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Loading variables into json string using python for MS teams - python

The 3rd party system I am using (vendor product) still uses Python 2.7 and doesn't support Python 3+ so bear with me, I'm fully aware Python 3 is out and this is a limitation of the system I have to use rather than a choice.
I am trying to do an integration between this third party product and MS teams - basically, the third party system provides data, I read this into my Python script and output a message to Teams using a webhook. It mostly works, but I'm struggling to load in some of the variables from the systems data.
For example, in my code, I use the following:
messageID='"{}"'.format(item["messageId"])
recipient='"{}"'.format(item["recipient"]["email"])
subject='"{}"'.format(item["subject"])
sender='"{}"'.format(item["sender"]["email"])
which has output like this:
messageId="34239482030783472#test.net"
recipient="testuser#domain.com"
subject="Email subject here"
sender="sender#domain2.com"
This is all fine, the trouble comes when I need to format my string to post to the Teams webhook.
It currently looks like:
teams_card='{"#type": "MessageCard","#context": "http://schema.org/extensions","themeColor": "0076D7","summary": “PTR”,”sections": [{"activityTitle": "PTR Incident Created","activitySubtitle": “End “User Exposed to Phishing Threat,”facts": [{"name": “Message” ID,”value": %s}, {"name": "Subject”,”value": %s},{“name": "End User","value": %s},{“name": “sender”,”value": %s}],”markdown": true}],"potentialAction": [{"#type": "OpenUri","name": "View Related Emails","targets": [{"os": "default","uri": "https://maskedurlhere.com”}]}]}’ % (messageId,subject,recipient,sender)
which throws an error:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: not enough arguments for format string
I tried to use .format option also, but this fails with a different error:
teams_card='{"#type": "MessageCard","#context": "http://schema.org/extensions","themeColor": "0076D7","summary": “PTR”,”sections": [{"activityTitle": "PTR Incident Created","activitySubtitle": “End “User Exposed to Phishing Threat,”facts": [{"name": “Message” ID,”value": %s}, {"name": "Subject”,”value": %s},{“name": "End User","value": %s},{“name": “sender”,”value": %s}],”markdown": true}],"potentialAction": [{"#type": "OpenUri","name": "View Related Emails","targets": [{"os": "default","uri": "https://maskedurlhere.com”}]}]}’.format(messageId,subject,recipient,sender)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
KeyError: '"#type"'
The teams card variable is fine and posts to Teams successfully when it's just text, but trying to load in these variables doesn't seem to work at all.
Any ideas?

To pass dynamic values in Json you need to use format like ${value}
Please follow below example json format
Template JSON
{
"type": "AdaptiveCard",
"body": [
{
"type": "Container",
"style": "emphasis",
"items": [
{
"type": "ColumnSet",
"columns": [
{
"type": "Column",
"items": [
{
"type": "TextBlock",
"size": "Large",
"weight": "Bolder",
"text": "**EXPENSE APPROVAL**",
"wrap": true
}
],
"width": "stretch"
},
{
"type": "Column",
"items": [
{
"type": "Image",
"url": "${status_url}",
"altText": "${status}",
"height": "30px"
}
],
"width": "auto"
}
]
}
],
"bleed": true
