The mParticle Command Line Interface (CLI) can be used to communicate with various mParticle services and functions through simple terminal commands.
Through the CLI, an engineer can directly interface with many of mParticle’s services without needing to make requests directly, (such as commands via cUrl or Postman). Also, many of these requests can be integrated in any Continuous Integration/Continuous Deployment (CI/CD) systems.
The CLI installs as a simple npm package. Simply install globally and then type mp
once installed.
$ npm install -g @mparticle/cli
$ mp [COMMAND]
running command...
$ mp (-v|--version|version)
@mparticle/cli/1.X.X darwin-x64 node-v10.XX.X
$ mp --help [COMMAND]
USAGE
$ mp COMMAND
To verify your installation and version, use the mp --version
$ mp --version
@mparticle/cli/1.X.X darwin-x64 node-v10.XX.X
Simply use mp help
to view a list of the available commands.
$ mp help
mParticle Command Line Interface
VERSION
@mparticle/cli/1.X.X darwin-x64 node-v10.XX.X
USAGE
$ mp [COMMAND]
COMMANDS
autocomplete display autocomplete installation instructions
help display help for mp
planning Manages Data Planning
As a convenience, we provide a simple autocomplete feature, where you can type in part of a command, then press <TAB>
to autocomplete a command.
Simply type mp autocomplete
for instructions on configuring this feature.
Simply use npm install -g @mparticle/cli
to upgrade to the latest version.
To perform commands on the CLI, you pass in flags such as authentication credentials or record identifiers. Some of these parameters can be added to an optional configuration file, mp.config.json
, to be shared between commands or other mParticle applications.
The CLI will automatically search in the current working directory for a valid json filed named mp.config.json
.
Alternatively, a json file can be passed in with the --config=/path/to/config
flag.
For example, if you need to store configs for multiple projects, you could store them in a central location and pass in either a relative or absolute path to the cli:
$> mp planning:data-plan-versions:fetch --config=~/.myconfigs/custom.config.json
It is recommended to have a single mp.config.json
file at the root of your project and always run the CLI from the root. If you are using our data planning linters, you must name your file mp.config.json
and keep it at the root of your folder.
{
"global": {
"workspaceId": "XXXXX",
"clientId": "XXXXXX",
"clientSecret": "XXXXXXXXX"
},
"planningConfig": {
"dataPlanVersionFile": "./path/to/dataPlanVersionFile.json"
}
}
This contains settings that would pertain to your account credentials and application.
workspaceId
: The workspace identifier for your team’s workspaceclientId
: A unique Client Identification string provided by your Customer Success ManagerclientSecret
: A secret key provided by your Customer Success ManagerIt is recommended that you always have these three credentials in your configuration as they are used by other Platform API services, such as Data Planning
These are configurations pertaining to your project’s Data Master resources, such as data plans and data plan versions. planningConfig
is required if you use our data plan linting tools, which you can learn more about here. Note that from the UI under Data Master/Plans, the json you download is a specific data plan version
.
dataPlanVersionFile
: A relative or absolute path file to your desired data plan version (used in place of dataPlanFile
and versionNumber
)dataPlanId
: The ID of your current Data PlandataPlanFile
: A relative or absolute path to your data plan file (must be used with versionNumber
below)versionNumber
: The Current Version Number for your Data Plan (must be used with dataPlanFile
)At its core, the CLI exposes services in a manner that is consistent with our REST APIs. Each command will offer a unique set of sub commands, as well as arguments and flags.
The CLI also provides universal command flags for global functions, such as --help
or --outfile
.
The CLI command structure is as follows:
mp [COMMAND]:[SUBCOMMAND]:[subcommand] --[flag]=[value][args...]
By default, every command will output to the CLI’s standard out. By adding a flag of --outFile=/path
, the user can output the response to a log file (or json file) depending on the use case.
The CLI provides a --help
flag which reveals all acceptable parameters and flags for a command, as well as a list of commands. Furthermore, top level commands will reveal their respective sub commands upon execution.
