我正在尝试通过递归地遍历其键将字典中的特定日期时间值更改为字符串。
from copy import deepcopy
def datetoStr2(datadict):
if 'dict' in str(type(datadict)):
newdict = dict()
newdict.update(datadict)
for key in datadict:
if isinstance(datadict[key], dict):
newdict[key] = datetoStr(datadict[key])
if isinstance(datadict[key], list):
mylist = datadict[key]
for element in mylist:
element = datetoStr(element)
if isinstance(datadict[key], datetime):
#newdict[key] = datadict[key].strftime('%Y-%m-%d %H:%M:%S.%f%z')
newdict[key] = str(datadict[key])
return newdict
else:
return datadict
但是，当我跑步时
some_dict = datetoStr(mydict)
我仍然在原处放置日期时间对象。我在做什么错了？
编辑：更新了功能代码。
之所以编写此函数，是因为该字典是通过Flask的jsonify传递的，该jsonify当前会剥离时区信息，并将其替换为GMT。 （计划在下一个更新中修复）。
我已经牢记了一些反馈，对我的功能进行了更新，但是仍然无法产生结果。
我还要添加一些示例数据和输出。
结果：
代码中插入的快速打印告诉我datetime仍然是datetime，并且jsonify剥离了TZinfo。
样本数据：
{'data': {'all': {'count': 2,
'data': [{'arrivalby': 'Wed, 20 Jun 2018 09:39:00 GMT',
'closesat': 'Wed, 20 Jun 2018 06:05:40 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43786473803105,
17.447430456650043],
[78.45670406196896,
17.447430456650043],
[78.45670406196896,
17.46540214334996],
[78.43786473803105,
17.46540214334996],
[78.43786473803105,
17.447430456650043]]],
'type': 'Polygon'},
'housecallid': '591ce42e9b53f96ea393934f61fab25d',
'lastupdated': 'Fri, 22 Jun 2018 04:32:14 GMT',
'requester': {'addr1': 'xxx xxx xx',
'addr2': 'xx xx xx',
'addr3': 'xx xx',
'addrstate': 'xx',
'city': 'xx',
'dob': 'xx/xx/xxxx',
'email': 'xx@xx',
'fname': 'xxx',
'lname': 'xx',
'location': {'coordinates': [78.4472844,
17.4564163],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xxxx'},
'requesttime': 'Wed, 20 Jun 2018 00:05:40 GMT',
'responder': {'addr1': 'xxx xxxx',
'addr2': 'xx xx xxxx',
'addr3': 'xxx xx',
'addrstate': 'xxxx',
'city': 'xxxx',
'email': 'xx@xxxx',
'fname': 'xxxx',
'lname': 'xxxx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xxxx'},
'responsetime': 'Wed, 20 Jun 2018 00:09:37 GMT',
'status': 'missed'},
{'arrivalby': 'Sat, 23 Jun 2018 10:13:00 GMT',
'closesat': 'Fri, 22 Jun 2018 10:42:11 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43784273760974,
17.44743855664762],
[78.45668206239024,
17.44743855664762],
[78.45668206239024,
17.465410243352377],
[78.43784273760974,
17.465410243352377],
[78.43784273760974,
17.44743855664762]]],
'type': 'Polygon'},
'housecallid': '998987171790f172b97a7981a8902af1',
'lastupdated': 'Fri, 22 Jun 2018 18:36:50 GMT',
'requester': {'addr1': 'xx xxx, ',
'addr2': 'xx xx xxxx',
'addr3': 'xxx xxx',
'addrstate': 'xx',
'city': 'xxxx',
'dob': 'xxxx-xx-xx',
'email': 'xxxx@xxxx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4472624,
17.4564244],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xxxx'},
'requesttime': 'Fri, 22 Jun 2018 04:42:11 GMT',
'responder': {'addr1': 'xxxx xxxx',
'addr2': 'xx xx xx',
'addr3': 'xxxx xxxx',
'addrstate': 'xxxx',
'city': 'xxxx',
'email': 'xxx@xxxx',
'fname': 'xxxxx',
'lname': 'xxxx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xx'},
'responsetime': 'Fri, 22 Jun 2018 04:43:05 GMT',
'status': 'missed'}]},
'cancelled': {'count': 0, 'data': []},
'closed': {'count': 0, 'data': []},
'confirmed': {'count': 0, 'data': []},
'missed': {'count': 2,
'data': [{'arrivalby': 'Wed, 20 Jun 2018 09:39:00 GMT',
'closesat': 'Wed, 20 Jun 2018 06:05:40 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43786473803105,
17.447430456650043],
[78.45670406196896,
17.447430456650043],
[78.45670406196896,
17.46540214334996],
[78.43786473803105,
17.46540214334996],
