By default, debugging events are not displayed by `pulumi`; the `-d`
flag must be provided to enable their display. This is necessary e.g.
to view debugging output from Terraform when TF logging is enabled.
These changes add the option to display debug output from `pulumi` to
the integration test framework.
These changes also contain a small fix for the display of component
children.
Parallelize collection of logs at each layer of the resource tree walk. Since almost all cost of log collection is at leaf nodes, this should allow the total time for log collection to be close to the time taken for the single longest leaf node, instead of the sum of all leaf nodes.
We need to clear the resource filter during the resource tree walk to ensure that logs from children of matched resources are collected and aggregated.
We have to reverse engineer the name from the soruce LogGroup information since that is all we got at runtime, but luckily that is sufficient given current name generation approach.
This kind of code is *very* sensitive to any changes to automatic name generation - but that is likely inevitable at this layer.
Outside of `.pulumiignore` we support a few "default" excludes that
try to push folks towards a pit of succes.
Previously, there was no way to opt out of these, which would be bad
if our huristics caused something youto really care about to be
elided. With this change, we add an optional setting in Pulumi.yaml
that allows you to opt out of this behavior.
As part of the work, I changed .git to be one of these "default"
excludes instead of it only happening if you had a .pulumiignore file
in a directory
Previously, we would archive every file in node_modules, however we
only actually needed the production modules. This change adds an
implicit ignorer when walking a directory that has a package.json file
in to exclude stuff under `node_modules` which is not pulled in via an
entry in the `dependencies` section of the package.json.
This change will also cause the archives that we upload to not include
either pulumi or any @pulumi/... packages, since they are not listed
in the dependencies section ofa package.json. This is fine, since we
linked in the versions we have in the cloud anyway. When we move to
using npm for these packages (instead of linking) then they will be
included.
This won't be needed once pulumi/pulumi-ppc#95 has landed and we've
updated our PPCs, but for now always add directory entires (even if
the files would be excluded) for every directory.
When working on the `.pulumiignore` support, I added a small command
that would just dump the file we sent to the service (without actually
talking to the service) so I could do some measurements on archive
sizes.
I mentioned this to Chris who said he had hacked up a similar thing
for something he was working on, so it felt worthwhile to check this
command in (hidden behind a flag) to share the implementation.
This command is hidden behind an environment variable, so customers
will not see it unless they opt in.
When deploying a project via the Pulumi.com service, we have to upload
the entire "context" of your project to Pulumi.com. The context of the
program is all files in the directory tree rooted by the `Pulumi.yaml`
file, which will often contain stuff we don't want to upload, but
previously we had no control over what would be updated (and so folks
would do hacky things like delete folders before running `pulumi
update`).
This change adds support for `.pulumiignore` files which should behave
like `.gitignore`. In addition, we were not previously compressing
files when we added them to the zip archive we uploaded and now.
By default, every .pulumiignore file is treated as if it had an
exclusion for `.git/` at the top of the file (users can override this
by adding an explicit `!.git/` to their file) since it is very
unlikely for there to ever be a reason to upload the .git folder to
the service.
Fixespulumi/pulumi-service#122
This change adds back component output properties. Doing so
requires splitting the RPC interface for creating resources in
half, with an initial RegisterResource which contains all of the
input properties, and a final CompleteResource which optionally
contains any output properties synthesized by the component.
This change switches from child lists to parent pointers, in the
way resource ancestries are represented. This cleans up a fair bit
of the old parenting logic, including all notion of ambient parent
scopes (and will notably address pulumi/pulumi#435).
This lets us show a more parent/child display in the output when
doing planning and updating. For instance, here is an update of
a lambda's text, which is logically part of a cloud timer:
* cloud:timer:Timer: (same)
[urn=urn:pulumi:malta::lm-cloud:☁️timer:Timer::lm-cts-malta-job-CleanSnapshots]
* cloud:function:Function: (same)
[urn=urn:pulumi:malta::lm-cloud:☁️function:Function::lm-cts-malta-job-CleanSnapshots]
* aws:serverless:Function: (same)
[urn=urn:pulumi:malta::lm-cloud::aws:serverless:Function::lm-cts-malta-job-CleanSnapshots]
~ aws:lambda/function:Function: (modify)
[id=lm-cts-malta-job-CleanSnapshots-fee4f3bf41280741]
[urn=urn:pulumi:malta::lm-cloud::aws:lambda/function:Function::lm-cts-malta-job-CleanSnapshots]
- code : archive(assets:2092f44) {
// etc etc etc
Note that we still get walls of text, but this will be actually
quite nice when combined with pulumi/pulumi#454.
I've also suppressed printing properties that didn't change during
updates when --detailed was not passed, and also suppressed empty
strings and zero-length arrays (since TF uses these as defaults in
many places and it just makes creation and deletion quite verbose).
Note that this is a far cry from everything we can possibly do
here as part of pulumi/pulumi#340 (and even pulumi/pulumi#417).
But it's a good start towards taming some of our output spew.
Adds support for top-level exports in the main script of a Pulumi Program to be captured as stack-level output properties.
This create a new `pulumi:pulumi:Stack` component as the root of the resource tree in all Pulumi programs. That resources has properties for each top-level export in the Node.js script.
