2017-12-10 17:37:22 +01:00
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// Code generated by protoc-gen-go.
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Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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// source: analyzer.proto
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2017-12-10 17:37:22 +01:00
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// DO NOT EDIT!
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Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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/*
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2017-09-22 04:18:21 +02:00
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Package pulumirpc is a generated protocol buffer package.
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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It is generated from these files:
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analyzer.proto
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engine.proto
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2017-11-17 03:21:41 +01:00
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language.proto
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2017-12-01 22:50:32 +01:00
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plugin.proto
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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provider.proto
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2017-11-17 03:21:41 +01:00
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resource.proto
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Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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It has these top-level messages:
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AnalyzeRequest
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AnalyzeResponse
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AnalyzeFailure
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LogRequest
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Implement initial Lumi-as-a-library
This is the initial step towards redefining Lumi as a library that runs
atop vanilla Node.js/V8, rather than as its own runtime.
This change is woefully incomplete but this includes some of the more
stable pieces of my current work-in-progress.
The new structure is that within the sdk/ directory we will have a client
library per language. This client library contains the object model for
Lumi (resources, properties, assets, config, etc), in addition to the
"language runtime host" components required to interoperate with the
Lumi resource monitor. This resource monitor is effectively what we call
"Lumi" today, in that it's the thing orchestrating plans and deployments.
Inside the sdk/ directory, you will find nodejs/, the Node.js client
library, alongside proto/, the definitions for RPC interop between the
different pieces of the system. This includes existing RPC definitions
for resource providers, etc., in addition to the new ones for hosting
different language runtimes from within Lumi.
These new interfaces are surprisingly simple. There is effectively a
bidirectional RPC channel between the Lumi resource monitor, represented
by the lumirpc.ResourceMonitor interface, and each language runtime,
represented by the lumirpc.LanguageRuntime interface.
The overall orchestration goes as follows:
1) Lumi decides it needs to run a program written in language X, so
it dynamically loads the language runtime plugin for language X.
2) Lumi passes that runtime a loopback address to its ResourceMonitor
service, while language X will publish a connection back to its
LanguageRuntime service, which Lumi will talk to.
3) Lumi then invokes LanguageRuntime.Run, passing information like
the desired working directory, program name, arguments, and optional
configuration variables to make available to the program.
4) The language X runtime receives this, unpacks it and sets up the
necessary context, and then invokes the program. The program then
calls into Lumi object model abstractions that internally communicate
back to Lumi using the ResourceMonitor interface.
5) The key here is ResourceMonitor.NewResource, which Lumi uses to
serialize state about newly allocated resources. Lumi receives these
and registers them as part of the plan, doing the usual diffing, etc.,
to decide how to proceed. This interface is perhaps one of the
most subtle parts of the new design, as it necessitates the use of
promises internally to allow parallel evaluation of the resource plan,
letting dataflow determine the available concurrency.
6) The program exits, and Lumi continues on its merry way. If the program
fails, the RunResponse will include information about the failure.
Due to (5), all properties on resources are now instances of a new
Property<T> type. A Property<T> is just a thin wrapper over a T, but it
encodes the special properties of Lumi resource properties. Namely, it
is possible to create one out of a T, other Property<T>, Promise<T>, or
to freshly allocate one. In all cases, the Property<T> does not "settle"
until its final state is known. This cannot occur before the deployment
actually completes, and so in general it's not safe to depend on concrete
resolutions of values (unlike ordinary Promise<T>s which are usually
expected to resolve). As a result, all derived computations are meant to
use the `then` function (as in `someValue.then(v => v+x)`).
Although this change includes tests that may be run in isolation to test
the various RPC interactions, we are nowhere near finished. The remaining
work primarily boils down to three things:
1) Wiring all of this up to the Lumi code.
2) Fixing the handful of known loose ends required to make this work,
primarily around the serialization of properties (waiting on
unresolved ones, serializing assets properly, etc).
3) Implementing lambda closure serialization as a native extension.
