jeans/core
jeans/core
1
0
Fork 0
mirror of https://github.com/home-assistant/core.git synced 2025-07-15 01:07:10 +00:00
Code Issues Packages Projects Releases Wiki Activity

Google Generative AI: 100% test coverage for conversation (#118112)

Browse Source 
100% coverage for conversation
This commit is contained in:
tronikos 2024-05-25 04:52:20 -07:00 committed by GitHub
parent 8fbe39f2a7
commit 0182bfcc81
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
3 changed files with 214 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
homeassistant/components/google_generative_ai_conversation/conversation.py
View File

@ -5,7 +5,7 @@ from __future__ import annotations
from typing import Any, Literal
import google.ai.generativelanguage as glm
from google.api_core.exceptions import ClientError
from google.api_core.exceptions import GoogleAPICallError
import google.generativeai as genai
import google.generativeai.types as genai_types
import voluptuous as vol
@ -258,7 +258,7 @@ class GoogleGenerativeAIConversationEntity(
try:
chat_response = await chat.send_message_async(chat_request)
except (
ClientError,
GoogleAPICallError,
ValueError,
genai_types.BlockedPromptException,
genai_types.StopCandidateException,

110
tests/components/google_generative_ai_conversation/snapshots/test_conversation.ambr
View File

@ -1,4 +1,114 @@
# serializer version: 1
# name: test_chat_history
list([
tuple(
'',
tuple(
),
dict({
'generation_config': dict({
'max_output_tokens': 150,
'temperature': 1.0,
'top_k': 64,
'top_p': 0.95,
}),
'model_name': 'models/gemini-1.5-flash-latest',
'safety_settings': dict({
'DANGEROUS': 'BLOCK_MEDIUM_AND_ABOVE',
'HARASSMENT': 'BLOCK_MEDIUM_AND_ABOVE',
'HATE': 'BLOCK_MEDIUM_AND_ABOVE',
'SEXUAL': 'BLOCK_MEDIUM_AND_ABOVE',
}),
'tools': None,
}),
),
tuple(
'().start_chat',
tuple(
),
dict({
'history': list([
dict({
'parts': '''
Answer in plain text. Keep it simple and to the point.
Only if the user wants to control a device, tell them to edit the AI configuration and allow access to Home Assistant.
''',
'role': 'user',
}),
dict({
'parts': 'Ok',
'role': 'model',
}),
]),
}),
),
tuple(
'().start_chat().send_message_async',
tuple(
'1st user request',
),
dict({
}),
),
tuple(
'',
tuple(
),
dict({
'generation_config': dict({
'max_output_tokens': 150,
'temperature': 1.0,
'top_k': 64,
'top_p': 0.95,
}),
'model_name': 'models/gemini-1.5-flash-latest',
'safety_settings': dict({
'DANGEROUS': 'BLOCK_MEDIUM_AND_ABOVE',
'HARASSMENT': 'BLOCK_MEDIUM_AND_ABOVE',
'HATE': 'BLOCK_MEDIUM_AND_ABOVE',
'SEXUAL': 'BLOCK_MEDIUM_AND_ABOVE',
}),
'tools': None,
}),
),
tuple(
'().start_chat',
tuple(
),
dict({
'history': list([
dict({
'parts': '''
Answer in plain text. Keep it simple and to the point.
Only if the user wants to control a device, tell them to edit the AI configuration and allow access to Home Assistant.
''',
'role': 'user',
}),
dict({
'parts': 'Ok',
'role': 'model',
}),
dict({
'parts': '1st user request',
'role': 'user',
}),
dict({
'parts': '1st model response',
'role': 'model',
}),
]),
}),
),
tuple(
'().start_chat().send_message_async',
tuple(
'2nd user request',
),
dict({
}),
),
])
# ---
# name: test_default_prompt[config_entry_options0-None]
list([
tuple(

105
tests/components/google_generative_ai_conversation/test_conversation.py
View File

