I'm trying to create a new spreadsheet using spreadsheets#create, with specified row groups.
In the API Explorer, I am entering in the JSON below. which corresponds to the following appearance:
No errors are flagged or returned when I execute the call, but when the sheet is created, the specified grouping is not created - only the values are set.
{ "properties": {
"title": "Test Spreadsheet",
"locale": "en"
},
"sheets": [
{ "properties": {"title": "Test1"},
"data": [
{
"startRow": 0,
"startColumn": 0,
"rowData": [
{ "values": [
{ "userEnteredValue": { "stringValue": "Top1" } }
]
},
{ "values": [
{ "userEnteredValue": { "stringValue": "Top2" } }
]
},
{ "values": [
{ "userEnteredValue": { "stringValue": "" } },
{ "userEnteredValue": { "stringValue": "Top2A" } }
]
},
{ "values": [
{ "userEnteredValue": { "stringValue": "" } },
{ "userEnteredValue": { "stringValue": "Top2B" } }
]
},
{ "values": [
{ "userEnteredValue": { "stringValue": "" } },
{ "userEnteredValue": { "stringValue": "Top2C" } }
]
},
{ "values": [
{ "userEnteredValue": { "stringValue": "Top3" } }
]
}
]
}
],
"rowGroups": [
{ "range": {
"dimension": "ROWS",
"startIndex": 2,
"endIndex": 5
}
}
]
}
]
}
Even when I create the rowGroups JSON directly on the page, with its structured editor to make sure it is properly defined, the created spreadsheet still doesn't group the specified rows. I have triple-checked all my objects from the top down, and can't see what I am doing wrong.
Related
I´d like to change a whole row color depending on the value of a row´s field:
POST
https://sheets.googleapis.com/v4/spreadsheets/19D_Ctr5pzfuwfT2XlFDIEVsQv2ezMyShwCm-AAq7KY0:batchUpdate
BODY:
{
"requests": [
{
"addConditionalFormatRule": {
"rule": {
"ranges": [
{
"sheetId": 0
}
],
"booleanRule": {
"condition": {
"type": "TEXT_EQ",
"values": [
{
"userEnteredValue": "ERROR"
}
]
},
"format": {
"backgroundColor": {
"green": 0.2,
"red": 0.8
}
}
}
},
"index": 0
}
}
]
}
With this request, I´m changing the cell, but not thew whole row.
Any help will be greatly appreciated.
Thanks in advance.
This Works:
{
"requests": [
{
"addConditionalFormatRule": {
"rule": {
"ranges": [
{
"sheetId": 0,
"startRowIndex": 0
}
],
"booleanRule": {
"condition": {
"type": "CUSTOM_FORMULA",
"values": [
{
"userEnteredValue": "=$D1=\"ERROR\""
}
]
},
"format": {
"backgroundColor": {
"green": 0.2,
"red": 0.8
}
}
}
},
"index": 0
}
}
]
}
I'm new to MongoDB, and I'm not sure if what I'm trying to do is possible at all. I've exhausted my Google skills, so I'm hoping someone here can give me a push in the right direction.
My data is structured like this:
db={
"people": [
{
"id": 1,
"name": "Pete",
"occupation": "baker"
},
{
"id": 2,
"name": "Mike",
"occupation": "painter"
}
],
"activity": [
{
"baker": "bakes",
"painter": "paints"
}
]
}
Although this is just sample data, my "activity" is a single large document with unique keys that I'm trying to get the value from, based on key name (when it matches value from the "people" document).
What I'm trying to achieve is this output:
[
{
"id": 1,
"name": "Pete",
"occupation": "baker”,
“activity:” “bakes”
},
{
"id": 2,
"name": "Mike",
"occupation": "painter”,
“activity”: “paints”
}
]
Is this possible at all?
If I understand your database and data model, it seems like a poor model.
If the data model was different (see below), the query would be quite simple. Given that, here's one way you could generate your desired output with your model.
db.people.aggregate([
{ "$lookup": {
"from": "activity",
"let": { occ: "$occupation" },
"pipeline": [
{
"$replaceWith": {
"$arrayToObject": {
"$filter": {
"input": { "$objectToArray": "$$ROOT" },
"as": "kv",
"cond": { "$eq": [ "$$kv.k", "$$occ" ] }
}
}
}
}
],
"as": "activity"
}
},
{ "$set": {
"activity": {
"$getField": {
"field": "v",
"input": {
"$first": {
"$objectToArray": { "$first": "$activity" }
}
}
}
}
}
},
{ "$unset": "_id" }
])
Try it on mongoplayground.net.
If your activity collection has this model...
[
{
"occupation": "baker",
"activity": "bakes"
},
{
"occupation": "painter",
"activity": "paints"
}
]
... then the query could be:
db.people.aggregate([
{ "$lookup": {
"from": "activity",
"localField": "occupation",
"foreignField": "occupation",
"as": "activity"
}
},
{ "$set": { "activity": { "$first": "$activity.activity" } } },
{ "$unset": "_id" }
])
Try it on mongoplayground.net.
I'm pretty sure the below can be done, I'm struggling to understand how to do it in MongoDB.
