A command-line interface for Panoptes, the API behind the Zooniverse.
The Panoptes CLI is written in Python, so in order to install it you will need
to install Python 3 along with pip. Please note: while still compatible with
Python 2.7, we have ended support for use of the CLI with this deprecated version.
macOS and Linux already come with Python installed, so run this to see if you
already have everything you need:
$ python --version && pip --versionIf you see an error like python: command not found or pip: command not found
then you will need to install this:
Once these are installed you can just use pip to install the latest release of
the CLI:
$ pip install panoptescliAlternatively, if you want to preview the next release you can install HEAD directly from GitHub (though be aware that this may contain bugs/untested/incomplete features):
$ pip install -U git+https://github.com/zooniverse/panoptes-cli.gitTo upgrade an existing installation to the latest version:
pip install -U panoptescliEvery command comes with a built in --help option, which explains how to use
it.
$ panoptes --help
Usage: panoptes [OPTIONS] COMMAND [ARGS]...
Options:
-e, --endpoint TEXT Overides the default API endpoint
-a, --admin Enables admin mode. Ignored if you're not logged in as
an administrator.
--version Show the version and exit.
--help Show this message and exit.
Commands:
configure Sets default values for configuration options.
info Displays version and environment information for debugging.
project Contains commands for managing projects.
subject Contains commands for retrieving information about subjects.
subject-set Contains commands for managing subject sets.
user Contains commands for retrieving information about users.
workflow Contains commands for managing workflows.$ panoptes project --help
Usage: panoptes project [OPTIONS] COMMAND [ARGS]...
Contains commands for managing projects.
Options:
--help Show this message and exit.
Commands:
create Creates a new project.
delete
download Downloads project-level data exports.
info
ls Lists project IDs and names.
modify Changes the attributes of an existing project..$ panoptes subject-set upload-subjects --help
Usage: panoptes subject-set upload-subjects [OPTIONS] SUBJECT_SET_ID
MANIFEST_FILES...
Uploads subjects from each of the given MANIFEST_FILES.
Example with only local files:
$ panoptes subject-set upload-subjects 4667 manifest.csv
Local filenames will be automatically detected in the manifest and
uploaded, or filename columns can be specified with --file-column.
If you are hosting your media yourself, you can put the URLs in the
manifest and specify the column number(s):
$ panoptes subject-set upload-subjects -r 1 4667 manifest.csv
$ panoptes subject-set upload-subjects -r 1 -r 2 4667 manifest.csv
Any local files will still be detected and uploaded.
Options:
-M, --allow-missing Do not abort when creating subjects with no
media files.
-r, --remote-location INTEGER Specify a field (by column number) in the
manifest which contains a URL to a remote
media location. Can be used more than once.
-m, --mime-type TEXT MIME type for remote media. Defaults to
image/png. Can be used more than once, in
which case types are mapped one to one with
remote locations in the order they are given.
Has no effect without --remote-location.
-f, --file-column INTEGER Specify a field (by column number) in the
manifest which contains a local file to be
uploaded. Can be used more than once.
Disables auto-detection of filename columns.
--help Show this message and exit.If you wish to upload subjects with non-image media (e.g. audio or video),
you will need to make sure you have the libmagic library installed. If you
don't already have libmagic, please see the dependency information for
python-magic for more
details.
To check if libmagic is installed, run this command:
$ panoptes infoIf you see libmagic: False in the output then it isn't installed.
This readme does not list everything that the CLI can do. For a full list of commands and their options, use the built in help as described above.
$ panoptes configure
username []:
password:Press enter without typing anything to keep the current value (shown in brackets). You probably don't need to change the endpoint, unless you're running your own copy of the Panoptes API.
$ panoptes project create "My Project" "This is a description of my project"
*2797 zooniverse/my-project My ProjectThe * before the project ID indicates that the project is private.
