MetaTrader5 MCP Server

from typing import Any, Dict, Optional, List, Tuple import pandas as pd import numpy as np from .schema import SimplifySpec from .constants import SIMPLIFY_DEFAULT_METHOD, SIMPLIFY_DEFAULT_MODE, SIMPLIFY_DEFAULT_MIN_POINTS, SIMPLIFY_DEFAULT_MAX_POINTS, SIMPLIFY_DEFAULT_RATIO from ..services.simplification import _simplify_dataframe_rows_ext as _simplify_impl from ..utils.simplify import ( _choose_simplify_points as _choose_simplify_points_impl, _select_indices_for_timeseries as _select_indices_for_timeseries_impl, _lttb_select_indices, _rdp_select_indices as _rdp_select_indices_impl, _pla_select_indices as _pla_select_indices_impl, _apca_select_indices as _apca_select_indices_impl, _max_line_error as _max_line_error_impl, _point_line_distance as _point_line_distance_impl, _default_target_points as _default_target_points_impl, _rdp_autotune_epsilon as _rdp_autotune_epsilon_impl, _pla_autotune_max_error as _pla_autotune_max_error_impl, _apca_autotune_max_error as _apca_autotune_max_error_impl ) # Export helper functions that were previously available here __all__ = [ '_simplify_dataframe_rows_ext', '_choose_simplify_points', '_select_indices_for_timeseries', '_lttb_select_indices', '_rdp_select_indices', '_pla_select_indices', '_apca_select_indices' ] def _simplify_dataframe_rows_ext(df: pd.DataFrame, headers: List[str], simplify: SimplifySpec) -> Tuple[pd.DataFrame, Optional[Dict[str, Any]]]: """ Delegate to services.simplification._simplify_dataframe_rows_ext """ return _simplify_impl(df, headers, simplify) def _default_target_points(total: int) -> int: """Default target points when simplify requested without explicit points/ratio.""" return _default_target_points_impl(total) def _choose_simplify_points(total: int, spec: Dict[str, Any]) -> int: """Determine target number of points from a simplify spec.""" return _choose_simplify_points_impl(total, spec) def _point_line_distance(px: float, py: float, x1: float, y1: float, x2: float, y2: float) -> float: """Delegate to utils implementation.""" return _point_line_distance_impl(px, py, x1, y1, x2, y2) def _rdp_select_indices(x: List[float], y: List[float], epsilon: float) -> List[int]: return _rdp_select_indices_impl(x, y, epsilon) def _max_line_error(x: List[float], y: List[float], i0: int, i1: int) -> float: """Delegate to utils implementation.""" return _max_line_error_impl(x, y, i0, i1) def _pla_select_indices(x: List[float], y: List[float], max_error: Optional[float] = None, segments: Optional[int] = None, points: Optional[int] = None) -> List[int]: return _pla_select_indices_impl(x, y, max_error, segments, points) def _apca_select_indices(y: List[float], max_error: Optional[float] = None, segments: Optional[int] = None, points: Optional[int] = None) -> List[int]: return _apca_select_indices_impl(y, max_error, segments, points) def _select_indices_for_timeseries(x: List[float], y: List[float], spec: Optional[Dict[str, Any]]) -> Tuple[List[int], str, Dict[str, Any]]: return _select_indices_for_timeseries_impl(x, y, spec) def _rdp_autotune_epsilon(x: List[float], y: List[float], target_points: int, max_iter: int = 24) -> Tuple[List[int], float]: return _rdp_autotune_epsilon_impl(x, y, target_points, max_iter) def _pla_autotune_max_error(x: List[float], y: List[float], target_points: int, max_iter: int = 24) -> Tuple[List[int], float]: return _pla_autotune_max_error_impl(x, y, target_points, max_iter) def _apca_autotune_max_error(y: List[float], target_points: int, max_iter: int = 24) -> Tuple[List[int], float]: return _apca_autotune_max_error_impl(y, target_points, max_iter) def _simplify_dataframe_rows(df: pd.DataFrame, headers: List[str], simplify: Optional[Dict[str, Any]]) -> Tuple[pd.DataFrame, Optional[Dict[str, Any]]]: """Delegate to utils.simplify implementation to avoid duplication.""" from ..utils.simplify import _simplify_dataframe_rows as _impl return _impl(df, headers, simplify)