I'm stumped on this one, folks.
I am taking JSON data from an online form, parsing it, and converting it into a .csv for import. I have built and tested a flow that works exactly as needed - almost.
The online form gives users the option to enter information for anywhere from 0 to 10 children (family law intake). So, the JSON can contain data for 0 to 10 children. Incoming data for the fields contains either a six-or-eight-character Code, and then an explanation (it's in a drop-down on the online form). I need to export only a substring of that data (either the left 6 or 8 characters) into the .csv for import.
Problem is, I can't use Initialize Variable to do this within a loop (that will run x times, where x = 0 to 10).
Is there a way to substring just the raw parsed JSON data so I only grab the characters I need for inclusion in the variable table I have created for the data (prior to export to .csv)? I have tried to use the 'substring' expression, but it won't even let me select the variable I need from within the sub-data for "CHILDINV" - I'm stuck.
Accepted Solutions
Absolutely, @ArchieGoodwin, here's a solution which produces all the rows, all the headers, and the full 10 kids.
I'll admit that were this me I'd space out the logic a bit more so that others won't be blinded by the long expressions on show. One of the main things I try to show folks in a work environment that Power Automate makes an office less reliable on Jon/Janey and their wizard excel formulas. As soon as you start sprinkling long 'formula' everywhere here, anyone taking over the management of it might still be a bit taken aback.
If I were to do that here, I might make the two sides of that union in the CSV separate object variables then reference them.
Solution
This solution is transferrable if you want to apply it to more than one array in the original data.
@Paulie78 thanks for the help, and for the range fiddle, too! I had originally done ten fields that long way, and thought that there *had* to be a way to get it done with less typing. 😅
Code
kidsVAR
This just counts the number of kids, and subtracts it by one. This saves overcomplicating the multiple if() statements in the Select action.
sub(length(variables('jsonInputVAR')?['body']?['CHILDINV']), 1)
SelectKidsData
In the 'From' field this uses a trick that Paulie taught me elsewhere, the range() function. So it iterates through 10 items, regardless.
range(0, 10)
In the 'Map' 'key' fields (left), this uses some basis logic looking at the current item() number in the range, and adds 1. This provides your child number.
add(item(), 1)
In the 'Map' 'value' fields (right), this uses a simple condition. If the current item() number is greater than the number returned in the kidsVAR variable, then it places nothing ('') in the field, otherwise it picks the child data that is correspondent to the current item() number. It looks like more than it is. 👍
if(greater(item(), variables('kidsVAR')), '', variables('jsonInputVAR')?['body']?['CHILDINV'][item()]['Id'])
if(greater(item(), variables('kidsVAR')), '', variables('jsonInputVAR')?['body']?['CHILDINV'][item()]['C1NAME'])
if(greater(item(), variables('kidsVAR')), '', variables('jsonInputVAR')?['body']?['CHILDINV'][item()]['C1BD'])
if(greater(item(), variables('kidsVAR')), '', variables('jsonInputVAR')?['body']?['CHILDINV'][item()]['Gender'])
if(greater(item(), variables('kidsVAR')), '', variables('jsonInputVAR')?['body']?['CHILDINV'][item()]['C1LEGAL'])
if(greater(item(), variables('kidsVAR')), '', variables('jsonInputVAR')?['body']?['CHILDINV'][item()]['C1PHYS'])
if(greater(item(), variables('kidsVAR')), '', variables('jsonInputVAR')?['body']?['CHILDINV'][item()]['C1VISIT'])
if(greater(item(), variables('kidsVAR')), '', variables('jsonInputVAR')?['body']?['CHILDINV'][item()]['FIELD8'])
if(greater(item(), variables('kidsVAR')), '', variables('jsonInputVAR')?['body']?['CHILDINV'][item()]['ItemNumber'])
Create CSV Table
This one is basically constructing an array for the Create CSV Table action to make its data from. Don't forget to place the square brackets around it in the 'From' field:
union(removeProperty(variables('jsonInputVAR')?['body'], 'CHILDINV') , json(replace(join(body('SelectKidsData'), ', '), '}, {', ',')))
The union() function is usually used to join two arrays together, but it works with objects, too, so the main thing here is ensuring that the child data is represented as an object instead of an array, after the previous Select action has done its thing.
