This python library allows to export and import a community version instance of Metabase
Two scripts are provided to import and export fields, cards and dashboards of a specific database configuration of metabase:
# Export each component separately
python3 metabase_export.py [cards|fields|metrics|dashboards]
# Export everything together
python3 metabase_export.py all
# Export everything together and store the raw JSON without parsing it
python3 metabase_export.py --raw all
The script produces 3 files for each exported elements (the name of the database is user as prefix) : my_database_fields_exported.csv
, my_database_cards_exported.json
and my_database_dashboard_exported.json
# Import each component separately
python3 metabase_import.py [cards|fields|metrics|dashboards]
# Export everything together
python3 metabase_import.py all
The script imports from 3 files, one for each elements : my_database_fields_forimport.csv
, my_database_cards_forimport.json
and my_database_dashboard_forimport.json
Available flags for the scripts:
flag | description |
---|---|
--verbose | increase output verbosity of each command |
--dry-run | run the script without making POST/PUT requests |
--raw | store the raw JSON without parsing it |
It is recommended to predefine all the following environment variables in a .env
file:
env var | description |
---|---|
MB_DATA_DIR |
Directory to use for the export/import operations |
MB_EXPORT_HOST |
Source Metabase instance (https://<url>/api/ ) |
MB_EXPORT_USERNAME |
Admin username |
MB_EXPORT_PASSWORD |
Admin username password |
MB_EXPORT_DB |
The database name to export |
MB_IMPORT_HOST |
Destination Metabase instance (https://<url>/api/ ) |
MB_IMPORT_USERNAME |
Admin username |
MB_IMPORT_PASSWORD |
Admin username password |
MB_IMPORT_DB |
The name of the same database in the destination instance |
import metabase
# connect to metabase
ametabase = metabase.MetabaseApi("http://localhost:3000/api/", "metabase_username", "metabase_password")
# add a sqlite database located at /path/to/database.sqlite. The metabase associated name is my_database
ametabase.create_database("my_database", 'sqlite', {"db":"/path/to/database.sqlite"})
#ametabase.delete_database('my_database')
ametabase.create_user("[email protected]", "the_password", {'first_name': 'John', 'last_name': 'Doe'})
# Add a group and associate it with our new user
ametabase.membership_add('[email protected]', 'a_group')
# allow read data and create interraction with my_database for users members of our new group (a_group)
ametabase.permission_set_database('a_group', 'my_database', True, True)
# create a collection and its sub collection
ametabase.create_collection('sub_collection', 'main_collection')
# allow write right on the new collections to the membres of a_group
ametabase.permission_set_collection('main_collection', 'a_group', 'write')
ametabase.permission_set_collection('sub_collection', 'a_group', 'write')
# export and import the schema of fields
ametabase.export_fields_to_csv('my_database', 'my_database_fields.csv')
ametabase.import_fields_from_csv('my_database', 'my_database_fields.csv')
ametabase.export_cards_to_json('my_database', 'my_database_cards.json')
ametabase.export_dashboards_to_json('my_database', 'my_database_dashboard.json')
ametabase.import_cards_from_json('my_database', 'my_database_cards.json')
ametabase.import_dashboards_from_json('my_database', 'my_database_dashboard.json')
Development of this repository is done with Poetry.
make install
The tests are running with pytest
make test
# Run a tests matching an expression TEST_FUNC=<expression>
TEST_FUNC="invalid" make test