Merge pull request #3818 from freqtrade/rpc/candlehistory
Rpc/candlehistory
This commit is contained in:
@@ -51,7 +51,8 @@ class IResolver:
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:param object_name: Class name of the object
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:param enum_failed: If True, will return None for modules which fail.
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Otherwise, failing modules are skipped.
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:return: generator containing matching objects
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:return: generator containing tuple of matching objects
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Tuple format: [Object, source]
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"""
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# Generate spec based on absolute path
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@@ -67,14 +68,16 @@ class IResolver:
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return iter([None])
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valid_objects_gen = (
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obj for name, obj in inspect.getmembers(module, inspect.isclass)
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if ((object_name is None or object_name == name) and
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issubclass(obj, cls.object_type) and obj is not cls.object_type)
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(obj, inspect.getsource(module)) for
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name, obj in inspect.getmembers(
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module, inspect.isclass) if ((object_name is None or object_name == name)
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and issubclass(obj, cls.object_type)
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and obj is not cls.object_type)
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)
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return valid_objects_gen
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@classmethod
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def _search_object(cls, directory: Path, object_name: str
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def _search_object(cls, directory: Path, *, object_name: str, add_source: bool = False
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) -> Union[Tuple[Any, Path], Tuple[None, None]]:
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"""
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Search for the objectname in the given directory
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@@ -93,11 +96,14 @@ class IResolver:
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obj = next(cls._get_valid_object(module_path, object_name), None)
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if obj:
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return (obj, module_path)
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obj[0].__file__ = str(entry)
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if add_source:
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obj[0].__source__ = obj[1]
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return (obj[0], module_path)
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return (None, None)
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@classmethod
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def _load_object(cls, paths: List[Path], object_name: str,
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def _load_object(cls, paths: List[Path], *, object_name: str, add_source: bool = False,
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kwargs: dict = {}) -> Optional[Any]:
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"""
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Try to load object from path list.
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@@ -106,7 +112,8 @@ class IResolver:
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for _path in paths:
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try:
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(module, module_path) = cls._search_object(directory=_path,
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object_name=object_name)
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object_name=object_name,
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add_source=add_source)
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if module:
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logger.info(
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f"Using resolved {cls.object_type.__name__.lower()[1:]} {object_name} "
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@@ -118,7 +125,7 @@ class IResolver:
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return None
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@classmethod
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def load_object(cls, object_name: str, config: dict, kwargs: dict,
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def load_object(cls, object_name: str, config: dict, *, kwargs: dict,
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extra_dir: Optional[str] = None) -> Any:
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"""
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Search and loads the specified object as configured in hte child class.
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@@ -133,10 +140,10 @@ class IResolver:
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user_subdir=cls.user_subdir,
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extra_dir=extra_dir)
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pairlist = cls._load_object(paths=abs_paths, object_name=object_name,
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kwargs=kwargs)
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if pairlist:
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return pairlist
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found_object = cls._load_object(paths=abs_paths, object_name=object_name,
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kwargs=kwargs)
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if found_object:
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return found_object
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raise OperationalException(
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f"Impossible to load {cls.object_type_str} '{object_name}'. This class does not exist "
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"or contains Python code errors."
