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Test Api Serializer

Name: Test Api Serializer
Author: engremran07

Serializer tests: to_representation, to_internal_value, validation. Use when: testing DRF serializer output, input validation, custom field logic.

engremran070 스타2026. 4. 14.

직업
카테고리: 과학 컴퓨팅

스킬 내용

API Serializer Tests

When to Use

Testing serializer output matches expected JSON structure
Verifying serializer validation rejects bad input
Testing custom to_representation / to_internal_value
Checking nested serializer behavior

Rules

Testing Serialization Output

import pytest

@pytest.mark.django_db
def test_serializer_output():
    from tests.factories import FirmwareFactory
    from apps.firmwares.serializers import FirmwareSerializer
    fw = FirmwareFactory(version="1.0.0")
    serializer = FirmwareSerializer(fw)
    data = serializer.data
    assert data["version"] == "1.0.0"
    assert "id" in data
    assert "created_at" in data

@pytest.mark.django_db
def test_serializer_excludes_sensitive():
    from tests.factories import UserFactory
    from apps.users.serializers import UserSerializer
    user = UserFactory()
    data = UserSerializer(user).data
    assert "password" not in data
    assert "email" in data

관련 스킬

Test Api Serializer | Skills Pool

@pytest.mark.django_db
def test_serializer_valid_input():
    from apps.firmwares.serializers import FirmwareSerializer
    data = {"version": "1.0.0", "build_number": "100"}
    serializer = FirmwareSerializer(data=data)
    assert serializer.is_valid(), serializer.errors

@pytest.mark.django_db
def test_serializer_invalid_input():
    from apps.firmwares.serializers import FirmwareSerializer
    serializer = FirmwareSerializer(data={})
    assert not serializer.is_valid()
    assert "version" in serializer.errors

@pytest.mark.django_db
@pytest.mark.parametrize("field,value", [
    ("version", ""),
    ("version", None),
    ("file_size", -1),
])
def test_serializer_field_validation(field, value):
    from apps.firmwares.serializers import FirmwareSerializer
    serializer = FirmwareSerializer(data={field: value})
    assert not serializer.is_valid()
    assert field in serializer.errors

@pytest.mark.django_db
def test_serializer_validate_method():
    from apps.firmwares.serializers import FirmwareSerializer
    data = {"version": "1.0.0", "min_android": "15", "max_android": "10"}
    serializer = FirmwareSerializer(data=data)
    assert not serializer.is_valid()
    assert "non_field_errors" in serializer.errors

@pytest.mark.django_db
def test_read_only_field_ignored():
    from apps.firmwares.serializers import FirmwareSerializer
    data = {"version": "1.0.0", "download_count": 999}
    serializer = FirmwareSerializer(data=data)
    if serializer.is_valid():
        obj = serializer.save()
        assert obj.download_count != 999  # Read-only, should be default

@pytest.mark.django_db
def test_nested_serializer():
    from tests.factories import FirmwareFactory
    from apps.firmwares.serializers import FirmwareDetailSerializer
    fw = FirmwareFactory()
    data = FirmwareDetailSerializer(fw).data
    assert "model" in data
    assert "brand" in data["model"]

& .\.venv\Scripts\python.exe -m ruff check . --fix
& .\.venv\Scripts\python.exe -m ruff format .
& .\.venv\Scripts\python.exe manage.py check --settings=app.settings_dev

Test Api Serializer

API Serializer Tests

When to Use

Rules

Testing Serialization Output

Test Api Serializer

API Serializer Tests

When to Use

Rules

Testing Serialization Output

Testing Deserialization (Input Validation)

Testing Custom Validation

Testing Read-Only Fields

Testing Nested Serializers

Red Flags

Quality Gate

Deep Research

Data Analyst

Academic Researcher

Data Scientist

Biopython

Binary Analysis Patterns