#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors.
# All rights reserved.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#-----------------------------------------------------------------------------
"""
"""
#-----------------------------------------------------------------------------
# Boilerplate
#-----------------------------------------------------------------------------
from __future__ import annotations
import logging # isort:skip
log = logging.getLogger(__name__)
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
# Standard library imports
from collections.abc import (
Container,
Iterable,
Mapping,
Sequence,
Sized,
)
from typing import TYPE_CHECKING, Any
# Bokeh imports
from ...util.serialization import decode_base64_dict, transform_column_source_data
from ._sphinx import property_link, register_type_link, type_link
from .bases import ContainerProperty, DeserializationError
from .descriptors import ColumnDataPropertyDescriptor
from .enum import Enum
from .numeric import Int
from .singletons import Undefined
from .wrappers import PropertyValueColumnData, PropertyValueDict, PropertyValueList
if TYPE_CHECKING:
from ...document.events import DocumentPatchedEvent
#-----------------------------------------------------------------------------
# Globals and constants
#-----------------------------------------------------------------------------
__all__ = (
'Array',
'ColumnData',
'Dict',
'List',
'RelativeDelta',
'RestrictedDict',
'Seq',
'Tuple',
)
#-----------------------------------------------------------------------------
# General API
#-----------------------------------------------------------------------------
[docs]class Seq(ContainerProperty):
""" Accept non-string ordered sequences of values, e.g. list, tuple, array.
"""
def __init__(self, item_type, default=Undefined, help=None) -> None:
self.item_type = self._validate_type_param(item_type)
super().__init__(default=default, help=help)
def __str__(self) -> str:
return f"{self.__class__.__name__}({self.item_type})"
@property
def type_params(self):
return [self.item_type]
def from_json(self, json, *, models=None):
if isinstance(json, list):
return self._new_instance([ self.item_type.from_json(item, models=models) for item in json ])
else:
raise DeserializationError(f"{self} expected a list, got {json}")
def validate(self, value, detail=True):
super().validate(value, True)
if self._is_seq(value) and all(self.item_type.is_valid(item) for item in value):
return
if self._is_seq(value):
invalid = []
for item in value:
if not self.item_type.is_valid(item):
invalid.append(item)
msg = "" if not detail else f"expected an element of {self}, got seq with invalid items {invalid!r}"
raise ValueError(msg)
msg = "" if not detail else f"expected an element of {self}, got {value!r}"
raise ValueError(msg)
@classmethod
def _is_seq(cls, value):
return ((isinstance(value, Sequence) or cls._is_seq_like(value)) and
not isinstance(value, str))
@classmethod
def _is_seq_like(cls, value):
return (isinstance(value, (Container, Sized, Iterable))
and hasattr(value, "__getitem__") # NOTE: this is what makes it disallow set type
and not isinstance(value, Mapping))
def _new_instance(self, value):
return value
[docs]class List(Seq):
""" Accept Python list values.
"""
def __init__(self, item_type, default=[], help=None) -> None:
# todo: refactor to not use mutable objects as default values.
# Left in place for now because we want to allow None to express
# optional values. Also in Dict.
super().__init__(item_type, default=default, help=help)
def wrap(self, value):
""" Some property types need to wrap their values in special containers, etc.
"""
if isinstance(value, list):
if isinstance(value, PropertyValueList):
return value
else:
return PropertyValueList(value)
else:
return value
@classmethod
def _is_seq(cls, value):
return isinstance(value, list)
[docs]class Array(Seq):
""" Accept NumPy array values.
"""
@classmethod
def _is_seq(cls, value):
import numpy as np
return isinstance(value, np.ndarray)
def _new_instance(self, value):
import numpy as np
return np.array(value)
[docs]class Dict(ContainerProperty):
""" Accept Python dict values.
If a default value is passed in, then a shallow copy of it will be
used for each new use of this property.
"""
def __init__(self, keys_type, values_type, default={}, help=None) -> None:
self.keys_type = self._validate_type_param(keys_type)
self.values_type = self._validate_type_param(values_type)
super().__init__(default=default, help=help)
def __str__(self) -> str:
return f"{self.__class__.__name__}({self.keys_type}, {self.values_type})"
@property
def type_params(self):
return [self.keys_type, self.values_type]
def from_json(self, json, *, models=None):
if isinstance(json, dict):
return { self.keys_type.from_json(key, models=models): self.values_type.from_json(value, models=models) for key, value in json.items() }
else:
raise DeserializationError(f"{self} expected a dict, got {json}")
def validate(self, value, detail=True):
super().validate(value, detail)
key_is_valid = self.keys_type.is_valid
value_is_valid = self.values_type.is_valid
if isinstance(value, dict) and all(key_is_valid(key) and value_is_valid(val) for key, val in value.items()):
return
msg = "" if not detail else f"expected an element of {self}, got {value!r}"
raise ValueError(msg)
def wrap(self, value):
""" Some property types need to wrap their values in special containers, etc.
"""
if isinstance(value, dict):
if isinstance(value, PropertyValueDict):
return value
else:
return PropertyValueDict(value)
else:
return value
[docs]class ColumnData(Dict):
""" Accept a Python dictionary suitable as the ``data`` attribute of a
:class:`~bokeh.models.sources.ColumnDataSource`.
