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https://github.com/Stranger6667/hypothesis-graphql
Generate arbitrary queries matching your GraphQL schema, and use them to verify your backend implementation.
https://github.com/Stranger6667/hypothesis-graphql
data-generation graphql hypothesis python testing
Last synced: 3 months ago
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Generate arbitrary queries matching your GraphQL schema, and use them to verify your backend implementation.
- Host: GitHub
- URL: https://github.com/Stranger6667/hypothesis-graphql
- Owner: Stranger6667
- License: mit
- Created: 2020-04-07T16:54:50.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-05-20T20:47:43.000Z (6 months ago)
- Last Synced: 2024-05-22T11:32:43.949Z (6 months ago)
- Topics: data-generation, graphql, hypothesis, python, testing
- Language: Python
- Homepage: https://pypi.org/project/hypothesis-graphql/
- Size: 921 KB
- Stars: 40
- Watchers: 3
- Forks: 2
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- awesome-python-testing - hypothesis-graphql - Hypothesis strategies for GraphQL schemas, queries and data. (Rest API Testing)
README
# hypothesis-graphql
[](https://github.com/Stranger6667/hypothesis-graphql/actions)
[](https://codecov.io/gh/Stranger6667/hypothesis-graphql/branch/master)
[](https://pypi.org/project/hypothesis-graphql/)
[](https://pypi.org/project/hypothesis-graphql/)
[](https://discord.gg/VnxfdFmBUp)
[](https://opensource.org/licenses/MIT)
Generate queries matching your GraphQL schema, and use them to verify your backend implementation
It is a Python library that provides a set of [Hypothesis](https://github.com/HypothesisWorks/hypothesis/tree/master/hypothesis-python) strategies that
let you write tests parametrized by a source of examples.
Generated queries have arbitrary depth and may contain any subset of GraphQL types defined in the input schema.
They expose edge cases in your code that are unlikely to be found otherwise.
[Schemathesis](https://github.com/schemathesis/schemathesis) provides a higher-level interface around this library and finds server crashes automatically.
## Usage
`hypothesis-graphql` provides the `from_schema` function, which takes a GraphQL schema and returns a Hypothesis strategy for
GraphQL queries matching the schema:
```python
from hypothesis import given
from hypothesis_graphql import from_schema
import requests
# Strings and `graphql.GraphQLSchema` are supported
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
# }
# }
response = requests.post("http://127.0.0.1/graphql", json={"query": query})
assert response.status_code == 200
assert response.json().get("errors") is None
```
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:
```python
@given(from_schema(SCHEMA, fields=["getAuthors"]))
def test_graphql(query):
# Only `getAuthors` will be generated
...
```
You can customize the string generation with these arguments to `from_schema`:
- `allow_x00` (default `True`): Determines whether to allow the generation of `\x00` bytes within strings. It is useful to avoid rejecting tests as invalid by some web servers.
- `codec` (default `utf-8`): Specifies the codec used for generating strings. It helps if you need to restrict the inputs to, for example, the ASCII range.
```python
@given(from_schema(SCHEMA, allow_x00=False, codec="ascii"))
def test_graphql(query):
assert "\0" not in query
query.encode("ascii")
```
It is also possible to generate custom scalars. For example, `Date`:
```python
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.
## License
The code in this project is licensed under [MIT license](https://opensource.org/licenses/MIT).
By contributing to `hypothesis-graphql`, you agree that your contributions will be licensed under its MIT license.