636 lines
24 KiB
Python
636 lines
24 KiB
Python
# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from dataclasses import dataclass
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from datetime import date, datetime, time, timedelta, timezone, tzinfo
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from textwrap import dedent
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from typing import (
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TYPE_CHECKING,
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Any,
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List,
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Optional,
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Sequence,
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Tuple,
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TypeVar,
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Union,
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cast,
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)
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from typing_extensions import Final, TypeAlias
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from streamlit.elements.form import current_form_id
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from streamlit.elements.utils import (
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check_callback_rules,
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check_session_state_rules,
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get_label_visibility_proto_value,
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)
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from streamlit.errors import StreamlitAPIException
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from streamlit.js_number import JSNumber, JSNumberBoundsException
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from streamlit.proto.Slider_pb2 import Slider as SliderProto
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from streamlit.runtime.metrics_util import gather_metrics
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from streamlit.runtime.scriptrunner import ScriptRunContext, get_script_run_ctx
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from streamlit.runtime.state import (
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WidgetArgs,
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WidgetCallback,
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WidgetKwargs,
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get_session_state,
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register_widget,
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)
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from streamlit.type_util import Key, LabelVisibility, maybe_raise_label_warnings, to_key
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if TYPE_CHECKING:
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from streamlit.delta_generator import DeltaGenerator
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SliderScalarT = TypeVar("SliderScalarT", int, float, date, time, datetime)
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Step: TypeAlias = Union[int, float, timedelta]
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SliderScalar: TypeAlias = Union[int, float, date, time, datetime]
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SliderValueGeneric: TypeAlias = Union[
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SliderScalarT,
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Sequence[SliderScalarT],
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]
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SliderValue: TypeAlias = Union[
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SliderValueGeneric[int],
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SliderValueGeneric[float],
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SliderValueGeneric[date],
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SliderValueGeneric[time],
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SliderValueGeneric[datetime],
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]
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SliderReturnGeneric: TypeAlias = Union[
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SliderScalarT,
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Tuple[SliderScalarT],
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Tuple[SliderScalarT, SliderScalarT],
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]
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SliderReturn: TypeAlias = Union[
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SliderReturnGeneric[int],
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SliderReturnGeneric[float],
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SliderReturnGeneric[date],
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SliderReturnGeneric[time],
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SliderReturnGeneric[datetime],
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]
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SECONDS_TO_MICROS: Final = 1000 * 1000
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DAYS_TO_MICROS: Final = 24 * 60 * 60 * SECONDS_TO_MICROS
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UTC_EPOCH: Final = datetime(1970, 1, 1, tzinfo=timezone.utc)
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def _time_to_datetime(time_: time) -> datetime:
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# Note, here we pick an arbitrary date well after Unix epoch.
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# This prevents pre-epoch timezone issues (https://bugs.python.org/issue36759)
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# We're dropping the date from datetime later, anyway.
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return datetime.combine(date(2000, 1, 1), time_)
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def _date_to_datetime(date_: date) -> datetime:
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return datetime.combine(date_, time())
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def _delta_to_micros(delta: timedelta) -> int:
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return (
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delta.microseconds
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+ delta.seconds * SECONDS_TO_MICROS
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+ delta.days * DAYS_TO_MICROS
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)
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def _datetime_to_micros(dt: datetime) -> int:
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# The frontend is not aware of timezones and only expects a UTC-based
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# timestamp (in microseconds). Since we want to show the date/time exactly
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# as it is in the given datetime object, we just set the tzinfo to UTC and
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# do not do any timezone conversions. Only the backend knows about
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# original timezone and will replace the UTC timestamp in the deserialization.
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utc_dt = dt.replace(tzinfo=timezone.utc)
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return _delta_to_micros(utc_dt - UTC_EPOCH)
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def _micros_to_datetime(micros: int, orig_tz: Optional[tzinfo]) -> datetime:
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"""Restore times/datetimes to original timezone (dates are always naive)"""
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utc_dt = UTC_EPOCH + timedelta(microseconds=micros)
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# Add the original timezone. No conversion is required here,
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# since in the serialization, we also just replace the timestamp with UTC.
