我正在开发Flask REST API,它将具有三个查询参数(HomeDevice,Key,UpdateDate),所有这些参数均作为字符串传递。现在,我必须使用这三个输入作为过滤器在Mongodb上进行PyMongo查询。
typeof db.getCollection('collection_name').findOne().updatedate
>> Object
import json
from pymongo import MongoClient
import pandas as pd
client = MongoClient(<ServerAddress>,27017)
db = client.db_name
col = db.collection_name
updatedate="2020-01-13 06:43:47.500Z"
print(updatedate)
var = '{ "$and" : [{"homeDevice" : "Loader"} , {"key" : "OP2561NX" },{"updatedate" : ISODate("2020-01-13 06:43:47.500Z")}]}'
data = json.loads(var)
docs = pd.DataFrame(list(col.find(data)))
print(docs)
ISODate(updateDate)导致JSONDecodeError,并且在删除ISODate强制转换后,查询将获取空框架。
JSONDecodeError Traceback (most recent call last)
<ipython-input-12-95360c676df4> in <module>
11
12 var = '{ "$and" : [{"homeDevice" : "Loader"} , {"keyed" : "OP2561NX" },{"updatedate" : ISODate("2020-01-13 06:43:47.500Z")}]}'
---> 13 data = json.loads(var)
14 docs = pd.DataFrame(list(col.find(data)))
15 print(docs)
E:\Analytics\Installations\Anaconda3\lib\json\__init__.py in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
346 parse_int is None and parse_float is None and
347 parse_constant is None and object_pairs_hook is None and not kw):
--> 348 return _default_decoder.decode(s)
349 if cls is None:
350 cls = JSONDecoder
E:\Analytics\Installations\Anaconda3\lib\json\decoder.py in decode(self, s, _w)
335
336 """
--> 337 obj, end = self.raw_decode(s, idx=_w(s, 0).end())
338 end = _w(s, end).end()
339 if end != len(s):
E:\Analytics\Installations\Anaconda3\lib\json\decoder.py in raw_decode(self, s, idx)
353 obj, end = self.scan_once(s, idx)
354 except StopIteration as err:
--> 355 raise JSONDecodeError("Expecting value", s, err.value) from None
356 return obj, end
JSONDecodeError: Expecting value: line 1 column 81 (char 80)
直接在monogodb(Robo3T)中运行此查询将返回数据。我需要一种动态创建查询并在更新密钥上应用ISODate的方法。
如何创建动态PyMongo查询以处理ISODate?
像字典一样构造var
:
var = { "$and" : [{"homeDevice" : "Loader"} , {"key" : "OP2561NX" },{"updatedate" : ISO("2020-01-13 06:43:47.500Z")}]}
并像这样使用它:
col.find(var)
您不需要将其转换为字符串/ JSON。
尝试上面的方法,让我知道。