So, in the second section of that union function this is done by:
- Using a join() function to join the separate children items together in a string value.
- Once they're in the string, they're still actually separated by curly brackets, so the replace() function removes the ones separating the children '}, {', and puts a normal comma in their place.
- Then finally the json() function makes that all readable by the union otherwise it would error thinking it's just a string.
The first part is getting all the non-child data by simply using the removeProperty() function to strip the CHILDINV data out of the original object.
Additional Arrays
To apply this to other fields in the original JSON just requires a few tweaks. Let's look at the potential for the DOCUMENTS array field to need it.
- Add a branch after the input.
- Initialise a docsVAR integer variable in the new branch to count the items in DOCUMENTS.
- For the Select copy the original and edit it to save time to SelectDocsData.
- Change the letters either side of the add(item(),1) expressions in the key fields to make your document headers.
- Edit each value to point to DOCUMENTS instead of CHILDINV, the new docsVAR for the counts, and change the referenced field names.
- Finally, bridge the branches with the CSV:
union(removeProperty(removeProperty(variables('jsonInputVAR')?['body'], 'CHILDINV'), 'DOCUMENTS') , json(replace(join(body('SelectKidsData'), ', '), '}, {', ',')) , json(replace(join(body('SelectDocsData'), ', '), '}, {', ',')))
If there is no set limit to the documents, then take the docsVAR and add 1 to it for the other side of the range() expression.
EDIT - I've tested this on ten children ... and they're all still alive to tell the tale!
Phew! 😅
Alright, for starters, with regards to ...
Variables
You initialise any variables (using the Initialize variable action) that you want at the start of your flow, have them sitting waiting for the data.
Then, when the time comes, you use the Set variable action to set the variable.
Calling JSON Data Directly
Now, it's entirely possible that you're not calling the data correctly in the Apply to each action that you're running there which you have named "Child DATA from JSON Entries" up above.
If you are not running a Parse JSON action, and working off of that (by fair the easiest way to pick values), then for each fieldname that you want to call, you need to use this syntax:
items('NAME_OF_APPLY_TO_ALL_ACTION_THIS_IS_IN')?['NAME_OF_FIELD']
So, in your case, a typical field would be:
items('Child_DATA_from_JSON_Entries')?['C1NAME']
Now, if you want to work that into a variable, so that it's useful within the same Apply to each loop run, then you place it in an expression, there, then just pick the variable up wherever needed.
Running the Whole Thing Without An Apply to each action
This is unwise, but it can be done.
It's unwise because:
- It's Wasteful - You will need to create 10 data entry points, one for each possible and in each handle the potential for null / not present or empty fields ... on all fields.
- It's Intensive - The extra processing will likely (over time) mean more average flow actions, due to the wastefulness.
- Error Adjustments - There's more potential to have small bits of expressions slightly off.
Anyway, if you wish to reference a particular item from that asdasd array in the JSON, then you would just use something like (name 'JSON_Input' right according to your flow):
body('JSON_Input')?['CHILDINV'][0]?['C1NAME']
Now some might raise an eyebrow about the question marks and that [0] placement, but I'm pretty sure that flow is intelligent enough to follow that (it has for me, before).
Here's an example that's not quite analogous of me using that to grab the first result from a Filter array action that I know will get 1 response every time:
body('Filter_array')[0]?['Id']
Thanks for your help so far. To clarify, the Append to String Variable above is working. Basically, this flow doubles as a schema to map the JSON over to the formats (date from US to normal, removing extra characters, etc.) and creating a header row that matches the names of the data fields in the Advantage database we will be importing the results to:
So, as you can see, I'm able to initialize variables and create expressions to convert the data to the format I need, grab the substring, etc. - for all the data EXCEPT the data about children, because once I call CHILDINV, it goes into a loop. What I need is to be able to <formatDateTime> the child's birthday (C1BD), and <substring> custody status (C1PHYS, C1LEGAL) and visitation (C1VISIT), for 1 to 10 sets of data.
