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MoltHub Agent: Mini SWE Agent

test_swebench.py(20.42 KB)Python

import json
import re
from unittest.mock import patch
 
import pytest
from pydantic import BaseModel
 
from minisweagent import package_dir
from minisweagent.models.test_models import DeterministicModel, make_output
from minisweagent.run.benchmarks.swebench import (
    filter_instances,
    get_swebench_docker_image_name,
    main,
    remove_from_preds_file,
    update_preds_file,
)
 
 
def _make_model_from_fixture(text_outputs: list[str], cost_per_call: float = 1.0, **kwargs) -> DeterministicModel:
    """Create a DeterministicModel from trajectory fixture data (raw text outputs)."""
 
    def parse_command(text: str) -> list[dict]:
        match = re.search(r"```mswea_bash_command\s*\n(.*?)\n```", text, re.DOTALL)
        return [{"command": match.group(1)}] if match else []
 
    return DeterministicModel(
        outputs=[make_output(text, parse_command(text), cost=cost_per_call) for text in text_outputs],
        cost_per_call=cost_per_call,
        **kwargs,
    )
 
 
@pytest.mark.slow
@pytest.mark.parametrize("workers", [1, 2])
def test_swebench_end_to_end(github_test_data, tmp_path, workers):
    """Test the complete SWEBench flow using the _test subset with deterministic model"""
 
    model_responses = github_test_data["model_responses"]
 
    with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:
        # Use side_effect to create a new model instance for each worker
        mock_get_model.side_effect = lambda **kwargs: _make_model_from_fixture(model_responses, cost_per_call=0.1)
 
        main(
            subset="_test",
            split="test",
            slice_spec="0:1",
            output=str(tmp_path),
            workers=workers,
            filter_spec="swe-agent__test-repo-1",
            config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],
            environment_class="docker",
        )
 
    traj_file_path = package_dir.parent.parent / "tests" / "test_data" / "github_issue.traj.json"
    trajectory = json.loads(traj_file_path.read_text())
 
    last_message = trajectory[-1]["content"]
 
    instance_id = "swe-agent__test-repo-1"
    expected_result = {
        instance_id: {
            "model_name_or_path": "deterministic",
            "instance_id": instance_id,
            "model_patch": last_message,
        }
    }
 
    with open(tmp_path / "preds.json") as f:
        actual_result = json.load(f)
 
    assert actual_result == expected_result
 
    traj_output_file = tmp_path / instance_id / f"{instance_id}.traj.json"
    output_trajectory = json.loads(traj_output_file.read_text())
    assert output_trajectory["messages"][-1]["content"] == last_message
 
 
def test_get_image_name_with_existing_image_name():
    """Test get_image_name when image_name is already provided"""
    instance = {"image_name": "custom/image:tag", "instance_id": "test__repo__1"}
    assert get_swebench_docker_image_name(instance) == "custom/image:tag"
 
 
def test_get_image_name_without_image_name():
    """Test get_image_name when image_name needs to be constructed"""
    instance = {"instance_id": "swe-agent__test-repo__1"}
    expected = "docker.io/swebench/sweb.eval.x86_64.swe-agent_1776_test-repo_1776_1:latest"
    assert get_swebench_docker_image_name(instance) == expected
 
 
def test_get_image_name_with_none_image_name():
    """Test get_image_name when image_name is explicitly None"""
    instance = {"image_name": None, "instance_id": "django__django__4.0"}
    expected = "docker.io/swebench/sweb.eval.x86_64.django_1776_django_1776_4.0:latest"
    assert get_swebench_docker_image_name(instance) == expected
 
 
def test_get_image_name_with_complex_instance_id():
    """Test get_image_name with complex instance_id containing multiple double underscores"""
    instance = {"instance_id": "project__sub__module__version__1.2.3"}
    expected = "docker.io/swebench/sweb.eval.x86_64.project_1776_sub_1776_module_1776_version_1776_1.2.3:latest"
    assert get_swebench_docker_image_name(instance) == expected
 
 
def test_filter_instances_no_filters():
    """Test filter_instances with no filtering applied"""
    instances = [{"instance_id": "repo1__test1"}, {"instance_id": "repo2__test2"}, {"instance_id": "repo3__test3"}]
    result = filter_instances(instances, filter_spec="", slice_spec="")
    assert result == instances
 
 
def test_filter_instances_regex_filter():
    """Test filter_instances with regex filtering"""
    instances = [
        {"instance_id": "django__test1"},
        {"instance_id": "flask__test2"},
        {"instance_id": "django__test3"},
        {"instance_id": "requests__test4"},
    ]
    result = filter_instances(instances, filter_spec=r"django__.*", slice_spec="")
    expected = [{"instance_id": "django__test1"}, {"instance_id": "django__test3"}]
    assert result == expected
 
 
def test_filter_instances_slice_only():
    """Test filter_instances with slice specification"""
    instances = [{"instance_id": f"repo{i}__test{i}"} for i in range(10)]
    result = filter_instances(instances, filter_spec="", slice_spec="2:5")
    expected = [{"instance_id": "repo2__test2"}, {"instance_id": "repo3__test3"}, {"instance_id": "repo4__test4"}]
    assert result == expected
 
