Merge branch 'master' of github.com:backstage/backstage into mob/scaffolder-frontend

* 'master' of github.com:backstage/backstage: (118 commits)
  cli: Fix handling of dynamic imports in esm.js files
  minor typo in migration
  chore(deps): bump archiver from 5.1.0 to 5.2.0
  dockerfile: mention build-image command
  Apply suggestions from code review
  update backend Dockerfile to use config example and fix comment
  docs: add full docker deployment docs
  chore: fix code review
  chore: fixing syntax
  docs: fixing custom implementations of utitiy apis
  a small start to the integrations section of the config
  TechDocs: Add changeset about Docker permission fix
  Updated unit tests for the new UI
  TechDocs: Pass user and group ID when invoking docker container
  Replace logging erro and return undefined for a throw new Error
  @types/react 16 not 17
  Use a more strict type for `variant` of cards
  docs(TechDocs): Add more context with AWS docs hyperlinks
  Added missing dep on @types/react
  Removed unused import
  ...
This commit is contained in:
blam
2021-02-18 11:41:34 +01:00
156 changed files with 6442 additions and 1344 deletions
+19 -1
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@@ -181,7 +181,25 @@ The `IgnoringErrorApi` would then be imported in the app, and wired up like
this:
```ts
builder.add(errorApiRef, new IgnoringErrorApi());
const app = createApp({
apis: [
/* ApiFactories */
createApiFactory(errorApiRef, new IgnoringErrorApi()),
// OR
// If your API has dependencies, you use the object form
createApiFactory({
api: errorApiRef,
deps: { configApi: configApiRef },
factory({ configApi }) {
return new IgnoringErrorApi({
reportingUrl: configApi.getString('error.reportingUrl'),
});
},
}),
],
// ... other options
});
```
Note that the above line will cause an error if `IgnoreErrorApi` does not fully
+3 -3
View File
@@ -206,15 +206,15 @@ The following is an example of a `Dockerfile` that can be used to package the
output of `backstage-cli backend:bundle` into an image:
```Dockerfile
FROM node:14-buster
FROM node:14-buster-slim
WORKDIR /app
ADD yarn.lock package.json packages/backend/dist/skeleton.tar.gz ./
RUN yarn install --production --network-timeout 600000 && rm -rf "$(yarn cache dir)"
RUN yarn install --frozen-lockfile --production --network-timeout 300000 && rm -rf "$(yarn cache dir)"
ADD packages/backend/dist/bundle.tar.gz app-config.yaml ./
CMD node packages/backend
CMD ["node", "packages/backend"]
```
```text
+14 -12
View File
@@ -142,6 +142,8 @@ variables**
You should follow the
[AWS security best practices guide for authentication](https://docs.aws.amazon.com/general/latest/gr/aws-access-keys-best-practices.html).
TechDocs needs access to read files and metadata of the S3 bucket.
If the environment variables
- `AWS_ACCESS_KEY_ID`
@@ -149,15 +151,21 @@ If the environment variables
- `AWS_REGION`
are set and can be used to access the bucket you created in step 2, they will be
used by the AWS SDK v3 Node.js client for authentication.
[Refer to the official documentation.](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/loading-node-credentials-environment.html)
used by the AWS SDK V2 Node.js client for authentication.
[Refer to the official documentation for loading credentials in Node.js from environment variables](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/loading-node-credentials-environment.html).
If the environment variables are missing, the AWS SDK tries to read the
`~/.aws/credentials` file for credentials.
[Refer to the official documentation.](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/loading-node-credentials-shared.html)
[Refer to the official documentation.](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/loading-node-credentials-shared.html)
Note that the region of the bucket has to be set for the AWS SDK to work.
[See this](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/setting-region.html).
If you are using Amazon EC2 instance to deploy Backstage, you do not need to
obtain the access keys separately. They can be made available in the environment
automatically by defining appropriate IAM role with access to the bucket. Read
more in
[official AWS documentation for using IAM roles.](https://docs.aws.amazon.com/general/latest/gr/aws-access-keys-best-practices.html#use-roles).