This ongoing work is part of pulumi/pulumi-fabric#311.
2017-08-26 21:07:54 +02:00
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RunRequest
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RunResponse
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2017-12-01 22:50:32 +01:00
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PluginInfo
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2017-08-31 23:31:33 +02:00
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ConfigureRequest
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Add a notion of stable properties
This change adds the capability for a resource provider to indicate
that, where an action carried out in response to a diff, a certain set
of properties would be "stable"; that is to say, they are guaranteed
not to change. As a result, properties may be resolved to their final
values during previewing, avoiding erroneous cascading impacts.
This avoids the ever-annoying situation I keep running into when demoing:
when adding or removing an ingress rule to a security group, we ripple
the impact through the instance, and claim it must be replaced, because
that instance depends on the security group via its name. Well, the name
is a great example of a stable property, in that it will never change, and
so this is truly unfortunate and always adds uncertainty into the demos.
Particularly since the actual update doesn't need to perform replacements.
This resolves pulumi/pulumi#330.
2017-10-04 14:22:21 +02:00
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InvokeRequest
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InvokeResponse
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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CheckRequest
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CheckResponse
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CheckFailure
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2017-08-01 03:26:15 +02:00
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DiffRequest
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DiffResponse
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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CreateRequest
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CreateResponse
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Initial support for output properties (1 of 3)
This change includes approximately 1/3rd of the change necessary
to support output properties, as per pulumi/lumi#90.
In short, the runtime now has a new hidden type, Latent<T>, which
represents a "speculative" value, whose eventual type will be T,
that we can use during evaluation in various ways. Namely,
operations against Latent<T>s generally produce new Latent<U>s.
During planning, any Latent<T>s that end up in resource properties
are transformed into "unknown" property values. An unknown property
value is legal only during planning-time activities, such as Check,
Name, and InspectChange. As a result, those RPC interfaces have
been updated to include lookaside maps indicating which properties
have unknown values. My intent is to add some helper functions to
make dealing with this circumstance more correct-by-construction.
For now, using an unresolved Latent<T> in a conditional will lead
to an error. See pulumi/lumi#67. Speculating beyond these -- by
supporting iterative planning and application -- is something we
want to support eventually, but it makes sense to do that as an
additive change beyond this initial support. That is a missing 1/3.
Finally, the other missing 1/3rd which will happen much sooner
than the rest is restructuing plan application so that it will
correctly observe resolution of Latent<T> values. Right now, the
evaluation happens in one single pass, prior to the application, and
so Latent<T>s never actually get witnessed in a resolved state.
2017-05-24 02:32:59 +02:00
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UpdateRequest
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2017-07-18 03:44:45 +02:00
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UpdateResponse
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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DeleteRequest
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2017-11-29 20:27:32 +01:00
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RegisterResourceRequest
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RegisterResourceResponse
|
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RegisterResourceOutputsRequest
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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*/
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2017-09-22 04:18:21 +02:00
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package pulumirpc
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Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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import proto "github.com/golang/protobuf/proto"
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import fmt "fmt"
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import math "math"
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2017-12-01 22:50:32 +01:00
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import google_protobuf "github.com/golang/protobuf/ptypes/empty"
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import google_protobuf1 "github.com/golang/protobuf/ptypes/struct"
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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import (
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context "golang.org/x/net/context"
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grpc "google.golang.org/grpc"
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)
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// Reference imports to suppress errors if they are not otherwise used.
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var _ = proto.Marshal
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var _ = fmt.Errorf
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var _ = math.Inf
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// This is a compile-time assertion to ensure that this generated file
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// is compatible with the proto package it is being compiled against.
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// A compilation error at this line likely means your copy of the
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// proto package needs to be updated.
