This is the smallest possible thing that could work for both the local
development case and the case where we are targeting the Pulumi
Service.
Pulling down the pulumiframework and component packages here is a bit
of a feel bad, but we plan to rework the model soon enough to a
provider model which will remove the need for us to hold on to this
code (and will bring back the factoring where the CLI does not have
baked in knowledge of the Pulumi Cloud Framework).
Fixes#527
Adds OpenTracing in the Pulumi engine and plugin + langhost subprocesses.
We currently create a single root span for any `Enging.plan` operation - which is a single `preview`, `update`, `destroy`, etc.
The only sub-spans we currently create are at gRPC boundaries, both on the client and server sides and on both the langhost and provider plugin interfaces.
We could extend this to include spans for any other semantically meaningful sections of compute inside the engine, though initial examples show we get pretty good granularity of coverage by focusing on the gRPC boundaries.
In the future, this should be easily extensible to HTTP boundaries and to track other bulky I/O like datastore read/writes once we hook up to the PPC and Pulumi Cloud.
We expose a `--trace <endpoint>` option to enable tracing on the CLI, which we will aim to thread through to subprocesses.
We currently support sending tracing data to a Zipkin-compatible endpoint. This has been validated with both Zipkin and Jaeger UIs.
We do not yet have any tracing inside the TypeScript side of the JS langhost RPC interface. There is not yet automatic gRPC OpenTracing instrumentation (though it looks like it's in progress now) - so we would need to manually create meaningful spans on that side of the interface.
Now, instead of having a .pulumi folder next to each project, we have
a single .pulumi folder in the root of the repository. This is created
by running `pulumi init`.
When run in a git repository, `pulumi init` will place the .pulumi
file next to the .git folder, so it can be shared across all projects
in a repository. When not in a git repository, it will be created in
the current working directory.
We also start tracking information about the repository itself, in a
new `repo.json` file stored in the root of the .pulumi folder. The
information we track are "owner" and "name" which map to information
we use on pulumi.com.
When run in a git repository with a remote named origin pointing to a
GitHub project, we compute the owner and name by deconstructing
information from the remote's URL. Otherwise, we just use the current
user's username and the name of the current working directory as the
owner and name, respectively.
We now encrypt secrets at rest based on a key derived from a user
suplied passphrase.
The system is designed in a way such that we should be able to have a
different decrypter (either using a local key or some remote service
in the Pulumi.com case in the future).
Care is taken to ensure that we do not leak decrypted secrets into the
"info" section of the checkpoint file (since we currently store the
config there).
In addtion, secrets are "pay for play", a passphrase is only needed
when dealing with a value that's encrypted. If secure config values
are not used, `pulumi` will never prompt you for a
passphrase. Otherwise, we only prompt if we know we are going to need
to decrypt the value. For example, `pulumi config <key>` only prompts
if `<key>` is encrypted and `pulumi deploy` and friends only prompt if
you are targeting a stack that has secure configuration assoicated
with it.
Secure values show up as unecrypted config values inside the language
hosts and providers.
This PR adds `login` and `logout` commands to the `pulumi` CLI.
Rather than requiring a user name and password like before, we instead require users to login with GitHub credentials on the Pulumi Console website. (You can do this now via https://beta.moolumi.io.) Once there, the account page will show you an "access token" you can use to authenticate against the CLI.
Upon successful login, the user's credentials will be stored in `~/.pulumi/credentials.json`. This credentials file will be automatically read with the credentials added to every call to `PulumiRESTCall`.
We use `git describe --tags` to construct a version number based on
the current version tag.
The properties VERSION (when using make) and Version (when using
MSBuild) can be explicitly set to use a fixed value instead.
Fixes#13
Previously we used the word "Environment" as the term for a deployment
target, but since then we've started to use the term Stack. Adopt this
across the CLI.
From a user's point of view, there are a few changes:
1. The `env` verb has been renamed to `stack`
2. The `-e` and `--env` options to commands which operate on an
environment now take `-s` or `--stack` instead.
3. Becase of (2), the commands that used `-s` to display a summary now
only support passing the full option name (`--summary`).
On the local file system, we still store checkpoint data in the `env`
sub-folder under `.pulumi` (so we can reuse existing checkpoint files
that were written to the old folder)
Previously, the engine would write to io.Writer's to display output.
When hosted in `pulumi` these writers were tied to os.Stdout and
os.Stderr, but other applications hosting the engine could send them
other places (e.g. a log to be sent to an another application later).
While much better than just using the ambient streams, this was still
not the best. It would be ideal if the engine could just emit strongly
typed events and whatever is hosting the engine could care about
displaying them.
As a first step down that road, we move to a model where operations on
the engine now take a `chan engine.Event` and during the course of the
operation, events are written to this channel. It is the
responsibility of the caller of the method to read from the channel
until it is closed (singifying that the operation is complete).
The events we do emit are still intermingle presentation with data,
which is unfortunate, but can be improved over time. Most of the
events today are just colorized in the client and printed to stdout or
stderr without much thought.
Internally we end up using flag to parse our command lines because of
our dependency on glog. When flag does not know about -C, if someone
passes -C before the sub command name (as is common for folks coming
from Git) the flag package terminates the program because -C was not
defined. So just teach flag this exists until we takle #301 and rid
ourselves of glog.
Previously, you could pass an explicit path to a Pulumi program when
running preview or update and the tool would use that program when
planning or deploying, but continue to write state in the cwd. While
being able to operate on a specific package without having to cd'd all
over over the place is nice, this specific implemntation was a little
scary because it made it easier to run two different programs with the
same local state (e.g config and checkpoints) which would lead to
surprising results.
Let's move to a model that some tools have where you can pass a
working directory and the tool chdir's to that directory before
running. This way any local state that is stored will be stored
relative to the package we are operating on instead of whatever the
current working directory is.
Fixes#398
This includes a few changes:
* The repo name -- and hence the Go modules -- changes from pulumi-fabric to pulumi.
* The Node.js SDK package changes from @pulumi/pulumi-fabric to just pulumi.
* The CLI is renamed from lumi to pulumi.
