基于动态递增的日期变量创建多个词典

Question

我在变量主体中存储了一个 elasticsearch body 字典：

body = {"fields": ["dates","c_u", "tawgs.db_id"], "query": { "filtered": { "query": { "match": { "dates": "2019-07-26" } }, "filter": { "terms": { "tawgs.db_id": products } } } } })

我的问题是在"匹配"字段中，我需要增加

{ "dates": "2019-07-26" }

根据用户输入的日期回溯按天进行部分。

我开发了日期回溯变量，以根据用户输入days_back的 # 输出回溯 # 天的日期列表。

我只是非常迷茫地将这个日期列表单独集成到正文字典中，以便在 elasticsearch 中进行多次搜索调用。

我开发日期列表的代码如下：

# dates desired outputted in a list
base = dt.date.today()
days_back = 5           # USER INPUT
date_list = [base - dt.timedelta(days=x) for x in reversed(range(days_back + 1))]
dates = ['{}-{}-{}'.format(y,m,d) for y, m, d in map(lambda x: str(x).split('-'), date_list)]

它输出列表：['2019-07-21', '2019-07-22', '2019-07-23', '2019-07-24', '2019-07-25','2019-07-26']

所以我需要的是输出多个正文词典，例如：

body = {"fields": ["dates","c_u", "tawgs.db_id"], "query": { "filtered": { "query": { "match": { "dates": "2019-07-26" } }, "filter": { "terms": { "tawgs.db_id": products } } } } })
body = {"fields": ["dates","c_u", "tawgs.db_id"], "query": { "filtered": { "query": { "match": { "dates": "2019-07-25" } }, "filter": { "terms": { "tawgs.db_id": products } } } } })
body = {"fields": ["dates","c_u", "tawgs.db_id"], "query": { "filtered": { "query": { "match": { "dates": "2019-07-24" } }, "filter": { "terms": { "tawgs.db_id": products } } } } })
body = {"fields": ["dates","c_u", "tawgs.db_id"], "query": { "filtered": { "query": { "match": { "dates": "2019-07-23" } }, "filter": { "terms": { "tawgs.db_id": products } } } } })

等，只有日期字段发生变化。

请帮忙！我还没有成功插入 for 循环。提前感谢！

Answer 1

创建一个没有显式dates键/值对的基本字典，然后在该查询的循环中为其分配所需的日期：

import datetime as dt
import copy
base = dt.date.today()
days_back = 5           # USER INPUT
date_list = [base - dt.timedelta(days=x) for x in reversed(range(days_back + 1))]
base_body = {"fields": ["dates","c_u", "tawgs.db_id"], "query": { "filtered": { "query": { "match": {} }, "filter": { "terms": { "tawgs.db_id": [] } } } }}
for date in date_list:
    body = copy.deepcopy(base_body)
    body['query']['filtered']['query']['match']['dates'] = date.strftime("%Y-%m-%d")
    print(body)

结果：

{'fields': ['dates', 'c_u', 'tawgs.db_id'], 'query': {'filtered': {'query': {'match': {'dates': '2019/07/21'}}, 'filter': {'terms': {'tawgs.db_id': []}}}}}
{'fields': ['dates', 'c_u', 'tawgs.db_id'], 'query': {'filtered': {'query': {'match': {'dates': '2019/07/22'}}, 'filter': {'terms': {'tawgs.db_id': []}}}}}
{'fields': ['dates', 'c_u', 'tawgs.db_id'], 'query': {'filtered': {'query': {'match': {'dates': '2019/07/23'}}, 'filter': {'terms': {'tawgs.db_id': []}}}}}
{'fields': ['dates', 'c_u', 'tawgs.db_id'], 'query': {'filtered': {'query': {'match': {'dates': '2019/07/24'}}, 'filter': {'terms': {'tawgs.db_id': []}}}}}
{'fields': ['dates', 'c_u', 'tawgs.db_id'], 'query': {'filtered': {'query': {'match': {'dates': '2019/07/25'}}, 'filter': {'terms': {'tawgs.db_id': []}}}}}
{'fields': ['dates', 'c_u', 'tawgs.db_id'], 'query': {'filtered': {'query': {'match': {'dates': '2019/07/26'}}, 'filter': {'terms': {'tawgs.db_id': []}}}}}