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    "info": {
        "author": "LivePerson",
        "author_email": "analytics@liveperson.com",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
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        "description": "# lp_api_wrapper: Unofficial LivePerson API Python Wrapper\n[![PyPI version](https://badge.fury.io/py/lp_api_wrapper.svg)](https://badge.fury.io/py/lp_api_wrapper)\n![Python version](https://img.shields.io/badge/python-3.4%2B-blue.svg)\n\nlp_api_wrapper is a native Python library to interface with LivePerson's APIs.\nAll methods will return decoded JSON in native Python data structures.\n\nThe following APIs are supported:\n* Messaging Interactions API\n    * conversations - _1 offset of data in start date range_\n    * all_conversations - _All offsets of data in start date range_\n    * get_conversation_by_conversation_id\n    * get_conversations_by_consumer_id\n* Engagement History API\n    * engagements - _1 offset of data in start date range_\n    * all_engagements - _All offsets of data in start date range_\n* Agent Metrics API\n    * agent_status\n    * summary\n* Messaging Operations API\n    * messaging_conversation\n    * messaging_current_queue_health\n    * messaging_queue_health\n    * messaging_csat_distribution\n* Operational Realtime API\n    * queue_health\n    * engagement_activity\n    * agent_activity\n    * current_queue_state\n    * sla_histogram\n* Predefined Content API\n    * get_predefined_content_items\n* Predefined Categories API\n    * categories_list\n\n## Installation\n```bash\n$ pip install --upgrade lp_api_wrapper\n```\n\n## Import lp_api_wrapper\n```python\n# For Messaging Interactions API\nfrom lp_api_wrapper import MessagingInteractions\n\n# For Engagement History API\nfrom lp_api_wrapper import EngagementHistory\n\n# For Agent Metrics API\nfrom lp_api_wrapper import AgentMetrics\n\n# For Messaging Operations API\nfrom lp_api_wrapper import MessagingOperations\n\n# For Operational Realtime API\nfrom lp_api_wrapper import OperationalRealtime\n\n# For Predefined Content API\nfrom lp_api_wrapper import PredefinedContent\n\n# For Predefined Categories API\nfrom lp_api_wrapper import PredefinedCategories\n```\n\n## Login/Authentication\nEach class in lp_api_wrapper accepts user login or oauth1 authentication.\n\nLogin via the Login Service API:\nhttps://developers.liveperson.com/login-getting-started.html\n\n```python\nfrom lp_api_wrapper import UserLogin\n\nauth = UserLogin(\n    account_id='1234', \n    username='YOURUSERNAME', \n    password='YOURPASSWORD'\n)\n```\n\nOr, login using OAuth1 authentication\n```python\nfrom lp_api_wrapper import OAuthLogin\n\nauth = OAuthLogin(\n    account_id='1234', \n    app_key='APP_KEY', \n    app_secret='APP_SECRET', \n    access_token='ACCESS_TOKEN', \n    access_token_secret='ACCESS_TOKEN_SECRET'\n)\n```\n\n## Messaging Interactions API\nCreate Messaging Interactions Connection\n```python\nfrom lp_api_wrapper import MessagingInteractions\nmi_conn = MessagingInteractions(auth=auth)\n```\n\n#### 1. Conversations\nDocumentation:\n* https://developers.liveperson.com/data-messaging-interactions-conversations.html\n\nNote!\n* Will return 1 offset of data.\n\nArguments:\n\n* body: dict (Note: Check reference for details.)\n* offset: int (Default: 0)\n* limit: int (Default: 100)\n* sort: str (Default: None)\n\n```python\nbody = {'start': {'from': 1491004800000, 'to': 1491091199000}}\ndata = mi_conn.conversations(body)\n```\n\n#### 2. All Conversations\nDocumentation:\n* https://developers.liveperson.com/data-messaging-interactions-conversations.html\n\nNote!