Allow wl app to spawn a broker daemon in a subprocess
parent
90e8dd911c
commit
2973b40946
69
piker/cli.py
69
piker/cli.py
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@ -1,20 +1,23 @@
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"""
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"""
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Console interface to broker client/daemons.
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Console interface to broker client/daemons.
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"""
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"""
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from collections import defaultdict
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from functools import partial
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from functools import partial
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from importlib import import_module
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from importlib import import_module
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import os
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from multiprocessing import Process
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from collections import defaultdict
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import json
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import json
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import os
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import signal
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import time
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import click
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import click
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import trio
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import pandas as pd
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import pandas as pd
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import trio
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from .log import get_console_log, colorize_json, get_logger
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from . import watchlists as wl
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from . import watchlists as wl
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from .brokers import core, get_brokermod
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from .brokers import core, get_brokermod
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from .brokers.core import _daemon_main
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from .log import get_console_log, colorize_json, get_logger
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log = get_logger('cli')
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log = get_logger('cli')
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DEFAULT_BROKER = 'robinhood'
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DEFAULT_BROKER = 'robinhood'
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@ -36,15 +39,11 @@ def run(main, loglevel='info'):
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@click.command()
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@click.command()
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@click.option('--broker', '-b', default=DEFAULT_BROKER,
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help='Broker backend to use')
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@click.option('--loglevel', '-l', default='warning', help='Logging level')
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@click.option('--loglevel', '-l', default='warning', help='Logging level')
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def pikerd(broker, loglevel):
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def pikerd(loglevel):
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"""Spawn the piker daemon.
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"""Spawn the piker daemon.
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"""
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"""
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from piker.brokers.core import _daemon_main
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run(_daemon_main, loglevel)
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brokermod = get_brokermod(broker)
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run(partial(_daemon_main, brokermod), loglevel)
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@click.group()
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@click.group()
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@ -134,7 +133,53 @@ def watch(loglevel, broker, rate, name):
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brokermod = get_brokermod(broker)
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brokermod = get_brokermod(broker)
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watchlist_from_file = wl.ensure_watchlists(_watchlists_data_path)
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watchlist_from_file = wl.ensure_watchlists(_watchlists_data_path)
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watchlists = wl.merge_watchlist(watchlist_from_file, wl._builtins)
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watchlists = wl.merge_watchlist(watchlist_from_file, wl._builtins)
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trio.run(_async_main, name, watchlists[name], brokermod, rate)
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tickers = watchlists[name]
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# setup ticker stream
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from .brokers.core import Client
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async def main(timeout=1):
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async def subscribe(client):
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# initial request for symbols price streams
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await client.send((brokermod.name, tickers))
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client = Client(('127.0.0.1', 1616), subscribe)
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start = time.time()
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while True:
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try:
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await client.connect()
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break
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except OSError as oserr:
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log.info("Waiting on daemon to come up...")
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await trio.sleep(0.1)
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if time.time() - start > timeout:
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raise
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continue
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async with trio.open_nursery() as nursery:
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nursery.start_soon(
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_async_main, name, client, tickers,
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brokermod, rate
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)
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try:
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trio.run(main)
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except OSError as oserr:
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log.exception(oserr)
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answer = input(
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"\nWould you like to spawn a broker daemon locally? [Y/n]")
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if answer is not 'n':
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child = Process(
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target=run,
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args=(_daemon_main, loglevel),
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daemon=True,
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)
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child.daemon = True
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child.start()
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trio.run(main, 5)
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# trio dies with a keyboard interrupt
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os.kill(child.pid, signal.SIGINT)
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child.join()
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@cli.group()
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@cli.group()
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@ -382,20 +382,11 @@ async def run_kivy(root, nursery):
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nursery.cancel_scope.cancel() # cancel all other tasks that may be running
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nursery.cancel_scope.cancel() # cancel all other tasks that may be running
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async def _async_main(name, tickers, brokermod, rate):
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async def _async_main(name, client, tickers, brokermod, rate):
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'''Launch kivy app + all other related tasks.
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'''Launch kivy app + all other related tasks.
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This is started with cli command `piker watch`.
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This is started with cli command `piker watch`.
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'''
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'''
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# setup ticker stream
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from ..brokers.core import Client
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async def subscribe(client):
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# initial request for symbols price streams
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await client.send((brokermod.name, tickers))
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async with Client(('127.0.0.1', 1616), subscribe) as client:
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# get initial symbol data
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# get initial symbol data
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async with brokermod.get_client() as bclient:
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async with brokermod.get_client() as bclient:
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# get long term data including last days close price
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# get long term data including last days close price
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