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    "info": {
        "author": "HubSpot Dev Team, Jacobi Petrucciani",
        "author_email": "j@cobi.dev",
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        "classifiers": [
            "Programming Language :: Python :: 3",
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        "description": "[![PyPI\nversion](https://badge.fury.io/py/hubspot3.svg)](https://badge.fury.io/py/hubspot3)\n[![Code style:\nblack](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n[![Documentation\nStatus](https://readthedocs.org/projects/hubspot3/badge/?version=latest)](https://hubspot3.readthedocs.io/en/latest/?badge=latest)\n[![Python 3.6+\nsupported](https://img.shields.io/badge/python-3.6+-blue.svg)](https://www.python.org/downloads/release/python-360/)\n\nA python wrapper around HubSpot's APIs, _for python 3.6+_.\n\nBuilt initially around hapipy, but heavily modified.\n\nCheck out the [documentation\nhere](https://hubspot3.readthedocs.io/en/latest/)\\! (thanks readthedocs)\n\n# Quick start\n\n## Installation\n\n```bash\n# install hubspot3\npip install hubspot3\n```\n\n## Basic Usage\n\n```python\nfrom hubspot3 import Hubspot3\n\nAPI_KEY = \"your-api-key\"\n\nclient = Hubspot3(api_key=API_KEY)\n\n# all of the clients are accessible as attributes of the main Hubspot3 Client\ncontact = client.contacts.get_contact_by_email('testingapis@hubspot.com')\ncontact_id = contact['vid']\n\nall_companies = client.companies.get_all()\n\n# new usage limit functionality - keep track of your API calls\nclient.usage_limits\n# <Hubspot3UsageLimits: 28937/1000000 (0.028937%) [reset in 22157s, cached for 299s]>\n\nclient.usage_limits.calls_remaining\n# 971063\n```\n\n## Individual Clients\n\n```python\nfrom hubspot3.companies import CompaniesClient\n\nAPI_KEY = \"your-api-key\"\n\nclient = CompaniesClient(api_key=API_KEY)\n\nfor company in client.get_all():\n    print(company)\n```\n\n## Passing Params\n\n```python\nimport json\nfrom hubspot3.deals import DealsClient\n\ndeal_id = \"12345\"\nAPI_KEY = \"your_api_key\"\n\ndeals_client = DealsClient(api_key=API_KEY)\n\nparams = {\n    \"includePropertyVersions\": \"true\"\n}  # Note values are camelCase as they appear in the Hubspot Documentation!\n\ndeal_data = deals_client.get(deal_id, params=params)\nprint(json.dumps(deal_data))\n```\n\n## Command-line interface\n\nThere is also a command-line tool available. Install the extra\nrequirement for that tool via:\n\n```bash\npip install hubspot3[cli]\n```\n\nand you can use it as a command:\n\n```bash\nhubspot3 --help\n```\n\nSee the Sphinx documentation for more details and explanations.\n\n# Rate Limiting\n\nBe aware that this uses the HubSpot API directly, so you are subject to\nall of the [guidelines that HubSpot has in\nplace](https://developers.hubspot.com/apps/api_guidelines).\n\nat the time of writing, HubSpot has the following limits in place for\nAPI requests:\n\nFree & Starter:\n\n- 10 requests per second\n- 250,000 requests per day.\n\nProfessional & Enterprise:\n\n- 10 requests per second\n- 500,000 requests per day.\n\nThis daily limit resets at midnight based on the time zone setting of\nthe HubSpot account. There is also an additional addon you can purchase\nfor more requests.\n\n# Retrying API Calls\n\nBy default, hubspot3 will attempt to retry all API calls up to 2 times\nupon failure.\n\nIf you'd like to override this behavior, you can add a `number_retries`\nkeyword argument to any Client constructor, or to individual API calls.\n\n# Extending the BaseClient - thanks [@Guysoft](https://github.com/guysoft)\\!\n\nSome of the APIs are not yet complete\\! If you'd like to use an API that\nisn't yet in this repo, you can extend the BaseClient class\\!\n\n```python\nimport json\nfrom hubspot3.base import BaseClient\n\n\nPIPELINES_API_VERSION = \"1\"\n\n\nclass PipelineClient(BaseClient):\n    \"\"\"\n    Lets you extend to non-existing clients, this example extends pipelines\n    \"\"\"\n\n    def __init__(self, *args, **kwargs):\n        super(PipelineClient, self).__init__(*args, **kwargs)\n\n    def get_pipelines(self, **options):\n        params = {}\n\n        return self._call(\"pipelines\", method=\"GET\", params=params)\n\n    def _get_path(self, subpath):\n        return \"deals/v{}/{}\".format(\n            self.options.get(\"version\") or PIPELINES_API_VERSION, subpath\n        )\n\n\nif __name__ == \"__main__\":\n    API_KEY = \"your_api_key\"\n    a = PipelineClient(api_key=API_KEY)\n    print(json.dumps(a.get_pipelines()))\n```\n\n# Advanced oauth2 token storage - thanks [@sangaline](https://github.com/sangaline)\\!\n\nThis is an example of how you can use the `oauth2_token_getter` and `oauth2_token_setter` kwargs on the client to use custom storage (in this case redis) so that multiple clients can share the same access/refresh tokens generated by the oauth2 requests.\n\n```python\nimport aioredis\nfrom hubspot3 import Hubspot3\n\n\nredis_client = await aioredis.create_redis_pool(url, db=db, encoding='utf-8', timeout=10)\n\ndef oauth2_token_getter(token_type: str, client_id: str) -> str:\n    loop = asyncio.get_event_loop()\n    key = f'hubspot-oauth2-tokens:{token_type}:{client_id}'\n    return loop.run_until_complete(redis_client.get(key))\n\ndef oauth2_token_setter(token_type: str, client_id: str, token: str) -> None:\n    loop = asyncio.get_event_loop()\n    key = f'hubspot-oauth2-tokens:{token_type}:{client_id}'\n    # Token expiration is six hours, so match that when we store the tokens.\n    # See: https://developers.hubspot.com/docs/methods/oauth2/refresh-access-token\n    expire_in_seconds = 6 * 60 * 60\n    loop.run_until_complete(redis_client.set(key, token, expire=expire_in_seconds))\n\n# This client will share oauth2 credentials with other clients configured in the same way.\nhubspot3_client = Hubspot3(\n    access_token=access_token,\n    client_id=client_id,\n    client_secret=client_secret,\n    refresh_token=refresh_token,\n    oauth2_token_getter=oauth2_token_getter,\n    oauth2_token_setter=oauth2_token_setter,\n)\n```\n\n# Testing\n\nI'm currently working on rewriting many of the tests with\n[pytest](https://docs.pytest.org/en/latest/) to work against the public\nAPI and ensure that we get the correct type of mock data back. 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