import time
import requests
import portfolio
import simplejson as json
from decimal import Decimal as D, ROUND_DOWN
import datetime
import inspect
from json import JSONDecodeError
from simplejson.errors import JSONDecodeError as SimpleJSONDecodeError
import dbs
__all__ = ["Portfolio", "BalanceStore", "ReportStore", "TradeStore"]
class ReportStore:
def __init__(self, market, verbose_print=True, no_http_dup=False):
self.market = market
self.verbose_print = verbose_print
self.print_logs = []
self.logs = []
self.redis_status = []
self.no_http_dup = no_http_dup
self.last_http = None
def merge(self, other_report):
self.logs += other_report.logs
self.logs.sort(key=lambda x: x["date"])
self.print_logs += other_report.print_logs
self.print_logs.sort(key=lambda x: x[0])
def print_log(self, message):
now = datetime.datetime.now()
message = "{:%Y-%m-%d %H:%M:%S}: {}".format(now, str(message))
self.print_logs.append([now, message])
if self.verbose_print:
print(message)
def add_log(self, hash_):
hash_["date"] = datetime.datetime.now()
if self.market is not None:
hash_["user_id"] = self.market.user_id
hash_["market_id"] = self.market.market_id
else:
hash_["user_id"] = None
hash_["market_id"] = None
self.logs.append(hash_)
return hash_
def add_redis_status(self, hash_):
self.redis_status.append(hash_)
return hash_
@staticmethod
def default_json_serial(obj):
if isinstance(obj, (datetime.datetime, datetime.date)):
return obj.isoformat()
return str(obj)
def to_json(self):
return json.dumps(self.logs, default=self.default_json_serial, indent=" ")
def to_json_array(self):
for log in (x.copy() for x in self.logs):
yield (
log.pop("date"),
log.pop("type"),
json.dumps(log, default=self.default_json_serial, indent=" ")
)
def to_json_redis(self):
for log in (x.copy() for x in self.redis_status):
yield (
log.pop("type"),
json.dumps(log, default=self.default_json_serial)
)
def set_verbose(self, verbose_print):
self.verbose_print = verbose_print
def log_stage(self, stage, **kwargs):
def as_json(element):
if callable(element):
return inspect.getsource(element).strip()
elif hasattr(element, "as_json"):
return element.as_json()
else:
return element
args = { k: as_json(v) for k, v in kwargs.items() }
args_str = ["{}={}".format(k, v) for k, v in args.items()]
self.print_log("-" * (len(stage) + 8))
self.print_log("[Stage] {} {}".format(stage, ", ".join(args_str)))
self.add_log({
"type": "stage",
"stage": stage,
"args": args,
})
def log_balances(self, tag=None, checkpoint=None, tickers=None,
ticker_currency=None, compute_value=None, type=None):
self.print_log("[Balance]")
for currency, balance in self.market.balances.all.items():
self.print_log("\t{}".format(balance))
log = {
"type": "balance",
"tag": tag,
"checkpoint": checkpoint,
"balances": self.market.balances.as_json()
}
if tickers is not None:
log["tickers"] = self._ticker_hash(tickers, ticker_currency,
compute_value, type)
self.add_log(log.copy())
self.add_redis_status(log)
def log_tickers(self, amounts, other_currency,
compute_value, type):
log = self._ticker_hash(amounts, other_currency, compute_value,
type)
log["type"] = "tickers"
self.add_log(log)
def _ticker_hash(self, amounts, other_currency, compute_value, type):
values = {}
rates = {}
if callable(compute_value):
compute_value = inspect.getsource(compute_value).strip()
for currency, amount in amounts.items():
values[currency] = amount.as_json()["value"]
rates[currency] = amount.rate
return {
"compute_value": compute_value,
"balance_type": type,
"currency": other_currency,
"balances": values,
"rates": rates,
"total": sum(amounts.values()).as_json()["value"]
}
def log_dispatch(self, amount, amounts, liquidity, repartition):
self.add_log({
"type": "dispatch",
"liquidity": liquidity,
"repartition_ratio": repartition,
"total_amount": amount.as_json(),
"repartition": { k: v.as_json()["value"] for k, v in amounts.items() }
})
def log_trades(self, matching_and_trades, only):
trades = []
for matching, trade in matching_and_trades:
trade_json = trade.as_json()
trade_json["skipped"] = not matching
trades.append(trade_json)
self.add_log({
"type": "trades",
"only": only,
"debug": self.market.debug,
"trades": trades
})
def log_orders(self, orders, tick=None, only=None, compute_value=None):
if callable(compute_value):
