stable/freqtrade/resolvers/strategy_resolver.py

168 lines
7.1 KiB
Python

# pragma pylint: disable=attribute-defined-outside-init
"""
This module load custom strategies
"""
import inspect
import logging
import tempfile
from base64 import urlsafe_b64decode
from collections import OrderedDict
from pathlib import Path
from typing import Dict, Optional
from freqtrade import constants
from freqtrade.resolvers import IResolver
from freqtrade.strategy import import_strategy
from freqtrade.strategy.interface import IStrategy
logger = logging.getLogger(__name__)
class StrategyResolver(IResolver):
"""
This class contains all the logic to load custom strategy class
"""
__slots__ = ['strategy']
def __init__(self, config: Optional[Dict] = None) -> None:
"""
Load the custom class from config parameter
:param config: configuration dictionary or None
"""
config = config or {}
# Verify the strategy is in the configuration, otherwise fallback to the default strategy
strategy_name = config.get('strategy') or constants.DEFAULT_STRATEGY
self.strategy: IStrategy = self._load_strategy(strategy_name,
config=config,
extra_dir=config.get('strategy_path'))
# make sure experimental dict is available
if 'experimental' not in config:
config['experimental'] = {}
# Set attributes
# Check if we need to override configuration
# (Attribute name, default, experimental)
attributes = [("minimal_roi", None, False),
("ticker_interval", None, False),
("stoploss", None, False),
("trailing_stop", None, False),
("trailing_stop_positive", None, False),
("trailing_stop_positive_offset", 0.0, False),
("process_only_new_candles", None, False),
("order_types", None, False),
("order_time_in_force", None, False),
("use_sell_signal", False, True),
("sell_profit_only", False, True),
("ignore_roi_if_buy_signal", False, True),
]
for attribute, default, experimental in attributes:
if experimental:
self._override_attribute_helper(config['experimental'], attribute, default)
else:
self._override_attribute_helper(config, attribute, default)
# Loop this list again to have output combined
for attribute, _, exp in attributes:
if exp and attribute in config['experimental']:
logger.info("Strategy using %s: %s", attribute, config['experimental'][attribute])
elif attribute in config:
logger.info("Strategy using %s: %s", attribute, config[attribute])
# Sort and apply type conversions
self.strategy.minimal_roi = OrderedDict(sorted(
{int(key): value for (key, value) in self.strategy.minimal_roi.items()}.items(),
key=lambda t: t[0]))
self.strategy.stoploss = float(self.strategy.stoploss)
self._strategy_sanity_validations()
def _override_attribute_helper(self, config, attribute: str, default):
"""
Override attributes in the strategy.
Prevalence:
- Configuration
- Strategy
- default (if not None)
"""
if attribute in config:
setattr(self.strategy, attribute, config[attribute])
logger.info("Override strategy '%s' with value in config file: %s.",
attribute, config[attribute])
elif hasattr(self.strategy, attribute):
config[attribute] = getattr(self.strategy, attribute)
# Explicitly check for None here as other "falsy" values are possible
elif default is not None:
setattr(self.strategy, attribute, default)
config[attribute] = default
def _strategy_sanity_validations(self):
if not all(k in self.strategy.order_types for k in constants.REQUIRED_ORDERTYPES):
raise ImportError(f"Impossible to load Strategy '{self.strategy.__class__.__name__}'. "
f"Order-types mapping is incomplete.")
if not all(k in self.strategy.order_time_in_force for k in constants.REQUIRED_ORDERTIF):
raise ImportError(f"Impossible to load Strategy '{self.strategy.__class__.__name__}'. "
f"Order-time-in-force mapping is incomplete.")
def _load_strategy(
self, strategy_name: str, config: dict, extra_dir: Optional[str] = None) -> IStrategy:
"""
Search and loads the specified strategy.
:param strategy_name: name of the module to import
:param config: configuration for the strategy
:param extra_dir: additional directory to search for the given strategy
:return: Strategy instance or None
"""
current_path = Path(__file__).parent.parent.joinpath('strategy').resolve()
abs_paths = [
Path.cwd().joinpath('user_data/strategies'),
current_path,
]
if extra_dir:
# Add extra strategy directory on top of search paths
abs_paths.insert(0, Path(extra_dir).resolve())
if ":" in strategy_name:
logger.info("loading base64 endocded strategy")
strat = strategy_name.split(":")
if len(strat) == 2:
temp = Path(tempfile.mkdtemp("freq", "strategy"))
name = strat[0] + ".py"
temp.joinpath(name).write_text(urlsafe_b64decode(strat[1]).decode('utf-8'))
temp.joinpath("__init__.py").touch()
strategy_name = strat[0]
# register temp path with the bot
abs_paths.insert(0, temp.resolve())
for _path in abs_paths:
try:
strategy = self._search_object(directory=_path, object_type=IStrategy,
object_name=strategy_name, kwargs={'config': config})
if strategy:
logger.info('Using resolved strategy %s from \'%s\'', strategy_name, _path)
strategy._populate_fun_len = len(
inspect.getfullargspec(strategy.populate_indicators).args)
strategy._buy_fun_len = len(
inspect.getfullargspec(strategy.populate_buy_trend).args)
strategy._sell_fun_len = len(
inspect.getfullargspec(strategy.populate_sell_trend).args)
return import_strategy(strategy, config=config)
except FileNotFoundError:
logger.warning('Path "%s" does not exist', _path.relative_to(Path.cwd()))
raise ImportError(
"Impossible to load Strategy '{}'. This class does not exist"
" or contains Python code errors".format(strategy_name)
)