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Finally get real-time pp updates workin for `kraken` 

This ended up driving the rework of the `piker.pp` apis to use context
manager + table style which resulted in a much easier to follow
state/update system B). Also added is a flag to do a manual simulation
of a "fill triggered rt pp msg" which requires the user to delete the
last ledgered trade entry from config files and then allowing that trade
to emit through the `openOrders` sub and update client shortly after
order mode boot; this is how the rt updates were verified to work
without doing even more live orders 😂.

Patch details:
- open both `open_trade_ledger()` and `open_pps()` inside the trade
  dialog startup and conduct a "pp state sync" logic phase where we now
  pull the account balances and incrementally load pp data (in order,
  from `pps.toml`, ledger, api) until we can generate the asset balance
  by reverse incrementing through trade history eventually erroring out
  if we can't reproduce the balance value.
- rework the `trade2pps()` to take in the `PpTable` and generate new
  ems msgs from table updates.
- return the new `dict[str, Transaction]` expected from
  `norm_trade_records()`
- only update pp config and ledger on dialog exit.
kraken_ws_orders
Tyler Goodlet 2022-07-19 08:43:33 -04:00
parent 54008a1976
commit 3b79743c7b
1 changed files with 294 additions and 168 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

346
piker/brokers/kraken/broker.py
View File

@ -24,13 +24,14 @@ from contextlib import (
contextmanager as cm,
)
from functools import partial
import itertools
from itertools import count
import math
from pprint import pformat
import time
from typing import (
Any,
AsyncIterator,
# Optional,
Union,
)
@ -41,7 +42,14 @@ import trio
import tractor
import wsproto
from piker import pp
from piker.pp import (
Position,
PpTable,
Transaction,
# update_pps_conf,
open_trade_ledger,
open_pps,
)
from piker.clearing._messages import (
BrokerdCancel,
BrokerdError,
@ -265,10 +273,56 @@ async def subscribe(
# await ws.recv_msg()
def trades2pps(
table: PpTable,
acctid: str,
new_trans: dict[str, Transaction] = {},
) -> tuple[
list[BrokerdPosition],
list[Transaction],
]:
if new_trans:
updated = table.update_from_trans(
new_trans,
)
log.info(f'Updated pps:\n{pformat(updated)}')
pp_entries, closed_pp_objs = table.dump_active('kraken')
pp_objs: dict[Union[str, int], Position] = table.pps
pps: dict[int, Position]
position_msgs: list[dict] = []
for pps in [pp_objs, closed_pp_objs]:
for tid, p in pps.items():
msg = BrokerdPosition(
broker='kraken',
# XXX: ok so this is annoying, we're
# relaying an account name with the
# backend suffix prefixed but when
# reading accounts from ledgers we
# don't need it and/or it's prefixed
# in the section table.. we should
# just strip this from the message
# right since `.broker` is already
# included?
account='kraken.' + acctid,
symbol=p.symbol.front_fqsn(),
size=p.size,
avg_price=p.be_price,
currency='',
)
position_msgs.append(msg)
return position_msgs
@tractor.context
async def trades_dialogue(
ctx: tractor.Context,
loglevel: str = None,
) -> AsyncIterator[dict[str, Any]]:
# XXX: required to propagate ``tractor`` loglevel to piker logging
@ -289,39 +343,134 @@ async def trades_dialogue(
acctid = client._name
acc_name = 'kraken.' + acctid
# pull and deliver trades ledger
trades = await client.get_trades()
log.info(
f'Loaded {len(trades)} trades from account `{acc_name}`'
)
with open_ledger(
acctid,
trades,
) as trans:
active, closed = pp.update_pps_conf(
# task local msg dialog tracking
apiflows: defaultdict[
int,
ChainMap[dict[str, dict]],
] = defaultdict(ChainMap)
# 2way map for ems ids to kraken int reqids..
ids: bidict[str, int] = bidict()
reqids2txids: bidict[int, str] = bidict()
