# Python wrapper for Chess.com Public API
<img alt="GitHub Workflow Status (event)" src="https://img.shields.io/github/actions/workflow/status/sarartur/chess.com/build_and_publish.yml?branch=master"> <img src="https://img.shields.io/readthedocs/chessdotcom"> <img src="https://img.shields.io/github/license/sarartur/chess.com"> <img alt="PyPI" src="https://img.shields.io/pypi/v/chess.com"> <img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/chess.com?color=007EC6"> <img src="https://img.shields.io/github/forks/sarartur/chess.com"> <img src="https://img.shields.io/github/stars/sarartur/chess.com">
---
Python wrapper for Chess.com API which provides public data from the chess.com website. All endpoints provided by Chess.com's API are available in the respectively named methods.
## Installation
**The package requires Python 3.8 or higher**.
Install latest version from [PyPI](https://pypi.org/project/chess.com/) ```pip install chess.com```
## Resources
* Documentation: [readthedocs.org](https://chesscom.readthedocs.io/)
* Published-Data API: [chess.com](https://www.chess.com/news/view/published-data-api)
## Usage
### Retrieving Data
All the functions return a `ChessDotComResponse` object. The data can be accessed in dictionary format or via attributes.
The package uses [aiohttp](https://docs.aiohttp.org/en/stable/) for asynchronous requests and [requests](https://requests.readthedocs.io/en/latest/) for synchronous requests to interact with the API.
#### Using client instance
``` python
from chessdotcom import ChessDotComClient
client = ChessDotComClient(user_agent = "My Python Application...")
response = client.get_player_profile("fabianocaruana")
response.player.name # 'Fabiano Caruana'
response.player.title # 'GM'
response.player.last_online_datetime # datetime.datetime(2024, 10, 25, 20, 8, 28)
response.player.joined_datetime # datetime.datetime(2013, 3, 17, 15, 14, 32)
# See readthedocs for full documentation of responses
# or access the source
response.json['player']['name'] # 'Fabiano Caruana'
```
#### Using functions
``` python
from chessdotcom import get_player_profile, Client
Client.request_config["headers"]["User-Agent"] = (
"My Python Application. "
"Contact me at email@example.com"
)
response = get_player_profile("fabianocaruana")
```
#### Asynchronous
``` python
from chessdotcom import ChessDotComClient
client = ChessDotComClient(user_agent = "My Python Application...", aio = True)
usernames = ["fabianocaruana", "GMHikaruOnTwitch", "MagnusCarlsen", "GarryKasparov"]
cors = [client.get_player_profile(name) for name in usernames]
async def gather_cors(cors):
return await asyncio.gather(*cors)
responses = asyncio.run(gather_cors(cors))
```
#### Managing Rate Limit
Every function accepts a `tts` parameter which controls the number of seconds the `Client` will wait before making the request. This is useful if running a lot of coroutines at once.
``` python
cors = [get_player_profile(name, tts = i / 10) for i, name in enumerate(usernames)]
```
The second method is to pass ```rate_limit_handler``` option to the client.
``` python
from chessdotcom import RateLimitHandler
client = ChessDotComClient(
rate_limit_handler = RateLimitHandler(tts = 4,retries = 2)
)
```
If the initial request gets rate limited the client will automatically retry the request **2 more times** with an interval of **4 seconds**.
## Reporting Issues
Chess.com API is subject to change. Smoke tests are ran daily to make sure the package is working correctly.
<img src="https://img.shields.io/github/actions/workflow/status/sarartur/chess.com/smoke_tests.yml?branch=master&label=smoke%20tests"> <img src="https://img.shields.io/github/issues/sarartur/chess.com">
Please open an [Issue](https://github.com/sarartur/chess.com/issues) if you spot any bugs.
