chore: Add parameters to bin/test (#228)
This commit is contained in:
@@ -3,6 +3,7 @@
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#/ Description: Formats and lints the code
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source bin/helpers/_utils.sh
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set_source_and_root_dir
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ensure_virtual_env
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if [[ "$1" == "--check" ]]; then
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black --check .
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@@ -13,3 +13,14 @@ set_source_and_root_dir() {
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root_dir=$(cd "$source_dir" && cd ../ && pwd)
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cd "$root_dir"
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}
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ensure_virtual_env() {
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if [ -z "$VIRTUAL_ENV" ]; then
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echo "Virtual environment not activated. Activating now..."
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if [ ! -f env/bin/activate ]; then
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echo "Virtual environment not found. Please run 'python -m venv env' first."
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exit 1
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fi
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source env/bin/activate
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fi
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}
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@@ -7,5 +7,6 @@ set_source_and_root_dir
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if [ ! -d "env" ]; then
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python3 -m venv env
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fi
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source env/bin/activate
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pip install -e ".[dev,test]"
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@@ -4,4 +4,7 @@
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source bin/helpers/_utils.sh
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set_source_and_root_dir
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pytest
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ensure_virtual_env
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# Pass through all arguments to pytest
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pytest "$@"
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@@ -3,12 +3,21 @@ import time
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from unittest.mock import patch
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import pytest
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from anthropic.types import Message, Usage
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from posthog.ai.anthropic import Anthropic, AsyncAnthropic
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try:
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from anthropic.types import Message, Usage
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from posthog.ai.anthropic import Anthropic, AsyncAnthropic
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ANTHROPIC_AVAILABLE = True
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except ImportError:
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ANTHROPIC_AVAILABLE = False
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ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY")
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# Skip all tests if Anthropic is not available
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pytestmark = pytest.mark.skipif(not ANTHROPIC_AVAILABLE, reason="Anthropic package is not available")
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@pytest.fixture
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def mock_client():
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@@ -8,19 +8,42 @@ from typing import List, Literal, Optional, TypedDict, Union
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from unittest.mock import patch
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import pytest
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from langchain_anthropic.chat_models import ChatAnthropic
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from langchain_community.chat_models.fake import FakeMessagesListChatModel
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from langchain_community.llms.fake import FakeListLLM, FakeStreamingListLLM
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from langchain_core.messages import AIMessage, HumanMessage
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_core.runnables import RunnableLambda
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from langchain_core.tools import tool
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from langchain_openai.chat_models import ChatOpenAI
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from langgraph.graph.state import END, START, StateGraph
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from langgraph.prebuilt import create_react_agent
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from posthog.ai.langchain import CallbackHandler
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from posthog.ai.langchain.callbacks import GenerationMetadata, SpanMetadata
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try:
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from langchain_anthropic.chat_models import ChatAnthropic
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from langchain_community.chat_models.fake import FakeMessagesListChatModel
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from langchain_community.llms.fake import FakeListLLM, FakeStreamingListLLM
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from langchain_core.messages import AIMessage, HumanMessage
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_core.runnables import RunnableLambda
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from langchain_core.tools import tool
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from langchain_openai.chat_models import ChatOpenAI
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from langgraph.graph.state import END, START, StateGraph
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from langgraph.prebuilt import create_react_agent
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from posthog.ai.langchain import CallbackHandler
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from posthog.ai.langchain.callbacks import GenerationMetadata, SpanMetadata
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LANGCHAIN_AVAILABLE = True
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except ImportError:
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class FakeListLLM:
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pass
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class FakeStreamingListLLM:
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pass
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class HumanMessage:
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pass
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class AIMessage:
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pass
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LANGCHAIN_AVAILABLE = False
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# Skip all tests if LangChain is not available
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pytestmark = pytest.mark.skipif(not LANGCHAIN_AVAILABLE, reason="LangChain package is not available")
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OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
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ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY")
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@@ -3,18 +3,27 @@ import time
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from unittest.mock import patch
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import pytest
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from openai.types.chat import ChatCompletion, ChatCompletionMessage
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from openai.types.chat.chat_completion import Choice
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from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
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from openai.types.chat.chat_completion_chunk import Choice as ChoiceChunk
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from openai.types.chat.chat_completion_chunk import ChoiceDelta, ChoiceDeltaToolCall, ChoiceDeltaToolCallFunction
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from openai.types.chat.chat_completion_message_tool_call import ChatCompletionMessageToolCall, Function
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from openai.types.completion_usage import CompletionUsage
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from openai.types.create_embedding_response import CreateEmbeddingResponse, Usage
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from openai.types.embedding import Embedding
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from openai.types.responses import Response, ResponseOutputMessage, ResponseOutputText, ResponseUsage
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from posthog.ai.openai import OpenAI
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try:
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from openai.types.chat import ChatCompletion, ChatCompletionMessage
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from openai.types.chat.chat_completion import Choice
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from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
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from openai.types.chat.chat_completion_chunk import Choice as ChoiceChunk
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from openai.types.chat.chat_completion_chunk import ChoiceDelta, ChoiceDeltaToolCall, ChoiceDeltaToolCallFunction
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from openai.types.chat.chat_completion_message_tool_call import ChatCompletionMessageToolCall, Function
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from openai.types.completion_usage import CompletionUsage
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from openai.types.create_embedding_response import CreateEmbeddingResponse, Usage
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from openai.types.embedding import Embedding
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from openai.types.responses import Response, ResponseOutputMessage, ResponseOutputText, ResponseUsage
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from posthog.ai.openai import OpenAI
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OPENAI_AVAILABLE = True
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except ImportError:
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OPENAI_AVAILABLE = False
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# Skip all tests if OpenAI is not available
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pytestmark = pytest.mark.skipif(not OPENAI_AVAILABLE, reason="OpenAI package is not available")
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@pytest.fixture
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@@ -69,8 +69,8 @@ class TestFeatureFlag(unittest.TestCase):
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resp = {"code": "user_in_segment"}
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reason = FlagReason.from_json(resp)
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self.assertEqual(reason.code, "user_in_segment")
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self.assertEqual(reason.condition_index, 0) # default value
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self.assertEqual(reason.description, "") # default value
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self.assertIsNone(reason.condition_index) # default value
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self.assertEqual(reason.description, "")
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# Test with None
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self.assertIsNone(FlagReason.from_json(None))
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@@ -1801,15 +1801,16 @@ class TestMatchProperties(unittest.TestCase):
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self.assertFalse(match_property(property_b, {"key": "three"}))
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def test_match_properties_regex(self):
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property_a = self.property(key="key", value="\.com$", operator="regex") # noqa: W605
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property_a = self.property(key="key", value=r"\.com$", operator="regex")
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self.assertTrue(match_property(property_a, {"key": "value.com"}))
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self.assertTrue(match_property(property_a, {"key": "value2.com"}))
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self.assertFalse(match_property(property_a, {"key": "value2com"}))
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self.assertFalse(match_property(property_a, {"key": ".com343tfvalue5"}))
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self.assertFalse(match_property(property_a, {"key": "Alakazam"}))
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self.assertFalse(match_property(property_a, {"key": 123}))
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self.assertFalse(match_property(property_a, {"key": "valuecom"}))
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self.assertFalse(match_property(property_a, {"key": "value\com"})) # noqa: W605
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self.assertFalse(match_property(property_a, {"key": r"value\com"}))
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property_b = self.property(key="key", value="3", operator="regex")
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self.assertTrue(match_property(property_b, {"key": "3"}))
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