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const _ = proto.ProtoPackageIsVersion2 // please upgrade the proto package
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type AnalyzeRequest struct {
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2017-12-01 22:50:32 +01:00
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Type string `protobuf:"bytes,1,opt,name=type" json:"type,omitempty"`
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Properties *google_protobuf1.Struct `protobuf:"bytes,2,opt,name=properties" json:"properties,omitempty"`
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
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}
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func (m *AnalyzeRequest) Reset() { *m = AnalyzeRequest{} }
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func (m *AnalyzeRequest) String() string { return proto.CompactTextString(m) }
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func (*AnalyzeRequest) ProtoMessage() {}
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func (*AnalyzeRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{0} }
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Make more progress on the new deployment model
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
2017-06-10 20:50:47 +02:00
|
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func (m *AnalyzeRequest) GetType() string {
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
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if m != nil {
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return m.Type
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}
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return ""
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}
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2017-12-01 22:50:32 +01:00
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func (m *AnalyzeRequest) GetProperties() *google_protobuf1.Struct {
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
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if m != nil {
|
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return m.Properties
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}
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return nil
|
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}
|
|
|
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|
Make more progress on the new deployment model
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
2017-06-10 20:50:47 +02:00
|
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type AnalyzeResponse struct {
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Failures []*AnalyzeFailure `protobuf:"bytes,1,rep,name=failures" json:"failures,omitempty"`
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
}
|
|
|
|
|
Make more progress on the new deployment model
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
2017-06-10 20:50:47 +02:00
|
|
|
func (m *AnalyzeResponse) Reset() { *m = AnalyzeResponse{} }
|
|
|
|
func (m *AnalyzeResponse) String() string { return proto.CompactTextString(m) }
|
|
|
|
func (*AnalyzeResponse) ProtoMessage() {}
|
|
|
|
func (*AnalyzeResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{1} }
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
|
Make more progress on the new deployment model
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
2017-06-10 20:50:47 +02:00
|
|
|
func (m *AnalyzeResponse) GetFailures() []*AnalyzeFailure {
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
if m != nil {
|
|
|
|
return m.Failures
|
|
|
|
}
|
|
|
|
return nil
|
|
|
|
}
|
|
|
|
|
Make more progress on the new deployment model
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
2017-06-10 20:50:47 +02:00
|
|
|
type AnalyzeFailure struct {
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
Property string `protobuf:"bytes,1,opt,name=property" json:"property,omitempty"`
|
|
|
|
Reason string `protobuf:"bytes,2,opt,name=reason" json:"reason,omitempty"`
|
|
|
|
}
|
|
|
|
|
Make more progress on the new deployment model
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
2017-06-10 20:50:47 +02:00
|
|
|
func (m *AnalyzeFailure) Reset() { *m = AnalyzeFailure{} }
|
|
|
|
func (m *AnalyzeFailure) String() string { return proto.CompactTextString(m) }
|
|
|
|
func (*AnalyzeFailure) ProtoMessage() {}
|
|
|
|
func (*AnalyzeFailure) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{2} }
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
|
Make more progress on the new deployment model
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
2017-06-10 20:50:47 +02:00
|
|
|
func (m *AnalyzeFailure) GetProperty() string {
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
if m != nil {
|
|
|
|
return m.Property
|
|
|
|
}
|
|
|
|
return ""
|
|
|
|
}
|
|
|
|
|
Make more progress on the new deployment model
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
2017-06-10 20:50:47 +02:00
|
|
|
func (m *AnalyzeFailure) GetReason() string {
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
if m != nil {
|
|
|
|
return m.Reason
|
|
|
|
}
|
|
|
|
return ""
|
|
|
|
}
|
|
|
|
|
|
|
|
func init() {
|
2017-09-22 04:18:21 +02:00
|
|
|
proto.RegisterType((*AnalyzeRequest)(nil), "pulumirpc.AnalyzeRequest")
|
|
|
|
proto.RegisterType((*AnalyzeResponse)(nil), "pulumirpc.AnalyzeResponse")
|
|
|
|
proto.RegisterType((*AnalyzeFailure)(nil), "pulumirpc.AnalyzeFailure")
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
}
|
|
|
|
|
|
|
|
// Reference imports to suppress errors if they are not otherwise used.
