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piker/piker/brokers/questrade.py

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# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Questrade API backend.
"""
from __future__ import annotations
import inspect
import time
from datetime import datetime
from functools import partial
import itertools
import configparser
from pprint import pformat
from typing import (
List, Tuple, Dict, Any, Iterator, NamedTuple,
AsyncGenerator,
Callable,
)
import pendulum
import trio
import tractor
from async_generator import asynccontextmanager
import numpy as np
import wrapt
import asks
from ..calc import humanize, percent_change
from .._cacheables import open_cached_client, async_lifo_cache
from .. import config
from ._util import resproc, BrokerError, SymbolNotFound
from ..log import get_logger, colorize_json, get_console_log
log = get_logger(__name__)
_use_practice_account = False
_refresh_token_ep = 'https://{}login.questrade.com/oauth2/'
_version = 'v1'
# stock queries/sec
# it seems 4 rps is best we can do total
_rate_limit = 4
_time_frames = {
'1m': 'OneMinute',
'2m': 'TwoMinutes',
'3m': 'ThreeMinutes',
'4m': 'FourMinutes',
'5m': 'FiveMinutes',
'10m': 'TenMinutes',
'15m': 'FifteenMinutes',
'20m': 'TwentyMinutes',
'30m': 'HalfHour',
'1h': 'OneHour',
'2h': 'TwoHours',
'4h': 'FourHours',
'D': 'OneDay',
'W': 'OneWeek',
'M': 'OneMonth',
'Y': 'OneYear',
}
class QuestradeError(Exception):
"Non-200 OK response code"
class ContractsKey(NamedTuple):
symbol: str
id: int
expiry: datetime
def refresh_token_on_err(tries=3):
"""`_API` method decorator which locks the client and refreshes tokens
before unlocking access to the API again.
QT's service end can't handle concurrent requests to multiple
endpoints reliably without choking up and confusing their interal
servers.
"""
@wrapt.decorator
async def wrapper(wrapped, api, args, kwargs):
assert inspect.iscoroutinefunction(wrapped)
client = api.client
if not client._has_access.is_set():
log.warning("Waiting on access lock")
await client._has_access.wait()
for i in range(1, tries):
try:
try:
client._request_not_in_progress = trio.Event()
return await wrapped(*args, **kwargs)
finally:
client._request_not_in_progress.set()
except (QuestradeError, BrokerError) as qterr:
if "Access token is invalid" not in str(qterr.args[0]):
raise
# TODO: this will crash when run from a sub-actor since
# STDIN can't be acquired (ONLY WITH MP). The right way
# to handle this is to make a request to the parent
# actor (i.e. spawner of this) to call this
# `client.ensure_access()` locally thus blocking until
# the user provides an API key on the "client side"
log.warning(f"Tokens are invalid refreshing try {i}..")
await client.ensure_access(force_refresh=True)
if i == tries - 1:
raise
return wrapper
class _API:
"""Questrade API endpoints exposed as methods and wrapped with an
http session.
"""
def __init__(
self,
client: Client,
):
self.client = client
self._sess: asks.Session = client._sess
@refresh_token_on_err()
async def _get(self, path: str, params=None) -> dict:
"""Get an endpoint "reliably" by ensuring access on failure.
"""
resp = await self._sess.get(path=f'/{path}', params=params)
return resproc(resp, log)
async def _new_auth_token(
self,
refresh_token: str,
) -> dict:
"""Request a new api authorization ``refresh_token``.
Gain api access using either a user provided or existing token.
See the instructions::
http://www.questrade.com/api/documentation/getting-started
http://www.questrade.com/api/documentation/security
"""
resp = await self._sess.get(
self.client._auth_ep + 'token',
params={'grant_type': 'refresh_token',
'refresh_token': refresh_token}
)
return resproc(resp, log)
async def _revoke_auth_token(
self,
practise: bool = False,
) -> None:
"""Revoke api access for the current token.
