Current File : //proc/self/root/usr/lib/python3/dist-packages/cloudinit/url_helper.py
# Copyright (C) 2012 Canonical Ltd.
# Copyright (C) 2012 Hewlett-Packard Development Company, L.P.
# Copyright (C) 2012 Yahoo! Inc.
#
# Author: Scott Moser <scott.moser@canonical.com>
# Author: Juerg Haefliger <juerg.haefliger@hp.com>
# Author: Joshua Harlow <harlowja@yahoo-inc.com>
#
# This file is part of cloud-init. See LICENSE file for license information.

import copy
import ftplib
import io
import json
import logging
import os
import threading
import time
from concurrent.futures import ThreadPoolExecutor, TimeoutError, as_completed
from email.utils import parsedate
from functools import partial
from http.client import NOT_FOUND
from itertools import count
from ssl import create_default_context
from typing import (
    Any,
    Callable,
    Iterator,
    List,
    Mapping,
    NamedTuple,
    Optional,
    Tuple,
    Union,
)
from urllib.parse import quote, urlparse, urlsplit, urlunparse

import requests
from requests import exceptions

from cloudinit import performance, util, version

LOG = logging.getLogger(__name__)

REDACTED = "REDACTED"
ExceptionCallback = Optional[Callable[["UrlError"], bool]]


def _cleanurl(url):
    parsed_url = list(urlparse(url, scheme="http"))
    if not parsed_url[1] and parsed_url[2]:
        # Swap these since this seems to be a common
        # occurrence when given urls like 'www.google.com'
        parsed_url[1] = parsed_url[2]
        parsed_url[2] = ""
    return urlunparse(parsed_url)


def combine_url(base, *add_ons):
    def combine_single(url, add_on):
        url_parsed = list(urlparse(url))
        path = url_parsed[2]
        if path and not path.endswith("/"):
            path += "/"
        path += quote(str(add_on), safe="/:")
        url_parsed[2] = path
        return urlunparse(url_parsed)

    url = base
    for add_on in add_ons:
        url = combine_single(url, add_on)
    return url


def ftp_get_return_code_from_exception(exc) -> int:
    """helper for read_ftps to map return codes to a number"""
    # ftplib doesn't expose error codes, so use this lookup table
    ftp_error_codes = {
        ftplib.error_reply: 300,  # unexpected [123]xx reply
        ftplib.error_temp: 400,  # 4xx errors
        ftplib.error_perm: 500,  # 5xx errors
        ftplib.error_proto: 600,  # response does not begin with [1-5]
        EOFError: 700,  # made up
        # OSError is also possible. Use OSError.errno for that.
    }
    code = ftp_error_codes.get(type(exc))  # pyright: ignore
    if not code:
        if isinstance(exc, OSError):
            code = exc.errno
        else:
            LOG.warning(
                "Unexpected exception type while connecting to ftp server."
            )
            code = -99
    return code


def read_ftps(url: str, timeout: float = 5.0, **kwargs: dict) -> "FtpResponse":
    """connect to URL using ftp over TLS and read a file

    when using strict mode (ftps://), raise exception in event of failure
    when not using strict mode (ftp://), fall back to using unencrypted ftp

    url: string containing the desination to read a file from. The url is
        parsed with urllib.urlsplit to identify username, password, host,
        path, and port in the following format:
            ftps://[username:password@]host[:port]/[path]
        host is the only required component
    timeout: maximum time for the connection to take
    kwargs: unused, for compatibility with read_url
    returns: UrlResponse
    """

    url_parts = urlsplit(url)
    if not url_parts.hostname:
        raise UrlError(
            cause="Invalid url provided", code=NOT_FOUND, headers=None, url=url
        )
    with io.BytesIO() as buffer:
        port = url_parts.port or 21
        user = url_parts.username or "anonymous"
        if "ftps" == url_parts.scheme:
            try:
                ftp_tls = ftplib.FTP_TLS(
                    context=create_default_context(),
                )
                LOG.debug(
                    "Attempting to connect to %s via port [%s] over tls.",
                    url,
                    port,
                )
                ftp_tls.connect(
                    host=url_parts.hostname,
                    port=port,
                    timeout=timeout or 5.0,  # uses float internally
                )
            except ftplib.all_errors as e:
                code = ftp_get_return_code_from_exception(e)
                raise UrlError(
                    cause=(
                        "Reading file from server over tls "
                        f"failed for url {url} [{code}]"
                    ),
                    code=code,
                    headers=None,
                    url=url,
                ) from e
            LOG.debug("Attempting to login with user [%s]", user)
            try:
                ftp_tls.login(
                    user=user,
                    passwd=url_parts.password or "",
                )
                LOG.debug("Creating a secure connection")
                ftp_tls.prot_p()
            except ftplib.error_perm as e:
                LOG.warning(
                    "Attempted to connect to an insecure ftp server but used "
                    "a scheme of ftps://, which is not allowed. Use ftp:// "
                    "to allow connecting to insecure ftp servers."
                )
                raise UrlError(
                    cause=(
                        "Attempted to connect to an insecure ftp server but "
                        "used a scheme of ftps://, which is not allowed. Use "
                        "ftp:// to allow connecting to insecure ftp servers."
                    ),
                    code=500,
                    headers=None,
                    url=url,
                ) from e
            try:
                LOG.debug("Reading file: %s", url_parts.path)
                ftp_tls.retrbinary(
                    f"RETR {url_parts.path}", callback=buffer.write
                )