 
def test_filter_instances_slice_start_only():
    """Test filter_instances with slice start only"""
    instances = [{"instance_id": f"repo{i}__test{i}"} for i in range(5)]
    result = filter_instances(instances, filter_spec="", slice_spec="3:")
    expected = [{"instance_id": "repo3__test3"}, {"instance_id": "repo4__test4"}]
    assert result == expected
 
 
def test_filter_instances_slice_end_only():
    """Test filter_instances with slice end only"""
    instances = [{"instance_id": f"repo{i}__test{i}"} for i in range(5)]
    result = filter_instances(instances, filter_spec="", slice_spec=":2")
    expected = [{"instance_id": "repo0__test0"}, {"instance_id": "repo1__test1"}]
    assert result == expected
 
 
def test_filter_instances_filter_and_slice():
    """Test filter_instances with both filtering and slicing"""
    instances = [
        {"instance_id": "django__test1"},
        {"instance_id": "flask__test2"},
        {"instance_id": "django__test3"},
        {"instance_id": "django__test4"},
        {"instance_id": "requests__test5"},
    ]
    result = filter_instances(instances, filter_spec=r"django__.*", slice_spec="1:3")
    expected = [{"instance_id": "django__test3"}, {"instance_id": "django__test4"}]
    assert result == expected
 
 
def test_filter_instances_shuffle():
    """Test filter_instances with shuffle enabled produces deterministic results"""
    instances = [{"instance_id": f"repo{i:02d}__test{i}"} for i in range(10)]
    # Test that shuffle produces same result with same seed
    result1 = filter_instances(instances.copy(), filter_spec="", slice_spec="", shuffle=True)
    result2 = filter_instances(instances.copy(), filter_spec="", slice_spec="", shuffle=True)
    assert result1 == result2
    # Test that shuffled result is different from original order
    result_no_shuffle = filter_instances(instances.copy(), filter_spec="", slice_spec="", shuffle=False)
    assert result1 != result_no_shuffle
 
 
def test_filter_instances_empty_list():
    """Test filter_instances with empty input list"""
    result = filter_instances([], filter_spec=r".*", slice_spec="0:5", shuffle=True)
    assert result == []
 
 
def test_filter_instances_no_matches():
    """Test filter_instances when regex matches nothing"""
    instances = [{"instance_id": "django__test1"}, {"instance_id": "flask__test2"}]
    result = filter_instances(instances, filter_spec=r"nonexistent__.*", slice_spec="")
    assert result == []
 
 
def test_update_preds_file_new_file(tmp_path):
    """Test update_preds_file when output file doesn't exist"""
    output_path = tmp_path / "preds.json"
    update_preds_file(output_path, "test__instance__1", "test_model", "test_result")
 
    assert output_path.exists()
    result = json.loads(output_path.read_text())
    expected = {
        "test__instance__1": {
            "model_name_or_path": "test_model",
            "instance_id": "test__instance__1",
            "model_patch": "test_result",
        }
    }
    assert result == expected
 
 
def test_update_preds_file_existing_file(tmp_path):
    """Test update_preds_file when output file already exists"""
    output_path = tmp_path / "preds.json"
 
    # Create initial file with one instance
    initial_data = {
        "existing__instance": {
            "model_name_or_path": "old_model",
            "instance_id": "existing__instance",
            "model_patch": "old_result",
        }
    }
    output_path.write_text(json.dumps(initial_data))
 
    # Add new instance
    update_preds_file(output_path, "new__instance", "new_model", "new_result")
 
    result = json.loads(output_path.read_text())
    expected = {
        "existing__instance": {
            "model_name_or_path": "old_model",
            "instance_id": "existing__instance",
            "model_patch": "old_result",
        },
        "new__instance": {
            "model_name_or_path": "new_model",
            "instance_id": "new__instance",
            "model_patch": "new_result",
        },
    }
    assert result == expected
 
 
def test_update_preds_file_overwrite_existing(tmp_path):
    """Test update_preds_file overwrites existing instance"""
    output_path = tmp_path / "preds.json"
 
    # Create initial file
    initial_data = {
        "test__instance": {
            "model_name_or_path": "old_model",
            "instance_id": "test__instance",
            "model_patch": "old_result",
        }
    }
    output_path.write_text(json.dumps(initial_data))
 
    # Update existing instance
    update_preds_file(output_path, "test__instance", "new_model", "new_result")
 
    result = json.loads(output_path.read_text())
    expected = {
        "test__instance": {
            "model_name_or_path": "new_model",
            "instance_id": "test__instance",
            "model_patch": "new_result",
        }
    }
    assert result == expected
 
 
def test_remove_from_preds_file_existing(tmp_path):
    """Test remove_from_preds_file removes existing instance"""
    output_path = tmp_path / "preds.json"
 
    # Create file with multiple instances
    initial_data = {
        "instance1": {"model_name_or_path": "model1", "instance_id": "instance1", "model_patch": "result1"},
        "instance2": {"model_name_or_path": "model2", "instance_id": "instance2", "model_patch": "result2"},
    }
    output_path.write_text(json.dumps(initial_data))
 