"""
token = self.access_data['refresh_token']
log.debug(f"Revoking token {token}")
resp = await asks.post(
self.client._auth_ep + 'revoke',
headers={'token': token}
)
return resp
# accounts end points
async def accounts(self) -> dict:
return await self._get('accounts')
async def time(self) -> dict:
return await self._get('time')
async def balances(self, id: str) -> dict:
return await self._get(f'accounts/{id}/balances')
async def postions(self, id: str) -> dict:
return await self._get(f'accounts/{id}/positions')
# market end points
async def markets(self) -> dict:
return await self._get('markets')
async def search(self, prefix: str) -> dict:
return await self._get(
'symbols/search', params={'prefix': prefix})
async def symbols(self, ids: str = '', names: str = '') -> dict:
log.debug(f"Symbol lookup for {ids or names}")
return await self._get(
'symbols', params={'ids': ids, 'names': names})
async def quotes(self, ids: str) -> dict:
quotes = (await self._get(
'markets/quotes', params={'ids': ids}))['quotes']
for quote in quotes:
quote['key'] = quote['symbol']
return quotes
async def candles(
self, symbol_id:
str, start: str,
end: str,
interval: str
) -> List[Dict[str, float]]:
"""Retrieve historical candles for provided date range.
"""
return (await self._get(
f'markets/candles/{symbol_id}',
params={'startTime': start, 'endTime': end, 'interval': interval},
))['candles']
async def option_contracts(self, symbol_id: str) -> dict:
"Retrieve all option contract API ids with expiry -> strike prices."
contracts = await self._get(f'symbols/{symbol_id}/options')
return contracts['optionChain']
@refresh_token_on_err()
async def option_quotes(
self,
contracts: Dict[ContractsKey, Dict[int, dict]] = {},
option_ids: List[int] = [], # if you don't want them all
) -> dict:
"""Retrieve option chain quotes for all option ids or by filter(s).
"""
filters = [
{
"underlyingId": int(symbol_id),
"expiryDate": str(expiry),
}
# every expiry per symbol id
for (symbol, symbol_id, expiry), bystrike in contracts.items()
]
resp = await self._sess.post(
path='/markets/quotes/options',
# XXX: b'{"code":1024,"message":"The size of the array requested
# is not valid: optionIds"}'
# ^ what I get when trying to use too many ids manually...
json={'filters': filters, 'optionIds': option_ids}
)
return resproc(resp, log)['optionQuotes']
class Client:
"""API client suitable for use as a long running broker daemon or
single api requests.
Provides a high-level api which wraps the underlying endpoint calls.
"""
def __init__(
self,
config: dict,
):
# use 2 connections per streaming endpoint (stocks, opts)
# TODO: when we have more then one account key then this should scale
# linearly with that.
self._sess = asks.Session(connections=4)
self.api = _API(self)
self._conf = config
self._is_practice = _use_practice_account or (
config['questrade'].get('is_practice', False)
)
self._auth_ep = _refresh_token_ep.format(
'practice' if self._is_practice else '')
self.access_data = {}
self._reload_config(config=config)
self._symbol_cache: Dict[str, int] = {}
self._optids2contractinfo = {}
self._contract2ids = {}
# for blocking during token refresh
self._has_access = trio.Event()
self._has_access.set()
self._request_not_in_progress = trio.Event()
self._request_not_in_progress.set()
self._mutex = trio.StrictFIFOLock()
def _reload_config(self, config=None, **kwargs):
if config:
self._conf = config
else:
self._conf, _ = get_config(**kwargs)
self.access_data = dict(self._conf['questrade'])
def write_config(self):
"""Save access creds to config file.
"""
self._conf['questrade'] = self.access_data
config.write(self._conf)
async def ensure_access(
self,
force_refresh: bool = False,
ask_user: bool = True,
) -> dict:
"""Acquire a new token set (``access_token`` and ``refresh_token``).
Checks if the locally cached (file system) ``access_token`` has expired
(based on a ``expires_at`` time stamp stored in the brokers.ini config)
expired (normally has a lifetime of 3 days). If ``false is set then
and refreshs token if necessary using the ``refresh_token``. If the
``refresh_token`` has expired a new one needs to be provided by the
user.
"""
# wait for ongoing requests to clear (API can't handle
# concurrent endpoint requests alongside a token refresh)
await self._request_not_in_progress.wait()
# block api access to tall other tasks
# XXX: this is limitation of the API when using a single
# token whereby their service can't handle concurrent requests
# to differnet end points (particularly the auth ep) which
# causes hangs and premature token invalidation issues.
self._has_access = trio.Event()
try:
# don't allow simultaneous token refresh requests
async with self._mutex:
access_token = self.access_data.get('access_token')
expires = float(self.access_data.get('expires_at', 0))
expires_stamp = datetime.fromtimestamp(
expires).strftime('%Y-%m-%d %H:%M:%S')
if not access_token or (
expires < time.time()
) or force_refresh:
log.info("Refreshing API tokens")
log.debug(
f"Refreshing access token {access_token} which expired"
f" at {expires_stamp}")
try:
data = await self.api._new_auth_token(
self.access_data['refresh_token'])
except BrokerError as qterr:
def get_err_msg(err):
