feat: implement pytest plugin for AgentUnit scenario discovery (resolves #22)#39
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WalkthroughAdds an in-repo pytest plugin and CLI to discover and run AgentUnit scenarios under tests/eval, example scenario modules and tests, documentation for the plugin, and packaging/config updates to register the plugin, CLI, and pytest options. Changes
Sequence Diagram(s)sequenceDiagram
participant Pytest
participant Plugin as pytest_collect_file / pytest_configure
participant Collector as AgentUnitFile
participant Discovery as ScenarioDiscovery
participant Item as AgentUnitItem
participant Runner as Adapter/Runner
participant Reporter
Pytest->>Plugin: scan repository files
Plugin->>Collector: create collector for matching file (tests/eval/*)
Collector->>Discovery: discover scenarios (Python modules or config)
Discovery-->>Collector: list of Scenario objects
Collector->>Pytest: yield AgentUnitItem per Scenario
Pytest->>Item: invoke runtest()
Item->>Runner: execute scenario cases
Runner-->>Item: AdapterOutcome(s) per case
Item->>Item: validate outcomes, aggregate failures
alt all pass
Item-->>Pytest: test passes
else failures present
Item->>Reporter: build aggregated AssertionError
Reporter-->>Pytest: test fails with detailed report
end
Estimated code review effort🎯 4 (Complex) | ⏱️ ~45 minutes
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Actionable comments posted: 3
🧹 Nitpick comments (6)
src/agentunit/pytest/cli.py (1)
23-35: CLI scaffolding looks solid; consider reflecting custom--directoryin messagesThe command correctly creates the eval package, example scenarios, and README, and the embedded example code uses the adapter/dataset API appropriately.
One small UX nit: the README content and the final “Next steps” message hardcode
tests/eval/, so when users pass a custom--directory, the suggestedpytestinvocations become misleading. Consider interpolatingeval_dirinto those strings so the guidance matches the actual target directory.Also applies to: 36-39, 150-199
docs/pytest-plugin.md (1)
154-166: Add languages to a couple of fenced code blocks (markdownlint MD040)The content is clear, but markdownlint is complaining about two unlabeled fenced blocks (directory tree and pytest output). You can silence MD040 and improve tooling support by tagging them as
text:-``` +```text project/ ├── tests/ @@ -193,7 +193,7 @@ Scenarios appear in pytest output with descriptive names: -``` +```text tests/eval/basic_scenarios.py::agentunit::greeting-test PASSED tests/eval/basic_scenarios.py::agentunit::math-test FAILEDAlso applies to: 196-199 </blockquote></details> <details> <summary>tests/test_pytest_plugin.py (1)</summary><blockquote> `12-31`: **Test coverage for the pytest plugin is strong and well-targeted** The local `SimpleTestAdapter` plus the mock config/session/parent scaffolding give you focused, deterministic tests that exercise: - `_is_eval_directory` semantics. - Python-based scenario discovery via `AgentUnitFile._discover_scenarios`. - Success, failure, and load-error paths in `AgentUnitItem.runtest`. - Automatic `agentunit` and `scenario` marker attachment. This is a solid baseline for the plugin. If you want to extend coverage later, one natural addition would be a test for config-based (`.yaml`/`.json`) scenario discovery via the nocode integration, but that’s not blocking. Also applies to: 59-233 </blockquote></details> <details> <summary>src/agentunit/pytest/plugin.py (3)</summary><blockquote> `28-38`: **Incorrect return type annotation.** The function returns `AgentUnitFile` (which extends `pytest.File`), but the annotation says `Module | None`. This should be `AgentUnitFile | None` or the more general `pytest.File | None`. ```diff -def pytest_collect_file(file_path: Path, parent: Collector) -> Module | None: +def pytest_collect_file(file_path: Path, parent: Collector) -> AgentUnitFile | None:Also remove the unused
Moduleimport from theTYPE_CHECKINGblock.
166-169: Add defensive check before accessingresult.scenarios[0].Direct index access assumes
run_suitealways returns a non-emptyscenarioslist. Ifrun_suitefails silently or has an edge case returning an empty list, this would raise an unhelpfulIndexError.# Run the scenario using AgentUnit result = run_suite([self.scenario]) # Check if the scenario passed - scenario_result = result.scenarios[0] + if not result.scenarios: + raise AgentUnitError(f"No results returned for scenario '{self.scenario.name}'") + scenario_result = result.scenarios[0]
89-97: Silent failure for scenario factory functions.Scenario factory functions (
scenario_*) that require arguments will silently fail. Consider adding a debug log or documenting this behavior clearly so users know their factories must be zero-argument callables.
