from typing import Optional
from validator_collection import validators
from highcharts_core.decorators import class_sensitive
from highcharts_core.metaclasses import HighchartsMeta
from highcharts_core.options.plot_options.series import SeriesOptions
from highcharts_stock import errors
from highcharts_stock.options.plot_options.base import StockBaseOptions
from highcharts_stock.utility_functions import mro__to_untrimmed_dict
[docs]class ParameterBase(HighchartsMeta):
"""Base class for parameters used to calculate technical indicators."""
def __init__(self, **kwargs):
self._index = None
self._period = None
try:
self.index = kwargs.get('index', None)
except AttributeError:
pass
try:
self.period = kwargs.get('period', None)
except AttributeError:
pass
@property
def index(self) -> Optional[int]:
"""The point value index which selects the value on which :term:`indicator`
calculations will be based. Defaults to ``0``.
For example, using OHLC data, a value of ``2`` means that the indicator will be
calculated using the **Low** value of each data point.
.. note::
When applied to specific indicator types, the default value may change. Please
see the documentation for the specific indicator, as applicable.
:rtype: :class:`int <python:int>` or :obj:`None <python:None>`
"""
return self._index
@index.setter
def index(self, value):
self._index = validators.integer(value,
allow_empty = True,
minimum = 0)
@property
def period(self) -> Optional[int]:
"""The base period for indicator calculations. This is the number of data points
which are taken into account for when calculating the :term:`indicator`. Defaults
to ``14``.
:rtype: :class:`int <python:int>` or :obj:`None <python:None>`
"""
return self._period
@period.setter
def period(self, value):
self._period = validators.integer(value,
allow_empty = True,
minimum = 0)
@classmethod
def _get_kwargs_from_dict(cls, as_dict):
kwargs = {
'index': as_dict.get('index', None),
'period': as_dict.get('period', None)
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = {
'index': self.index,
'period': self.period
}
return untrimmed
[docs]class IndicatorOptions(SeriesOptions, StockBaseOptions):
"""Options for series that can be used as
:term:`technical indicators <technical indicator>` in **Highcharts Stock for Python**.
"""
def __init__(self, **kwargs):
self._compare_start = None
self._compare_to_main = None
self._name = None
self._params = None
try:
self.compare_start = kwargs.get('compare_start', None)
except AttributeError:
pass
self.compare_to_main = kwargs.get('compare_to_main', None)
self.name = kwargs.get('name', None)
self.params = kwargs.get('params', None)
super().__init__(**kwargs)
@property
def compare_to_main(self) -> Optional[bool]:
"""If ``True``, compares the indicator to the main series values. If ``False``,
compares to the indicator values. Defaults to ``False``.
:rtype: :class:`bool <python:bool>` or :obj:`None <python:None>`
"""
return self._compare_to_main
@compare_to_main.setter
def compare_to_main(self, value):
if value is None:
self._compare_to_main = None
else:
self._compare_to_main = bool(value)
@property
def name(self) -> Optional[str]:
"""The name of the series as shown in the legend, tooltip, etc. Defaults to
:obj:`None <python:None>`.
.. note::
If :obj:`None <python:None>`, it will be set automatically based on the
technical indicator type and default
:meth:`.params <highcharts_stock.options.plot_options.indicators.IndicatorOptions.params>`.
:rtype: :class:`str <python:str>` or :obj:`None <python:None>`
"""
return self._name
@name.setter
def name(self, value):
self._name = validators.string(value, allow_empty = True)
@property
def params(self) -> Optional[ParameterBase]:
"""Parameters used in calculating the indicator's data points.