\n* Will return all offsets of data as a list of conversations.\n\nArguments:\n* body: dict (Note: Check reference for details.)\n* max_workers: int (Max number of API requests at a time. Default:7)\n* debug: int (Status of API requests: 1=full, 2=summary, default=0)\n* parse_data: bool (Parses data and returns a Conversations data object. Default: False)\n\n```python\nbody = {'start': {'from': 1491004800000, 'to': 1491091199000}}\ndata = mi_conn.all_conversations(body)\n```\n\n#### 2. Get conversation by conversation id\nDocumentation:\n* https://developers.liveperson.com/data-messaging-interactions-get-conversation-by-conversation-id.html\n\nArguments:\n* conversation_id: str\n\n```python\ndata = mi_conn.get_conversation_by_conversation_id(conversation_id='1234abc')\n```\n\n#### 3. Get conversation by consumer id\nDocumentation:\n* https://developers.liveperson.com/data-messaging-interactions-get-conversations-by-consumer-id.html\n\nArguments:\n* consumer_id: str\n\n```python\ndata = mi_conn.get_conversations_by_consumer_id(consumer_id='1234abc')\n```\n\n## Engagement History API\nCreate Engagement History Connection.\n```python\nfrom lp_api_wrapper import EngagementHistory\nmi_conn = EngagementHistory(auth=auth)\n```\n\n#### 1. Engagements\nDocumentation:\n* https://developers.liveperson.com/data-engagement-history-methods.html\n\nNote!\n* Will return 1 offset of data.\n\nArguments:\n\n* body: dict (Note: Check reference for details.)\n* offset: int (Default: 0)\n* limit: int (Default: 100)\n* sort: str (Default: None)\n\n```python\nbody = {'start': {'from': 1491004800000, 'to': 1491091199000}}\ndata = eh_conn.engagements(body)\n```\n\n#### 2. All Engagements\nDocumentation:\n* https://developers.liveperson.com/data-engagement-history-methods.html\n\nNote!\n* Will return all offsets of data as a list of engagements.\n\nArguments:\n* body: dict (Note: Check reference for details.)\n* max_workers: int (Max number of API requests at a time. Default:7)\n* debug: int (Status of API requests: 1=full, 2=summary, default=0)\n* parse_data: bool (Parses data and returns an Engagements data object. Default: False)\n\n```python\nbody = {'start': {'from': 1491004800000, 'to': 1491091199000}}\ndata = eh_conn.all_engagements(body)\n```\n\n\n## Agent Metrics API\nCreate Agent Metrics Connection.\n```python\nfrom lp_api_wrapper import AgentMetrics\nam_conn = AgentMetrics(auth=auth)\n```\n\n#### 1. Agent Status\nDocumentation:\n* https://developers.liveperson.com/data-messaging-interactions-methods-agent-status.html\n\nNote!\n* If all are left blank, this method will return all agents' status for the account.\n\nArguments:\n* status: List[str] (Default: None)\n* agent_ids: List[str] (Default: None)\n* skill_ids: List[str] (Default: None)\n* agent_group_ids: List[str] (Default: None)\n* agent_presence: bool (Default: None)\n* connection_states: List[str] (Default: None)\n\n```python\ndata = am_conn.agent_status(skill_ids=['1234', '5678'])\n```\n\n\n#### 2. Summary\nDocumentation:\n* https://developers.liveperson.com/data-messaging-interactions-methods-summary.html\n\nNote!\n* If all are left blank, this method will return the status for the account.\n\nArguments:\n* status: List[str] (Default: None)\n* agent_ids: List[str] (Default: None)\n* skill_ids: List[str] (Default: None)\n* agent_group_ids: List[str] (Default: None)\n\n```python\ndata = am_conn.summary()\n```\n\n\n## Messaging Operations API\nCreate Messaging Operations Connection.