运行查询时如何在 python 中创建具有当前日期和时间的文件名

Question

当我在下面运行查询时，它会创建一个名为“mycsvfile”的文件。但是，有没有办法在创建 CSV 文件时添加当前日期和时间戳？例如，如果我现在运行此查询，文件应命名为 mycsvfile20171012 – 10:00:00（类似名称）。

有人可以编辑我的代码并告诉我如何操作吗？

我的代码：

 from elasticsearch import Elasticsearch
import csv

es = Elasticsearch(["9200"])

# Replace the following Query with your own Elastic Search Query
res = es.search(index="search", body=
                {
                    "_source": ["DTDT", "TRDT", "SPLE", "RPLE"],
                    "query": {
                        "bool": {
                            "should": [
                                {"wildcard": {"CN": "TEST1"}}

                            ]
                        }
                    }
}, size=10)

header_names = { 'DTDT': 'DATE', 'TRDT': 'TIME', ...}

with open('mycsvfile.csv', 'w') as f:  # Just use 'w' mode in 3.x
    header_present  = False
    for doc in res['hits']['hits']:
        my_dict = doc['_source']
        if not header_present:
            w = csv.DictWriter(f, my_dict.keys())
            w.writerow(header_names)  # will write DATE, TIME, ... in correct place
            header_present = True

        w.writerow(my_dict)

先感谢您！

原文由 Rich 发布，翻译遵循 CC BY-SA 4.0 许可协议

Answer 1

最好在文件名中使用下划线而不是任何其他特殊字符，因为它被广泛接受因此构造文件名如下：

 csv_file = 'myfile_' + str(datetime.now().strftime('%Y_%m_%d_%H_%M_%S')) + '.csv'

使用日期时间如下：

 from elasticsearch import Elasticsearch
import csv

es = Elasticsearch(["9200"])

# Replace the following Query with your own Elastic Search Query
res = es.search(index="search", body=
                {
                    "_source": ["DTDT", "TRDT", "SPLE", "RPLE"],
                    "query": {
                        "bool": {
                            "should": [
                                {"wildcard": {"CN": "TEST1"}}

                            ]
                        }
                    }
}, size=10)

from datetime import datetime
import os

file_path = <PASS YOUR FILE HERE>

csv_file = 'myfile_' + str(datetime.now().strftime('%Y_%m_%d_%H_%M_%S')) + '.csv'

csv_file_full = os.path.join(file_path, os.sep, csv_file)

header_names = { 'DTDT': 'DATE', 'TRDT': 'TIME', ...}

with open(csv_file_full, 'w') as f:  # Just use 'w' mode in 3.x
    header_present  = False
    for doc in res['hits']['hits']:
        my_dict = doc['_source']
        if not header_present:
            w = csv.DictWriter(f, my_dict.keys())
            w.writerow(header_names)  # will write DATE, TIME, ... in correct place
            header_present = True

        w.writerow(my_dict)

原文由 Dinesh Pundkar 发布，翻译遵循 CC BY-SA 3.0 许可协议

Answer 2

是的，您可以这样做：但是文件名不支持“:”，因此 20171010–10.00.00

 >>> import time
>>> fname = lambda : "mycsvfile{}.csv".format(time.strftime("%Y%m%d-%H.%M.%S"))
>>>
>>> fname()
'mycsvfile20171012-17.24.59.csv'

>>> with open(fname()) as f:
>>>    pass

原文由 Stackoverflow 发布，翻译遵循 CC BY-SA 3.0 许可协议