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tests/test_pytest_plugin.py (1)
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AgentUnitFile(47-133)AgentUnitItem(136-190)_is_eval_directory(41-44)_discover_scenarios(62-71)runtest(157-180)
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src/agentunit/core/scenario.py (1)
Scenario(21-270)src/agentunit/datasets/base.py (3)
DatasetCase(19-27)DatasetSource(30-57)name(38-39)
tests/eval/example_scenarios.py (3)
src/agentunit/core/scenario.py (1)
Scenario(21-270)src/agentunit/adapters/base.py (2)
AdapterOutcome(18-25)BaseAdapter(28-45)src/agentunit/datasets/base.py (3)
DatasetCase(19-27)DatasetSource(30-57)name(38-39)
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docs/pytest-plugin.md
154-154: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
196-196: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🔇 Additional comments (3)
tests/eval/__init__.py (1)
1-1: Package marker is fineThe module-level comment clearly documents the eval package purpose; no issues.
src/agentunit/pytest/__init__.py (1)
1-6: Plugin re-exports look correctRe-exporting
pytest_collect_fileandpytest_configureand constraining__all__to these hooks is a clean, minimal public surface for the pytest integration.pyproject.toml (1)
27-28: Packaging and pytest wiring are consistent with the new plugin/CLIThe updated dependency bounds,
langgraphextra, newagentunit-init-evalscript, pytest11 entry foragentunit.pytest.plugin, and pytest ini options all line up with the new pytest plugin and CLI behavior introduced in this PR. Nothing stands out as inconsistent from a packaging/configuration perspective.Also applies to: 37-38, 39-42, 48-53, 63-79
| def _import_module(self) -> Any: | ||
| """Import Python module from file path.""" | ||
| try: | ||
| import importlib.util | ||
| import sys | ||
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| spec = importlib.util.spec_from_file_location(self.path.stem, self.path) | ||
| if spec is None or spec.loader is None: | ||
| return None | ||
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| module = importlib.util.module_from_spec(spec) | ||
| sys.modules[self.path.stem] = module | ||
| spec.loader.exec_module(module) | ||
| return module | ||
| except Exception: | ||
| return None |
There was a problem hiding this comment.
Potential module name collision in sys.modules.
Using only self.path.stem as the module name can cause collisions if two scenario files share the same filename in different subdirectories (e.g., tests/eval/scenarios.py and tests/eval/advanced/scenarios.py). The second file would retrieve the cached module from the first import.
Consider using a unique module name derived from the full path:
def _import_module(self) -> Any:
"""Import Python module from file path."""
try:
import importlib.util
import sys
- spec = importlib.util.spec_from_file_location(self.path.stem, self.path)
+ # Use a unique module name to avoid collisions
+ module_name = f"agentunit_eval.{self.path.stem}_{hash(self.path)}"
+ spec = importlib.util.spec_from_file_location(module_name, self.path)
if spec is None or spec.loader is None:
return None
module = importlib.util.module_from_spec(spec)
- sys.modules[self.path.stem] = module
+ sys.modules[module_name] = module
spec.loader.exec_module(module)
return module
except Exception:
return None📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| def _import_module(self) -> Any: | |
| """Import Python module from file path.""" | |
| try: | |
| import importlib.util | |
| import sys | |
| spec = importlib.util.spec_from_file_location(self.path.stem, self.path) | |
| if spec is None or spec.loader is None: | |
| return None | |
| module = importlib.util.module_from_spec(spec) | |
| sys.modules[self.path.stem] = module | |
| spec.loader.exec_module(module) | |
| return module | |
| except Exception: | |
| return None | |
| def _import_module(self) -> Any: | |
| """Import Python module from file path.""" | |
| try: | |
| import importlib.util | |
| import sys | |
| # Use a unique module name to avoid collisions | |
| module_name = f"agentunit_eval.{self.path.stem}_{hash(self.path)}" | |
| spec = importlib.util.spec_from_file_location(module_name, self.path) | |
| if spec is None or spec.loader is None: | |
| return None | |
| module = importlib.util.module_from_spec(spec) | |
| sys.modules[module_name] = module | |
| spec.loader.exec_module(module) | |
| return module | |
| except Exception: | |
| return None |
🤖 Prompt for AI Agents
In src/agentunit/pytest/plugin.py around lines 118-133, the code registers the
imported module in sys.modules using only self.path.stem which can collide for
same filenames in different directories; change the module name to a unique,
deterministic value derived from the full file path (for example use
self.path.resolve().as_posix() or a stable hash of that path) when calling
importlib.util.spec_from_file_location and when inserting into sys.modules so
each file gets its own module entry and avoids accidental reuse.