\n```python\nfrom lp_api_wrapper import MessagingOperations\nmo_conn = MessagingOperations(auth=auth)\n```\n\n#### 1. Messaging Conversation\nDocumentation:\n* https://developers.liveperson.com/data-messaging-operations-messaging-conversation.html\n\nArguments:\n* time_frame: int\n* skill_ids: str (Default: None)\n* agent_ids: str (Default: None)\n* interval: int (Default: None)\n* version: int (Default: 1)\n\n```python\ndata = mo_conn.messaging_conversation(time_frame=1440)\n```\n\n#### 2. Messaging Current Queue Health\nDocumentation\n* https://developers.liveperson.com/data-messaging-operations-messaging-current-queue-health.html\n\nArguments:\n* skill_ids: str (Default: None)\n* version: int (Default: 1)\n\n```python\ndata = mo_conn.messaging_current_queue_health()\n```\n\n#### 3. Messaging Queue Health\nDocumentation\n* https://developers.liveperson.com/data-messaging-operations-messaging-queue-health.html\n\nArguments:\n* time_frame: int\n* skill_ids: str (Default: None)\n* interval: int (Default: None)\n* version: int (Default: 1)\n\n```python\ndata = mo_conn.messaging_queue_health()\n```\n\n\n#### 4. Messaging CSAT Distribution\nDocumentation\n* https://developers.liveperson.com/data-messaging-operations-messaging-csat-distribution.html\n\nArguments:\n* time_frame: int\n* skill_ids: str (Default: None)\n* agent_ids: str (Default: None)\n* version: int (Default: 1)\n\n```python\ndata = mo_conn.messaging_csat_distribution(time_frame=1440)\n```\n\n\n#### 5. Messaging Estimated Wait Time\nDocumentation\n* https://developers.liveperson.com/data-messaging-operations-messaging-estimated-wait-time.html\n\nArguments:\n* skill_ids: str (Default: None)\n* version: int (Default: 1)\n\n```python\ndata = mo_conn.messaging_estimated_wait_time()\n```\n\n## Operational Realtime API\nCreate Operational Realtime Connection.\n```python\nfrom lp_api_wrapper import OperationalRealtime\nor_conn = OperationalRealtime(auth=auth)\n```\n\n#### 1. Queue Health\nDocumentation:\n* https://developers.liveperson.com/data-operational-realtime-queue-health.html\n\n\nArguments:\n* time_frame: int\n* skill_ids: str (Default: None)\n* interval: int (Default: None)\n* version: int (Default: 1)\n\n```python\ndata = or_conn.queue_health(time_frame=1440)\n```\n\n#### 2. Engagement Activity\nDocumentation:\n* https://developers.liveperson.com/data-operational-realtime-engagement-activity.html\n\nArguments:\n* time_frame: int\n* skill_ids: str (Default: None)\n* agent_ids: str (Default: None)\n* interval: int (Default: None)\n* version: int (Default: 1)\n\n```python\ndata = or_conn.engagement_activity(time_frame=1440)\n```\n\n#### 3. Agent Activity\nDocumentation:\n* https://developers.liveperson.com/data-operational-realtime-agent-activity.html\n\nArguments:\n* time_frame: int\n* agent_ids: str\n* interval: int (Default: None)\n* version: int (Default: 1)\n\n```python\ndata = or_conn.agent_activity(time_frame=1440, agent_ids='123, 456')\n```\n\n#### 4. Current Queue State\nDocumentation:\n* https://developers.liveperson.com/data-operational-realtime-current-queue-state.html\n\nArguments:\n* skill_ids: str (Default: None)\n* version: int (Default: 1)\n\n```python\ndata = or_conn.current_queue_state()\n```\n\n#### 5. SLA Histogram\nDocumentation:\n* https://developers.liveperson.com/data-operational-realtime-sla-histogram.html\n\nArguments:\n* time_frame: int\n* skill_ids: str (Default: None)\n* group_ids: str (Default: None)\n* histogram: str (Default: None)\n* version: int (Default: 1)\n\n```python\ndata = or_conn.sla_histogram(time_frame=1440)\n```\n\n## Predefined Content API\nCreate Predefined Content Connection.\n```python\nfrom lp_api_wrapper import PredefinedContent\npdc_conn = PredefinedContent(auth=auth)\n```\n\n#### 1. 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