name: pytest-python
description: >-
Use for writing, reviewing, debugging, or structuring Python tests with pytest, including fixtures, scopes, parametrization, monkeypatch, temporary paths, exceptions, warnings, subprocesses, and teardown. Do not use for Hypothesis property design, unittest-only suites, or application code with no pytest task.
argument-hint: "[pytest Python task, code, contract, or failure]"
---
# pytest Python
Use the smallest explicit execution contract that preserves semantics. Inspect
the installed version before relying on a drifting signature. State ownership,
input and output shapes, ordering, failure behavior, and the verification command
before writing substantial code.
## Object and execution model
| Object | Meaning | Boundary |
|---|---|---|
| `test item` | One collected executable test case. | Parametrization creates distinct items and mutable parameters are not copied. |
| fixture | A dependency-provided test context. | Its scope controls cache lifetime, not safe mutation policy. |
| request | The active item and fixture-resolution context. | Dynamic fixture lookup hides dependencies and requires justification. |
| monkeypatch | A reversible mutation ledger for one test scope. | Patch the name looked up by code under test. |
| outcome | Pass, fail, error, skip, or expected failure. | Do not turn known defects into unconditional passing tests. |
Read [the object model](references/object-model.md) when the task mixes two
objects or crosses an execution boundary.
## Workflow
1. Identify the behavior, observable result, external dependencies, and cleanup obligations.
Choose unit, integration, or subprocess scope and mark it explicitly.
Build the smallest fixture graph with visible ownership and deterministic inputs.
Parametrize boundaries and patch lookup sites rather than implementations globally.
Run the narrow item, then the suite; inspect collection, warnings, skips, and teardown errors.
## Decision rules
- Arrange state in explicit fixtures and release it with `yield` plus `finally`; teardown must work after assertion and setup failures.
Choose the narrowest fixture scope compatible with cost and isolation; never share mutable function expectations through session scope.
Patch the symbol in the module that looks it up, before the call under test, and prefer dependency injection for code you own.
Parametrize behaviorally distinct boundaries with readable IDs; do not mutate parameter values between items.
Assert exception type and meaningful fields or message fragments, and keep the call that must raise inside the raises block.
Block real network, clock, randomness, home-directory, and subprocess dependencies unless the test is explicitly an integration test.
If a required fact is unknown, inspect the target code, installed signature,
schema, shape, or lifecycle owner. Do not replace an unknown with a permissive
fallback. See [the decision guide](references/decision-guide.md).
## Complex solution routes
Load only the matching section of
[the evaluated recipes](references/recipes-solutions.md):
- `pytest.patch-lookup-site` and `pytest.verify-patch-restoration`: patch the symbol used by the target module instead of its origin.
pytest.yield-fixture-owner and pytest.verify-teardown-on-failure: release an owned resource even when a test fails.
pytest.parametrize-invalid-boundaries and pytest.verify-distinct-items: cover invalid boundaries as distinct parametrized items.
Recipes are anchors, not blind templates. Preserve their named invariants and
adapt types and names only after inspecting the actual boundary.
## Verification contract
- Test observable behavior, not the presence of API tokens.
- Exercise empty, singleton, malformed, and failure inputs when the operation
accepts them.
- Assert shape, dtype or type, ordering, ownership, and error semantics where
they are part of the contract.
- Keep external I/O deterministic with injected clocks, transports, processes,
files, random state, or test doubles.
- Run the narrow test first, then the relevant project suite. Do not declare
completion when warnings, background failures, convergence flags, or cleanup
errors remain unexplained.
Use [the verification matrix](references/verification.md) for completion checks.
## Failure routing and adaptation
Classify a failure before changing code: input-contract failures require a
precise rejection; environment or version failures require inspection; execution
failures require lifecycle, convergence, or cleanup evidence; invariant failures
require a semantic correction. Do not relax a check, coerce a value, broaden a
failure handler, or materialize data merely to make the symptom disappear.
When adapting a recipe:
1. Match its objects, ownership, execution timing, and output contract to the task.
2. Preserve every branch condition and completion check while changing domain names.
3. Add the project's real empty, malformed, duplicate, cancellation, precision, or
boundary case before removing any guard.
4. If the installed API differs, inspect the signature and primary documentation,
then update implementation, test, and authoring evidence together.
## Version grounding
Inspect the installed package and signature when editing an existing project.
Treat examples here as verified anchors for the version recorded by the Foundry,
not as permission to overwrite a repository's compatibility policy. When current
behavior differs, preserve the project target and update tests and authoring
evidence together.
## Completion
Complete the task only when the implementation preserves the declared object
model, no accidental materialization or lifetime extension was introduced, all
failures are surfaced at the correct boundary, and deterministic tests prove the
critical behavior. Report any environment or version fact that could not be
verified.