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return utc_dt.replace(tzinfo=orig_tz)
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@dataclass
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class SliderSerde:
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value: List[float]
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data_type: int
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single_value: bool
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orig_tz: Optional[tzinfo]
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def deserialize(self, ui_value: Optional[List[float]], widget_id: str = ""):
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if ui_value is not None:
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val: Any = ui_value
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else:
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# Widget has not been used; fallback to the original value,
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val = self.value
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# The widget always returns a float array, so fix the return type if necessary
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if self.data_type == SliderProto.INT:
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val = [int(v) for v in val]
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if self.data_type == SliderProto.DATETIME:
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val = [_micros_to_datetime(int(v), self.orig_tz) for v in val]
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if self.data_type == SliderProto.DATE:
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val = [_micros_to_datetime(int(v), self.orig_tz).date() for v in val]
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if self.data_type == SliderProto.TIME:
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val = [
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_micros_to_datetime(int(v), self.orig_tz)
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.time()
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.replace(tzinfo=self.orig_tz)
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for v in val
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]
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return val[0] if self.single_value else tuple(val)
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def serialize(self, v: Any) -> List[Any]:
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range_value = isinstance(v, (list, tuple))
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value = list(v) if range_value else [v]
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if self.data_type == SliderProto.DATE:
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value = [_datetime_to_micros(_date_to_datetime(v)) for v in value]
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if self.data_type == SliderProto.TIME:
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value = [_datetime_to_micros(_time_to_datetime(v)) for v in value]
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if self.data_type == SliderProto.DATETIME:
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value = [_datetime_to_micros(v) for v in value]
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return value
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class SliderMixin:
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@gather_metrics("slider")
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def slider(
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self,
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label: str,
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min_value: Optional[SliderScalar] = None,
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max_value: Optional[SliderScalar] = None,
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value: Optional[SliderValue] = None,
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step: Optional[Step] = None,
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format: Optional[str] = None,
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key: Optional[Key] = None,
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help: Optional[str] = None,
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on_change: Optional[WidgetCallback] = None,
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args: Optional[WidgetArgs] = None,
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kwargs: Optional[WidgetKwargs] = None,
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*, # keyword-only arguments:
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disabled: bool = False,
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label_visibility: LabelVisibility = "visible",
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# TODO(harahu): Add overload definitions. The return type is
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# `SliderReturn`, in reality, but the return type is left as `Any`
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# until we have proper overload definitions in place. Otherwise the
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# user would have to cast the return value more often than not, which
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# can be annoying.
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) -> Any:
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r"""Display a slider widget.
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This supports int, float, date, time, and datetime types.
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This also allows you to render a range slider by passing a two-element
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tuple or list as the `value`.
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The difference between `st.slider` and `st.select_slider` is that
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`slider` only accepts numerical or date/time data and takes a range as
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input, while `select_slider` accepts any datatype and takes an iterable
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set of options.
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Parameters
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----------
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label : str
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A short label explaining to the user what this slider is for.
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The label can optionally contain Markdown and supports the following
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elements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.
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This also supports:
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* Emoji shortcodes, such as ``:+1:`` and ``:sunglasses:``.
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For a list of all supported codes,
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see https://share.streamlit.io/streamlit/emoji-shortcodes.
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* LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"
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must be on their own lines). Supported LaTeX functions are listed
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at https://katex.org/docs/supported.html.
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* Colored text, using the syntax ``:color[text to be colored]``,
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where ``color`` needs to be replaced with any of the following
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supported colors: blue, green, orange, red, violet.
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Unsupported elements are unwrapped so only their children (text contents) render.
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Display unsupported elements as literal characters by
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backslash-escaping them. E.g. ``1\. Not an ordered list``.
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For accessibility reasons, you should never set an empty label (label="")
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but hide it with label_visibility if needed. In the future, we may disallow
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empty labels by raising an exception.
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min_value : a supported type or None
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The minimum permitted value.
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Defaults to 0 if the value is an int, 0.0 if a float,
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value - timedelta(days=14) if a date/datetime, time.min if a time
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max_value : a supported type or None
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The maximum permitted value.
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Defaults to 100 if the value is an int, 1.0 if a float,
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value + timedelta(days=14) if a date/datetime, time.max if a time
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value : a supported type or a tuple/list of supported types or None
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The value of the slider when it first renders. If a tuple/list
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of two values is passed here, then a range slider with those lower
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and upper bounds is rendered. For example, if set to `(1, 10)` the
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slider will have a selectable range between 1 and 10.
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Defaults to min_value.
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step : int/float/timedelta or None
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The stepping interval.
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Defaults to 1 if the value is an int, 0.01 if a float,
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timedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time
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(or if max_value - min_value < 1 day)
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format : str or None
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A printf-style format string controlling how the interface should
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display numbers. This does not impact the return value.