I can initialize variables and create my conversion expressions for the top-level data, but not for the data in the loop.
I suppose could create another flow that grabs the final CSV from Sharepoint, converts the data, and then saves it to a new CSV, but I was hoping to figure out how to do this before I created the matters.csv file.
So, in essence, how do I do this:
...for the data inside the CHILDINV part of the JSON / parsed data.
Hope this helps, and thanks again.
Solution
OK, so this might seem daunting if you haven't been exposed to some of this, but I'll be honest, I only *barely* understand how XML works, and all I do know is that these bits and bobs are pure magic.
This has heavy thanks to @JohnLiu (hope that's the right userID!) whom I pilfered this a while back for some other stuff (on here, and elsewhere).
XML & XPATH
So, this uses XML to parse the JSON data, and convert it into XML data. As far as I can fathom it, the XML data can be either an array or an object, but it still finds a way to get what you need.
You'll see two expressions used more than once below, the columnName if() statement, and the columnValue xpath() statement. I'm utilising these generic statements to grab the header information from the various fields, and then equally grab the values from those fields.
The key part in both of them is item(), which in a Select or Filter action will always be referring to a generic individual item in the array that they are processing.
Field Name if() Expression (columnName)
This really just ensures that when the field name is extracted from the XML it is formatted correctly, accounting for potential issues with code in the name, or strange alphaNumeric strings.
if(startsWith(string(xpath(item(), 'name(/*)')), '_x003'), if(equals(length(string(xpath(item(), 'name(/*)'))), 7), substring(string(xpath(item(), 'name(/*)')), 5, 1), concat(substring(string(xpath(item(), 'name(/*)')), 5, 1), substring(string(xpath(item(), 'name(/*)')), 7))), string(xpath(item(), 'name(/*)')))
Field Value xpath() Expression (columnValue)
This is much simpler, and just grabs the value of a given field.
xpath(item(), 'string(//*)')
SELECT
You'll also note that in my initial flow, here, I'm using some vanilla Select actions, too. I'm doing this to separate out the logic because I know I'm not a genius(!), and to make the layout a little more obvious as to what goes where.
For the Kids' stuff, it's actually helpful that I've gone focused on this pass, when I post the more generic version, you'll be able to understand where the changes are, and why.
The Flow
As you can see, there's two branches working simultaneously, on the left you're gathering the generic data, and on the right the kids data.
Here's a deeper drill down into the flow:
OK, now on to the specifics.
General Data Side
This side took a while, as I was uhming and ah'ing about the most expedient way to put everything togther, mostly in the csvVAR at the end, but because of that, I had to keep reconsidering this part and re-testing.
The xpath() expression in that first select is:
xpath(xml(json(concat('{ "root": { "columns": ', string(variables('jsonInputVAR')?['body']), ' } }'))), '/root/columns/*')
Essentially, this is;
- the expression concatenating data together with the concat() function,
- then ensuring that it is presented as valid JSON with the json() function,
- which is then converted by the xml() function,
- to finally be parsed by the xpath() function.
All that magic is then readable by the Select action, and the Map expressions can get to work on pulling what you really want from it.
From this data, it produces data like this:
[
{
"columnName": "FIRST",
"columnValue": "Harvey"
},
{
"columnName": "MIDDLE",
"columnValue": "Weinstein"
},
{
"columnName": "LAST",
"columnValue": "Wallbanger"
},
{
"columnName": "MAIDEN",
"columnValue": "Smith"
} ...
Then the rest is quite simply a filter to remove that CHILDINV part, and then producing the arrays that I'll generate the general data headers (SelectHeaders) and data (SelectValues) from.
