Skip to main content

Hypothesis strategies for GraphQL queries and mutations

Project description

hypothesis-graphql

Build Coverage Version Python versions Chat License

Hypothesis strategies for GraphQL operations. Allows you to generate arbitrary GraphQL queries for the given schema. It starts with simple examples and iteratively goes to more complex ones.

For web API testing, Schemathesis provides a higher-level wrapper and can detect internal server errors.

Usage

hypothesis_graphql exposes the from_schema function, which takes a GraphQL schema and returns a Hypothesis strategy for defined queries and mutations:

from hypothesis import given
from hypothesis_graphql import from_schema

SCHEMA = """
type Book {
  title: String
  author: Author
}

type Author {
  name: String
  books: [Book]
}

type Query {
  getBooks: [Book]
  getAuthors: [Author]
}

type Mutation {
  addBook(title: String!, author: String!): Book!
  addAuthor(name: String!): Author!
}
"""


@given(from_schema(SCHEMA))
def test_graphql(query):
    # Will generate samples like these:
    #
    # {
    #   getBooks {
    #     title
    #   }
    # }
    #
    # mutation {
    #   addBook(title: "H4Z\u7869", author: "\u00d2"){
    #     title
    #   }
    # }
    ...

It is also possible to generate queries or mutations separately with hypothesis_graphql.queries and hypothesis_graphql.mutations.

Customization

To restrict the set of fields in generated operations use the fields argument:

@given(from_schema(SCHEMA, fields=["getAuthors"]))
def test_graphql(query):
    # Only `getAuthors` will be generated
    ...

It is also possible to generate custom scalars. For example, Date:

from hypothesis import strategies as st, given
from hypothesis_graphql import from_schema, nodes

SCHEMA = """
scalar Date

type Query {
  getByDate(created: Date!): Int
}
"""


@given(
    from_schema(
        SCHEMA,
        custom_scalars={
            # Standard scalars work out of the box, for custom ones you need
            # to pass custom strategies that generate proper AST nodes
            "Date": st.dates().map(nodes.String)
        },
    )
)
def test_graphql(query):
    # Example:
    #
    #  { getByDate(created: "2000-01-01") }
    #
    ...

The hypothesis_graphql.nodes module includes a few helpers to generate various node types:

  • String -> graphql.StringValueNode
  • Float -> graphql.FloatValueNode
  • Int -> graphql.IntValueNode
  • Object -> graphql.ObjectValueNode
  • List -> graphql.ListValueNode
  • Boolean -> graphql.BooleanValueNode
  • Enum -> graphql.EnumValueNode
  • Null -> graphql.NullValueNode (a constant, not a function)

They exist because classes like graphql.StringValueNode can't be directly used in map calls due to kwarg-only arguments.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hypothesis-graphql-0.9.0.tar.gz (13.2 kB view details)

Uploaded Source

Built Distribution

hypothesis_graphql-0.9.0-py3-none-any.whl (15.2 kB view details)

Uploaded Python 3

File details

Details for the file hypothesis-graphql-0.9.0.tar.gz.

File metadata

  • Download URL: hypothesis-graphql-0.9.0.tar.gz
  • Upload date:
  • Size: 13.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for hypothesis-graphql-0.9.0.tar.gz
Algorithm Hash digest
SHA256 7f30e41450f979edbfd951b5161581baea318a04f7a9db56399ee464c313bfae
MD5 a16e1068e1e15b849172cc1f7f921f0c
BLAKE2b-256 cbc535b7d9bff89b2369d350f75d5f79c7164e127c631b68d58ea9c3a88e567d

See more details on using hashes here.

File details

Details for the file hypothesis_graphql-0.9.0-py3-none-any.whl.

File metadata

File hashes

Hashes for hypothesis_graphql-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5022950fe7483addbd242702c71380aec993ca1d0b291bf3dee9de67a638cbbc
MD5 eef0e3cba442e4e5b9581662184d736b
BLAKE2b-256 443e8ebe37888f5bc3648ac572cf0fbbd3caab7095bc546d98ee87c6de49c6b5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page