AGENT SKILL

django-test-data

Design faster, clearer Django test data and test structure with factories, setUpTestData, SimpleTestCase/TestCase choices, fixture-file cleanup, query optimization, and unit-vs-integration boundaries. Use when Django tests create too much data, rely on slow fixtures, overuse TransactionTestCase, duplicate setup, or need refactoring for speed without losing coverage.

License 许可
MIT
最近更新
2026-11-13
Stars
★ 1.6k
Forks
483

01 前言 Front Matter

name
django-test-data
license
MIT
metadata
{ "tags": "django,testing,test-data,factories,pytest", "version": "0.1.0", "category": "Django", "displayName": "Django Test Data" }
description
Design faster, clearer Django test data and test structure with factories, setUpTestData, SimpleTestCase/TestCase choices, fixture-file cleanup, query optimization, and unit-vs-integration boundaries. Use when Django tests create too much data, rely on slow fixtures, overuse TransactionTestCase, duplicate setup, or need refactoring for speed without losing coverage.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.

02 资源文件 1

03 SKILL.md 正文

Django Test Data

Most slow Django suites spend time building data they do not need or exercising full request/database paths for behavior that can be tested at a smaller boundary. Use this skill to reduce setup cost while keeping representative integration coverage.

Refactoring Workflow

  1. Map the behavior under test.

    • Identify the smallest useful boundary: function, form, model method, middleware, command helper, view, or full request path.
    • Keep a few integration tests for wiring; move detailed cases to unit tests where the boundary is clean.
  2. Choose the fastest test base class.

    • SimpleTestCase: no database access.
    • TestCase: ordinary database tests with rollback.
    • TransactionTestCase: committed transaction behavior only.
    • LiveServerTestCase: browser/live-server tests only.
  3. Remove broad fixture data.

    • Avoid large fixture files and base classes that always create objects.
    • Build only the data each test or class needs.
  4. Use factories deliberately.

    • Start with small factory functions when the domain is simple.
    • Use Factory Boy or Model Bakery when relationships and variants become repetitive.
  5. Share class-level data with setUpTestData.

    • Use setUpTestData() for database objects reused by multiple methods in a TestCase.
    • Avoid mutating shared in-memory objects across methods.
  6. Optimize database access in test setup and assertions.

    • Use select_related, prefetch_related, or bulk_create where setup/query cost is the bottleneck.
    • Assert query counts for hot paths when performance is part of the contract.

Read patterns.md for examples and decision details.

Decision Rules

  • If a test does not need the database, use SimpleTestCase.
  • If only some tests need the database, split them into separate classes.
  • If a test requires committed transaction behavior, first check whether captureOnCommitCallbacks() or an inner atomic() is enough.
  • If many tests share expensive objects, use setUpTestData instead of setUp.
  • If fixture files are hard to understand or grow over time, replace them with factories.
  • If a test depends on hard-coded auto-increment IDs, fix the assertion rather than enabling reset_sequences=True.
  • Combine assertions when they describe one behavior produced by one expensive action.

Common Mistakes

  • Testing form validation only through rendered HTML instead of inspecting form errors directly.
  • Leaving management-command business logic inside handle(), forcing tests through call_command().
  • Using TransactionTestCase as the default.
  • Putting data in a base TestCase that only a few subclasses need.
  • Treating factories as permission to create a large object graph for every test.
  • Mutating objects created by setUpTestData and leaking in-memory state to later tests.

Verification

Before finishing a refactor:

  • The old behavior remains covered at the right level.
  • Database-using and non-database tests are split where useful.
  • Repeated setup moved to setUpTestData or factories only where it reduces cost.
  • Relevant tests pass individually and as part of their module/class.

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