def initialize(self):
self.cache = yield mongo_cache.createCache('tags_lite_cache',
lambda d : func.updateDict(d, {'_id': d['tag_name']}))
self.tagsCache.addDependent(self)
# Force any already-cached values to be cached
tags = yield self.tagsCache.cache.query({})
for tagDict in tags:
self.workQueue.add(self._removeDetailAndCache, 'load', tagDict)
def initialize(self):
self.cache = yield mongo_cache.createCache(
"tags_lite_cache", lambda d: func.updateDict(d, {"_id": d["tag_name"]})
)
self.tagsCache.addDependent(self)
# Force any already-cached values to be cached
tags = yield self.tagsCache.cache.query({})
for tagDict in tags:
self.workQueue.add(self._removeDetailAndCache, "load", tagDict)
def initialize(self):
cacheId = lambda d: func.updateDict(d, {"_id": d["user_name"] + "_" + d["pipeline_name"]})
self.cache = yield mongo_cache.createCache("pipelines_cache", cacheId)
self.persistManager.addDependent(self)
self.tagNotify.addDependent(self)
pipelines = yield defer_utils.tryUntil(
10, lambda: self.persistManager.loadAllPipelinesByAdmin({}), onFailure=defer_utils.sleep(2)
)
for pipeline in pipelines:
self.workQueue.add(self._pipelineToDictAndCache, "load", pipeline)
def initialize(self):
cacheId = lambda d : func.updateDict(d, {'_id': d['user_name'] +
'_' +
d['pipeline_name']})
self.cache = yield mongo_cache.createCache('pipelines_cache',
cacheId)
self.persistManager.addDependent(self)
self.tagNotify.addDependent(self)
pipelines = yield defer_utils.tryUntil(10,
lambda : self.persistManager.loadAllPipelinesByAdmin({}),
onFailure=defer_utils.sleep(2))
for pipeline in pipelines:
self.workQueue.add(self._pipelineToDictAndCache, 'load', pipeline)
def initialize(self):
self.cache = yield mongo_cache.createCache("tags_cache", lambda d: func.updateDict(d, {"_id": d["tag_name"]}))
self.persistManager.addDependent(self)
# If there are a lot of tags we want to parallelize caching them
self.workQueue.parallel = 100
# Force all tags to be cached
tags = yield self.persistManager.listTags()
for tagName in tags:
yield self.persistManager.loadTag(tagName)
yield defer_work_queue.waitForCompletion(self.workQueue)
# Now that we are done, set it back to 1
self.workQueue.parallel = 1
def initialize(self):
self.cache = yield mongo_cache.createCache('tags_cache',
lambda d : func.updateDict(d, {'_id': d['tag_name']}))
self.persistManager.addDependent(self)
# If there are a lot of tags we want to parallelize caching them
self.workQueue.parallel = 100
# Force all tags to be cached
tags = yield self.persistManager.listTags()
for tagName in tags:
yield self.persistManager.loadTag(tagName)
yield defer_work_queue.waitForCompletion(self.workQueue)
# Now that we are done, set it back to 1
self.workQueue.parallel = 1
