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Name	Size	Permission
__pycache__	[ DIR ]	drwxr-xr-x
__init__.py	121 B	-rw-r--r--
adaptive.py	4.03 KB	-rw-r--r--
base.py	814 B	-rw-r--r--
bucket.py	3.93 KB	-rw-r--r--
quota.py	1.92 KB	-rw-r--r--
special.py	1.57 KB	-rw-r--r--
standard.py	19.19 KB	-rw-r--r--
throttling.py	1.75 KB	-rw-r--r--

Code Editor : adaptive.py

import math
import logging
import threading

from botocore.retries import bucket
from botocore.retries import throttling
from botocore.retries import standard

logger = logging.getLogger(__name__)

def register_retry_handler(client):
    clock = bucket.Clock()
    rate_adjustor = throttling.CubicCalculator(starting_max_rate=0,
                                               start_time=clock.current_time())
    token_bucket = bucket.TokenBucket(max_rate=1, clock=clock)
    rate_clocker = RateClocker(clock)
    throttling_detector = standard.ThrottlingErrorDetector(
        retry_event_adapter=standard.RetryEventAdapter(),
    )
    limiter = ClientRateLimiter(
        rate_adjustor=rate_adjustor,
        rate_clocker=rate_clocker,
        token_bucket=token_bucket,
        throttling_detector=throttling_detector,
        clock=clock,
    )
    client.meta.events.register(
        'before-send', limiter.on_sending_request,
    )
    client.meta.events.register(
        'needs-retry', limiter.on_receiving_response,
    )
    return limiter

class ClientRateLimiter(object):

_MAX_RATE_ADJUST_SCALE = 2.0

def __init__(self, rate_adjustor, rate_clocker, token_bucket,
                 throttling_detector, clock):
        self._rate_adjustor = rate_adjustor
        self._rate_clocker = rate_clocker
        self._token_bucket = token_bucket
        self._throttling_detector = throttling_detector
        self._clock = clock
        self._enabled = False
        self._lock = threading.Lock()

def on_sending_request(self, request, **kwargs):
        if self._enabled:
            self._token_bucket.acquire()

# Hooked up to needs-retry.
    def on_receiving_response(self, **kwargs):
        measured_rate = self._rate_clocker.record()
        timestamp = self._clock.current_time()
        with self._lock:
            if not self._throttling_detector.is_throttling_error(**kwargs):
                new_rate = self._rate_adjustor.success_received(timestamp)
            else:
                if not self._enabled:
                    rate_to_use = measured_rate
                else:
                    rate_to_use = min(measured_rate, self._token_bucket.max_rate)
                new_rate = self._rate_adjustor.error_received(
                    rate_to_use, timestamp)
                logger.debug("Throttling response received, new send rate: %s "
                             "measured rate: %s, token bucket capacity "
                             "available: %s", new_rate, measured_rate,
                             self._token_bucket.available_capacity)
                self._enabled = True
            self._token_bucket.max_rate = min(
                new_rate, self._MAX_RATE_ADJUST_SCALE * measured_rate)

class RateClocker(object):
    """Tracks the rate at which a client is sending a request."""

_DEFAULT_SMOOTHING = 0.8
    # Update the rate every _TIME_BUCKET_RANGE seconds.
    _TIME_BUCKET_RANGE = 0.5

def __init__(self, clock, smoothing=_DEFAULT_SMOOTHING,
                 time_bucket_range=_TIME_BUCKET_RANGE):
        self._clock = clock
        self._measured_rate = 0
        self._smoothing = smoothing
        self._last_bucket = math.floor(self._clock.current_time())
        self._time_bucket_scale = 1 / self._TIME_BUCKET_RANGE
        self._count = 0
        self._lock = threading.Lock()

def record(self, amount=1):
        with self._lock:
            t = self._clock.current_time()
            bucket = math.floor(
                t * self._time_bucket_scale) / self._time_bucket_scale
            self._count += amount
            if bucket > self._last_bucket:
                current_rate = self._count / float(
                    bucket - self._last_bucket)
                self._measured_rate = (
                    (current_rate * self._smoothing) +
                    (self._measured_rate * (1 - self._smoothing))
                )
                self._count = 0
                self._last_bucket = bucket
            return self._measured_rate

@property
    def measured_rate(self):
        return self._measured_rate

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Code Editor : adaptive.py