本文整理汇总了Python中contact_gc.GCContact.update_sync_tags方法的典型用法代码示例。如果您正苦于以下问题：Python GCContact.update_sync_tags方法的具体用法？Python GCContact.update_sync_tags怎么用？Python GCContact.update_sync_tags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contact_gc.GCContact的用法示例。
在下文中一共展示了GCContact.update_sync_tags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: batch_create
# 需要导入模块: from contact_gc import GCContact [as 别名]
# 或者: from contact_gc.GCContact import update_sync_tags [as 别名]
def batch_create (self, src_sl, src_dbid, items):
"""See the documentation in folder.Folder"""
my_dbid = self.get_dbid()
c = self.get_config()
pname = src_sl.get_pname()
src_sync_tag = c.make_sync_label(src_sl.get_pname(), src_dbid)
dst_sync_tag = c.make_sync_label(src_sl.get_pname(), my_dbid)
f = self.get_db().new_feed()
stats = BatchState(1, f, 'insert', sync_tag=dst_sync_tag)
success = True
for item in items:
con_itemid = item.get_itemid_from_synctags(pname, 'gc')
gc = GCContact(self, con=item, con_itemid=con_itemid)
bid = item.get_itemid()
gc.update_sync_tags(src_sync_tag, bid)
gce = gc.get_gce()
stats.add_con(bid, new=gc, orig=item)
f.add_insert(entry=gce, batch_id_string=bid)
stats.incr_cnt()
if stats.get_cnt() % self.get_batch_size() == 0:
# Feeds have to be less than 1MB. We can push this some
# more. FIXME.
logging.debug('Uploading new batch # %02d to Google. ' +
'Count: %3d. Size: %6.2fK',
stats.get_bnum(), stats.get_cnt(),
stats.get_size())
rf = self.get_db().exec_batch(f)
succ, cons = stats.process_batch_response(rf)
success = success and succ
f = self.get_db().new_feed()
stats = BatchState(stats.get_bnum()+1, f, 'insert',
sync_tag=dst_sync_tag)
# Upload any leftovers
if stats.get_cnt() > 0:
logging.debug('New Batch # %02d. Count: %3d. Size: %5.2fK',
stats.get_bnum(), stats.get_cnt(),
stats.get_size())
rf = self.get_db().exec_batch(f)
succ, cons = stats.process_batch_response(rf)
success = success and succ
return success示例2: batch_update
# 需要导入模块: from contact_gc import GCContact [as 别名]
# 或者: from contact_gc.GCContact import update_sync_tags [as 别名]
def batch_update (self, sync_list, src_dbid, items):
"""See the documentation in folder.Folder"""
# Updates and deletes on google require not just the entryid but also
# its correct etag which is a version identifier. This is to ensure
# two apps do not overwrite each other's work without even knowing
# about it. So we need to approach this in two steps: (a) Fetch the
# ContactEntries for all the items we are interested in. the returned
# entry objects have all the required info, including the latest
# etag. (b) Modify the same entry with the local updates and send it
# back
my_dbid = self.get_dbid()
c = self.get_config()
pname = sync_list.get_pname()
src_sync_tag = c.make_sync_label(pname, src_dbid)
dst_sync_tag = c.make_sync_label(pname, my_dbid)
tags = [item.get_sync_tags(dst_sync_tag)[0] for item in items]
gcids = [val for (tag, val) in tags]
logging.debug('Refreshing etags for modified entries...')
success, ces = self._fetch_gc_entries(gcids)
etags = [copy.deepcopy(ce.etag) for ce in ces]
f = self.get_db().new_feed()
stats = BatchState(1, f, 'update', sync_tag=dst_sync_tag)
for item, etag in zip(items, etags):
gc = GCContact(self, con=item)
bid = item.get_itemid()
gc.update_sync_tags(src_sync_tag, bid)
gce = gc.get_gce()
gce.etag = etag
stats.add_con(bid, new=gc, orig=item)
f.add_update(entry=gce, batch_id_string=bid)
stats.incr_cnt()
if stats.get_cnt() % self.get_batch_size() == 0:
# Feeds have to be less than 1MB. We can push this some
# more. FIXME.
logging.debug('Uploading mod batch # %02d to Google. ' +
'Count: %3d. Size: %6.2fK',
stats.get_bnum(), stats.get_cnt(),
stats.get_size())
rf = self.get_db().exec_batch(f)
succ, cons = stats.process_batch_response(rf)
success = success and succ
f = self.get_db().new_feed()
stats = BatchState(stats.get_bnum()+1, f, 'update',
sync_tag=dst_sync_tag)
# Upload any leftovers
if stats.get_cnt() > 0:
logging.debug('Mod Batch # %02d. Count: %3d. Size: %5.2fK',
stats.get_bnum(), stats.get_cnt(),
stats.get_size())
rf = self.get_db().exec_batch(f)
succ, cons = stats.process_batch_response(rf)
success = success and succ
return success