I found a question which is technically the same but doesn't answer my question fully and was asked 7 years ago.
The problem which I can't solve is updating a dictionary in array in document. I needed to change deck to True, but it doesn't update it. Also I didn't get any errors.
Document Structure
{
"user": 1234,
"money": 0
"inv_max": 100,
"cards": [
{
"name": "somename",
"power": 11,
"health": 10,
"rarity": 'bronze'
"deck": False,
}
],
"packs": {
"bronze": 0,
"silver": 0,
"gold": 0,
"diamond": 0,
"mythical": 0
}
}
Code which should update it (which I used)
await db.inventory.update_one(
{"user": self.user_id},
{"$set": {f"cards.{index}.deck": True}}
)
In case it's needed, I use MongoDB Atlas.
Use the positional operator $ to update:
db.inventory.updateOne(
{ "user": "1234", "cards.name": "somename"},
{ "$set": { "cards.$.deck" : "True" }} )
If you know the index you can do something like this
db.inventory.update_one(
{"user": self.user_id},
{$set: {"cards.0.deck":true}}
)
Related
I have a collection of documents that looks like this
{
"_id": "4",
"contacts": [
{
"email": "mail#mail.com",
"name": "A1",
"phone": "00",
"crashNotificationEnabled": false,
"locationShared": true,
"creationDate": ISODate("2020-10-19T15:19:04.498Z")
},
{
"email": "mail#mail.com",
"name": "AG2",
"phone": "00",
"crashNotificationEnabled": false,
"locationShared": false,
"creationDate": ISODate("2020-10-19T15:19:04.498Z")
}
],
"creationDate": ISODate("2020-10-19T15:19:04.498Z"),
"_class": ".model.UserContacts"
}
And i would like to iterate through all documents to check if either crashNotificationEnabled or locationShared is true and add +1 to a counter if its the case, im quite new to python and mongosql so i actually have a hard time trying to do that, i tried a lot of things but there is my last try :
def users_with_guardian_angel(mongoclient):
try:
mydb = mongoclient["main"]
userContacts = mydb["userContacts"]
users = userContacts.find()
for user in users:
result = userContacts.find_one({contacts : { $in: [true]}})
if result:
count_users = count_users + 1
print(f"{count_users} have at least one notificiation enabled")
But the result variable stays empty all the time, so if somebody could help me to accomplish what i want to do and tell what i did wrong here ?
Thanks !
Here's one way you could do it by letting the MongoDB server do all the work.
N.B.: This doesn't consider the possibility of multiple entries of the same user.
db.userContacts.aggregate([
{
"$unwind": "$contacts"
},
{
"$match": {
"$expr": {
"$or": [
"$contacts.crashNotificationEnabled",
"$contacts.locationShared"
]
}
}
},
{
"$count": "userCountWithNotificationsEnabled"
}
])
Try it on mongoplayground.net.
Example output:
[
{
"userCountWithNotificationsEnabled": 436
}
]
I'm looking to restructure my MongoDB collection and haven't been able to do so. I'm quite new to it and looking for some help. I'm struggling to access move the data within the "itemsList" field.
My collection documents are currently structured like this:
{
"_id": 1,
"pageName": "List of Fruit",
"itemsList":[
{
"myID": 101,
"itemName": "Apple"
},
{
"myID": 102,
"itemName": "Orange"
}
]
},
{
"_id": 2,
"pageName": "List of Computers",
"itemsList":[
{
"myID": 201,
"itemName": "MacBook"
},
{
"myID": 202,
"itemName": "Desktop"
}
]
}
The end result
But I would like the data to be restructured so that the value for "itemName" is it's own document.
I would also like to change the name of "myID" to "itemID".
And save the new documents to another collection.
{
"_id": 1,
"itemName": "Apple",
"itemID": 101,
"pageName": "List of Fruit"
},
{
"_id": 2,
"itemName": "Orange",
"itemID": 102,
"pageName": "List of Fruit"
},
{
"_id": 3,
"itemName": "MacBook",
"itemID": 201,
"pageName": "List of Computers"
},
{
"_id": 4,
"itemName": "Desktop",
"itemID": 202,
"pageName": "List of Computers"
}
What I've tried
I have tried using MongoDB's aggregate functionality, but because there are multiple "itemName" fields in each document, it will add both of them to one Array - instead of one in each document.
db.collection.aggregate([
{$Project:{
itemName: "$itemsList.itemName",
itemID: "$itemsList.otherID",
pageName: "$pageName"
}},
{$out: "myNewCollection"}
])
I've also tried using PyMongo 3.x to loop through the document's fields and save as a new document, but haven't been successful.
Ways to implement it
I'm open to using MongoDB's aggregate functionality, if it can move these items to their own documents, or a Python script (3.x) - or any other means you think can help.
Thanks in advance for your help!
You just need a $unwind to "break" the array. Then you can do some data wrangling and output to your collection.
Note that as you didn't specify the exact requirement for the _id. You might need to take extra handling. Below demonstration use the native _id generation, which will auto assigned ObjectIds.
db.collection.aggregate([
{
"$unwind": "$itemsList"
},
{
"$project": {
"_id": 0,
"itemName": "$itemsList.itemName",
"itemID": "$itemsList.myID",
"pageName": "$pageName"
}
},
{
$out: "myNewCollection"
}
])
Here is the Mongo playground for your reference.
