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    "info": {
        "author": "Datera Automation Team",
        "author_email": "support@datera.io",
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            "License :: OSI Approved :: Apache Software License",
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        "description": "# Datera Python SDK\n\n\n## Introduction\n\nThis is Python SDK version v1.2 for the **Datera** Fabric Services API.\nDownload and use of this package implicitly accepts the terms in COPYING\n\nUsers of this package are assumed to have familiarity with the **Datera** API.\nDetails around the API itself are not necessarily covered through this SDK.\n\n## Features\n\n* Automatic session management and login\n* Automatic and configuable request retries\n* Object to REST request translation\n* Standard Logging Format (compatible with Datera SREQ log parsing)\n* Endpoint validation (toggleable)\n* Dot-notation access to response attributes\n* [UDC](#universal-datera-config) compliance\n\n## Installation\n\n### From Source\n```bash\n    apt-get install python-virtualenv (or yum install python-virtualenv for CentOS)\n    virtualenv sdk\n    source sdk/bin/activate\n    git clone https://github.com/Datera/python-sdk.git\n    cd python-sdk\n    pip install -r requirements.txt\n    python setup.py install\n```\n\n### From PYPI\n```bash\n    pip install -U dfs_sdk\n```\n\n## Universal Datera Config\n\nThe Universal Datera Config (UDC) is a config that can be specified in a\nnumber of ways:\n\n* JSON file with any of the following names:\n    - .datera-config\n    - datera-config\n    - .datera-config.json\n    - datera-config.json\n* The JSON file has the following configuration:\n```json\n     {\"mgmt_ip\": \"1.1.1.1\",\n      \"username\": \"admin\",\n      \"password\": \"password\",\n      \"tenant\": \"/root\",\n      \"api_version\": \"2.2\",\n      \"ldap\": \"\"}\n```\n* The file can be in any of the following places.  This is also the lookup\n  order for config files:\n    - current directory\n    - home directory\n    - home/config directory\n    - /etc/datera\n* If no datera config file is found and a cinder.conf file is present, the\n  config parser will try and pull connection credentials from the\n  cinder.conf\n* Tenant and API version and LDAP are always optional, but it's generally\n  suggested to include them in your UDC file for easy reference.\n* Instead of a JSON file, environment variables can be used.\n    - `DAT_MGMT`\n    - `DAT_USER`\n    - `DAT_PASS`\n    - `DAT_TENANT`\n    - `DAT_API`\n    - `DAT_LDAP`\n* Most tools built to use the Universal Datera Config will also allow\n  for providing/overriding any of the config values via command line flags.\n    - --hostname\n    - --username\n    - --password\n    - --tenant\n    - --api-version\n    - --ldap\n\n## Developing with Universal Datera Config\n\nTo use UDC in a new python tool is very simple just add the following to\nyour python script:\n\n```python\nfrom dfs_sdk import scaffold\n\nparser = scaffold.get_argparser()\nparser.add_argument('my-new-arg')\nargs = parser.parse_args()\n```\n\nIf you want to use subparsers, or customize the help outptu of your parser\nthen use the following\n\n```python\nimport argparse\nfrom dfs_sdk import scaffold\n\ntop_parser = scaffold.get_argparser(add_help=False)\nnew_parser = argparse.ArgumentParser(parents=[top_parser])\nnew_parser.add_argument('my-new-arg')\nargs = new_parser.parse_args()\n```\n\nInside a script the config can be recieved by calling\n```python\nfrom dfs_sdk import scaffold\n\nscaffold.get_argparser()\nconfig = scaffold.get_config()\n```\nNOTE: It is no longer required to call ``scaffold.get_argparser()`` before\ncalling ``scaffold.get_config()``.  This is only necessary if building\na CLI tool that needs the cli parser.\n\n## Logging\n\nTo set custom logging.json file\n```bash\n    export DSDK_LOG_CFG=your/log/location.json\n```\nOr the value can be set to a debug, info or error\n```bash\n    export DSDK_LOG_CFG=info\n```\n\nTo set logging to stdout.  The value can be any logging level supported by\nthe python logging module (eg: debug, info, etc)\n```bash\n    export DSDK_LOG_STDOUT=debug\n```\n\nThe debug logs generated by the python-sdk are quite large, and are on a\nrotating file handler (provided that a custom logging.json file is not provided)\n\n## Managed Objects\n\nDatera provides an application-driven storage management model, whose goal is to closely align storage\nwith a corresponding application's requirements.