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        "author": "Open FUN (France Universite Num\u00e9rique)",
        "author_email": "fun.dev@fun-mooc.fr",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Framework :: Django",
            "Framework :: Django :: 1.8",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7"
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        "description": "Proctor Exam Xblock\n=========================\n\nXblock restricting access to course test to Proctor Exam monitoring process.\n\n[![CircleCI](https://circleci.com/gh/openfun/xblock-proctor-exam/tree/master.svg?style=svg)](https://circleci.com/gh/openfun/xblock-proctor-exam/tree/master)\n\n## Installation\n\nInstall this package with `pip` using FUN package index _via_:\n\n```bash\n$ pip install --extra-index-url https://pypi.fury.io/openfun xblock-proctor-exam\n```\n\nAlternatively, if you intend to work on this project, clone this repository\nfirst, and then make an editable installation _via_:\n\n```bash\n$ pip install -e \".[dev]\"\n```\n\n## Configuration\n\nProctor Exam xblock relies on [Configurable LTI Consumer](https://github.com/openfun/xblock-configurable-lti-consumer)\nwhich should also be installed in Python environment, therefore it also use its Django settings for configuration,\nsee [Configurable LTI Consumer documentation](https://github.com/openfun/xblock-configurable-lti-consumer/blob/master/README.md#configuration-examples).\n\nA typical Proctor Exam LTI configuration should look like this:\n\n```python\nLTI_XBLOCK_CONFIGURATIONS = [\n    {\n        \"shared_secret\": \"TestSharedSecret\",\n        \"oauth_consumer_key\": \"TestOauthConsumerKey\",\n        \"display_name\": \"\",  # this is required to let xblock register itself in studio\n        \"is_launch_url_regex\": False,\n        \"automatic_resizing\": None,\n        \"inline_ratio\": None,\n        \"ignore_configuration\": True,\n        \"show_button\": False,\n        \"pattern\": \".*fun\\.proctorexam\\.com/lti\\?id=(?P<exam_id>[0-9]+)\",\n        \"hidden_fields\": [\n            \"display_name\",\n            \"description\",\n            \"lti_id\",\n            \"launch_target\",\n            \"inline_height\",\n            \"accept_grades_past_due\",\n            \"ask_to_send_username\",\n            \"ask_to_send_email\",\n            \"custom_parameters\",\n            \"has_score\",\n            \"hide_launch\",\n            \"modal_height\",\n            \"modal_width\",\n            \"weight\",\n            \"button_text\"\n        ],\n        \"defaults\": {\n            \"launch_target\": \"new_window\",\n            \"lti_id\": \"proctor_exam\",\n        },\n    }]\n```\n\n`configurable-lti-provide` also allows to set LTI OAuth credentials in LTI_XBLOCK_CONFIGURATION,\nor in an other constant LTI_XBLOCK_SECRETS which then can be stored in encrypted vault.\n\n```python\nLTI_XBLOCK_SECRETS = {\n    \"proctor_exam\": {\n        \"shared_secret\": \"TestSharedSecret\",\n        \"oauth_consumer_key\": \"TestOauthConsumerKey\",\n    }\n}\n```\n\nOr they can be set at course level in advanced settings\n\nAdd finally, `proctor_exam` to the list of advanced modules in the\n\"advanced settings\" of a course.\n\n\nPlease note that the workbench included in the present repository is running a standard configuration with fake credentials. (see [config/settings.yml.dist](./config/settings.yml.dist))\n\n\n",
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