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        "author": "Zegami",
        "author_email": "help@zegami.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
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        "description": "# zegami-cli\nA Command Line Interface for [Zegami](https://www.zegami.com).\n\nZegami is a visual data exploration tool that makes the analysis of large collections of image rich information quick and simple.\n\n# Installation\n```\npip3 install zegami-cli[sql]\n```\n\n# Commands\n\n## Login\nThe login command promtps for username and password which is then used to retrieve a long-lived API token which can be used for subsequent requests. The token is stored in a file in the currenet users data directory.\nOnce retrieved all subsequest commands will use the stored token, unless it is specifically overridden wiht the `--token` option\n```\nzeg login\n```\n\n## Get a collection\nGet the details of a collection.\nIf the `collection id` is excluded then all collections will be listed.\n```\nzeg get collections [collection id] --project [Project Id] --token [API token]\n```\n\n## Update a collection\nUpdate a collection - *coming soon*.\n\n## Delete a collection\nDelete a collection\n```\nzeg delete collections [collection id] --project [Project Id] --token [API token]\n```\n\n## Publish a collection\n```\nzeg publish collection [collection id] --project [Project Id] --config [path to configuration yaml] --token [API token]\n```\n\nThe config `yaml` file is used to specify additional configuration for the collection publish.\n```\n# The type of update. For now this needs to be set to 'publish'\nupdate_type: publish\n# Config for the publish update type\npublish_config:\n# Flag to indicate if the collection should be published or unpublished\n    publish: true\n# The id of the project to publish to\n    destination_project: public\n```\n\n## Get a data set\nGet a data set\n```\nzeg get dataset [dataset id] --project [Project Id] --token [API token]\n```\n\n## Update a data set\nUpdate an existing data set with new data.\n```\nzeg update dataset [dataset id] --project [Project Id] --config [path to configuration yaml] --token [API token]\n```\n\nThe config `yaml` file is used to specify additional configuration for the data set update. There are *two* supported `dataset_type` supported.\n\n### File\nThe `file` type is used to update a data set with a file. It can be set up to either specify the fully qualified path to a `.csv.`, `.tsv` or `.xlsx` file to upload using the `path` property *or* the `directory` property can be used to upload the latest file in a directory location.\n```\n# The type of data set. For now this needs to be set to 'file'\ndataset_type: file\n# Config for the file data set type\nfile_config:\n# Path to the dataset file\n    path: \n# Or path to a directory that contains data files.\n# Only the latest file that matches the accepted extensions (.csv, .tsv, .xlsx)\n# will be uploaded. This is useful for creating collections based on\n# automated exports from a system, like log files.\n    directory:\n```\n\n### SQL\nThe `sql` type is used to update a data set based on an `SQL` query.\nUses SQLAlchemy to connect to the database. See http://docs.sqlalchemy.org/en/latest/core/engines.html and https://www.connectionstrings.com/ for the correct connection string format.\n\n```\n# The type of data set. For now this needs to be set to 'file'\ndataset_type: sql\n# Config for the sql data set type\nsql_config:\n# The connection string.\n    connection: \n# SQL query\n    query:\n```\n\n## Delete a data set\nDelete a data set - *coming soon*.\n```\nzeg delete dataset [dataset id] --project [Project Id] --token [API token]\n```\n\n## Get an image set\nGet an image set - *coming soon*.\n```\nzeg get imageset [imageset id] --project [Project Id] --token [API token]\n```\n\n## Update an image set\nUpdate an image set with new images.\n```\nzeg update imageset [imageset id] --project [Project Id] --config [path to configuration yaml] --token [API token]\n```\n\nThe config `yaml` file is used to specify additional configuration for the image set update.\n\n### File imageset\n\nThe `paths` property is used to specify the location of images to upload and can include both images and directories.\n\n\n```\n# The type of image set. for now this needs to be set to 'file'\nimageset_type: file\n# Config for the file image set type\nfile_config:\n# A collection of paths. Paths can be to both images and directories \n    paths:\n        - an_image.jpg\n        - a/directory/path\n# Unique identifier of the collection\ncollection_id: 5ad3a99b75f3b30001732f36\n# Unique identifier of the collection data set\ndataset_id: 5ad3a99b75f3b30001732f36\n# Name of the column in the dataset that contains the image name\ndataset_column: image_name\n```\n\n### URL imageset\n\nThe dataset_column property is used to set the column where the url is stored. You will need to include the full image url e.g. https://zegami.com/wp-content/uploads/2018/01/weatherall.svg\n\n```\n# The type of image set. for now this needs to be set to 'url'\nimageset_type: url\n# Unique identifier of the collection\ncollection_id: 5ad3a99b75f3b30001732f36\n# Unique identifier of the collection data set\ndataset_id: 5ad3a99b75f3b30001732f36\n# Name of the column in the dataset that contains the image url\ndataset_column: image_name\n```\n\n\n\n## Delete an image set\nDelete an image set - *coming soon*.\n```\nzeg delete imageset [imageset id] --project [Project Id] --token [API token]\n```\n\n\n",
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