The AWS Region of the bucket is optional since TechDocs uses AWS SDK V2 and not
V3.
**3b. Authentication using app-config.yaml**
@@ -181,13 +189,7 @@ techdocs:
```
Refer to the
[official AWS documentation for obtaining the credentials](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/getting-your-credentials.html).
Note: If you are using Amazon EC2 instance to deploy Backstage, you do not need
to obtain the access keys separately. They can be made available in the
environment automatically by defining appropriate IAM role with access to the
bucket. Read more
[here](https://docs.aws.amazon.com/general/latest/gr/aws-access-keys-best-practices.html#use-roles).
[official AWS documentation for obtaining the credentials](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/getting-your-credentials.html).
**4. That's it!**
@@ -1,6 +1,6 @@
---
id: development-environment
title: Development Environment
id: contributors
title: Contributors
# prettier-ignore
description: Documentation on how to get set up for doing development on the Backstage repository
---
@@ -10,6 +10,21 @@ repository.
## Cloning the Repository
Ok. So you're gonna want some code right? Go ahead and fork the repository into
your own GitHub account and clone that code to your local machine or you can
grab the one for the origin like so:
```bash
git clone git@github.com/backstage/backstage --depth 1
```
If you cloned a fork, you can add the upstream dependency like so:
```bash
git remote add upstream git@github.com:backstage/backstage
git pull upstream master
```
After you have cloned the Backstage repository, you should run the following
commands once to set things up for development:
@@ -25,9 +40,11 @@ Open a terminal window and start the web app by using the following command from
the project root. Make sure you have run the above mentioned commands first.
```bash
$ yarn start
$ yarn dev
```
This is going to start two things, the frontend (:3000) and the backend (:7000).
This should open a local instance of Backstage in your browser, otherwise open
one of the URLs printed in the terminal.
@@ -38,12 +55,27 @@ setting an environment variable `PORT` on your local machine. e.g.
Once successfully started, you should see the following message in your terminal
window:
```sh
$ concurrently "yarn start" "yarn start-backend"
$ yarn workspace example-app start
$ yarn workspace example-backend start
$ backstage-cli app:serve
$ backstage-cli backend:dev
[0] Loaded config from app-config.yaml
[1] Build succeeded
[0] 「wds」: Project is running at http://localhost:3000/
[0] 「wds」: webpack output is served from /
[0] 「wds」: Content not from webpack is served from $BACKSTAGE_DIR/packages/app/public
[0] 「wds」: 404s will fallback to /index.html
[0] 「wdm」: wait until bundle finished: /
[1] 2021-02-12T20:58:17.614Z backstage info Loaded config from app-config.yaml
```
You can now view example-app in the browser.
Local: http://localhost:8080
On Your Network: http://192.168.1.224:8080
```
You'll see how you get both logs for the frontend `webpack-dev-server` which
serves the react app ([0]) and the backend ([1]);
Visit http://localhost:3000 and you should see the bleeding edge of Backstage
ready for contributions!
## Editor
+2 -16
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@@ -177,20 +177,6 @@ the root directory:
yarn workspace backend start
```
Now you're free to hack away on your own Backstage installation!
### Troubleshooting
#### Cannot find module
You may encounter an error similar to below:
```
internal/modules/cjs/loader.js:968
throw err;
^
Error: Cannot find module '../build/Debug/nodegit.node'
```
This can occur if an npm dependency is not completely installed. Because some
dependencies run a post-install script, ensure that both your npm and yarn
configs have the `ignore-scripts` flag set to `false`.
+238
View File
@@ -0,0 +1,238 @@
---
id: deployment-docker
title: Docker
description: Documentation on how to deploy Backstage as a Docker image
---
This section describes how to build a Backstage App into a deployable Docker
image. It is split into three sections, first covering the host build approach,
which is recommended due its speed and more efficient and often simpler caching.
