Arkindex CLI client easy and sexy to use
Project description
Arkindex CLI
The Arkindex CLI allows you to perform various advanced actions on an Arkindex instance. It can both be used interactively or for scripting.
You can install this tool using pip: pip install arkindex-cli
To get general help about the CLI from the command line, use arkindex -h
.
To get specific help for a subcommand, use arkindex <subcommand> -h
.
Logging in
To interact with an Arkindex instance, you first need to log in with your email and password. To do so, use this command:
arkindex login
You will be asked for the instance URL, your email and your password. If it all goes well, you will be asked for an alias under which the credentials should be stored, and whether or not these should be the default credentials to use for all other commands.
The credentials are then stored in a YAML file at
~/.config/arkindex/cli.yaml
. Your email and password are not directly stored;
only the instance URL and an API token.
In any subcommand, you can use the -p
or --profile
arguments to select a
profile other than your default. For example, if you are logged in to two
instances using the aliases Foo
and Bar
, and your default instance is
Foo
, all arkindex
commands will login to Foo
by default, and you can
connect to Bar
using arkindex --profile Bar <subcommand>
.
ML reports
Arkindex machine learning workers can return ml_report.json
artifacts; JSON
files that describe which elements a worker processed, along with the created
elements, classifications or transcriptions and the encountered errors.
The CLI can fetch all of the ML reports for a process and provide statistics on the errors:
arkindex process report <Process ID>
A possible output might be:
11061 elements: 10575 successful, 486 with errors
Errors by class
┏━━━━━━━━━━━━━┳━━━━━━━┓
┃ Class ┃ Count ┃
┡━━━━━━━━━━━━━╇━━━━━━━┩
│ HTTPError │ 470 │
│ KeyError │ 15 │
│ ReadTimeout │ 1 │
└─────────────┴───────┘
By default, this command retrieves the ML reports for the latest run of the
process. If you want to use another run, you can specify its number using
-r
or --run
:
arkindex process report <Process ID> --run 4
Output modes
A JSON mode is available with the -j
or --json
arguments.
This will return an object with all elements from all ML reports that have
at least one error.
You can also display the full error messages and tracebacks with syntax
highlighting using -v
or --verbose
.
Process recovery
It is possible to start a new process on another process' failed elements (elements with at least one error):
arkindex process recover <Process ID>
This will retrieve the ML reports, list the failed elements, add them to your selection, then create an unconfigured process. A link will be provided to then open the Arkindex frontend, allowing you to configure and start your new process.
Since this updates your selection, if you already had selected elements, the tool will ask for your confirmation before deselecting them.
By default, this command retrieves failed elements from the ML reports for the
latest run of the process. If you want to use another run, you can specify its
number using -r
or --run
:
arkindex process recover <Process ID> --run 4
Classes management
You can build a CSV file listing all the ML classes from a corpus:
arkindex classes --init my_classes.csv <corpus_id>
The file my_classes.csv
will then have two columns (ID and class name), for each class found.
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