Running `pulumi stack` will display the current value of these outputs.
A handful of UX improvments for config:
- `pulumi config ls` has been removed. Now, `pulumi config` with no
arguments prints the table of configuration values for a stack and
a new command `pulumi config get <key>` prints the value for a
single configuration key (useful for scripting).
- `pulumi config text` and `pulumi config secret` have been merged
into a single command `pulumi config set`. The flag `--secret` can
be used to encrypt the value we store (like `pulumi config secret`
used to do).
- To make it obvious that setting a value with `pulumi config set` is
in plan text, we now echo a message back to the user saying we
added the configuration value in plaintext.
Fixes#552
This change fixes getProject to return the project name, as
originally intended. (One line was missing.)
It also adds an integration test for this.
Fixespulumi/pulumi#580.
Because the Pulumi.yaml file demarcates the boundary used when
uploading a program to the Pulumi.com service at the moment, we
have trouble when a Pulumi program uses "up and over" references.
For instance, our customer wants to build a Dockerfile located
in some relative path, such as `../../elsewhere/`.
To support this, we will allow the Pulumi.yaml file to live
somewhere other than the main Pulumi entrypoint. For example,
it can live at the root of the repo, while the Pulumi program
lives in, say, `infra/`:
Pulumi.yaml:
name: as-before
main: infra/
This fixespulumi/pulumi#575. Further work can be done here to
provide even more flexibility; see pulumi/pulumi#574.
When producing a snapshot for a plan, we have two resource DAGs. One of
these is the base DAG for the plan; the other is the current DAG for the
plan. Any resource r may be present in both DAGs. In order to produce a
snapshot, we need to merge these DAGs such that all resource
dependencies are correctly preserved. Conceptually, the merge proceeds
as follows:
- Begin with an empty merged DAG.
- For each resource r in the current DAG, insert r and its outgoing
edges into the merged DAG.
- For each resource r in the base DAG:
- If r is in the merged DAG, we are done: if the resource is in the
merged DAG, it must have been in the current DAG, which accurately
captures its current dependencies.
- If r is not in the merged DAG, insert it and its outgoing edges
into the merged DAG.
Physically, however, each DAG is represented as list of resources
without explicit dependency edges. In place of edges, it is assumed that
the list represents a valid topological sort of its source DAG. Thus,
any resource r at index i in a list L must be assumed to be dependent on
all resources in L with index j s.t. j < i. Due to this representation,
we implement the algorithm above as follows to produce a merged list
that represents a valid topological sort of the merged DAG:
- Begin with an empty merged list.
- For each resource r in the current list, append r to the merged list.
r must be in a correct location in the merged list, as its position
relative to its assumed dependencies has not changed.
- For each resource r in the base list:
- If r is in the merged list, we are done by the logic given in the
original algorithm.
- If r is not in the merged list, append r to the merged list. r
must be in a correct location in the merged list:
- If any of r's dependencies were in the current list, they must
already be in the merged list and their relative order w.r.t.
r has not changed.
- If any of r's dependencies were not in the current list, they
must already be in the merged list, as they would have been
appended to the list before r.
Prior to these changes, we had been performing these operations in
reverse order: we would start by appending any resources in the old list
that were not in the new list, then append the whole of the new list.
This caused out-of-order resources when a program that produced pending
deletions failed to run to completion.
Fixes#572.
In an effort to improve performance and overall reliability, this PR moves the responsibility of uploading the Pulumi program from the Pulumi Service to the CLI. (Part of fixing https://github.com/pulumi/pulumi-service/issues/313.)
Previously the CLI would send (the dozens of MiB) program archive to the Service, which would then upload the data to S3. Now the CLI sends the data to S3 directly, avoiding the unnecessary copying of data around.
The Service-side API changes are in https://github.com/pulumi/pulumi-service/pull/323. I tested previews, updates, and destroys running the service and PPC on localhost.
The PR refactors how we handle the three kinds of program updates, and just unifies them into a single method. This makes the diff look crazy, but the code should be much simpler. I'm not sure what to do about supporting all the engine options for the Cloud-variants of Pulumi commands; I suspect that's something that should be handled at a later time.
* Simplify how we capture 'this' in our serialization logic.
* Properly capture 'arguments'
* add tests for 'arguments' capture.
* Properly serialize out 'arguments'
* Invert 'with' and function closure.
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
These changes introduce a new field, `Raw`, to `diag.Message`. This
field indicates that the contents of the message are not a format string
and should not be rendered via `Sprintf` during stringification.
The plugin std{out,err} readers have been updated to use raw messages,
and the event reader in `pulumi` has been fixed s.t. it does not format
event payloads before display.
Fixes#551.
This change formats log messages the same way that Node.js does
in its console.log/error APIs. This ensures, for example, that
errors have their stack printed if present, and switches over to
just printing the error directly rather than manually toStringing it.
Add the ability to upload data and timing for test runs to S3. Uploaded data is designed to be queried via a service like AWS Athena and these queries can then be imported into BI tools (Excel, QuickSight, PowerBI, etc.)
Initially hook this up to the `minimal` test as a baseline.