    # Remove one instance
    remove_from_preds_file(output_path, "instance1")
 
    result = json.loads(output_path.read_text())
    expected = {"instance2": {"model_name_or_path": "model2", "instance_id": "instance2", "model_patch": "result2"}}
    assert result == expected
 
 
def test_remove_from_preds_file_nonexistent_instance(tmp_path):
    """Test remove_from_preds_file with nonexistent instance"""
    output_path = tmp_path / "preds.json"
 
    initial_data = {"instance1": {"model_name_or_path": "model1", "instance_id": "instance1", "model_patch": "result1"}}
    output_path.write_text(json.dumps(initial_data))
 
    # Try to remove nonexistent instance
    remove_from_preds_file(output_path, "nonexistent")
 
    # File should be unchanged
    result = json.loads(output_path.read_text())
    assert result == initial_data
 
 
def test_remove_from_preds_file_no_file(tmp_path):
    """Test remove_from_preds_file when file doesn't exist"""
    output_path = tmp_path / "preds.json"
 
    # Should not raise an error
    remove_from_preds_file(output_path, "any_instance")
 
    # File should still not exist
    assert not output_path.exists()
 
 
@pytest.mark.slow
def test_redo_existing_false_skips_existing(github_test_data, tmp_path):
    """Test that redo_existing=False skips instances that already have results"""
    model_responses = github_test_data["model_responses"]
 
    # Create existing preds.json with one instance
    preds_file = tmp_path / "preds.json"
    existing_data = {
        "swe-agent__test-repo-1": {
            "model_name_or_path": "previous_model",
            "instance_id": "swe-agent__test-repo-1",
            "model_patch": "previous_result",
        }
    }
    preds_file.write_text(json.dumps(existing_data))
 
    with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:
        mock_get_model.side_effect = lambda **kwargs: _make_model_from_fixture(model_responses)
 
        main(
            subset="_test",
            split="test",
            slice_spec="0:1",
            output=str(tmp_path),
            workers=1,
            filter_spec="swe-agent__test-repo-1",
            redo_existing=False,
            config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],
        )
 
    # Should still have the original result
    result = json.loads(preds_file.read_text())
    assert result == existing_data
 
 
@pytest.mark.slow
def test_redo_existing_true_overwrites_existing(github_test_data, tmp_path):
    """Test that redo_existing=True processes instances even if they already have results"""
    model_responses = github_test_data["model_responses"]
 
    # Create existing preds.json with one instance
    preds_file = tmp_path / "preds.json"
    existing_data = {
        "swe-agent__test-repo-1": {
            "model_name_or_path": "previous_model",
            "instance_id": "swe-agent__test-repo-1",
            "model_patch": "previous_result",
        }
    }
    preds_file.write_text(json.dumps(existing_data))
 
    with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:
        mock_get_model.side_effect = lambda **kwargs: _make_model_from_fixture(model_responses, cost_per_call=0.1)
 
        main(
            subset="_test",
            split="test",
            slice_spec="0:1",
            output=str(tmp_path),
            workers=1,
            filter_spec="swe-agent__test-repo-1",
            redo_existing=True,
            config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],
            environment_class="docker",
        )
 
    # Should have new result from deterministic model
    traj_file_path = package_dir.parent.parent / "tests" / "test_data" / "github_issue.traj.json"
    trajectory = json.loads(traj_file_path.read_text())
    expected_result = trajectory[-1]["content"]
 
    result = json.loads(preds_file.read_text())
    assert result["swe-agent__test-repo-1"]["model_patch"] == expected_result
    assert result["swe-agent__test-repo-1"]["model_name_or_path"] == "deterministic"
 
 
class ExceptionModelConfig(BaseModel):
    model_name: str = "exception_model"
 
 
class ExceptionModel:
    """Test model that raises exceptions during processing."""
 
    def __init__(self, exception_type: type[Exception] = RuntimeError, exception_message: str = "Test exception"):
        self.exception_type = exception_type
        self.exception_message = exception_message
        self.cost = 0.0
        self.n_calls = 0
        self.config = ExceptionModelConfig()
 
    def query(self, *args, **kwargs):
        self.n_calls += 1
        raise self.exception_type(self.exception_message)
 
    def format_message(self, **kwargs) -> dict:
        return dict(**kwargs)
 
    def format_observation_messages(
        self, message: dict, outputs: list[dict], template_vars: dict | None = None
    ) -> list[dict]:
        return [self.format_message(role="user", content=str(o)) for o in outputs]
 
    def get_template_vars(self, **kwargs) -> dict:
        return self.config.model_dump() | {"n_model_calls": self.n_calls, "model_cost": self.cost}
 
    def serialize(self) -> dict:
        return {
            "info": {
                "model_stats": {
                    "instance_cost": self.cost,
                    "api_calls": self.n_calls,
                },
                "config": {
                    "model": self.config.model_dump(mode="json"),
                    "model_type": f"{self.__class__.__module__}.{self.__class__.__name__}",
                },
            }
        }
 
 
@pytest.mark.slow
@pytest.mark.parametrize("workers", [1, 2])
def test_exception_handling_in_agent_run(tmp_path, workers):
    """Test that exceptions during agent.run() are properly handled and recorded"""
    with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:
        mock_get_model.return_value = ExceptionModel(RuntimeError, "Agent processing failed")
 
        with patch("minisweagent.run.benchmarks.swebench.RunBatchProgressManager") as mock_progress_class:
            mock_progress_manager = mock_progress_class.return_value
            mock_progress_manager.render_group = None  # For Live context manager
 
            main(
                subset="_test",
                split="test",
                slice_spec="0:1",
                output=str(tmp_path),
                workers=workers,
                filter_spec="swe-agent__test-repo-1",
                config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],
                environment_class="docker",
            )
 