|
|
|
|
var _ context.Context
|
|
|
|
var _ grpc.ClientConn
|
|
|
|
|
|
|
|
// This is a compile-time assertion to ensure that this generated file
|
|
|
|
// is compatible with the grpc package it is being compiled against.
|
|
|
|
const _ = grpc.SupportPackageIsVersion4
|
|
|
|
|
2017-03-11 19:07:34 +01:00
|
|
|
// Client API for Analyzer service
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
|
2017-03-11 19:07:34 +01:00
|
|
|
type AnalyzerClient interface {
|
Make more progress on the new deployment model
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
2017-06-10 20:50:47 +02:00
|
|
|
// Analyze analyzes a single resource object, and returns any errors that it finds.
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
Analyze(ctx context.Context, in *AnalyzeRequest, opts ...grpc.CallOption) (*AnalyzeResponse, error)
|
2017-12-01 22:50:32 +01:00
|
|
|
// GetPluginInfo returns generic information about this plugin, like its version.
|
|
|
|
GetPluginInfo(ctx context.Context, in *google_protobuf.Empty, opts ...grpc.CallOption) (*PluginInfo, error)
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
}
|
|
|
|
|
2017-03-11 19:07:34 +01:00
|
|
|
type analyzerClient struct {
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
cc *grpc.ClientConn
|
|
|
|
}
|
|
|
|
|
2017-03-11 19:07:34 +01:00
|
|
|
func NewAnalyzerClient(cc *grpc.ClientConn) AnalyzerClient {
|
|
|
|
return &analyzerClient{cc}
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
}
|
|
|
|
|
2017-03-11 19:07:34 +01:00
|
|
|
func (c *analyzerClient) Analyze(ctx context.Context, in *AnalyzeRequest, opts ...grpc.CallOption) (*AnalyzeResponse, error) {
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
out := new(AnalyzeResponse)
|
2017-09-22 04:18:21 +02:00
|
|
|
err := grpc.Invoke(ctx, "/pulumirpc.Analyzer/Analyze", in, out, c.cc, opts...)
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
if err != nil {
|
|
|
|
return nil, err
|
|
|
|
}
|
|
|
|
return out, nil
|
|
|
|
}
|
|
|
|
|
2017-12-01 22:50:32 +01:00
|
|
|
func (c *analyzerClient) GetPluginInfo(ctx context.Context, in *google_protobuf.Empty, opts ...grpc.CallOption) (*PluginInfo, error) {
|
|
|
|
out := new(PluginInfo)
|
|
|
|
err := grpc.Invoke(ctx, "/pulumirpc.Analyzer/GetPluginInfo", in, out, c.cc, opts...)
|
|
|
|
if err != nil {
|
|
|
|
return nil, err
|
|
|
|
}
|
|
|
|
return out, nil
|
|
|
|
}
|
|
|
|
|
2017-03-11 19:07:34 +01:00
|
|
|
// Server API for Analyzer service
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
|
2017-03-11 19:07:34 +01:00
|
|
|
type AnalyzerServer interface {
|
Make more progress on the new deployment model
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
2017-06-10 20:50:47 +02:00
|
|
|
// Analyze analyzes a single resource object, and returns any errors that it finds.
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
Analyze(context.Context, *AnalyzeRequest) (*AnalyzeResponse, error)
|
2017-12-01 22:50:32 +01:00
|
|
|
// GetPluginInfo returns generic information about this plugin, like its version.
