I'm trying to set the date format on a column so that dates are displayed like this: 14-Aug-2017. This is the way I'm doing it:
requests = [
{
'repeatCell':
{
'range':
{
'startRowIndex': 1,
'startColumnIndex': 4,
'endColumnIndex': 4
},
'cell':
{
"userEnteredFormat":
{
"numberFormat":
{
"type": "DATE",
"pattern": "dd-mmm-yyyy"
}
}
},
'fields': 'userEnteredFormat.numberFormat'
}
}
]
body = {"requests": requests}
response = service.spreadsheets().batchUpdate(spreadsheetId=SHEET, body=body).execute()
I want all the cells in column E except the header cell to be updated, hence the range definition. I used http://wescpy.blogspot.co.uk/2016/09/formatting-cells-in-google-sheets-with.html and https://developers.google.com/sheets/api/samples/formatting as the basis for this approach.
However, the cells don't show their contents using that format. They continue to be in "Automatic" format, either showing the numeric value that I'm storing (the number of days from 1st Jan 1900) or (sometimes) the date.
Adding sheetId to the range definition doesn't alter the outcome.
I'm not getting an error back from the service and the response only contains the spreadsheetId and an empty replies structure [{}].
What am I getting wrong?
I've found the error - the endColumnIndex needs to be 5, not 4.
I didn't read that first linked article carefully enough!
Related
I've been through the documentation of the Google Sheets API v4 and couldn't find a way to read data from a named range.
I'm using Python, specifically, and looking for something along the lines of:
named_range = 'My Beautiful Range'
service = build('sheets', 'v4', credentials=creds)
sheet = service.spreadsheets()
result = sheet.values().get(spreadsheetId=my_id,
namedRange=named_range).execute()
values = result.get('values', [])
Is there such an API?
Yes, both spreadsheets.values.get and spreadsheets.get accepts named ranges as their range parameter.
Just keep in mind that your named ranges should be valid and existing in the spreadsheet that you are trying to access.
NOTE:
Valid Range Names:
Can contain only letters, numbers, and underscores.
Can't start with a number, or the words "true" or "false."
Can't contain any spaces or punctuation.
Must be 1–250 characters.
Can't be in either A1 or R1C1 syntax. For example, you might get an error if you give your range a name like "A1:B2" or "R1C1:R2C2."
Sample Code:
named_range = 'MyBeautifulRange'
result = sheet.values().get(spreadsheetId=my_id,
range=named_range).execute()
values = result.get('values', [])
Sample Sheet:
Sample spreadsheets.values.get request using API explorer:
Sample Response Body:
{
"range": "Sheet1!A1:B3",
"majorDimension": "ROWS",
"values": [
[
"A1",
"B1"
],
[
"A2",
"B2"
],
[
"A3",
"B3"
]
]
}
I am currently working on an application that uses MongoDB as the data repository. I am mainly concerned about the graphLookup query to establish links between different people, based on what flights they took. My document contains an array field, that in turn contains key value pairs. I need to establish the links based on one of the key:value pairs of that array.
I have already tried some queries of aggregation pipeline with $graphLookup as one of the stages and they have all worked fine. But now that I am trying to use it with an array, I am hitting a blank.