Any CLI command that requires any mParticle HTTP API resources allows two options for authentication. You can pass credentials via either 1. command line or 2. an mp.config.json
file in the root of your project.
Both of these methods will internally generate a bearer token on your behalf, as describe in Platform API Authentication.
Credentials Required:
Simply pass your authentication credentials via the following CLI flags:
$ mp [COMMAND]:[SUBCOMMAND] --workspaceID=XXXX --clientId=XXXXX --clientSecret=XXXXXX
To integrate with various services, we recommend adding an mp.config.json
file to the root of your project. This will allow you to set various properties related to your mParticle account as well as other project settings, such as your data plan directory.
For more information on mp.config.json.
For example, to authenticate, make sure the following is in your mp.config.json
file:
// mp.config.json
{
"global": {
"workspaceId": "XXXXX",
"clientId": "XXXXXX",
"clientSecret": "XXXXXXXXX"
}
}
This configuration file can then be referenced via the cli flag --config
. Additionally, the cli will search your current working directory for mp.config.json
.
For customers subscribed to Data Master, the CLI exposes commands to allow for Creating, Fetching, Updating, and Deleting data plans, as well as validating your events against a downloaded Data Plan.
Please be aware that all of these services require Platform API authentication credentials via mp.config.json
or via CLI arguments: clientId
, clientSecret
and workspaceId
as well as Data Planning access.
Fetching a Data Plan requires that a data plan exists on the server. Simply pass the dataPlanId
as a flag to fetch this resource.
The Resource must exist on the server, otherwise this will fail.
$ mp planning:data-plans:fetch --dataPlanId=XXXXXX
To fetch a Data Plan Version, simply use mp planning:data-plan-versions:fetch
and pass a dataPlanId
and versionNumber
.
Use the following command to create a Data Plan Resource (or Data Plan Version) on the server.
$ mp planning:data-plans:create --dataPlan="{ // Data plan as string //}"
You can also replace dataPlan
with dataPlanFile
to use a path to a locally stored data plan if that is more convenient.
For example:
$ mp planning:data-plans:create --dataPlanFile=/path/to/dataplan/file.json
To create a Data Plan Version, simply use mp planning:data-plan-versions:create
and pass a dataPlanId
as a secondary flag.
To edit an existing Data Plan (or Data Plan Version) on the server, use the following:
$ mp planning:data-plans:update --dataPlanId=XXXX --dataPlan="{ // Data plan as string //}"
You can also replace dataPlan
with dataPlanFile
to use a path to a locally stored data plan if that is more convenient.
For example:
$ mp planning:data-plans:update --dataPlanId=XXXXX --dataPlanFile=/path/to/dataplan/file
To create a Data Plan Version, simply use mp planning:data-plan-versions:update
, --dataPlanVersionFile
, and pass a dataPlanId
as a secondary flag.
To delete a data plan, simply pass the dataPlanId
into the delete command.
$ mp planning:data-plans:delete --dataPlanId=XXXX
Deleting a Data Plan version is similar, only requiring an additional flag of versionNumber
$ mp planning:data-plans:delete --dataPlanId=XXXXX --versionNumber=XX
Validating an Event Batch is a more complex task and the CLI provides flexibility by allowing validation to be done either locally or via the server, depending on your needs. Running a validation locally does not make a request on our servers, and as such is faster and ideal for a CI/CD environment.
$ mp planning:batches:validate --batch="{ // batch as string}" --dataPlanVersion="{ // data plan version as string }"
This will locally run your batch against a data plan version and return any validation results to the console.
This command also supports an --outfile
flag that will write the validation results to a file in your local directory, in case you’d like to save the results for future use.
Both batch
and dataPlanVersion
support a batchFile
and dataPlanVersionFile
parameter (as well as dataPlan
/dataPlanFile
and versionNumber
) options for less verbose validation commands.
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