1---2name: pytest-python3description: ---4---5---6 name: pytest-python7 description: >-8 Use for writing, reviewing, debugging, or structuring Python tests with pytest, including fixtures, scopes, parametrization, monkeypatch, temporary paths, exceptions, warnings, subprocesses, and teardown. Do not use for Hypothesis property design, unittest-only suites, or application code with no pytest task.9 argument-hint: "[pytest Python task, code, contract, or failure]"10 ---1112 # pytest Python1314 Use the smallest explicit execution contract that preserves semantics. Inspect15 the installed version before relying on a drifting signature. State ownership,16 input and output shapes, ordering, failure behavior, and the verification command17 before writing substantial code.1819 ## Object and execution model2021 | Object | Meaning | Boundary |22 |---|---|---|23 | `test item` | One collected executable test case. | Parametrization creates distinct items and mutable parameters are not copied. |24| `fixture` | A dependency-provided test context. | Its scope controls cache lifetime, not safe mutation policy. |25| `request` | The active item and fixture-resolution context. | Dynamic fixture lookup hides dependencies and requires justification. |26| `monkeypatch` | A reversible mutation ledger for one test scope. | Patch the name looked up by code under test. |27| `outcome` | Pass, fail, error, skip, or expected failure. | Do not turn known defects into unconditional passing tests. |2829 Read [the object model](references/object-model.md) when the task mixes two30 objects or crosses an execution boundary.3132 ## Workflow3334 1. Identify the behavior, observable result, external dependencies, and cleanup obligations.352. Choose unit, integration, or subprocess scope and mark it explicitly.363. Build the smallest fixture graph with visible ownership and deterministic inputs.374. Parametrize boundaries and patch lookup sites rather than implementations globally.385. Run the narrow item, then the suite; inspect collection, warnings, skips, and teardown errors.3940 ## Decision rules4142 - Arrange state in explicit fixtures and release it with `yield` plus `finally`; teardown must work after assertion and setup failures.43- Choose the narrowest fixture scope compatible with cost and isolation; never share mutable function expectations through session scope.44- Patch the symbol in the module that looks it up, before the call under test, and prefer dependency injection for code you own.45- Parametrize behaviorally distinct boundaries with readable IDs; do not mutate parameter values between items.46- Assert exception type and meaningful fields or message fragments, and keep the call that must raise inside the raises block.47- Block real network, clock, randomness, home-directory, and subprocess dependencies unless the test is explicitly an integration test.4849 If a required fact is unknown, inspect the target code, installed signature,50 schema, shape, or lifecycle owner. Do not replace an unknown with a permissive51 fallback. See [the decision guide](references/decision-guide.md).5253 ## Complex solution routes5455 Load only the matching section of56 [the evaluated recipes](references/recipes-solutions.md):5758 - `pytest.patch-lookup-site` and `pytest.verify-patch-restoration`: patch the symbol used by the target module instead of its origin.59- `pytest.yield-fixture-owner` and `pytest.verify-teardown-on-failure`: release an owned resource even when a test fails.60- `pytest.parametrize-invalid-boundaries` and `pytest.verify-distinct-items`: cover invalid boundaries as distinct parametrized items.6162 Recipes are anchors, not blind templates. Preserve their named invariants and63 adapt types and names only after inspecting the actual boundary.6465 ## Verification contract6667 - Test observable behavior, not the presence of API tokens.68 - Exercise empty, singleton, malformed, and failure inputs when the operation69 accepts them.70 - Assert shape, dtype or type, ordering, ownership, and error semantics where71 they are part of the contract.72 - Keep external I/O deterministic with injected clocks, transports, processes,73 files, random state, or test doubles.74 - Run the narrow test first, then the relevant project suite. Do not declare75 completion when warnings, background failures, convergence flags, or cleanup76 errors remain unexplained.7778 Use [the verification matrix](references/verification.md) for completion checks.7980 ## Failure routing and adaptation8182 Classify a failure before changing code: input-contract failures require a83 precise rejection; environment or version failures require inspection; execution84 failures require lifecycle, convergence, or cleanup evidence; invariant failures85 require a semantic correction. Do not relax a check, coerce a value, broaden a86 failure handler, or materialize data merely to make the symptom disappear.8788 When adapting a recipe:8990 1. Match its objects, ownership, execution timing, and output contract to the task.91 2. Preserve every branch condition and completion check while changing domain names.92 3. Add the project's real empty, malformed, duplicate, cancellation, precision, or93 boundary case before removing any guard.94 4. If the installed API differs, inspect the signature and primary documentation,95 then update implementation, test, and authoring evidence together.9697 ## Version grounding9899 Inspect the installed package and signature when editing an existing project.100 Treat examples here as verified anchors for the version recorded by the Foundry,101 not as permission to overwrite a repository's compatibility policy. When current102 behavior differs, preserve the project target and update tests and authoring103 evidence together.104105 ## Completion106107 Complete the task only when the implementation preserves the declared object108 model, no accidental materialization or lifetime extension was introduced, all109 failures are surfaced at the correct boundary, and deterministic tests prove the110 critical behavior. Report any environment or version fact that could not be111 verified.