Accepted Solutions
Attempt number 20 😉.
See full flow below. I'll go into each of the actions.
JSON is a Compose that contains your data.
Select uses the output from JSON and uses the following expressions:
//From
split(replace(string(outputs('JSON')), ']', '['), '[')
//Map
item()
Filter array uses the output from Select and uses the following expression.
item()
/The actual filter expression is:
@not(startsWith(item(), '}'))
Initialize variable Items creates an Array variable called items that will eventually contain the items we want.
Apply to each iterates over the items in our Filter array in chunks of 2 (2 items at a time). The first item is the date and the second item is the actual objects.
chunk(body('Filter_array'), 2)
Compose uses the following expression to get the objects in JSON format.
json(concat('{"values":[', last(item()), ']}'))
Filter array Non Zero filters our data so only the items where value is greater than zero are kept.
//From
outputs('Compose')?['values']
//Filter
item()?['value']
//The full filter expression is:
@greater(item()?['value'], 0)
Append to array variable Items adds the object to the array while also adding the date property. Because the dates are ISO dates, we can safely assume the length will always be the same regardless of date and time.
addProperty(first(body('Filter_array_Non_Zero')), 'date', slice(first(item()), 2, 24))
That should give you all the objects within the Items array variable. After the Apply to each, I've added another Compose (Output) that just shows the contents of the items array.
And the final output:
[
{
"unit": "kWh",
"type": "E",
"rate": "normal",
"direction": "consumption",
"value": 30,
"date": "2023-01-01 00:15+01:00"
},
{
"unit": "kWh",
"type": "E",
"rate": "low",
"direction": "consumption",
"value": 31,
"date": "2023-01-01 00:30+01:00"
},
{
"unit": "kWh",
"type": "E",
"rate": "low",
"direction": "consumption",
"value": 32,
"date": "2023-01-01 00:45+01:00"
}
]
Hopefully this is what you're looking for. It was much more challenging than I first thought. I was planning on taking the data, converting to XML, then running some XPath expressions. However, the data (dates) isn't in a valid format for converting to XML, so had to make some changes to make it valid, then reverse at the end. You'll need to do some testing to ensure it works with your data, but hopefully works as expected.
See full flow below. I'll go into each of the actions.
Initialize variable creates a variable of type string called data. This contains the data that you would get from your HTTP connector.
Select splits the data on new line character as input and applies some changes to the date property names so it's valid for converting to XML. The expressions used are.
//From
//You would pass in your data from your HTTP connector instead of the variable that I have
split(variables('data'), decodeUriComponent('%0A'))
//Map
//We're replacing + with --- and : with xxx (except for the last :
if(endsWith(item(), ': ['),
replace(replace(replace(item(), '+', '---'), ':', 'xxx'), 'xxx ', ':'),
item()
)
XML is a Compose that converts the data from our Select into XML. The expression used is:
//It joins the array items back to a string, then converts to XML
xml(json(concat('{"root": { value:', json(join(body('Select'), decodeUriComponent('%0A'))), '}}')))
Select Output uses XPath on the XML output to extract out only the items where the value is greater than zero. See expressions below:
//From
xpath(outputs('XML'), '//root/value/*[value/text() > "0"]')
//Date
//We revert our original changes to the date
replace(replace(replace(replace(xpath(item(), 'name(//*)'), '---', '+'), 'xxx', ':'), '_x0020_', ' '), '_x0032_', '2')
//Rate
xpath(item(), 'string(//rate/text())')
//Value
xpath(item(), 'number(//value/text())')
The final output after running the flow is below:
[
{
"Date": "2023-01-01 00:15+01:00",
"Rate": "low",
"Value": 30
},
{
"Date": "2023-01-01 00:30+01:00",
"Rate": "low",
"Value": 31
},
{
"Date": "2023-01-01 00:45+01:00",
"Rate": "low",
"Value": 32
}
]
----------------------------------------------------------------------
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It looks like this now:
The split:
split(string(body('Parse_HTTP')), decodeUriComponent('%0A'))I get the following error:
Output of the Parse:
Output of the select:
Hopefully this will work for you 🙂
See full flow below. I'll go into each of the actions.
JSON is a Compose that contains your data.
Select Stage 1 uses the following expressions to extract out the data into an array. This is the first stage of transforming the data.
//From
split(replace(string(outputs('JSON')), ']', '['), '[')
//Map
item()
Filter array uses the output from Select Stage 1 and filters out any items that don't contain the word 'unit'. The expression used here is:
item()
Select Stage 2 uses the output from Filter array and transforms the items into proper JSON, but into nested arrays which we will sort out in the next actions. The expression used is:
//Map
json(concat('{"values":[', item(), ']}'))
XML is a Compose that converts the output from Select Stage 2 to XML. The expression used is:
xml(json(concat('{"root": { items:', body('Select_Stage_2'), '}}')))
Select Final uses the output from XML, using some XPath to extract out only the items where the value is greater than 0.
//From
xpath(outputs('XML'), '//root/items/values[value > 0]')
//Map
json(item())?['values']
After running the flow now, we should get the following output.
[
{
"unit": "kWh",
"type": "E",
"rate": "normal",
"direction": "consumption",
"value": "30"
},
{
"unit": "kWh",
"type": "E",
"rate": "low",
"direction": "consumption",
"value": "31"
},
{
"unit": "kWh",
"type": "E",
"rate": "low",
"direction": "consumption",
"value": "32"
}
]
You can then use the output from Select Final to hopefully get what you're after.
----------------------------------------------------------------------
If I've answered your question, please mark the post as Solved.
If you like my response, please consider giving it a Thumbs Up.
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