This class is a specialization of ``Dict`` that handles efficiently
encoding columns that are NumPy arrays.
"""
def make_descriptors(self, base_name):
""" Return a list of ``ColumnDataPropertyDescriptor`` instances to
install on a class, in order to delegate attribute access to this
property.
Args:
base_name (str) : the name of the property these descriptors are for
Returns:
list[ColumnDataPropertyDescriptor]
The descriptors returned are collected by the ``MetaHasProps``
metaclass and added to ``HasProps`` subclasses during class creation.
"""
return [ ColumnDataPropertyDescriptor(base_name, self) ]
def from_json(self, json, *, models=None):
""" Decodes column source data encoded as lists or base64 strings.
"""
if not isinstance(json, dict):
raise DeserializationError(f"{self} expected a dict, got {json}")
new_data = {}
for key, value in json.items():
key = self.keys_type.from_json(key, models=models)
if isinstance(value, dict) and '__ndarray__' in value:
new_data[key] = decode_base64_dict(value)
elif isinstance(value, list) and any(isinstance(el, dict) and '__ndarray__' in el for el in value):
new_list = []
for el in value:
if isinstance(el, dict) and '__ndarray__' in el:
el = decode_base64_dict(el)
elif isinstance(el, list):
el = self.values_type.from_json(el)
new_list.append(el)
new_data[key] = new_list
else:
new_data[key] = self.values_type.from_json(value, models=models)
return new_data
def _hinted_value(self, value: Any, hint: DocumentPatchedEvent | None) -> Any:
from ...document.events import ColumnDataChangedEvent, ColumnsStreamedEvent
if isinstance(hint, ColumnDataChangedEvent):
return { col: hint.column_source.data[col] for col in hint.cols }
if isinstance(hint, ColumnsStreamedEvent):
return hint.data
return value
def serialize_value(self, value):
return transform_column_source_data(value)
def wrap(self, value):
""" Some property types need to wrap their values in special containers, etc.
"""
if isinstance(value, dict):
if isinstance(value, PropertyValueColumnData):
return value
else:
return PropertyValueColumnData(value)
else:
return value
[docs]class Tuple(ContainerProperty):
""" Accept Python tuple values.
"""
def __init__(self, tp1, tp2, *type_params, **kwargs) -> None:
self._type_params = list(map(self._validate_type_param, (tp1, tp2) + type_params))
super().__init__(default=kwargs.get("default", Undefined), help=kwargs.get("help"))
def __str__(self) -> str:
item_types = ", ".join(str(x) for x in self.type_params)
return f"{self.__class__.__name__}({item_types})"
@property
def type_params(self):
return self._type_params
def from_json(self, json, *, models=None):
if isinstance(json, list):
return tuple(type_param.from_json(item, models=models) for type_param, item in zip(self.type_params, json))
else:
raise DeserializationError(f"{self} expected a list, got {json}")
def validate(self, value, detail=True):
super().validate(value, detail)
if isinstance(value, (tuple, list)) and len(self.type_params) == len(value):
if all(type_param.is_valid(item) for type_param, item in zip(self.type_params, value)):
return
msg = "" if not detail else f"expected an element of {self}, got {value!r}"
raise ValueError(msg)
def transform(self, value):
""" Change the value into a JSON serializable format.
"""
return tuple(typ.transform(x) for (typ, x) in zip(self.type_params, value))
def serialize_value(self, value):
""" Change the value into a JSON serializable format.
"""
return tuple(typ.serialize_value(x) for (typ, x) in zip(self.type_params, value))
[docs]class RelativeDelta(Dict):
""" Accept RelativeDelta dicts for time delta values.
"""
def __init__(self, default={}, help=None) -> None:
keys = Enum("years", "months", "days", "hours", "minutes", "seconds", "microseconds")
values = Int
super().__init__(keys, values, default=default, help=help)
def __str__(self) -> str:
return self.__class__.__name__
[docs]class RestrictedDict(Dict):
""" Check for disallowed key(s).
"""
def __init__(self, keys_type, values_type, disallow, default={}, help=None) -> None:
self._disallow = set(disallow)
super().__init__(keys_type=keys_type, values_type=values_type, default=default, help=help)
def validate(self, value, detail=True):
super().validate(value, detail)
error_keys = self._disallow & value.keys()
if error_keys:
msg = "" if not detail else f"Disallowed keys: {error_keys!r}"
raise ValueError(msg)
#-----------------------------------------------------------------------------
# Dev API
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Private API
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
@register_type_link(Dict)
def _sphinx_type_dict(obj):
return f"{property_link(obj)}({type_link(obj.keys_type)}, {type_link(obj.values_type)})"
@register_type_link(Seq)
def _sphinx_type_seq(obj):
return f"{property_link(obj)}({type_link(obj.item_type)})"
@register_type_link(Tuple)
def _sphinx_type_tuple(obj):
item_types = ", ".join(type_link(x) for x in obj.type_params)
return f"{property_link(obj)}({item_types})"