forked from phoenix/litellm-mirror
4d1b4beb3d
* use folder for caching * fix importing caching * fix clickhouse pyright * fix linting * fix correctly pass kwargs and args * fix test case for embedding * fix linting * fix embedding caching logic * fix refactor handle utils.py * fix test_embedding_caching_azure_individual_items_reordered
312 lines
9 KiB
Python
312 lines
9 KiB
Python
# What is this?
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## Unit test for presidio pii masking
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import asyncio
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import os
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import random
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import sys
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import time
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import traceback
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from datetime import datetime
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from dotenv import load_dotenv
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load_dotenv()
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import os
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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import litellm
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from litellm import Router, mock_completion
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from litellm.caching.caching import DualCache
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from litellm.proxy._types import UserAPIKeyAuth
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from litellm.proxy.hooks.presidio_pii_masking import _OPTIONAL_PresidioPIIMasking
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from litellm.proxy.utils import ProxyLogging
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@pytest.mark.parametrize(
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"base_url",
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[
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"presidio-analyzer-s3pa:10000",
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"https://presidio-analyzer-s3pa:10000",
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"http://presidio-analyzer-s3pa:10000",
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],
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)
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def test_validate_environment_missing_http(base_url):
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pii_masking = _OPTIONAL_PresidioPIIMasking(mock_testing=True)
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os.environ["PRESIDIO_ANALYZER_API_BASE"] = f"{base_url}/analyze"
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os.environ["PRESIDIO_ANONYMIZER_API_BASE"] = f"{base_url}/anonymize"
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pii_masking.validate_environment()
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expected_url = base_url
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if not (base_url.startswith("https://") or base_url.startswith("http://")):
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expected_url = "http://" + base_url
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assert (
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pii_masking.presidio_anonymizer_api_base == f"{expected_url}/anonymize/"
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), "Got={}, Expected={}".format(
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pii_masking.presidio_anonymizer_api_base, f"{expected_url}/anonymize/"
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)
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assert pii_masking.presidio_analyzer_api_base == f"{expected_url}/analyze/"
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@pytest.mark.asyncio
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async def test_output_parsing():
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"""
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- have presidio pii masking - mask an input message
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- make llm completion call
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- have presidio pii masking - output parse message
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- assert that no masked tokens are in the input message
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"""
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litellm.output_parse_pii = True
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pii_masking = _OPTIONAL_PresidioPIIMasking(mock_testing=True)
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initial_message = [
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{
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"role": "user",
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"content": "hello world, my name is Jane Doe. My number is: 034453334",
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}
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]
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filtered_message = [
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{
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"role": "user",
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"content": "hello world, my name is <PERSON>. My number is: <PHONE_NUMBER>",
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}
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]
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pii_masking.pii_tokens = {"<PERSON>": "Jane Doe", "<PHONE_NUMBER>": "034453334"}
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response = mock_completion(
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model="gpt-3.5-turbo",
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messages=filtered_message,
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mock_response="Hello <PERSON>! How can I assist you today?",
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)
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new_response = await pii_masking.async_post_call_success_hook(
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user_api_key_dict=UserAPIKeyAuth(),
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data={
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"messages": [{"role": "system", "content": "You are an helpfull assistant"}]
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},
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response=response,
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)
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assert (
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new_response.choices[0].message.content
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== "Hello Jane Doe! How can I assist you today?"
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)
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# asyncio.run(test_output_parsing())
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### UNIT TESTS FOR PRESIDIO PII MASKING ###
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input_a_anonymizer_results = {
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"text": "hello world, my name is <PERSON>. My number is: <PHONE_NUMBER>",
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"items": [
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{
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"start": 48,
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"end": 62,
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"entity_type": "PHONE_NUMBER",
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"text": "<PHONE_NUMBER>",
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"operator": "replace",
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},
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{
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"start": 24,
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"end": 32,
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"entity_type": "PERSON",
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"text": "<PERSON>",
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"operator": "replace",
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},
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],
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}
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input_b_anonymizer_results = {
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"text": "My name is <PERSON>, who are you? Say my name in your response",
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"items": [
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{
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"start": 11,
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"end": 19,
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"entity_type": "PERSON",
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"text": "<PERSON>",
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"operator": "replace",
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}
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],
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}
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# Test if PII masking works with input A
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@pytest.mark.asyncio
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async def test_presidio_pii_masking_input_a():
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"""
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Tests to see if correct parts of sentence anonymized
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"""
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pii_masking = _OPTIONAL_PresidioPIIMasking(
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mock_testing=True, mock_redacted_text=input_a_anonymizer_results
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)
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_api_key = "sk-12345"
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user_api_key_dict = UserAPIKeyAuth(api_key=_api_key)
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local_cache = DualCache()
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new_data = await pii_masking.async_pre_call_hook(