The second section covers a full multi-stage Docker build, and the last section
covers how to split frontend content into a separate image.
Something that goes for all of these docker deployment strategies is that they
are stateless, so for a production deployment you will want to set up and
connect to an external PostgreSQL instance where the backend plugins can store
their state, rather than using SQLite.
### Host Build
This section describes how to build a Docker image from a Backstage repo with
most of the build happening outside of Docker. This is almost always the faster
approach, as the build steps tend to execute faster, and it's possible to have
more efficient caching of dependencies on the host, where a single change won't
bust the entire cache.
The required steps in the host build are to install dependencies with
`yarn install`, generate type definitions using `yarn tsc`, and build all
packages with `yarn build`.
> NOTE: Using `yarn build` to build packages and bundle the backend assumes that
> you have migrated to using `backstage-cli backend:bundle` as your build script
> in the backend package.
In a CI workflow it might look something like this:
```bash
yarn install --frozen-lockfile
# tsc outputs type definitions to dist-types/ in the repo root, which are then consumed by the build
yarn tsc
# Build all packages and in the end bundle them all up into the packages/backend/dist folder.
yarn build
```
Once the host build is complete, we are ready to build our image. We use the
following `Dockerfile`, which is also included when creating a new app with
`@backstage/create-app`:
```Dockerfile
# This dockerfile builds an image for the backend package.
# It should be executed with the root of the repo as docker context.
#
# Before building this image, be sure to have run the following commands in the repo root:
#
# yarn install
# yarn tsc
# yarn build
#
# Once the commands have been run, you can build the image using `yarn build-image`
FROM node:14-buster-slim
WORKDIR /app
# Copy repo skeleton first, to avoid unnecessary docker cache invalidation.
# The skeleton contains the package.json of each package in the monorepo,
# and along with yarn.lock and the root package.json, that's enough to run yarn install.
ADD yarn.lock package.json packages/backend/dist/skeleton.tar.gz ./
RUN yarn install --frozen-lockfile --production --network-timeout 300000 && rm -rf "$(yarn cache dir)"
# Then copy the rest of the backend bundle, along with any other files we might want.
ADD packages/backend/dist/bundle.tar.gz app-config.yaml ./
CMD ["node", "packages/backend", "--config", "app-config.yaml"]
```
For more details on how the `backend:bundle` command and the `skeleton.tar.gz`
file works, see the
[`backend:bundle` command docs](../cli/commands.md#backendbundle)
The `Dockerfile` is typically placed at `packages/backend/Dockerfile`, but needs
to be executed with the root of the repo as the build context, in order to get
access to the root `yarn.lock` and `package.json`, along with any other files
that might be needed, such as `.npmrc`.
In order to speed up the build we can significantly reduce the build context
size using the following `.dockerignore` in the root of the repo:
```text
.git
node_modules
packages
!packages/backend/dist
plugins
```
With the project build and the `.dockerignore` and `Dockerfile` in place, we are
now ready to build the final image. Assuming we're at the root of the repo, we
execute the build like this:
```bash
docker image build . -f packages/backend/Dockerfile --tag backstage
```
To try out the image locally you can run the following:
```sh
docker run -it -p 7000:7000 backstage
```
You should then start to get logs in your terminal, and then you can open your
browser at `http://localhost:7000`
### Multistage Build
This section describes how to set up a multi-stage Docker build that builds the
entire project within Docker. This is typically slower than a host build, but is
sometimes desired because Docker in Docker is not available in the build
environment, or due to other requirements.
The build is split into three different stages, where the first stage finds all
of the `package.json`s that are relevant for the initial install step enabling
us to cache the initial `yarn install` that installs all dependencies. The
second stage executes the build itself, and is similar to the steps we execute
on the host in the host build. The third and final stage then packages it all
together into the final image, and is similar to the `Dockerfile` of the host
build.