                return FtpResponse(buffer.getvalue(), url)
            except ftplib.all_errors as e:
                code = ftp_get_return_code_from_exception(e)
                raise UrlError(
                    cause=(
                        "Reading file from ftp server"
                        f" failed for url {url} [{code}]"
                    ),
                    code=code,
                    headers=None,
                    url=url,
                ) from e
            finally:
                LOG.debug("Closing connection")
                ftp_tls.close()
        else:
            try:
                ftp = ftplib.FTP()
                LOG.debug(
                    "Attempting to connect to %s via port %s.", url, port
                )
                ftp.connect(
                    host=url_parts.hostname,
                    port=port,
                    timeout=timeout or 5.0,  # uses float internally
                )
                LOG.debug("Attempting to login with user [%s]", user)
                ftp.login(
                    user=user,
                    passwd=url_parts.password or "",
                )
                LOG.debug("Reading file: %s", url_parts.path)
                ftp.retrbinary(f"RETR {url_parts.path}", callback=buffer.write)
                return FtpResponse(buffer.getvalue(), url)
            except ftplib.all_errors as e:
                code = ftp_get_return_code_from_exception(e)
                raise UrlError(
                    cause=(
                        "Reading file from ftp server"
                        f" failed for url {url} [{code}]"
                    ),
                    code=code,
                    headers=None,
                    url=url,
                ) from e
            finally:
                LOG.debug("Closing connection")
                ftp.close()


def _read_file(path: str, **kwargs) -> "FileResponse":
    """read a binary file and return a FileResponse

    matches function signature with read_ftps and read_url
    """
    if kwargs.get("data"):
        LOG.warning("Unable to post data to file resource %s", path)
    try:
        contents = util.load_binary_file(path)
        return FileResponse(contents, path)
    except FileNotFoundError as e:
        raise UrlError(cause=e, code=NOT_FOUND, headers=None, url=path) from e
    except IOError as e:
        raise UrlError(cause=e, code=e.errno, headers=None, url=path) from e


def read_file_or_url(
    url, **kwargs
) -> Union["FileResponse", "UrlResponse", "FtpResponse"]:
    """Wrapper function around readurl to allow passing a file path as url.

    When url is not a local file path, passthrough any kwargs to readurl.

    In the case of parameter passthrough to readurl, default values for some
    parameters. See: call-signature of readurl in this module for param docs.
    """
    url = url.lstrip()
    try:
        parsed = urlparse(url)
    except ValueError as e:
        raise UrlError(cause=e, url=url) from e
    scheme = parsed.scheme
    if scheme == "file" or (url and "/" == url[0]):
        return _read_file(parsed.path, **kwargs)
    elif scheme in ("ftp", "ftps"):
        return read_ftps(url, **kwargs)
    elif scheme in ("http", "https"):
        return readurl(url, **kwargs)
    else:
        LOG.warning("Attempting unknown protocol %s", scheme)
        return readurl(url, **kwargs)


# Made to have same accessors as UrlResponse so that the
# read_file_or_url can return this or that object and the
# 'user' of those objects will not need to know the difference.
class StringResponse:
    def __init__(self, contents, url, code=200):
        self.code = code
        self.headers = {}
        self.contents = contents
        self.url = url

    def ok(self, *args, **kwargs):
        return self.code == 200

    def __str__(self):
        return self.contents.decode("utf-8")


class FileResponse(StringResponse):
    def __init__(self, contents: bytes, url: str, code=200):
        super().__init__(contents, url, code=code)


class FtpResponse(StringResponse):
    def __init__(self, contents: bytes, url: str):
        super().__init__(contents, url)


class UrlResponse:
    def __init__(self, response: requests.Response):
        self._response = response

    @property
    def contents(self) -> bytes:
        if self._response.content is None:
            return b""
        return self._response.content

    @property
    def url(self) -> str:
        return self._response.url

    def ok(self, redirects_ok=False) -> bool:
        upper = 300
        if redirects_ok:
            upper = 400
        if 200 <= self.code < upper:
            return True
        else:
            return False

    @property
    def headers(self):
        return self._response.headers

    @property
    def code(self) -> int:
        return self._response.status_code

    def __str__(self):
        return self._response.text

    def iter_content(
        self, chunk_size: Optional[int] = 1, decode_unicode: bool = False
    ) -> Iterator[bytes]:
        """Iterates over the response data.

        When stream=True is set on the request, this avoids reading the content
        at once into memory for large responses.

