Allow changing severity of strategy-validations to log only.

This commit is contained in:
Matthias 2020-05-29 19:37:18 +02:00
parent 9f8b21de4a
commit ea5daee505
6 changed files with 45 additions and 28 deletions

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@ -132,6 +132,7 @@
"process_throttle_secs": 5,
"heartbeat_interval": 60
},
"disable_dataframe_checks": false,
"strategy": "DefaultStrategy",
"strategy_path": "user_data/strategies/",
"dataformat_ohlcv": "json",

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@ -107,6 +107,7 @@ Mandatory parameters are marked as **Required**, which means that they are requi
| `db_url` | Declares database URL to use. NOTE: This defaults to `sqlite:///tradesv3.dryrun.sqlite` if `dry_run` is `true`, and to `sqlite:///tradesv3.sqlite` for production instances. <br> **Datatype:** String, SQLAlchemy connect string
| `initial_state` | Defines the initial application state. More information below. <br>*Defaults to `stopped`.* <br> **Datatype:** Enum, either `stopped` or `running`
| `forcebuy_enable` | Enables the RPC Commands to force a buy. More information below. <br> **Datatype:** Boolean
| `disable_dataframe_checks` | Disable checking the dataframe for correctness. Only use when intentionally changing the dataframe. [Strategy Override](#parameters-in-the-strategy).[Strategy Override](#parameters-in-the-strategy).<br> *Defaults to `False`*. <br> **Datatype:** Boolean
| `strategy` | **Required** Defines Strategy class to use. Recommended to be set via `--strategy NAME`. <br> **Datatype:** ClassName
| `strategy_path` | Adds an additional strategy lookup path (must be a directory). <br> **Datatype:** String
| `internals.process_throttle_secs` | Set the process throttle. Value in second. <br>*Defaults to `5` seconds.* <br> **Datatype:** Positive Integer

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@ -227,6 +227,7 @@ CONF_SCHEMA = {
'db_url': {'type': 'string'},
'initial_state': {'type': 'string', 'enum': ['running', 'stopped']},
'forcebuy_enable': {'type': 'boolean'},
'disable_dataframe_checks': {'type': 'boolean'},
'internals': {
'type': 'object',
'default': {},

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@ -52,37 +52,38 @@ class StrategyResolver(IResolver):
# Set attributes
# Check if we need to override configuration
# (Attribute name, default, ask_strategy)
attributes = [("minimal_roi", {"0": 10.0}, False),
("ticker_interval", None, False),
("stoploss", None, False),
("trailing_stop", None, False),
("trailing_stop_positive", None, False),
("trailing_stop_positive_offset", 0.0, False),
("trailing_only_offset_is_reached", None, False),
("process_only_new_candles", None, False),
("order_types", None, False),
("order_time_in_force", None, False),
("stake_currency", None, False),
("stake_amount", None, False),
("startup_candle_count", None, False),
("unfilledtimeout", None, False),
("use_sell_signal", True, True),
("sell_profit_only", False, True),
("ignore_roi_if_buy_signal", False, True),
# (Attribute name, default, subkey)
attributes = [("minimal_roi", {"0": 10.0}, None),
("ticker_interval", None, None),
("stoploss", None, None),
("trailing_stop", None, None),
("trailing_stop_positive", None, None),
("trailing_stop_positive_offset", 0.0, None),
("trailing_only_offset_is_reached", None, None),
("process_only_new_candles", None, None),
("order_types", None, None),
("order_time_in_force", None, None),
("stake_currency", None, None),
("stake_amount", None, None),
("startup_candle_count", None, None),
("unfilledtimeout", None, None),
("use_sell_signal", True, 'ask_strategy'),
("sell_profit_only", False, 'ask_strategy'),
("ignore_roi_if_buy_signal", False, 'ask_strategy'),
("disable_dataframe_checks", False, 'internals')
]
for attribute, default, ask_strategy in attributes:
if ask_strategy:
StrategyResolver._override_attribute_helper(strategy, config['ask_strategy'],
for attribute, default, subkey in attributes:
if subkey:
StrategyResolver._override_attribute_helper(strategy, config.get(subkey, {}),
attribute, default)
else:
StrategyResolver._override_attribute_helper(strategy, config,
attribute, default)
# Loop this list again to have output combined
for attribute, _, exp in attributes:
if exp and attribute in config['ask_strategy']:
logger.info("Strategy using %s: %s", attribute, config['ask_strategy'][attribute])
for attribute, _, subkey in attributes:
if subkey and attribute in config[subkey]:
logger.info("Strategy using %s: %s", attribute, config[subkey][attribute])
elif attribute in config:
logger.info("Strategy using %s: %s", attribute, config[attribute])

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@ -106,6 +106,9 @@ class IStrategy(ABC):
# run "populate_indicators" only for new candle
process_only_new_candles: bool = False
# Disable checking the dataframe (converts the error into a warning message)
disable_dataframe_checks: bool = False
# Count of candles the strategy requires before producing valid signals
startup_candle_count: int = 0
@ -285,8 +288,7 @@ class IStrategy(ABC):
""" keep some data for dataframes """
return len(dataframe), dataframe["close"].iloc[-1], dataframe["date"].iloc[-1]
@staticmethod
def assert_df(dataframe: DataFrame, df_len: int, df_close: float, df_date: datetime):
def assert_df(self, dataframe: DataFrame, df_len: int, df_close: float, df_date: datetime):
""" make sure data is unmodified """
message = ""
if df_len != len(dataframe):
@ -296,7 +298,10 @@ class IStrategy(ABC):
elif df_date != dataframe["date"].iloc[-1]:
message = "last date"
if message:
raise StrategyError(f"Dataframe returned from strategy has mismatching {message}.")
if self.disable_dataframe_checks:
logger.warning(f"Dataframe returned from strategy has mismatching {message}.")
else:
raise StrategyError(f"Dataframe returned from strategy has mismatching {message}.")
def get_signal(self, pair: str, interval: str, dataframe: DataFrame) -> Tuple[bool, bool]:
"""

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@ -130,7 +130,7 @@ def test_assert_df_raise(default_conf, mocker, caplog, ohlcv_history):
caplog)
def test_assert_df(default_conf, mocker, ohlcv_history):
def test_assert_df(default_conf, mocker, ohlcv_history, caplog):
# Ensure it's running when passed correctly
_STRATEGY.assert_df(ohlcv_history, len(ohlcv_history),
ohlcv_history.loc[1, 'close'], ohlcv_history.loc[1, 'date'])
@ -148,6 +148,14 @@ def test_assert_df(default_conf, mocker, ohlcv_history):
_STRATEGY.assert_df(ohlcv_history, len(ohlcv_history),
ohlcv_history.loc[1, 'close'], ohlcv_history.loc[0, 'date'])
_STRATEGY.disable_dataframe_checks = True
caplog.clear()
_STRATEGY.assert_df(ohlcv_history, len(ohlcv_history),
ohlcv_history.loc[1, 'close'], ohlcv_history.loc[0, 'date'])
assert log_has_re(r"Dataframe returned from strategy.*last date\.", caplog)
# reset to avoid problems in other tests
_STRATEGY.disable_dataframe_checks = False
def test_get_signal_handles_exceptions(mocker, default_conf):
exchange = get_patched_exchange(mocker, default_conf)