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Mock VertexAI class for tests #18

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merged 5 commits into from
Mar 7, 2024
Merged

Mock VertexAI class for tests #18

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6b0512a
mock VertexAI class adn remove gcp auth
megatron6000 Mar 6, 2024
70efeed
comment utf test
megatron6000 Mar 6, 2024
b987dba
mock gemma
megatron6000 Mar 6, 2024
7dc7f78
uncomment utf test
megatron6000 Mar 6, 2024
e55e562
minor formatting fix
megatron6000 Mar 6, 2024
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5 changes: 0 additions & 5 deletions .github/workflows/build.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -17,11 +17,6 @@ jobs:
uses: actions/setup-python@v3
with:
python-version: "3.10.10"
- id: 'auth'
name: 'Authenticate to Google Cloud'
uses: 'google-github-actions/auth@v1'
with:
credentials_json: '${{ secrets.GOOGLE_CREDENTIALS }}'
- name: Install dependencies
run: |
make install-poetry
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113 changes: 63 additions & 50 deletions tests/conftest.py
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Original file line number Diff line number Diff line change
@@ -1,9 +1,11 @@
import asyncio
import typing
from dataclasses import dataclass
from unittest.mock import patch

import pytest
from aioresponses import aioresponses
from langchain_community.llms.fake import FakeListLLM
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from allms.domain.configuration import (
AzureOpenAIConfiguration, AzureSelfDeployedConfiguration, VertexAIConfiguration, VertexAIModelGardenConfiguration)
Expand All @@ -25,59 +27,70 @@ class GenerativeModels:
vertex_palm: typing.Optional[VertexAIPalmModel] = None


class VertexAIMock(FakeListLLM):
def __init__(self, *args, **kwargs):
super().__init__(responses=["{}"])


@pytest.fixture(scope="function")
def models():
event_loop = asyncio.new_event_loop()
return {
"azure_open_ai": AzureOpenAIModel(
config=AzureOpenAIConfiguration(
api_key="dummy_api_key",
base_url=AzureOpenAIEnv.OPENAI_API_BASE,
api_version=AzureOpenAIEnv.OPENAI_API_VERSION,
deployment=AzureOpenAIEnv.OPENAI_DEPLOYMENT_NAME,
model_name="gpt-4"
),
event_loop=event_loop
),
"vertex_palm": VertexAIPalmModel(
config=VertexAIConfiguration(
cloud_project="dummy-project-id",
cloud_location="us-central1"
),
event_loop=event_loop
),
"vertex_gemini": VertexAIGeminiModel(
config=VertexAIConfiguration(
cloud_project="dummy-project-id",
cloud_location="us-central1"
),
event_loop=event_loop
),
"vertex_gemma": VertexAIGemmaModel(
config=VertexAIModelGardenConfiguration(
cloud_project="dummy-project-id",
cloud_location="us-central1",
endpoint_id="dummy-endpoint-id"
),
event_loop=event_loop
),
"azure_llama2": AzureLlama2Model(
config=AzureSelfDeployedConfiguration(
api_key="dummy_api_key",
endpoint_url="https://dummy-endpoint.dummy-region.inference.ml.azure.com/score",
deployment="dummy_deployment_name"
),
event_loop=event_loop
),
"azure_mistral": AzureMistralModel(
config=AzureSelfDeployedConfiguration(
api_key="dummy_api_key",
endpoint_url="https://dummy-endpoint.dummy-region.inference.ml.azure.com/score",
deployment="dummy_deployment_name"
),
event_loop=event_loop
)
}

with (
patch("allms.models.vertexai_palm.CustomVertexAI", VertexAIMock),
patch("allms.models.vertexai_gemini.CustomVertexAI", VertexAIMock),
patch("allms.models.vertexai_gemma.VertexAIModelGardenWrapper", VertexAIMock)
):
return {
"azure_open_ai": AzureOpenAIModel(
config=AzureOpenAIConfiguration(
api_key="dummy_api_key",
base_url=AzureOpenAIEnv.OPENAI_API_BASE,
api_version=AzureOpenAIEnv.OPENAI_API_VERSION,
deployment=AzureOpenAIEnv.OPENAI_DEPLOYMENT_NAME,
model_name="gpt-4"
),
event_loop=event_loop
),
"vertex_palm": VertexAIPalmModel(
config=VertexAIConfiguration(
cloud_project="dummy-project-id",
cloud_location="us-central1"
),
event_loop=event_loop
),
"vertex_gemini": VertexAIGeminiModel(
config=VertexAIConfiguration(
cloud_project="dummy-project-id",
cloud_location="us-central1"
),
event_loop=event_loop
),
"vertex_gemma": VertexAIGemmaModel(
config=VertexAIModelGardenConfiguration(
cloud_project="dummy-project-id",
cloud_location="us-central1",
endpoint_id="dummy-endpoint-id"
),
event_loop=event_loop
),
"azure_llama2": AzureLlama2Model(
config=AzureSelfDeployedConfiguration(
api_key="dummy_api_key",
endpoint_url="https://dummy-endpoint.dummy-region.inference.ml.azure.com/score",
deployment="dummy_deployment_name"
),
event_loop=event_loop
),
"azure_mistral": AzureMistralModel(
config=AzureSelfDeployedConfiguration(
api_key="dummy_api_key",
endpoint_url="https://dummy-endpoint.dummy-region.inference.ml.azure.com/score",
deployment="dummy_deployment_name"
),
event_loop=event_loop
)
}


@pytest.fixture
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