[78.43786473803105,
17.447430456650043]]],
'type': 'Polygon'},
'housecallid': '591ce42e9b53f96ea393934f61fab25d',
'lastupdated': 'Fri, 22 Jun 2018 04:32:14 GMT',
'requester': {'addr1': 'xx xx xxx',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xxxxxx',
'city': 'xxxxx',
'dob': 'xx/xx/xxxx',
'email': 'xx@xxx',
'fname': 'xx',
'lname': 'xxx',
'location': {'coordinates': [78.4472844,
17.4564163],
'type': 'Point'},
'mobile': xx,
'sex': 'xx'},
'requesttime': 'Wed, 20 Jun 2018 00:05:40 GMT',
'responder': {'addr1': 'xx xx',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xx',
'city': 'xx',
'email': 'xx@xx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xx'},
'responsetime': 'Wed, 20 Jun 2018 00:09:37 GMT',
'status': 'missed'},
{'arrivalby': 'Sat, 23 Jun 2018 10:13:00 GMT',
'closesat': 'Fri, 22 Jun 2018 10:42:11 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43784273760974,
17.44743855664762],
[78.45668206239024,
17.44743855664762],
[78.45668206239024,
17.465410243352377],
[78.43784273760974,
17.465410243352377],
[78.43784273760974,
17.44743855664762]]],
'type': 'Polygon'},
'housecallid': '998987171790f172b97a7981a8902af1',
'lastupdated': 'Fri, 22 Jun 2018 18:36:50 GMT',
'requester': {'addr1': 'xxx xxx, ',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xxx',
'city': 'xxx',
'dob': 'xxxx-xx-xx',
'email': 'xxxx@xxxx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4472624,
17.4564244],
'type': 'Point'},
'mobile': xxxxx,
'sex': 'xx'},
'requesttime': 'Fri, 22 Jun 2018 04:42:11 GMT',
'responder': {'addr1': 'xx xx',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xx',
'city': 'xxxx',
'email': 'xxxx@xxxx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xx,
'sex': 'xxxx'},
'responsetime': 'Fri, 22 Jun 2018 04:43:05 GMT',
'status': 'missed'}]}}, 'success': True}
更新-2018年6月24日
谢谢你，帕特里克。我接受它为正确的选择。
但是，在我的编辑中，我谈到了将列表作为元素的想法，因此，我添加了以下代码（针对那些寻求解决jsonify错误的方法的人）。
def datetoStr(datadict):
from copy import deepcopy
# deepcopy before data manipulation
if 'dict' in str(type(datadict)):
newdict = deepcopy(datadict)
for key,value in datadict.items():
# recurse into nested dicts
if isinstance(value, dict):
newdict[key] = datetoStr(datadict[key])
# convert to string
elif isinstance(value, datetime):
newdict[key] = str(datadict[key])
# if list, iterate through elements and replace
elif isinstance(datadict[key], list):
newlist = datadict[key].copy()
counter = 0
for element in datadict[key]:
newlist[counter] = datetoStr(datadict[key][counter])
counter += 1
newdict[key] = newlist
return newdict
else:
return datadict
答案 0 :(得分：2)
如果使用dict.items()可以直接简化迭代的键和值，则可以稍微简化代码：
from copy import deepcopy
import datetime
def datetoStr(datadict):
# deepcopy before data manipulation
newdict = deepcopy(datadict)
for key,value in datadict.items():
# recurse into nested dicts
if isinstance(value, dict):
newdict[key] = datetoStr(datadict[key])
# convert to string
elif isinstance(value, datetime.datetime):
newdict[key] = str(datadict[key])
return newdict
before = { "a date": datetime.datetime.now(),
"a dict": { "another": datetime.datetime.now() + datetime.timedelta(hours=2)}}
print(before)
# get the modified copy of before
transformedDict = datetoStr(before)
print(transformedDict)
输出：
# before
{'a date': datetime.datetime(2018, 6, 23, 21, 54, 12, 806419),
'a dict': {'another': datetime.datetime(2018, 6, 23, 23, 54, 12, 806421)}}
# transformedDict
{'a date': '2018-06-23 21:54:12.806419',
'a dict': {'another': '2018-06-23 23:54:12.806421'}}