The following `Dockerfile` executes the multi-stage build and should be added to
the repo root:
```Dockerfile
# Stage 1 - Create yarn install skeleton layer
FROM node:14-buster-slim AS packages
WORKDIR /app
COPY package.json yarn.lock ./
COPY packages packages
COPY plugins plugins
RUN find packages \! -name "package.json" -mindepth 2 -maxdepth 2 -print | xargs rm -rf
# Stage 2 - Install dependencies and build packages
FROM node:14-buster-slim AS build
WORKDIR /app
COPY --from=packages /app .
RUN yarn install --frozen-lockfile --network-timeout 600000 && rm -rf "$(yarn cache dir)"
COPY . .
RUN yarn tsc
RUN yarn --cwd packages/backend backstage-cli backend:bundle --build-dependencies
# Stage 3 - Build the actual backend image and install production dependencies
FROM node:14-buster-slim
WORKDIR /app
# Copy the install dependencies from the build stage and context
COPY --from=build /app/yarn.lock /app/package.json /app/packages/backend/dist/skeleton.tar.gz ./
RUN tar xzf skeleton.tar.gz && rm skeleton.tar.gz
RUN yarn install --frozen-lockfile --production --network-timeout 600000 && rm -rf "$(yarn cache dir)"
# Copy the built packages from the build stage
COPY --from=build /app/packages/backend/dist/bundle.tar.gz .
RUN tar xzf bundle.tar.gz && rm bundle.tar.gz
# Copy any other files that we need at runtime
COPY app-config.yaml ./
CMD ["node", "packages/backend", "--config", "app-config.yaml"]
```
Note that a newly created Backstage app will typically not have a `plugins/`
folder, so you will want to comment that line out. This build also does not work
in the main repo, since the `backstage-cli` which is used for the build doesn't
end up being properly installed.
To speed up the build when not running in a fresh clone of the repo you should
set up a `.dockerignore`. This one is different than the host build one, because
we want to have access to the source code of all packages for the build, but can
ignore any existing build output or dependencies:
```text
node_modules
packages/*/dist
packages/*/node_modules
plugins/*/dist
plugins/*/node_modules
```
Once you have added both the `Dockerfile` and `.dockerignore` to the root of
your project, run the following to build the container under a specified tag.
```sh
docker image build -t backstage .
```
To try out the image locally you can run the following:
```sh
docker run -it -p 7000:7000 backstage
```
You should then start to get logs in your terminal, and then you can open your
browser at `http://localhost:7000`
### Separate Frontend
It is sometimes desirable to serve the frontend separately from the backend,
either from a separate image or for example a static file serving provider. The
first step in doing so is to remove the `app-backend` plugin from the backend
package, which is done as follows:
1. Delete `packages/backend/src/plugins/app.ts`
2. Remove the following lines from `packages/backend/src/index.ts`:
```tsx
import app from './plugins/app';
// ...
const appEnv = useHotMemoize(module, () => createEnv('app'));
// ...
.addRouter('', await app(appEnv));
```
3. Remove the `@backstage/plugin-app-backend` and the app package dependency
(e.g. `app`) from `packages/backend/packages.json`. If you don't remove the
app package dependency the app will still be built and bundled with the
backend.
Once the `app-backend` is removed from the backend, you can use your favorite
static file serving method for serving the frontend. An example of how to set up
an NGINX image is available in the
[contrib folder in the main repo](https://github.com/backstage/backstage/blob/master/contrib/docker/frontend-with-nginx/Dockerfile)
-92
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@@ -4,98 +4,6 @@ title: Other
description: Documentation on different ways of Deployment
---
## Docker
Here we have an example Dockerfile that you can use to build everything together
in one container. This Dockerfile uses multi-stage builds, and a
`backend:bundle` command from the CLI.
It also provides caching on the `yarn install`'s so that you don't have to do it
unless absolutely necessary.
> Note: This Dockerfile assumes that you're running SQLite, or your
> configuration is setup to connect to an external PostgreSQL Database.