# handle str and bytes...
msg = err.args[0]
return msg.decode() if msg.isascii() else msg
msg = get_err_msg(qterr)
if "We're making some changes" in msg:
# API service is down
raise QuestradeError("API is down for maintenance")
elif msg == 'Bad Request':
# likely config ``refresh_token`` is expired but
# may be updated in the config file via
# another actor
self._reload_config()
try:
data = await self.api._new_auth_token(
self.access_data['refresh_token'])
except BrokerError as qterr:
if get_err_msg(qterr) == 'Bad Request' and (
ask_user
):
# actually expired; get new from user
self._reload_config(force_from_user=True)
data = await self.api._new_auth_token(
self.access_data['refresh_token'])
else:
raise QuestradeError(qterr)
else:
raise qterr
self.access_data.update(data)
log.debug(f"Updated tokens:\n{data}")
# store an absolute access token expiry time
self.access_data['expires_at'] = time.time() + float(
data['expires_in'])
# write to config to disk
self.write_config()
else:
log.debug(
f"\nCurrent access token {access_token} expires at"
f" {expires_stamp}\n")
# set access token header for the session
data = self.access_data
self._sess.headers.update({
'Authorization':
(f"{data['token_type']} {data['access_token']}")}
)
# set base API url (asks shorthand)
self._sess.base_location = data['api_server'] + _version
finally:
self._has_access.set()
return data
async def tickers2ids(
self,
tickers: Iterator[str]
) -> Dict[str, int]:
"""Helper routine that take a sequence of ticker symbols and returns
their corresponding QT numeric symbol ids.
Cache any symbol to id lookups for later use.
"""
cache = self._symbol_cache
symbols2ids = {}
for symbol in tickers:
id = cache.get(symbol)
if id is not None:
symbols2ids[symbol] = id
# still missing uncached values - hit the api server
to_lookup = list(set(tickers) - set(symbols2ids))
if to_lookup:
data = await self.api.symbols(names=','.join(to_lookup))
for symbol in data['symbols']:
name = symbol['symbol']
cache[name] = symbols2ids[name] = str(symbol['symbolId'])
return symbols2ids
async def symbol_info(self, symbols: List[str]):
"""Return symbol data for ``symbols``.
"""
t2ids = await self.tickers2ids(symbols)
ids = ','.join(t2ids.values())
symbols = {}
for pkt in (await self.api.symbols(ids=ids))['symbols']:
symbols[pkt['symbol']] = pkt
return symbols
# TODO: deprecate
symbol_data = symbol_info
async def quote(self, tickers: [str]):
"""Return stock quotes for each ticker in ``tickers``.
"""
t2ids = await self.tickers2ids(tickers)
quotes = []
if t2ids:
ids = ','.join(t2ids.values())
quotes = (await self.api.quotes(ids=ids))
return quotes
async def symbol2contracts(
self,
symbol: str
) -> Dict[Tuple[str, int, datetime], dict]:
"""Return option contract for the given symbol.
The most useful part is the expiries which can be passed to the option
chain endpoint but specifc contract ids can be pulled here as well.
"""
id = int((await self.tickers2ids([symbol]))[symbol])
contracts = await self.api.option_contracts(id)
return {
ContractsKey(
symbol=symbol,
id=id,
# convert to native datetime objs for sorting
expiry=datetime.fromisoformat(item['expiryDate'])):
item for item in contracts
}
async def get_all_contracts(
self,
symbols: Iterator[str],
# {symbol_id: {dt_iso_contract: {strike_price: {contract_id: id}}}}
) -> Dict[int, Dict[str, Dict[int, Any]]]:
"""Look up all contracts for each symbol in ``symbols`` and return the
of symbol ids to contracts by further organized by expiry and strike
price.
This routine is a bit slow doing all the contract lookups (a request
per symbol) and thus the return values should be cached for use with
``option_chains()``.
