components/download_button.pyi

"""gr.UploadButton() component."""

from __future__ import annotations

import tempfile
from pathlib import Path
from typing import Callable, Literal

from gradio_client import file
from gradio_client.documentation import document

from gradio.components.base import Component
from gradio.data_classes import FileData
from gradio.events import Events

from gradio.events import Dependency

@document()
class DownloadButton(Component):
    """
    Creates a button, that when clicked, allows a user to download a single file of arbitrary type.

    Demos: upload_and_download
    """

    EVENTS = [Events.click]

    def __init__(
        self,
        label: str = "Download",
        value: str | Path | Callable | None = None,
        *,
        every: float | None = None,
        variant: Literal["primary", "secondary", "stop"] = "secondary",
        visible: bool = True,
        size: Literal["sm", "lg"] | None = None,
        icon: str | None = None,
        scale: int | None = None,
        min_width: int | None = None,
        interactive: bool = True,
        elem_id: str | None = None,
        elem_classes: list[str] | str | None = None,
        render: bool = True,
        key: int | str | None = None,
    ):
        """
        Parameters:
            label: Text to display on the button. Defaults to "Download".
            value: A str or pathlib.Path filepath or URL to download, or a Callable that returns a str or pathlib.Path filepath or URL to download.
            every: If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute.
            variant: 'primary' for main call-to-action, 'secondary' for a more subdued style, 'stop' for a stop button.
            visible: If False, component will be hidden.
            size: Size of the button. Can be "sm" or "lg".
            icon: URL or path to the icon file to display within the button. If None, no icon will be displayed.
            scale: relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.
            min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
            interactive: If False, the UploadButton will be in a disabled state.
            elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
            elem_classes: An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.
            render: If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.
            key: if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved.
        """
        self.data_model = FileData
        self.size = size
        self.label = label
        self.variant = variant
        super().__init__(
            label=label,
            every=every,
            visible=visible,
            elem_id=elem_id,
            elem_classes=elem_classes,
            render=render,
            key=key,
            value=value,
            scale=scale,
            min_width=min_width,
            interactive=interactive,
        )
        self.icon = self.serve_static_file(icon)

    def preprocess(self, payload: FileData | None) -> str | None:
        """
        Parameters:
            payload: File information as a FileData object,
        Returns:
            (Rarely used) passes the file as a `str` into the function.
        """
        if payload is None:
            return None
        file_name = payload.path
        file = tempfile.NamedTemporaryFile(delete=False, dir=self.GRADIO_CACHE)
        file.name = file_name
        return file_name

    def postprocess(self, value: str | Path | None) -> FileData | None:
        """
        Parameters:
            value: Expects a `str` or `pathlib.Path` filepath
        Returns:
            File information as a FileData object
        """
        if value is None:
            return None
        return FileData(path=str(value))

    def example_payload(self) -> dict:
        return file(
            "https://github.com/gradio-app/gradio/raw/main/test/test_files/sample_file.pdf"
        )

    def example_value(self) -> str:
        return "https://github.com/gradio-app/gradio/raw/main/test/test_files/sample_file.pdf"

    @property
    def skip_api(self):
        return False

    
    def click(self,
        fn: Callable | None,
        inputs: Component | Sequence[Component] | set[Component] | None = None,
        outputs: Component | Sequence[Component] | None = None,
        api_name: str | None | Literal[False] = None,
        scroll_to_output: bool = False,
        show_progress: Literal["full", "minimal", "hidden"] = "full",
        queue: bool | None = None,
        batch: bool = False,
        max_batch_size: int = 4,
        preprocess: bool = True,
        postprocess: bool = True,
        cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
        every: float | None = None,
        trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
        js: str | None = None,
        concurrency_limit: int | None | Literal["default"] = "default",
        concurrency_id: str | None = None,
        show_api: bool = True) -> Dependency:
        """
        Parameters:
            fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
            inputs: List of gradio.components to use as inputs. If the function takes no inputs, this should be an empty list.
            outputs: List of gradio.components to use as outputs. If the function returns no outputs, this should be an empty list.
            api_name: Defines how the endpoint appears in the API docs. Can be a string, None, or False. If False, the endpoint will not be exposed in the api docs. If set to None, the endpoint will be exposed in the api docs as an unnamed endpoint, although this behavior will be changed in Gradio 4.0. If set to a string, the endpoint will be exposed in the api docs with the given name.
            scroll_to_output: If True, will scroll to output component on completion
            show_progress: If True, will show progress animation while pending
            queue: If True, will place the request on the queue, if the queue has been enabled. If False, will not put this event on the queue, even if the queue has been enabled. If None, will use the queue setting of the gradio app.
            batch: If True, then the function should process a batch of inputs, meaning that it should accept a list of input values for each parameter. The lists should be of equal length (and be up to length `max_batch_size`). The function is then *required* to return a tuple of lists (even if there is only 1 output component), with each list in the tuple corresponding to one output component.
            max_batch_size: Maximum number of inputs to batch together if this is called from the queue (only relevant if batch=True)
            preprocess: If False, will not run preprocessing of component data before running 'fn' (e.g. leaving it as a base64 string if this method is called with the `Image` component).
            postprocess: If False, will not run postprocessing of component data before returning 'fn' output to the browser.
            cancels: A list of other events to cancel when this listener is triggered. For example, setting cancels=[click_event] will cancel the click_event, where click_event is the return value of another components .click method. Functions that have not yet run (or generators that are iterating) will be cancelled, but functions that are currently running will be allowed to finish.
            every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds.
            trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` and `.key_up()` events) would allow a second submission after the pending event is complete.
            js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
            concurrency_limit: If set, this is the maximum number of this event that can be running simultaneously. Can be set to None to mean no concurrency_limit (any number of this event can be running simultaneously). Set to "default" to use the default concurrency limit (defined by the `default_concurrency_limit` parameter in `Blocks.queue()`, which itself is 1 by default).
            concurrency_id: If set, this is the id of the concurrency group. Events with the same concurrency_id will be limited by the lowest set concurrency_limit.
            show_api: whether to show this event in the "view API" page of the Gradio app, or in the ".view_api()" method of the Gradio clients. Unlike setting api_name to False, setting show_api to False will still allow downstream apps as well as the Clients to use this event. If fn is None, show_api will automatically be set to False.
        """
        ...