```Dockerfile
# Stage 1 - Create yarn install skeleton layer
FROM node:14-buster AS packages
WORKDIR /app
COPY package.json yarn.lock ./
COPY packages packages
# Uncomment this line if you have a local plugins folder
# COPY plugins plugins
RUN find packages \! -name "package.json" -mindepth 2 -maxdepth 2 -print | xargs rm -rf
# Stage 2 - Install dependencies and build packages
FROM node:14-buster AS build
WORKDIR /app
COPY --from=packages /app .
RUN yarn install --network-timeout 600000 && rm -rf "$(yarn cache dir)"
COPY . .
RUN yarn tsc
RUN yarn --cwd packages/backend backstage-cli backend:bundle --build-dependencies
# Stage 3 - Build the actual backend image and install production dependencies
FROM node:14-buster
WORKDIR /app
# Copy from build stage
COPY --from=build /app/yarn.lock /app/package.json /app/packages/backend/dist/skeleton.tar.gz ./
RUN tar xzf skeleton.tar.gz && rm skeleton.tar.gz
RUN yarn install --production --network-timeout 600000 && rm -rf "$(yarn cache dir)"
COPY --from=build /app/packages/backend/dist/bundle.tar.gz .
RUN tar xzf bundle.tar.gz && rm bundle.tar.gz
COPY app-config.yaml app-config.production.yaml ./
CMD ["node", "packages/backend", "--config", "app-config.yaml", "--config", "app-config.production.yaml"]
```
Before building you should also include a `.dockerignore`. This will greatly
improve the context boot up time of Docker as we are no longer sending all of
the `node_modules` into the context. It also helps us avoid some limitations and
errors that may occur when trying to share the `node_modules` folder to inside
the build.
You can add the following contents to the root of your repository at
`.dockerignore` and it might look something like the following:
```dockerignore
.git
node_modules
packages/*/node_modules
plugins/*/node_modules
plugins/*/dist
```
Once you have added both the `Dockerfile` and `.dockerignore` to the root of
your project, and run the following to build the container under a specified
tag.
```sh
$ docker build -t example-deployment .
```
To run the image locally you can run:
```sh
$ docker run -it -p 7000:7000 example-deployment
```
You should then start to get logs in your terminal, and then you can open your
browser at `http://localhost:7000`
## Heroku
Deploying to Heroku is relatively easy following these steps.
+1 -6
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@@ -19,7 +19,7 @@ general, it's easier to fork and clone this project. That will let you stay up
to date with the latest changes, and gives you an easier path to make Pull
Requests towards this repo.
### Creating a Standalone App
### Create your Backstage App
Backstage provides the `@backstage/create-app` package to scaffold standalone
instances of Backstage. You will need to have
@@ -46,8 +46,3 @@ look something like this. You can read more about this process in
You can read more in our
[CONTRIBUTING](https://github.com/backstage/backstage/blob/master/CONTRIBUTING.md)
guide, which can help you get setup with a Backstage development environment.
### Next steps
Take a look at the [Running Backstage Locally](./running-backstage-locally.md)
guide to learn how to set up Backstage, and how to develop on the platform.
@@ -104,7 +104,6 @@ The value of Backstage grows with every new plugin that gets added. Here is a
collection of tutorials that will guide you through setting up and extending an
instance of Backstage with your own plugins.
- [Development Environment](development-environment.md)
- [Create a Backstage Plugin](../plugins/create-a-plugin.md)
- [Structure of a Plugin](../plugins/structure-of-a-plugin.md)
- [Utility APIs](../api/utility-apis.md)
+71
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@@ -0,0 +1,71 @@
---
id: org
title: GitHub Organizational Data
sidebar_label: Org Data
# prettier-ignore
description: Setting up ingestion of organizational data from GitHub
---
The Backstage catalog can be set up to ingest organizational data - teams and
users - directly from an organization in GitHub or GitHub Enterprise. The result
is a hierarchy of
[`User`](../../features/software-catalog/descriptor-format.md#kind-user) and
[`Group`](../../features/software-catalog/descriptor-format.md#kind-group) kind
entities that mirror your org setup.
