Python DogStatsd.__exit__方法代碼示例

# 需要導入模塊: from datadog.dogstatsd.base import DogStatsd [as 別名]
# 或者: from datadog.dogstatsd.base.DogStatsd import __exit__ [as 別名]

#.........這裏部分代碼省略.........
    def before_request(self):
        """
        Flask-Datadog middleware handle for before each request
        """
        # Set the request start time
        g.flask_datadog_start_time = time.time()
        g.flask_datadog_request_tags = []

        # Add some default request tags
        if self.config['DATADOG_RESPONSE_AUTO_TAG']:
            self.add_request_tags([
                # Endpoint tag
                '{tag_name}:{endpoint}'.format(tag_name=self.config['DATADOG_RESPONSE_ENDPOINT_TAG_NAME'],
                                               endpoint=str(request.endpoint).lower()),
                # Method tag
                '{tag_name}:{method}'.format(tag_name=self.config['DATADOG_RESPONSE_METHOD_TAG_NAME'],
                                             method=request.method.lower()),
            ])

    def after_request(self, response):
        """
        Flask-Datadog middleware handler for after each request

        :param response: the response to be sent to the client
        :type response: ``flask.Response``
        :rtype: ``flask.Response``
        """
        # Return early if we don't have the start time
        if not hasattr(g, 'flask_datadog_start_time'):
            return response

        # Get the response time for this request
        elapsed = time.time() - g.flask_datadog_start_time
        # Convert the elapsed time to milliseconds if they want them
        if self.use_ms:
            elapsed = int(round(1000 * elapsed))

        # Add some additional response tags
        if self.config['DATADOG_RESPONSE_AUTO_TAG']:
            self.add_request_tags(['status_code:%s' % (response.status_code, )])

        # Emit our timing metric
        self.statsd.timing(self.config['DATADOG_RESPONSE_METRIC_NAME'],
                           elapsed,
                           self.get_request_tags(),
                           self.config['DATADOG_RESPONSE_SAMPLE_RATE'])

        # We ALWAYS have to return the original response
        return response

    def get_request_tags(self):
        """
        Get the current list of tags set for this request

        :rtype: list
        """
        return getattr(g, 'flask_datadog_request_tags', [])

    def add_request_tags(self, tags):
        """
        Add the provided list of tags to the tags stored for this request

        :param tags: tags to add to this requests tags
        :type tags: list
        :rtype: list
        """
        # Get the current list of tags to append to
        # DEV: We use this method since ``self.get_request_tags`` will ensure that we get a list back
        current_tags = self.get_request_tags()

        # Append our new tags, and return the new full list of tags for this request
        g.flask_datadog_request_tags = current_tags + tags
        return g.flask_datadog_request_tags

    def __getattr__(self, name):
        """
        Magic method for fetching any underlying attributes from `self.statsd`

        We utilize `__getattr__` to ensure that we are always compatible with
        the `DogStatsd` client.
        """
        # If `self.statsd` has the attribute then return that attribute
        if self.statsd and hasattr(self.statsd, name):
            return getattr(self.statsd, name)
        raise AttributeError('\'StatsD\' has has attribute \'{name}\''.format(name=name))

    def __enter__(self):
        """
        Helper to expose the underlying `DogStatsd` client for context managing

        >>> statsd = StatsD(app=app)
        >>> # Batch any metrics within the `with` block
        >>> with statsd:
        >>>   statsd.increment('metric')
        """
        return self.statsd.__enter__()

    def __exit__(self, *args, **kwargs):
        """Helper to expose the underlying `DogStatsd` client for context managing"""
        return self.statsd.__exit__(*args, **kwargs)