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Formatter for int/float supports: %d %e %f %g %i
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Formatter for date/time/datetime uses Moment.js notation:
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https://momentjs.com/docs/#/displaying/format/
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key : str or int
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An optional string or integer to use as the unique key for the widget.
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If this is omitted, a key will be generated for the widget
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based on its content. Multiple widgets of the same type may
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not share the same key.
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help : str
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An optional tooltip that gets displayed next to the slider.
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on_change : callable
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An optional callback invoked when this slider's value changes.
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args : tuple
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An optional tuple of args to pass to the callback.
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kwargs : dict
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An optional dict of kwargs to pass to the callback.
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disabled : bool
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An optional boolean, which disables the slider if set to True. The
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default is False. This argument can only be supplied by keyword.
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label_visibility : "visible" or "hidden" or "collapsed"
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The visibility of the label. If "hidden", the label doesn't show but there
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is still empty space for it above the widget (equivalent to label="").
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If "collapsed", both the label and the space are removed. Default is
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"visible". This argument can only be supplied by keyword.
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Returns
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-------
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int/float/date/time/datetime or tuple of int/float/date/time/datetime
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The current value of the slider widget. The return type will match
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the data type of the value parameter.
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Examples
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--------
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>>> import streamlit as st
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>>>
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>>> age = st.slider('How old are you?', 0, 130, 25)
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>>> st.write("I'm ", age, 'years old')
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And here's an example of a range slider:
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>>> import streamlit as st
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>>>
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>>> values = st.slider(
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... 'Select a range of values',
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... 0.0, 100.0, (25.0, 75.0))
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>>> st.write('Values:', values)
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This is a range time slider:
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>>> import streamlit as st
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>>> from datetime import time
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>>>
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>>> appointment = st.slider(
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... "Schedule your appointment:",
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... value=(time(11, 30), time(12, 45)))
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>>> st.write("You're scheduled for:", appointment)
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Finally, a datetime slider:
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>>> import streamlit as st
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>>> from datetime import datetime
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>>>
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>>> start_time = st.slider(
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... "When do you start?",
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... value=datetime(2020, 1, 1, 9, 30),
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... format="MM/DD/YY - hh:mm")
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>>> st.write("Start time:", start_time)
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.. output::
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https://doc-slider.streamlitapp.com/
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height: 300px
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"""
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ctx = get_script_run_ctx()
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return self._slider(
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label=label,
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min_value=min_value,
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max_value=max_value,
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value=value,
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step=step,
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format=format,
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key=key,
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help=help,
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on_change=on_change,
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args=args,
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kwargs=kwargs,
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disabled=disabled,
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label_visibility=label_visibility,
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ctx=ctx,
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)
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def _slider(
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self,
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label: str,
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min_value=None,
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max_value=None,
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value=None,
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step: Optional[Step] = None,
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format: Optional[str] = None,
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key: Optional[Key] = None,
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help: Optional[str] = None,
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on_change: Optional[WidgetCallback] = None,
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args: Optional[WidgetArgs] = None,
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kwargs: Optional[WidgetKwargs] = None,
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*, # keyword-only arguments:
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disabled: bool = False,
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label_visibility: LabelVisibility = "visible",
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ctx: Optional[ScriptRunContext] = None,
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) -> SliderReturn:
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key = to_key(key)
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check_callback_rules(self.dg, on_change)
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check_session_state_rules(default_value=value, key=key)
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maybe_raise_label_warnings(label, label_visibility)
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if value is None:
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# Set value from session_state if exists.
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session_state = get_session_state().filtered_state
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# we look first to session_state value of the widget because
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# depending on the value (single value or list/tuple) the slider should be
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# initializing differently (either as range or single value slider)
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if key is not None and key in session_state:
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value = session_state[key]
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else:
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# Set value default.
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value = min_value if min_value is not None else 0
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SUPPORTED_TYPES = {
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int: SliderProto.INT,
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float: SliderProto.FLOAT,
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datetime: SliderProto.DATETIME,
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date: SliderProto.DATE,
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time: SliderProto.TIME,
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}
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TIMELIKE_TYPES = (SliderProto.DATETIME, SliderProto.TIME, SliderProto.DATE)
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# Ensure that the value is either a single value or a range of values.