The Kids Side
That initial variables() call is referring directly to the CHILDINV field in the original data.
variables('jsonInputVAR')?['body']?['CHILDINV']
Here you can see the if() statement spelled out, and similar xpath() expressions that were used on the other side, initially. However the big deal on this side is the part that you had issues with, iterating the CHILDINV data.
Looking at that first SelectKidsData action, you'll see field/column names defined and values also. Every single piece of dynamic data in that set is simply done with:
item()?['FIELD_NAME']
Where item()?['FIELD_NAME'] is one of the names presented in the CHILDINV array, like item()?['Gender'].
So, you can see, your ItemNumber field is SUPER useful here, by looking at example data from what it spouts out:
[
{
"C1ID": "3klAhq",
"C1NAME": "aaaaa aaaaa",
"C1BD": "2020-10-01",
"C1SEX": "Male",
"C1LEGAL": "CLIENT - You",
"C1PHYS": "CLIENT - You",
"C1VISIT": "CL-DISCR - Visitation at t~e Discretion of Client",
"C1NOTES": "Lots of comments because I like to counent on stuff.",
"C1NUM": 1
},
{
"C2ID": "3UM0Xn",
"C2NAME": "bbbbb bbbbb",
"C2BD": "2020-10-02",
"C2SEX": "Male",
"C2LEGAL": "CLIENT - You",
"C2PHYS": "CLIENT - You",
"C2VISIT": "CL-DISCR - Visitation at t~e Discretion of Client",
"C2NOTES": "Lots of comments because I like to counent on stuff.",
"C2NUM": 2
}...
CSV Creation
Finally, this feels like the most straightforward part, the string variable just pulls all the data together into one place, and formats it for CSV with each CSV entry encased in speech marks just in case there are commas in the data that's sent through.
HEADERS
join(split(first(split(last(split(string(body('SelectHeaders')), '[{"columnName":"')), '"}]')), '"},{"columnName":"'), '","')
join(split(first(split(last(split(string(body('SelectKidsHeaders')), '[{"columnName":"')), '"}]')), '"},{"columnName":"'), '","')
DATA
join(split(first(split(last(split(string(body('SelectValues')), '[{"columnValue":"')), '"}]')), '"},{"columnValue":"'), '","')
join(split(first(split(last(split(string(body('SelectKidsValues')), '[{"columnValue":"')), '"}]')), '"},{"columnValue":"'), '","')
Each of the four parts in the csvVAR action are basically the same, just referring to different sources, you could do it all at separate points if you'd rather, and pool it here. Essentially each expression works thusly:
- It takes a given array of data, and presents it as a string().
- It uses last() and split() on that text string (to make an array 🤪);
- splitting it on the initial characters ([{"columnValue":" for the general data),
- then taking the last item in the two part array it makes.
- Then it splits it again, this time on the final characters ("}]) in the string, here you want the first() of the two produced array items.
- The final split is on the data that is left, and you want to split on the JSON data that separating the meat that we want, "},{"columnValue":".
- Once all of that has been done, you're left with an array of all the items that you want, so you just need to join() them together with "," so that they are readable in CSV format.
The rest of the csvVAR action is just framing that data with a couple more speech marks and commas!
That should be it!
EDIT - I'm going to leave optimising the Kids' side for now as it's both late, and I need to understand how to pull a value out of that XML!