        :param chunk_size: Number of bytes it should read into memory.
        :param decode_unicode: If True, content will be decoded using the best
        available encoding based on the response.
        """
        yield from self._response.iter_content(chunk_size, decode_unicode)


class UrlError(IOError):
    def __init__(
        self,
        cause: Any,  # This SHOULD be an exception to wrap, but can be anything
        code: Optional[int] = None,
        headers: Optional[Mapping] = None,
        url: Optional[str] = None,
    ):
        IOError.__init__(self, str(cause))
        self.cause = cause
        self.code = code
        self.headers: Mapping = {} if headers is None else headers
        self.url = url


def _get_ssl_args(url, ssl_details):
    ssl_args = {}
    scheme = urlparse(url).scheme
    if scheme == "https" and ssl_details:
        if "ca_certs" in ssl_details and ssl_details["ca_certs"]:
            ssl_args["verify"] = ssl_details["ca_certs"]
        else:
            ssl_args["verify"] = True
        if "cert_file" in ssl_details and "key_file" in ssl_details:
            ssl_args["cert"] = [
                ssl_details["cert_file"],
                ssl_details["key_file"],
            ]
        elif "cert_file" in ssl_details:
            ssl_args["cert"] = str(ssl_details["cert_file"])
    return ssl_args


def _get_retry_after(retry_after: str) -> float:
    """Parse a Retry-After header value into an integer.

    : param retry_after: The value of the Retry-After header.
        https://www.rfc-editor.org/rfc/rfc9110.html#section-10.2.3
        https://www.rfc-editor.org/rfc/rfc2616#section-3.3
    : return: The number of seconds to wait before retrying the request.
    """
    try:
        to_wait = float(retry_after)
    except ValueError:
        # Translate a date such as "Fri, 31 Dec 1999 23:59:59 GMT"
        # into seconds to wait
        try:
            time_tuple = parsedate(retry_after)
            if not time_tuple:
                raise ValueError("Failed to parse Retry-After header value")
            to_wait = float(time.mktime(time_tuple) - time.time())
        except ValueError:
            LOG.info(
                "Failed to parse Retry-After header value: %s. "
                "Waiting 1 second instead.",
                retry_after,
            )
            to_wait = 1
        if to_wait < 0:
            LOG.info(
                "Retry-After header value is in the past. "
                "Waiting 1 second instead."
            )
            to_wait = 1
    return to_wait


def _handle_error(
    error: UrlError,
    *,
    exception_cb: ExceptionCallback = None,
) -> Optional[float]:
    """Handle exceptions raised during request processing.

    If we have no exception callback or the callback handled the error or we
    got a 503, return with an optional timeout so the request can be retried.
    Otherwise, raise the error.

    :param error: The exception raised during the request.
    :param response: The response object.
    :param exception_cb: Callable to handle the exception.

    :return: Optional time to wait before retrying the request.
    """
    if exception_cb and exception_cb(error):
        return None
    if error.code and error.code == 503:
        LOG.warning(
            "Endpoint returned a 503 error. "
            "HTTP endpoint is overloaded. Retrying."
        )
        if error.headers:
            return _get_retry_after(error.headers.get("Retry-After", "1"))
        LOG.info("Unable to introspect response header. Waiting 1 second.")
        return 1
    if not exception_cb:
        return None
    # If exception_cb returned False and there's no 503
    raise error


def readurl(
    url,
    *,
    data=None,
    timeout=None,
    retries=0,
    sec_between=1,
    headers=None,
    headers_cb=None,
    headers_redact=None,
    ssl_details=None,
    check_status=True,
    allow_redirects=True,
    exception_cb: ExceptionCallback = None,
    session=None,
    infinite=False,
    log_req_resp=True,
    request_method="",
    stream: bool = False,
) -> UrlResponse:
    """Wrapper around requests.Session to read the url and retry if necessary

    :param url: Mandatory url to request.
    :param data: Optional form data to post the URL. Will set request_method
        to 'POST' if present.
    :param timeout: Timeout in seconds to wait for a response. May be a tuple
        if specifying (connection timeout, read timeout).
    :param retries: Number of times to retry on exception if exception_cb is
        None or exception_cb returns True for the exception caught. Default is
        to fail with 0 retries on exception.
    :param sec_between: Default 1: amount of seconds passed to time.sleep
        between retries. None or -1 means don't sleep.
    :param headers: Optional dict of headers to send during request
    :param headers_cb: Optional callable returning a dict of values to send as
        headers during request
    :param headers_redact: Optional list of header names to redact from the log
    :param ssl_details: Optional dict providing key_file, ca_certs, and
        cert_file keys for use on in ssl connections.
    :param check_status: Optional boolean set True to raise when HTTPError
        occurs. Default: True.
    :param allow_redirects: Optional boolean passed straight to Session.request
        as 'allow_redirects'. Default: True.
    :param exception_cb: Optional callable to handle exception and returns
        True if retries are permitted.
    :param session: Optional exiting requests.Session instance to reuse.
    :param infinite: Bool, set True to retry indefinitely. Default: False.
    :param log_req_resp: Set False to turn off verbose debug messages.
    :param request_method: String passed as 'method' to Session.request.
        Typically GET, or POST. Default: POST if data is provided, GET
        otherwise.
    :param stream: if False, the response content will be immediately
    downloaded.
    """
    url = _cleanurl(url)
    req_args = {
        "url": url,
        "stream": stream,
    }
    req_args.update(_get_ssl_args(url, ssl_details))
    req_args["allow_redirects"] = allow_redirects
    if not request_method:
        request_method = "POST" if data else "GET"
    req_args["method"] = request_method
    if timeout is not None:
        if isinstance(timeout, tuple):
            req_args["timeout"] = timeout
        else:
            req_args["timeout"] = max(float(timeout), 0)
    if headers_redact is None:
        headers_redact = []
    manual_tries = 1
    if retries:
        manual_tries = max(int(retries) + 1, 1)