},
{
"type": "Container",
"items": [
{
"type": "ColumnSet",
"columns": [
{
"type": "Column",
"items": [
{
"type": "TextBlock",
"size": "ExtraLarge",
"text": "${purpose}",
"wrap": true
}
],
"width": "stretch"
},
{
"type": "Column",
"items": [
{
"type": "ActionSet",
"actions": [
{
"type": "Action.OpenUrl",
"title": "EXPORT AS PDF",
"url": "https://adaptivecards.io"
}
]
}
],
"width": "auto"
}
]
},
{
"type": "TextBlock",
"spacing": "Small",
"size": "Small",
"weight": "Bolder",
"color": "Accent",
"text": "[${code}](https://adaptivecards.io)",
"wrap": true
},
{
"type": "FactSet",
"spacing": "Large",
"facts": [
{
"title": "Submitted By",
"value": "**${created_by_name}** ${creater_email}"
},
{
"title": "Duration",
"value": "${formatTicks(min(select(expenses, x, int(x.created_by))), 'yyyy-MM-dd')} - ${formatTicks(max(select(expenses, x, int(x.created_by))), 'yyyy-MM-dd')}"
},
{
"title": "Submitted On",
"value": "${formatDateTime(submitted_date, 'yyyy-MM-dd')}"
},
{
"title": "Reimbursable Amount",
"value": "$${formatNumber(sum(select(expenses, x, if(x.is_reimbursable, x.total, 0))), 2)}"
},
{
"title": "Awaiting approval from",
"value": "**${approver}** ${approver_email}"
},
{
"title": "Submitted to",
"value": "**${other_submitter}** ${other_submitter_email}"
}
]
}
]
},
{
"type": "Container",
"spacing": "Large",
"style": "emphasis",
"items": [
{
"type": "ColumnSet",
"columns": [
{
"type": "Column",
"items": [
{
"type": "TextBlock",
"weight": "Bolder",
"text": "DATE",
"wrap": true
}
],
"width": "auto"
},
{
"type": "Column",
"spacing": "Large",
"items": [
{
"type": "TextBlock",
"weight": "Bolder",
"text": "CATEGORY",
"wrap": true
}
],
"width": "stretch"
},
{
"type": "Column",
"items": [
{
"type": "TextBlock",
"weight": "Bolder",
"text": "AMOUNT",
"wrap": true
}
],
"width": "auto"
}
]
}
],
"bleed": true
},
{
"$data": "${expenses}",
"type": "Container",
"items": [
{
"type": "ColumnSet",
"columns": [
{
"type": "Column",
"items": [
{
"type": "TextBlock",
"text": "${formatDateTime(created_time, 'MM-dd')}",
"wrap": true
}
],
"width": "auto"
},
{
"type": "Column",
"spacing": "Medium",
"items": [
{
"type": "TextBlock",
"text": "${description}",
"wrap": true
}
],
"width": "stretch"
},
{
"type": "Column",
"items": [
{
"type": "TextBlock",
"text": "$${formatNumber(total, 2)}",
"wrap": true
}
],
"width": "auto"
},
{
"type": "Column",
"spacing": "Small",
"selectAction": {
"type": "Action.ToggleVisibility",
"targetElements": [
"cardContent${$index}",
"chevronDown${$index}",
"chevronUp${$index}"
]
},
"verticalContentAlignment": "Center",
"items": [
{
"type": "Image",
"id": "chevronDown${$index}",
"url": "https://adaptivecards.io/content/down.png",
"width": "20px",
"altText": "${description} $${total} collapsed"
},
{
"type": "Image",
"id": "chevronUp${$index}",
"url": "https://adaptivecards.io/content/up.png",
"width": "20px",
"altText": "${description} $${total} expanded",
"isVisible": false
}
],
"width": "auto"
}
]
},
{
"type": "Container",
"id": "cardContent${$index}",
"isVisible": false,
"items": [
{
"type": "Container",
"items": [
{
"$data": "${custom_fields}",
"type": "TextBlock",
"text": "* ${value}",
"isSubtle": true,
"wrap": true
},
{
"type": "Container",
"items": [
{
"type": "Input.Text",
"id": "comment${$index}",
"placeholder": "Add your comment here."