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@@ -164,8 +171,8 @@ class IResolver:
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for obj in cls._get_valid_object(module_path, object_name=None,
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enum_failed=enum_failed):
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objects.append(
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{'name': obj.__name__ if obj is not None else '',
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'class': obj,
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{'name': obj[0].__name__ if obj is not None else '',
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'class': obj[0] if obj is not None else None,
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'location': entry,
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})
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return objects
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@@ -174,7 +174,9 @@ class StrategyResolver(IResolver):
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strategy = StrategyResolver._load_object(paths=abs_paths,
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object_name=strategy_name,
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kwargs={'config': config})
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add_source=True,
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kwargs={'config': config},
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)
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if strategy:
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strategy._populate_fun_len = len(getfullargspec(strategy.populate_indicators).args)
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strategy._buy_fun_len = len(getfullargspec(strategy.populate_buy_trend).args)
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@@ -1,7 +1,9 @@
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import logging
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import threading
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from copy import deepcopy
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from datetime import date, datetime
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from ipaddress import IPv4Address
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from pathlib import Path
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from typing import Any, Callable, Dict
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from arrow import Arrow
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@@ -15,7 +17,8 @@ from werkzeug.security import safe_str_cmp
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from werkzeug.serving import make_server
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from freqtrade.__init__ import __version__
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from freqtrade.constants import DATETIME_PRINT_FORMAT
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from freqtrade.constants import DATETIME_PRINT_FORMAT, USERPATH_STRATEGIES
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from freqtrade.exceptions import OperationalException
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from freqtrade.persistence import Trade
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from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
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from freqtrade.rpc.rpc import RPC, RPCException
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@@ -26,15 +29,15 @@ logger = logging.getLogger(__name__)
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BASE_URI = "/api/v1"
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class ArrowJSONEncoder(JSONEncoder):
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class FTJSONEncoder(JSONEncoder):
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def default(self, obj):
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try:
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if isinstance(obj, Arrow):
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return obj.for_json()
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elif isinstance(obj, date):
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return obj.strftime("%Y-%m-%d")
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elif isinstance(obj, datetime):
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return obj.strftime(DATETIME_PRINT_FORMAT)
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elif isinstance(obj, date):
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return obj.strftime("%Y-%m-%d")
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iterable = iter(obj)
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except TypeError:
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pass
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@@ -108,7 +111,7 @@ class ApiServer(RPC):
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'jwt_secret_key', 'super-secret')
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self.jwt = JWTManager(self.app)
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self.app.json_encoder = ArrowJSONEncoder
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self.app.json_encoder = FTJSONEncoder
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self.app.teardown_appcontext(shutdown_session)
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@@ -160,16 +163,12 @@ class ApiServer(RPC):
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"""
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pass
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def rest_dump(self, return_value):
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""" Helper function to jsonify object for a webserver """
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return jsonify(return_value)
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def rest_error(self, error_msg):
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return jsonify({"error": error_msg}), 502
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def rest_error(self, error_msg, error_code=502):
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return jsonify({"error": error_msg}), error_code
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def register_rest_rpc_urls(self):
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"""
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Registers flask app URLs that are calls to functonality in rpc.rpc.
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Registers flask app URLs that are calls to functionality in rpc.rpc.
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First two arguments passed are /URL and 'Label'
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Label can be used as a shortcut when refactoring
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@@ -212,6 +211,20 @@ class ApiServer(RPC):
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view_func=self._trades, methods=['GET'])
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self.app.add_url_rule(f'{BASE_URI}/trades/<int:tradeid>', 'trades_delete',
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view_func=self._trades_delete, methods=['DELETE'])
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self.app.add_url_rule(f'{BASE_URI}/pair_candles', 'pair_candles',
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view_func=self._analysed_candles, methods=['GET'])
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self.app.add_url_rule(f'{BASE_URI}/pair_history', 'pair_history',
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view_func=self._analysed_history, methods=['GET'])
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self.app.add_url_rule(f'{BASE_URI}/plot_config', 'plot_config',
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view_func=self._plot_config, methods=['GET'])
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self.app.add_url_rule(f'{BASE_URI}/strategies', 'strategies',
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view_func=self._list_strategies, methods=['GET'])
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self.app.add_url_rule(f'{BASE_URI}/strategy/<string:strategy>', 'strategy',
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view_func=self._get_strategy, methods=['GET'])
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self.app.add_url_rule(f'{BASE_URI}/available_pairs', 'pairs',
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view_func=self._list_available_pairs, methods=['GET'])
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# Combined actions and infos
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self.app.add_url_rule(f'{BASE_URI}/blacklist', 'blacklist', view_func=self._blacklist,
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methods=['GET', 'POST'])
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@@ -227,7 +240,7 @@ class ApiServer(RPC):
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"""
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Return "404 not found", 404.
