import json import logging from collections.abc import Sequence from datetime import datetime from typing import Any, ClassVar, Optional from sqlalchemy import DateTime, ForeignKey, Integer, String, Text, UniqueConstraint, select from sqlalchemy.orm import Mapped, mapped_column, relationship from freqtrade.constants import DATETIME_PRINT_FORMAT from freqtrade.persistence.base import ModelBase, SessionType from freqtrade.util import dt_now logger = logging.getLogger(__name__) class _CustomData(ModelBase): """ CustomData database model Keeps records of metadata as key/value store for trades or global persistent values One to many relationship with Trades: - One trade can have many metadata entries - One metadata entry can only be associated with one Trade """ __tablename__ = "trade_custom_data" __allow_unmapped__ = True session: ClassVar[SessionType] # Uniqueness should be ensured over pair, order_id # its likely that order_id is unique per Pair on some exchanges. __table_args__ = (UniqueConstraint("ft_trade_id", "cd_key", name="_trade_id_cd_key"),) id = mapped_column(Integer, primary_key=True) ft_trade_id = mapped_column(Integer, ForeignKey("trades.id"), index=True) trade = relationship("Trade", back_populates="custom_data") cd_key: Mapped[str] = mapped_column(String(255), nullable=False) cd_type: Mapped[str] = mapped_column(String(25), nullable=False) cd_value: Mapped[str] = mapped_column(Text, nullable=False) created_at: Mapped[datetime] = mapped_column(DateTime, nullable=False, default=dt_now) updated_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True) # Empty container value - not persisted, but filled with cd_value on query value: Any = None def __repr__(self): create_time = ( self.created_at.strftime(DATETIME_PRINT_FORMAT) if self.created_at is not None else None ) update_time = ( self.updated_at.strftime(DATETIME_PRINT_FORMAT) if self.updated_at is not None else None ) return ( f"CustomData(id={self.id}, key={self.cd_key}, type={self.cd_type}, " + f"value={self.cd_value}, trade_id={self.ft_trade_id}, created={create_time}, " + f"updated={update_time})" ) @classmethod def query_cd( cls, key: Optional[str] = None, trade_id: Optional[int] = None ) -> Sequence["_CustomData"]: """ Get all CustomData, if trade_id is not specified return will be for generic values not tied to a trade :param trade_id: id of the Trade """ filters = [] if trade_id is not None: filters.append(_CustomData.ft_trade_id == trade_id) if key is not None: filters.append(_CustomData.cd_key.ilike(key)) return _CustomData.session.scalars(select(_CustomData).filter(*filters)).all() class CustomDataWrapper: """ CustomData middleware class Abstracts the database layer away so it becomes optional - which will be necessary to support backtesting and hyperopt in the future. """ use_db = True custom_data: list[_CustomData] = [] unserialized_types = ["bool", "float", "int", "str"] @staticmethod def _convert_custom_data(data: _CustomData) -> _CustomData: if data.cd_type in CustomDataWrapper.unserialized_types: data.value = data.cd_value if data.cd_type == "bool": data.value = data.cd_value.lower() == "true" elif data.cd_type == "int": data.value = int(data.cd_value) elif data.cd_type == "float": data.value = float(data.cd_value) else: data.value = json.loads(data.cd_value) return data @staticmethod def reset_custom_data() -> None: """ Resets all key-value pairs. Only active for backtesting mode. """ if not CustomDataWrapper.use_db: CustomDataWrapper.custom_data = [] @staticmethod def delete_custom_data(trade_id: int) -> None: _CustomData.session.query(_CustomData).filter(_CustomData.ft_trade_id == trade_id).delete() _CustomData.session.commit() @staticmethod def get_custom_data(*, trade_id: int, key: Optional[str] = None) -> list[_CustomData]: if CustomDataWrapper.use_db: filters = [ _CustomData.ft_trade_id == trade_id, ] if key is not None: filters.append(_CustomData.cd_key.ilike(key)) filtered_custom_data = _CustomData.session.scalars( select(_CustomData).filter(*filters) ).all() else: filtered_custom_data = [ data_entry for data_entry in CustomDataWrapper.custom_data if (data_entry.ft_trade_id == trade_id) ] if key is not None: filtered_custom_data = [ data_entry for data_entry in filtered_custom_data if (data_entry.cd_key.casefold() == key.casefold()) ] return [CustomDataWrapper._convert_custom_data(d) for d in filtered_custom_data] @staticmethod def set_custom_data(trade_id: int, key: str, value: Any) -> None: value_type = type(value).__name__ if value_type not in CustomDataWrapper.unserialized_types: try: value_db = json.dumps(value) except TypeError as e: logger.warning(f"could not serialize {key} value due to {e}") return else: value_db = str(value) if trade_id is None: trade_id = 0 custom_data = CustomDataWrapper.get_custom_data(trade_id=trade_id, key=key) if custom_data: data_entry = custom_data[0] data_entry.cd_value = value_db data_entry.updated_at = dt_now() else: data_entry = _CustomData( ft_trade_id=trade_id, cd_key=key, cd_type=value_type, cd_value=value_db, created_at=dt_now(), ) data_entry.value = value if CustomDataWrapper.use_db and value_db is not None: _CustomData.session.add(data_entry) _CustomData.session.commit() else: if not custom_data: CustomDataWrapper.custom_data.append(data_entry) # Existing data will have updated interactively.