%global _empty_manifest_terminate_build 0 Name: python-aio-kraken-ws Version: 0.3.9 Release: 1 Summary: Get ohlc from kraken web sockets. License: MIT License URL: https://gitlab.com/cdlr75/aio-kraken-ws Source0: https://mirrors.nju.edu.cn/pypi/web/packages/82/a8/35c0de20c11a1ab8f21c7c06e68ddcb4487b74535c7d7c168ac4fe6ad043/aio-kraken-ws-0.3.9.tar.gz BuildArch: noarch Requires: python3-websockets Requires: python3-asynctest Requires: python3-pycodestyle Requires: python3-pylint Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-xdist %description A module to collect ohlc candles from Kraken using WebSockets that is asyncio friendly! Looking for automated trading tools? [Botcrypto](https://botcrypto.io) may interest you. ## Key features - Subscribe to kraken data using a single WebSocket. - Trigger a callback that is coroutine on each new closed candles from kraken. - Easy subscribe/unsubscribe to datasets, i.e. [(pair, Unit Time)] ex: [('XBT/EUR', 1)]. - Callback is regularly triggered at each end of the UT intervals, whatever is the number of data received by kraken. ## Getting started #### Install `pip install aio-kraken-ws` #### Usage ```python # check tests/learning/log_to_file.py for a complete example async def callback(pair, interval, timestamp, o, h, l, c, v): """ A coroutine handling new candles. """ with open("candles.txt", "a+") as file: file.write(f"[{pair}:{interval}]({timestamp},{o},{h},{l},{c},{v})\n") kraken_ws = await KrakenWs.create(callback) # subscribe to some datasets kraken_ws.subscribe([("XBT/EUR", 1), ("ETH/EUR", 5)]) ``` The `callback` function is called for each dataset at the end of each dataset's unit time interval. E.g. if subscription start at 4h42.05 to the dataset `("XBT/EUR", 1)`, then callback is triggered at 4h43.00, at 4h44.00, at 4h45.00, etc... For `("XBT/EUR", 60)`, it would be at 5h00.00, at 6h00.00, etc... It's possible to get at most 10ms delay between the exact UT interval ending and the actual datetime of the call. If **no** new data were received from Kraken during an interval, the callback is triggered with the latest known close price and v=0, as it's described in the following example. E.g. ```python kraken_ws.subscribe([("XBT/EUR", 1)]) # time.time() = 120 await callback("XBT/EUR", 1, 60, 42.0, 57.0, 19.0, 24.0, 150.0) # time.time() = 180 await callback("XBT/EUR", 1, 120, 19.0, 24.0, 8.0, 10.0, 13.0) # time.time() = 240 : no data received in 60s, i.e. no activity await callback("XBT/EUR", 1, 180, 10.0, 10.0, 10.0, 10.0, 0.0) ``` ### Error management - An exception raised by the `callback` will be logged and it wont stop the streams - If kraken send an error message, an `ERROR` log is emitted with the kraken payload - If kraken send 'Subscription ohlc interval not supported', the related dataset is automatically unsubscribed #### Warning The `callback` should takes less than a minute to process. If the `callback` takes more than a minutes, a *warning* is emitted and you may lose market data. Kraken WebSocket server manage **20 subscriptions maximum** per connection. Above 20 subscriptions, you may not receive all desired data. **Hopfully, aio-kraken-ws manage this limitation for you!** A new websocket connection is open every 20 subscriptions. Moreover, after 24h a subscriptions seem to expire and no more market data is receive. To ensure we do not lose the stream of market data, **aio-kraken-ws** automatically reconnect and re-subscribe to the datasets every 5 minutes. ## Tests You can find a working example of KrakenWs in `tests/learning/log_to_file.py`. ### Run tests locally Clone the repo and install requirements ```sh pip install -e .