# NOTE: testing code for making sure the rt incremental update
# of positions, via newly generated msgs works. In order to test
# this,
# - delete the *ABSOLUTE LAST* entry from accont's corresponding
# trade ledgers file (NOTE this MUST be the last record
# delivered from the
# api ledger),
# - open you ``pps.toml`` and find that same tid and delete it
# from the pp's clears table,
# - set this flag to `True`
#
# You should see an update come in after the order mode
# boots up which shows your latest correct asset
# balance size after the "previously unknown simulating a live
# fill" update comes in on the relay loop even though the fill
# will be ignored by the ems (no known reqid) the pp msg should
# update things correctly.
simulate_pp_update: bool = False
with (
open_pps(
'kraken',
acctid,
trade_records=trans,
ledger_reload={}.fromkeys(t.bsuid for t in trans),
) as table,
open_trade_ledger(
'kraken',
acctid,
) as ledger_dict,
):
# transaction-ify the ledger entries
ledger_trans = norm_trade_records(ledger_dict)
# TODO: eventually probably only load
# as far back as it seems is not deliverd in the
# most recent 50 trades and assume that by ordering we
# already have those records in the ledger.
tids2trades = await client.get_trades()
api_trans = norm_trade_records(tids2trades)
# retrieve kraken reported balances
# and do diff with ledger to determine
# what amount of trades-transactions need
# to be reloaded.
sizes = await client.get_balances()
for dst, size in sizes.items():
# we don't care about tracking positions
# in the user's source fiat currency.
if dst == client.conf['src_fiat']:
continue
def has_pp(dst: str) -> Position | bool:
pps_dst_assets = {bsuid[:3]: bsuid for bsuid in table.pps}
pair = pps_dst_assets.get(dst)
pp = table.pps.get(pair)
if (
not pair or not pp
or not math.isclose(pp.size, size)
):
return False
return pp
pos = has_pp(dst)
if not pos:
# we have a balance for which there is no pp
# entry? so we have to likely update from the
# ledger.
updated = table.update_from_trans(ledger_trans)
log.info(f'Updated pps from ledger:\n{pformat(updated)}')
pos = has_pp(dst)
if not pos and not simulate_pp_update:
# try reloading from API
table.update_from_trans(api_trans)
pos = has_pp(dst)
if not pos:
raise ValueError(
'Could not reproduce balance:\n'
f'dst: {dst}, {size}\n'
)
position_msgs: list[dict] = []
pps: dict[int, pp.Position]
for pps in [active, closed]:
for tid, p in pps.items():
msg = BrokerdPosition(
broker='kraken',
account=acc_name,
symbol=p.symbol.front_fqsn(),
size=p.size,
avg_price=p.be_price,
currency='',
)
position_msgs.append(msg)
# only for simulate-testing a "new fill" since
# otherwise we have to actually conduct a live clear.
if simulate_pp_update:
tid = list(tids2trades)[0]
last_trade_dict = tids2trades[tid]
# stage a first reqid of `0`
reqids2txids[0] = last_trade_dict['ordertxid']
await ctx.started(
(position_msgs, [acc_name])
# reverse the volume on the last trade record so that we can
# use it to update the pptable and thus reverse the last
# trade's effect on the position size.
# last_trade_dict['vol'] = str(float(last_trade_dict['vol']) * -1)
# convert the reversed trade into transaction format
# fake_tid = ''.join(reversed(tid))
# reversed_last_tran = norm_trade_records(
# {fake_tid: last_trade_dict})[fake_tid]
# assert reversed_last_tran.size == -1 * (
# list(api_trans.values())[0].size)
# update the pp table with the reversed trade thus taking
# the sizing back to "one trade prior" to the last one.
# table.update_from_trans({tid: reversed_last_tran})
ppmsgs = trades2pps(
table,
acctid,
# new_trans,
)
await ctx.started((ppmsgs, [acc_name]))
# XXX: not fucking clue but putting this finally block
# will suppress errors inside the direct await below!?!
# try:
# Get websocket token for authenticated data stream
# Assert that a token was actually received.
@ -343,21 +492,13 @@ async def trades_dialogue(
token=token,
),
) as ws,
trio.open_nursery() as n,
aclosing(stream_messages(ws)) as stream,
trio.open_nursery() as nurse,
):
# task local msg dialog tracking
apiflows: defaultdict[
int,
ChainMap[dict[str, dict]],
] = defaultdict(ChainMap)
# 2way map for ems ids to kraken int reqids..
ids: bidict[str, int] = bidict()
reqids2txids: bidict[int, str] = bidict()
stream = stream_messages(ws)
# task for processing inbound requests from ems
n.start_soon(
nurse.start_soon(
handle_order_requests,
ws,
client,
@ -369,6 +510,8 @@ async def trades_dialogue(
)
# enter relay loop
# try:
try:
await handle_order_updates(
ws,
stream,
@ -376,11 +519,17 @@ async def trades_dialogue(
apiflows,
ids,
reqids2txids,
trans,
table,
api_trans,
acctid,
acc_name,
token,
)
# except:
# await tractor.breakpoint()
finally:
# always update ledger on exit
ledger_dict.update(tids2trades)
async def handle_order_updates(
@ -390,7 +539,11 @@ async def handle_order_updates(
apiflows: dict[int, ChainMap[dict[str, dict]]],
ids: bidict[str, int],
reqids2txids: bidict[int, str],
trans: set[pp.Transaction],
table: PpTable,
# transaction records which will be updated
# on new trade clearing events (aka order "fills")
ledger_trans: dict[str, Transaction],
acctid: str,
acc_name: str,
token: str,
@ -403,9 +556,6 @@ async def handle_order_updates(
defined in the signature clear to the reader.
