Instead of simplifying any module that ends with `/<name>`, only simplify
types where `<name>` matches the type name portion after camel-casing.
This continues to simplify tfbridge types like `aws:s3/bucket:Bucket`,
but would not simplify a type like `aws:s3:Bucket`.
We're not going to generate language-specific API docs for the Azure NextGen provider, only resource docs. This change makes it so the resource docs do not emit any links to nonexistent API docs.
We recently made a change to the Python codegen to emit `int` type annotations, instead of `float`, for properties that are typed as `schema.IntType`.
But the number values that come back from protobuf structs are always floats (like JSON), so we need to cast the values intended to be integers to `int`.
* Revise host mode.
The current implementation of host mode uses a `pulumi host` command and
an ad-hoc communication protocol between the engine and client to
connect a language host after the host has begun listening. The most
significant disadvantages of this approach are the communication
protocol (which currently requires the use of stdout), the host-specific
command, and the difficulty of accommodating the typical program-bound
lifetime for an update.
These changes reimplement host mode by adding engine support for
connecting to an existing language runtime service rather than launching
a plugin. This capability is provided via an engine-specific language
runtime, `client`, which accepts the address of the existing languge
runtime service as a runtime option. The CLI exposes this runtime via
the `--client` flag to the `up` and `preview` commands, which similarly
accepts the address of an existing language runtime service as an
argument. These changes also adjust the automation API to consume the
new host mode implementation.
When installing a plugin, if it contains a `PulumiPlugin.yaml` file with a `runtime` value of `nodejs` or `python`, install dependencies for the plugin.
For Node.js, `npm install` is run (or `yarn install` if `PULUMI_PREFER_YARN` is set).
For Python, a virtual environment is created and deps installed into it.