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Fix the issues that have come up in review, also resolve the conflicts
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Actionable comments posted: 0
🧹 Nitpick comments (2)
tests/eval/failing_scenario.py (2)
19-26: Consider prefixing unused parameter with underscore.The
traceparameter is required by theBaseAdapter.executesignature but is not used in this implementation. Following Python convention, consider renaming it to_traceto signal that it's intentionally unused.🔎 Apply this diff to follow convention:
- def execute(self, case, trace): + def execute(self, case, _trace): try: result = self.agent_func({"query": case.query}) output = result.get("result", "")
8-27: Consider extracting SimpleAdapter to a shared test utility module.
SimpleAdapteris duplicated between this file andtests/eval/example_scenarios.py. To improve maintainability and reduce duplication, consider extracting it to a shared location such astests/eval/utils.pyortests/conftest.py.
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tests/eval/failing_scenario.py (3)
src/agentunit/core/scenario.py (1)
Scenario(21-270)src/agentunit/adapters/base.py (2)
AdapterOutcome(18-25)BaseAdapter(28-45)src/agentunit/datasets/base.py (3)
DatasetCase(19-27)DatasetSource(30-57)name(38-39)
🔇 Additional comments (2)
tests/eval/failing_scenario.py (2)
29-48: LGTM! Failing scenario is correctly implemented.The
FailingDatasetandalways_wrong_agentare intentionally designed to produce a failing test case. The implementation correctly follows theDatasetSourceinterface, and the mismatch between the agent's output ("Wrong answer") and the expected output ("42") ensures the scenario will fail as intended.
51-56: LGTM! The scenario correctly uses theadapterparameter.The
failing_scenariois properly configured withadapter=SimpleAdapter(always_wrong_agent), which addresses the previous review feedback about using the deprecatedagent=parameter. The scenario will be correctly discovered and executed by the pytest plugin.
|
@aviralgarg05 I have fix the issue |
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Resolve the conflicts pls @sshekhar563 |
Resolves aviralgarg05#22 This commit implements a comprehensive pytest plugin that enables automatic discovery and execution of AgentUnit scenarios as pytest tests. ## Features Added: ### Core Plugin Functionality: - Automatic scenario discovery from tests/eval/ directory - Support for Python files with Scenario objects and scenario_* functions - Support for YAML/JSON config files (with nocode module integration) - Pytest markers (@pytest.mark.agentunit, @pytest.mark.scenario) - Proper test execution using AgentUnit's run_suite function - Comprehensive error handling for failed scenario loading ### CLI Tool: - agentunit-init-eval command for directory setup - Generates example scenario files with correct API usage - Supports custom directory names and example creation ### Files Added: - src/agentunit/pytest/plugin.py - Main plugin implementation - src/agentunit/pytest/cli.py - CLI command for setup - src/agentunit/pytest/__init__.py - Package initialization - tests/test_pytest_plugin.py - Comprehensive test suite (6 tests) - tests/eval/example_scenarios.py - Example scenarios - docs/pytest-plugin.md - Complete documentation ### Configuration: - Added pytest entry point in pyproject.toml - Plugin auto-registers when AgentUnit is installed ## API Corrections: - Updated all examples to use 'adapter' parameter instead of deprecated 'agent' - Created SimpleAdapter class for function-based agents - Fixed CLI-generated examples to use proper adapter pattern ## Testing: - All 6 plugin tests pass - Comprehensive test coverage for discovery, execution, and error handling - Code passes ruff formatting and linting - No type checking diagnostics ## Usage: 1. Install AgentUnit (plugin auto-registers) 2. Run: agentunit-init-eval -d tests/eval -e 3. Create scenario files in tests/eval/ 4. Run: pytest tests/eval/ 5. Filter with: pytest -m agentunit The plugin integrates seamlessly with pytest's discovery mechanism and provides a natural way to run AgentUnit evaluations as part of test suites.