I've seen this asked a multitude of times, but I think the JSON I'm looking to access is a bit different. I'm looking at a JSON with this format:
{
"timestamp": 1589135576,
"level": 20,
"gender": "Male",
"status": {},
"personalstats": {},
"attacks": {
"103307874": {
"code": "cc7bc5ab6fbd54f49a2e879c49e70183",
"result": "Mugged",
"chain": 2,
"modifiers": {
"fairFight": 3,
"war": 1,
}
},
"103320473": {
"code": "3184c1e2c9662fd70a21f03a637cb02e",
"result": "Mugged",
"chain": 1,
"modifiers": {
"fairFight": 1.07,
"war": 1,
}
},
}
}
There are 98 more "attack" below the first two here.
Now I thought I could access the first attacks result with this code, but it results in a key error. Anyone understand why?
currentresponse = requests.get("URL")
json_obj = json.loads(currentresponse.text)
lastresult = json_obj["attacks"][0]["result"]
As a "bonus" I can access the result of the attack through the following code.
json_obj["attacks"]["103320473"]["result"]
Yeah, you can't access with json_obj["attacks"][0], because it's not a list, and hence doesn't have indexing like a list. These are nested dicts, so you have to access them by dict rules (access by key)
This question already has answers here:
Parsing json and searching through it
(5 answers)
Closed 5 years ago.
I have the following JSON string and I want to obtain doc_count:
import json
text = '''{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 11,
"max_score": 0,
"hits": []
},
"aggregations": {
"range": {
"buckets": [
{
"key": "2017-02-17T15:00:00.000Z-2017-02-17T16:00:00.000Z",
"from": 1487343600000,
"from_as_string": "2017-02-17T15:00:00.000Z",
"to": 1487347200000,
"to_as_string": "2017-02-17T16:00:00.000Z",
"doc_count": 2
}
]
}
}
}'''
obj = json.loads(text)
obj
I tried obj['aggregations']['range']['buckets']['doc_count'], but it does not work. How can I search through the hierarchy of this JSON file?
Because 'buckets' key contains array of element. You needs
obj['aggregations']['range']['buckets'][0]['doc_count']
You're missing the fact that the "buckets" key contains a list. You need:
obj['aggregations']['range']['buckets'][0]['doc_count']
Note the [0] after selecting the buckets key.
In Mongodb, how do you skip an update if one field of the document exists?
To give an example, I have the following document structure, and I'd like to only update it if the link key is not matching.
{
"_id": {
"$oid": "56e9978732beb44a2f2ac6ae"
},
"domain": "example.co.uk",
"good": [
{
"crawled": true,
"added": {
"$date": "2016-03-16T17:27:17.461Z"
},
"link": "/url-1"
},
{
"crawled": false,
"added": {
"$date": "2016-03-16T17:27:17.461Z"
},
"link": "url-2"
}
]
}
My update query is:
links.update({
"domain": "example.co.uk"
},
{'$addToSet':
{'good':
{"crawled": False, 'link':"/url-1"} }}, True)
Part of the problem is the crawl field could be set to True or False and the date will also always be different - I don't want to add to the array if the URL exists, regardless of the crawled status.
Update:
Just for clarity, if the URL is not within the document, I want it to be added to the existing array, for example, if /url-3 was introduced, the document would look like this:
{
"_id": {
"$oid": "56e9978732beb44a2f2ac6ae"
},
"domain": "example.co.uk",
"good": [
{
"crawled": true,
"added": {
"$date": "2016-03-16T17:27:17.461Z"
},
"link": "/url-1"
},
{
"crawled": false,
"added": {
"$date": "2016-03-16T17:27:17.461Z"
},
"link": "url-2"
},
{
"crawled": false,
"added": {
"$date": "2016-04-16T17:27:17.461Z"
},
"link": "url-3"
}
]
}
The domain will be unique and specific to the link and I want it to insert the link within the good array if it doesn't exist and do nothing if it does exist.
The only way to do this is to find if there is any document in the collection that matches your criteria using the find_one method, also you need to consider the "good.link" field in your filter criteria. If no document matches you run your update query using the update_one method, but this time you don't use the "good.link" field in your query criteria. Also you don't need the $addToSet operator as it's not doing anything simple use the $push update operator, it makes your intention clear. You also don't need to "upsert" option here.
if not link.find_one({"domain": "example.co.uk", "good.link": "/url-1"}):
link.update_one({"domain": "example.co.uk"},
{"$push": {"good": {"crawled": False, 'link':"/url-1"}}})
in your find section of the query you are matching all documents where
"domain": "example.co.uk"
you need to add that you don't want to match
'good.link':"/url-1"
so try
{
"domain": "example.co.uk",
"good.link": {$ne: "/url-1"}
}
The accepted answer is not correct by saying the only way to do it is using findOne first.
You can do it in a single db call by using the aggregation pipelined updates feature, this allows you to use aggregation operators within an update, now the strategy will be to concat two arrays, the first array will always be the "good" array, the second array will either be [new link] or an empty array based on the condition if the links exists or not using $cond, like so:
links.update({
"domain": "example.co.uk"
},
[
{
"$set": {
"good": {
"$ifNull": [
"$good",
[]
]
}
}
},
{
"$set": {
"good": {
"$concatArrays": [
"$good",
{
"$cond": [
{
"$in": [
"/url-1",
"$good.link"
]
},
[],
[
{
"crawled": False,
"link": "/url-1"
}
]
]
}
]
}
}
}
], True)
Mongo Playground