"""
by_key = {}
for symbol in symbols:
contracts = await self.symbol2contracts(symbol)
# FIXME: chainPerRoot here is probably why in some UIs
# you see a second chain with a (1) suffixed; should
# probably handle this eventually.
for key, byroot in sorted(
# sort by datetime
contracts.items(),
key=lambda item: item[0].expiry
):
for chain in byroot['chainPerRoot']:
optroot = chain['optionRoot']
# handle QTs "adjusted contracts" (aka adjusted for
# the underlying in some way; usually has a '(1)' in
# the expiry key in their UI)
adjusted_contracts = optroot not in key.symbol
tail = optroot[len(key.symbol):]
suffix = '-' + tail if adjusted_contracts else ''
by_key[
ContractsKey(
key.symbol + suffix,
key.id,
# converting back - maybe just do this initially?
key.expiry.isoformat(timespec='microseconds'),
)
] = {
item['strikePrice']: item for item in
chain['chainPerStrikePrice']
}
# fill out contract id to strike expiry map
for tup, bystrikes in by_key.items():
for strike, ids in bystrikes.items():
for key, contract_type in (
('callSymbolId', 'call'), ('putSymbolId', 'put')
):
contract_int_id = ids[key]
self._optids2contractinfo[contract_int_id] = {
'strike': strike,
'expiry': tup.expiry,
'contract_type': contract_type,
'contract_key': tup,
}
# store ids per contract
self._contract2ids.setdefault(
tup, set()).add(contract_int_id)
return by_key
async def option_chains(
self,
# see dict output from ``get_all_contracts()``
contracts: dict,
) -> Dict[str, Dict[str, Dict[str, Any]]]:
"""Return option chain snap quote for each ticker in ``symbols``.
"""
quotes = await self.api.option_quotes(contracts=contracts)
# XXX the below doesn't work so well due to the symbol count
# limit per quote request
# quotes = await self.api.option_quotes(option_ids=list(contract_ids))
for quote in quotes:
id = quote['symbolId']
contract_info = self._optids2contractinfo[id].copy()
key = contract_info.pop('contract_key')
# XXX TODO: this currently doesn't handle adjusted contracts
# (i.e. ones that we stick a '(1)' after)
# index by .symbol, .expiry since that's what
# a subscriber (currently) sends initially
quote['key'] = (key.symbol, key.expiry)
# update with expiry and strike (Obviously the
# QT api designers are using some kind of severely
# stupid disparate table system where they keep
# contract info in a separate table from the quote format
# keys. I'm really not surprised though - windows shop..)
# quote.update(self._optids2contractinfo[quote['symbolId']])
quote.update(contract_info)
return quotes
async def bars(
self,
symbol: str,
# EST in ISO 8601 format is required... below is EPOCH
start_date: str = "1970-01-01T00:00:00.000000-05:00",
time_frame: str = '1m',
count: float = 20e3,
is_paid_feed: bool = False,
) -> List[Dict[str, Any]]:
"""Retreive OHLCV bars for a symbol over a range to the present.
.. note::
The candles endpoint only allows "2000" points per query
however tests here show that it is 20k candles per query.
"""
# fix case
if symbol.islower():
symbol = symbol.swapcase()
sids = await self.tickers2ids([symbol])
if not sids:
raise SymbolNotFound(symbol)
sid = sids[symbol]
# get last market open end time
est_end = now = pendulum.now('UTC').in_timezoe(
'America/New_York').start_of('minute')
# on non-paid feeds we can't retreive the first 15 mins
wd = now.isoweekday()
if wd > 5:
quotes = await self.quote([symbol])
est_end = pendulum.parse(
quotes[0]['lastTradeTime']
)
if est_end.hour == 0:
# XXX don't bother figuring out extended hours for now
est_end = est_end.replace(hour=17)
if not is_paid_feed:
est_end = est_end.shift(minutes=-15)
est_start = est_end.shift(minutes=-count)
start = time.time()
bars = await self.api.candles(
sid,
start=est_start.isoformat(),
end=est_end.isoformat(),
interval=_time_frames[time_frame],
)
log.debug(
f"Took {time.time() - start} seconds to retreive {len(bars)} bars")
return bars
async def search_symbols(
self,
pattern: str,
# how many contracts to return
upto: int = 10,
) -> Dict[str, str]:
details = {}
results = await self.api.search(prefix=pattern)
for result in results['symbols']:
sym = result['symbol']
if '.' not in sym:
sym = f"{sym}.{result['listingExchange']}"
details[sym] = result
if len(details) == upto:
return details
# marketstore TSD compatible numpy dtype for bar
_qt_bars_dt = [
('Epoch', 'i8'),
# ('start', 'S40'),
# ('end', 'S40'),
('low', 'f4'),
('high', 'f4'),
('open', 'f4'),
('close', 'f4'),
('volume', 'i8'),
# ('VWAP', 'f4')
]
def get_OHLCV(
bar: Dict[str, Any]
) -> Tuple[str, Any]:
"""Return a marketstore key-compatible OHCLV dictionary.
