assertpy2 2.6.0

Fluent assertion library for Python with composable matchers, structural matching, and full type safety

Fluent assertion library for Python with composable matchers, structural matching, and full type safety.
A modern, batteries-included fork of assertpy.

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Quick start

pip install assertpy2  # drop-in replacement for assertpy, just change the import

from assertpy2 import assert_that

def test_user():
    user = {"name": "Alice", "age": 30, "roles": ["viewer", "editor"]}

    assert_that(user).contains_key("name", "age")
    assert_that(user["age"]).is_between(18, 120)
    assert_that(user["roles"]).contains("viewer").does_not_contain("admin")
    assert_that(user).has_name("Alice")

Why fluent assertions?

# bare assert - passes, but failure message is useless
assert user["age"] >= 18
# AssertionError

# assertpy2 - same check, clear failure message
assert_that(user["age"]).is_greater_than_or_equal_to(18)
# AssertionError: Expected <16> to be greater than or equal to <18>, but was not.

# bare assert - three separate statements
assert isinstance(items, list)
assert len(items) == 3
assert "admin" in items

# assertpy2 - one fluent chain
assert_that(items).is_type_of(list).is_length(3).contains("admin")

Type-aware autocomplete

assert_that() uses @overload to return type-specific Protocols. Your IDE shows only methods relevant to the value you're testing, not all 100+:

• assert_that("hello"). → string methods: starts_with, matches, is_alpha, ...
• assert_that(42). → numeric methods: is_positive, is_between, is_close_to, ...
• assert_that(Path("/tmp")). → path methods: exists, is_file, is_readable, ...
• assert_that(my_dict). → dict methods: contains_key, contains_entry, has_json_path, ...
• assert_that(b"\x89PNG"). → bytes methods: starts_with_bytes, is_valid_utf8, decoded_as, ...

9 type-specific Protocols instead of one Any. Works in PyCharm, VS Code, and any LSP-compatible editor.

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Features

Fluent API

• Composable matchers: match.greater_than(5), match.is_uuid(), combine with &, |, ~. Also work with plain assert ==.
• Structural matching: matches_structure() for declarative dict/API response validation.
• Universal negation: .not_ inverts any assertion without dedicated is_not_* methods.
• Collection pipeline: filtered_on(), mapped(), flat_mapped(), first(), last(), element(), single().
• Fluent chaining: write assertions as readable one-liners that chain naturally.

Built-in types

• Strings, numbers, lists, tuples, sets, dicts, dates, booleans, objects, bytes, files, exceptions.
• Bytes assertions: is_valid_utf8(), starts_with_bytes(), is_hex_equal_to(), decoded_as() for bytes/bytearray.
• JSON assertions: JSONPath navigation and JSON Schema validation. pip install assertpy2[json].
• Dynamic assertions: has_<name>() for any attribute, property, or zero-argument method.
• Dict comparison: is_equal_to() with ignore and include for selective key/field matching (dicts, dataclasses, namedtuples, Pydantic models, attrs, plain objects).
• Extracting: flatten collections on attributes with filter and sort support.

Testing

• Soft assertions: thread-safe, async-safe via contextvars. Group errors with sa.group(), or use assert_all().
• Async assertions: eventually() with polling/retry for eventual consistency.
• Structured errors: AssertionFailure with .actual, .expected, .diff attributes.
• Rich pytest diffs: recursive structural diffs for lists, sets, strings, dicts, dataclasses, namedtuples, Pydantic models. Circular reference protection.
• Snapshot testing: store and compare data structures in JSON format.

Type safety

• Type-aware autocomplete: 9 Protocols, IDE shows only relevant methods per type.
• py.typed: Self return types, PEP 561 compliant (PEP 561).

Extensibility

• Custom matchers: register_matcher() for domain-specific matchers, composable with &, |, ~.
• Regex group extraction: extracting_group() and matches_with_groups() for regex captures.
• Extensions: add_extension() for custom assertion methods.

Integrations

• Allure: auto-attach structured diff and actual/expected data to reports. pip install assertpy2[allure].
• Behave: ready-made parameter types for step definitions. pip install assertpy2[behave].

See the full documentation for all assertion methods, examples, and advanced features.

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Integrations

Allure

When allure-pytest is installed, the pytest plugin auto-attaches structured failure data to Allure reports as JSON attachments.

pip install assertpy2[allure]

Three modes controlled via pytest.ini (or pyproject.toml):

Mode	What is attached
diff (default)	Structured Diff JSON (path-level breakdown)
full	Structured Diff + actual/expected JSON
off	Nothing

# pyproject.toml
[tool.pytest.ini_options]
assertpy2_allure = "full"

Behave

Ready-made parameter types for Behave step definitions:

pip install assertpy2[behave]

# in environment.py or steps/conftest.py
from assertpy2.behave_matchers import register_assertpy_types
register_assertpy_types()

Then use in step definitions:

@given('a user aged {age:PositiveInt}')
def step_impl(context, age):
    context.age = age  # already validated as int > 0

Available types: PositiveInt, NonNegativeInt, PositiveFloat, NonEmptyString, BoolLike.

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BSD 3-Clause License