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CleverMaps Shell is controlled solely by a set of predefined commands. These commands can be divided in 4 categories, or workflow states. All commands and parameters are case sensitive.

Each command can be further specified by parameters, which can have default values. Each parameter also has a "--" prefix, which is a technicality, and is not mentioned in the tables below, for the sake of readability.

Parameters with string type take string input as a value, if they are mentioned. Parameters with enum type have predefined enumeration of strings, which can be passed as a value. Parameters with boolean type can be passed either true, false or no value (=true).

Workflow states

• Started - you have started the tool
• Connected to server - you have successfully logged in to your account on a specific server
• Opened project - you have opened a project you have access to
• Opened dump - you have created a new dump, or opened an existing one

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Started state

login

Log in as a user to CleverMaps with correct credentials.

setup

Store your config and credentials in a file so you don't have to specify them each time you log in.

Connected to server

openProject

Open a project and set as current.

Project ID of project to be opened

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listProjectsAnchor listProjectsAnchor

listProjects

List all projects avaliable to you on the server.

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createProjectAnchor createProjectAnchor

createProject

Create a new project and opens it.

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editProjectAnchor editProjectAnchor

editProject

Edit project properties.

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deleteProjectAnchor deleteProjectAnchor

deleteProject

Delete an existing project.

Opened project

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importProjectAnchor importProjectAnchor

importProject

Allows you to import either:

• project from a server (e.g. a data dimension)
• create a complete project clone (See the tutorial)
• a local dump of a project (See the tutorial)

You can also import a part of a project with one of the parameters (dashboards, datasets, indicators, indicatorDrills, markers, markerSelectors, metrics, views). If you specify none of these parameters, the whole project will be imported. Everytime you specify a datasets parameter, corresponding data will be imported.

Before each import, validate command is called in the background. If there are any model validation violations in the source project, the import is stopped, unless you also provide the --force parameter.

During the import, the origin key is set to all metadata objects. This key indicates the original location of the object (server and the project). This has a special use in case of datasets & data import. import first takes a look at what datasets currently are in the project and compares them with datasets that are about to be imported. Datasets that are not present in the destination project will be imported automatically. In case of datasets that are present in the destination project, 3 cases might occur:

• if they have the same name and origin, the dataset will not be imported
• if they have the same name but different origin, a warning is shown and the dataset will not be imported
• if a prefix is specified, all source datasets will be imported

indicatorDrills

Usage examples:

// import all objects referenced from catchment_area_view including datasets & data
importProject --project djrt22megphul1a5 --server --cascadeFrom catchment_area_view

// import all objects referenced from catchment_area_view except including datasets & data
importProject --project djrt22megphul1a5 --server --cascadeFrom catchment_area_view --dashboards --exports --indicatorDrills --indicators --markerSelectors --markers --metrics --views

// import all objects referenced from catchment_area_dashboard
importProject --project djrt22megphul1a5 --server --cascadeFrom catchment_area_dashboard

// import all objects (datasets) referenced from baskets dataset - data model subset
importProject --project djrt22megphul1a5 --server --force --cascadeFrom baskets

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importDatabaseAnchor importDatabaseAnchor

importDatabase

Allows you to create datasets and import data from an external database.

This command reads the database metadata from which datasets are created, then imports the data and saves them as CSV files. You can choose to import either of which with --skipMetadata and --skipData parameters. Please note that this command does not create any other metadata objects than datasets. It's also possible to import only specific tables using the --tables parameter.

The database must be located on a running database server which is accessible under an URL. This can be on localhost, or anywhere on the internet. Valid credentials to the database are of course necessary.

So far, the command supports these database engines:

• PostgreSQL (https://www.postgresql.org/)

Usage examples:

importDatabase --engine postgresql --host localhost --port 5432 --database my_db --user postgres --password test
importDatabase --engine postgresql --host 172.16.254.1 --port 6543 --schema my_schema --database my_db --user postgres --password test --tables orders,clients,stores

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loadCsvAnchor loadCsvAnchor

loadCsv

Load data from a CSV file into a specified dataset.

loadCsv also offers various CSV input settings. Your CSV file may contain specific features, like custom quote or separator characters. The parameters with the csv prefix allow you to configure the data load to fit these features, instead of transforming the CSV file to one specific format. Special cases include the csvNull and csvForceNull parameters.

