本文整理汇总了Python中mozregression.download_manager.DownloadManager.cancel方法的典型用法代码示例。如果您正苦于以下问题:Python DownloadManager.cancel方法的具体用法?Python DownloadManager.cancel怎么用?Python DownloadManager.cancel使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类mozregression.download_manager.DownloadManager
的用法示例。
在下文中一共展示了DownloadManager.cancel方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: ArtifactCache
# 需要导入模块: from mozregression.download_manager import DownloadManager [as 别名]
# 或者: from mozregression.download_manager.DownloadManager import cancel [as 别名]
class ArtifactCache(CacheManager):
'''Fetch Task Cluster artifact URLs and purge least recently used artifacts from disk.'''
def __init__(self, cache_dir, log=None):
# TODO: instead of storing N artifact packages, store M megabytes.
CacheManager.__init__(self, cache_dir, 'fetch', MAX_CACHED_ARTIFACTS, cache_callback=self.delete_file, log=log)
self._cache_dir = cache_dir
size_limit = 1024 * 1024 * 1024 # 1Gb in bytes.
file_limit = 4 # But always keep at least 4 old artifacts around.
persist_limit = PersistLimit(size_limit, file_limit)
self._download_manager = DownloadManager(self._cache_dir, persist_limit=persist_limit)
def delete_file(self, key, value):
try:
os.remove(value)
self.log(logging.INFO, 'artifact',
{'filename': value},
'Purged artifact {filename}')
except (OSError, IOError):
pass
try:
os.remove(value + PROCESSED_SUFFIX)
self.log(logging.INFO, 'artifact',
{'filename': value + PROCESSED_SUFFIX},
'Purged processed artifact {filename}')
except (OSError, IOError):
pass
@cachedmethod(operator.attrgetter('_cache'))
def fetch(self, url, force=False):
# We download to a temporary name like HASH[:16]-basename to
# differentiate among URLs with the same basenames. We used to then
# extract the build ID from the downloaded artifact and use it to make a
# human readable unique name, but extracting build IDs is time consuming
# (especially on Mac OS X, where we must mount a large DMG file).
hash = hashlib.sha256(url).hexdigest()[:16]
fname = hash + '-' + os.path.basename(url)
self.log(logging.INFO, 'artifact',
{'path': os.path.abspath(mozpath.join(self._cache_dir, fname))},
'Downloading to temporary location {path}')
try:
dl = self._download_manager.download(url, fname)
if dl:
dl.wait()
self.log(logging.INFO, 'artifact',
{'path': os.path.abspath(mozpath.join(self._cache_dir, fname))},
'Downloaded artifact to {path}')
return os.path.abspath(mozpath.join(self._cache_dir, fname))
finally:
# Cancel any background downloads in progress.
self._download_manager.cancel()
def print_last_item(self, args, sorted_kwargs, result):
url, = args
self.log(logging.INFO, 'artifact',
{'url': url},
'Last installed binaries from url {url}')
self.log(logging.INFO, 'artifact',
{'filename': result},
'Last installed binaries from local file {filename}')
self.log(logging.INFO, 'artifact',
{'filename': result + PROCESSED_SUFFIX},
'Last installed binaries from local processed file {filename}')
示例2: ArtifactCache
# 需要导入模块: from mozregression.download_manager import DownloadManager [as 别名]
# 或者: from mozregression.download_manager.DownloadManager import cancel [as 别名]
class ArtifactCache(CacheManager):
"""Fetch Task Cluster artifact URLs and purge least recently used artifacts from disk."""
def __init__(self, cache_dir, log=None, skip_cache=False):
# TODO: instead of storing N artifact packages, store M megabytes.
CacheManager.__init__(
self,
cache_dir,
"fetch",
MAX_CACHED_ARTIFACTS,
cache_callback=self.delete_file,
log=log,
skip_cache=skip_cache,
)
self._cache_dir = cache_dir
size_limit = 1024 * 1024 * 1024 # 1Gb in bytes.
file_limit = 4 # But always keep at least 4 old artifacts around.
persist_limit = PersistLimit(size_limit, file_limit)
self._download_manager = DownloadManager(self._cache_dir, persist_limit=persist_limit)
self._last_dl_update = -1
def delete_file(self, key, value):
try:
os.remove(value)
self.log(logging.INFO, "artifact", {"filename": value}, "Purged artifact {filename}")
except (OSError, IOError):
pass
try:
os.remove(value + PROCESSED_SUFFIX)
self.log(
logging.INFO, "artifact", {"filename": value + PROCESSED_SUFFIX}, "Purged processed artifact {filename}"
)
except (OSError, IOError):
pass
@cachedmethod(operator.attrgetter("_cache"))
def fetch(self, url, force=False):
# We download to a temporary name like HASH[:16]-basename to
# differentiate among URLs with the same basenames. We used to then
# extract the build ID from the downloaded artifact and use it to make a
# human readable unique name, but extracting build IDs is time consuming
# (especially on Mac OS X, where we must mount a large DMG file).
hash = hashlib.sha256(url).hexdigest()[:16]
fname = hash + "-" + os.path.basename(url)
path = os.path.abspath(mozpath.join(self._cache_dir, fname))
if self._skip_cache and os.path.exists(path):
self.log(
logging.DEBUG, "artifact", {"path": path}, "Skipping cache: removing cached downloaded artifact {path}"
)
os.remove(path)
self.log(logging.INFO, "artifact", {"path": path}, "Downloading to temporary location {path}")
try:
dl = self._download_manager.download(url, fname)
def download_progress(dl, bytes_so_far, total_size):
percent = (float(bytes_so_far) / total_size) * 100
now = int(percent / 5)
if now == self._last_dl_update:
return
self._last_dl_update = now
self.log(
logging.INFO,
"artifact",
{"bytes_so_far": bytes_so_far, "total_size": total_size, "percent": percent},
"Downloading... {percent:02.1f} %",
)
if dl:
dl.set_progress(download_progress)
dl.wait()
self.log(
logging.INFO,
"artifact",
{"path": os.path.abspath(mozpath.join(self._cache_dir, fname))},
"Downloaded artifact to {path}",
)
return os.path.abspath(mozpath.join(self._cache_dir, fname))
finally:
# Cancel any background downloads in progress.
self._download_manager.cancel()
def print_last_item(self, args, sorted_kwargs, result):
url, = args
self.log(logging.INFO, "artifact", {"url": url}, "Last installed binaries from url {url}")
self.log(logging.INFO, "artifact", {"filename": result}, "Last installed binaries from local file {filename}")
self.log(
logging.INFO,
"artifact",
{"filename": result + PROCESSED_SUFFIX},
"Last installed binaries from local processed file {filename}",
)