self.market = market
self.verbose_print = verbose_print
+ self.print_logs = []
self.logs = []
+ 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):
- message = str(message)
+ now = 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)
hash_["date"] = datetime.now()
self.logs.append(hash_)
+ @staticmethod
+ def default_json_serial(obj):
+ if isinstance(obj, (datetime, date)):
+ return obj.isoformat()
+ return str(obj)
+
def to_json(self):
- def default_json_serial(obj):
- if isinstance(obj, (datetime, date)):
- return obj.isoformat()
- return str(obj)
- return json.dumps(self.logs, default=default_json_serial, indent=" ")
+ 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 set_verbose(self, verbose_print):
self.verbose_print = verbose_print
})
def log_http_request(self, method, url, body, headers, response):
- self.add_log({
- "type": "http_request",
- "method": method,
- "url": url,
- "body": body,
- "headers": headers,
- "status": response.status_code,
- "response": response.text
- })
+ 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),
+ })
+ else:
+ self.add_log({
+ "type": "http_request",
+ "method": method,
+ "url": url,
+ "body": body,
+ "headers": headers,
+ "status": response.status_code,
+ "response": response.text
+ })
def log_error(self, action, message=None, exception=None):
self.print_log("[Error] {}".format(action))
"action": action,
})
+ def log_market(self, args, user_id, market_id):
+ self.add_log({
+ "type": "market",
+ "commit": "$Format:%H$",
+ "args": vars(args),
+ "user_id": user_id,
+ "market_id": market_id,
+ })
+
class BalanceStore:
def __init__(self, market):
self.market = market
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"
- liquidities = {}
- data = None
- last_date = None
- report = ReportStore(None)
+ data = LockedVar(None)
+ liquidities = LockedVar({})
+ last_date = LockedVar(None)
+ report = LockedVar(ReportStore(None))
+ worker = None
+ 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_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_recent(cls, delta=4):
+ 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()
+ cls.worker_notify.clear()
+ cls.report.print_log("Fetching cryptoportfolio")
+ cls.get_cryptoportfolio(refetch=True)
+ cls.callback.set()
+ time.sleep(poll)
+
+ @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 is None or datetime.now() - cls.last_date > timedelta(delta):
- time.sleep(30)
- cls.report.print_log("Attempt to fetch up-to-date cryptoportfolio")
+ while cls.last_date.get() is None or datetime.now() - cls.last_date.get() > 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"):
cls.get_cryptoportfolio()
- liquidities = cls.liquidities[liquidity]
- return liquidities[cls.last_date]
+ liquidities = cls.liquidities.get(liquidity)
+ return liquidities[cls.last_date.get()]
@classmethod
def get_cryptoportfolio(cls, refetch=False):
- if cls.data is not None and not refetch:
+ 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_error("get_cryptoportfolio", exception=e)
return
try:
- cls.data = r.json(parse_int=D, parse_float=D)
+ cls.data.set(r.json(parse_int=D, parse_float=D))
cls.parse_cryptoportfolio()
except (JSONDecodeError, SimpleJSONDecodeError):
- cls.data = None
- cls.liquidities = {}
+ cls.data.set(None)
+ cls.last_date.set(None)
+ cls.liquidities.set({})
@classmethod
def parse_cryptoportfolio(cls):
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"])):
map(clean_weights(i), weights_hash.items())))
return weights
- high_liquidity = parse_weights(cls.data["portfolio_1"])
- medium_liquidity = parse_weights(cls.data["portfolio_2"])
+ high_liquidity = parse_weights(cls.data.get("portfolio_1"))
+ medium_liquidity = parse_weights(cls.data.get("portfolio_2"))
- cls.liquidities = {
- "medium": medium_liquidity,
- "high": high_liquidity,
- }
- cls.last_date = max(max(medium_liquidity.keys()), max(high_liquidity.keys()))
+ cls.liquidities.set({
+ "medium": medium_liquidity,
+ "high": high_liquidity,
+ })
+ cls.last_date.set(max(
+ max(medium_liquidity.keys(), default=datetime(1, 1, 1)),
+ max(high_liquidity.keys(), default=datetime(1, 1, 1))
+ ))