wehub-resource-sync
124 lines
3.6 KiB
Python
124 lines
3.6 KiB
Python
"""Tests for the Z.ai OpenAI-chat Coding Plan provider."""
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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from free_claude_code.application.errors import InvalidRequestError
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from free_claude_code.config.constants import ANTHROPIC_DEFAULT_MAX_OUTPUT_TOKENS
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from free_claude_code.config.provider_catalog import ZAI_DEFAULT_BASE
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from free_claude_code.core.anthropic.models import Message, MessagesRequest
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from free_claude_code.providers.base import ProviderConfig
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from free_claude_code.providers.openai_chat import OpenAIChatProvider
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from tests.providers.support import passthrough_rate_limiter, profiled_provider
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@pytest.fixture
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def zai_provider():
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return profiled_provider(
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"zai",
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ProviderConfig(
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api_key="test_zai_key",
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base_url=ZAI_DEFAULT_BASE,
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rate_limit=10,
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rate_window=60,
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enable_thinking=True,
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),
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rate_limiter=passthrough_rate_limiter(),
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)
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def test_init_uses_openai_chat_coding_endpoint(zai_provider):
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assert isinstance(zai_provider, OpenAIChatProvider)
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assert zai_provider._api_key == "test_zai_key"
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assert zai_provider._base_url == "https://api.z.ai/api/coding/paas/v4"
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def test_build_request_body_openai_chat(zai_provider):
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request = MessagesRequest(
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model="glm-5.2",
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max_tokens=100,
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messages=[Message(role="user", content="Hello")],
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)
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body = zai_provider._build_request_body(request)
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assert body["model"] == "glm-5.2"
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assert body["max_tokens"] == 100
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assert body["messages"] == [{"role": "user", "content": "Hello"}]
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assert body["extra_body"]["thinking"] == {
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"type": "enabled",
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"clear_thinking": False,
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}
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def test_build_request_body_default_max_tokens(zai_provider):
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request = MessagesRequest(
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model="m",
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messages=[Message(role="user", content="x")],
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)
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body = zai_provider._build_request_body(request)
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assert body["max_tokens"] == ANTHROPIC_DEFAULT_MAX_OUTPUT_TOKENS
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def test_build_request_body_rejects_caller_extra_body(zai_provider):
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request = MessagesRequest.model_validate(
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{
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"model": "m",
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"messages": [{"role": "user", "content": "x"}],
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"extra_body": {"x": 1},
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}
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)
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with pytest.raises(InvalidRequestError, match=r"Z\.ai Chat Completions"):
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zai_provider._build_request_body(request)
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def test_build_request_body_disables_zai_thinking(zai_provider):
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request = MessagesRequest.model_validate(
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{
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"model": "m",
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"messages": [{"role": "user", "content": "x"}],
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"thinking": {"type": "disabled"},
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}
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)
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body = zai_provider._build_request_body(request)
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assert body["extra_body"]["thinking"] == {"type": "disabled"}
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def test_build_request_body_replays_prior_reasoning_content(zai_provider):
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request = MessagesRequest.model_validate(
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{
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"model": "glm-5.2",
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"messages": [
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{
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"role": "assistant",
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"content": [{"type": "thinking", "thinking": "prior"}],
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},
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{"role": "user", "content": "continue"},
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],
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}
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)
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body = zai_provider._build_request_body(request)
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assert body["messages"][0]["reasoning_content"] == "prior"
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assert body["extra_body"]["thinking"] == {
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"type": "enabled",
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"clear_thinking": False,
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}
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@pytest.mark.asyncio
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async def test_cleanup_closes_openai_client(zai_provider):
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zai_provider._client = MagicMock()
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zai_provider._client.close = AsyncMock()
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await zai_provider.cleanup()
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zai_provider._client.close.assert_awaited_once()
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