}
]
}
]
},
{
"type": "Container",
"items": [
{
"type": "ColumnSet",
"columns": [
{
"type": "Column",
"items": [
{
"type": "ActionSet",
"actions": [
{
"type": "Action.Submit",
"title": "Send",
"data": {
"id": "_qkQW8dJlUeLVi7ZMEzYVw",
"action": "comment",
"lineItem": 1
}
}
]
}
],
"width": "auto"
}
]
}
]
}
]
}
]
},
{
"type": "ColumnSet",
"spacing": "Large",
"separator": true,
"columns": [
{
"type": "Column",
"items": [
{
"type": "TextBlock",
"horizontalAlignment": "Right",
"text": "Total Expense Amount \t",
"wrap": true
},
{
"type": "TextBlock",
"horizontalAlignment": "Right",
"text": "Non-reimbursable Amount",
"wrap": true
},
{
"type": "TextBlock",
"horizontalAlignment": "Right",
"text": "Advance Amount",
"wrap": true
}
],
"width": "stretch"
},
{
"type": "Column",
"items": [
{
"type": "TextBlock",
"text": "$${formatNumber(sum(select(expenses, x, x.total)), 2)}",
"wrap": true
},
{
"type": "TextBlock",
"text": "(-) $${formatNumber(sum(select(expenses, x, if(x.is_reimbursable, 0, x.total))), 2)} \t",
"wrap": true
},
{
"type": "TextBlock",
"text": "(-) 0.00 \t",
"wrap": true
}
],
"width": "auto"
},
{
"type": "Column",
"width": "auto"
}
]
},
{
"type": "Container",
"style": "emphasis",
"items": [
{
"type": "ColumnSet",
"columns": [
{
"type": "Column",
"items": [
{
"type": "TextBlock",
"horizontalAlignment": "Right",
"text": "Amount to be Reimbursed",
"wrap": true
}
],
"width": "stretch"
},
{
"type": "Column",
"items": [
{
"type": "TextBlock",
"weight": "Bolder",
"text": "$${formatNumber(sum(select(expenses, x, if(x.is_reimbursable, x.total, 0))), 2)}",
"wrap": true
}
],
"width": "auto"
},
{
"type": "Column",
"width": "auto"
}
]
}
],
"bleed": true
},
{
"type": "ColumnSet",
"columns": [
{
"type": "Column",
"selectAction": {
"type": "Action.ToggleVisibility",
"targetElements": [
"cardContent4",
"showHistory",
"hideHistory"
]
},
"verticalContentAlignment": "Center",
"items": [
{
"type": "TextBlock",
"id": "showHistory",
"horizontalAlignment": "Right",
"color": "Accent",
"text": "Show history",
"wrap": true
},
{
"type": "TextBlock",
"id": "hideHistory",
"horizontalAlignment": "Right",
"color": "Accent",
"text": "Hide history",
"wrap": true,
"isVisible": false
}
],
"width": 1
}
]
},
{
"type": "Container",
"id": "cardContent4",
"isVisible": false,
"items": [
{
"type": "Container",
"items": [
{
"type": "TextBlock",
"text": "* Expense submitted by **${created_by_name}** on {{DATE(${formatDateTime(created_date, 'yyyy-MM-ddTHH:mm:ssZ')}, SHORT)}}",
"isSubtle": true,
"wrap": true
},
{
"type": "TextBlock",
"text": "* Expense ${expenses[0].status} by **${expenses[0].approver}** on {{DATE(${formatDateTime(approval_date, 'yyyy-MM-ddTHH:mm:ssZ')}, SHORT)}}",
"isSubtle": true,
"wrap": true
}
]
}
]
},
{
"type": "Container",
"items": [
{
"type": "ActionSet",
"actions": [
{
"type": "Action.Submit",
"title": "Approve",
"style": "positive",
"data": {
"id": "_qkQW8dJlUeLVi7ZMEzYVw",
"action": "approve"
}
},
{
"type": "Action.ShowCard",
"title": "Reject",
"style": "destructive",
"card": {
"type": "AdaptiveCard",
"body": [
{
"type": "Input.Text",
"id": "RejectCommentID",
"placeholder": "Please specify an appropriate reason for rejection.",
"isMultiline": true
}
],
"actions": [
{
"type": "Action.Submit",
"title": "Send",
"data": {
"id": "_qkQW8dJlUeLVi7ZMEzYVw",
"action": "reject"
}
}
],
"$schema": "http://adaptivecards.io/schemas/adaptive-card.json"
}
}
]
}
]
}
],
"$schema": "http://adaptivecards.io/schemas/adaptive-card.json",
"version": "1.2",
"fallbackText": "This card requires Adaptive Cards v1.2 support to be rendered properly."