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user_api_key_dict=user_api_key_dict,
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cache=local_cache,
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data={
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"messages": [
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{
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"role": "user",
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"content": "hello world, my name is Jane Doe. My number is: 23r323r23r2wwkl",
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}
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]
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},
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call_type="completion",
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)
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assert "<PERSON>" in new_data["messages"][0]["content"]
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assert "<PHONE_NUMBER>" in new_data["messages"][0]["content"]
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# Test if PII masking works with input B (also test if the response != A's response)
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@pytest.mark.asyncio
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async def test_presidio_pii_masking_input_b():
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"""
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Tests to see if correct parts of sentence anonymized
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"""
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pii_masking = _OPTIONAL_PresidioPIIMasking(
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mock_testing=True, mock_redacted_text=input_b_anonymizer_results
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)
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_api_key = "sk-12345"
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user_api_key_dict = UserAPIKeyAuth(api_key=_api_key)
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local_cache = DualCache()
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new_data = await pii_masking.async_pre_call_hook(
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user_api_key_dict=user_api_key_dict,
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cache=local_cache,
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data={
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"messages": [
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{
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"role": "user",
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"content": "My name is Jane Doe, who are you? Say my name in your response",
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}
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]
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},
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call_type="completion",
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)
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assert "<PERSON>" in new_data["messages"][0]["content"]
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assert "<PHONE_NUMBER>" not in new_data["messages"][0]["content"]
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@pytest.mark.asyncio
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async def test_presidio_pii_masking_logging_output_only_no_pre_api_hook():
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pii_masking = _OPTIONAL_PresidioPIIMasking(
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logging_only=True,
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mock_testing=True,
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mock_redacted_text=input_b_anonymizer_results,
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)
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_api_key = "sk-12345"
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user_api_key_dict = UserAPIKeyAuth(api_key=_api_key)
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local_cache = DualCache()
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test_messages = [
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{
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"role": "user",
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"content": "My name is Jane Doe, who are you? Say my name in your response",
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}
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]
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new_data = await pii_masking.async_pre_call_hook(
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user_api_key_dict=user_api_key_dict,
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cache=local_cache,
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data={"messages": test_messages},
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call_type="completion",
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)
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assert "Jane Doe" in new_data["messages"][0]["content"]
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@pytest.mark.asyncio
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async def test_presidio_pii_masking_logging_output_only_logged_response():
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pii_masking = _OPTIONAL_PresidioPIIMasking(
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logging_only=True,
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mock_testing=True,
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mock_redacted_text=input_b_anonymizer_results,
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)
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test_messages = [
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{
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"role": "user",
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"content": "My name is Jane Doe, who are you? Say my name in your response",
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}
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]
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with patch.object(
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pii_masking, "async_log_success_event", new=AsyncMock()
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) as mock_call:
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litellm.callbacks = [pii_masking]
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response = await litellm.acompletion(
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model="gpt-3.5-turbo", messages=test_messages, mock_response="Hi Peter!"
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)
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await asyncio.sleep(3)
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assert response.choices[0].message.content == "Hi Peter!" # type: ignore
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mock_call.assert_called_once()
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print(mock_call.call_args.kwargs["kwargs"]["messages"][0]["content"])
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assert (
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mock_call.call_args.kwargs["kwargs"]["messages"][0]["content"]
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== "My name is <PERSON>, who are you? Say my name in your response"
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)
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@pytest.mark.asyncio
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async def test_presidio_pii_masking_logging_output_only_logged_response_guardrails_config():
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from typing import Dict, List, Optional
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import litellm
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from litellm.proxy.guardrails.init_guardrails import initialize_guardrails
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from litellm.types.guardrails import GuardrailItem, GuardrailItemSpec
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os.environ["PRESIDIO_ANALYZER_API_BASE"] = "http://localhost:5002"
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os.environ["PRESIDIO_ANONYMIZER_API_BASE"] = "http://localhost:5001"
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guardrails_config: List[Dict[str, GuardrailItemSpec]] = [
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{
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"pii_masking": {
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"callbacks": ["presidio"],
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"default_on": True,
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"logging_only": True,
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}
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}
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]
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litellm_settings = {"guardrails": guardrails_config}
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assert len(litellm.guardrail_name_config_map) == 0
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initialize_guardrails(
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guardrails_config=guardrails_config,
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premium_user=True,
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config_file_path="",
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litellm_settings=litellm_settings,
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)
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assert len(litellm.guardrail_name_config_map) == 1
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pii_masking_obj: Optional[_OPTIONAL_PresidioPIIMasking] = None
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for callback in litellm.callbacks:
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if isinstance(callback, _OPTIONAL_PresidioPIIMasking):
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pii_masking_obj = callback
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assert pii_masking_obj is not None
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assert hasattr(pii_masking_obj, "logging_only")
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assert pii_masking_obj.logging_only is True
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