gradio-env/Lib/site-packages/huggingface_hub/utils/_telemetry.py

from queue import Queue
from threading import Lock, Thread
from typing import Dict, Optional, Union
from urllib.parse import quote

from .. import constants, logging
from . import build_hf_headers, get_session, hf_raise_for_status


logger = logging.get_logger(__name__)

# Telemetry is sent by a separate thread to avoid blocking the main thread.
# A daemon thread is started once and consume tasks from the _TELEMETRY_QUEUE.
# If the thread stops for some reason -shouldn't happen-, we restart a new one.
_TELEMETRY_THREAD: Optional[Thread] = None
_TELEMETRY_THREAD_LOCK = Lock()  # Lock to avoid starting multiple threads in parallel
_TELEMETRY_QUEUE: Queue = Queue()


def send_telemetry(
    topic: str,
    *,
    library_name: Optional[str] = None,
    library_version: Optional[str] = None,
    user_agent: Union[Dict, str, None] = None,
) -> None:
    """
    Sends telemetry that helps tracking usage of different HF libraries.

    This usage data helps us debug issues and prioritize new features. However, we understand that not everyone wants
    to share additional information, and we respect your privacy. You can disable telemetry collection by setting the
    `HF_HUB_DISABLE_TELEMETRY=1` as environment variable. Telemetry is also disabled in offline mode (i.e. when setting
    `HF_HUB_OFFLINE=1`).

    Telemetry collection is run in a separate thread to minimize impact for the user.

    Args:
        topic (`str`):
            Name of the topic that is monitored. The topic is directly used to build the URL. If you want to monitor
            subtopics, just use "/" separation. Examples: "gradio", "transformers/examples",...
        library_name (`str`, *optional*):
            The name of the library that is making the HTTP request. Will be added to the user-agent header.
        library_version (`str`, *optional*):
            The version of the library that is making the HTTP request. Will be added to the user-agent header.
        user_agent (`str`, `dict`, *optional*):
            The user agent info in the form of a dictionary or a single string. It will be completed with information about the installed packages.

    Example:
    ```py
    >>> from huggingface_hub.utils import send_telemetry

    # Send telemetry without library information
    >>> send_telemetry("ping")

    # Send telemetry to subtopic with library information
    >>> send_telemetry("gradio/local_link", library_name="gradio", library_version="3.22.1")

    # Send telemetry with additional data
    >>> send_telemetry(
    ...     topic="examples",
    ...     library_name="transformers",
    ...     library_version="4.26.0",
    ...     user_agent={"pipeline": "text_classification", "framework": "flax"},
    ... )
    ```
    """
    if constants.HF_HUB_OFFLINE or constants.HF_HUB_DISABLE_TELEMETRY:
        return

    _start_telemetry_thread()  # starts thread only if doesn't exist yet
    _TELEMETRY_QUEUE.put(
        {"topic": topic, "library_name": library_name, "library_version": library_version, "user_agent": user_agent}
    )


def _start_telemetry_thread():
    """Start a daemon thread to consume tasks from the telemetry queue.

    If the thread is interrupted, start a new one.
    """
    with _TELEMETRY_THREAD_LOCK:  # avoid to start multiple threads if called concurrently
        global _TELEMETRY_THREAD
        if _TELEMETRY_THREAD is None or not _TELEMETRY_THREAD.is_alive():
            _TELEMETRY_THREAD = Thread(target=_telemetry_worker, daemon=True)
            _TELEMETRY_THREAD.start()


def _telemetry_worker():
    """Wait for a task and consume it."""
    while True:
        kwargs = _TELEMETRY_QUEUE.get()
        _send_telemetry_in_thread(**kwargs)
        _TELEMETRY_QUEUE.task_done()


def _send_telemetry_in_thread(
    topic: str,
    *,
    library_name: Optional[str] = None,
    library_version: Optional[str] = None,
    user_agent: Union[Dict, str, None] = None,
) -> None:
    """Contains the actual data sending data to the Hub.

    This function is called directly in gradio's analytics because
    it is not possible to send telemetry from a daemon thread.

    See here: https://github.com/gradio-app/gradio/pull/8180

    Please do not rename or remove this function.
    """
    path = "/".join(quote(part) for part in topic.split("/") if len(part) > 0)
    try:
        r = get_session().head(
            f"{constants.ENDPOINT}/api/telemetry/{path}",
            headers=build_hf_headers(
                token=False,  # no need to send a token for telemetry
                library_name=library_name,
                library_version=library_version,
                user_agent=user_agent,
            ),
        )
        hf_raise_for_status(r)
    except Exception as e:
        # We don't want to error in case of connection errors of any kind.
        logger.debug(f"Error while sending telemetry: {e}")