python : 3.8.8
pymongo : 3.12.9
I have data in my collection and new data that I want to push it to the collection.
The data in my database
from pymongo import MongoClient, UpdateOne
import pandas as pd
{
"_id" : ObjectId("6143b5b78d248ba8ed0c3d88"),
"Sector" : "A",
"RKK_T" : 0.15,
"RKK_M" : 0.2,
"lastModified" : ISODate("2021-09-16T22:23:45.411Z")
},
{
"_id" : ObjectId("6143b5b78d248ba8ed0c3d89"),
"Sector" : "B",
"RKK_T" : 0.22,
"RKK_M" : 0.3,
"lastModified" : ISODate("2021-09-16T22:23:45.411Z")
}
And this is my new data that I want to push it to the database
data = [{
"_id" : "6143b5b78d248ba8ed0c3d88",
"Sector" : "A",
"RKK_T" : 0.15,
"RKK_M" : 0.25,
"lastModified" :datetime.utcnow()
},
{
"_id" : "6143b5b78d248ba8ed0c3d89",
"Sector" : "B",
"RKK_T" : 0.22,
"RKK_M" : 0.3,
"lastModified" : datetime.utcnow()
},
{
"_id" : "6143b5b78d248ba8ed0c3d90",
"Sector" : "C",
"RKK_T" : 0.25,
"RKK_M" : 0.32,
'RKK_K' : 0.4,
"lastModified" : datetime.utcnow()
}
]
df = pd.DataFrame(data, columns=['_id', 'Sector', 'RKK_T', 'RKK_M', 'lastmodified'])
df
_id Sector RKK_T RKK_M lastmodified
0 6143b5b78d248ba8ed0c3d88 A 0.15 0.25 NaN
1 6143b5b78d248ba8ed0c3d89 B 0.22 0.30 NaN
2 6143b5b78d248ba8ed0c3d90 C 0.25 0.32 NaN
So I think I need to filter by each Sector
and update values of RKK_T
and RKK_M
columns.
based on the solution here I tried
a = []
b = {}
for d in data :
b = {'updateOne':{
"filter": {'Sector':d['Sector']},
"update":{'$set':{
"RKK_T":d["RKK_T"],
"RKK_M" : d["RKK_M"],
'RKK_K' :d["RKK_K"],
"lastModified" :d["lastModified"]
}}
}}
a.append(b)
db.collection.bulk_write(a)
but got this error
AttributeError: 'dict' object has no attribute '_add_to_bulk'