• csvNull allows you to specify a value, which will be interpreted as a null value
  • e.g. "false" or "_"
• csvForceNull then specifies on which columns the custom null replacement should be enforced
  • e.g. "name,title,description"

Usage examples:

Please note that your AWS S3 Access Key ID and Secret Access Key must be set using setup command first.

loadCsv --dataset orders --mode full --s3Uri s3://my-company/data/orders.csv --verbose

loadCsv --dataset orders --mode full --url http://www.example.com/download/orders.csv --verbose

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dumpCsvAnchor dumpCsvAnchor

dumpCsv

Dump data from a specified dataset into a CSV file. Creates new dump with dumped data.

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dumpProjectAnchor dumpProjectAnchor

dumpProject

Dump project data and metadata to a directory. If the dump if successfull, the current dump is opened.

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listDumpsAnchor listDumpsAnchor

listDumps

List all project dumps in a local directory.

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openDumpAnchor openDumpAnchor

openDump

Open a specific dump.

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truncateProjectAnchor truncateProjectAnchor

truncateProject

Deletes all metadata and data from the project.

This command has no parameters.

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validateAnchor validateAnchor

validate

Validate the project's data model and data integrity.

Opened dump

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addMetadataAnchor addMetadataAnchor

addMetadata

Add a new metadata object and upload it to the project. The file must be located in a currently opened dump, and in the correct directory.

If the --objectName parameter is not specified, addMetadata will add all new objects in the current dump.

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createMetadataAnchor createMetadataAnchor

createMetadata

Create a new metadata object.

 At this moment, only dataset type is supported. Datasets are generated from a provided CSV file.

Usage examples:

createMetadata --type dataset --subtype basic --objectName "baskets" --file "baskets.csv" --primaryKey "basket_id"
createMetadata --type dataset --subtype geometryPoint --objectName "shops" --file "shops.csv" --primaryKey "shop_id"
createMetadata --type dataset --subtype geometryPolygon --objectName "district" --geometry "districtgeojson" --file "district.csv" --primaryKey "district_code"

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removeMetadataAnchor removeMetadataAnchor

removeMetadata

Remove a metadata object from the project and from the dump. The file must be located in a currently opened dump, and must not be new.

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renameMetadataAnchor renameMetadataAnchor

renameMetadata

Rename an object in a local dump and on the server. If the object is referenced in some other objects by URI (/rest/projects/$projectId/md/{objectType}?name=), the references will be renamed as well.

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copyMetadataAnchor copyMetadataAnchor

copyMetadata

Create a copy of an object existing in a currently opened dump.

This command unwraps the object from a wrapper, renames it and removes generated common syntax keys. If the objectName and newName arguments are the same, the object is unwrapped only.

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pushProjectAnchor pushProjectAnchor

pushProject

Upload all modified files (data & metadata) to the project.

This command basically wraps the functionality of loadCsv. It collects all modified metadata to upload, and performs full load of CSV files.

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statusAnchor statusAnchor

status

Check the status of a currently opened dump against the project on the server.

This command detects files which have been locally or remotely changed, and also detects files which have a syntax error or constraint violations.

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applyDiffAnchor applyDiffAnchor

applyDiff

Create and apply metadata diff between two live projects.

This command compares all metadata objects of the currently opened project and project specified in the --sourceProject command, and applies changes to the currently opened dump. Metadata objects in dump can be either:

• added (completely new objects that aren't present in currently opened project)
• modified
• deleted (deleted objects not present in the sourceProject)

When the command finishes, you can review the changes applied to the dump using either status or diff comands. The command then tells you to perform specific subsequent steps. This can be one of (or all) these commands:

• addMetadata (to add the new objects)
• pushProject (to push the changes in modified objects)
• removeMetadata (to remove the deleted objects - a command list which must be copypasted to Shell is generated )

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diffAnchor diffAnchor

diff

Compare local metadata objects with those in project line by line.

If the --objectName parameter is not specified, all wrapped modifed objects are compared.

The command outputs sets of changes - "deltas" done in each object. Each object can have multiple deltas, which are followed by header with syntax:

/{objectType}/{objectName}.json
[ A1 A2 | B1 B2 ]
...

Where:
A1 = start delta line number in the dump file
A2 = end delta line number in the dump file
B1 = start delta line number in the remote file
B2 = end delta line number in the remote file

Specific output example:

Which means lines 82-85 in the dump object have been added (+) in favor of lines 82-85, which have been removed (−) from the remote object.