## Installation
The processor that performs the import, `GithubOrgReaderProcessor`, comes
installed with the default setup of Backstage.
If you replace the set of processors in your installation using that facility of
the catalog builder class, you can import and add it as follows.
```ts
// Typically in packages/backend/src/plugins/catalog.ts
import { GithubOrgReaderProcessor } from '@backstage/plugin-catalog-backend';
builder.replaceProcessors(
GithubOrgReaderProcessor.fromConfig(config, { logger }),
// ...
);
```
## Configuration
The following configuration enables an import of the teams and users under the
org `https://github.com/my-org-name` on public GitHub.
```yaml
catalog:
locations:
- type: github-org
target: https://github.com/my-org-name
processors:
githubOrg:
providers:
- target: https://github.com
apiBaseUrl: https://api.github.com
token:
$env: GITHUB_TOKEN
```
Locations point out the specific org(s) you want to import. The `type` of these
locations must be `github-org`, and the `target` must point to the exact URL of
some organization. You can have several such location entries if you want, but
typically you will have just one.
The processor itself is configured in the other block, under
`catalog.processors.githubOrg`. There may be many providers, each targeting a
specific `target` which is supposed to be the address of the home page of GitHub
or your GitHub Enterprise installation.
The example above assumes that the backend is started with an environment
variable called `GITHUB_TOKEN` that contains a Personal Access Token. The token
needs to have at least the scopes `read:org`, `read:user`, and `user:email` in
the given `target`.
If you want to address your own GitHub Enterprise instance, replace occurrences
of `https://github.com` in the configuration above with the address of your
GitHub Enterprise home page, and the `apiBaseUrl` to where your API endpoint
lives - commonly on the form `https://<host>/api/v3`.
+280
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@@ -0,0 +1,280 @@
---
id: org
title: LDAP Organizational Data
sidebar_label: Org Data
# prettier-ignore
description: Setting up ingestion of organizational data from LDAP
---
The Backstage catalog can be set up to ingest organizational data - groups and
users - directly from an LDAP compatible service. The result is a hierarchy of
[`User`](../../features/software-catalog/descriptor-format.md#kind-user) and
[`Group`](../../features/software-catalog/descriptor-format.md#kind-group) kind
entities that mirror your org setup.
## Installation
The processor that performs the import, `LdapOrgReaderProcessor`, comes
installed with the default setup of Backstage.
If you replace the set of processors in your installation using that facility of
the catalog builder class, you can import and add it as follows.
```ts
// Typically in packages/backend/src/plugins/catalog.ts
import { LdapOrgReaderProcessor } from '@backstage/plugin-catalog-backend';
builder.replaceProcessors(
LdapOrgReaderProcessor.fromConfig(config, { logger }),
// ...
);
```
## Configuration
The following configuration is a small example of how a setup could look for
importing groups and users from a corporate LDAP server.
```yaml
catalog:
locations:
- type: ldap-org
target: ldaps://ds.example.net
processors:
ldapOrg:
providers:
- target: ldaps://ds.example.net
bind:
dn: uid=ldap-reader-user,ou=people,ou=example,dc=example,dc=net
secret:
$env: LDAP_SECRET
users:
dn: ou=people,ou=example,dc=example,dc=net
options:
filter: (uid=*)
map:
description: l
set:
metadata.customField: 'hello'
groups:
dn: ou=access,ou=groups,ou=example,dc=example,dc=net
options:
filter: (&(objectClass=some-group-class)(!(groupType=email)))
map:
description: l
set:
metadata.customField: 'hello'
```
Locations point out the specific org(s) you want to import. The `type` of these
locations must be `ldap-org`, and the `target` must point to the exact URL
(starting with `ldap://` or `ldaps://`) of the targeted LDAP server. You can
have several such location entries if you want, but typically you will have just
one.
The processor itself is configured in the other block, under
`catalog.processors.ldapOrg`. There may be many providers, each targeting a
specific `target` which is supposed to be on the same form as the location
`target`.