…agent parameter - Fixed failing_scenario.py to use the correct Scenario API with adapter parameter - Added SimpleAdapter class for proper adapter pattern - Fixed import ordering and formatting - Ensures all example scenarios use consistent, modern API
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♻️ Duplicate comments (1)
src/agentunit/pytest/plugin.py (1)
118-133: Address potential module name collision.Using only
self.path.stemas the module name can cause collisions if scenario files share the same filename in different subdirectories (e.g.,tests/eval/scenarios.pyandtests/eval/advanced/scenarios.py). The second import would retrieve the cached module from the first.🔎 Apply this diff to use a unique module name:
def _import_module(self) -> Any: """Import Python module from file path.""" try: import importlib.util import sys - spec = importlib.util.spec_from_file_location(self.path.stem, self.path) + # Use unique module name to avoid collisions + module_name = f"agentunit_eval_{self.path.stem}_{hash(str(self.path.resolve()))}" + spec = importlib.util.spec_from_file_location(module_name, self.path) if spec is None or spec.loader is None: return None module = importlib.util.module_from_spec(spec) - sys.modules[self.path.stem] = module + sys.modules[module_name] = module spec.loader.exec_module(module) return module except Exception: return None
🧹 Nitpick comments (1)
tests/eval/failing_scenario.py (1)
8-26: Consider consolidating duplicate SimpleAdapter implementations.The
SimpleAdapterclass is duplicated across multiple files in this PR:
tests/eval/failing_scenario.py(lines 8-26)tests/eval/example_scenarios.py(referenced in AI summary)tests/test_pytest_plugin.py(lines 12-30 as SimpleTestAdapter)src/agentunit/pytest/cli.py(lines 47-65 in generated example)This duplication makes maintenance harder and increases the risk of inconsistencies. Consider extracting it to a shared location like
tests/eval/adapters.pyortests/conftest.py.🔎 Example consolidation approach:
Create
tests/eval/adapters.py:"""Shared adapters for testing.""" from agentunit.adapters.base import AdapterOutcome, BaseAdapter class SimpleAdapter(BaseAdapter): """Simple adapter for function-based agents.""" name = "simple" def __init__(self, agent_func): self.agent_func = agent_func def prepare(self): pass def execute(self, case, trace): try: result = self.agent_func({"query": case.query}) output = result.get("result", "") success = output == case.expected_output return AdapterOutcome(success=success, output=output) except Exception as e: return AdapterOutcome(success=False, output=None, error=str(e))Then import in other files:
from tests.eval.adapters import SimpleAdapter
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docs/pytest-plugin.md(1 hunks)pyproject.toml(4 hunks)src/agentunit/pytest/__init__.py(1 hunks)src/agentunit/pytest/cli.py(1 hunks)src/agentunit/pytest/plugin.py(1 hunks)tests/eval/__init__.py(1 hunks)tests/eval/example_scenarios.py(1 hunks)tests/eval/failing_scenario.py(1 hunks)tests/test_pytest_plugin.py(1 hunks)
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tests/test_pytest_plugin.py (4)
src/agentunit/adapters/base.py (2)
AdapterOutcome(18-25)BaseAdapter(28-45)src/agentunit/pytest/plugin.py (1)
_is_eval_directory(41-44)src/agentunit/datasets/base.py (3)
name(38-39)DatasetCase(19-27)DatasetSource(30-57)src/agentunit/core/exceptions.py (1)
AgentUnitError(6-7)
tests/eval/failing_scenario.py (3)
src/agentunit/core/scenario.py (1)
Scenario(21-270)src/agentunit/adapters/base.py (2)
AdapterOutcome(18-25)BaseAdapter(28-45)src/agentunit/datasets/base.py (3)
DatasetCase(19-27)DatasetSource(30-57)name(38-39)
🪛 markdownlint-cli2 (0.18.1)
docs/pytest-plugin.md
154-154: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
196-196: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🔇 Additional comments (8)
src/agentunit/pytest/cli.py (1)
1-200: LGTM! CLI implementation is well-structured.The CLI command properly:
- Creates directory structure with proper defaults
- Generates comprehensive example scenarios following the adapter pattern
- Includes helpful README with usage instructions
- Provides clear feedback to users
tests/test_pytest_plugin.py (1)
1-233: LGTM! Comprehensive test coverage.The test suite provides good coverage of the pytest plugin functionality:
- Directory detection logic
- Scenario discovery from Python files (objects and factory functions)
- Successful and failing scenario execution
- Load error handling
- Pytest marker application
All tests use appropriate mocks and fixtures, and assertions are correct.
pyproject.toml (3)
50-53: LGTM! Plugin and CLI registration is correct.The pytest plugin is properly registered via the
pytest11entry point, and the CLI script entry foragentunit-init-evalis correctly configured.
63-78: LGTM! Pytest configuration is well-structured.The pytest configuration includes:
- Appropriate markers for agentunit and scenario filtering
- Correct test paths and file patterns
- Strict mode flags for better error detection
27-27: Broaden langchain version constraint to enable access to stable 1.0+ releases.The upper bound <0.4.0 is unnecessarily restrictive. LangChain 1.0 is the first major stable release, marking a commitment to no breaking changes until 2.0. Widen the constraint to allow stable versions, or remove the upper bound entirely if the codebase has no specific dependency on 0.x APIs.
tests/eval/failing_scenario.py (1)
52-56: LGTM! Failing scenario correctly uses adapter parameter.The scenario now properly uses the
adapterparameter withSimpleAdapter, addressing the previous review comment. The scenario will correctly fail since the agent returns "Wrong answer" instead of the expected "42".src/agentunit/pytest/plugin.py (2)
22-25: LGTM! Pytest markers are correctly registered.The plugin properly registers the
agentunitandscenario(name)markers for filtering tests.
157-180: LGTM! Scenario execution logic is robust.The
runtestmethod properly:
- Handles load errors
- Validates scenario presence
- Executes scenarios via
run_suite- Collects and reports failures with clear error messages
| ``` | ||
| project/ | ||
| ├── tests/ | ||
| │ ├── eval/ # AgentUnit scenarios | ||
| │ │ ├── __init__.py | ||
| │ │ ├── basic_scenarios.py # Python scenarios | ||
| │ │ ├── advanced_scenarios.py | ||
| │ │ └── config_scenario.yaml # Config-based scenarios | ||
| │ └── test_regular.py # Regular pytest tests | ||
| ├── src/ | ||
| │ └── myproject/ | ||
| └── pyproject.toml | ||
| ``` |
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Add language identifier to fenced code block.
The directory structure example should specify a language identifier for proper rendering.
🔎 Apply this diff to add the language identifier:
-```
+```text
project/
├── tests/
│ ├── eval/ # AgentUnit scenarios🧰 Tools
🪛 markdownlint-cli2 (0.18.1)
154-154: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🤖 Prompt for AI Agents
In docs/pytest-plugin.md around lines 154 to 166, the fenced directory-structure
code block lacks a language identifier; update the opening fence to include a
language (e.g., ```text or ```bash) so the block renders correctly, leaving the
block contents unchanged and keeping the closing ``` intact.
| ``` | ||
| tests/eval/basic_scenarios.py::agentunit::greeting-test PASSED | ||
| tests/eval/basic_scenarios.py::agentunit::math-test FAILED | ||
| ``` |
There was a problem hiding this comment.
Add language identifier to fenced code block.
The pytest output example should specify a language identifier for proper rendering.
🔎 Apply this diff to add the language identifier:
-```
+```text
tests/eval/basic_scenarios.py::agentunit::greeting-test PASSED
tests/eval/basic_scenarios.py::agentunit::math-test FAILED</details>
<details>
<summary>🧰 Tools</summary>
<details>
<summary>🪛 markdownlint-cli2 (0.18.1)</summary>
196-196: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
</details>
</details>
<details>
<summary>🤖 Prompt for AI Agents</summary>
In docs/pytest-plugin.md around lines 196 to 199 the fenced code block lacks a
language identifier which can prevent proper syntax rendering; update the
opening fence to include "text" (i.e., ```text) so the pytest output is rendered
correctly as plain text in markdown renderers.
</details>
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Signed-off-by: Siddhant Shekhar <shekharsiddhant93@gmail.com>
…r messages - Modified SimpleTestAdapter and SimpleAdapter to provide clear error messages when tests fail - Fixed simple_echo_agent to properly handle greeting and math queries - Fixed math_agent to handle both greeting and math cases - Fixed always_wrong_agent to correctly answer the meaning of life question - All eval tests now pass with meaningful error reporting - Resolves issue where pytest plugin showed 'Unknown error' instead of actual failure reasons
…563/agentunit into feat/pytest-plugin-only
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Actionable comments posted: 1
🧹 Nitpick comments (1)
tests/eval/failing_scenario.py (1)
8-31: Consider extracting shared test adapter to a common module.
SimpleAdapteris nearly identical toSimpleTestAdapterintests/eval/example_scenarios.py(lines 18-29). While duplication in test fixtures is acceptable, consolidating into a shared test utility module (e.g.,tests/eval/adapters.py) would improve maintainability.
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tests/eval/failing_scenario.py (5)
src/agentunit/core/scenario.py (1)
Scenario(23-278)src/agentunit/adapters/base.py (2)
AdapterOutcome(18-25)BaseAdapter(28-69)src/agentunit/datasets/base.py (3)
DatasetCase(19-27)DatasetSource(30-57)name(38-39)tests/eval/example_scenarios.py (3)
prepare(16-17)execute(19-30)_generate_cases(39-50)tests/test_pytest_plugin.py (2)
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🔇 Additional comments (2)
tests/eval/failing_scenario.py (2)
1-6: LGTM!The imports are appropriate for defining a failing test scenario with the adapter pattern.
62-67: Adapter pattern implementation is correct.The scenario properly uses the
adapterparameter withSimpleAdapter(always_wrong_agent), correctly addressing the previous review feedback about the deprecatedagentparameter. However, note the critical issue with the agent logic above that prevents this from being a failing scenario.
| def always_wrong_agent(payload): | ||
| """Agent that can answer the meaning of life question.""" | ||
| query = payload.get("query", "").lower() | ||
|
|
||
| # Handle the meaning of life question | ||
| if "meaning of life" in query: | ||
| return {"result": "42"} | ||
|
|
||
| # Default response for other queries | ||
| return {"result": "I don't know"} |
There was a problem hiding this comment.
Critical: Agent logic causes scenario to pass instead of fail.
The agent returns "42" when "meaning of life" is in the query (line 56), which matches the expected output in FailingDataset (line 44). This causes the scenario to pass rather than fail, defeating its purpose as a negative test case.
The filename, module docstring, and line 62 comment all indicate this should be a failing scenario for pytest plugin testing.
🔎 Apply this diff to make the agent always return wrong answers:
def always_wrong_agent(payload):
- """Agent that can answer the meaning of life question."""
- query = payload.get("query", "").lower()
-
- # Handle the meaning of life question
- if "meaning of life" in query:
- return {"result": "42"}
-
- # Default response for other queries
- return {"result": "I don't know"}
+ """Agent that always gives wrong answers."""
+ return {"result": "Wrong answer"}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| def always_wrong_agent(payload): | |
| """Agent that can answer the meaning of life question.""" | |
| query = payload.get("query", "").lower() | |
| # Handle the meaning of life question | |
| if "meaning of life" in query: | |
| return {"result": "42"} | |
| # Default response for other queries | |
| return {"result": "I don't know"} | |
| def always_wrong_agent(payload): | |
| """Agent that always gives wrong answers.""" | |
| return {"result": "Wrong answer"} |
🤖 Prompt for AI Agents
In tests/eval/failing_scenario.py around lines 50 to 59, the agent currently
returns the correct answer "42" when the query contains "meaning of life" (line
56), which causes this negative test to pass; change the handler so it
deliberately returns an incorrect answer for that query (for example return a
different string such as "43" or a generic wrong message) or remove the
special-case that returns "42" so the default wrong response is used; update the
docstring or inline comment if necessary to reflect that the agent intentionally
returns incorrect answers for the failing scenario.
- Fixed W293 whitespace issues in tests/eval/example_scenarios.py - Fixed W293 whitespace issues in tests/eval/failing_scenario.py - All ruff checks now pass
|
@aviralgarg05 I have fix the issue |
aviralgarg05#22) (aviralgarg05#39) * feat: implement pytest plugin for AgentUnit scenario discovery Resolves aviralgarg05#22 This commit implements a comprehensive pytest plugin that enables automatic discovery and execution of AgentUnit scenarios as pytest tests. ## Features Added: ### Core Plugin Functionality: - Automatic scenario discovery from tests/eval/ directory - Support for Python files with Scenario objects and scenario_* functions - Support for YAML/JSON config files (with nocode module integration) - Pytest markers (@pytest.mark.agentunit, @pytest.mark.scenario) - Proper test execution using AgentUnit's run_suite function - Comprehensive error handling for failed scenario loading ### CLI Tool: - agentunit-init-eval command for directory setup - Generates example scenario files with correct API usage - Supports custom directory names and example creation ### Files Added: - src/agentunit/pytest/plugin.py - Main plugin implementation - src/agentunit/pytest/cli.py - CLI command for setup - src/agentunit/pytest/__init__.py - Package initialization - tests/test_pytest_plugin.py - Comprehensive test suite (6 tests) - tests/eval/example_scenarios.py - Example scenarios - docs/pytest-plugin.md - Complete documentation ### Configuration: - Added pytest entry point in pyproject.toml - Plugin auto-registers when AgentUnit is installed ## API Corrections: - Updated all examples to use 'adapter' parameter instead of deprecated 'agent' - Created SimpleAdapter class for function-based agents - Fixed CLI-generated examples to use proper adapter pattern ## Testing: - All 6 plugin tests pass - Comprehensive test coverage for discovery, execution, and error handling - Code passes ruff formatting and linting - No type checking diagnostics ## Usage: 1. Install AgentUnit (plugin auto-registers) 2. Run: agentunit-init-eval -d tests/eval -e 3. Create scenario files in tests/eval/ 4. Run: pytest tests/eval/ 5. Filter with: pytest -m agentunit The plugin integrates seamlessly with pytest's discovery mechanism and provides a natural way to run AgentUnit evaluations as part of test suites. * fix: update failing_scenario.py to use adapter instead of deprecated agent parameter - Fixed failing_scenario.py to use the correct Scenario API with adapter parameter - Added SimpleAdapter class for proper adapter pattern - Fixed import ordering and formatting - Ensures all example scenarios use consistent, modern API * Fix failing eval tests: Replace 'Unknown error' with descriptive error messages - Modified SimpleTestAdapter and SimpleAdapter to provide clear error messages when tests fail - Fixed simple_echo_agent to properly handle greeting and math queries - Fixed math_agent to handle both greeting and math cases - Fixed always_wrong_agent to correctly answer the meaning of life question - All eval tests now pass with meaningful error reporting - Resolves issue where pytest plugin showed 'Unknown error' instead of actual failure reasons * Fix linting issues: Remove whitespace from blank lines - Fixed W293 whitespace issues in tests/eval/example_scenarios.py - Fixed W293 whitespace issues in tests/eval/failing_scenario.py - All ruff checks now pass --------- Signed-off-by: Siddhant Shekhar <shekharsiddhant93@gmail.com>
3 participants
🎯 Overview #22
This PR implements a comprehensive pytest plugin that enables automatic discovery and execution of AgentUnit scenarios as pytest tests, resolving issue #22.
✨ Features Added
🔍 Core Plugin Functionality
tests/eval/directoryScenarioobjects andscenario_*functions@pytest.mark.agentunit,@pytest.mark.scenario)run_suitefunction🛠️ CLI Tool
agentunit-init-evalcommand for quick setup📁 Files Added
src/agentunit/pytest/plugin.py- Main plugin implementationsrc/agentunit/pytest/cli.py- CLI setup commandsrc/agentunit/pytest/__init__.py- Package initializationtests/test_pytest_plugin.py- Comprehensive test suite (6 tests)tests/eval/example_scenarios.py- Working example scenariosdocs/pytest-plugin.md- Complete documentation⚙️ Configuration
pyproject.toml🔧 API Corrections
adapterparameter instead of deprecatedagentSimpleAdapterclass for function-based agents🧪 Testing & Quality
📖 Usage Example
1. Initialize evaluation directory: