commit
9f47515f59
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@ -23,7 +23,6 @@ from operator import attrgetter
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from operator import itemgetter
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import click
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import pandas as pd
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import trio
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import tractor
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@ -47,8 +46,10 @@ _watchlists_data_path = os.path.join(_config_dir, 'watchlists.json')
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@click.argument('kwargs', nargs=-1)
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@click.pass_obj
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def api(config, meth, kwargs, keys):
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"""Make a broker-client API method call
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"""
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'''
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Make a broker-client API method call
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'''
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# global opts
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broker = config['brokers'][0]
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@ -79,13 +80,13 @@ def api(config, meth, kwargs, keys):
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@cli.command()
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@click.option('--df-output', '-df', flag_value=True,
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help='Output in `pandas.DataFrame` format')
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@click.argument('tickers', nargs=-1, required=True)
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@click.pass_obj
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def quote(config, tickers, df_output):
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"""Print symbol quotes to the console
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"""
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def quote(config, tickers):
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'''
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Print symbol quotes to the console
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'''
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# global opts
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brokermod = config['brokermods'][0]
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@ -100,28 +101,19 @@ def quote(config, tickers, df_output):
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if ticker not in syms:
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brokermod.log.warn(f"Could not find symbol {ticker}?")
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if df_output:
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cols = next(filter(bool, quotes)).copy()
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cols.pop('symbol')
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df = pd.DataFrame(
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(quote or {} for quote in quotes),
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columns=cols,
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)
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click.echo(df)
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else:
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click.echo(colorize_json(quotes))
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@cli.command()
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@click.option('--df-output', '-df', flag_value=True,
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help='Output in `pandas.DataFrame` format')
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@click.option('--count', '-c', default=1000,
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help='Number of bars to retrieve')
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@click.argument('symbol', required=True)
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@click.pass_obj
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def bars(config, symbol, count, df_output):
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"""Retreive 1m bars for symbol and print on the console
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"""
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def bars(config, symbol, count):
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'''
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Retreive 1m bars for symbol and print on the console
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'''
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# global opts
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brokermod = config['brokermods'][0]
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@ -133,7 +125,7 @@ def bars(config, symbol, count, df_output):
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brokermod,
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symbol,
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count=count,
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as_np=df_output
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as_np=False,
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)
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)
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@ -141,9 +133,6 @@ def bars(config, symbol, count, df_output):
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log.error(f"No quotes could be found for {symbol}?")
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return
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if df_output:
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click.echo(pd.DataFrame(bars))
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else:
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click.echo(colorize_json(bars))
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@ -156,8 +145,10 @@ def bars(config, symbol, count, df_output):
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@click.argument('name', nargs=1, required=True)
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@click.pass_obj
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def record(config, rate, name, dhost, filename):
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"""Record client side quotes to a file on disk
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"""
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'''
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Record client side quotes to a file on disk
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'''
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# global opts
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brokermod = config['brokermods'][0]
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loglevel = config['loglevel']
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@ -195,8 +186,10 @@ def record(config, rate, name, dhost, filename):
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@click.argument('symbol', required=True)
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@click.pass_context
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def contracts(ctx, loglevel, broker, symbol, ids):
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"""Get list of all option contracts for symbol
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"""
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'''
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Get list of all option contracts for symbol
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'''
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brokermod = get_brokermod(broker)
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get_console_log(loglevel)
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@ -213,14 +206,14 @@ def contracts(ctx, loglevel, broker, symbol, ids):
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@cli.command()
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@click.option('--df-output', '-df', flag_value=True,
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help='Output in `pandas.DataFrame` format')
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@click.option('--date', '-d', help='Contracts expiry date')
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@click.argument('symbol', required=True)
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@click.pass_obj
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def optsquote(config, symbol, df_output, date):
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"""Retreive symbol option quotes on the console
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"""
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def optsquote(config, symbol, date):
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'''
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Retreive symbol option quotes on the console
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'''
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# global opts
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brokermod = config['brokermods'][0]
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@ -233,13 +226,6 @@ def optsquote(config, symbol, df_output, date):
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log.error(f"No option quotes could be found for {symbol}?")
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return
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if df_output:
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df = pd.DataFrame(
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(quote.values() for quote in quotes),
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columns=quotes[0].keys(),
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)
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click.echo(df)
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else:
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click.echo(colorize_json(quotes))
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@ -247,8 +233,10 @@ def optsquote(config, symbol, df_output, date):
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@click.argument('tickers', nargs=-1, required=True)
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@click.pass_obj
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def symbol_info(config, tickers):
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"""Print symbol quotes to the console
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"""
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'''
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Print symbol quotes to the console
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'''
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# global opts
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brokermod = config['brokermods'][0]
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@ -270,8 +258,10 @@ def symbol_info(config, tickers):
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@click.argument('pattern', required=True)
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@click.pass_obj
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def search(config, pattern):
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"""Search for symbols from broker backend(s).
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"""
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'''
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Search for symbols from broker backend(s).
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'''
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# global opts
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brokermods = config['brokermods']
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@ -35,7 +35,6 @@ import pendulum
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import trio
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import tractor
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from async_generator import asynccontextmanager
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import pandas as pd
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import numpy as np
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import wrapt
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import asks
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@ -669,7 +668,7 @@ def get_OHLCV(
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"""
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del bar['end']
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del bar['VWAP']
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bar['start'] = pd.Timestamp(bar['start']).value/10**9
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bar['start'] = pendulum.from_timestamp(bar['start']) / 10**9
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return tuple(bar.values())
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@ -40,7 +40,6 @@ from bidict import bidict
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import msgpack
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import pyqtgraph as pg
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import numpy as np
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import pandas as pd
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import tractor
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from trio_websocket import open_websocket_url
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from anyio_marketstore import (
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@ -268,7 +267,7 @@ def quote_to_marketstore_structarray(
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'''
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if last_fill:
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# new fill bby
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now = timestamp(last_fill)
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now = int(pendulum.parse(last_fill).timestamp)
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else:
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# this should get inserted upstream by the broker-client to
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# subtract from IPC latency
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@ -298,15 +297,6 @@ def quote_to_marketstore_structarray(
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return np.array([tuple(array_input)], dtype=_quote_dt)
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def timestamp(date, **kwargs) -> int:
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'''
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Return marketstore compatible 'Epoch' integer in nanoseconds
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from a date formatted str.
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'''
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return int(pd.Timestamp(date, **kwargs).value)
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@acm
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async def get_client(
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host: str = 'localhost',
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@ -19,10 +19,10 @@ Chart axes graphics and behavior.
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"""
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from functools import lru_cache
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from typing import List, Tuple, Optional, Callable
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from typing import Optional, Callable
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from math import floor
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import pandas as pd
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import numpy as np
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import pyqtgraph as pg
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from PyQt5 import QtCore, QtGui, QtWidgets
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from PyQt5.QtCore import QPointF
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@ -103,7 +103,7 @@ class Axis(pg.AxisItem):
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def size_to_values(self) -> None:
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pass
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def txt_offsets(self) -> Tuple[int, int]:
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def txt_offsets(self) -> tuple[int, int]:
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return tuple(self.style['tickTextOffset'])
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@ -218,9 +218,9 @@ class DynamicDateAxis(Axis):
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def _indexes_to_timestrs(
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self,
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indexes: List[int],
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indexes: list[int],
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) -> List[str]:
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) -> list[str]:
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chart = self.linkedsplits.chart
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bars = chart._arrays[chart.name]
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@ -241,10 +241,17 @@ class DynamicDateAxis(Axis):
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)]
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# TODO: **don't** have this hard coded shift to EST
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dts = pd.to_datetime(epochs, unit='s') # - 4*pd.offsets.Hour()
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# delay = times[-1] - times[-2]
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dts = np.array(epochs, dtype='datetime64[s]')
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delay = times[-1] - times[-2]
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return dts.strftime(self.tick_tpl[delay])
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# see units listing:
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# https://numpy.org/devdocs/reference/arrays.datetime.html#datetime-units
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return list(np.datetime_as_string(dts))
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# TODO: per timeframe formatting?
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# - we probably need this based on zoom now right?
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# prec = self.np_dt_precision[delay]
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# return dts.strftime(self.tick_tpl[delay])
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def tickStrings(
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self,
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@ -430,7 +437,7 @@ class XAxisLabel(AxisLabel):
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| QtCore.Qt.AlignCenter
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)
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def size_hint(self) -> Tuple[float, float]:
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def size_hint(self) -> tuple[float, float]:
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# size to parent axis height
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return self._parent.height(), None
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@ -444,11 +451,11 @@ class XAxisLabel(AxisLabel):
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timestrs = self._parent._indexes_to_timestrs([int(value)])
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if not timestrs.any():
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if not len(timestrs):
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return
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pad = 1*' '
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self.label_str = pad + timestrs[0] + pad
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self.label_str = pad + str(timestrs[0]) + pad
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_, y_offset = self._parent.txt_offsets()
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if getattr(self._parent, 'txt_offsets', False):
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self.x_offset, y_offset = self._parent.txt_offsets()
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def size_hint(self) -> Tuple[float, float]:
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def size_hint(self) -> tuple[float, float]:
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# size to parent axis width(-ish)
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wsh = self._dpifont.boundingRect(' ').height() / 2
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return (
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