|
|
|
|
GetPluginInfo(context.Context, *google_protobuf.Empty) (*PluginInfo, error)
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
}
|
|
|
|
|
2017-03-11 19:07:34 +01:00
|
|
|
func RegisterAnalyzerServer(s *grpc.Server, srv AnalyzerServer) {
|
|
|
|
s.RegisterService(&_Analyzer_serviceDesc, srv)
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
}
|
|
|
|
|
2017-03-11 19:07:34 +01:00
|
|
|
func _Analyzer_Analyze_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
in := new(AnalyzeRequest)
|
|
|
|
if err := dec(in); err != nil {
|
|
|
|
return nil, err
|
|
|
|
}
|
|
|
|
if interceptor == nil {
|
2017-03-11 19:07:34 +01:00
|
|
|
return srv.(AnalyzerServer).Analyze(ctx, in)
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
}
|
|
|
|
info := &grpc.UnaryServerInfo{
|
|
|
|
Server: srv,
|
2017-09-22 04:18:21 +02:00
|
|
|
FullMethod: "/pulumirpc.Analyzer/Analyze",
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
}
|
|
|
|
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
|
2017-03-11 19:07:34 +01:00
|
|
|
return srv.(AnalyzerServer).Analyze(ctx, req.(*AnalyzeRequest))
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
}
|
|
|
|
return interceptor(ctx, in, info, handler)
|
|
|
|
}
|
|
|
|
|
2017-12-01 22:50:32 +01:00
|
|
|
func _Analyzer_GetPluginInfo_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
|
|
|
|
in := new(google_protobuf.Empty)
|
|
|
|
if err := dec(in); err != nil {
|
|
|
|
return nil, err
|
|
|
|
}
|
|
|
|
if interceptor == nil {
|
|
|
|
return srv.(AnalyzerServer).GetPluginInfo(ctx, in)
|
|
|
|
}
|
|
|
|
info := &grpc.UnaryServerInfo{
|
|
|
|
Server: srv,
|
|
|
|
FullMethod: "/pulumirpc.Analyzer/GetPluginInfo",
|
|
|
|
}
|
|
|
|
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
|
|
|
|
return srv.(AnalyzerServer).GetPluginInfo(ctx, req.(*google_protobuf.Empty))
|
|
|
|
}
|
|
|
|
return interceptor(ctx, in, info, handler)
|
|
|
|
}
|
|
|
|
|
2017-03-11 19:07:34 +01:00
|
|
|
var _Analyzer_serviceDesc = grpc.ServiceDesc{
|
2017-09-22 04:18:21 +02:00
|
|
|
ServiceName: "pulumirpc.Analyzer",
|
2017-03-11 19:07:34 +01:00
|
|
|
HandlerType: (*AnalyzerServer)(nil),
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
Methods: []grpc.MethodDesc{
|
|
|
|
{
|
|
|
|
MethodName: "Analyze",
|
2017-03-11 19:07:34 +01:00
|
|
|
Handler: _Analyzer_Analyze_Handler,
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
},
|
2017-12-01 22:50:32 +01:00
|
|
|
{
|
|
|
|
MethodName: "GetPluginInfo",
