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.
This change avoids `RuntimeError: There is no current event loop in thread '<thread_name>'` errors when passing a resource as an input multiple times when using mocks.
The problem is that when using mocks, we deserialize the gRPC inputs before passing them to the user's mock methods. Deserializing inputs doesn't typically require an event loop, however, during deserialization of resource references, we end up creating some instances of `Future`, which does require an event loop to be present for the current thread. If this is done multiple times for a resource, it's possible that `deserialize_properties` will be called on an asyncio thread that doesn't yet have an event loop, resulting in the error being raised.
The error does not occur when only passing the resource reference once because typically the thread (e.g. `asyncio_0`) used in that case will have already had an event loop created for it due to the use of the internal `_syncawait` when _serializing_ the source resource's properties, which ensures an event loop is set for the thread.
The fix is to ensure an event loop is created for the thread in the mocks implementation before calling `deserialize_properties`.
Adds a `--limit` flag to `pulumi stack history. This allows limiting to the last few entries rather than fetching the entirety of a stack's update history (which can be quite slow for stacks with lots of updates). Example: `pulumi stack history --limit 1` fetches the last history entry only.
`stack.up` and related operations in the Automation API have been updated to consume this change, drastically reducing overhead.
`Output.from_input` deeply unwraps nested output values in dicts and lists, but doesn't currently do that for the more recently added "input types" (i.e. args classes). This leads to errors when using args classes with output values with `Provider` resources, which uses `Output.from_input` on each input property and then serializes the value to JSON in an `apply`. This changes fixes `Output.from_input` to recurse into values within args classes to properly unwrap any nested outputs.