compute_value = inspect.getsource(compute_value).strip()
self.print_log("[Orders]")
self.market.trades.print_all_with_order(ind="\t")
self.add_log({
"type": "orders",
"only": only,
"compute_value": compute_value,
"tick": tick,
"orders": [order.as_json() for order in orders if order is not None]
})
def log_order(self, order, tick, finished=False, update=None,
new_order=None, compute_value=None):
if callable(compute_value):
compute_value = inspect.getsource(compute_value).strip()
if finished:
self.print_log("[Order] Finished {}".format(order))
elif update == "waiting":
self.print_log("[Order] {}, tick {}, waiting".format(order, tick))
elif update == "adjusting":
self.print_log("[Order] {}, tick {}, cancelling and adjusting to {}".format(order, tick, new_order))
elif update == "market_fallback":
self.print_log("[Order] {}, tick {}, fallbacking to market value".format(order, tick))
elif update == "market_adjust":
self.print_log("[Order] {}, tick {}, market value, cancelling and adjusting to {}".format(order, tick, new_order))
self.add_log({
"type": "order",
"tick": tick,
"update": update,
"order": order.as_json(),
"compute_value": compute_value,
"new_order": new_order.as_json() if new_order is not None else None
})
def log_move_balances(self, needed, moving):
self.add_log({
"type": "move_balances",
"debug": self.market.debug,
"needed": { k: v.as_json()["value"] if isinstance(v, portfolio.Amount) else v for k, v in needed.items() },
"moving": { k: v.as_json()["value"] if isinstance(v, portfolio.Amount) else v for k, v in moving.items() },
})
def log_http_request(self, method, url, body, headers, response):
if isinstance(response, Exception):
self.add_log({
"type": "http_request",
"method": method,
"url": url,
"body": body,
"headers": headers,
"status": -1,
"response": None,
"error": response.__class__.__name__,
"error_message": str(response),
})
self.last_http = None
elif self.no_http_dup and \
self.last_http is not None and \
self.last_http["url"] == url and \
self.last_http["method"] == method and \
self.last_http["response"] == response.text:
self.add_log({
"type": "http_request",
"method": method,
"url": url,
"body": body,
"headers": headers,
"status": response.status_code,
"duration": response.elapsed.total_seconds(),
"response": None,
"response_same_as": self.last_http["date"]
})
else:
self.last_http = self.add_log({
"type": "http_request",
"method": method,
"url": url,
"body": body,
"headers": headers,
"status": response.status_code,
"duration": response.elapsed.total_seconds(),
"response": response.text,
"response_same_as": None,
})
def log_error(self, action, message=None, exception=None):
self.print_log("[Error] {}".format(action))
if exception is not None:
self.print_log(str("\t{}: {}".format(exception.__class__.__name__, exception)))
if message is not None:
self.print_log("\t{}".format(message))
self.add_log({
"type": "error",
"action": action,
"exception_class": exception.__class__.__name__ if exception is not None else None,
"exception_message": str(exception) if exception is not None else None,
"message": message,
})
def log_debug_action(self, action):
self.print_log("[Debug] {}".format(action))
self.add_log({
"type": "debug_action",
"action": action,
})
def log_market(self, args):
self.add_log({
"type": "market",
"commit": "$Format:%H$",
"args": vars(args),
})
class BalanceStore:
def __init__(self, market):
self.market = market
self.all = {}
def currencies(self):
return self.all.keys()
def in_currency(self, other_currency, compute_value="average", type="total"):
amounts = {}
for currency, balance in self.all.items():
other_currency_amount = getattr(balance, type)\
.in_currency(other_currency, self.market, compute_value=compute_value)
amounts[currency] = other_currency_amount
self.market.report.log_tickers(amounts, other_currency,
compute_value, type)
return amounts
def fetch_balances(self, tag=None, add_portfolio=False,
checkpoint=None, log_tickers=False, add_usdt=False,
ticker_currency="BTC", ticker_compute_value="average", ticker_type="total"):
all_balances = self.market.ccxt.fetch_all_balances()
for currency, balance in all_balances.items():
if balance["exchange_total"] != 0 or balance["margin_total"] != 0 or \
currency in self.all:
self.all[currency] = portfolio.Balance(currency, balance)
if add_portfolio:
for currency in Portfolio.repartition(from_cache=True):
self.all.setdefault(currency, portfolio.Balance(currency, {}))
if add_usdt:
self.all.setdefault("USDT", portfolio.Balance("USDT", {}))
if log_tickers:
tickers = self.in_currency(ticker_currency, compute_value=ticker_compute_value, type=ticker_type)
self.market.report.log_balances(tag=tag, checkpoint=checkpoint,
tickers=tickers, ticker_currency=ticker_currency,
compute_value=ticker_compute_value, type=ticker_type)
else:
self.market.report.log_balances(tag=tag, checkpoint=checkpoint)
def dispatch_assets(self, amount, liquidity="medium", repartition=None):
if repartition is None:
repartition = Portfolio.repartition(liquidity=liquidity)
sum_ratio = sum([v[0] for k, v in repartition.items()])
amounts = {}
for currency, (ptt, trade_type) in repartition.items():
amounts[currency] = ptt * amount / sum_ratio
if trade_type == "short":
amounts[currency] = - amounts[currency]
self.all.setdefault(currency, portfolio.Balance(currency, {}))
self.market.report.log_dispatch(amount, amounts, liquidity, repartition)
return amounts
def as_json(self):
return { k: v.as_json() for k, v in self.all.items() }
class TradeStore:
def __init__(self, market):
self.market = market
self.all = []
@property
def pending(self):
return list(filter(lambda t: t.pending, self.all))
def compute_trades(self, values_in_base, new_repartition, only=None):
computed_trades = []
base_currency = sum(values_in_base.values()).currency
for currency in self.market.balances.currencies():
if currency == base_currency:
continue
value_from = values_in_base.get(currency, portfolio.Amount(base_currency, 0))
value_to = new_repartition.get(currency, portfolio.Amount(base_currency, 0))
if value_from.value * value_to.value < 0:
computed_trades.append(self.trade_if_matching(
value_from, portfolio.Amount(base_currency, 0),
currency, only=only))
computed_trades.append(self.trade_if_matching(
portfolio.Amount(base_currency, 0), value_to,
currency, only=only))
else:
computed_trades.append(self.trade_if_matching(
value_from, value_to,
currency, only=only))
for matching, trade in computed_trades:
if matching:
self.all.append(trade)
self.market.report.log_trades(computed_trades, only)
def trade_if_matching(self, value_from, value_to, currency,
only=None):
trade = portfolio.Trade(value_from, value_to, currency,
self.market)
matching = only is None or trade.action == only
return [matching, trade]
def prepare_orders(self, only=None, compute_value="default"):
orders = []
for trade in self.pending:
if only is None or trade.action == only:
orders.append(trade.prepare_order(compute_value=compute_value))
self.market.report.log_orders(orders, only, compute_value)
def close_trades(self):
for trade in self.all:
trade.close()
def print_all_with_order(self, ind=""):
for trade in self.all:
trade.print_with_order(ind=ind)
def run_orders(self):
orders = self.all_orders(state="pending")
for order in orders:
order.run()
self.market.report.log_stage("run_orders")
self.market.report.log_orders(orders)
def all_orders(self, state=None):
all_orders = sum(map(lambda v: v.orders, self.all), [])
if state is None:
return all_orders
else:
return list(filter(lambda o: o.status == state, all_orders))
def update_all_orders_status(self):
for order in self.all_orders(state="open"):
order.get_status()
class NoopLock:
def __enter__(self, *args):
pass
def __exit__(self, *args):
pass
class LockedVar:
def __init__(self, value):
self.lock = NoopLock()
self.val = value
def start_lock(self):
import threading
self.lock = threading.Lock()
def set(self, value):
with self.lock:
self.val = value
def get(self, key=None):
with self.lock:
if key is not None and isinstance(self.val, dict):
return self.val.get(key)
else:
return self.val
def __getattr__(self, key):
with self.lock:
return getattr(self.val, key)
class Portfolio:
URL = "https://cryptoportfolio.io/wp-content/uploads/portfolio/json/cryptoportfolio.json"
data = LockedVar(None)
liquidities = LockedVar({})
last_date = LockedVar(None)
report = LockedVar(ReportStore(None, no_http_dup=True))
worker = None
worker_tag = ""
worker_started = False
worker_notify = None
callback = None
@classmethod
def start_worker(cls, poll=30):