[test] ``` Run the suite tests ```sh # unit tests - no call to kraken - fast pytest --cov=aio_kraken_ws --cov-report= -v tests/unit # integration tests - actual kraken subscription - slow pytest --cov=aio_kraken_ws --cov-append -v -n 8 tests/integration ``` ## Changelog See https://cdlr75.gitlab.io/aio-kraken-ws/CHANGELOG.html %package -n python3-aio-kraken-ws Summary: Get ohlc from kraken web sockets. Provides: python-aio-kraken-ws BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-aio-kraken-ws A module to collect ohlc candles from Kraken using WebSockets that is asyncio friendly! Looking for automated trading tools? [Botcrypto](https://botcrypto.io) may interest you. ## Key features - Subscribe to kraken data using a single WebSocket. - Trigger a callback that is coroutine on each new closed candles from kraken. - Easy subscribe/unsubscribe to datasets, i.e. [(pair, Unit Time)] ex: [('XBT/EUR', 1)]. - Callback is regularly triggered at each end of the UT intervals, whatever is the number of data received by kraken. ## Getting started #### Install `pip install aio-kraken-ws` #### Usage ```python # check tests/learning/log_to_file.py for a complete example async def callback(pair, interval, timestamp, o, h, l, c, v): """ A coroutine handling new candles. """ with open("candles.txt", "a+") as file: file.write(f"[{pair}:{interval}]({timestamp},{o},{h},{l},{c},{v})\n") kraken_ws = await KrakenWs.create(callback) # subscribe to some datasets kraken_ws.subscribe([("XBT/EUR", 1), ("ETH/EUR", 5)]) ``` The `callback` function is called for each dataset at the end of each dataset's unit time interval. E.g. if subscription start at 4h42.05 to the dataset `("XBT/EUR", 1)`, then callback is triggered at 4h43.00, at 4h44.00, at 4h45.00, etc... For `("XBT/EUR", 60)`, it would be at 5h00.00, at 6h00.00, etc... It's possible to get at most 10ms delay between the exact UT interval ending and the actual datetime of the call. If **no** new data were received from Kraken during an interval, the callback is triggered with the latest known close price and v=0, as it's described in the following example. E.g. ```python kraken_ws.subscribe([("XBT/EUR", 1)]) # time.time() = 120 await callback("XBT/EUR", 1, 60, 42.0, 57.0, 19.0, 24.0, 150.0) # time.time() = 180 await callback("XBT/EUR", 1, 120, 19.0, 24.0, 8.0, 10.0, 13.0) # time.time() = 240 : no data received in 60s, i.e. no activity await callback("XBT/EUR", 1, 180, 10.0, 10.0, 10.0, 10.0, 0.0) ``` ### Error management - An exception raised by the `callback` will be logged and it wont stop the streams - If kraken send an error message, an `ERROR` log is emitted with the kraken payload - If kraken send 'Subscription ohlc interval not supported', the related dataset is automatically unsubscribed #### Warning The `callback` should takes less than a minute to process. If the `callback` takes more than a minutes, a *warning* is emitted and you may lose market data. Kraken WebSocket server manage **20 subscriptions maximum** per connection. Above 20 subscriptions, you may not receive all desired data. **Hopfully, aio-kraken-ws manage this limitation for you!** A new websocket connection is open every 20 subscriptions. Moreover, after 24h a subscriptions seem to expire and no more market data is receive. To ensure we do not lose the stream of market data, **aio-kraken-ws** automatically reconnect and re-subscribe to the datasets every 5 minutes. ## Tests You can find a working example of KrakenWs in `tests/learning/log_to_file.py`. ### Run tests locally Clone the repo and install requirements ```sh pip install -e .