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"""
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return self.rest_dump({
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return jsonify({
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'status': 'error',
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'reason': f"There's no API call for {request.base_url}.",
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'code': 404
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@@ -247,7 +260,7 @@ class ApiServer(RPC):
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'access_token': create_access_token(identity=keystuff),
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'refresh_token': create_refresh_token(identity=keystuff),
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}
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return self.rest_dump(ret)
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return jsonify(ret)
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return jsonify({"error": "Unauthorized"}), 401
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@@ -262,7 +275,7 @@ class ApiServer(RPC):
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new_token = create_access_token(identity=current_user, fresh=False)
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ret = {'access_token': new_token}
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return self.rest_dump(ret)
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return jsonify(ret)
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@require_login
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@rpc_catch_errors
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@@ -272,7 +285,7 @@ class ApiServer(RPC):
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Starts TradeThread in bot if stopped.
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"""
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msg = self._rpc_start()
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return self.rest_dump(msg)
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return jsonify(msg)
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@require_login
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@rpc_catch_errors
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@@ -282,7 +295,7 @@ class ApiServer(RPC):
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Stops TradeThread in bot if running
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"""
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msg = self._rpc_stop()
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return self.rest_dump(msg)
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return jsonify(msg)
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@require_login
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@rpc_catch_errors
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@@ -292,14 +305,14 @@ class ApiServer(RPC):
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Sets max_open_trades to 0 and gracefully sells all open trades
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"""
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msg = self._rpc_stopbuy()
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return self.rest_dump(msg)
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return jsonify(msg)
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@rpc_catch_errors
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def _ping(self):
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"""
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simple poing version
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simple ping version
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"""
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return self.rest_dump({"status": "pong"})
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return jsonify({"status": "pong"})
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@require_login
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@rpc_catch_errors
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@@ -307,7 +320,7 @@ class ApiServer(RPC):
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"""
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Prints the bot's version
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"""
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return self.rest_dump({"version": __version__})
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return jsonify({"version": __version__})
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@require_login
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@rpc_catch_errors
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@@ -315,7 +328,7 @@ class ApiServer(RPC):
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"""
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Prints the bot's version
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"""
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return self.rest_dump(self._rpc_show_config())
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return jsonify(self._rpc_show_config(self._config))
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@require_login
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@rpc_catch_errors
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@@ -325,7 +338,7 @@ class ApiServer(RPC):
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Triggers a config file reload
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"""
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msg = self._rpc_reload_config()
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return self.rest_dump(msg)
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return jsonify(msg)
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@require_login
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@rpc_catch_errors
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@@ -335,7 +348,7 @@ class ApiServer(RPC):
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Returns the number of trades running
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"""
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msg = self._rpc_count()
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return self.rest_dump(msg)
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return jsonify(msg)
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@require_login
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@rpc_catch_errors
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@@ -353,7 +366,7 @@ class ApiServer(RPC):
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self._config.get('fiat_display_currency', '')
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)
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return self.rest_dump(stats)
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return jsonify(stats)
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@require_login
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@rpc_catch_errors
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@@ -365,7 +378,7 @@ class ApiServer(RPC):
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limit: Only get a certain number of records
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"""
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limit = int(request.args.get('limit', 0)) or None
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return self.rest_dump(self._rpc_get_logs(limit))
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return jsonify(self._rpc_get_logs(limit))
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@require_login
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@rpc_catch_errors
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@@ -376,7 +389,7 @@ class ApiServer(RPC):
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"""
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stats = self._rpc_edge()
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return self.rest_dump(stats)
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return jsonify(stats)
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@require_login
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@rpc_catch_errors
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@@ -392,7 +405,7 @@ class ApiServer(RPC):
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self._config.get('fiat_display_currency')
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)