|
|
|
|
Handler: _Analyzer_GetPluginInfo_Handler,
|
|
|
|
},
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
},
|
|
|
|
Streams: []grpc.StreamDesc{},
|
|
|
|
Metadata: "analyzer.proto",
|
|
|
|
}
|
|
|
|
|
|
|
|
func init() { proto.RegisterFile("analyzer.proto", fileDescriptor0) }
|
|
|
|
|
|
|
|
var fileDescriptor0 = []byte{
|
2017-12-01 22:50:32 +01:00
|
|
|
// 287 bytes of a gzipped FileDescriptorProto
|
2017-12-10 17:37:22 +01:00
|
|
|
0x1f, 0x8b, 0x08, 0x00, 0x00, 0x09, 0x6e, 0x88, 0x02, 0xff, 0x6c, 0x91, 0x4f, 0x4b, 0xc3, 0x40,
|
2017-12-01 22:50:32 +01:00
|
|
|
0x10, 0xc5, 0x1b, 0x95, 0xda, 0x4e, 0xb5, 0xc2, 0x80, 0xb5, 0xae, 0x1e, 0x42, 0x4e, 0x39, 0x6d,
|
|
|
|
0x21, 0x22, 0x5e, 0x55, 0xfc, 0x7b, 0x93, 0x78, 0xf6, 0x90, 0x96, 0x49, 0x08, 0xa4, 0xd9, 0x75,
|
|
|
|
0xff, 0x1c, 0xe2, 0xa7, 0xf0, 0x23, 0x8b, 0xbb, 0x6b, 0x2c, 0xda, 0xdb, 0x0c, 0xef, 0xf1, 0x9b,
|
|
|
|
0x37, 0x33, 0x30, 0x2d, 0xda, 0xa2, 0xe9, 0x3e, 0x48, 0x71, 0xa9, 0x84, 0x11, 0x38, 0x96, 0xb6,
|
|
|
|
0xb1, 0xeb, 0x5a, 0xc9, 0x15, 0x3b, 0x90, 0x8d, 0xad, 0xea, 0xd6, 0x0b, 0xec, 0xac, 0x12, 0xa2,
|
|
|
|
0x6a, 0x68, 0xe1, 0xba, 0xa5, 0x2d, 0x17, 0xb4, 0x96, 0xa6, 0x0b, 0xe2, 0xf9, 0x5f, 0x51, 0x1b,
|
|
|
|
0x65, 0x57, 0xc6, 0xab, 0xc9, 0x1b, 0x4c, 0x6f, 0xfc, 0x94, 0x9c, 0xde, 0x2d, 0x69, 0x83, 0x08,
|
|
|
|
0x7b, 0xa6, 0x93, 0x34, 0x8f, 0xe2, 0x28, 0x1d, 0xe7, 0xae, 0xc6, 0x2b, 0x00, 0xa9, 0x84, 0x24,
|
|
|
|
0x65, 0x6a, 0xd2, 0xf3, 0x9d, 0x38, 0x4a, 0x27, 0xd9, 0x09, 0xf7, 0x60, 0xfe, 0x03, 0xe6, 0xaf,
|
|
|
|
0x0e, 0x9c, 0x6f, 0x58, 0x93, 0x27, 0x38, 0xea, 0xf1, 0x5a, 0x8a, 0x56, 0x13, 0x5e, 0xc2, 0xa8,
|
|
|
|
0x2c, 0xea, 0xc6, 0x2a, 0xd2, 0xf3, 0x28, 0xde, 0x4d, 0x27, 0xd9, 0x29, 0xef, 0x17, 0xe3, 0xc1,
|
|
|
|
0xfd, 0xe0, 0x1d, 0x79, 0x6f, 0x4d, 0xee, 0xfa, 0xa0, 0x41, 0x43, 0x06, 0xa3, 0x30, 0xa9, 0x0b,
|
|
|
|
0x61, 0xfb, 0x1e, 0x67, 0x30, 0x54, 0x54, 0x68, 0xd1, 0xba, 0xb0, 0xe3, 0x3c, 0x74, 0xd9, 0x67,
|
|
|
|
0x04, 0xa3, 0x80, 0x51, 0x78, 0x0b, 0xfb, 0xa1, 0xc6, 0x2d, 0x11, 0xc2, 0x3d, 0x18, 0xdb, 0x26,
|
|
|
|
0xf9, 0x5d, 0x92, 0x01, 0x5e, 0xc3, 0xe1, 0x23, 0x99, 0x17, 0xf7, 0x8d, 0xe7, 0xb6, 0x14, 0x38,
|
|
|
|
0xfb, 0x77, 0x96, 0xfb, 0xef, 0x67, 0xb0, 0xe3, 0x0d, 0xcc, 0xaf, 0x3d, 0x19, 0x2c, 0x87, 0xce,
|
|
|
|
0x78, 0xf1, 0x15, 0x00, 0x00, 0xff, 0xff, 0xff, 0x6d, 0x9c, 0x46, 0xee, 0x01, 0x00, 0x00,
|
Add basic analyzer support
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
2017-03-11 08:49:17 +01:00
|
|
|
}
|