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https://github.com/EvolutionAPI/adk-python.git
synced 2025-07-14 01:41:25 -06:00
chore: fix fast api ut
PiperOrigin-RevId: 764935253
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@ -23,21 +23,23 @@ from types import SimpleNamespace
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from typing import Any
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from typing import Any
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from typing import Dict
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from typing import Dict
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from typing import List
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from typing import List
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from typing import Optional
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from typing import Tuple
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from typing import Tuple
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import click
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import click
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from click.testing import CliRunner
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from click.testing import CliRunner
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from google.adk.cli import cli_tools_click
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from google.adk.cli import cli_tools_click
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from google.adk.evaluation import local_eval_set_results_manager
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from google.adk.evaluation import local_eval_set_results_manager
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from google.adk.sessions import Session
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from pydantic import BaseModel
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import pytest
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import pytest
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# Helpers
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# Helpers
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class _Recorder:
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class _Recorder(BaseModel):
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"""Callable that records every invocation."""
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"""Callable that records every invocation."""
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def __init__(self) -> None:
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calls: List[Tuple[Tuple[Any, ...], Dict[str, Any]]] = []
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self.calls: List[Tuple[Tuple[Any, ...], Dict[str, Any]]] = []
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def __call__(self, *args: Any, **kwargs: Any) -> None: # noqa: D401
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def __call__(self, *args: Any, **kwargs: Any) -> None: # noqa: D401
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self.calls.append((args, kwargs))
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self.calls.append((args, kwargs))
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@ -254,30 +256,23 @@ def test_cli_eval_success_path(
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def __init__(self, metric_name: str, threshold: float) -> None:
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def __init__(self, metric_name: str, threshold: float) -> None:
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...
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...
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class _EvalCaseResult:
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class _EvalCaseResult(BaseModel):
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eval_set_id: str
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eval_id: str
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final_eval_status: Any
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user_id: str
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session_id: str
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session_details: Optional[Session] = None
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eval_metric_results: list = {}
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overall_eval_metric_results: list = {}
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eval_metric_result_per_invocation: list = {}
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def __init__(
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class EvalCase(BaseModel):
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self,
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eval_id: str
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eval_set_id: str,
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final_eval_status: str,
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user_id: str,
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session_id: str,
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) -> None:
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self.eval_set_id = eval_set_id
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self.final_eval_status = final_eval_status
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self.user_id = user_id
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self.session_id = session_id
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class EvalCase:
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class EvalSet(BaseModel):
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eval_set_id: str
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def __init__(self, eval_id: str):
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eval_cases: list[EvalCase]
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self.eval_id = eval_id
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class EvalSet:
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def __init__(self, eval_set_id: str, eval_cases: list[EvalCase]):
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self.eval_set_id = eval_set_id
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self.eval_cases = eval_cases
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def mock_save_eval_set_result(cls, *args, **kwargs):
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def mock_save_eval_set_result(cls, *args, **kwargs):
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return None
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return None
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@ -302,13 +297,38 @@ def test_cli_eval_success_path(
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stub.try_get_reset_func = lambda _p: None
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stub.try_get_reset_func = lambda _p: None
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stub.parse_and_get_evals_to_run = lambda _paths: {"set1.json": ["e1", "e2"]}
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stub.parse_and_get_evals_to_run = lambda _paths: {"set1.json": ["e1", "e2"]}
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eval_sets_manager_stub.load_eval_set_from_file = lambda x, y: EvalSet(
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eval_sets_manager_stub.load_eval_set_from_file = lambda x, y: EvalSet(
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"test_eval_set_id", [EvalCase("e1"), EvalCase("e2")]
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eval_set_id="test_eval_set_id",
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eval_cases=[EvalCase(eval_id="e1"), EvalCase(eval_id="e2")],
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)
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)
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# Create an async generator function for run_evals
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# Create an async generator function for run_evals
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async def mock_run_evals(*_a, **_k):
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async def mock_run_evals(*_a, **_k):
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yield _EvalCaseResult("set1.json", "PASSED", "user", "session1")
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yield _EvalCaseResult(
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yield _EvalCaseResult("set1.json", "FAILED", "user", "session2")
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eval_set_id="set1.json",
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eval_id="e1",
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final_eval_status=_EvalStatus.PASSED,
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user_id="user",
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session_id="session1",
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overall_eval_metric_results=[{
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"metricName": "some_metric",
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"threshold": 0.0,
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"score": 1.0,
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"evalStatus": _EvalStatus.PASSED,
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}],
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)
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yield _EvalCaseResult(
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eval_set_id="set1.json",
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eval_id="e2",
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final_eval_status=_EvalStatus.FAILED,
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user_id="user",
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session_id="session2",
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overall_eval_metric_results=[{
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"metricName": "some_metric",
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"threshold": 0.0,
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"score": 0.0,
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"evalStatus": _EvalStatus.FAILED,