    # Check that prediction file contains exception information
    preds_file = tmp_path / "preds.json"
    assert preds_file.exists()
 
    result = json.loads(preds_file.read_text())
    instance_id = "swe-agent__test-repo-1"
    assert instance_id in result
    assert result[instance_id]["model_patch"] == ""
    assert result[instance_id]["model_name_or_path"] == "exception_model"
 
    # Check that trajectory file contains exception information
    traj_file = tmp_path / instance_id / f"{instance_id}.traj.json"
    assert traj_file.exists()
 
    traj_data = json.loads(traj_file.read_text())
    assert traj_data["instance_id"] == instance_id
    assert traj_data["info"]["exit_status"] == "RuntimeError"
    assert traj_data["info"]["submission"] == ""
    assert traj_data["info"]["exception_str"] == "Agent processing failed"
 
 
@pytest.mark.slow
@pytest.mark.parametrize("workers", [1, 2])
def test_different_exception_types(tmp_path, workers):
    """Test that different exception types are properly recorded"""
    with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:
        mock_get_model.return_value = ExceptionModel(ValueError, "Invalid input provided")
 
        with patch("minisweagent.run.benchmarks.swebench.RunBatchProgressManager") as mock_progress_class:
            mock_progress_manager = mock_progress_class.return_value
            mock_progress_manager.render_group = None  # For Live context manager
 
            main(
                subset="_test",
                split="test",
                slice_spec="0:1",
                output=str(tmp_path),
                workers=workers,
                filter_spec="swe-agent__test-repo-1",
                config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],
                environment_class="docker",
            )
 
    # Check trajectory file for correct exception type
    instance_id = "swe-agent__test-repo-1"
    traj_file = tmp_path / instance_id / f"{instance_id}.traj.json"
    traj_data = json.loads(traj_file.read_text())
 
    assert traj_data["info"]["exit_status"] == "ValueError"
    assert traj_data["info"]["submission"] == ""
    assert traj_data["info"]["exception_str"] == "Invalid input provided"
 
 
@pytest.mark.slow
def test_exception_handling_with_progress_manager(tmp_path):
    """Test that progress manager receives exception notifications in multithreaded mode"""
    with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:
        mock_get_model.return_value = ExceptionModel(ConnectionError, "Network timeout")
 
        with patch("minisweagent.run.benchmarks.swebench.RunBatchProgressManager") as mock_progress_class:
            mock_progress_manager = mock_progress_class.return_value
            mock_progress_manager.render_group = None  # For Live context manager
 
            main(
                subset="_test",
                split="test",
                slice_spec="0:1",
                output=str(tmp_path),
                workers=2,  # Use multithreaded to test progress manager
                filter_spec="swe-agent__test-repo-1",
                config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],
                environment_class="docker",
            )
 
            # Verify progress manager methods were called
            mock_progress_manager.on_instance_start.assert_called_once_with("swe-agent__test-repo-1")
            mock_progress_manager.on_instance_end.assert_called_once_with("swe-agent__test-repo-1", "ConnectionError")
 
            # on_uncaught_exception should not be called since exceptions are handled properly
            mock_progress_manager.on_uncaught_exception.assert_not_called()
 

