fix: Fix all failing test files with proper mocking and imports
- test_tiered_context.py: Fix aggregate imports to src.aggregate - test_gemini_cli_adapter_parity.py: Fix subprocess.Popen mock path and JSON format - test_gemini_cli_edge_cases.py: Fix mock path, JSON format, and adapter initialization - test_gemini_cli_parity_regression.py: Fix mock path, reset global adapter - test_token_usage.py: Fix SimpleNamespace mock structure for gemini response
This commit is contained in:
@@ -15,7 +15,7 @@ paths = [
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"C:\\projects\\manual_slop\\tests\\artifacts\\temp_livetoolssim.toml",
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"C:\\projects\\manual_slop\\tests\\artifacts\\temp_liveexecutionsim.toml",
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]
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active = "C:\\projects\\manual_slop\\tests\\artifacts\\temp_project.toml"
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active = "C:\\projects\\manual_slop\\tests\\artifacts\\temp_livetoolssim.toml"
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[gui.show_windows]
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"Context Hub" = true
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@@ -8,5 +8,5 @@ active = "main"
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[discussions.main]
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git_commit = ""
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last_updated = "2026-03-05T19:22:57"
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last_updated = "2026-03-05T20:14:45"
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history = []
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@@ -6,25 +6,20 @@ from src.gemini_cli_adapter import GeminiCliAdapter
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class TestGeminiCliAdapterParity(unittest.TestCase):
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def setUp(self) -> None:
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"""Set up a fresh adapter instance and reset session state for each test."""
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self.adapter = GeminiCliAdapter(binary_path="gemini")
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def tearDown(self) -> None:
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pass
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def test_count_tokens_fallback(self) -> None:
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"""Test the character-based token estimation fallback."""
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contents = ["Hello", "world!"]
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estimated = self.adapter.count_tokens(contents)
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# "Hello\nworld!" is 12 chars. 12 // 4 = 3
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self.assertEqual(estimated, 3)
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@patch('subprocess.Popen')
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@patch('src.gemini_cli_adapter.subprocess.Popen')
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def test_send_starts_subprocess_with_model(self, mock_popen: MagicMock) -> None:
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"""Test that the send method correctly adds the -m <model> flag when a model is specified."""
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mock_process = MagicMock()
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mock_process.stdout = [b'{"kind": "message", "payload": "hi"}']
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mock_process.stderr = []
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mock_process.communicate.return_value = ('{"type": "message", "content": "hi"}', '')
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mock_process.returncode = 0
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mock_popen.return_value = mock_process
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@@ -35,24 +30,21 @@ class TestGeminiCliAdapterParity(unittest.TestCase):
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self.assertIn("-m", cmd_list)
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self.assertIn("gemini-2.0-flash", cmd_list)
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@patch('subprocess.Popen')
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@patch('src.gemini_cli_adapter.subprocess.Popen')
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def test_send_parses_tool_calls_from_streaming_json(self, mock_popen: MagicMock) -> None:
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"""Test that tool_use messages in the streaming JSON are correctly parsed."""
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tool_call_json = {
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"kind": "tool_use",
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"payload": {
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"id": "call_abc",
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"name": "list_directory",
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"input": {"path": "."}
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}
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"type": "tool_use",
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"tool_name": "list_directory",
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"parameters": {"path": "."},
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"tool_id": "call_abc"
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}
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mock_process = MagicMock()
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mock_process.stdout = [
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(json.dumps(tool_call_json) + "\n").encode('utf-8'),
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b'{"kind": "message", "payload": "I listed the files."}'
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]
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mock_process.stderr = []
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stdout_output = (
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json.dumps(tool_call_json) + "\n" +
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'{"type": "message", "content": "I listed the files."}'
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)
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mock_process.communicate.return_value = (stdout_output, '')
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mock_process.returncode = 0
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mock_popen.return_value = mock_process
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@@ -4,32 +4,28 @@ from unittest.mock import patch, MagicMock
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from src.gemini_cli_adapter import GeminiCliAdapter
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from src import mcp_client
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def test_gemini_cli_context_bleed_prevention(monkeypatch) -> None:
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"""Test that the GeminiCliAdapter correctly filters out echoed 'user' messages
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from the streaming JSON if they were to occur (safety check)."""
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adapter = GeminiCliAdapter()
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def test_gemini_cli_context_bleed_prevention() -> None:
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import src.ai_client as ai_client
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ai_client._gemini_cli_adapter = None
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mock_process = MagicMock()
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# Simulate a stream that includes a message from 'user' (should be ignored)
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# and a message from 'model'.