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"description": "# Python wrapper for Chess.com Public API\n<img alt=\"GitHub Workflow Status (event)\" src=\"https://img.shields.io/github/actions/workflow/status/sarartur/chess.com/build_and_publish.yml?branch=master\"> <img src=\"https://img.shields.io/readthedocs/chessdotcom\"> <img src=\"https://img.shields.io/github/license/sarartur/chess.com\"> <img alt=\"PyPI\" src=\"https://img.shields.io/pypi/v/chess.com\"> <img alt=\"PyPI - Downloads\" src=\"https://img.shields.io/pypi/dm/chess.com?color=007EC6\"> <img src=\"https://img.shields.io/github/forks/sarartur/chess.com\"> <img src=\"https://img.shields.io/github/stars/sarartur/chess.com\">\n---\nPython wrapper for Chess.com API which provides public data from the chess.com website. All endpoints provided by Chess.com's API are available in the respectively named methods. \n## Installation \n**The package requires Python 3.8 or higher**.\n\nInstall latest version from [PyPI](https://pypi.org/project/chess.com/) ```pip install chess.com``` \n\n## Resources\n* Documentation: [readthedocs.org](https://chesscom.readthedocs.io/)\n* Published-Data API: [chess.com](https://www.chess.com/news/view/published-data-api)\n\n## Usage\n### Retrieving Data\nAll the functions return a `ChessDotComResponse` object. The data can be accessed in dictionary format or via attributes.\n\nThe package uses [aiohttp](https://docs.aiohttp.org/en/stable/) for asynchronous requests and [requests](https://requests.readthedocs.io/en/latest/) for synchronous requests to interact with the API. \n\n#### Using client instance\n\n``` python\nfrom chessdotcom import ChessDotComClient\n \nclient = ChessDotComClient(user_agent = \"My Python Application...\")\n\nresponse = client.get_player_profile(\"fabianocaruana\")\n\nresponse.player.name # 'Fabiano Caruana'\nresponse.player.title # 'GM'\nresponse.player.last_online_datetime # datetime.datetime(2024, 10, 25, 20, 8, 28)\nresponse.player.joined_datetime # datetime.datetime(2013, 3, 17, 15, 14, 32)\n# See readthedocs for full documentation of responses\n\n# or access the source\nresponse.json['player']['name'] # 'Fabiano Caruana'\n```\n\n#### Using functions\n\n``` python\nfrom chessdotcom import get_player_profile, Client\n \nClient.request_config[\"headers\"][\"User-Agent\"] = (\n \"My Python Application. \"\n \"Contact me at email@example.com\"\n)\nresponse = get_player_profile(\"fabianocaruana\")\n```\n\n#### Asynchronous \n``` python \nfrom chessdotcom import ChessDotComClient\n\nclient = ChessDotComClient(user_agent = \"My Python Application...\", aio = True)\n\nusernames = [\"fabianocaruana\", \"GMHikaruOnTwitch\", \"MagnusCarlsen\", \"GarryKasparov\"]\n\ncors = [client.get_player_profile(name) for name in usernames]\n\nasync def gather_cors(cors):\n return await asyncio.gather(*cors)\n\nresponses = asyncio.run(gather_cors(cors))\n\n```\n#### Managing Rate Limit\nEvery function accepts a `tts` parameter which controls the number of seconds the `Client` will wait before making the request. This is useful if running a lot of coroutines at once.\n \n ``` python \n cors = [get_player_profile(name, tts = i / 10) for i, name in enumerate(usernames)]\n```\nThe second method is to pass ```rate_limit_handler``` option to the client.\n\n``` python\nfrom chessdotcom import RateLimitHandler\n\nclient = ChessDotComClient(\n rate_limit_handler = RateLimitHandler(tts = 4,retries = 2)\n)\n```\nIf the initial request gets rate limited the client will automatically retry the request **2 more times** with an interval of **4 seconds**.\n\n## Reporting Issues\n\nChess.com API is subject to change. Smoke tests are ran daily to make sure the package is working correctly.\n\n<img src=\"https://img.shields.io/github/actions/workflow/status/sarartur/chess.com/smoke_tests.yml?branch=master&label=smoke%20tests\"> <img src=\"https://img.shields.io/github/issues/sarartur/chess.com\">\n\nPlease open an [Issue](https://github.com/sarartur/chess.com/issues) if you spot any bugs.\n",
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