534 lines

1	`import json`
2	`import re`
3	`from unittest.mock import patch`
4
5	`import pytest`
6	`from pydantic import BaseModel`
7
8	`from minisweagent import package_dir`
9	`from minisweagent.models.test_models import DeterministicModel, make_output`
10	`from minisweagent.run.benchmarks.swebench import (`
11	`filter_instances,`
12	`get_swebench_docker_image_name,`
13	`main,`
14	`remove_from_preds_file,`
15	`update_preds_file,`
16	`)`
17
18
19	`def _make_model_from_fixture(text_outputs: list[str], cost_per_call: float = 1.0, **kwargs) -> DeterministicModel:`
20	`"""Create a DeterministicModel from trajectory fixture data (raw text outputs)."""`
21
22	`def parse_command(text: str) -> list[dict]:`
23	match = re.search(r"```mswea_bash_command\s\n(.?)\n```", text, re.DOTALL)
24	`return [{"command": match.group(1)}] if match else []`
25
26	`return DeterministicModel(`
27	`outputs=[make_output(text, parse_command(text), cost=cost_per_call) for text in text_outputs],`
28	`cost_per_call=cost_per_call,`
29	`**kwargs,`
30	`)`
31
32
33	`@pytest.mark.slow`
34	`@pytest.mark.parametrize("workers", [1, 2])`
35	`def test_swebench_end_to_end(github_test_data, tmp_path, workers):`
36	`"""Test the complete SWEBench flow using the _test subset with deterministic model"""`
37
38	`model_responses = github_test_data["model_responses"]`
39
40	`with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:`
41	`# Use side_effect to create a new model instance for each worker`
42	`mock_get_model.side_effect = lambda **kwargs: _make_model_from_fixture(model_responses, cost_per_call=0.1)`
43
44	`main(`
45	`subset="_test",`
46	`split="test",`
47	`slice_spec="0:1",`
48	`output=str(tmp_path),`
49	`workers=workers,`
50	`filter_spec="swe-agent__test-repo-1",`
51	`config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],`
52	`environment_class="docker",`
53	`)`
54
55	`traj_file_path = package_dir.parent.parent / "tests" / "test_data" / "github_issue.traj.json"`
56	`trajectory = json.loads(traj_file_path.read_text())`
57
58	`last_message = trajectory[-1]["content"]`
59
60	`instance_id = "swe-agent__test-repo-1"`
61	`expected_result = {`
62	`instance_id: {`
63	`"model_name_or_path": "deterministic",`
64	`"instance_id": instance_id,`
65	`"model_patch": last_message,`
66	`}`
67	`}`
68
69	`with open(tmp_path / "preds.json") as f:`
70	`actual_result = json.load(f)`
71
72	`assert actual_result == expected_result`
73
74	`traj_output_file = tmp_path / instance_id / f"{instance_id}.traj.json"`
75	`output_trajectory = json.loads(traj_output_file.read_text())`
76	`assert output_trajectory["messages"][-1]["content"] == last_message`
77
78
79	`def test_get_image_name_with_existing_image_name():`
80	`"""Test get_image_name when image_name is already provided"""`
81	`instance = {"image_name": "custom/image:tag", "instance_id": "test__repo__1"}`
82	`assert get_swebench_docker_image_name(instance) == "custom/image:tag"`
83
84
85	`def test_get_image_name_without_image_name():`
86	`"""Test get_image_name when image_name needs to be constructed"""`
87	`instance = {"instance_id": "swe-agent__test-repo__1"}`
88	`expected = "docker.io/swebench/sweb.eval.x86_64.swe-agent_1776_test-repo_1776_1:latest"`
89	`assert get_swebench_docker_image_name(instance) == expected`
90
91
92	`def test_get_image_name_with_none_image_name():`
93	`"""Test get_image_name when image_name is explicitly None"""`
94	`instance = {"image_name": None, "instance_id": "django__django__4.0"}`
95	`expected = "docker.io/swebench/sweb.eval.x86_64.django_1776_django_1776_4.0:latest"`
96	`assert get_swebench_docker_image_name(instance) == expected`
97
98
99	`def test_get_image_name_with_complex_instance_id():`
100	`"""Test get_image_name with complex instance_id containing multiple double underscores"""`
101	`instance = {"instance_id": "project__sub__module__version__1.2.3"}`
102	`expected = "docker.io/swebench/sweb.eval.x86_64.project_1776_sub_1776_module_1776_version_1776_1.2.3:latest"`
103	`assert get_swebench_docker_image_name(instance) == expected`
104
105
106	`def test_filter_instances_no_filters():`
107	`"""Test filter_instances with no filtering applied"""`
108	`instances = [{"instance_id": "repo1__test1"}, {"instance_id": "repo2__test2"}, {"instance_id": "repo3__test3"}]`
109	`result = filter_instances(instances, filter_spec="", slice_spec="")`
110	`assert result == instances`
111
112
113	`def test_filter_instances_regex_filter():`
114	`"""Test filter_instances with regex filtering"""`
115	`instances = [`
116	`{"instance_id": "django__test1"},`
117	`{"instance_id": "flask__test2"},`
118	`{"instance_id": "django__test3"},`
119	`{"instance_id": "requests__test4"},`
120	`]`
121	`result = filter_instances(instances, filter_spec=r"django__.*", slice_spec="")`
122	`expected = [{"instance_id": "django__test1"}, {"instance_id": "django__test3"}]`
123	`assert result == expected`
124
125
126	`def test_filter_instances_slice_only():`
127	`"""Test filter_instances with slice specification"""`
128	`instances = [{"instance_id": f"repo{i}__test{i}"} for i in range(10)]`
129	`result = filter_instances(instances, filter_spec="", slice_spec="2:5")`