[test] ``` Run the suite tests ```sh # unit tests - no call to kraken - fast pytest --cov=aio_kraken_ws --cov-report= -v tests/unit # integration tests - actual kraken subscription - slow pytest --cov=aio_kraken_ws --cov-append -v -n 8 tests/integration ``` ## Changelog See https://cdlr75.gitlab.io/aio-kraken-ws/CHANGELOG.html %package help Summary: Development documents and examples for aio-kraken-ws Provides: python3-aio-kraken-ws-doc %description help A module to collect ohlc candles from Kraken using WebSockets that is asyncio friendly! Looking for automated trading tools? [Botcrypto](https://botcrypto.io) may interest you. ## Key features - Subscribe to kraken data using a single WebSocket. - Trigger a callback that is coroutine on each new closed candles from kraken. - Easy subscribe/unsubscribe to datasets, i.e. [(pair, Unit Time)] ex: [('XBT/EUR', 1)]. - Callback is regularly triggered at each end of the UT intervals, whatever is the number of data received by kraken. ## Getting started #### Install `pip install aio-kraken-ws` #### Usage ```python # check tests/learning/log_to_file.py for a complete example async def callback(pair, interval, timestamp, o, h, l, c, v): """ A coroutine handling new candles. """ with open("candles.txt", "a+") as file: file.write(f"[{pair}:{interval}]({timestamp},{o},{h},{l},{c},{v})\n") kraken_ws = await KrakenWs.create(callback) # subscribe to some datasets kraken_ws.subscribe([("XBT/EUR", 1), ("ETH/EUR", 5)]) ``` The `callback` function is called for each dataset at the end of each dataset's unit time interval. E.g. if subscription start at 4h42.05 to the dataset `("XBT/EUR", 1)`, then callback is triggered at 4h43.00, at 4h44.00, at 4h45.00, etc... For `("XBT/EUR", 60)`, it would be at 5h00.00, at 6h00.00, etc... It's possible to get at most 10ms delay between the exact UT interval ending and the actual datetime of the call. If **no** new data were received from Kraken during an interval, the callback is triggered with the latest known close price and v=0, as it's described in the following example. E.g. ```python kraken_ws.subscribe([("XBT/EUR", 1)]) # time.time() = 120 await callback("XBT/EUR", 1, 60, 42.0, 57.0, 19.0, 24.0, 150.0) # time.time() = 180 await callback("XBT/EUR", 1, 120, 19.0, 24.0, 8.0, 10.0, 13.0) # time.time() = 240 : no data received in 60s, i.e. no activity await callback("XBT/EUR", 1, 180, 10.0, 10.0, 10.0, 10.0, 0.0) ``` ### Error management - An exception raised by the `callback` will be logged and it wont stop the streams - If kraken send an error message, an `ERROR` log is emitted with the kraken payload - If kraken send 'Subscription ohlc interval not supported', the related dataset is automatically unsubscribed #### Warning The `callback` should takes less than a minute to process. If the `callback` takes more than a minutes, a *warning* is emitted and you may lose market data. Kraken WebSocket server manage **20 subscriptions maximum** per connection. Above 20 subscriptions, you may not receive all desired data. **Hopfully, aio-kraken-ws manage this limitation for you!** A new websocket connection is open every 20 subscriptions. Moreover, after 24h a subscriptions seem to expire and no more market data is receive. To ensure we do not lose the stream of market data, **aio-kraken-ws** automatically reconnect and re-subscribe to the datasets every 5 minutes. ## Tests You can find a working example of KrakenWs in `tests/learning/log_to_file.py`. ### Run tests locally Clone the repo and install requirements ```sh pip install -e .[test] ``` Run the suite tests ```sh # unit tests - no call to kraken - fast pytest --cov=aio_kraken_ws --cov-report= -v tests/unit # integration tests - actual kraken subscription - slow pytest --cov=aio_kraken_ws --cov-append -v -n 8 tests/integration ``` ## Changelog See https://cdlr75.gitlab.io/aio-kraken-ws/CHANGELOG.html %prep %autosetup -n aio-kraken-ws-0.3.9 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-aio-kraken-ws -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu May 18 2023 Python_Bot - 0.3.9-1 - Package Spec generated