"""
del bar['end']
del bar['VWAP']
bar['start'] = pendulum.from_timestamp(bar['start']) / 10**9
return tuple(bar.values())
def bars_to_marketstore_structarray(
bars: List[Dict[str, Any]]
) -> np.array:
"""Return marketstore writeable recarray from sequence of bars
retrieved via the ``candles`` endpoint.
"""
return np.array(list(map(get_OHLCV, bars)), dtype=_qt_bars_dt)
async def token_refresher(client):
"""Coninually refresh the ``access_token`` near its expiry time.
"""
while True:
await trio.sleep(
float(client.access_data['expires_at']) - time.time() - .1)
await client.ensure_access(force_refresh=True)
def _token_from_user(conf: 'configparser.ConfigParser') -> None:
"""Get API token from the user on the console.
"""
refresh_token = input("Please provide your Questrade access token: ")
conf['questrade'] = {'refresh_token': refresh_token}
def get_config(
config_path: str = None,
force_from_user: bool = False,
ask_user_on_failure: bool = False,
) -> "configparser.ConfigParser":
"""Load the broker config from disk.
By default this is the file:
~/.config/piker/brokers.ini
though may be different depending on your OS.
"""
log.debug("Reloading access config data")
conf, path = config.load(config_path)
# check if the current config has a token
section = conf.get('questrade')
has_token = section.get('refresh_token') if section else False
if force_from_user or ask_user_on_failure and not (section or has_token):
log.warn("Forcing manual token auth from user")
_token_from_user(conf)
else:
if not section:
raise ValueError(f"No `questrade` section found in {path}")
if not has_token:
raise ValueError(f"No refresh token found in {path}")
return conf, path
@asynccontextmanager
async def get_client(
config_path: str = None,
ask_user: bool = True
) -> Client:
"""Spawn a broker client for making requests to the API service.
"""
conf, path = get_config(config_path, ask_user_on_failure=ask_user)
log.debug(f"Loaded config:\n{colorize_json(dict(conf['questrade']))}")
client = Client(conf)
await client.ensure_access(ask_user=ask_user)
try:
log.debug("Check time to ensure access token is valid")
# XXX: the `time()` end point requires acc_read Oauth access.
# In order to use a client you need at least one key with this
# access enabled in order to do symbol searches and id lookups.
await client.api.time()
except Exception:
raise
# access token is likely no good
log.warn(f"Access tokens {client.access_data} seem"
f" expired, forcing refresh")
await client.ensure_access(force_refresh=True, ask_user=ask_user)
await client.api.time()
try:
yield client
except trio.Cancelled:
# only write config if we didn't bail out
client.write_config()
raise
async def stock_quoter(client: Client, tickers: List[str]):
"""Stock quoter context.
Yeah so fun times..QT has this symbol to ``int`` id lookup system that you
have to use to get any quotes. That means we try to be smart and maintain
a cache of this map lazily as requests from in for new tickers/symbols.
Most of the closure variables here are to deal with that.
"""
@async_lifo_cache(maxsize=128)
async def get_symbol_id_seq(symbols: Tuple[str]):
"""For each tuple ``(symbol_1, symbol_2, ... , symbol_n)``
return a symbol id sequence string ``'id_1,id_2, ... , id_n'``.
"""
return ','.join(map(str, (await client.tickers2ids(symbols)).values()))
async def get_quote(tickers):
"""Query for quotes using cached symbol ids.
"""
if not tickers:
# don't hit the network
return {}
ids = await get_symbol_id_seq(tuple(tickers))
quotes_resp = await client.api.quotes(ids=ids)
# post-processing
for quote in quotes_resp:
if quote.get('delay', 0) > 0:
log.warn(f"Delayed quote:\n{quote}")
return quotes_resp
return get_quote
async def option_quoter(client: Client, tickers: List[str]):
"""Option quoter context.