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return self.rest_dump(stats)
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return jsonify(stats)
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@require_login
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@rpc_catch_errors
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@@ -405,7 +418,7 @@ class ApiServer(RPC):
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"""
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stats = self._rpc_performance()
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return self.rest_dump(stats)
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return jsonify(stats)
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@require_login
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@rpc_catch_errors
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@@ -417,9 +430,9 @@ class ApiServer(RPC):
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"""
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try:
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results = self._rpc_trade_status()
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return self.rest_dump(results)
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return jsonify(results)
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except RPCException:
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return self.rest_dump([])
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return jsonify([])
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@require_login
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@rpc_catch_errors
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@@ -431,7 +444,7 @@ class ApiServer(RPC):
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"""
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results = self._rpc_balance(self._config['stake_currency'],
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self._config.get('fiat_display_currency', ''))
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return self.rest_dump(results)
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return jsonify(results)
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@require_login
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@rpc_catch_errors
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@@ -443,7 +456,7 @@ class ApiServer(RPC):
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"""
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limit = int(request.args.get('limit', 0))
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results = self._rpc_trade_history(limit)
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return self.rest_dump(results)
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return jsonify(results)
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@require_login
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@rpc_catch_errors
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@@ -456,7 +469,7 @@ class ApiServer(RPC):
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tradeid: Numeric trade-id assigned to the trade.
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"""
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result = self._rpc_delete(tradeid)
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return self.rest_dump(result)
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return jsonify(result)
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@require_login
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@rpc_catch_errors
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@@ -465,7 +478,7 @@ class ApiServer(RPC):
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Handler for /whitelist.
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"""
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results = self._rpc_whitelist()
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return self.rest_dump(results)
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return jsonify(results)
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@require_login
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@rpc_catch_errors
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@@ -475,7 +488,7 @@ class ApiServer(RPC):
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"""
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add = request.json.get("blacklist", None) if request.method == 'POST' else None
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results = self._rpc_blacklist(add)
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return self.rest_dump(results)
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return jsonify(results)
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@require_login
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@rpc_catch_errors
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@@ -487,9 +500,9 @@ class ApiServer(RPC):
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||||
price = request.json.get("price", None)
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trade = self._rpc_forcebuy(asset, price)
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if trade:
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return self.rest_dump(trade.to_json())
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return jsonify(trade.to_json())
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else:
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return self.rest_dump({"status": f"Error buying pair {asset}."})
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return jsonify({"status": f"Error buying pair {asset}."})
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||||
|
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@require_login
|
||||
@rpc_catch_errors
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@@ -499,4 +512,132 @@ class ApiServer(RPC):
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"""
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tradeid = request.json.get("tradeid")
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results = self._rpc_forcesell(tradeid)
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||||
return self.rest_dump(results)
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||||
return jsonify(results)
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||||
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||||
@require_login
|
||||
@rpc_catch_errors
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||||
def _analysed_candles(self):
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"""
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||||
Handler for /pair_candles.
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||||
Returns the dataframe the bot is using during live/dry operations.
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||||
Takes the following get arguments:
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||||
get:
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||||
parameters:
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||||
- pair: Pair
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||||
- timeframe: Timeframe to get data for (should be aligned to strategy.timeframe)
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||||
- limit: Limit return length to the latest X candles
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||||
"""
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||||
pair = request.args.get("pair")
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||||
timeframe = request.args.get("timeframe")
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||||
limit = request.args.get("limit", type=int)
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||||
if not pair or not timeframe:
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return self.rest_error("Mandatory parameter missing.", 400)
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||||
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results = self._rpc_analysed_dataframe(pair, timeframe, limit)
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||||
return jsonify(results)
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||||
|
||||
@require_login
|
||||
@rpc_catch_errors
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||||
def _analysed_history(self):
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"""
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||||
Handler for /pair_history.
