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https://github.com/graphql-python/graphene-django.git
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4517e32224
* 🔧 Add pre-commit config Similar to graphene and graphene-sqlalchemy * ⬆ Bump black * 👷 Lint on CI * ⬆ Bump flake8-black * 🔧 Keep excluding migrations * ⬆ Bump flake8 * 🔧 Remove black and flake8 from tox config * ⬆ Update pre-commit versions * Upgrade syntax to python 3.7+ * Format with pre-commit dedent docs/schema.py to allow formatting * Fix tests on python 3.7
142 lines
4.5 KiB
Python
142 lines
4.5 KiB
Python
"""
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Settings for Graphene are all namespaced in the GRAPHENE setting.
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For example your project's `settings.py` file might look like this:
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GRAPHENE = {
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'SCHEMA': 'my_app.schema.schema'
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'MIDDLEWARE': (
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'graphene_django.debug.DjangoDebugMiddleware',
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)
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}
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This module provides the `graphene_settings` object, that is used to access
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Graphene settings, checking for user settings first, then falling
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back to the defaults.
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"""
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from django.conf import settings
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from django.test.signals import setting_changed
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import importlib # Available in Python 3.1+
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# Copied shamelessly from Django REST Framework
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DEFAULTS = {
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"SCHEMA": None,
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"SCHEMA_OUTPUT": "schema.json",
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"SCHEMA_INDENT": 2,
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"MIDDLEWARE": (),
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# Set to True if the connection fields must have
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# either the first or last argument
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"RELAY_CONNECTION_ENFORCE_FIRST_OR_LAST": False,
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# Max items returned in ConnectionFields / FilterConnectionFields
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"RELAY_CONNECTION_MAX_LIMIT": 100,
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"CAMELCASE_ERRORS": True,
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# Set to True to enable v2 naming convention for choice field Enum's
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"DJANGO_CHOICE_FIELD_ENUM_V2_NAMING": False,
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"DJANGO_CHOICE_FIELD_ENUM_CUSTOM_NAME": None,
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# Use a separate path for handling subscriptions.
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"SUBSCRIPTION_PATH": None,
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# By default GraphiQL headers editor tab is enabled, set to False to hide it
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# This sets headerEditorEnabled GraphiQL option, for details go to
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# https://github.com/graphql/graphiql/tree/main/packages/graphiql#options
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"GRAPHIQL_HEADER_EDITOR_ENABLED": True,
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"GRAPHIQL_SHOULD_PERSIST_HEADERS": False,
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"ATOMIC_MUTATIONS": False,
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"TESTING_ENDPOINT": "/graphql",
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}
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if settings.DEBUG:
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DEFAULTS["MIDDLEWARE"] += ("graphene_django.debug.DjangoDebugMiddleware",)
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# List of settings that may be in string import notation.
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IMPORT_STRINGS = ("MIDDLEWARE", "SCHEMA")
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def perform_import(val, setting_name):
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"""
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If the given setting is a string import notation,
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then perform the necessary import or imports.
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"""
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if val is None:
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return None
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elif isinstance(val, str):
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return import_from_string(val, setting_name)
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elif isinstance(val, (list, tuple)):
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return [import_from_string(item, setting_name) for item in val]
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return val
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def import_from_string(val, setting_name):
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"""
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Attempt to import a class from a string representation.
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"""
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try:
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# Nod to tastypie's use of importlib.
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parts = val.split(".")
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module_path, class_name = ".".join(parts[:-1]), parts[-1]
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module = importlib.import_module(module_path)
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return getattr(module, class_name)
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except (ImportError, AttributeError) as e:
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msg = "Could not import '{}' for Graphene setting '{}'. {}: {}.".format(
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val,
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setting_name,
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e.__class__.__name__,
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e,
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)
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raise ImportError(msg)
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class GrapheneSettings:
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"""
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A settings object, that allows API settings to be accessed as properties.
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For example:
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from graphene_django.settings import settings
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print(settings.SCHEMA)
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Any setting with string import paths will be automatically resolved
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and return the class, rather than the string literal.
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"""
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def __init__(self, user_settings=None, defaults=None, import_strings=None):
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if user_settings:
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self._user_settings = user_settings
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self.defaults = defaults or DEFAULTS
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self.import_strings = import_strings or IMPORT_STRINGS
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@property
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def user_settings(self):
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if not hasattr(self, "_user_settings"):
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self._user_settings = getattr(settings, "GRAPHENE", {})
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return self._user_settings
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def __getattr__(self, attr):
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if attr not in self.defaults:
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raise AttributeError("Invalid Graphene setting: '%s'" % attr)
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try:
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# Check if present in user settings
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val = self.user_settings[attr]
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except KeyError:
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# Fall back to defaults
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val = self.defaults[attr]
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# Coerce import strings into classes
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if attr in self.import_strings:
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val = perform_import(val, attr)
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# Cache the result
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setattr(self, attr, val)
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return val
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graphene_settings = GrapheneSettings(None, DEFAULTS, IMPORT_STRINGS)
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def reload_graphene_settings(*args, **kwargs):
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global graphene_settings
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setting, value = kwargs["setting"], kwargs["value"]
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if setting == "GRAPHENE":
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graphene_settings = GrapheneSettings(value, DEFAULTS, IMPORT_STRINGS)
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setting_changed.connect(reload_graphene_settings)
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