I slightly misunderstood, but you can still do it easily in one action:
I haven't done every field, but enough to get you started off. Output produced from this is:
FIRST,MIDDLE,LAST,CHILD1_ID,CHILD1_NAME,CHILD2_ID,CHILD2_NAME
Harvey,Weinstein,Wallbanger,3klAhq,aaaaa aaaaa,3UM0Xn,bbbbb bbbbb
This was my input JSON:
{
"FIRST": "Harvey",
"MIDDLE": "Weinstein",
"LAST": "Wallbanger",
"MAIDEN": "Smith",
"DOB": "2001-01-01",
"CLASS": "CLI0LGMR - Legally Married",
"ADDl": "123 Sesame Street",
"LABEL2": "Apartment 7",
"LABEL4": "R.R. #2",
"CITY": "Trenton",
"ZIP": "K8V 1R6",
"Province": "Ontarlo",
"JURISDICr": "4 years",
"PRIVEMAIL": true,
"EMAIL": "glenn@xasdasd.ca",
"PREFEMAIL": true,
"PHONE4": "343-263-4643",
"PRIVPHONEC": true,
"DAYPHONE": "613-966-777'",
"PRIVPHONE": true,
"COMPANY": "KDA Law",
"REFERREDBY": "Jeff van de K2e-t",
"FIRST2": "Karen",
"MIDDLE2": "Snarf",
"LAST2": "Wallbanger",
"MAIDEN2": "deKaren",
"DOB2": "1998-01-24",
"CLASS2": "OPP-LG1 - Legally Married",
"ADD12": "123 Complaint Bouleva~d",
"LABEL22": "Apartment 2",
"LABEL42": "R.R. 17",
"City2": "Picton",
"Province2": "Ontario",
"ZIP2": "K7L 2E4",
"JURISDICT2": "3 months",
"OpposingPartysEmailAddress": "ka~e~Sw'~ine~.ccr~",
"PHONE42": "613-966-7771",
"DAYPHONE2": "647-265-8597",
"COMPANY2": "Nestle Quinte West",
"COUNTY": "Hastings",
"COHABITATE": true,
"DATEMARRY": "2020-01-16",
"STATEMARRY": "Ontario",
"DATESEP": "2021-08-02",
"STATESEP": "Ontario",
"FIELDl": "Belleville",
"PRENUPTUAL": false,
"ISFATHER": true,
"ISMOTHER": true,
"DOM": "2000-01-27",
"DIVDATE": "2004-07-29",
"CHILDREN": true,
"ISRELATED": true,
"CHILDINV": [
{
"Id": "3klAhq",
"C1NAME": "aaaaa aaaaa",
"C1BD": "2020-10-01",
"Gender": "Male",
"C1LEGAL": "CLIENT - You",
"C1PHYS": "CLIENT - You",
"C1VISIT": "CL-DISCR - Visitation at t~e Discretion of Client",
"FIELD8": "Lots of comments because I like to counent on stuff.",
"ItemNumber": 1
},
{
"Id": "3UM0Xn",
"C1NAME": "bbbbb bbbbb",
"C1BD": "2020-10-02",
"Gender": "Male",
"C1LEGAL": "CLIENT - You",
"C1PHYS": "CLIENT - You",
"C1VISIT": "CL-DISCR - Visitation at t~e Discretion of Client",
"FIELD8": "Lots of comments because I like to counent on stuff.",
"ItemNumber": 2
},
{
"Id": "2s3wBA",
"C1NAME": "ccccc ccccc",
"C1BD": "2020-10-03",
"Gender": "Male",
"C1LEGAL": "CLIENT - You",
"C1PHYS": "CLIENT - You",
"C1VISIT": "CL-DISCR - Visitation at t~e Discretion of Client",
"FIELD8": "Lots of comments because I like to counent on stuff.",
"ItemNumber": 3
},
{
"Id": "lhgNwf",
"C1NAME": "ddddd ddddd",
"C1BD": "2020-10-04",
"Gender": "Male",
"C1LEGAL": "CLIENT - You",
"C1PHYS": "CLIENT - You",
"C1VISIT": "CL-DISCR - Visitation at t~e Discretion of Client",
"FIELD8": "Lots of comments because I like to counent on stuff.",
"ItemNumber": 4
}
],
"CHILDINV_Minimum": 0,
"INCMECY": 35000,
"INCMESY": 35000,