\n\nThe main storage objects are defined and differentiated as follows:\n\n### Application Instance (AppInstance)\n    -    Corresponds to an application, service, etc.\n    -    Contains Zero or more Storage Instances\n\n### Storage Instance\n    -    Corresponds to one set of storage requirements for a given AppInstance\n    -    ACL Policies, including IQN Initiators\n    -    Target IQN\n    -    Contains Zero or more Volumes\n\n### Volumes\n    -    Corresponds to a single allocated storage object\n    -    Size (default unit is GB)\n    -    Replication Factor\n    -    Performance Policies (QoS for Bandwidth and IOPS)\n    -    Protection Policies (Snapshot scheduling)\n\nAnother way of viewing the managed object hierarchy is as follows:\n\n    app_instances:\n        - storage_instances:                 (1 or more per app_instance)\n            + acl_policy                     (1 or more host initiators )\n            + iqn                            (target IQN)\n            + ips                            (target IPs)\n            + volumes:                       (1 or more per storage_instance)\n                * name\n                * size\n                * replication\n                * performance_policy         (i.e. QoS)\n                * protection_policy          (i.e. Snapshot schedules)\n\n\n## Endpoints\n\nHTTP operations on URL endpoints is the only way to interact with the set of managed objects.\nURL's have the format:\n```bash\n      http://192.168.42.13:7717/v2.2/<object_class>/[<instance>]/...\n```\nwhere **7717** is the port used to access the API, and \"v2.2\" corresponds to an API version control.\n\nBriefly, the REST API supports 4 operations/methods **create (POST), modify (PUT), list (GET), delete (DELETE)**.\nAny input payload is in JSON format;  any return payload is in JSON format.\nLogin session keys are required within the \"header\" of any HTTP request.\nSessions keys have a 15 minute lifetime.\n\nFor a full reference documentation of the REST API, please review the Datera REST API Guide.\n\nThis Python SDK serves as a wrapper around the raw HTTP layer.\n\n## Using this SDK\n\nThe Datera module is named **dfs_sdk**, and the main entry point is called __DateraApi__.\nObtaining an object handle can be done as follows:\n```python\n    from dfs_sdk import get_api\n    [...]\n    api = get_api(mgmt_ip, username, password, \"v2.2\" **kwargs)\n```\n\nYou can also initialize the SDK using a Datera UDC file.  The following will read any valid\nUDC file on the system or from the current environment variables.\n\n```python\n    from dfs_sdk.scaffold import get_api\n    [...]\n    api = get_api()\n```\n## Configurable Options\n\nThese options can be set on instantiation via the ``get_api`` constructor\n\nOption | Default | Description\n-------|-------- | -----------\ntenant | '/root' | Datera account tenant/subtenant\ntimeout | 300 (s) | Timeout for HTTP requests\nsecure | True | Whether to use HTTPS (False sets HTTP)\nstrict | False | Whether to check if an endpoint is valid before sending request\ncert | None | HTTPS verification certificate\ncert\\_key | None | HTTPS verification certificate key\nthread\\_local | {} | Used for passing values down to the connection layer, usually for logging\n\n\n## Common Objects, Examples and  Use Cases\n\nPlease see the **utils** directory for programming examples that cover the following:\n\nCommon methods for all objects include **create(), set(), delete(), list()**\n\n+ To create an app\\_instance with name **FOO**:\n```python\n        ai = api.app_instances.create(name=\"FOO\")\n```\n+ Looping through objects can be done via **list()**:\n```python\n        for ai in api.app_instances.list():\n            print \"AppInstance: \", ai\n```\n+ To set a given **app_instance** into an _offline_ state:\n```python\n        ai.set(admin_state=\"offline\")\n```\n+ To delete a given app\\_instance:\n```python\n        ai.delete()\n```\n## Reporting Problems\n\nFor problems and feedback, please email \"support@datera.io\"\n\n\n",
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