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single_value = isinstance(value, tuple(SUPPORTED_TYPES.keys()))
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range_value = isinstance(value, (list, tuple)) and len(value) in (0, 1, 2)
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if not single_value and not range_value:
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raise StreamlitAPIException(
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"Slider value should either be an int/float/datetime or a list/tuple of "
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"0 to 2 ints/floats/datetimes"
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)
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# Simplify future logic by always making value a list
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if single_value:
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value = [value]
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def all_same_type(items):
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return len(set(map(type, items))) < 2
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if not all_same_type(value):
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raise StreamlitAPIException(
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"Slider tuple/list components must be of the same type.\n"
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f"But were: {list(map(type, value))}"
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)
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if len(value) == 0:
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data_type = SliderProto.INT
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else:
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data_type = SUPPORTED_TYPES[type(value[0])]
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datetime_min = time.min
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datetime_max = time.max
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if data_type == SliderProto.TIME:
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datetime_min = time.min.replace(tzinfo=value[0].tzinfo)
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datetime_max = time.max.replace(tzinfo=value[0].tzinfo)
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if data_type in (SliderProto.DATETIME, SliderProto.DATE):
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datetime_min = value[0] - timedelta(days=14)
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datetime_max = value[0] + timedelta(days=14)
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DEFAULTS = {
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SliderProto.INT: {
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"min_value": 0,
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"max_value": 100,
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"step": 1,
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"format": "%d",
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},
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SliderProto.FLOAT: {
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"min_value": 0.0,
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"max_value": 1.0,
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"step": 0.01,
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"format": "%0.2f",
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},
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SliderProto.DATETIME: {
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"min_value": datetime_min,
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"max_value": datetime_max,
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"step": timedelta(days=1),
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"format": "YYYY-MM-DD",
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},
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SliderProto.DATE: {
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"min_value": datetime_min,
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"max_value": datetime_max,
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"step": timedelta(days=1),
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"format": "YYYY-MM-DD",
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},
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SliderProto.TIME: {
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"min_value": datetime_min,
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"max_value": datetime_max,
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"step": timedelta(minutes=15),
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"format": "HH:mm",
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},
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}
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if min_value is None:
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min_value = DEFAULTS[data_type]["min_value"]
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if max_value is None:
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max_value = DEFAULTS[data_type]["max_value"]
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if step is None:
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step = cast(Step, DEFAULTS[data_type]["step"])
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if data_type in (
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SliderProto.DATETIME,
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SliderProto.DATE,
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) and max_value - min_value < timedelta(days=1):
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step = timedelta(minutes=15)
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if format is None:
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format = cast(str, DEFAULTS[data_type]["format"])
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if step == 0:
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raise StreamlitAPIException(
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"Slider components cannot be passed a `step` of 0."
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)
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# Ensure that all arguments are of the same type.
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slider_args = [min_value, max_value, step]
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int_args = all(map(lambda a: isinstance(a, int), slider_args))
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float_args = all(map(lambda a: isinstance(a, float), slider_args))
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# When min and max_value are the same timelike, step should be a timedelta
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timelike_args = (
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data_type in TIMELIKE_TYPES
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and isinstance(step, timedelta)
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and type(min_value) == type(max_value)
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)
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if not int_args and not float_args and not timelike_args:
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raise StreamlitAPIException(
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"Slider value arguments must be of matching types."
|
|
"\n`min_value` has %(min_type)s type."
|
|
"\n`max_value` has %(max_type)s type."
|
|
"\n`step` has %(step)s type."
|
|
% {
|
|
"min_type": type(min_value).__name__,
|
|
"max_type": type(max_value).__name__,
|
|
"step": type(step).__name__,
|
|
}
|
|
)
|
|
|
|
# Ensure that the value matches arguments' types.
|
|
all_ints = data_type == SliderProto.INT and int_args
|
|
all_floats = data_type == SliderProto.FLOAT and float_args
|
|
all_timelikes = data_type in TIMELIKE_TYPES and timelike_args
|
|
|
|
if not all_ints and not all_floats and not all_timelikes:
|
|
raise StreamlitAPIException(
|
|
"Both value and arguments must be of the same type."
|
|
"\n`value` has %(value_type)s type."
|
|
"\n`min_value` has %(min_type)s type."
|
|
"\n`max_value` has %(max_type)s type."
