Merge pull request #7759 from wizrds/fix/pd-mem-leak
Fix Pandas to_json memory leak
This commit is contained in:
commit
4de9a46618
@ -10,7 +10,8 @@ from typing import Any, Dict, Iterator, List, Mapping, Union
|
||||
from typing.io import IO
|
||||
from urllib.parse import urlparse
|
||||
|
||||
import pandas
|
||||
import orjson
|
||||
import pandas as pd
|
||||
import rapidjson
|
||||
|
||||
from freqtrade.constants import DECIMAL_PER_COIN_FALLBACK, DECIMALS_PER_COIN
|
||||
@ -256,29 +257,37 @@ def parse_db_uri_for_logging(uri: str):
|
||||
return parsed_db_uri.geturl().replace(f':{pwd}@', ':*****@')
|
||||
|
||||
|
||||
def dataframe_to_json(dataframe: pandas.DataFrame) -> str:
|
||||
def dataframe_to_json(dataframe: pd.DataFrame) -> str:
|
||||
"""
|
||||
Serialize a DataFrame for transmission over the wire using JSON
|
||||
:param dataframe: A pandas DataFrame
|
||||
:returns: A JSON string of the pandas DataFrame
|
||||
"""
|
||||
return dataframe.to_json(orient='split')
|
||||
# https://github.com/pandas-dev/pandas/issues/24889
|
||||
# https://github.com/pandas-dev/pandas/issues/40443
|
||||
# We need to convert to a dict to avoid mem leak
|
||||
def default(z):
|
||||
if isinstance(z, pd.Timestamp):
|
||||
return z.timestamp() * 1e3
|
||||
raise TypeError
|
||||
|
||||
return str(orjson.dumps(dataframe.to_dict(orient='split'), default=default), 'utf-8')
|
||||
|
||||
|
||||
def json_to_dataframe(data: str) -> pandas.DataFrame:
|
||||
def json_to_dataframe(data: str) -> pd.DataFrame:
|
||||
"""
|
||||
Deserialize JSON into a DataFrame
|
||||
:param data: A JSON string
|
||||
:returns: A pandas DataFrame from the JSON string
|
||||
"""
|
||||
dataframe = pandas.read_json(data, orient='split')
|
||||
dataframe = pd.read_json(data, orient='split')
|
||||
if 'date' in dataframe.columns:
|
||||
dataframe['date'] = pandas.to_datetime(dataframe['date'], unit='ms', utc=True)
|
||||
dataframe['date'] = pd.to_datetime(dataframe['date'], unit='ms', utc=True)
|
||||
|
||||
return dataframe
|
||||
|
||||
|
||||
def remove_entry_exit_signals(dataframe: pandas.DataFrame):
|
||||
def remove_entry_exit_signals(dataframe: pd.DataFrame):
|
||||
"""
|
||||
Remove Entry and Exit signals from a DataFrame
|
||||
|
||||
|
@ -77,6 +77,7 @@ class WebSocketChannel:
|
||||
# until self.drain_timeout for the relay to drain the outgoing queue
|
||||
# We can't use asyncio.wait_for here because the queue may have been created with a
|
||||
# different eventloop
|
||||
if not self.is_closed():
|
||||
start = time.time()
|
||||
while self.queue.full():
|
||||
await asyncio.sleep(1)
|
||||
@ -91,6 +92,8 @@ class WebSocketChannel:
|
||||
|
||||
# If we got here everything is ok
|
||||
return True
|
||||
else:
|
||||
return False
|
||||
|
||||
async def recv(self):
|
||||
"""
|
||||
@ -109,14 +112,14 @@ class WebSocketChannel:
|
||||
Close the WebSocketChannel
|
||||
"""
|
||||
|
||||
self._closed.set()
|
||||
self._relay_task.cancel()
|
||||
|
||||
try:
|
||||
await self.raw_websocket.close()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
self._closed.set()
|
||||
self._relay_task.cancel()
|
||||
|
||||
def is_closed(self) -> bool:
|
||||
"""
|
||||
Closed flag
|
||||
|
Loading…
Reference in New Issue
Block a user