    user_agent = "Cloud-Init/%s" % (version.version_string())
    if headers is not None:
        headers = headers.copy()
    else:
        headers = {}

    if data:
        req_args["data"] = data
    if sec_between is None:
        sec_between = -1

    if session is None:
        session = requests.Session()

    # Handle retrying ourselves since the built-in support
    # doesn't handle sleeping between tries...
    for i in count():
        if headers_cb:
            headers = headers_cb(url)

        if "User-Agent" not in headers:
            headers["User-Agent"] = user_agent

        req_args["headers"] = headers
        filtered_req_args = {}
        for k, v in req_args.items():
            if k == "data":
                continue
            if k == "headers" and headers_redact:
                matched_headers = [k for k in headers_redact if v.get(k)]
                if matched_headers:
                    filtered_req_args[k] = copy.deepcopy(v)
                    for key in matched_headers:
                        filtered_req_args[k][key] = REDACTED
            else:
                filtered_req_args[k] = v
        raised_exception: Exception
        try:
            if log_req_resp:
                LOG.debug(
                    "[%s/%s] open '%s' with %s configuration",
                    i,
                    "infinite" if infinite else manual_tries,
                    url,
                    filtered_req_args,
                )

            response = session.request(**req_args)

            if check_status:
                response.raise_for_status()
            LOG.debug(
                "Read from %s (%s, %sb) after %s attempts",
                url,
                response.status_code,
                len(response.content),
                (i + 1),
            )
            # Doesn't seem like we can make it use a different
            # subclass for responses, so add our own backward-compat
            # attrs
            return UrlResponse(response)
        except exceptions.SSLError as e:
            # ssl exceptions are not going to get fixed by waiting a
            # few seconds
            raise UrlError(e, url=url) from e
        except exceptions.HTTPError as e:
            url_error = UrlError(
                e,
                code=e.response.status_code,
                headers=e.response.headers,
                url=url,
            )
            raised_exception = e
        except exceptions.RequestException as e:
            url_error = UrlError(e, url=url)
            raised_exception = e
            response = None

        response_sleep_time = _handle_error(
            url_error,
            exception_cb=exception_cb,
        )
        # If our response tells us to wait, then wait even if we're
        # past the max tries
        if not response_sleep_time:
            will_retry = infinite or (i + 1 < manual_tries)
            if not will_retry:
                raise url_error from raised_exception
        sleep_time = response_sleep_time or sec_between

        if sec_between > 0:
            if log_req_resp:
                LOG.debug(
                    "Please wait %s seconds while we wait to try again",
                    sec_between,
                )
            time.sleep(sleep_time)

    raise RuntimeError("This path should be unreachable...")


def _run_func_with_delay(
    func: Callable[..., Any],
    addr: str,
    timeout: int,
    event: threading.Event,
    delay: Optional[float] = None,
) -> Any:
    """Execute func with optional delay"""
    if delay:

        # event returns True iff the flag is set to true: indicating that
        # another thread has already completed successfully, no need to try
        # again - exit early
        if event.wait(timeout=delay):
            return
    return func(addr, timeout)


def dual_stack(
    func: Callable[..., Any],
    addresses: List[str],
    stagger_delay: float = 0.150,
    timeout: int = 10,
) -> Tuple[Optional[str], Optional[UrlResponse]]:
    """execute multiple callbacks in parallel

    Run blocking func against two different addresses staggered with a
    delay. The first call to return successfully is returned from this
    function and remaining unfinished calls are cancelled if they have not
    yet started
    """
    return_result = None
    returned_address = None
    last_exception: Optional[BaseException] = None
    exceptions = []
    is_done = threading.Event()

    # future work: add cancel_futures to Python stdlib ThreadPoolExecutor
    # context manager implementation
    #
    # for now we don't use this feature since it only supports python >3.8
    # and doesn't provide a context manager and only marginal benefit
    executor = ThreadPoolExecutor(max_workers=len(addresses))
    try:
        futures = {
            executor.submit(
                _run_func_with_delay,
                func=func,
                addr=addr,
                timeout=timeout,
                event=is_done,
                delay=(i * stagger_delay),
            ): addr
            for i, addr in enumerate(addresses)
        }

        # handle returned requests in order of completion
        for future in as_completed(futures, timeout=timeout):

            returned_address = futures[future]
            return_exception = future.exception()
            if return_exception:
                last_exception = return_exception
                exceptions.append(last_exception)
            else:
                return_result = future.result()
                if return_result:

                    # communicate to other threads that they do not need to
                    # try: this thread has already succeeded
                    is_done.set()
                    return (returned_address, return_result)