|
|
% {
|
|
"value_type": type(value).__name__,
|
|
"min_type": type(min_value).__name__,
|
|
"max_type": type(max_value).__name__,
|
|
}
|
|
)
|
|
|
|
# Ensure that min <= value(s) <= max, adjusting the bounds as necessary.
|
|
min_value = min(min_value, max_value)
|
|
max_value = max(min_value, max_value)
|
|
if len(value) == 1:
|
|
min_value = min(value[0], min_value)
|
|
max_value = max(value[0], max_value)
|
|
elif len(value) == 2:
|
|
start, end = value
|
|
if start > end:
|
|
# Swap start and end, since they seem reversed
|
|
start, end = end, start
|
|
value = start, end
|
|
min_value = min(start, min_value)
|
|
max_value = max(end, max_value)
|
|
else:
|
|
# Empty list, so let's just use the outer bounds
|
|
value = [min_value, max_value]
|
|
|
|
# Bounds checks. JSNumber produces human-readable exceptions that
|
|
# we simply re-package as StreamlitAPIExceptions.
|
|
# (We check `min_value` and `max_value` here; `value` and `step` are
|
|
# already known to be in the [min_value, max_value] range.)
|
|
try:
|
|
if all_ints:
|
|
JSNumber.validate_int_bounds(min_value, "`min_value`")
|
|
JSNumber.validate_int_bounds(max_value, "`max_value`")
|
|
elif all_floats:
|
|
JSNumber.validate_float_bounds(min_value, "`min_value`")
|
|
JSNumber.validate_float_bounds(max_value, "`max_value`")
|
|
elif all_timelikes:
|
|
# No validation yet. TODO: check between 0001-01-01 to 9999-12-31
|
|
pass
|
|
except JSNumberBoundsException as e:
|
|
raise StreamlitAPIException(str(e))
|
|
|
|
orig_tz = None
|
|
# Convert dates or times into datetimes
|
|
if data_type == SliderProto.TIME:
|
|
value = list(map(_time_to_datetime, value))
|
|
min_value = _time_to_datetime(min_value)
|
|
max_value = _time_to_datetime(max_value)
|
|
|
|
if data_type == SliderProto.DATE:
|
|
value = list(map(_date_to_datetime, value))
|
|
min_value = _date_to_datetime(min_value)
|
|
max_value = _date_to_datetime(max_value)
|
|
|
|
# Now, convert to microseconds (so we can serialize datetime to a long)
|
|
if data_type in TIMELIKE_TYPES:
|
|
# Restore times/datetimes to original timezone (dates are always naive)
|
|
orig_tz = (
|
|
value[0].tzinfo
|
|
if data_type in (SliderProto.TIME, SliderProto.DATETIME)
|
|
else None
|
|
)
|
|
|
|
value = list(map(_datetime_to_micros, value))
|
|
min_value = _datetime_to_micros(min_value)
|
|
max_value = _datetime_to_micros(max_value)
|
|
step = _delta_to_micros(cast(timedelta, step))
|
|
|
|
# It would be great if we could guess the number of decimal places from
|
|
# the `step` argument, but this would only be meaningful if step were a
|
|
# decimal. As a possible improvement we could make this function accept
|
|
# decimals and/or use some heuristics for floats.
|
|
|
|
slider_proto = SliderProto()
|
|
slider_proto.type = SliderProto.Type.SLIDER
|
|
slider_proto.label = label
|
|
slider_proto.format = format
|
|
slider_proto.default[:] = value
|
|
slider_proto.min = min_value
|
|
slider_proto.max = max_value
|
|
slider_proto.step = cast(float, step)
|
|
slider_proto.data_type = data_type
|
|
slider_proto.options[:] = []
|
|
slider_proto.form_id = current_form_id(self.dg)
|
|
if help is not None:
|
|
slider_proto.help = dedent(help)
|
|
|
|
serde = SliderSerde(value, data_type, single_value, orig_tz)
|
|
|
|
widget_state = register_widget(
|
|
"slider",
|
|
slider_proto,
|
|
user_key=key,
|
|
on_change_handler=on_change,
|
|
args=args,
|
|
kwargs=kwargs,
|
|
deserializer=serde.deserialize,
|
|
serializer=serde.serialize,
|
|
ctx=ctx,
|
|
)
|
|
|
|
# This needs to be done after register_widget because we don't want
|
|
# the following proto fields to affect a widget's ID.
|
|
slider_proto.disabled = disabled
|
|
slider_proto.label_visibility.value = get_label_visibility_proto_value(
|
|
label_visibility
|
|
)
|
|
|
|
if widget_state.value_changed:
|
|
slider_proto.value[:] = serde.serialize(widget_state.value)
|
|
slider_proto.set_value = True
|
|
|
|
self.dg._enqueue("slider", slider_proto)
|
|
return cast(SliderReturn, widget_state.value)
|
|
|
|
@property
|
|
def dg(self) -> "DeltaGenerator":
|
|
"""Get our DeltaGenerator."""
|
|
return cast("DeltaGenerator", self)
|