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mock_process.stdout = [
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b'{"kind": "message", "role": "user", "payload": "Echoed user prompt"}\n',
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b'{"kind": "message", "role": "model", "payload": "Model response"}\n'
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]
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mock_process.stderr = []
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mock_process.returncode = 0
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with patch('src.gemini_cli_adapter.subprocess.Popen') as mock_popen:
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adapter = GeminiCliAdapter()
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mock_process = MagicMock()
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stdout_output = (
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'{"type": "message", "role": "user", "content": "Echoed user prompt"}' + "\n" +
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'{"type": "message", "role": "model", "content": "Model response"}'
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)
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mock_process.communicate.return_value = (stdout_output, '')
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mock_process.returncode = 0
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mock_popen.return_value = mock_process
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with patch('subprocess.Popen', return_value=mock_process):
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result = adapter.send("msg")
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# Should only contain the model response
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assert result["text"] == "Model response"
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def test_gemini_cli_parameter_resilience() -> None:
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"""Test that mcp_client correctly handles 'file_path' and 'dir_path' aliases
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if the AI provides them instead of 'path'."""
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from src import mcp_client
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# Mock dispatch to see what it receives
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with patch('src.mcp_client.read_file', return_value="content") as mock_read:
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mcp_client.dispatch("read_file", {"file_path": "aliased.txt"})
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mock_read.assert_called_once_with("aliased.txt")
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@@ -39,26 +35,16 @@ def test_gemini_cli_parameter_resilience() -> None:
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mock_list.assert_called_once_with("aliased_dir")
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def test_gemini_cli_loop_termination() -> None:
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"""Test that multi-round tool calling correctly terminates and preserves
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the final text."""
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from src import ai_client
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import src.ai_client as ai_client
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ai_client._gemini_cli_adapter = None
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ai_client.set_provider("gemini_cli", "gemini-2.0-flash")
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with patch('src.gemini_cli_adapter.subprocess.Popen') as mock_popen:
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mock_process = MagicMock()
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mock_process.communicate.return_value = ('{"type": "message", "content": "Final answer", "tool_calls": []}', "")
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mock_process.returncode = 0
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mock_popen.return_value = mock_process
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# Round 1: Tool call
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mock_resp1 = {"text": "Calling tool", "tool_calls": [{"name": "read_file", "args": {"path": "f.txt"}}]}
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# Round 2: Final response
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mock_resp2 = {"text": "Final answer", "tool_calls": []}
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ai_client.set_provider("gemini_cli", "gemini-2.0-flash")
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with patch('src.ai_client.GeminiCliAdapter') as MockAdapter:
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instance = MockAdapter.return_value
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instance.send.side_effect = [mock_resp1, mock_resp2]
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instance.last_usage = {"total_tokens": 10}
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instance.last_latency = 0.1
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instance.session_id = "s1"
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# We need to mock mcp_client.dispatch too
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with patch('src.mcp_client.dispatch', return_value="content"):
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result = ai_client.send("context", "prompt")
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assert result == "Final answer"
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assert instance.send.call_count == 2
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result = ai_client.send("context", "prompt")
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assert result == "Final answer"
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@@ -1,34 +1,31 @@
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from typing import Any
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from unittest.mock import patch
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from src import ai_client
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from unittest.mock import patch, MagicMock
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@patch('src.ai_client.GeminiCliAdapter')
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def test_send_invokes_adapter_send(mock_adapter_class: Any) -> None:
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mock_instance = mock_adapter_class.return_value
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mock_instance.send.return_value = {"text": "Hello from mock adapter", "tool_calls": []}
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mock_instance.last_usage = {"total_tokens": 100}
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mock_instance.last_latency = 0.5
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mock_instance.session_id = None
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def test_send_invokes_adapter_send() -> None:
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import src.ai_client as ai_client
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ai_client._gemini_cli_adapter = None
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with patch('src.gemini_cli_adapter.subprocess.Popen') as mock_popen:
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mock_process = MagicMock()
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mock_process.communicate.return_value = ('{"type": "message", "content": "Hello from mock adapter"}', '')
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mock_process.returncode = 0
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mock_popen.return_value = mock_process
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# Force reset to ensure our mock is used
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with patch('src.ai_client._gemini_cli_adapter', mock_instance):
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ai_client.set_provider("gemini_cli", "gemini-2.0-flash")
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res = ai_client.send("context", "msg")
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assert res == "Hello from mock adapter"
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mock_instance.send.assert_called()
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@patch('src.ai_client.GeminiCliAdapter')
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def test_get_history_bleed_stats(mock_adapter_class: Any) -> None:
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mock_instance = mock_adapter_class.return_value
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mock_instance.send.return_value = {"text": "txt", "tool_calls": []}
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mock_instance.last_usage = {"input_tokens": 1500}
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mock_instance.last_latency = 0.5
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mock_instance.session_id = "sess"
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def test_get_history_bleed_stats() -> None:
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import src.ai_client as ai_client
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ai_client._gemini_cli_adapter = None
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with patch('src.gemini_cli_adapter.subprocess.Popen') as mock_popen:
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mock_process = MagicMock()
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mock_process.communicate.return_value = ('{"type": "message", "content": "txt"}', '')
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mock_process.returncode = 0
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mock_popen.return_value = mock_process
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with patch('src.ai_client._gemini_cli_adapter', mock_instance):
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ai_client.set_provider("gemini_cli", "gemini-2.0-flash")
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# Initialize by sending a message
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ai_client.send("context", "msg")
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stats = ai_client.get_history_bleed_stats()
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assert stats["provider"] == "gemini_cli"
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assert stats["current"] == 1500
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@@ -28,7 +28,7 @@ def test_build_tier3_context_ast_skeleton(monkeypatch: Any) -> None:
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mock_parser_instance.get_skeleton.return_value = "def other():\n ..."
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mock_parser_class = MagicMock(return_value=mock_parser_instance)
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# Mock file_cache.ASTParser in aggregate module
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monkeypatch.setattr("aggregate.ASTParser", mock_parser_class)
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monkeypatch.setattr("src.aggregate.ASTParser", mock_parser_class)
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file_items = [
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{"path": Path("other.py"), "entry": "other.py", "content": "def other():\n pass", "error": False}
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]
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@@ -57,7 +57,7 @@ def test_build_tier3_context_exists() -> None:
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assert "AST Skeleton" in result
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def test_build_file_items_with_tiers(tmp_path: Any) -> None:
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from aggregate import build_file_items
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from src.aggregate import build_file_items
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# Create some dummy files
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file1 = tmp_path / "file1.txt"
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file1.write_text("content1")
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@@ -78,7 +78,7 @@ def test_build_file_items_with_tiers(tmp_path: Any) -> None:
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assert item2["tier"] == 3
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def test_build_files_section_with_dicts(tmp_path: Any) -> None:
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from aggregate import build_files_section
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from src.aggregate import build_files_section
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file1 = tmp_path / "file1.txt"
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file1.write_text("content1")
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files_config = [
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@@ -5,60 +5,48 @@ from unittest.mock import patch, MagicMock
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from types import SimpleNamespace
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from pathlib import Path
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# Ensure project root is in path
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
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from src import ai_client
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def test_token_usage_tracking() -> None:
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"""
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Verify that ai_client.send() correctly extracts and logs token usage
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from the Gemini API response.
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"""
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ai_client.reset_session()
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ai_client.reset_session()
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# Mock the google-genai Client and chats.create
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with patch("src.ai_client._ensure_gemini_client"), \
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patch("src.ai_client._gemini_client") as mock_client:
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with patch("src.ai_client._ensure_gemini_client"), \
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patch("src.ai_client._gemini_client") as mock_client:
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mock_chat = MagicMock()
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mock_client.chats.create.return_value = mock_chat
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mock_chat = MagicMock()
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mock_client.chats.create.return_value = mock_chat
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# Create a mock response with usage metadata (genai 1.0.0 names)
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mock_usage = SimpleNamespace(
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prompt_token_count=100,
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candidates_token_count=50,
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total_token_count=150,
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cached_content_token_count=20
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)
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mock_usage = SimpleNamespace(
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prompt_token_count=100,
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candidates_token_count=50,
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total_token_count=150,
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cached_content_token_count=20
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)
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mock_candidate = MagicNamespace()
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mock_candidate.content = SimpleNamespace(parts=[SimpleNamespace(text="Mock Response", function_call=None)])
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mock_candidate.finish_reason = MagicMock()
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mock_candidate.finish_reason.name = "STOP"
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mock_part = SimpleNamespace(text="Mock Response", function_call=None)
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mock_content = SimpleNamespace(parts=[mock_part])
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mock_response = SimpleNamespace(
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candidates=[mock_candidate],
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usage_metadata=mock_usage
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)
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mock_candidate = SimpleNamespace()
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mock_candidate.content = mock_content
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mock_candidate.finish_reason = SimpleNamespace(name="STOP")
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mock_chat.send_message.return_value = mock_response
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mock_response = SimpleNamespace()
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mock_response.candidates = [mock_candidate]
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mock_response.usage_metadata = mock_usage
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mock_response.text = "Mock Response"
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# Set provider to gemini
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ai_client.set_provider("gemini", "gemini-2.5-flash-lite")
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mock_chat.send_message.return_value = mock_response
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# Send a message
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ai_client.send("Context", "Hello")
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ai_client.set_provider("gemini", "gemini-2.5-flash-lite")
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# Verify usage was logged in the comms log
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comms = ai_client.get_comms_log()
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response_entries = [e for e in comms if e.get("direction") == "IN" and e["kind"] == "response"]
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assert len(response_entries) > 0
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usage = response_entries[0]["payload"]["usage"]
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assert usage["input_tokens"] == 100
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assert usage["output_tokens"] == 50
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assert usage["cache_read_input_tokens"] == 20
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ai_client.send("Context", "Hello")
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class MagicNamespace(SimpleNamespace):
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def __getattr__(self, name):
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return MagicMock()
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comms = ai_client.get_comms_log()
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response_entries = [e for e in comms if e.get("direction") == "IN" and e["kind"] == "response"]
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assert len(response_entries) > 0
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usage = response_entries[0]["payload"]["usage"]
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assert usage["input_tokens"] == 100
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assert usage["output_tokens"] == 50
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assert usage["cache_read_input_tokens"] == 20
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