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||||
Returns the dataframe of a given timerange
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||||
Takes the following get arguments:
|
||||
get:
|
||||
parameters:
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||||
- pair: Pair
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||||
- timeframe: Timeframe to get data for (should be aligned to strategy.timeframe)
|
||||
- strategy: Strategy to use - Must exist in configured strategy-path!
|
||||
- timerange: timerange in the format YYYYMMDD-YYYYMMDD (YYYYMMDD- or (-YYYYMMDD))
|
||||
are als possible. If omitted uses all available data.
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||||
"""
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||||
pair = request.args.get("pair")
|
||||
timeframe = request.args.get("timeframe")
|
||||
timerange = request.args.get("timerange")
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||||
strategy = request.args.get("strategy")
|
||||
|
||||
if not pair or not timeframe or not timerange or not strategy:
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||||
return self.rest_error("Mandatory parameter missing.", 400)
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||||
|
||||
config = deepcopy(self._config)
|
||||
config.update({
|
||||
'strategy': strategy,
|
||||
})
|
||||
results = self._rpc_analysed_history_full(config, pair, timeframe, timerange)
|
||||
return jsonify(results)
|
||||
|
||||
@require_login
|
||||
@rpc_catch_errors
|
||||
def _plot_config(self):
|
||||
"""
|
||||
Handler for /plot_config.
|
||||
"""
|
||||
return jsonify(self._rpc_plot_config())
|
||||
|
||||
@require_login
|
||||
@rpc_catch_errors
|
||||
def _list_strategies(self):
|
||||
directory = Path(self._config.get(
|
||||
'strategy_path', self._config['user_data_dir'] / USERPATH_STRATEGIES))
|
||||
from freqtrade.resolvers.strategy_resolver import StrategyResolver
|
||||
strategy_objs = StrategyResolver.search_all_objects(directory, False)
|
||||
strategy_objs = sorted(strategy_objs, key=lambda x: x['name'])
|
||||
|
||||
return jsonify({'strategies': [x['name'] for x in strategy_objs]})
|
||||
|
||||
@require_login
|
||||
@rpc_catch_errors
|
||||
def _get_strategy(self, strategy: str):
|
||||
"""
|
||||
Get a single strategy
|
||||
get:
|
||||
parameters:
|
||||
- strategy: Only get this strategy
|
||||
"""
|
||||
config = deepcopy(self._config)
|
||||
from freqtrade.resolvers.strategy_resolver import StrategyResolver
|
||||
try:
|
||||
strategy_obj = StrategyResolver._load_strategy(strategy, config,
|
||||
extra_dir=config.get('strategy_path'))
|
||||
except OperationalException:
|
||||
return self.rest_error("Strategy not found.", 404)
|
||||
|
||||
return jsonify({
|
||||
'strategy': strategy_obj.get_strategy_name(),
|
||||
'code': strategy_obj.__source__,
|
||||
})
|
||||
|
||||
@require_login
|
||||
@rpc_catch_errors
|
||||
def _list_available_pairs(self):
|
||||
"""
|
||||
Handler for /available_pairs.