"""
# sanity
if isinstance(tickers[0], tuple):
datetime.fromisoformat(tickers[0][1])
else:
raise ValueError('Option subscription format is (symbol, expiry)')
@async_lifo_cache(maxsize=128)
async def get_contract_by_date(
sym_date_pairs: Tuple[Tuple[str, str]],
):
"""For each tuple,
``(symbol_date_1, symbol_date_2, ... , symbol_date_n)``
return a contract dict.
"""
symbols, dates = zip(*sym_date_pairs)
contracts = await client.get_all_contracts(symbols)
selected = {}
for key, val in contracts.items():
if key.expiry in dates:
selected[key] = val
return selected
async def get_quote(symbol_date_pairs):
"""Query for quotes using cached symbol ids.
"""
contracts = await get_contract_by_date(
tuple(symbol_date_pairs))
return await client.option_chains(contracts)
return get_quote
# Questrade column order / value conversion
# XXX: keys-values in this map define the final column values which will
# be "displayable" but not necessarily used for "data processing"
# (i.e. comparisons for sorting purposes or other calculations).
_qt_stock_keys = {
'symbol': 'symbol', # done manually in qtconvert
'%': '%',
'lastTradePrice': 'last',
'askPrice': 'ask',
'bidPrice': 'bid',
'lastTradeSize': 'size',
'bidSize': 'bsize',
'askSize': 'asize',
'VWAP': ('VWAP', partial(round, ndigits=3)),
'MC': ('MC', humanize),
'$ vol': ('$ vol', humanize),
'volume': ('volume', humanize),
# 'close': 'close',
# 'openPrice': 'open',
'lowPrice': 'low',
'highPrice': 'high',
# 'low52w': 'low52w', # put in info widget
# 'high52w': 'high52w',
# "lastTradePriceTrHrs": 7.99,
# 'lastTradeTime': ('fill_time', datetime.fromisoformat),
'lastTradeTime': 'fill_time',
"lastTradeTick": 'tick', # ("Equal", "Up", "Down")
# "symbolId": 3575753,
# "tier": "",
# 'isHalted': 'halted', # as subscript 'h'
# 'delay': 'delay', # as subscript 'p'
}
# BidAskLayout columns which will contain three cells the first stacked on top
# of the other 2 (this is a UI layout instruction)
_stock_bidasks = {
'last': ['bid', 'ask'],
'size': ['bsize', 'asize'],
'VWAP': ['low', 'high'],
'volume': ['MC', '$ vol'],
}
def format_stock_quote(
quote: dict,
symbol_data: dict,
keymap: dict = _qt_stock_keys,
) -> Tuple[dict, dict]:
"""Remap a list of quote dicts ``quotes`` using the mapping of old keys
-> new keys ``keymap`` returning 2 dicts: one with raw data and the other
for display.
Returns 2 dicts: first is the original values mapped by new keys,
and the second is the same but with all values converted to a
"display-friendly" string format.
"""
symbol = quote['symbol']
previous = symbol_data[symbol]['prevDayClosePrice']
computed = {'symbol': symbol}
last = quote.get('lastTradePrice')
if last:
change = percent_change(previous, last)
share_count = symbol_data[symbol].get('outstandingShares', None)
mktcap = share_count * last if (last and share_count) else 0
computed.update({
# 'symbol': quote['symbol'],
'%': round(change, 3),
'MC': mktcap,
# why questrade do you have to be shipping null values!!!
# '$ vol': round((quote['VWAP'] or 0) * (quote['volume'] or 0), 3),
'close': previous,
})
vwap = quote.get('VWAP')
volume = quote.get('volume')