$ panoptes subject-set create 2797 "My first subject set"
4667 My first subject set$ panoptes project modify --public 2797
2797 zooniverse/my-project My Project$ panoptes subject-set upload-subjects 4667 manifest.csvLocal filenames will be automatically detected in the manifest and uploaded. If you are hosting your media yourself, you can put the URLs in the manifest and specify the column number(s) and optionally set the file type if you're not uploading PNG images:
$ panoptes subject-set upload-subjects -m image/jpeg -r 1 4667 manifest.csv
$ panoptes subject-set upload-subjects -r 1 -r 2 4667 manifest.csvA manifest is a CSV file which contains the names of local media files to upload (one per column) or remote URLs (matching the -r option)
and any other column is recorded as subject metadata, where the column name is the key and the row/column entry is the value, for example:
| file_name_1 | file_name_2 | metadata | !metadata_hidden_from_classification | #metadata_hidden_from_all |
|---|---|---|---|---|
| local_image_file_1.jpeg | local_image_file_2.jpeg | image_01 | giraffe | kenya_site_1 |
If an upload fails for any reason, the CLI should detect the failure and give you the option of resuming the upload at a later time:
$ panoptes subject-set upload-subjects -m image/jpeg -r 1 4667 manifest.csv
Uploading subjects [------------------------------------] 0% 00:41:05
Error: Upload failed.
Would you like to save the upload state to resume the upload later? [Y/n]: y
Enter filename to save to [panoptes-upload-4667.yaml]:This will save a new manifest file which you can use to resume the upload. The new manifest file will be in YAML format rather than CSV, and the YAML file contains all the information about the original upload (including any command-line options you specified) along with a list of the subjects which have not yet been uploaded.
To resume the upload, simply run the upload-subjects command specifying the same subject set ID with the new manifest file. Note that you do not need to include any other options that you originally specified (such as -r, -m, and so on):
$ panoptes subject-set upload-subjects 4667 panoptes-upload-4667.yaml$ panoptes project download --generate 2797 classifications.csvIt is also possible to generate and download workflow classification or subject set classification exports
$ panoptes workflow download-classifications --generate 18706 workflow-18706-classifications.csv
$ panoptes subject-set download-classifications --generate 79758 subjectset-79759-classifications.csv$ panoptes project download --generate --data-type talk_comments 2797 classifications.csv$ panoptes workflow ls -p 2797
1579 Example workflow 1
2251 Example workflow 2$ panoptes workflow add-subject-sets 1579 4667$ panoptes subject-set ls -w 1579
4667 My first subject set# for known subjects with ids 2001, 2001 and workflow with id 101
$ panoptes workflow retire-subjects 101 2001 2002# for known subjects with ids 2001, 2001 and workflow with id 101
$ panoptes workflow unretire-subjects 101 2001 2002# for known subject sets with ids 300, 301 and workflow with id 101
panoptes workflow unretire-subject-sets 101 300 301$ panoptes subject-set ls -p 2797$ panoptes subject-set ls -p 2797 4667# for known subjects with ids 3, 2, 1 and subject set with id 999
$ panoptes subject-set add-subjects 999 3 2 1Importing iNaturalist observations to the Zooniverse as subjects is possible via an API endpoint, which is accessible via this client.
This command initiates a background job on the Zooniverse platform to import Observations. The request will return a 200 upon success, and the import will begin as the Zooniverse and iNaturalist APIs talk to each other. Once the command is issued, the work is being done remotely and you can refresh the subject set in the project builder to check its progress. The authenticated user will receive an email when this job is completed; you don't have to keep the terminal open.
This command imports “verifiable” observations, which according to the iNat docs means “observations with a quality_grade of either needs_id or research." Project owners and collaborators can use this CLI to send a request to begin that import process:
# Requires an iNaturalist taxon id and a Zooniverse subject set (both integers). This will import all observations for that taxon id.
$ panoptes inaturalist import-observations --taxon-id 46017 --subject-set-id 999999Optional: include an updated_since timestamp (string) to include only observations updated after that date:
$ panoptes inaturalist import-observations --taxon-id 46017 --subject-set-id 999999 --updated-since 2022-12-03The --updated-since argument is a standard ISO timestamp, such as '2022-12-03' or `2022-12-03T18:56:06+00:00'. It is passed directly to the iNat Observations v2 API as the 'updated_since' query parameter.
To view the various requests as sent to the Panoptes API as well as other info,
include the env var PANOPTES_DEBUG=true before your command, like so:
PANOPTES_DEBUG=true panoptes workflow ls -p 1234
Run docker-compose build to build the containers. Note there are mulitple containers for different envs, see docker-compose.yml for more details
Create and run all the containers with docker-compose up
docker-compose run --rm dev sh to start an interactive shell in the containerpython -m unittest discover to run the full test suite