Pulumi 3.0 raises an error when a dict value is passed as an input but the type annotation does not accept a dict. Unfortunately, this prevents historical cases where a dict value is allowed but the type annotation doesn't match. We need to fix the type annotations, but in the meantime, we should not raise an error in the SDK for such cases as it breaks existing programs.
Pulumi 3.0 uses type annotations for input values to determine whether dict keys should be translated from snake_case to camelCase or not. This additional inspection of types did not work correctly on Python 3.6 due to some missing functionality on that version of Python which we need to provide an implementation for. Specifically, when inspecting `Union` args to determine whether or not a value is intended to be an input class or user-defined dict. To address the issue, this change improves how we get the args for `Union` types when running on Python 3.6 to behave the same way as later versions of Python (for our purposes). Existing tests fail on Python 3.6 before this change, and pass after.
We were only looking at the current resource class's type/name metadata for camelCase <=> snake_case property name translations which prevented it from working correctly when using a subclass of a resource. This change addresses this by looking at metadata of the current class and any base classes.
Additionally, to help resolve forward references when getting type hints, we'd pass along the current resource class's globals, which doesn't work correctly when using a subclass of a resource. This change also addresses this, by using the globals of the current class and any base classes.
See #6200 for a complete description of the issue. In short, we generate
inconsistent names for object types depending on whether or not they are
transitively reachable from resources or functions, which risks
unintentional breaking changes due to schema updates.
1. Name "input" types differently: `TArgs` for a type that is used in
resource inputs, having `Input<T>` properties, and `T` for a type
that is used in invoke inputs. The same schema type can produce both.
2. Always keep the name `T` for output types, avoid appending `Result` to
the name.
3. As needed, introduce a flag in the existing providers' schemas to avoid
breaking changes. Consider removing it on a major version bump.
Fixes#6200.
This change addresses Python dictionary key translation issues. When the
type of `props` passed to the resource is decorated with `@input_type`,
the type's and resource's property name metadata will be used for dict
key translations instead of the resource's `translate_input_property`
and `translate_output_property` methods.
The generated provider SDKs will be updated to opt-in to this new
behavior:
- FIX: Keys in user-defined dicts will no longer be unintentionally
translated/modified.
- BREAKING: Dictionary keys in nested output classes are now
consistently snake_case. If accessing camelCase keys from such output
classes, move to accessing the values via the snake_case property
getters (or snake_case keys). Generated SDKs will log a warning
when accessing camelCase keys.
When serializing inputs:
- If a value is a dict and the associated type is an input type, the
dict's keys will be translated based on the input type's property
name metadata.
- If a value is a dict and the associated type is a dict (or Mapping),
the dict's keys will _not_ be translated.
When resolving outputs:
- If a value is a dict and the associated type is an output type, the
dict's keys will be translated based on the output type's property
name metadata.
- If a value is a dict and the associated type is a dict (or Mapping),
the dict's keys will _not_ be translated.
The current logic lets unhandled errors in the RPC invocation
unahandled in the async loop, which crashes the process due to
the way we await completion of RPCs before exiting the process
in Python. Instead of doing that, we can just marshal them back
to the synchronous awaiter as part of the calling convention,
and have that awaiter (which is called by the invoke methods)
re-raise the exception. This should fixpulumi/pulumi#3611.
The Project and Stack save routines were erroneously
dumping the Python objects rather than the __dict__
property, which resulted in some extra annotations
in the resulting YAML files. Some parsers don't handle
these annotations correctly, and consider the resulting
YAML file to be invalid.
dotnet, nodejs and python automation APIs did not specify exec-kind for
refresh or destroy operations. This is now added following the same
logic from the go automation API.