|
||||
Returns an object, with pairs, available pair length and pair_interval combinations
|
||||
Takes the following get arguments:
|
||||
get:
|
||||
parameters:
|
||||
- stake_currency: Filter on this stake currency
|
||||
- timeframe: Timeframe to get data for Filter elements to this timeframe
|
||||
"""
|
||||
timeframe = request.args.get("timeframe")
|
||||
stake_currency = request.args.get("stake_currency")
|
||||
|
||||
from freqtrade.data.history import get_datahandler
|
||||
dh = get_datahandler(self._config['datadir'], self._config.get('dataformat_ohlcv', None))
|
||||
|
||||
pair_interval = dh.ohlcv_get_available_data(self._config['datadir'])
|
||||
|
||||
if timeframe:
|
||||
pair_interval = [pair for pair in pair_interval if pair[1] == timeframe]
|
||||
if stake_currency:
|
||||
pair_interval = [pair for pair in pair_interval if pair[0].endswith(stake_currency)]
|
||||
pair_interval = sorted(pair_interval, key=lambda x: x[0])
|
||||
|
||||
pairs = list({x[0] for x in pair_interval})
|
||||
|
||||
result = {
|
||||
'length': len(pairs),
|
||||
'pairs': pairs,
|
||||
'pair_interval': pair_interval,
|
||||
}
|
||||
return jsonify(result)
|
||||
|
@@ -9,9 +9,12 @@ from math import isnan
|
||||
from typing import Any, Dict, List, Optional, Tuple, Union
|
||||
|
||||
import arrow
|
||||
from numpy import NAN, mean
|
||||
from numpy import NAN, int64, mean
|
||||
from pandas import DataFrame
|
||||
|
||||
from freqtrade.configuration.timerange import TimeRange
|
||||
from freqtrade.constants import CANCEL_REASON
|
||||
from freqtrade.data.history import load_data
|
||||
from freqtrade.exceptions import ExchangeError, PricingError
|
||||
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_msecs
|
||||
from freqtrade.loggers import bufferHandler
|
||||
@@ -90,13 +93,12 @@ class RPC:
|
||||
def send_msg(self, msg: Dict[str, str]) -> None:
|
||||
""" Sends a message to all registered rpc modules """
|
||||
|
||||
def _rpc_show_config(self) -> Dict[str, Any]:
|
||||
def _rpc_show_config(self, config) -> Dict[str, Any]:
|
||||
"""
|
||||
Return a dict of config options.
|
||||
Explicitly does NOT return the full config to avoid leakage of sensitive
|
||||
information via rpc.
|
||||
"""
|
||||
config = self._freqtrade.config
|
||||
val = {
|
||||
'dry_run': config['dry_run'],
|
||||
'stake_currency': config['stake_currency'],
|
||||
@@ -117,7 +119,7 @@ class RPC:
|
||||
'forcebuy_enabled': config.get('forcebuy_enable', False),
|
||||
'ask_strategy': config.get('ask_strategy', {}),
|
||||
'bid_strategy': config.get('bid_strategy', {}),
|
||||
'state': str(self._freqtrade.state)
|
||||
'state': str(self._freqtrade.state) if self._freqtrade else '',
|
||||
}
|
||||
return val
|
||||
|
||||
@@ -653,3 +655,80 @@ class RPC:
|
||||
if not self._freqtrade.edge:
|
||||
raise RPCException('Edge is not enabled.')
|
||||
return self._freqtrade.edge.accepted_pairs()
|
||||
|
||||
def _convert_dataframe_to_dict(self, strategy: str, pair: str, timeframe: str,
|
||||
dataframe: DataFrame, last_analyzed: datetime) -> Dict[str, Any]:
|
||||
has_content = len(dataframe) != 0
|
||||
buy_signals = 0
|
||||
sell_signals = 0
|
||||
if has_content:
|
||||
|
||||
dataframe.loc[:, '__date_ts'] = dataframe.loc[:, 'date'].astype(int64) // 1000 // 1000
|
||||
# Move open to seperate column when signal for easy plotting
|
||||