if volume is not None: # could be 0
# why questrade do you have to be an asshole shipping null values!!!
computed['$ vol'] = round((vwap or 0) * (volume or 0), 3)
new = {}
displayable = {}
for key, value in itertools.chain(quote.items(), computed.items()):
new_key = keymap.get(key)
if not new_key:
continue
# API servers can return `None` vals when markets are closed (weekend)
value = 0 if value is None else value
display_value = value
# convert values to a displayble format using available formatting func
if isinstance(new_key, tuple):
new_key, func = new_key
display_value = func(value) if value else value
new[new_key] = value
displayable[new_key] = display_value
new['displayable'] = displayable
return new, displayable
_qt_option_keys = {
"lastTradePrice": 'last',
"askPrice": 'ask',
"bidPrice": 'bid',
"lastTradeSize": 'size',
"bidSize": 'bsize',
"askSize": 'asize',
'VWAP': ('VWAP', partial(round, ndigits=3)),
"lowPrice": 'low',
"highPrice": 'high',
# "expiry": "expiry",
# "delay": 0,
"delta": ('delta', partial(round, ndigits=3)),
# "gamma": ('gama', partial(round, ndigits=3)),
# "rho": ('rho', partial(round, ndigits=3)),
# "theta": ('theta', partial(round, ndigits=3)),
# "vega": ('vega', partial(round, ndigits=3)),
'$ vol': ('$ vol', humanize),
# XXX: required key to trigger trade execution datum msg
'volume': ('volume', humanize),
# "2021-01-15T00:00:00.000000-05:00",
# "isHalted": false,
# "key": [
# "APHA.TO",
# "2021-01-15T00:00:00.000000-05:00"
# ],
# "lastTradePriceTrHrs": null,
# "lastTradeTick": 'tick',
"lastTradeTime": 'time',
"openInterest": 'oi',
"openPrice": 'open',
# "strike": 'strike',
# "symbol": "APHA15Jan21P8.00.MX",
# "symbolId": 23881868,
# "underlying": "APHA.TO",
# "underlyingId": 8297492,
"symbol": 'symbol',
"contract_type": 'contract_type',
"volatility": (
'IV %',
lambda v: '{}'.format(round(v, ndigits=2))
),
"strike": 'strike',
}
_option_bidasks = {
'last': ['bid', 'ask'],
'size': ['bsize', 'asize'],
'VWAP': ['low', 'high'],
'vol': ['oi', '$ vol'],
}
def format_option_quote(
quote: dict,
symbol_data: dict,
keymap: dict = _qt_option_keys,
include_displayables: bool = True,
) -> Tuple[dict, dict]:
"""Remap a list of quote dicts ``quotes`` using the mapping of old keys
-> new keys ``keymap`` returning 2 dicts: one with raw data and the other
for display.
Returns 2 dicts: first is the original values mapped by new keys,
and the second is the same but with all values converted to a
"display-friendly" string format.
"""
# TODO: need historical data..
# (cause why would questrade keep their quote structure consistent across
# assets..)
# previous = symbol_data[symbol]['prevDayClosePrice']
# change = percent_change(previous, last)
computed = {
# why QT do you have to be an asshole shipping null values!!!
# '$ vol': round((quote['VWAP'] or 0) * (quote['volume'] or 0), 3),
# '%': round(change, 3),
# 'close': previous,
}
new = {}
displayable = {}
vwap = quote.get('VWAP')
volume = quote.get('volume')
if volume is not None: # could be 0
# why questrade do you have to be an asshole shipping null values!!!
computed['$ vol'] = round((vwap or 0) * (volume or 0), 3)
# structuring and normalization
for key, new_key in keymap.items():
display_value = value = computed.get(key) or quote.get(key)
# API servers can return `None` vals when markets are closed (weekend)
value = 0 if value is None else value
# convert values to a displayble format using available formatting func
if isinstance(new_key, tuple):
new_key, func = new_key
display_value = func(value) if value else value
new[new_key] = value
displayable[new_key] = display_value
return new, displayable
async def smoke_quote(
get_quotes,
tickers
):
"""Do an initial "smoke" request for symbols in ``tickers`` filtering
out any symbols not supported by the broker queried in the call to
``get_quotes()``.
"""
from operator import itemgetter
# TODO: trim out with #37
#################################################
# get a single quote filtering out any bad tickers
# NOTE: this code is always run for every new client
# subscription even when a broker quoter task is already running
# since the new client needs to know what symbols are accepted
log.warn(f"Retrieving smoke quote for symbols {tickers}")
quotes = await get_quotes(tickers)
# report any tickers that aren't returned in the first quote
invalid_tickers = set(tickers) - set(map(itemgetter('key'), quotes))
for symbol in invalid_tickers:
tickers.remove(symbol)
log.warn(
f"Symbol `{symbol}` not found") # by broker `{broker}`"
# )
# pop any tickers that return "empty" quotes
payload = {}
for quote in quotes:
symbol = quote['symbol']
if quote is None:
log.warn(
f"Symbol `{symbol}` not found")
# XXX: not this mutates the input list (for now)
tickers.remove(symbol)
continue
# report any unknown/invalid symbols (QT specific)
if quote.get('low52w', False) is None:
log.error(
f"{symbol} seems to be defunct")
quote['symbol'] = symbol
payload[symbol] = quote
return payload
# end of section to be trimmed out with #37
###########################################
# unbounded, shared between streaming tasks
_symbol_info_cache = {}
# function to format packets delivered to subscribers
def packetizer(
topic: str,
quotes: Dict[str, Any],
) -> Dict[str, Any]:
"""Normalize quotes by name into dicts using broker-specific
processing.