}
Data Json
{
"code": "ER-13052",
"message": "success",
"created_by_name" : "Matt Hidinger",
"created_date" : "2019-07-15T18:33:12+0800",
"submitted_date": "2019-04-14T18:33:12+0800",
"creater_email" : "matt#contoso.com",
"status" : "Pending",
"status_url" : "https://adaptivecards.io/content/pending.png",
"approver": "Thomas",
"purpose" : "Trip to UAE",
"approval_date" : "2019-07-15T22:33:12+0800",
"approver" : "Thomas",
"approver_email" : "thomas#contoso.com",
"other_submitter" : "David",
"other_submitter_email" : "david#contoso.com",
"expenses": [
{
"expense_id": "16367000000083065",
"approver" : "Thomas",
"date": "2017-02-21",
"description": "Air Travel Expense",
"created_by": "636965431200000000",
"created_by_name": "PATRICIA",
"employee_number": "E001",
"currency_id": "16367000000000097",
"currency_code": "USD",
"paid_through_account_id": "16367000000036003",
"paid_through_account_name": "Employee Reimbursements",
"bcy_total": 13900.79,
"bcy_subtotal": 13900.79,
"total": 300,
"total_without_tax": 300,
"is_billable": true,
"is_reimbursable": true,
"reference_number": "DD145",
"due_days": "Due in 15 days",
"merchant_id": "16367000000074027",
"merchant_name": "ABS Solutions",
"status": "approved",
"created_time": "2019-06-19T18:33:12+0800",
"last_modified_time": "2017-02-21T18:42:46+0530",
"receipt_name": "receipt1.jpg",
"report_id": "16367000000083075",
"mileage_type": "non_mileage",
"report_name": "Purchase",
"is_receipt_only": false,
"distance": 0,
"per_diem_rate": 0,
"per_diem_days": 0,
"per_diem_id": "",
"per_diem_name": "",
"expense_type": "non_mileage",
"location": "Washington",
"receipt_type": "jpg",
"policy_violated": false,
"comments_count": 0,
"report_status": "submitted",
"price_precision": 2,
"mileage_rate": 0,
"mileage_unit": "km",
"receipt_status": "processed",
"is_uncategorized": false,
"is_expired": false,
"gl_code": "LG001",
"exchange_rate": 66.943366,
"start_reading": "",
"end_reading": "",
"payment_mode": "Check",
"customer_id": "27927000000075081",
"customer_name": "ACME Corp.",
"custom_fields": [
{
"customfield_id": "16367000000277001",
"label": "Other Name",
"value": "Leg 1 on Tue, Jun 19th, 2019 at 6:00 AM."
},
{
"customfield_id": "16367000000277001",
"label": "Other Name",
"value": "Leg 2 on Tue, Jun 19th, 2019 at 7:15 PM."
}
],
"project_id": "27927000001243001",
"project_name": "Coffee Research",
"transaction_description": "",
"tax_id": "16367000000086001",
"tax_name": "Sales Tax",
"tax_percentage": 2,
"amount": 207.65,
"is_inclusive_tax": false,
"vehicle_type": "Bike",
"vehicle_id": "17456000000078029",
"fuel_type": "lpg",
"engine_capacity_range": "between_1401cc_and_1600cc",
"is_personal": false,
"policy_id": "16367000000092011",
"policy_name": "LIC",
"documents": [
{
"file_name": "receipt1.jpg",
"file_size_formatted": "71.8 KB",
"attachment_order": 1,
"document_id": "16367000000083071"
}
],
"reimbursement_reference": "",
"reimbursement_date": "",
"reimbursement_paid_through_account_id": "",
"reimbursement_paid_through_account_name": "",
"reimbursement_currency_id": "",
"reimbursement_currency_code": ""
},
{
"expense_id": "16367000000083065",
"date": "2019-06-19",
"description": "Auto Mobile Expense",
"created_by": "636965431200000000",
"created_by_name": "PATRICIA",
"employee_number": "E001",
"currency_id": "16367000000000097",
"currency_code": "USD",
"paid_through_account_id": "16367000000036003",
"paid_through_account_name": "Employee Reimbursements",
"bcy_total": 13900.79,
"bcy_subtotal": 13900.79,
"total": 100,
"total_without_tax": 100,
"is_billable": true,
"is_reimbursable": true,
"reference_number": "DD145",
"due_days": "Due in 15 days",
"merchant_id": "16367000000074027",
"merchant_name": "ABS Solutions",
"status": "submitted",
"created_time": "2019-06-19T18:33:12+0800",
"last_modified_time": "2017-02-21T18:42:46+0530",
"receipt_name": "receipt1.jpg",
"report_id": "16367000000083075",
