This commit adds a fallback for the README definition in the generated
setup.py files for Python SDKs, thus allowing editable installs of
packages which not yet been built.
Co-authored-by: Luke Hoban <luke@pulumi.com>
This commit adds a new language option for Python generation to specify
the package name instead of using `pulumi_x` where x is the name defined
in the schema.
A new test is added, and this has also been shown to produce no diff
when run against `pulumi-eks`.
* Import subpackages lazily
* Tighten up lazy_import impl
* Eagerly register resources, but lazily load their impl
* Add CHANGELOG entry
* Satisfy lint
* Restore mypy behavior so the change is not breaking
* Fix golden tests
These changes fix a regression introduced by #6686 that caused the SDK
code generators for .NET, Python, and Typescript to omit definitions for
plain object types. This regression occurred because #6686 drew a
clearer line between types used as resource arguments and types used
as function arguments, but conflated "resource arguments" with "inputty
types". This caused the code generators to generate inputty types for
any types used as resource arguments, even those that are used for
plainly-typed properties.
Fixes#6796.
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.
These have been deprecated for a very long time and it's a trivial change to remove them from the generated code. Let's clean this up for the 3.0-based providers.
This change updates the Python SDK codegen to opt-in to the new casing
translation behavior, which will use the passed-in props type's property
name metadata for translations, rather than calling the resource's
`translate_input_property` and `translate_output_property` methods.
- 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). A warning will be logged 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.
Add support for creating instances of resources in Python using a
`<Resource>Args` class. This capability aligns with how args are passed
to resources in all the other language SDKs and the separate object bag
allows the properties to be manipulated/validated/passed-around before
creating the resource.
This change adds schema and codegen support for plain properties which
are emitted typed as the plain type rather than wrapped as an `Input`.
Plain properties require a prompt value and do not accept a value that
is `Output`.
This new optional file can be used to include additional metadata about the provider plugin (such as version and custom server URL), which the Python language host will use when determining a program's required plugins.
This change fixes the codegen to emit the file in the correct location (inside the package dir). Note: Providers need to opt-in to emitting this file via a schema option (because it requires some Makefile changes to insert the version in the file) and we haven't done that with any of our providers yet.
Implement GetRequiredPlugins for Python, which determines the plugins
required by the program.
Also, if the `virtualenv` runtime option is set, and the specified
virtual directory is missing or empty, automatically create it and
install dependencies into it.
Generate ResourcePackage and ResourceModule implementations and
registrations. A ResourcePackage is generated for any module that
includes a provider resource (which should be the root module only), and
a ResourceModule is generated for any module that includes a resource.
And add version info to Python registrations.
Generate ResourcePackage and ResourceModule implementations and
registrations. A ResourcePackage is generated for any module that
includes a provider resource (which should be the root module only), and
a ResourceModule is generated for any module that includes a resource.
Note that version information is currently omitted. We should fix this
up before enabling resource reference deserialization end-to-end.
Non-string provider inputs must be projected as JSON formatted strings. The current codegen simply calls `json.dumps` for such properties, but this does not work for the new input types, which aren't JSON serializable.
To address this, make use of the new `pulumi.runtime.to_json` utility function, which is capable of serializing raw dicts and input types as JSON.
We currently emit array types as `List[T]` for Python, but `List[T]` is invariant, which causes type checkers like mypy to produce errors when values like `["foo", "bar"]` are passed as args typed as `List[pulumi.Input[str]]`. Instead, we should move to using `Sequence[T]` which is covariant, and does not have this problem.
We actually already do this for `Dict` vs. `Mapping`, emitting map types as `Mapping[str, T]` rather than `Dict[str, T]` because `Mapping[str, T]` is covariant. This change makes us consistent for array types.