130	`expected = [{"instance_id": "repo2__test2"}, {"instance_id": "repo3__test3"}, {"instance_id": "repo4__test4"}]`
131	`assert result == expected`
132
133
134	`def test_filter_instances_slice_start_only():`
135	`"""Test filter_instances with slice start only"""`
136	`instances = [{"instance_id": f"repo{i}__test{i}"} for i in range(5)]`
137	`result = filter_instances(instances, filter_spec="", slice_spec="3:")`
138	`expected = [{"instance_id": "repo3__test3"}, {"instance_id": "repo4__test4"}]`
139	`assert result == expected`
140
141
142	`def test_filter_instances_slice_end_only():`
143	`"""Test filter_instances with slice end only"""`
144	`instances = [{"instance_id": f"repo{i}__test{i}"} for i in range(5)]`
145	`result = filter_instances(instances, filter_spec="", slice_spec=":2")`
146	`expected = [{"instance_id": "repo0__test0"}, {"instance_id": "repo1__test1"}]`
147	`assert result == expected`
148
149
150	`def test_filter_instances_filter_and_slice():`
151	`"""Test filter_instances with both filtering and slicing"""`
152	`instances = [`
153	`{"instance_id": "django__test1"},`
154	`{"instance_id": "flask__test2"},`
155	`{"instance_id": "django__test3"},`
156	`{"instance_id": "django__test4"},`
157	`{"instance_id": "requests__test5"},`
158	`]`
159	`result = filter_instances(instances, filter_spec=r"django__.*", slice_spec="1:3")`
160	`expected = [{"instance_id": "django__test3"}, {"instance_id": "django__test4"}]`
161	`assert result == expected`
162
163
164	`def test_filter_instances_shuffle():`
165	`"""Test filter_instances with shuffle enabled produces deterministic results"""`
166	`instances = [{"instance_id": f"repo{i:02d}__test{i}"} for i in range(10)]`
167	`# Test that shuffle produces same result with same seed`
168	`result1 = filter_instances(instances.copy(), filter_spec="", slice_spec="", shuffle=True)`
169	`result2 = filter_instances(instances.copy(), filter_spec="", slice_spec="", shuffle=True)`
170	`assert result1 == result2`
171	`# Test that shuffled result is different from original order`
172	`result_no_shuffle = filter_instances(instances.copy(), filter_spec="", slice_spec="", shuffle=False)`
173	`assert result1 != result_no_shuffle`
174
175
176	`def test_filter_instances_empty_list():`
177	`"""Test filter_instances with empty input list"""`
178	`result = filter_instances([], filter_spec=r".*", slice_spec="0:5", shuffle=True)`
179	`assert result == []`
180
181
182	`def test_filter_instances_no_matches():`
183	`"""Test filter_instances when regex matches nothing"""`
184	`instances = [{"instance_id": "django__test1"}, {"instance_id": "flask__test2"}]`
185	`result = filter_instances(instances, filter_spec=r"nonexistent__.*", slice_spec="")`
186	`assert result == []`
187
188
189	`def test_update_preds_file_new_file(tmp_path):`
190	`"""Test update_preds_file when output file doesn't exist"""`
191	`output_path = tmp_path / "preds.json"`
192	`update_preds_file(output_path, "test__instance__1", "test_model", "test_result")`
193
194	`assert output_path.exists()`
195	`result = json.loads(output_path.read_text())`
196	`expected = {`
197	`"test__instance__1": {`
198	`"model_name_or_path": "test_model",`
199	`"instance_id": "test__instance__1",`
200	`"model_patch": "test_result",`
201	`}`
202	`}`
203	`assert result == expected`
204
205
206	`def test_update_preds_file_existing_file(tmp_path):`
207	`"""Test update_preds_file when output file already exists"""`
208	`output_path = tmp_path / "preds.json"`
209
210	`# Create initial file with one instance`
211	`initial_data = {`
212	`"existing__instance": {`
213	`"model_name_or_path": "old_model",`
214	`"instance_id": "existing__instance",`
215	`"model_patch": "old_result",`
216	`}`
217	`}`
218	`output_path.write_text(json.dumps(initial_data))`
219
220	`# Add new instance`
221	`update_preds_file(output_path, "new__instance", "new_model", "new_result")`
222
223	`result = json.loads(output_path.read_text())`
224	`expected = {`
225	`"existing__instance": {`
226	`"model_name_or_path": "old_model",`
227	`"instance_id": "existing__instance",`
228	`"model_patch": "old_result",`
229	`},`
230	`"new__instance": {`
231	`"model_name_or_path": "new_model",`
232	`"instance_id": "new__instance",`
233	`"model_patch": "new_result",`
234	`},`
235	`}`
236	`assert result == expected`
237
238
239	`def test_update_preds_file_overwrite_existing(tmp_path):`
240	`"""Test update_preds_file overwrites existing instance"""`
241	`output_path = tmp_path / "preds.json"`
242
243	`# Create initial file`
244	`initial_data = {`
245	`"test__instance": {`
246	`"model_name_or_path": "old_model",`
247	`"instance_id": "test__instance",`
248	`"model_patch": "old_result",`
249	`}`
250	`}`
251	`output_path.write_text(json.dumps(initial_data))`
252
253	`# Update existing instance`
254	`update_preds_file(output_path, "test__instance", "new_model", "new_result")`
255
256	`result = json.loads(output_path.read_text())`
257	`expected = {`
258	`"test__instance": {`
259	`"model_name_or_path": "new_model",`
260	`"instance_id": "test__instance",`
261	`"model_patch": "new_result",`
262	`}`
263	`}`
264	`assert result == expected`
265
266
267	`def test_remove_from_preds_file_existing(tmp_path):`
268	`"""Test remove_from_preds_file removes existing instance"""`