@ -2,7 +2,8 @@
from unittest.mock import AsyncMock, MagicMock, patch
from google.api_core.exceptions import ClientError
from google.api_core.exceptions import GoogleAPICallError
import google.generativeai.types as genai_types
import pytest
from syrupy.assertion import SnapshotAssertion
import voluptuous as vol
@ -150,6 +151,57 @@ async def test_default_prompt(
assert mock_get_tools.called == (CONF_LLM_HASS_API in config_entry_options)
async def test_chat_history(
hass: HomeAssistant,
mock_config_entry: MockConfigEntry,
mock_init_component,
snapshot: SnapshotAssertion,
) -> None:
"""Test that the agent keeps track of the chat history."""
with patch("google.generativeai.GenerativeModel") as mock_model:
mock_chat = AsyncMock()
mock_model.return_value.start_chat.return_value = mock_chat
chat_response = MagicMock()
mock_chat.send_message_async.return_value = chat_response
mock_part = MagicMock()
mock_part.function_call = None
chat_response.parts = [mock_part]
chat_response.text = "1st model response"
mock_chat.history = [
{"role": "user", "parts": "prompt"},
{"role": "model", "parts": "Ok"},
{"role": "user", "parts": "1st user request"},
{"role": "model", "parts": "1st model response"},
]
result = await conversation.async_converse(
hass,
"1st user request",
None,
Context(),
agent_id=mock_config_entry.entry_id,
)
assert result.response.response_type == intent.IntentResponseType.ACTION_DONE
assert (
result.response.as_dict()["speech"]["plain"]["speech"]
== "1st model response"
)
chat_response.text = "2nd model response"
result = await conversation.async_converse(
hass,
"2nd user request",
result.conversation_id,
Context(),
agent_id=mock_config_entry.entry_id,
)
assert result.response.response_type == intent.IntentResponseType.ACTION_DONE
assert (
result.response.as_dict()["speech"]["plain"]["speech"]
== "2nd model response"
)
assert [tuple(mock_call) for mock_call in mock_model.mock_calls] == snapshot
@patch(
"homeassistant.components.google_generative_ai_conversation.conversation.llm.AssistAPI.async_get_tools"
)
@ -325,7 +377,7 @@ async def test_error_handling(
with patch("google.generativeai.GenerativeModel") as mock_model:
mock_chat = AsyncMock()
mock_model.return_value.start_chat.return_value = mock_chat
mock_chat.send_message_async.side_effect = ClientError("some error")
mock_chat.send_message_async.side_effect = GoogleAPICallError("some error")
result = await conversation.async_converse(
hass, "hello", None, Context(), agent_id=mock_config_entry.entry_id
)
@ -340,7 +392,28 @@ async def test_error_handling(
async def test_blocked_response(
hass: HomeAssistant, mock_config_entry: MockConfigEntry, mock_init_component
) -> None:
"""Test response was blocked."""
"""Test blocked response."""
with patch("google.generativeai.GenerativeModel") as mock_model:
mock_chat = AsyncMock()
mock_model.return_value.start_chat.return_value = mock_chat
mock_chat.send_message_async.side_effect = genai_types.StopCandidateException(
"finish_reason: SAFETY\n"
)
result = await conversation.async_converse(
hass, "hello", None, Context(), agent_id=mock_config_entry.entry_id
)
assert result.response.response_type == intent.IntentResponseType.ERROR, result
assert result.response.error_code == "unknown", result
assert result.response.as_dict()["speech"]["plain"]["speech"] == (
"The message got blocked by your safety settings"
)
async def test_empty_response(
hass: HomeAssistant, mock_config_entry: MockConfigEntry, mock_init_component
) -> None:
"""Test empty response."""
with patch("google.generativeai.GenerativeModel") as mock_model:
mock_chat = AsyncMock()
mock_model.return_value.start_chat.return_value = mock_chat
@ -358,6 +431,32 @@ async def test_blocked_response(
)
async def test_invalid_llm_api(
hass: HomeAssistant,
mock_config_entry: MockConfigEntry,
mock_init_component,
) -> None:
"""Test handling of invalid llm api."""
hass.config_entries.async_update_entry(
mock_config_entry,
options={**mock_config_entry.options, CONF_LLM_HASS_API: "invalid_llm_api"},
)
result = await conversation.async_converse(
hass,
"hello",
None,
Context(),
agent_id=mock_config_entry.entry_id,
)
assert result.response.response_type == intent.IntentResponseType.ERROR, result
assert result.response.error_code == "unknown", result
assert result.response.as_dict()["speech"]["plain"]["speech"] == (
"Error preparing LLM API: API invalid_llm_api not found"
)
async def test_template_error(
hass: HomeAssistant, mock_config_entry: MockConfigEntry
) -> None: