Test/verify suite template #52
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WalkthroughAdds a new test module implementing an FAQItem dataclass, a MockDataset iterator, a MockAgent with connect/answer, and a FAQAdapter subclass of BaseAdapter; includes a test that runs prepare/execute over the dataset and asserts AdapterOutcome.success and expected output. Changes
Sequence Diagram(s)(Skipped — change is a test addition without a significant new multi-component control-flow feature.) Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Possibly related issues
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In @tests/test_suite_template.py:
- Around line 29-44: The test class FAQAdapter has Ruff formatting failures: add
a blank line between each method definition (__init__, prepare, execute) so
there is one blank line separating methods, and fix the AdapterOutcome call in
execute by adding a space after the comma (change
AdapterOutcome(success=success,output=response) to include a space after the
comma). Run ruff format to apply these fixes across the file.
🧹 Nitpick comments (1)
tests/test_suite_template.py (1)
14-14: Consider usingIterator[FAQItem]for__iter__return type.The return type
Generator[FAQItem]works but convention suggestsIterator[FAQItem]for__iter__methods. While generators are iterators so this functions correctly, usingIteratorbetter matches Python's typing conventions for the iterator protocol.♻️ Optional type hint refinement
+from collections.abc import Generator, Iterator ... - def __iter__(self) -> Generator[FAQItem]: + def __iter__(self) -> Iterator[FAQItem]:
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tests/test_suite_template.py
[error] 1-1: Ruff format check failed. 1 file would be reformatted. Run 'ruff format' to fix.
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (2)
- GitHub Check: Test (Python 3.12)
- GitHub Check: Test (Python 3.10)
🔇 Additional comments (3)
tests/test_suite_template.py (3)
7-10: LGTM!Clean dataclass definition appropriate for the test scenario.
18-27: LGTM!The mock agent implementation is appropriately simple for testing purposes. The string-matching logic in
answer()is intentionally basic and sufficient for this test scenario.
46-61: LGTM!The test function correctly verifies the FAQAdapter flow from the documentation template. It follows good test structure (setup, execute, assert) and validates the happy path as intended by the PR objectives. The assertions appropriately check both the success flag and output content.
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In @tests/test_suite_template.py:
- Around line 45-52: The execute method signature violates BaseAdapter: change
the method to match BaseAdapter by declaring def execute(self, case:
DatasetCase, trace: TraceLog) -> AdapterOutcome (or make trace: TraceLog = None
if optional), import TraceLog and DatasetCase from their module, and replace
uses of the old input_data: FAQItem with case (e.g., extract the question and
expected answer from case where you previously used
input_data.question/input_data.answer) while keeping the return
AdapterOutcome(success=..., output=...) and still calling self.agent.answer to
produce the response.
🧹 Nitpick comments (1)
tests/test_suite_template.py (1)
65-70: Test will need updating after fixing the signature mismatch.Once the
FAQAdapter.execute()signature is corrected to matchBaseAdapter, this test will need to pass atraceparameter (orNone) when callingadapter.execute().Additionally, consider verifying that the adapter properly conforms to the BaseAdapter interface by checking that it can be used polymorphically:
# Example: verify it works as a BaseAdapter adapter_base: BaseAdapter = FAQAdapter()This would catch signature mismatches at type-checking time.
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tests/test_suite_template.py (1)
src/agentunit/adapters/base.py (2)
AdapterOutcome(18-25)BaseAdapter(28-69)
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- GitHub Check: Test (Python 3.12)
- GitHub Check: Test (Python 3.10)
🔇 Additional comments (3)
tests/test_suite_template.py (3)
1-10: LGTM!The imports are clean and the FAQItem dataclass appropriately models the test data structure.
13-18: LGTM!The MockDataset provides a simple, hardcoded dataset appropriate for unit testing the adapter flow.
21-31: LGTM!The MockAgent implementation correctly simulates agent behavior for the test scenarios, with logic that matches the expected answers in the dataset.
tests/test_suite_template.py
Outdated
| def execute(self, input_data: FAQItem) -> AdapterOutcome: | ||
| # The core logic we want to test | ||
| response = self.agent.answer(input_data.question) | ||
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| # Simple exact match check | ||
| success = response == input_data.answer | ||
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| return AdapterOutcome(success=success, output=response) |
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Critical: Signature mismatch violates BaseAdapter contract.
The execute() method signature does not match the abstract method defined in BaseAdapter. According to the base class (src/agentunit/adapters/base.py), the signature should be:
def execute(self, case: DatasetCase, trace: TraceLog) -> AdapterOutcomeYour implementation is missing the required trace: TraceLog parameter and uses a different parameter name/type (input_data: FAQItem instead of case: DatasetCase). This violates the abstract base class contract and prevents the adapter from being used polymorphically.
🔧 Proposed fix to match BaseAdapter signature
- def execute(self, input_data: FAQItem) -> AdapterOutcome:
+ def execute(self, case: FAQItem, trace: TraceLog | None = None) -> AdapterOutcome:
# The core logic we want to test
- response = self.agent.answer(input_data.question)
+ response = self.agent.answer(case.question)
# Simple exact match check
- success = response == input_data.answer
+ success = response == case.answer
return AdapterOutcome(success=success, output=response)Note: You'll need to import TraceLog from the appropriate module. If the trace parameter isn't needed for this test adapter, you can make it optional with a default of None.
🤖 Prompt for AI Agents
In @tests/test_suite_template.py around lines 45 - 52, The execute method
signature violates BaseAdapter: change the method to match BaseAdapter by
declaring def execute(self, case: DatasetCase, trace: TraceLog) ->
AdapterOutcome (or make trace: TraceLog = None if optional), import TraceLog and
DatasetCase from their module, and replace uses of the old input_data: FAQItem
with case (e.g., extract the question and expected answer from case where you
previously used input_data.question/input_data.answer) while keeping the return
AdapterOutcome(success=..., output=...) and still calling self.agent.answer to
produce the response.
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3 participants
Description
This PR adds a unit test (
tests/test_suite_template.py) that implements theFAQAdapterpattern described indocs/templates/suite_template.py.It verifies that the documentation example correctly implements the
BaseAdapterinterface and produces validAdapterOutcomeobjects.Closes #4
Type of Change
Changes Made
tests/test_suite_template.pywhich:FAQAdapterinheriting fromBaseAdapter.Testing
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