Files
manual_slop/tests/test_gemini_cli_edge_cases.py
Ed_ 2c5476dc5d 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
2026-03-05 20:15:03 -05:00

51 lines
2.0 KiB
Python

import json
import subprocess
from unittest.mock import patch, MagicMock
from src.gemini_cli_adapter import GeminiCliAdapter
from src import mcp_client
def test_gemini_cli_context_bleed_prevention() -> None:
import src.ai_client as ai_client
ai_client._gemini_cli_adapter = None
with patch('src.gemini_cli_adapter.subprocess.Popen') as mock_popen:
adapter = GeminiCliAdapter()
mock_process = MagicMock()
stdout_output = (
'{"type": "message", "role": "user", "content": "Echoed user prompt"}' + "\n" +
'{"type": "message", "role": "model", "content": "Model response"}'
)
mock_process.communicate.return_value = (stdout_output, '')
mock_process.returncode = 0
mock_popen.return_value = mock_process
result = adapter.send("msg")
assert result["text"] == "Model response"
def test_gemini_cli_parameter_resilience() -> None:
from src import mcp_client
with patch('src.mcp_client.read_file', return_value="content") as mock_read:
mcp_client.dispatch("read_file", {"file_path": "aliased.txt"})
mock_read.assert_called_once_with("aliased.txt")
with patch('src.mcp_client.list_directory', return_value="files") as mock_list:
mcp_client.dispatch("list_directory", {"dir_path": "aliased_dir"})
mock_list.assert_called_once_with("aliased_dir")
def test_gemini_cli_loop_termination() -> None:
import src.ai_client as ai_client
ai_client._gemini_cli_adapter = None
with patch('src.gemini_cli_adapter.subprocess.Popen') as mock_popen:
mock_process = MagicMock()
mock_process.communicate.return_value = ('{"type": "message", "content": "Final answer", "tool_calls": []}', "")
mock_process.returncode = 0
mock_popen.return_value = mock_process
ai_client.set_provider("gemini_cli", "gemini-2.0-flash")
result = ai_client.send("context", "prompt")
assert result == "Final answer"