"mileage_type": "non_mileage",
"report_name": "Purchase",
"is_receipt_only": false,
"distance": 0,
"per_diem_rate": 0,
"per_diem_days": 0,
"per_diem_id": "",
"per_diem_name": "",
"expense_type": "non_mileage",
"location": "Washington",
"receipt_type": "jpg",
"policy_violated": false,
"comments_count": 0,
"report_status": "submitted",
"price_precision": 2,
"mileage_rate": 0,
"mileage_unit": "km",
"receipt_status": "processed",
"is_uncategorized": false,
"is_expired": false,
"gl_code": "LG001",
"exchange_rate": 66.943366,
"start_reading": "",
"end_reading": "",
"payment_mode": "Check",
"customer_id": "27927000000075081",
"customer_name": "ACME Corp.",
"custom_fields": [
{
"customfield_id": "16367000000277001",
"label": "Other Name",
"value": " Contoso Car Rentrals, Tues 6/19 at 7:00 AM"
}
],
"project_id": "27927000001243001",
"project_name": "Coffee Research",
"transaction_description": "",
"tax_id": "16367000000086001",
"tax_name": "Sales Tax",
"tax_percentage": 2,
"amount": 207.65,
"is_inclusive_tax": false,
"vehicle_type": "Bike",
"vehicle_id": "17456000000078029",
"fuel_type": "lpg",
"engine_capacity_range": "between_1401cc_and_1600cc",
"is_personal": false,
"policy_id": "16367000000092011",
"policy_name": "LIC",
"documents": [
{
"file_name": "receipt1.jpg",
"file_size_formatted": "71.8 KB",
"attachment_order": 1,
"document_id": "16367000000083071"
}
],
"reimbursement_reference": "",
"reimbursement_date": "",
"reimbursement_paid_through_account_id": "",
"reimbursement_paid_through_account_name": "",
"reimbursement_currency_id": "",
"reimbursement_currency_code": ""
},
{
"expense_id": "16367000000083065",
"date": "2019-06-21",
"description": "Excess Baggage Cost",
"created_by": "636967159200000000",
"created_by_name": "PATRICIA",
"employee_number": "E001",
"currency_id": "16367000000000097",
"currency_code": "USD",
"paid_through_account_id": "16367000000036003",
"paid_through_account_name": "Employee Reimbursements",
"bcy_total": 13900.79,
"bcy_subtotal": 13900.79,
"total": 50.38,
"total_without_tax": 4.3,
"is_billable": true,
"is_reimbursable": false,
"reference_number": "DD145",
"due_days": "Due in 15 days",
"merchant_id": "16367000000074027",
"merchant_name": "ABS Solutions",
"status": "submitted",
"created_time": "2019-06-21T18:33:12+0800",
"last_modified_time": "2017-02-21T18:42:46+0530",
"receipt_name": "receipt1.jpg",
"report_id": "16367000000083075",
"mileage_type": "non_mileage",
"report_name": "Purchase",
"is_receipt_only": false,
"distance": 0,
"per_diem_rate": 0,
"per_diem_days": 0,
"per_diem_id": "",
"per_diem_name": "",
"expense_type": "non_mileage",
"location": "Washington",
"receipt_type": "jpg",
"policy_violated": false,
"comments_count": 0,
"report_status": "submitted",
"price_precision": 2,
"mileage_rate": 0,
"mileage_unit": "km",
"receipt_status": "processed",
"is_uncategorized": false,
"is_expired": false,
"gl_code": "LG001",
"exchange_rate": 66.943366,
"start_reading": "",
"end_reading": "",
"payment_mode": "Check",
"customer_id": "27927000000075081",
"customer_name": "ACME Corp.",
"custom_fields": [
],
"project_id": "27927000001243001",
"project_name": "Coffee Research",
"transaction_description": "",
"tax_id": "16367000000086001",
"tax_name": "Sales Tax",
"tax_percentage": 2,
"amount": 207.65,
"is_inclusive_tax": false,
"vehicle_type": "Bike",
"vehicle_id": "17456000000078029",
"fuel_type": "lpg",
"engine_capacity_range": "between_1401cc_and_1600cc",
"is_personal": false,
"policy_id": "16367000000092011",
"policy_name": "LIC",
"documents": [
{
"file_name": "receipt1.jpg",
"file_size_formatted": "71.8 KB",
"attachment_order": 1,
"document_id": "16367000000083071"
}
],
"reimbursement_reference": "",
"reimbursement_date": "",
"reimbursement_paid_through_account_id": "",
"reimbursement_paid_through_account_name": "",
"reimbursement_currency_id": "",
"reimbursement_currency_code": ""
}
]
}
Please go through this for more info.