if 'buy' in dataframe.columns:
|
||||
buy_mask = (dataframe['buy'] == 1)
|
||||
buy_signals = int(buy_mask.sum())
|
||||
dataframe.loc[buy_mask, '_buy_signal_open'] = dataframe.loc[buy_mask, 'open']
|
||||
if 'sell' in dataframe.columns:
|
||||
sell_mask = (dataframe['sell'] == 1)
|
||||
sell_signals = int(sell_mask.sum())
|
||||
dataframe.loc[sell_mask, '_sell_signal_open'] = dataframe.loc[sell_mask, 'open']
|
||||
dataframe = dataframe.replace({NAN: None})
|
||||
|
||||
res = {
|
||||
'pair': pair,
|
||||
'timeframe': timeframe,
|
||||
'timeframe_ms': timeframe_to_msecs(timeframe),
|
||||
'strategy': strategy,
|
||||
'columns': list(dataframe.columns),
|
||||
'data': dataframe.values.tolist(),
|
||||
'length': len(dataframe),
|
||||
'buy_signals': buy_signals,
|
||||
'sell_signals': sell_signals,
|
||||
'last_analyzed': last_analyzed,
|
||||
'last_analyzed_ts': int(last_analyzed.timestamp()),
|
||||
'data_start': '',
|
||||
'data_start_ts': 0,
|
||||
'data_stop': '',
|
||||
'data_stop_ts': 0,
|
||||
}
|
||||
if has_content:
|
||||
res.update({
|
||||
'data_start': str(dataframe.iloc[0]['date']),
|
||||
'data_start_ts': int(dataframe.iloc[0]['__date_ts']),
|
||||
'data_stop': str(dataframe.iloc[-1]['date']),
|
||||
'data_stop_ts': int(dataframe.iloc[-1]['__date_ts']),
|
||||
})
|
||||
return res
|
||||
|
||||
def _rpc_analysed_dataframe(self, pair: str, timeframe: str, limit: int) -> Dict[str, Any]:
|
||||
|
||||
_data, last_analyzed = self._freqtrade.dataprovider.get_analyzed_dataframe(
|
||||
pair, timeframe)
|
||||
_data = _data.copy()
|
||||
if limit:
|
||||
_data = _data.iloc[-limit:]
|
||||
return self._convert_dataframe_to_dict(self._freqtrade.config['strategy'],
|
||||
pair, timeframe, _data, last_analyzed)
|
||||
|
||||
def _rpc_analysed_history_full(self, config, pair: str, timeframe: str,
|
||||
timerange: str) -> Dict[str, Any]:
|
||||
timerange_parsed = TimeRange.parse_timerange(timerange)
|
||||
|
||||
_data = load_data(
|
||||
datadir=config.get("datadir"),
|
||||
pairs=[pair],
|
||||
timeframe=timeframe,
|
||||
timerange=timerange_parsed,
|
||||
data_format=config.get('dataformat_ohlcv', 'json'),
|
||||
)
|
||||
from freqtrade.resolvers.strategy_resolver import StrategyResolver
|
||||
strategy = StrategyResolver.load_strategy(config)
|
||||
df_analyzed = strategy.analyze_ticker(_data[pair], {'pair': pair})
|
||||
|
||||
return self._convert_dataframe_to_dict(strategy.get_strategy_name(), pair, timeframe,
|
||||
df_analyzed, arrow.Arrow.utcnow().datetime)
|
||||
|
||||
def _rpc_plot_config(self) -> Dict[str, Any]:
|
||||
|
||||
return self._freqtrade.strategy.plot_config
|
||||
|
@@ -755,7 +755,7 @@ class Telegram(RPC):
|
||||
:param update: message update
|
||||
:return: None
|
||||
"""
|
||||
val = self._rpc_show_config()
|
||||
val = self._rpc_show_config(self._freqtrade.config)
|
||||
if val['trailing_stop']:
|
||||
sl_info = (
|
||||
f"*Initial Stoploss:* `{val['stoploss']}`\n"
|
||||
|
@@ -123,6 +123,8 @@ class IStrategy(ABC):
|
||||
# and wallets - access to the current balance.
|
||||
dp: Optional[DataProvider] = None
|
||||
wallets: Optional[Wallets] = None
|
||||
# container variable for strategy source code
|
||||
__source__: str = ''
|
||||
|
||||
# Definition of plot_config. See plotting documentation for more details.
|
||||
plot_config: Dict = {}
|
||||
|
Reference in New Issue
Block a user