:
print(f"input: {input_val}, expected: {expected}, actual: {actual}")
assert actual == expected
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