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"type": "AssignmentExpression",
"operator": "=",
"left": {
"type": "Identifier",
"name": "currentScroll"
},
"right": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "Identifier",
"name": "Session"
},
"property": {
"type": "Identifier",
"name": "get"
}
},
"arguments": [
{
"type": "Literal",
"value": "currentScroll",
"raw": "'currentScroll'"
}
]
}
},
"consequent": {
"type": "BlockStatement",
"body": [
{
"type": "ExpressionStatement",
"expression": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "CallExpression",
"callee": {
"type": "Identifier",
"name": "$"
},
"arguments": [
{
"type": "Literal",
"value": "body",
"raw": "'body'"
}
]
},
"property": {
"type": "Identifier",
"name": "scrollTop"
}
},
"arguments": [
{
"type": "Identifier",
"name": "currentScroll"
}
]
}
},
{
"type": "ExpressionStatement",
"expression": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "Identifier",
"name": "Session"
},
"property": {
"type": "Identifier",
"name": "set"
}
},
"arguments": [
{
"type": "Literal",
"value": "currentScroll",
"raw": "'currentScroll'"
},
{
"type": "Literal",
"value": null,
"raw": "null"
}
]
}
}
]
},
"alternate": null
},
{
"type": "VariableDeclaration",
"declarations": [
{
"type": "VariableDeclarator",
"id": {
"type": "Identifier",
"name": "link"
},
"init": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "Identifier",
"name": "document"
},
"property": {
"type": "Identifier",
"name": "createElement"
}
},
"arguments": [
{
"type": "Literal",
"value": "link",
"raw": "'link'"
}
]
}
}
],
"kind": "var"
},
{
"type": "ExpressionStatement",
"expression": {
"type": "AssignmentExpression",
"operator": "=",
"left": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "Identifier",
"name": "link"
},
"property": {
"type": "Identifier",
"name": "type"
}
},
"right": {
"type": "Literal",
"value": "image/x-icon",
"raw": "'image/x-icon'"
}
}
},
{
"type": "ExpressionStatement",
"expression": {
"type": "AssignmentExpression",
"operator": "=",
"left": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "Identifier",
"name": "link"
},
"property": {
"type": "Identifier",
"name": "rel"
}
},
"right": {
"type": "Literal",
"value": "shortcut icon",
"raw": "'shortcut icon'"
}
}
},
{
"type": "ExpressionStatement",
"expression": {
"type": "AssignmentExpression",
"operator": "=",
"left": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "Identifier",
"name": "link"
},
"property": {
"type": "Identifier",
"name": "href"
}
},
"right": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "Identifier",
"name": "Settings"
},
"property": {
"type": "Identifier",
"name": "get"
}
},
"arguments": [
{
"type": "Literal",
"value": "faviconUrl",
"raw": "'faviconUrl'"
},
{
"type": "Literal",
"value": "/img/favicon.ico",
"raw": "'/img/favicon.ico'"
}
]
}
}
},
{
"type": "ExpressionStatement",
"expression": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "MemberExpression",
"computed": true,
"object": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "Identifier",
"name": "document"
},
"property": {
"type": "Identifier",
"name": "getElementsByTagName"
}
},
"arguments": [
{
"type": "Literal",
"value": "head",
"raw": "'head'"
}
]
},
"property": {
"type": "Literal",
"value": 0,
"raw": "0"
}
},
"property": {
"type": "Identifier",
"name": "appendChild"
}
},
"arguments": [
{
"type": "Identifier",
"name": "link"
}
]
}
},
{
"type": "ExpressionStatement",
"expression": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "CallExpression",
"callee": {
"type": "Identifier",
"name": "$"
},
"arguments": [
{
"type": "Literal",
"value": "a.category-silent-hangout",
"raw": "'a.category-silent-hangout'"
}
]
},
