Closed
Description
Looking at the braintree source, the braintree.Environment class has references to preset Environment instances:
>>> import braintree
>>> dir(braintree.Environment)
['All', 'Development', 'Production', 'QA', 'Sandbox', '__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'auth_url', 'base_url', 'braintree_root', 'graphql_port', 'graphql_server', 'graphql_server_and_port', 'parse_environment', 'port', 'protocol', 'server', 'server_and_port']Notice the All, Development, Production, QA, Sandbox attributes above.
It seems braintree type stubs don't know about these. In my client code I configure the braintree library like so:
braintree.Configuration.configure(
**{
"environment": braintree.Environment.Sandbox,
"merchant_id": "...",
"public_key": "...",
"private_key": "...",
}
)This code triggers a mypy warning:
path/to/file.py:123: error: "type[Environment]" has no attribute "Sandbox" [attr-defined]