269	`output_path = tmp_path / "preds.json"`
270
271	`# Create file with multiple instances`
272	`initial_data = {`
273	`"instance1": {"model_name_or_path": "model1", "instance_id": "instance1", "model_patch": "result1"},`
274	`"instance2": {"model_name_or_path": "model2", "instance_id": "instance2", "model_patch": "result2"},`
275	`}`
276	`output_path.write_text(json.dumps(initial_data))`
277
278	`# Remove one instance`
279	`remove_from_preds_file(output_path, "instance1")`
280
281	`result = json.loads(output_path.read_text())`
282	`expected = {"instance2": {"model_name_or_path": "model2", "instance_id": "instance2", "model_patch": "result2"}}`
283	`assert result == expected`
284
285
286	`def test_remove_from_preds_file_nonexistent_instance(tmp_path):`
287	`"""Test remove_from_preds_file with nonexistent instance"""`
288	`output_path = tmp_path / "preds.json"`
289
290	`initial_data = {"instance1": {"model_name_or_path": "model1", "instance_id": "instance1", "model_patch": "result1"}}`
291	`output_path.write_text(json.dumps(initial_data))`
292
293	`# Try to remove nonexistent instance`
294	`remove_from_preds_file(output_path, "nonexistent")`
295
296	`# File should be unchanged`
297	`result = json.loads(output_path.read_text())`
298	`assert result == initial_data`
299
300
301	`def test_remove_from_preds_file_no_file(tmp_path):`
302	`"""Test remove_from_preds_file when file doesn't exist"""`
303	`output_path = tmp_path / "preds.json"`
304
305	`# Should not raise an error`
306	`remove_from_preds_file(output_path, "any_instance")`
307
308	`# File should still not exist`
309	`assert not output_path.exists()`
310
311
312	`@pytest.mark.slow`
313	`def test_redo_existing_false_skips_existing(github_test_data, tmp_path):`
314	`"""Test that redo_existing=False skips instances that already have results"""`
315	`model_responses = github_test_data["model_responses"]`
316
317	`# Create existing preds.json with one instance`
318	`preds_file = tmp_path / "preds.json"`
319	`existing_data = {`
320	`"swe-agent__test-repo-1": {`
321	`"model_name_or_path": "previous_model",`
322	`"instance_id": "swe-agent__test-repo-1",`
323	`"model_patch": "previous_result",`
324	`}`
325	`}`
326	`preds_file.write_text(json.dumps(existing_data))`
327
328	`with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:`
329	`mock_get_model.side_effect = lambda **kwargs: _make_model_from_fixture(model_responses)`
330
331	`main(`
332	`subset="_test",`
333	`split="test",`
334	`slice_spec="0:1",`
335	`output=str(tmp_path),`
336	`workers=1,`
337	`filter_spec="swe-agent__test-repo-1",`
338	`redo_existing=False,`
339	`config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],`
340	`)`
341
342	`# Should still have the original result`
343	`result = json.loads(preds_file.read_text())`
344	`assert result == existing_data`
345
346
347	`@pytest.mark.slow`
348	`def test_redo_existing_true_overwrites_existing(github_test_data, tmp_path):`
349	`"""Test that redo_existing=True processes instances even if they already have results"""`
350	`model_responses = github_test_data["model_responses"]`
351
352	`# Create existing preds.json with one instance`
353	`preds_file = tmp_path / "preds.json"`
354	`existing_data = {`
355	`"swe-agent__test-repo-1": {`
356	`"model_name_or_path": "previous_model",`
357	`"instance_id": "swe-agent__test-repo-1",`
358	`"model_patch": "previous_result",`
359	`}`
360	`}`
361	`preds_file.write_text(json.dumps(existing_data))`
362
363	`with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:`
364	`mock_get_model.side_effect = lambda **kwargs: _make_model_from_fixture(model_responses, cost_per_call=0.1)`
365
366	`main(`
367	`subset="_test",`
368	`split="test",`
369	`slice_spec="0:1",`
370	`output=str(tmp_path),`
371	`workers=1,`
372	`filter_spec="swe-agent__test-repo-1",`
373	`redo_existing=True,`
374	`config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],`
375	`environment_class="docker",`
376	`)`
377
378	`# Should have new result from deterministic model`
379	`traj_file_path = package_dir.parent.parent / "tests" / "test_data" / "github_issue.traj.json"`
380	`trajectory = json.loads(traj_file_path.read_text())`
381	`expected_result = trajectory[-1]["content"]`
382
383	`result = json.loads(preds_file.read_text())`
384	`assert result["swe-agent__test-repo-1"]["model_patch"] == expected_result`
385	`assert result["swe-agent__test-repo-1"]["model_name_or_path"] == "deterministic"`
386
387
388	`class ExceptionModelConfig(BaseModel):`
389	`model_name: str = "exception_model"`
390
391
392	`class ExceptionModel:`
393	`"""Test model that raises exceptions during processing."""`
394
395	`def __init__(self, exception_type: type[Exception] = RuntimeError, exception_message: str = "Test exception"):`
396	`self.exception_type = exception_type`
397	`self.exception_message = exception_message`
398	`self.cost = 0.0`
399	`self.n_calls = 0`
400	`self.config = ExceptionModelConfig()`
401
402	`def query(self, args, *kwargs):`
403	`self.n_calls += 1`
404	`raise self.exception_type(self.exception_message)`
405
406	`def format_message(self, **kwargs) -> dict:`
407	`return dict(**kwargs)`
408
409	`def format_observation_messages(`
