Modifying multiple documents with multiple fields

[Hans im]

I have a collection named crawl_data with the contents like below.

[{ "file_name":"xyaz", "url":"https://new.com", "html_data":"i am good", "organization":"org 1", }, { "file_name":"abcd", "url":"https://xnew.com", "html_data":"hello", "organization":"org 2", }, { "file_name":"news", "url":"https://newy.com", "html_data":"i have data", "organization":"org3", "score":0.85, "prediction":"valid" }]

For first two documents, score and prediction are not present. I am trying to fetch all documents in the collection which do not have score and prediction and modify with score and prediction. Model for this is

from flask_mongoengine import MongoEngine class CrawlData(db.Document): file_name = db.StringField(max_length=50, required=True) url = db.URLField(max_length=200,required=True,unique=True) html_data = db.StringField() scrape_date = db.DateTimeField(default=datetime.datetime.utcnow, required=True) organization = db.StringField(max_length=250,required=True) score = db.FloatField(min_value=0, max_value=1) prediction = db.StringField(max_length=10) validation_date = db.DateTimeField()

How to update both the document at the same time with different score and prediction (valid or invalid) values. score and prediction values are calculated in another function(Machine Learning). I have around many thousands of document like this and individual updating is not the way I am looking for.

[Hans im]

Formatting went awkward. Sorry

from flask_mongoengine import MongoEngine 

class CrawlData(db.Document): 

 file_name = db.StringField(max_length=50, required=True) 

 url = db.URLField(max_length=200,required=True,unique=True) 

 html_data = db.StringField() 

 scrape_date = db.DateTimeField(default=datetime.datetime.utcnow, required=True) 

 organization = db.StringField(max_length=250,required=True) 

 score = db.FloatField(min_value=0, max_value=1) 

 prediction = db.StringField(max_length=10) 

 validation_date = db.DateTimeField()