"""
# repack into symbol keyed dict
return {q['symbol']: q for q in quotes}
def normalize(
quotes: Dict[str, Any],
_cache: Dict[str, Any], # dict held in scope of the streaming loop
formatter: Callable,
) -> Dict[str, Any]:
"""Deliver normalized quotes by name into dicts using
broker-specific processing; only emit changes differeing from the
last quote sample creating a psuedo-tick type datum.
"""
new = {}
# XXX: this is effectively emitting "sampled ticks"
# useful for polling setups but obviously should be
# disabled if you're already rx-ing per-tick data.
for quote in quotes:
symbol = quote['symbol']
# look up last quote from cache
last = _cache.setdefault(symbol, {})
_cache[symbol] = quote
# compute volume difference
last_volume = last.get('volume', 0)
current_volume = quote['volume']
volume_diff = current_volume - last_volume
# find all keys that have match to a new value compared
# to the last quote received
changed = set(quote.items()) - set(last.items())
if changed:
log.info(f"New quote {symbol}:\n{changed}")
# TODO: can we reduce the # of iterations here and in
# called funcs?
payload = {k: quote[k] for k, v in changed}
payload['symbol'] = symbol # required by formatter
# TODO: we should probaby do the "computed" fields
# processing found inside this func in a downstream actor?
fquote, _ = formatter(payload, _symbol_info_cache)
fquote['key'] = fquote['symbol'] = symbol
# if there was volume likely the last size of
# shares traded is useful info and it's possible
# that the set difference from above will disregard
# a "size" value since the same # of shares were traded
# volume = payload.get('volume')
if volume_diff:
if volume_diff < 0:
log.error(f"Uhhh {symbol} volume: {volume_diff} ?")
fquote['volume_delta'] = volume_diff
# TODO: We can emit 2 ticks here:
# - one for the volume differential
# - one for the last known trade size
# The first in theory can be unwound and
# interpolated assuming the broker passes an
# accurate daily VWAP value.
# To make this work we need a universal ``size``
# field that is normalized before hitting this logic.
fquote['size'] = quote.get('lastTradeSize', 0)
if 'last' not in fquote:
fquote['last'] = quote.get('lastTradePrice', float('nan'))
new[symbol] = fquote
if new:
log.info(f"New quotes:\n{pformat(new)}")
return new
# TODO: currently this backend uses entirely different
# data feed machinery that was written earlier then the
# existing stuff used in other backends. This needs to
# be ported eventually and should *just work* despite
# being a multi-symbol, poll-style feed system.
@tractor.stream
async def stream_quotes(
ctx: tractor.Context, # marks this as a streaming func
symbols: List[str],
feed_type: str = 'stock',
rate: int = 3,
loglevel: str = None,
# feed_type: str = 'stock',
) -> AsyncGenerator[str, Dict[str, Any]]:
# XXX: required to propagate ``tractor`` loglevel to piker logging
get_console_log(loglevel)
async with open_cached_client('questrade') as client:
if feed_type == 'stock':
formatter = format_stock_quote
get_quotes = await stock_quoter(client, symbols)
# do a smoke quote (note this mutates the input list and filters
# out bad symbols for now)
first_quotes = await smoke_quote(get_quotes, list(symbols))
else:
formatter = format_option_quote
get_quotes = await option_quoter(client, symbols)
# packetize
first_quotes = {
quote['symbol']: quote
for quote in await get_quotes(symbols)
}
# update global symbol data state
sd = await client.symbol_info(symbols)
_symbol_info_cache.update(sd)
# pre-process first set of quotes
payload = {}
for sym, quote in first_quotes.items():
fquote, _ = formatter(quote, sd)
payload[sym] = fquote
# push initial smoke quote response for client initialization
await ctx.send_yield(payload)
from .data import stream_poll_requests
await stream_poll_requests(
# ``msg.pub`` required kwargs
task_name=feed_type,
ctx=ctx,
topics=symbols,
packetizer=packetizer,
# actual target "streaming func" args
get_quotes=get_quotes,
normalizer=partial(normalize, formatter=formatter),
rate=rate,
)
log.info("Terminating stream quoter task")
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