"property": {
"type": "Identifier",
"name": "after"
}
},
"arguments": [
{
"type": "Literal",
"value": "<span class=\"silent-icons\"> <img src=\"http://codebuddies.org/images/icon-video-off.png\" alt=\"turn off video\" width=\"25\" height=\"25\"> <img src=\"http://codebuddies.org/images/icon-mute.png\" alt=\"turn off microphone\" width=\"25\" height=\"25\"></span>",
"raw": "'<span class=\"silent-icons\"> <img src=\"http://codebuddies.org/images/icon-video-off.png\" alt=\"turn off video\" width=\"25\" height=\"25\"> <img src=\"http://codebuddies.org/images/icon-mute.png\" alt=\"turn off microphone\" width=\"25\" height=\"25\"></span>'"
}
]
}
}
]
},
"generator": false,
"expression": false,
"async": false
}
}
},
{
"type": "ExpressionStatement",
"expression": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "MemberExpression",
"computed": true,
"object": {
"type": "Identifier",
"name": "Template"
},
"property": {
"type": "CallExpression",
"callee": {
"type": "Identifier",
"name": "getTemplate"
},
"arguments": [
{
"type": "Literal",
"value": "layout",
"raw": "'layout'"
}
]
}
},
"property": {
"type": "Identifier",
"name": "events"
}
},
"arguments": [
{
"type": "ObjectExpression",
"properties": [
{
"type": "Property",
"key": {
"type": "Literal",
"value": "click .inner-wrapper",
"raw": "'click .inner-wrapper'"
},
"computed": false,
"value": {
"type": "FunctionExpression",
"id": null,
"params": [
{
"type": "Identifier",
"name": "e"
}
],
"body": {
"type": "BlockStatement",
"body": [
{
"type": "IfStatement",
"test": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "CallExpression",
"callee": {
"type": "Identifier",
"name": "$"
},
"arguments": [
{
"type": "Literal",
"value": "body",
"raw": "'body'"
}
]
},
"property": {
"type": "Identifier",
"name": "hasClass"
}
},
"arguments": [
{
"type": "Literal",
"value": "mobile-nav-open",
"raw": "'mobile-nav-open'"
}
]
},
"consequent": {
"type": "BlockStatement",
"body": [
{
"type": "ExpressionStatement",
"expression": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "Identifier",
"name": "e"
},
"property": {
"type": "Identifier",
"name": "preventDefault"
}
},
"arguments": []
}
},
{
"type": "ExpressionStatement",
"expression": {
"type": "CallExpression",
"callee": {
"type": "MemberExpression",
"computed": false,
"object": {
"type": "CallExpression",
"callee": {
"type": "Identifier",
"name": "$"
},
"arguments": [
{
"type": "Literal",
"value": "body",
"raw": "'body'"
}
]
},
"property": {
"type": "Identifier",
"name": "removeClass"
}
},
"arguments": [
{
"type": "Literal",
"value": "mobile-nav-open",
"raw": "'mobile-nav-open'"
}
]
}
}
]
},
"alternate": null
}
]
},
"generator": false,
"expression": false,
"async": false
},
"kind": "init",
"method": false,
"shorthand": false
}
]
}
]
}
}
],
"sourceType": "script"
}
I want the subtree of below mentioned IF cases.
if(currentScroll=Session.get('currentScroll'))
if ($('body').hasClass('mobile-nav-open'))
Is there an easy way to extract this information in Python?
I am looking for some methods or packages in python to solve this problem, instead of completely traversing entire dictionary.

You can use the tree-sitter library for this purpose.
Check out the Usage section in the README file to setup the package.
This is what you need to do at a high-level:
from tree_sitter import Language, Parser
JS_LANGUAGE = Language('build/my-languages.so', 'javascript')
parser = Parser()
parser.set_language(JS_LANGUAGE)
parser.parse(bytes(<code string>, 'utf-8'))

I just downloaded some json from spotify and took a look into the pd.normalize_json().
But if I normalise the data i still have dictionaries within my dataframe. Also setting the level doesnt help.
