def flushTopicDetailpageDesc(self, strategy_id):
data_desc2 = DataDesc()
data_desc2.setSchema(SCHEMA.schema_topic_manage)
data_desc2.setDataType(DATATYPE.data_type_query_topic_media_by_strategy)
data_desc2.setKey(1, strategy_id)
data_desc2.setCached(True, 600)
return data_desc2
def flushTopicDetailpageDesc(self, strategy_id):
data_desc2 = DataDesc()
data_desc2.setSchema(SCHEMA.schema_topic_manage)
data_desc2.setDataType(
DATATYPE.data_type_query_topic_media_by_strategy)
data_desc2.setKey(1, strategy_id)
data_desc2.setCached(True, 600)
return data_desc2
def flushTopicListDesc(self):
data_desc2 = DataDesc()
data_desc2.setSchema(SCHEMA.schema_topic_category)
data_desc2.setDataType(DATATYPE.data_type_query_all)
data_desc2.setCached(True, 600)
return data_desc2
import os
from itertools import permutations
from string import ascii_uppercase
from df import data_function
from df.datamodel.schema import SCHEMA
from df.datamodel.schema import DATATYPE
from df.data_descriptor import DataDesc
x3 = permutations(ascii_uppercase, r=3)
x2 = permutations(ascii_uppercase, r=2)
x1 = permutations(ascii_uppercase, r=1)
data_desc = DataDesc(SCHEMA.schema_search, DATATYPE.data_type_query_all)
data_desc.setCached(True)
for x in x1:
key = "".join(x)
params = {"start": '0', "rows": '200', "type": '0', "search_key": key}
print "processing key ", key
data_desc.setKey(1, params)
data_function.db_get(data_desc)
for x in x2:
key = "".join(x)
params = {"start": '0', "rows": '200', "type": '0', "search_key": key}
print "processing key ", key
data_desc.setKey(1, params)
data_function.db_get(data_desc)
from itertools import permutations
from string import ascii_uppercase
from df import data_function
from df.datamodel.schema import SCHEMA
from df.datamodel.schema import DATATYPE
from df.data_descriptor import DataDesc
x3 = permutations(ascii_uppercase, r=3)
x2 = permutations(ascii_uppercase, r=2)
x1 = permutations(ascii_uppercase, r=1)
data_desc = DataDesc(SCHEMA.schema_search,
DATATYPE.data_type_query_all)
data_desc.setCached(True)
for x in x1:
key = "".join(x)
params = {"start": '0',
"rows": '200',
"type": '0',
"search_key": key}
print "processing key ", key
data_desc.setKey(1, params)
data_function.db_get(data_desc)
for x in x2:
key = "".join(x)
params = {"start": '0',
def flushTopicListDesc(self):
data_desc2 = DataDesc()
data_desc2.setSchema(SCHEMA.schema_topic_category)
data_desc2.setDataType(DATATYPE.data_type_query_all)
data_desc2.setCached(True, 600)
return data_desc2