Python DataDesc.setCached Beispiele

Beispiel #1

Datei: topic_manage_handler.py Projekt: wanziforever/statistics

 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

Beispiel #2

 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

Beispiel #3

Datei: topic_manage_handler.py Projekt: wanziforever/statistics

 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

Beispiel #4

Datei: coldinit.py Projekt: wanziforever/tools

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)

Beispiel #5

Datei: coldinit.py Projekt: wanziforever/statistics

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',

Beispiel #6

 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