"OWNHOME": true,
"JTRE": 350000,
"HOUSEOWNED": 200000,
"HOUSETITITLEE": "TICOMM - Tenancy in Common",
"SELLRES": true,
"JTCASH": 15000,
"JTINS": 15000,
"JTPTY": 65000,
"JTRET": 47000,
"BIRTHEXP": 28500,
"DOCUMENTS": [],
"AGREFEE": true,
"AGREFEE_Amount": 335,
"AGREFEE_QuantitySelected": 1,
"AGREFEE_Price": 365,
"WILL": false,
"SELFPROVED": false,
"PUBLICASST": false,
"Id": "1-3",
"INCMECY_IncrementBy": 1,
"INCMESY_IncrementBy": 1,
"JTRE_IncrementBy": 1,
"HOUSEOWNED_IncrementBy": 1,
"JTCASH_IncrementBy": 1,
"JTINS_IncrementBy": 1,
"JTPTY_IncrementBy": 1,
"JTRET_IncrementBy": 1,
"BIRTHEXP_IncrementBy": 1
}
This is how you do it:
Create a select action. For the from, just literally type [0]
For the Header records, just access them directly, examples:
outputs('Compose')['FIRST']
outputs('Compose')['MIDDLE']
outputs('Compose')['LAST']For the array elements, as you know there will never be more than ten, you can just build columns for each one. Examples:
outputs('Compose')['CHILDINV']?[0]['Id']
outputs('Compose')['CHILDINV']?[0]['C1NAME']
outputs('Compose')['CHILDINV']?[1]['Id']
outputs('Compose')['CHILDINV']?[1]['C1NAME']The above give the ID and name for child one and two, you would just continue to populate the select and then you'd have the whole thing on one line of a CSV.
As before, I have copied it into a scope for you so you can see how it works:
{"id":"8a8a92db-c996-4c42-bd8f-4367-c314d244","brandColor":"#8C3900","connectionReferences":{},"connectorDisplayName":"Control","icon":"data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMzIiIGhlaWdodD0iMzIiIHZlcnNpb249IjEuMSIgdmlld0JveD0iMCAwIDMyIDMyIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPg0KIDxwYXRoIGQ9Im0wIDBoMzJ2MzJoLTMyeiIgZmlsbD0iIzhDMzkwMCIvPg0KIDxwYXRoIGQ9Im04IDEwaDE2djEyaC0xNnptMTUgMTF2LTEwaC0xNHYxMHptLTItOHY2aC0xMHYtNnptLTEgNXYtNGgtOHY0eiIgZmlsbD0iI2ZmZiIvPg0KPC9zdmc+DQo=","isTrigger":false,"operationName":"Scope","operationDefinition":{"type":"Scope","actions":{"Compose":{"type":"Compose","inputs":{"FIRST":"Harvey","MIDDLE":"Weinstein","LAST":"Wallbanger","MAIDEN":"Smith","DOB":"2001-01-01","CLASS":"CLI0LGMR - Legally Married","ADDl":"123 Sesame Street","LABEL2":"Apartment 7","LABEL4":"R.R. #2","CITY":"Trenton","ZIP":"K8V 1R6","Province":"Ontarlo","JURISDICr":"4 years","PRIVEMAIL":true,"EMAIL":"glenn@xasdasd.ca","PREFEMAIL":true,"PHONE4":"343-263-4643","PRIVPHONEC":true,"DAYPHONE":"613-966-777'","PRIVPHONE":true,"COMPANY":"KDA Law","REFERREDBY":"Jeff van de K2e-t","FIRST2":"Karen","MIDDLE2":"Snarf","LAST2":"Wallbanger","MAIDEN2":"deKaren","DOB2":"1998-01-24","CLASS2":"OPP-LG1 - Legally Married","ADD12":"123 Complaint Bouleva~d","LABEL22":"Apartment 2","LABEL42":"R.R. 17","City2":"Picton","Province2":"Ontario","ZIP2":"K7L 2E4","JURISDICT2":"3 