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}],
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)
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stub.run_evals = mock_run_evals
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stub.run_evals = mock_run_evals
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@ -324,9 +344,11 @@ def test_cli_eval_success_path(
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monkeypatch.setattr(cli_tools_click.asyncio, "run", mock_asyncio_run)
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monkeypatch.setattr(cli_tools_click.asyncio, "run", mock_asyncio_run)
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# inject stub
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# inject stub
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sys.modules["google.adk.cli.cli_eval"] = stub
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monkeypatch.setitem(sys.modules, "google.adk.cli.cli_eval", stub)
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sys.modules["google.adk.evaluation.local_eval_sets_manager"] = (
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monkeypatch.setitem(
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eval_sets_manager_stub
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sys.modules,
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"google.adk.evaluation.local_eval_sets_manager",
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eval_sets_manager_stub,
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)
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)
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# create dummy agent directory
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# create dummy agent directory
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@ -15,6 +15,8 @@
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import asyncio
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import asyncio
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import logging
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import logging
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import time
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import time
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from typing import Any
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from typing import Optional
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from unittest.mock import MagicMock
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from unittest.mock import MagicMock
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from unittest.mock import patch
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from unittest.mock import patch
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@ -30,6 +32,7 @@ from google.adk.events import Event
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from google.adk.runners import Runner
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from google.adk.runners import Runner
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from google.adk.sessions.base_session_service import ListSessionsResponse
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from google.adk.sessions.base_session_service import ListSessionsResponse
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from google.genai import types
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from google.genai import types
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from pydantic import BaseModel
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import pytest
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import pytest
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# Configure logging to help diagnose server startup issues
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# Configure logging to help diagnose server startup issues
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@ -113,6 +116,40 @@ async def dummy_run_async(
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yield _event_3()
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yield _event_3()
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# Define a local mock for EvalCaseResult specific to fast_api tests
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class _MockEvalCaseResult(BaseModel):
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eval_set_id: str
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eval_id: str
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final_eval_status: Any
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user_id: str
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session_id: str
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eval_set_file: str
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eval_metric_results: list = {}
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overall_eval_metric_results: list = ({},)
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eval_metric_result_per_invocation: list = {}
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# Mock for the run_evals function, tailored for test_run_eval
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async def mock_run_evals_for_fast_api(*args, **kwargs):
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# This is what the test_run_eval expects for its assertions
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yield _MockEvalCaseResult(
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eval_set_id="test_eval_set_id", # Matches expected in verify_eval_case_result
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eval_id="test_eval_case_id", # Matches expected
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final_eval_status=1, # Matches expected (assuming 1 is PASSED)
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user_id="test_user", # Placeholder, adapt if needed
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session_id="test_session_for_eval_case", # Placeholder
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overall_eval_metric_results=[{ # Matches expected
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"metricName": "tool_trajectory_avg_score",
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"threshold": 0.5,
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"score": 1.0,
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"evalStatus": 1,
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}],
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# Provide other fields if RunEvalResult or subsequent processing needs them
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eval_metric_results=[],
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eval_metric_result_per_invocation=[],
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)
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#################################################
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#################################################
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# Test Fixtures
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# Test Fixtures
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#################################################
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#################################################
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@ -414,6 +451,10 @@ def test_app(
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"google.adk.cli.fast_api.LocalEvalSetResultsManager",
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"google.adk.cli.fast_api.LocalEvalSetResultsManager",
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return_value=mock_eval_set_results_manager,
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return_value=mock_eval_set_results_manager,
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),
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),
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patch(
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"google.adk.cli.cli_eval.run_evals", # Patch where it's imported in fast_api.py
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new=mock_run_evals_for_fast_api,
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),
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):
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):
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# Get the FastAPI app, but don't actually run it
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# Get the FastAPI app, but don't actually run it
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app = get_fast_api_app(
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app = get_fast_api_app(
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@ -613,13 +654,6 @@ def test_list_artifact_names(test_app, create_test_session):
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logger.info(f"Listed {len(data)} artifacts")
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logger.info(f"Listed {len(data)} artifacts")
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def test_get_eval_set_not_found(test_app):
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"""Test getting an eval set that doesn't exist."""
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url = "/apps/test_app_name/eval_sets/test_eval_set_id_not_found"
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response = test_app.get(url)
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assert response.status_code == 404
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def test_create_eval_set(test_app, test_session_info):
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def test_create_eval_set(test_app, test_session_info):
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"""Test creating an eval set."""
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"""Test creating an eval set."""
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url = f"/apps/{test_session_info['app_name']}/eval_sets/test_eval_set_id"
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url = f"/apps/{test_session_info['app_name']}/eval_sets/test_eval_set_id"
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