        # No success, return the last exception but log them all for
        # debugging
        if last_exception:
            LOG.debug(
                "Exception(s) %s during request to "
                "%s, raising last exception",
                exceptions,
                returned_address,
            )
            raise last_exception
        else:
            LOG.error("Empty result for address %s", returned_address)
            raise ValueError("No result returned")

    # when max_wait expires, log but don't throw (retries happen)
    except TimeoutError:
        LOG.debug(
            "Timed out waiting for addresses: %s, "
            "exception(s) raised while waiting: %s",
            " ".join(addresses),
            " ".join(map(str, exceptions)),
        )
    finally:
        executor.shutdown(wait=False)

    return (returned_address, return_result)


class HandledResponse(NamedTuple):
    # Set when we have a response to return
    url: Optional[str]
    response: Optional[UrlResponse]

    # Possibly set if we need to try again
    wait_time: Optional[float]


def wait_for_url(
    urls,
    *,
    max_wait: float = float("inf"),
    timeout: Optional[float] = None,
    status_cb: Callable = LOG.debug,  # some sources use different log levels
    headers_cb: Optional[Callable] = None,
    headers_redact=None,
    sleep_time: Optional[float] = None,
    exception_cb: ExceptionCallback = None,
    sleep_time_cb: Optional[Callable[[Any, float], float]] = None,
    request_method: str = "",
    connect_synchronously: bool = True,
    async_delay: float = 0.150,
):
    """Wait for a response from one of the urls provided.

    :param urls: List of urls to try
    :param max_wait: Roughly the maximum time to wait before giving up
        The max time is *actually* len(urls)*timeout as each url will
        be tried once and given the timeout provided.
        a number <= 0 will always result in only one try
    :param timeout: Timeout provided to urlopen
    :param status_cb: Callable with string message when a url is not available
    :param headers_cb: Callable with single argument of url to get headers
        for request.
    :param headers_redact: List of header names to redact from the log
    :param sleep_time: Amount of time to sleep between retries. If this and
        sleep_time_cb are None, the default sleep time defaults to 1 second
        and increases by 1 seconds every 5 tries. Cannot be specified along
        with `sleep_time_cb`.
    :param exception_cb: Callable to handle exception and returns True if
        retries are permitted.
    :param sleep_time_cb: Callable with 2 arguments (response, loop_n) that
        generates the next sleep time. Cannot be specified
        along with 'sleep_time`.
    :param request_method: Indicates the type of HTTP request:
        GET, PUT, or POST
    :param connect_synchronously: If false, enables executing requests
        in parallel
    :param async_delay: Delay before parallel metadata requests, see RFC 6555

    :return: tuple of (url, response contents), on failure, (False, None)

    :raises: UrlError on unrecoverable error
    """

    def default_sleep_time(_, loop_number: int) -> float:
        return sleep_time if sleep_time is not None else loop_number // 5 + 1

    def timeup(max_wait: float, start_time: float, sleep_time: float = 0):
        """Check if time is up based on start time and max wait"""
        if max_wait in (float("inf"), None):
            return False
        return (max_wait <= 0) or (
            time.monotonic() - start_time + sleep_time > max_wait
        )

    def handle_url_response(
        response: Optional[UrlResponse], url: Optional[str]
    ) -> Tuple[Optional[UrlError], str]:
        """Map requests response code/contents to internal "UrlError" type"""
        reason = ""
        url_exc = None
        if not (response and url):
            reason = "Request timed out"
            url_exc = UrlError(ValueError(reason))
            return url_exc, reason
        try:
            # Do this first because it can provide more context for the
            # exception than what comes later
            response._response.raise_for_status()
        except requests.exceptions.HTTPError as e:
            url_exc = UrlError(
                e,
                code=e.response.status_code,
                headers=e.response.headers,
                url=url,
            )
            return url_exc, str(e)
        if not response.contents:
            reason = "empty response [%s]" % (response.code)
            url_exc = UrlError(
                ValueError(reason),
                code=response.code,
                headers=response.headers,
                url=url,
            )
        elif not response.ok():
            # 3xx "errors" wouldn't be covered by the raise_for_status above
            reason = "bad status code [%s]" % (response.code)
            url_exc = UrlError(
                ValueError(reason),
                code=response.code,
                headers=response.headers,
                url=url,
            )
        return (url_exc, reason)

    def read_url_handle_exceptions(
        url_reader_cb: Callable[
            [Any], Tuple[Optional[str], Optional[UrlResponse]]
        ],
        urls: Union[str, List[str]],
        start_time: int,
        exc_cb: ExceptionCallback,
        log_cb: Callable,
    ) -> HandledResponse:
        """Execute request, handle response, optionally log exception"""
        reason = ""
        url = None
        url_exc: Optional[Exception]
        try:
            url, response = url_reader_cb(urls)
            url_exc, reason = handle_url_response(response, url)
            if not url_exc:
                return HandledResponse(url, response, wait_time=None)
        except UrlError as e:
            reason = "request error [%s]" % e
            url_exc = e
        except Exception as e:
            reason = "unexpected error [%s]" % e
            url_exc = e
        time_taken = int(time.monotonic() - start_time)
        max_wait_str = "%ss" % max_wait if max_wait else "unlimited"
        status_msg = "Calling '%s' failed [%s/%s]: %s" % (
            url or getattr(url_exc, "url", "url"),
            time_taken,
            max_wait_str,
            reason,
        )
        log_cb(status_msg)