:rtype: :class:`ParameterBase` or :obj:`None <python:None>`
"""
return self._params
@params.setter
@class_sensitive(ParameterBase)
def params(self, value):
self._params = value
@classmethod
def _get_kwargs_from_dict(cls, as_dict):
kwargs = {
'accessibility': as_dict.get('accessibility', None),
'allow_point_select': as_dict.get('allowPointSelect', None),
'animation': as_dict.get('animation', None),
'class_name': as_dict.get('className', None),
'clip': as_dict.get('clip', None),
'color': as_dict.get('color', None),
'cursor': as_dict.get('cursor', None),
'custom': as_dict.get('custom', None),
'dash_style': as_dict.get('dashStyle', None),
'data_labels': as_dict.get('dataLabels', None),
'description': as_dict.get('description', None),
'enable_mouse_tracking': as_dict.get('enableMouseTracking', None),
'events': as_dict.get('events', None),
'include_in_data_export': as_dict.get('includeInDataExport', None),
'keys': as_dict.get('keys', None),
'label': as_dict.get('label', None),
'linked_to': as_dict.get('linkedTo', None),
'marker': as_dict.get('marker', None),
'on_point': as_dict.get('onPoint', None),
'opacity': as_dict.get('opacity', None),
'point': as_dict.get('point', None),
'point_description_formatter': as_dict.get('pointDescriptionFormatter', None),
'selected': as_dict.get('selected', None),
'show_checkbox': as_dict.get('showCheckbox', None),
'show_in_legend': as_dict.get('showInLegend', None),
'skip_keyboard_navigation': as_dict.get('skipKeyboardNavigation', None),
'states': as_dict.get('states', None),
'sticky_tracking': as_dict.get('stickyTracking', None),
'threshold': as_dict.get('threshold', None),
'tooltip': as_dict.get('tooltip', None),
'turbo_threshold': as_dict.get('turboThreshold', None),
'visible': as_dict.get('visible', None),
'animation_limit': as_dict.get('animationLimit', None),
'boost_blending': as_dict.get('boostBlending', None),
'boost_threshold': as_dict.get('boostThreshold', None),
'color_index': as_dict.get('colorIndex', None),
'color_key': as_dict.get('colorKey', None),
'connect_nulls': as_dict.get('connectNulls', None),
'crisp': as_dict.get('crisp', None),
'crop_threshold': as_dict.get('cropThreshold', None),
'data_sorting': as_dict.get('dataSorting', None),
'find_nearest_point_by': as_dict.get('findNearestPointBy', None),
'get_extremes_from_all': as_dict.get('getExtremesFromAll', None),
'linecap': as_dict.get('linecap', None),
'line_width': as_dict.get('lineWidth', None),
'relative_x_value': as_dict.get('relativeXValue', None),
'shadow': as_dict.get('shadow', None),
'soft_threshold': as_dict.get('softThreshold', None),
'step': as_dict.get('step', None),
'zone_axis': as_dict.get('zoneAxis', None),
'zones': as_dict.get('zones', None),
'color_axis': as_dict.get('colorAxis', None),
'connect_ends': as_dict.get('connectEnds', None),
'drag_drop': as_dict.get('dragDrop', None),
'negative_color': as_dict.get('negativeColor', None),
'point_interval': as_dict.get('pointInterval', None),
'point_interval_unit': as_dict.get('pointIntervalUnit', None),
'point_placement': as_dict.get('pointPlacement', None),
'point_start': as_dict.get('pointStart', None),
'stacking': as_dict.get('stacking', None),
'compare_start': as_dict.get('compareStart', None),
'compare_to_main': as_dict.get('compareToMain', None),
'cumulative': as_dict.get('cumulative', None),
'data_as_columns': as_dict.get('dataAsColumns', None),
'data_grouping': as_dict.get('dataGrouping', None),
'gap_size': as_dict.get('gapSize', None),
'gap_unit': as_dict.get('gapUnit', None),
'last_price': as_dict.get('lastPrice', None),
'last_visible_price': as_dict.get('lastVisiblePrice', None),
'name': as_dict.get('name', None),
'params': as_dict.get('params', None),
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
try:
compare_start = self.compare_start
except AttributeError:
compare_start = None
untrimmed = {
'compareStart': compare_start,
'compareToMain': self.compare_to_main,
'name': self.name,
'params': self.params,
}
parent_as_dict = mro__to_untrimmed_dict(self, in_cls = in_cls)
for key in parent_as_dict:
untrimmed[key] = parent_as_dict[key]
return untrimmed
[docs]class ComparableIndicatorOptions(IndicatorOptions):
"""Options for :term:`series` that can be used as
:term:`technical indicators <techincal indicator>` in **Highcharts for Python**, but
which provide for more extensive comparisons against the main series.
"""
def __init__(self, **kwargs):
self._compare = None
self._compare_base = None
self.compare = kwargs.get('compare', None)
self.compare_base = kwargs.get('compare_base', None)
super().__init__(**kwargs)
@property
def compare(self) -> Optional[str]:
"""Determines whether to display the ``'percent'`` or the ``'value'`` of the
indicator's comparison against the main series. Defaults to
:obj:`None <python:None>`, which does not calculate the comparison.
Accepts:
* ``'percent'`` - returns the percentage calculation for the indicator
* ``'value'`` - returns the axis value calculation for the indicator
:rtype: :class:`str <python:str>` or :obj:`None <python:None>`
"""
return self._compare
@compare.setter
def compare(self, value):
if not value:
self._compare = None
else:
value = validators.string(value, allow_empty = True)
value = value.lower()
if value not in ['percent', 'value']:
raise errors.HighchartsValueError(f'compare expects either "percent", or '
f'"value". Received: "{value}"')
self._compare = value
@property
def compare_base(self) -> Optional[int]:
"""When
:meth:`.compare <highcharts_stock.options.plot_options.indicators.ComparableIndicatorOptions.compare>`
is set to ``'percent'``, this option determines whether to use ``0`` or ``100`` as
the basis of comparison. Defaults to ``0``.