These config blocks have a lot of options in them, so we will describe each
"root" key within the block separately.
### target
This is the URL of the targeted server, typically on the form
`ldaps://ds.example.net` for SSL enabled servers or `ldap://ds.example.net`
without SSL.
### bind
The bind block specifies how the plugin should bind (essentially, to
authenticate) towards the server. It has the following fields.
```yaml
dn: uid=ldap-reader-user,ou=people,ou=example,dc=example,dc=net
secret:
$env: LDAP_SECRET
```
The `dn` is the full LDAP DN (distinguished name) for the user that the plugin
authenticates itself as. At this point, only regular user based authentication
is supported.
The `secret` is the password of the same user. In this example, it is given in
the form of an environment variable `LDAP_SECRET`, that has to be set when the
backend starts.
### users
The `users` block defines the settings that govern the reading and
interpretation of users. Its fields are explained in separate sections below.
### users.dn
The DN under which users are stored, e.g.
`ou=people,ou=example,dc=example,dc=net`.
### users.options
The search options to use when sending the query to the server, when reading all
users. All of the options are shown below, with their default values, but they
are all optional.
```yaml
options:
# One of 'base', 'one', or 'sub'.
scope: one
# The filter is the one that you commonly will want to specify explicitly. It
# is a string on the standard LDAP query format. Use it to select out the set
# of users that are of actual interest to ingest. For example, you may want
# to filter out disabled users.
filter: (uid=*)
# The attribute selectors for each item, as passed to the LDAP server.
attributes: ['*', '+']
# This field is either 'false' to disable paging when reading from the
# server, or an object on the form '{ pageSize: 100, pagePause: true }' that
# specifies the details of how the paging shall work.
paged: false
```
### users.set
This optional piece lets you specify a number of JSON paths (on a.b.c form) and
hard coded values to set on those paths. This can be useful for example if you
want to hard code a namespace or similar on the generated entities.
```yaml
set:
# Just an example; the key and value can be anything
metadata.namespace: 'ldap'
```
### users.map
Mappings from well known entity fields, to LDAP attribute names. This is where
you are able to define how to interpret the attributes of each LDAP result item,
and to move them into the corresponding entity fields. All of the options are
shown below, with their default values, but they are all optional.
If you leave out an optional mapping, it will still be copied using that default
value. For example, even if you do not put in the field `displayName` in your
config, the processor will still copy the attribute `cn` into the entity field
`spec.profile.displayName`.
```yaml
map:
# The name of the attribute that holds the relative
# distinguished name of each entry.
rdn: uid
# The name of the attribute that shall be used for the value of
# the metadata.name field of the entity.
name: uid
# The name of the attribute that shall be used for the value of
# the metadata.description field of the entity.
description: description
# The name of the attribute that shall be used for the value of
# the spec.profile.displayName field of the entity.
displayName: cn
# The name of the attribute that shall be used for the value of
# the spec.profile.email field of the entity.
email: mail
# The name of the attribute that shall be used for the value of
# the spec.profile.picture field of the entity.
picture: <nothing, left out>
# The name of the attribute that shall be used for the values of
# the spec.memberOf field of the entity.
memberOf: memberOf
```
### groups
The `groups` block defines the settings that govern the reading and
interpretation of groups. Its fields are explained in separate sections below.
### groups.dn
The DN under which groups are stored, e.g.
`ou=people,ou=example,dc=example,dc=net`.
### groups.options
The search options to use when sending the query to the server, when reading all
groups. All of the options are shown below, with their default values, but they
are all optional.