months","OpposingPartysEmailAddress":"ka~e~Sw'~ine~.ccr~","PHONE42":"613-966-7771","DAYPHONE2":"647-265-8597","COMPANY2":"Nestle Quinte West","COUNTY":"Hastings","COHABITATE":true,"DATEMARRY":"2020-01-16","STATEMARRY":"Ontario","DATESEP":"2021-08-02","STATESEP":"Ontario","FIELDl":"Belleville","PRENUPTUAL":false,"ISFATHER":true,"ISMOTHER":true,"DOM":"2000-01-27","DIVDATE":"2004-07-29","CHILDREN":true,"ISRELATED":true,"CHILDINV":[{"Id":"3klAhq","C1NAME":"aaaaa aaaaa","C1BD":"2020-10-01","Gender":"Male","C1LEGAL":"CLIENT - You","C1PHYS":"CLIENT - You","C1VISIT":"CL-DISCR - Visitation at t~e Discretion of Client","FIELD8":"Lots of comments because I like to counent on stuff.","ItemNumber":1},{"Id":"3UM0Xn","C1NAME":"bbbbb bbbbb","C1BD":"2020-10-02","Gender":"Male","C1LEGAL":"CLIENT - You","C1PHYS":"CLIENT - You","C1VISIT":"CL-DISCR - Visitation at t~e Discretion of Client","FIELD8":"Lots of comments because I like to counent on stuff.","ItemNumber":2},{"Id":"2s3wBA","C1NAME":"ccccc ccccc","C1BD":"2020-10-03","Gender":"Male","C1LEGAL":"CLIENT - You","C1PHYS":"CLIENT - You","C1VISIT":"CL-DISCR - Visitation at t~e Discretion of Client","FIELD8":"Lots of comments because I like to counent on stuff.","ItemNumber":3},{"Id":"lhgNwf","C1NAME":"ddddd ddddd","C1BD":"2020-10-04","Gender":"Male","C1LEGAL":"CLIENT - You","C1PHYS":"CLIENT - You","C1VISIT":"CL-DISCR - Visitation at t~e Discretion of Client","FIELD8":"Lots of comments because I like to counent on stuff.","ItemNumber":4}],"CHILDINV_Minimum":0,"INCMECY":35000,"INCMESY":35000,"OWNHOME":true,"JTRE":350000,"HOUSEOWNED":200000,"HOUSETITITLEE":"TICOMM - Tenancy in Common","SELLRES":true,"JTCASH":15000,"JTINS":15000,"JTPTY":65000,"JTRET":47000,"BIRTHEXP":28500,"DOCUMENTS":[],"AGREFEE":true,"AGREFEE_Amount":335,"AGREFEE_QuantitySelected":1,"AGREFEE_Price":365,"WILL":false,"SELFPROVED":false,"PUBLICASST":false,"Id":"1-3","INCMECY_IncrementBy":1,"INCMESY_IncrementBy":1,"JTRE_IncrementBy":1,"HOUSEOWNED_IncrementBy":1,"JTCASH_IncrementBy":1,"JTINS_IncrementBy":1,"JTPTY_IncrementBy":1,"JTRET_IncrementBy":1,"BIRTHEXP_IncrementBy":1},"runAfter":{}},"Hope__you":{"type":"Compose","inputs":"Enjoy :D","runAfter":{"Create_CSV_table":["Succeeded"]}},"Select":{"type":"Select","inputs":{"from":[0],"select":{"FIRST":"@outputs('Compose')['FIRST']","MIDDLE":"@outputs('Compose')['MIDDLE']","LAST":"@outputs('Compose')['LAST']","CHILD1_ID":"@outputs('Compose')['CHILDINV']?[0]['Id']","CHILD1_NAME":"@outputs('Compose')['CHILDINV']?[0]['C1NAME']","CHILD2_ID":"@outputs('Compose')['CHILDINV']?[1]['Id']","CHILD2_NAME":"@outputs('Compose')['CHILDINV']?[1]['C1NAME']"}},"runAfter":{"Compose":["Succeeded"]}},"Create_CSV_table":{"type":"Table","inputs":{"from":"@body('Select')","format":"CSV"},"runAfter":{"Select":["Succeeded"]}}},"runAfter":{}}}
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