Accepts:
* ``0``
* ``100``
:rtype: :class:`int <python:int>` or :obj:`None <python:None>`
"""
return self._compare_base
@compare_base.setter
def compare_base(self, value):
if value is None:
self._compare_base = None
else:
value = validators.integer(value)
if value not in [0, 100]:
raise errors.HighchartsValueError(f'compare_base expects either 0 or 100.'
f'Received: {value}.')
self._compare_base = value
@classmethod
def _get_kwargs_from_dict(cls, as_dict):
kwargs = {
'accessibility': as_dict.get('accessibility', None),
'allow_point_select': as_dict.get('allowPointSelect', None),
'animation': as_dict.get('animation', None),
'class_name': as_dict.get('className', None),
'clip': as_dict.get('clip', None),
'color': as_dict.get('color', None),
'cursor': as_dict.get('cursor', None),
'custom': as_dict.get('custom', None),
'dash_style': as_dict.get('dashStyle', None),
'data_labels': as_dict.get('dataLabels', None),
'description': as_dict.get('description', None),
'enable_mouse_tracking': as_dict.get('enableMouseTracking', None),
'events': as_dict.get('events', None),
'include_in_data_export': as_dict.get('includeInDataExport', None),
'keys': as_dict.get('keys', None),
'label': as_dict.get('label', None),
'linked_to': as_dict.get('linkedTo', None),
'marker': as_dict.get('marker', None),
'on_point': as_dict.get('onPoint', None),
'opacity': as_dict.get('opacity', None),
'point': as_dict.get('point', None),
'point_description_formatter': as_dict.get('pointDescriptionFormatter', None),
'selected': as_dict.get('selected', None),
'show_checkbox': as_dict.get('showCheckbox', None),
'show_in_legend': as_dict.get('showInLegend', None),
'skip_keyboard_navigation': as_dict.get('skipKeyboardNavigation', None),
'states': as_dict.get('states', None),
'sticky_tracking': as_dict.get('stickyTracking', None),
'threshold': as_dict.get('threshold', None),
'tooltip': as_dict.get('tooltip', None),
'turbo_threshold': as_dict.get('turboThreshold', None),
'visible': as_dict.get('visible', None),
'animation_limit': as_dict.get('animationLimit', None),
'boost_blending': as_dict.get('boostBlending', None),
'boost_threshold': as_dict.get('boostThreshold', None),
'color_index': as_dict.get('colorIndex', None),
'color_key': as_dict.get('colorKey', None),
'connect_nulls': as_dict.get('connectNulls', None),
'crisp': as_dict.get('crisp', None),
'crop_threshold': as_dict.get('cropThreshold', None),
'data_sorting': as_dict.get('dataSorting', None),
'find_nearest_point_by': as_dict.get('findNearestPointBy', None),
'get_extremes_from_all': as_dict.get('getExtremesFromAll', None),
'linecap': as_dict.get('linecap', None),
'line_width': as_dict.get('lineWidth', None),
'relative_x_value': as_dict.get('relativeXValue', None),
'shadow': as_dict.get('shadow', None),
'soft_threshold': as_dict.get('softThreshold', None),
'step': as_dict.get('step', None),
'zone_axis': as_dict.get('zoneAxis', None),
'zones': as_dict.get('zones', None),
'color_axis': as_dict.get('colorAxis', None),
'connect_ends': as_dict.get('connectEnds', None),
'drag_drop': as_dict.get('dragDrop', None),
'negative_color': as_dict.get('negativeColor', None),
'point_interval': as_dict.get('pointInterval', None),
'point_interval_unit': as_dict.get('pointIntervalUnit', None),
'point_placement': as_dict.get('pointPlacement', None),
'point_start': as_dict.get('pointStart', None),
'stacking': as_dict.get('stacking', None),
'compare_start': as_dict.get('compareStart', None),
'compare_to_main': as_dict.get('compareToMain', None),
'cumulative': as_dict.get('cumulative', None),
'data_as_columns': as_dict.get('dataAsColumns', None),
'data_grouping': as_dict.get('dataGrouping', None),
'gap_size': as_dict.get('gapSize', None),
'gap_unit': as_dict.get('gapUnit', None),
'last_price': as_dict.get('lastPrice', None),
'last_visible_price': as_dict.get('lastVisiblePrice', None),
'name': as_dict.get('name', None),
'params': as_dict.get('params', None),
'compare': as_dict.get('compare', None),
'compare_base': as_dict.get('compareBase', None),
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = {
'compare': self.compare,
'compareBase': self.compare_base
}
parent_as_dict = mro__to_untrimmed_dict(self, in_cls = in_cls)
for key in parent_as_dict:
untrimmed[key] = parent_as_dict[key]
return untrimmed