Below is the array field from the first document :
"movementSegments":[
{
"carrierCode":"MO269",
"departureDateTimeMillis":1550932676000,
"arrivalDateTimeMillis":1551019076000,
"departurePort":"DOH",
"arrivalPort":"LHR",
"departurePortText":"HAMAD INTERNATIONAL AIRPORT",
"arrivalPortText":"LONDON HEATHROW",
"serviceNameText":"",
"serviceKey":"BA007_1550932676000",
"departurePortLatLong":"25.273056,51.608056",
"arrivalPortLatLong":"51.4706,-0.461941",
"departureWeeklyTemporalSpatialWindow":"DOH_8",
"departureMonthlyTemporalSpatialWindow":"DOH_2",
"arrivalWeeklyTemporalSpatialWindow":"LHR_8",
"arrivalMonthlyTemporalSpatialWindow":"LHR_2"
}
]
The other document has the below field :
"movementSegments":[
{
"carrierCode":"MO269",
"departureDateTimeMillis":1548254276000,
"arrivalDateTimeMillis":1548340676000,
"departurePort":"DOH",
"arrivalPort":"LHR",
"departurePortText":"HAMAD INTERNATIONAL AIRPORT",
"arrivalPortText":"LONDON HEATHROW",
"serviceNameText":"",
"serviceKey":"BA003_1548254276000",
"departurePortLatLong":"25.273056,51.608056",
"arrivalPortLatLong":"51.4706,-0.461941",
"departureWeeklyTemporalSpatialWindow":"DOH_4",
"departureMonthlyTemporalSpatialWindow":"DOH_1",
"arrivalWeeklyTemporalSpatialWindow":"LHR_4",
"arrivalMonthlyTemporalSpatialWindow":"LHR_1"
},
{
"carrierCode":"MO270",
"departureDateTimeMillis":1548254276000,
"arrivalDateTimeMillis":1548340676000,
"departurePort":"DOH",
"arrivalPort":"LHR",
"departurePortText":"HAMAD INTERNATIONAL AIRPORT",
"arrivalPortText":"LONDON HEATHROW",
"serviceNameText":"",
"serviceKey":"BA003_1548254276000",
"departurePortLatLong":"25.273056,51.608056",
"arrivalPortLatLong":"51.4706,-0.461941",
"departureWeeklyTemporalSpatialWindow":"DOH_4",
"departureMonthlyTemporalSpatialWindow":"DOH_1",
"arrivalWeeklyTemporalSpatialWindow":"LHR_4",
"arrivalMonthlyTemporalSpatialWindow":"LHR_1"
}
]
And I am running the below query :
db.person_events.aggregate([
{ $match: { eventId: "22446688" } },
{
$graphLookup: {
from: 'person_events',
startWith: '$movementSegments.carrierCode',
connectFromField: 'carrierCode',
connectToField: 'carrierCode',
as: 'carrier_connections'
}
}
])
The above query creates an array field in the document, but there are no values in it. As per the expectation, both my documents should get linked based on the carrier number.
Just to be clear about the query, the documents contain an eventId field, and the match pipeline returns one document to me after the match stage.
Well, I don't know how I missed it, but here is the solution to my problem which gives me the required results :
db.person_events.aggregate([
{ $match: { eventId: "22446688" } },
{
$graphLookup: {
from: 'person_events',
startWith: '$movementSegments.carrierCode',
connectFromField: 'movementSegments.carrierCode',
connectToField: 'movementSegments.carrierCode',
as: 'carrier_connections'
}
}
])
I have a copy data activity that dynamically adds a datetime suffix to the sink file name, which is based on utcnow(). This corresponds to the start datetime in the copy data activity. I am looking to extract the 'start' element from the executionDetails array in the output:
{
"dataRead": 0,
"dataWritten": 86,
"filesWritten": 1,
"sourcePeakConnections": 1,
"sinkPeakConnections": 1,
"rowsRead": 0,
"rowsCopied": 0,
"copyDuration": 4,
"throughput": 0,
"errors": [],
"effectiveIntegrationRuntime": "FXL",
"usedParallelCopies": 1,
"executionDetails": [
{
"source": {
"type": "SqlServer"
},
"sink": {
"type": "AzureBlobFS"
},
"status": "Succeeded",
"start": "2019-08-06T12:29:20.477586Z",
"duration": 4,
"usedParallelCopies": 1,
"detailedDurations": {
"queuingDuration": 3,
"transferDuration": 1
}
}
]
}
Assuming the activity is called CopyData, I want to set the value of start to a variable. I am struggling to get this, a simple #activity('CopyData').output.executionDetails.start does not work, telling me to assign an integer value of the executionDetails array. However trying #activity('CopyData').output.executionDetails[3] errors telling me the range is (0,0). I am looking for a method to extract the datetimestamp into a string variable.
I can store executionDetails in an array variable, but still unable thereafter to extract the start value.
Already worked it out, there range is 0,0 because there is only 1 array in executionDetails containing various values. So, I just need to call the array with [0] and then call the start value, so:
#activity('CopyData').output.executionDetails[0].start
So as a workaround to difficulties creating a new sheet with groups I am trying to create and collapse these groups in a separate call to batchUpdate. I can call request an addDimensionGroup successfully, but when I request updateDimensionGroup to collapse the group I just created, either in the same API call or in a separate one, I get this error:
{
"error": {
"code": 400,
"message": "Invalid requests[1].updateDimensionGroup: dimensionGroup.depth must be \u003e 0",
"status": "INVALID_ARGUMENT"
}
}
But I'm passing depth as 0 as seen by the following JSON which I send in my request:
{
"requests":[{
"addDimensionGroup":{
"range":{
"dimension":"ROWS",
"sheetId":0,
"startIndex":2,
"endIndex":5}
}
},{
"updateDimensionGroup":{
"dimensionGroup":{
"range": {
"dimension":"ROWS",
"sheetId":0,
"startIndex":2,
"endIndex":5
},
"depth":0,
"collapsed":true
},
"fields":"*"
}
}],
"includeSpreadsheetInResponse":true}',
...