import threading
cls.worker = threading.Thread(name="portfolio", daemon=True,
target=cls.wait_for_notification, kwargs={"poll": poll})
cls.worker_notify = threading.Event()
cls.callback = threading.Event()
cls.last_date.start_lock()
cls.liquidities.start_lock()
cls.report.start_lock()
cls.worker_tag = "[Worker] "
cls.worker_started = True
cls.worker.start()
@classmethod
def is_worker_thread(cls):
if cls.worker is None:
return False
else:
import threading
return cls.worker == threading.current_thread()
@classmethod
def wait_for_notification(cls, poll=30):
if not cls.is_worker_thread():
raise RuntimeError("This method needs to be ran with the worker")
while cls.worker_started:
cls.worker_notify.wait()
if cls.worker_started:
cls.worker_notify.clear()
cls.report.print_log("[Worker] Fetching cryptoportfolio")
cls.get_cryptoportfolio(refetch=True)
cls.callback.set()
time.sleep(poll)
@classmethod
def stop_worker(cls):
cls.worker_started = False
cls.worker_notify.set()
@classmethod
def notify_and_wait(cls):
cls.callback.clear()
cls.worker_notify.set()
cls.callback.wait()
@classmethod
def wait_for_recent(cls, delta=4, poll=30):
cls.get_cryptoportfolio()
while cls.last_date.get() is None or datetime.datetime.now() - cls.last_date.get() > datetime.timedelta(delta):
if cls.worker is None:
time.sleep(poll)
cls.report.print_log("Attempt to fetch up-to-date cryptoportfolio")
cls.get_cryptoportfolio(refetch=True)
@classmethod
def repartition(cls, liquidity="medium", from_cache=False):
if from_cache:
cls.retrieve_cryptoportfolio()
cls.get_cryptoportfolio()
liquidities = cls.liquidities.get(liquidity)
return liquidities[cls.last_date.get()]
@classmethod
def get_cryptoportfolio(cls, refetch=False):
if cls.data.get() is not None and not refetch:
return
if cls.worker is not None and not cls.is_worker_thread():
cls.notify_and_wait()
return
try:
r = requests.get(cls.URL)
cls.report.log_http_request(r.request.method,
r.request.url, r.request.body, r.request.headers, r)
except Exception as e:
cls.report.log_error("{}get_cryptoportfolio".format(cls.worker_tag), exception=e)
return
try:
cls.data.set(r.json(parse_int=D, parse_float=D))
cls.parse_cryptoportfolio()
cls.store_cryptoportfolio()
except (JSONDecodeError, SimpleJSONDecodeError):
cls.data.set(None)
cls.last_date.set(None)
cls.liquidities.set({})
@classmethod
def retrieve_cryptoportfolio(cls):
if dbs.redis_connected():
repartition = dbs.redis.get("/cryptoportfolio/repartition/latest")
date = dbs.redis.get("/cryptoportfolio/repartition/date")
if date is not None and repartition is not None:
date = datetime.datetime.strptime(date.decode(), "%Y-%m-%d")
repartition = json.loads(repartition, parse_int=D, parse_float=D)
repartition = { k: { date: v } for k, v in repartition.items() }
cls.data.set("")
cls.last_date.set(date)
cls.liquidities.set(repartition)
@classmethod
def store_cryptoportfolio(cls):
if dbs.redis_connected():
hash_ = {}
for liquidity, repartitions in cls.liquidities.items():
hash_[liquidity] = repartitions[cls.last_date.get()]
dump = json.dumps(hash_)
key = "/cryptoportfolio/repartition/latest"
dbs.redis.set(key, dump)
key = "/cryptoportfolio/repartition/date"
dbs.redis.set(key, cls.last_date.date().isoformat())
@classmethod
def parse_cryptoportfolio(cls):
def filter_weights(weight_hash):
if weight_hash[1][0] == 0:
return False
if weight_hash[0] == "_row":
return False
return True
def clean_weights(i):
def clean_weights_(h):
if h[0].endswith("s"):
return [h[0][0:-1], (h[1][i], "short")]
else:
return [h[0], (h[1][i], "long")]
return clean_weights_
def parse_weights(portfolio_hash):
if "weights" not in portfolio_hash:
return {}
weights_hash = portfolio_hash["weights"]
weights = {}
for i in range(len(weights_hash["_row"])):
date = datetime.datetime.strptime(weights_hash["_row"][i], "%Y-%m-%d")
weights[date] = dict(filter(
filter_weights,
map(clean_weights(i), weights_hash.items())))
return weights
high_liquidity = parse_weights(cls.data.get("portfolio_1"))
medium_liquidity = parse_weights(cls.data.get("portfolio_2"))
cls.liquidities.set({
"medium": medium_liquidity,
"high": high_liquidity,
})
cls.last_date.set(max(
max(medium_liquidity.keys(), default=datetime.datetime(1, 1, 1)),
max(high_liquidity.keys(), default=datetime.datetime(1, 1, 1))
))