My data is structured like this (demo data):
db={
"recipes": [
{
"id": 1,
"name": "flatbread pizza",
"ingredients": {
"1010": 1,
"1020": 2,
"1030": 200
}
},
{
"id": 2,
"name": "cheese sandwich",
"ingredients": {
"1040": 1,
"1050": 2
}
}
],
"ingredients": [
{
"id": 1010,
"name": "flatbread",
"unit": "pieces"
},
{
"id": 1020,
"name": "garlic",
"unit": "clove"
},
{
"id": 1030,
"name": "tomato sauce",
"unit": "ml"
},
{
"id": 1040,
"name": "bread",
"unit": "slices"
},
{
"id": 1050,
"name": "cheese",
"unit": "slices"
}
]
}
The output I'm trying to achieve would look like this:
[
{
"id": 1,
"name": "flatbread pizza",
“flatbread”: “1 pieces”,
“garlic”: “2 cloves”,
“tomato sauce”: “200 ml”
},
{
"id": 2,
"name": "cheese sandwich",
“bread”: “1 slices”,
“cheese”: “2 slices”
}
]
I've tried several approaches, and I get stuck at the bit where I need to do a lookup based on the ingredient name (which actually is the id). I tried using $objectToArray to turn it into a k-v document, but then I get stuck in how to construct the lookup pipeline.
This is not a simple solution, and probably can be improved:
db.recipes.aggregate([
{
"$addFields": {
ingredientsParts: {
"$objectToArray": "$ingredients"
}
}
},
{
$unwind: "$ingredientsParts"
},
{
"$group": {
_id: "$id",
name: {
$first: "$name"
},
ingredientsParts: {
$push: {
v: "$ingredientsParts.v",
id: {
$toInt: "$ingredientsParts.k"
}
}
}
}
},
{
"$lookup": {
"from": "ingredients",
"localField": "ingredientsParts.id",
"foreignField": "id",
"as": "ingredients"
}
},
{
$unwind: "$ingredients"
},
{
"$addFields": {
"ingredientsPart": {
"$filter": {
input: "$ingredientsParts",
as: "item",
cond: {
$eq: [
"$$item.id",
"$ingredients.id"
]
}
}
}
}
},
{
$project: {
ingredients: 1,
ingredientsPart: {
"$arrayElemAt": [
"$ingredientsPart",
0
]
},
name: 1
}
},
{
"$addFields": {
units: {
k: "$ingredients.name",
v: {
"$concat": [
{
$toString: "$ingredientsPart.v"
},
" ",
"$ingredients.unit"
]
}
}
}
},
{
$group: {
_id: "$_id",
name: {
$first: "$name"
},
units: {
$push: "$units"
}
}
},
{
"$addFields": {
"data": {
"$arrayToObject": "$units"
}
}
},
{
"$addFields": {
"data.id": "$_id",
"data.name": "$name"
}
},
{
"$replaceRoot": {
"newRoot": "$data"
}
}
])
You can see it works here
As rickhg12hs said, it can be modeled better.
We are currently using GA4 data API and faced the issue when custom dimensions returns value "(not set)".
We were using the following article to set custom dimension for the session count, but we still receiving "(not set)" values.
Example of request:
{
"dateRanges": [
{
"startDate": "2021-09-01",
"endDate": "2021-09-05"
}
],
"offset": 0,
"limit": 100,
"dimensionFilter": {
"filter": {
"fieldName": "eventName",
"stringFilter": {
"matchType": 1,
"value": "screen_view",
"caseSensitive": true
}
}
},
"dimensions": [
{
"name": "customUser:applicationID"
},
{
"name": "customEvent:ga_session_number"
},
{
"name": "dateHour"
},
{
"name": "platform"
},
{
"name": "sessionSource"
},
{
"name": "sessionMedium"
},
{
"name": "sessionCampaignName"
},
{
"name": "deviceCategory"
}
],
"metrics": [
{
"name": "userEngagementDuration"
}
]
}
Does anybody have any idea why it may happen?
Hi guys I've been trying all day to construct this simple mongo query but I can't get the desire output. Below is the query and the current output.
db.customers.aggregate(
{ $match : { "status" : "Closed" } },
{ $unwind: "$lines" },
{ $group : {
_id:{label: "$lines.label",date: {$substr: [ "$date", 0, 10 ]}},
values: { $push: { date: {$substr: [ "$date", 0, 10 ]}} },
count: { $sum: 1 }
}},
{ $project : {
_id : 1,
values:1,
count:1
}}
);
Which outputs the following.
{
"result": [
{
"_id": {
"label": "label",
"date": "2010-10-01"
},
"values": [
{
"date": "2010-10-01"
},
{
"date": "2010-10-01"
},
{
"date": "2010-10-01"
},
{
"date": "2010-10-01"
}
],
"count": 4
},
{
"_id": {
"label": "label",
"date": "2010-10-10"
},
"values": [
{
"date": "2010-10-10"
}
],
"count": 1
},
{
"_id": {
"label": "label",
"date": "2010-07-25"
},
"values": [
{
"date": "2010-07-25"
}
],
"count": 1
}
]
}
However the output below is the one that I'm looking for and just can't get. I can obviously get all the data I desire, just in the wrong places.
{
"result": [
{
"_id": "label",
"values": [
{
"date": "2010-11-27",
"count": 4
},
{
"date": "2010-10-10",
"count": 1
},
{
"date": "2010-07-25",
"count": 1
}
]
}
]
}
Like always thanks for the help and support.
Can you try this:
db.customers.aggregate([
{ $match : { "status" : "Closed" } },
{ $unwind: "$lines" },
{ $group : {
_id:{label: "$lines.label",date: {$substr: [ "$date", 0, 10 ]}},
values: { $push: { date: {$substr: [ "$date", 0, 10 ]}} },
count: { $sum: 1 }
}},
// This one I added to group them behind a single label in an array list
{ $group : {
_id:{
label: "$_id.label"
},
values : {
$push : { date : "$date", count : "$count" }
}
}
},
{ $project : {
_id : 1,
values:1,
count:1
}
}
]);
If I got your problem right, you like to group the counts + dates in an values array. That you can do with $push after the 1st group stage.