I'm not entirely sure what I am supposed to provide for "fields", the documentation for UpdateDimensionGroupRequest says it is supposed to be a string ("string ( FieldMask format)"), but the FieldMask definition itself shows the possibility of multiple paths, and doesn't tell me how they are supposed to be separated in a single string.
What am I doing wrong here?
The error message is actually instructing you that the dimensionGroup.depth value must be > 0:
If you call spreadsheets.get() on your sheet, and request only the DimensionGroup data, you'll note that your created group is actually at depth 1:
GET https://sheets.googleapis.com/v4/spreadsheets/{SSID}?fields=sheets(rowGroups)&key={API_KEY}
This makes sense, since the depth is (per API spec):
depth numberThe depth of the group, representing how many groups have a range that wholly contains the range of this group.
Note that any given particular DimensionGroup "wholly contains its own range" by definition.
If your goal is to change the status of the DimensionGroup, then you need to set its collapsed property:
{
"requests":
[
{
"updateDimensionGroup":
{
"dimensionGroup":
{
"range":
{
"sheetId": <your sheet id>,
"dimension": "ROWS",
"startIndex": 2,
"endIndex": 5
},
"collapsed": true,
"depth": 1
},
"fields": "collapsed"
}
}
]
}
For this particular Request, the only attribute you can set is collapsed - the other properties are used to identify the desired DimensionGroup to manipulate. Thus, specifying fields: "*" is equivalent to fields: "collapsed". This is not true for the majority of requests, so specifying fields: "*" and then omitting a non-required request parameter is interpreted as "Delete that missing parameter from the server's representation".
To change a DimensionGroup's depth, you must add or remove other DimensionGroups that encompass it.
I'm trying to use angular-datatables with serverside processing. However, it seems that angular-datatables expects that the data from the server is in object format (object vs array data described) with column names preceding each table datapoint. I'd like to configure angular-datatables to accept array based data since I can't modify my server side output which only outputs data in array format.
I'm configuring Datatables in my javascript like so:
var vm = this;
vm.dtOptions = DTOptionsBuilder.newOptions()
.withOption('ajax', {
url: 'output/ss_results/' + $routeParams.uuid,
type: 'GET'
})
.withDataProp('data')
.withOption('processing', true)
.withOption('serverSide', true);
My data from the server looks like this in array format:
var data = [
[
"Tiger Nixon",
"System Architect",
"$3,120"
],
[
"Garrett Winters",
"Director",
"$5,300"
]
]
But as far as I can tell, angular-datatables is expecting the data in object format like so:
[
{
"name": "Tiger Nixon",
"position": "System Architect",
"extn": "5421"
},
{
"name": "Garrett Winters",
"position": "Director",
"extn": "8422"
}
]
I tried not defining dtColumns or setting it to an empty array like vm.dtColumns = []; but I get an error message when I do that. When I configure dtColumns with a promise to load the column data via ajax I get datatables error #4 because it can't find the column name preceding my table datapoints in the data retrieved from the server.
Is it possible to configure angular-datatables to accept array based data? I can't find anything on the angular-datatables website that indicates it can be configured this way.
Edit: So I removed the .withDataProp('data') which I think was causing the problem. The table works a little better now but it's still broken. After it loads, I get the message No matching records found. Even though right below it it says Showing 1 to 10 of 60,349 entries
Previous1…456…6035Next Does anyone know why this might be?
If you want to use an array of arrays instead of an array of objects, simply refer to the array indexes instead of the object names :
$scope.dtColumns = [
DTColumnBuilder.newColumn(0).withTitle('Name'),
DTColumnBuilder.newColumn(1).withTitle('Position'),
DTColumnBuilder.newColumn(2).withTitle('Office'),
DTColumnBuilder.newColumn(3).withTitle('Start date'),
DTColumnBuilder.newColumn(4).withTitle('Salary')
]
demo using the famous "Tiger Nixon" array loaded via AJAX -> http://plnkr.co/edit/16UoRqF5hvg2YpvAP8J3?p=preview