        return HandledResponse(
            url=None,
            response=None,
            wait_time=(
                _handle_error(url_exc, exception_cb=exc_cb)
                if isinstance(url_exc, UrlError)
                else None
            ),
        )

    def read_url_cb(url: str, timeout: int) -> UrlResponse:
        return readurl(
            url,
            headers={} if headers_cb is None else headers_cb(url),
            headers_redact=headers_redact,
            timeout=timeout,
            check_status=False,
            request_method=request_method,
        )

    def read_url_serial(
        start_time, timeout, exc_cb, log_cb
    ) -> HandledResponse:
        """iterate over list of urls, request each one and handle responses
        and thrown exceptions individually per url
        """

        def url_reader_serial(url: str):
            return (url, read_url_cb(url, timeout))

        wait_times = []
        for url in urls:
            now = time.monotonic()
            if loop_n != 0 and not must_try_again:
                if timeup(max_wait, start_time):
                    return HandledResponse(
                        url=None, response=None, wait_time=None
                    )
                if (
                    max_wait is not None
                    and timeout
                    and (now + timeout > (start_time + max_wait))
                ):
                    # shorten timeout to not run way over max_time
                    timeout = int((start_time + max_wait) - now)

            out = read_url_handle_exceptions(
                url_reader_serial, url, start_time, exc_cb, log_cb
            )
            if out.response:
                return out
            elif out.wait_time:
                wait_times.append(out.wait_time)
        wait_time = max(wait_times) if wait_times else None
        return HandledResponse(url=None, response=None, wait_time=wait_time)

    def read_url_parallel(
        start_time, timeout, exc_cb, log_cb
    ) -> HandledResponse:
        """pass list of urls to dual_stack which sends requests in parallel
        handle response and exceptions of the first endpoint to respond
        """
        url_reader_parallel = partial(
            dual_stack,
            read_url_cb,
            stagger_delay=async_delay,
            timeout=timeout,
        )
        return read_url_handle_exceptions(
            url_reader_parallel, urls, start_time, exc_cb, log_cb
        )

    start_time = time.monotonic()
    if sleep_time and sleep_time_cb:
        raise ValueError("sleep_time and sleep_time_cb are mutually exclusive")

    # Dual-stack support factored out serial and parallel execution paths to
    # allow the retry loop logic to exist separately from the http calls.
    # Serial execution should be fundamentally the same as before, but with a
    # layer of indirection so that the parallel dual-stack path may use the
    # same max timeout logic.
    do_read_url = (
        read_url_serial if connect_synchronously else read_url_parallel
    )

    calculate_sleep_time = sleep_time_cb or default_sleep_time

    loop_n: int = 0
    response = None
    while True:
        resp = do_read_url(start_time, timeout, exception_cb, status_cb)
        must_try_again = False
        if resp.response:
            return resp.url, resp.response.contents
        elif resp.wait_time:
            time.sleep(resp.wait_time)
            loop_n = loop_n + 1
            must_try_again = True
            continue

        current_sleep_time = calculate_sleep_time(response, loop_n)
        if timeup(max_wait, start_time, current_sleep_time):
            break

        loop_n = loop_n + 1
        LOG.debug(
            "Please wait %s seconds while we wait to try again",
            current_sleep_time,
        )
        time.sleep(current_sleep_time)

        # shorten timeout to not run way over max_time
        current_time = time.monotonic()
        if timeout and current_time + timeout > start_time + max_wait:
            timeout = max_wait - (current_time - start_time)
            if timeout <= 0:
                # We've already exceeded our max_wait. Time to bail.
                break

    return False, None


class OauthUrlHelper:
    def __init__(
        self,
        consumer_key=None,
        token_key=None,
        token_secret=None,
        consumer_secret=None,
        skew_data_file="/run/oauth_skew.json",
    ):
        self.consumer_key = consumer_key
        self.consumer_secret = consumer_secret or ""
        self.token_key = token_key
        self.token_secret = token_secret
        self.skew_data_file = skew_data_file
        self._do_oauth = True
        self.skew_change_limit = 5
        required = (self.token_key, self.token_secret, self.consumer_key)
        if not any(required):
            self._do_oauth = False
        elif not all(required):
            raise ValueError(
                "all or none of token_key, token_secret, or "
                "consumer_key can be set"
            )

        old = self.read_skew_file()
        self.skew_data = old or {}

    def read_skew_file(self):
        if self.skew_data_file and os.path.isfile(self.skew_data_file):
            with performance.Timed(f"Reading {self.skew_data_file}"), open(
                self.skew_data_file, mode="r"
            ) as fp:
                return json.load(fp)
        return None

    def update_skew_file(self, host, value):
        # this is not atomic
        if not self.skew_data_file:
            return
        cur = self.read_skew_file()
        if cur is None:
            cur = {}
        cur[host] = value
        with performance.Timed(f"Writing {self.skew_data_file}"), open(
            self.skew_data_file, mode="w"
        ) as fp:
            fp.write(json.dumps(cur))

    def exception_cb(self, exception):
        if not (
            isinstance(exception, UrlError)
            and (exception.code == 403 or exception.code == 401)
        ):
            return

        if "date" not in exception.headers:
            LOG.warning("Missing header 'date' in %s response", exception.code)
            return

        date = exception.headers["date"]
        try:
            remote_time = time.mktime(parsedate(date))
        except Exception as e:
            LOG.warning("Failed to convert datetime '%s': %s", date, e)
            return

        skew = int(remote_time - time.time())
        host = urlparse(exception.url).netloc
        old_skew = self.skew_data.get(host, 0)
        if abs(old_skew - skew) > self.skew_change_limit:
            self.update_skew_file(host, skew)
            LOG.warning("Setting oauth clockskew for %s to %d", host, skew)
        self.skew_data[host] = skew

        return

    def headers_cb(self, url):
        if not self._do_oauth:
            return {}

        timestamp = None
        host = urlparse(url).netloc
        if self.skew_data and host in self.skew_data:
            timestamp = int(time.time()) + self.skew_data[host]

        return oauth_headers(
            url=url,
            consumer_key=self.consumer_key,
            token_key=self.token_key,
            token_secret=self.token_secret,
            consumer_secret=self.consumer_secret,
            timestamp=timestamp,
        )

    def _wrapped(self, wrapped_func, args, kwargs):
        kwargs["headers_cb"] = partial(
            self._headers_cb, kwargs.get("headers_cb")
        )
        kwargs["exception_cb"] = partial(
            self._exception_cb, kwargs.get("exception_cb")
        )
        return wrapped_func(*args, **kwargs)

    def wait_for_url(self, *args, **kwargs):
        return self._wrapped(wait_for_url, args, kwargs)

    def readurl(self, *args, **kwargs):
        return self._wrapped(readurl, args, kwargs)

    def _exception_cb(self, extra_exception_cb, exception):
        ret = True
        try:
            if extra_exception_cb:
                ret = extra_exception_cb(exception)
        finally:
            self.exception_cb(exception)
        return ret

    def _headers_cb(self, extra_headers_cb, url):
        headers = {}
        if extra_headers_cb:
            headers = extra_headers_cb(url)
        headers.update(self.headers_cb(url))
        return headers


def oauth_headers(
    url, consumer_key, token_key, token_secret, consumer_secret, timestamp=None
):
    try:
        import oauthlib.oauth1 as oauth1
    except ImportError as e:
        raise NotImplementedError("oauth support is not available") from e

    if timestamp:
        timestamp = str(timestamp)
    else:
        timestamp = None

    client = oauth1.Client(
        consumer_key,
        client_secret=consumer_secret,
        resource_owner_key=token_key,
        resource_owner_secret=token_secret,
        signature_method=oauth1.SIGNATURE_PLAINTEXT,
        timestamp=timestamp,
    )
    _uri, signed_headers, _body = client.sign(url)
    return signed_headers
¿Qué es la limpieza dental de perros? - Clínica veterinaria


Es la eliminación del sarro y la placa adherida a la superficie de los dientes mediante un equipo de ultrasonidos que garantiza la integridad de las piezas dentales a la vez que elimina en profundidad cualquier resto de suciedad.

A continuación se procede al pulido de los dientes mediante una fresa especial que elimina la placa bacteriana y devuelve a los dientes el aspecto sano que deben tener.

Una vez terminado todo el proceso, se mantiene al perro en observación hasta que se despierta de la anestesia, bajo la atenta supervisión de un veterinario.

¿Cada cuánto tiempo tengo que hacerle una limpieza dental a mi perro?

A partir de cierta edad, los perros pueden necesitar una limpieza dental anual o bianual. Depende de cada caso. En líneas generales, puede decirse que los perros de razas pequeñas suelen acumular más sarro y suelen necesitar una atención mayor en cuanto a higiene dental.


Riesgos de una mala higiene


Los riesgos más evidentes de una mala higiene dental en los perros son los siguientes:

  • Cuando la acumulación de sarro no se trata, se puede producir una inflamación y retracción de las encías que puede descalzar el diente y provocar caídas.
  • Mal aliento (halitosis).
  • Sarro perros
  • Puede ir a más
  • Las bacterias de la placa pueden trasladarse a través del torrente circulatorio a órganos vitales como el corazón ocasionando problemas de endocarditis en las válvulas. Las bacterias pueden incluso acantonarse en huesos (La osteomielitis es la infección ósea, tanto cortical como medular) provocando mucho dolor y una artritis séptica).

¿Cómo se forma el sarro?

El sarro es la calcificación de la placa dental. Los restos de alimentos, junto con las bacterias presentes en la boca, van a formar la placa bacteriana o placa dental. Si la placa no se retira, al mezclarse con la saliva y los minerales presentes en ella, reaccionará formando una costra. La placa se calcifica y se forma el sarro.

El sarro, cuando se forma, es de color blanquecino pero a medida que pasa el tiempo se va poniendo amarillo y luego marrón.

Síntomas de una pobre higiene dental
La señal más obvia de una mala salud dental canina es el mal aliento.

Sin embargo, a veces no es tan fácil de detectar
Y hay perros que no se dejan abrir la boca por su dueño. Por ejemplo…

Recientemente nos trajeron a la clínica a un perro que parpadeaba de un ojo y decía su dueño que le picaba un lado de la cara. Tenía molestias y dificultad para comer, lo que había llevado a sus dueños a comprarle comida blanda (que suele ser un poco más cara y llevar más contenido en grasa) durante medio año. Después de una exploración oftalmológica, nos dimos cuenta de que el ojo tenía una úlcera en la córnea probablemente de rascarse . Además, el canto lateral del ojo estaba inflamado. Tenía lo que en humanos llamamos flemón pero como era un perro de pelo largo, no se le notaba a simple vista. Al abrirle la boca nos llamó la atención el ver una muela llena de sarro. Le realizamos una radiografía y encontramos una fístula que llegaba hasta la parte inferior del ojo.

Le tuvimos que extraer la muela. Tras esto, el ojo se curó completamente con unos colirios y una lentilla protectora de úlcera. Afortunadamente, la úlcera no profundizó y no perforó el ojo. Ahora el perro come perfectamente a pesar de haber perdido una muela.

¿Cómo mantener la higiene dental de tu perro?
Hay varias maneras de prevenir problemas derivados de la salud dental de tu perro.

Limpiezas de dientes en casa
Es recomendable limpiar los dientes de tu perro semanal o diariamente si se puede. Existe una gran variedad de productos que se pueden utilizar:

Pastas de dientes.
Cepillos de dientes o dedales para el dedo índice, que hacen más fácil la limpieza.
Colutorios para echar en agua de bebida o directamente sobre el diente en líquido o en spray.

En la Clínica Tus Veterinarios enseñamos a nuestros clientes a tomar el hábito de limpiar los dientes de sus perros desde que son cachorros. Esto responde a nuestro compromiso con la prevención de enfermedades caninas.

Hoy en día tenemos muchos clientes que limpian los dientes todos los días a su mascota, y como resultado, se ahorran el dinero de hacer limpiezas dentales profesionales y consiguen una mejor salud de su perro.


Limpiezas dentales profesionales de perros y gatos

Recomendamos hacer una limpieza dental especializada anualmente. La realizamos con un aparato de ultrasonidos que utiliza agua para quitar el sarro. Después, procedemos a pulir los dientes con un cepillo de alta velocidad y una pasta especial. Hacemos esto para proteger el esmalte.

La frecuencia de limpiezas dentales necesaria varía mucho entre razas. En general, las razas grandes tienen buena calidad de esmalte, por lo que no necesitan hacerlo tan a menudo e incluso pueden pasarse la vida sin requerir una limpieza. Sin embargo, razas pequeñas como el Yorkshire o el Maltés, deben hacérselas todos los años desde cachorros si se quiere conservar sus piezas dentales.

Otro factor fundamental es la calidad del pienso. Algunas marcas han diseñado croquetas que limpian la superficie del diente y de la muela al masticarse.

Ultrasonido para perros

¿Se necesita anestesia para las limpiezas dentales de perros y gatos?

La limpieza dental en perros no es una técnica que pueda practicarse sin anestesia general , aunque hay veces que los propietarios no quieren anestesiar y si tiene poco sarro y el perro es muy bueno se puede intentar…… , pero no se va a poder pulir ni acceder a todas la zona de la boca …. Además los limpiadores dentales van a irrigar agua y hay riesgo de aspiración a vías respiratorias si no se realiza una anestesia correcta con intubación traqueal . En resumen , sin anestesia no se va hacer una correcta limpieza dental.

Tampoco sirve la sedación ya que necesitamos que el animal esté totalmente quieto, y el veterinario tenga un acceso completo a todas sus piezas dentales y encías.

Alimentos para la limpieza dental

Hay que tener cierto cuidado a la hora de comprar determinados alimentos porque no todos son saludables. Algunos tienen demasiado contenido graso, que en exceso puede causar problemas cardiovasculares y obesidad.

Los mejores alimentos para los dientes son aquellos que están elaborados por empresas farmacéuticas y llevan componentes químicos con tratamientos específicos para el diente del perro. Esto implica no solo limpieza a través de la acción mecánica de morder sino también un tratamiento antibacteriano para prevenir el sarro.

Conclusión

Si eres como la mayoría de dueños, por falta de tiempo , es probable que no estés prestando la suficiente atención a la limpieza dental de tu perro. Por eso te animamos a que comiences a limpiar los dientes de tu perro y consideres atender a su higiene bucal con frecuencia.

Estas simples medidas pueden conllevar a que tu perro tenga una vida más larga y mucho más saludable.

Si te resulta imposible introducir un cepillo de dientes a tu perro en la boca, pásate con él por clínica Tus Veterinarios y te explicamos cómo hacerlo.

Necesitas hacer una limpieza dental profesional a tu mascota?
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