```yaml
options:
# One of 'base', 'one', or 'sub'.
scope: one
# The filter is the one that you commonly will want to specify explicitly. It
# is a string on the standard LDAP query format. Use it to select out the set
# of groups that are of actual interest to ingest. For example, you may want
# to filter out disabled groups.
filter: (&(objectClass=some-group-class)(!(groupType=email)))
# The attribute selectors for each item, as passed to the LDAP server.
attributes: ['*', '+']
# This field is either 'false' to disable paging when reading from the
# server, or an object on the form '{ pageSize: 100, pagePause: true }' that
# specifies the details of how the paging shall work.
paged: false
```
### groups.set
This optional piece lets you specify a number of JSON paths (on a.b.c form) and
hard coded values to set on those paths. This can be useful for example if you
want to hard code a namespace or similar on the generated entities.
```yaml
set:
# Just an example; the key and value can be anything
metadata.namespace: 'ldap'
```
### groups.map
Mappings from well known entity fields, to LDAP attribute names. This is where
you are able to define how to interpret the attributes of each LDAP result item,
and to move them into the corresponding entity fields. All of the options are
shown below, with their default values, but they are all optional.
If you leave out an optional mapping, it will still be copied using that default
value. For example, even if you do not put in the field `displayName` in your
config, the processor will still copy the attribute `cn` into the entity field
`spec.profile.displayName`. If the target field is optional, such as the display
name, the importer will accept missing attributes and just leave the target
field unset. If the target field is mandatory, such as the name of the entity,
validation will fail if the source attribute is missing.
```yaml
map:
# The name of the attribute that holds the relative
# distinguished name of each entry. This value is copied into a
# well known annotation to be able to query by it later.
rdn: cn
# The name of the attribute that shall be used for the value of
# the metadata.name field of the entity.
name: cn
# The name of the attribute that shall be used for the value of
# the metadata.description field of the entity.
description: description
# The name of the attribute that shall be used for the value of
# the spec.type field of the entity.
type: groupType
# The name of the attribute that shall be used for the value of
# the spec.profile.displayName field of the entity.
displayName: cn
# The name of the attribute that shall be used for the value of
# the spec.profile.email field of the entity.
email: <nothing, left out>
# The name of the attribute that shall be used for the value of
# the spec.profile.picture field of the entity.
picture: <nothing, left out>
# The name of the attribute that shall be used for the values of
# the spec.parent field of the entity.
memberOf: memberOf
# The name of the attribute that shall be used for the values of
# the spec.children field of the entity.
members: member
```
+11 -11
View File
@@ -27,17 +27,17 @@ to grant the app more permissions if needed.
### Using the CLI (public GitHub only)
You can use the `backstage-cli` to create GitHub App' using a manifest file that
we provide. This gives us a way to automate some of the work required to create
a GitHub app.
You can use the `backstage-cli` to create a GitHub App using a manifest file
that we provide. This gives us a way to automate some of the work required to
create a GitHub app.
You can read more about the `backstage-cli create-github-app` method
[here](../cli/commands.md#create-github-app)
You can read more about the
[`backstage-cli create-github-app` method](../cli/commands.md#create-github-app).
Once you've gone through the CLI command, it should produce a `yaml` file in the
Once you've gone through the CLI command, it should produce a YAML file in the
root of the project which you can then use as an `include` in your
`app-config.yaml`. You can go ahead and skip to
[here](#including-in-integrations-config) if you've got to this part.
`app-config.yaml`. You can go ahead and
[skip ahead](#including-in-integrations-config) if you've already got an app.
### GitHub Enterprise
@@ -46,9 +46,9 @@ You have to create the GitHub Application manually using these
as GitHub Enterprise does not support creation of apps from manifests.
Once the application is created you have to generate a private key for the
application it in a `yaml` file.
application and place it in a YAML file.
The yaml file must include the following information. Please note that the
The YAML file must include the following information. Please note that the
indentation for the `privateKey` is required.
```yaml
@@ -64,7 +64,7 @@ privateKey: |
### Including in Integrations Config
Once the credentials are stored in a yaml file generated by `create-github-app`
Once the credentials are stored in a YAML file generated by `create-github-app`,
or manually by following the [GitHub Enterprise](#gitHub-enterprise)
instructions, they can be included in the `app-config.yaml` under the
`integrations` section.