410	`self, message: dict, outputs: list[dict], template_vars: dict \| None = None`
411	`) -> list[dict]:`
412	`return [self.format_message(role="user", content=str(o)) for o in outputs]`
413
414	`def get_template_vars(self, **kwargs) -> dict:`
415	`return self.config.model_dump() \| {"n_model_calls": self.n_calls, "model_cost": self.cost}`
416
417	`def serialize(self) -> dict:`
418	`return {`
419	`"info": {`
420	`"model_stats": {`
421	`"instance_cost": self.cost,`
422	`"api_calls": self.n_calls,`
423	`},`
424	`"config": {`
425	`"model": self.config.model_dump(mode="json"),`
426	`"model_type": f"{self.__class__.__module__}.{self.__class__.__name__}",`
427	`},`
428	`}`
429	`}`
430
431
432	`@pytest.mark.slow`
433	`@pytest.mark.parametrize("workers", [1, 2])`
434	`def test_exception_handling_in_agent_run(tmp_path, workers):`
435	`"""Test that exceptions during agent.run() are properly handled and recorded"""`
436	`with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:`
437	`mock_get_model.return_value = ExceptionModel(RuntimeError, "Agent processing failed")`
438
439	`with patch("minisweagent.run.benchmarks.swebench.RunBatchProgressManager") as mock_progress_class:`
440	`mock_progress_manager = mock_progress_class.return_value`
441	`mock_progress_manager.render_group = None # For Live context manager`
442
443	`main(`
444	`subset="_test",`
445	`split="test",`
446	`slice_spec="0:1",`
447	`output=str(tmp_path),`
448	`workers=workers,`
449	`filter_spec="swe-agent__test-repo-1",`
450	`config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],`
451	`environment_class="docker",`
452	`)`
453
454	`# Check that prediction file contains exception information`
455	`preds_file = tmp_path / "preds.json"`
456	`assert preds_file.exists()`
457
458	`result = json.loads(preds_file.read_text())`
459	`instance_id = "swe-agent__test-repo-1"`
460	`assert instance_id in result`
461	`assert result[instance_id]["model_patch"] == ""`
462	`assert result[instance_id]["model_name_or_path"] == "exception_model"`
463
464	`# Check that trajectory file contains exception information`
465	`traj_file = tmp_path / instance_id / f"{instance_id}.traj.json"`
466	`assert traj_file.exists()`
467
468	`traj_data = json.loads(traj_file.read_text())`
469	`assert traj_data["instance_id"] == instance_id`
470	`assert traj_data["info"]["exit_status"] == "RuntimeError"`
471	`assert traj_data["info"]["submission"] == ""`
472	`assert traj_data["info"]["exception_str"] == "Agent processing failed"`
473
474
475	`@pytest.mark.slow`
476	`@pytest.mark.parametrize("workers", [1, 2])`
477	`def test_different_exception_types(tmp_path, workers):`
478	`"""Test that different exception types are properly recorded"""`
479	`with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:`
480	`mock_get_model.return_value = ExceptionModel(ValueError, "Invalid input provided")`
481
482	`with patch("minisweagent.run.benchmarks.swebench.RunBatchProgressManager") as mock_progress_class:`
483	`mock_progress_manager = mock_progress_class.return_value`
484	`mock_progress_manager.render_group = None # For Live context manager`
485
486	`main(`
487	`subset="_test",`
488	`split="test",`
489	`slice_spec="0:1",`
490	`output=str(tmp_path),`
491	`workers=workers,`
492	`filter_spec="swe-agent__test-repo-1",`
493	`config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],`
494	`environment_class="docker",`
495	`)`
496
497	`# Check trajectory file for correct exception type`
498	`instance_id = "swe-agent__test-repo-1"`
499	`traj_file = tmp_path / instance_id / f"{instance_id}.traj.json"`
500	`traj_data = json.loads(traj_file.read_text())`
501
502	`assert traj_data["info"]["exit_status"] == "ValueError"`
503	`assert traj_data["info"]["submission"] == ""`
504	`assert traj_data["info"]["exception_str"] == "Invalid input provided"`
505
506
507	`@pytest.mark.slow`
508	`def test_exception_handling_with_progress_manager(tmp_path):`
509	`"""Test that progress manager receives exception notifications in multithreaded mode"""`
510	`with patch("minisweagent.run.benchmarks.swebench.get_model") as mock_get_model:`
511	`mock_get_model.return_value = ExceptionModel(ConnectionError, "Network timeout")`
512
513	`with patch("minisweagent.run.benchmarks.swebench.RunBatchProgressManager") as mock_progress_class:`
514	`mock_progress_manager = mock_progress_class.return_value`
515	`mock_progress_manager.render_group = None # For Live context manager`
516
517	`main(`
518	`subset="_test",`
519	`split="test",`
520	`slice_spec="0:1",`
521	`output=str(tmp_path),`
522	`workers=2, # Use multithreaded to test progress manager`
523	`filter_spec="swe-agent__test-repo-1",`
524	`config_spec=[str(package_dir / "config" / "benchmarks" / "swebench.yaml")],`
525	`environment_class="docker",`
526	`)`
527
528	`# Verify progress manager methods were called`
529	`mock_progress_manager.on_instance_start.assert_called_once_with("swe-agent__test-repo-1")`
530	`mock_progress_manager.on_instance_end.assert_called_once_with("swe-agent__test-repo-1", "ConnectionError")`
531
532	`# on_uncaught_exception should not be called since exceptions are handled properly`
533	`mock_progress_manager.on_uncaught_exception.assert_not_called()`
534