Mongoengine：以嵌入文档为值的动态字段

Question

到目前为止，我一直在使用 MapField 作为：

class Game(EmbeddedDocument):
    iscomplete = BooleanField()
    score = IntField()
    #other not dynamic fields


class Progress(Document):
    user = ReferenceField(User, dbref=True)
    games = MapField(EmbeddedDocumentField(Game))
    created_at = DateTimeField()
    updated_on = DateTimeField()

我需要将游戏转换为 ReferenceField。

我想用动态 fields/keys 创建文档，但将 embeddedDocument 作为值，这样我就可以拥有这样的文档：

{
    "game1": {
        "iscomplete": true,
        "score": 23,
        },
    "game2": {
        "iscomplete": false,
        "score": 10,
        }
}

这里有没有我可以实现的？

Answer 1

您可以使用 dynamic document in mongengine:

来实现

DynamicDocument documents work in the same way as Document but any data / attributes set to them will also be saved

因此，您删除游戏字段，稍后添加您的动态字段游戏，如 game1、game2 等字段，它们将被保存。

class Game(EmbeddedDocument):
    iscomplete = fields.BooleanField()
    score = fields.IntField()    

class Progress(DynamicDocument):
    user = ReferenceField(User, dbref=True)
    created_at = DateTimeField()
    updated_on = DateTimeField()

    p = Progress()
    p.game1 = Game(iscomplete=True, score=10)
    p.game2 = Game(iscomplete=False, score=5)
    p.save()

Answer 2

[注意 - 在下面的代码中使用 mongoengine 和 pandas]

以下代码用于读取 csv 文件并插入到 mongod 动态集合中。

示例 -: 将 csv 数据动态保存在 mongod 集合中。

import mongoengine as me
class DynamicDoc(me.DynamicDocument):
    any_field = me.StringField()

import pandas as pd

all_csv_records = data_frame.to_dict('records')
data_frame = pd.read_csv(file_path)
for data in all_csv_records:
    report_data = DynamicDoc()
    DynamicDoc.any_field = str('temp_data')
    for col, row in data.iteritems():
        report_data[col] = row
    report_data.save()

Mongoengine：以嵌入文档为值的动态字段

Mongoengine: dynamic Fields with EmbededDocuments as values

python

mongodb

mongoengine

embedded-documents