使用 pyMongo 获取 Flask 中的 MongoDB 数据

Question

I need help with fetching data from a MongoDB collection in a simple Flask webpage. I've been trying to figure out how to fetch it but it has been of no help. My JSON data is an array of documents with 3 nested fields and I have attached it with the question. I'm trying to fetch all the data of the JSON template at first but I've been unable to. Once I know, I'll fetch the individual array.

Here is my Flask code:

from flask import Flask
from pymongo import MongoClient

app = Flask(__name__)

client = MongoClient("mongodb://localhost:27017/")
db = client.Learning
todos = db.data


@app.route('/')
def lists():
    for x in todos.find():
        y = print(x)
    return ""


if __name__ == '__main__':
    app.run()

And this is my data structure for the MongoDB data:

Any help or hint will be really appreciated so I can know how to fetch the data. Do I have to use HTML? If so, how can I fetch the arrays within arrays with HTML?

Answer 1

You could try using Flask-PyMongo.

It works like this:

from flask import Flask
from flask_pymongo import PyMongo
from flask.json import jsonify

app = Flask(__name__)
app.config["MONGO_URI"] = "mongodb://localhost:27017/Learning"
mongo = PyMongo(app)


@app.route("/")
def lists():
    print([i for x in mongo.db.data.find({})])
    return jsonify([i for i in mongo.db.data.find({})])



if __name__ == '__main__':
    app.run()