'''
# transaction records which will be updated
# on new trade clearing events (aka order "fills")
trans: set[pp.Transaction]
async for msg in ws_stream:
match msg:
@ -427,17 +577,34 @@ async def handle_order_updates(
f'ownTrades update_{seq}:\n'
f'{pformat(trades_msgs)}'
)
# flatten msgs to an {id -> data} table for processing
# assert 0
# format as tid -> trade event map
# eg. msg
# [{'TOKWHY-SMTUB-G5DOI6': {'cost': '95.29047',
# 'fee': '0.24776',
# 'margin': '0.00000',
# 'ordertxid': 'OKSUXM-3OLSB-L7TN72',
# 'ordertype': 'limit',
# 'pair': 'XBT/EUR',
# 'postxid': 'TKH2SE-M7IF5-CFI7LT',
# 'price': '21268.20000',
# 'time': '1657990947.640891',
# 'type': 'buy',
# 'vol': '0.00448042'}}]
trades = {
tid: trade
for entry in trades_msgs
for (tid, trade) in entry.items()
# only emit entries which are already not-in-ledger
if tid not in {r.tid for r in trans}
if tid not in ledger_trans
}
for tid, trade in trades.items():
# if tid in ledger_trans:
# # skip already seen transactions
# log.info(f'Skipping already seen trade {trade}')
# continue
# await tractor.breakpoint()
for tid, trade in trades.items():
txid = trade['ordertxid']
# NOTE: yet again, here we don't have any ref to the
@ -491,57 +658,22 @@ async def handle_order_updates(
)
await ems_stream.send(filled_msg)
if not trades:
# skip pp emissions if we have already
# processed all trades in this msg.
continue
# if not trades:
# # skip pp emissions if we have already
# # processed all trades in this msg.
# continue
# update ledger and position tracking
trans: set[pp.Transaction]
with open_ledger(
new_trans = norm_trade_records(trades)
ppmsgs = trades2pps(
table,
acctid,
trades,
) as trans:
# TODO: ideally we can pass in an existing
# pps state to this right? such that we
# don't have to do a ledger reload all the
# time..
active, closed = pp.update_pps_conf(
'kraken',
acctid,
trade_records=list(trans),
ledger_reload={}.fromkeys(
t.bsuid for t in trans),
)
# emit any new pp msgs to ems
for pos in filter(
bool,
itertools.chain(active.values(), closed.values()),
):
pp_msg = BrokerdPosition(
broker='kraken',
# XXX: ok so this is annoying, we're
# relaying an account name with the
# backend suffix prefixed but when
# reading accounts from ledgers we
# don't need it and/or it's prefixed
# in the section table.. we should
# just strip this from the message
# right since `.broker` is already
# included?
account=f'kraken.{acctid}',
symbol=pos.symbol.front_fqsn(),
size=pos.size,
avg_price=pos.be_price,
# TODO
# currency=''
new_trans,
)
for pp_msg in ppmsgs:
await ems_stream.send(pp_msg)
ledger_trans.update(new_trans)
# process and relay order state change events
# https://docs.kraken.com/websockets/#message-openOrders
case [
@ -801,7 +933,7 @@ async def handle_order_updates(
):
# client was editting too quickly
# so we instead cancel this order
print("SENDING CANCEL")
log.cancel(f'Cancelling order for {reqid}@{txid}')
await ws.send_msg({
'event': 'cancelOrder',
'token': token,
@ -910,9 +1042,10 @@ def process_status(
def norm_trade_records(
ledger: dict[str, Any],
) -> list[pp.Transaction]:
) -> dict[str, Transaction]:
records: dict[str, Transaction] = {}
records: list[pp.Transaction] = []
for tid, record in ledger.items():
size = float(record.get('vol')) * {
@ -923,8 +1056,7 @@ def norm_trade_records(
# we normalize to kraken's `altname` always..
bsuid = norm_sym = Client.normalize_symbol(record['pair'])
records.append(
pp.Transaction(
records[tid] = Transaction(
fqsn=f'{norm_sym}.kraken',
tid=tid,
size=size,
@ -936,7 +1068,6 @@ def norm_trade_records(
# XXX: there are no derivs on kraken right?
# expiry=expiry,
)
)
return records
@ -946,21 +1077,16 @@ def open_ledger(
acctid: str,
trade_entries: list[dict[str, Any]],
) -> set[pp.Transaction]:
) -> set[Transaction]:
'''
Write recent session's trades to the user's (local) ledger file.
'''
with pp.open_trade_ledger(
with open_trade_ledger(
'kraken',
acctid,
) as ledger:
# normalize to transaction form
# TODO: cawt damn, we should probably delegate to cryptofeed for
# this insteada of re-hacking kraken's total crap?
records = norm_trade_records(trade_entries)
yield set(records)
yield ledger
# update on exit
ledger.update(trade_entries)