DATA I want to have in my dataframe:
{
"collaborative": false,
"description": "",
"external_urls": {
"spotify": "https://open.spotify.com/playlist/5"
},
"followers": {
"href": null,
"total": 0
},
"href": "https://api.spotify.com/v1/playlists/5?additional_types=track",
"id": "5",
"images": [
{
"height": 640,
"url": "https://i.scdn.co/image/a",
"width": 640
}
],
"name": "Another",
"owner": {
"display_name": "user",
"external_urls": {
"spotify": "https://open.spotify.com/user/user"
},
"href": "https://api.spotify.com/v1/users/user",
"id": "user",
"type": "user",
"uri": "spotify:user:user"
},
"primary_color": null,
"public": true,
"snapshot_id": "M2QxNTcyYTkMDc2",
"tracks": {
"href": "https://api.spotify.com/v1/playlists/100&additional_types=track",
"items": [
{
"added_at": "2020-12-13T18:34:09Z",
"added_by": {
"external_urls": {
"spotify": "https://open.spotify.com/user/user"
},
"href": "https://api.spotify.com/v1/users/user",
"id": "user",
"type": "user",
"uri": "spotify:user:user"
},
"is_local": false,
"primary_color": null,
"track": {
"album": {
"album_type": "album",
"artists": [
{
"external_urls": {
"spotify": "https://open.spotify.com/artist/1dfeR4Had"
},
"href": "https://api.spotify.com/v1/artists/1dfDbWqFHLkxsg1d",
"id": "1dfeR4HaWDbWqFHLkxsg1d",
"name": "Q",
"type": "artist",
"uri": "spotify:artist:1dfeRqFHLkxsg1d"
}
],
"available_markets": [
"CA",
"US"
],
"external_urls": {
"spotify": "https://open.spotify.com/album/6wPXmlLzZ5cCa"
},
"href": "https://api.spotify.com/v1/albums/6wPXUJ9LzZ5cCa",
"id": "6wPXUmYJ9zZ5cCa",
"images": [
{
"height": 640,
"url": "https://i.scdn.co/image/ab676620a47",
"width": 640
},
{
"height": 300,
"url": "https://i.scdn.co/image/ab67616d0620a47",
"width": 300
},
{
"height": 64,
"url": "https://i.scdn.co/image/ab603e6620a47",
"width": 64
}
],
"name": "The (Deluxe ",
"release_date": "1920-07-17",
"release_date_precision": "day",
"total_tracks": 15,
"type": "album",
"uri": "spotify:album:6m5cCa"
},
"artists": [
{
"external_urls": {
"spotify": "https://open.spotify.com/artist/1dg1d"
},
"href": "https://api.spotify.com/v1/artists/1dsg1d",
"id": "1dfeR4HaWDbWqFHLkxsg1d",
"name": "Q",
"type": "artist",
"uri": "spotify:artist:1dxsg1d"
}
],
"available_markets": [
"CA",
"US"
],
"disc_number": 1,
"duration_ms": 21453,
"episode": false,
"explicit": false,
"external_ids": {
"isrc": "GBU6015"
},
"external_urls": {
"spotify": "https://open.spotify.com/track/5716J"
},
"href": "https://api.spotify.com/v1/tracks/5716J",
"id": "5716J",
"is_local": false,
"name": "Another",
"popularity": 73,
"preview_url": null,
"track": true,
"track_number": 3,
"type": "track",
"uri": "spotify:track:516J"
},
"video_thumbnail": {
"url": null
}
}
],
"limit": 100,
"next": null,
"offset": 0,
"previous": null,
"total": 1
},
"type": "playlist",
"uri": "spotify:playlist:fek"
}
So what are best practices to read nested data like this into one dataframe in pandas?
I'm glad for any advice.
EDIT:
so basically I want all keys as columns in my dataframe. But with normalise it stops at "tracks.items" and if I normalise this again i have the recursive problem again.

It depends on the information you are looking for. Take a look at pandas.read_json() to see if that can work. Also you can select data as such
json_output = {"collaborative": 'false',"description": "", "external_urls": {"spotify": "https://open.spotify.com/playlist/5"}}
df['collaborative'] = json_output['collaborative'] #set value of your df to value of returned json values

I have this json output and I want to make sure that top_properties is not empty.
In top_properties the key value is dynamic and they are not static. That is where I'm stuck at.
{
"id": "test",
"name": "name",
"cake_name": "test",
"metric": 0.5,
"anticipations": [
{
"time": "2018-01-01 00:00:00",
"points": 0.49128797804879504,
"top_properties": {
"LA:TB2341": 0.23,
"LA:TB2342": 0.23,
"LA:TB2343": 0.23
},
"status": 0,
"alert": false
}
I have below schema but It wont fail when top_properties is empty. I want to make sure it fails when its empty.
{
"definitions": {},
"$schema": "http://json-schema.org/draft-07/schema#",
"$id": "http://example.com/root.json",
"type": "object",
"title": "The Root Schema",
"required": [
"id",
"name",
"cake_name",
"metric",
"anticipations"
],
"properties": {
"id": {
"$id": "#/properties/id",
"type": "string",
"title": "The Id Schema",
"default": "",
"examples": [
"test"
],
"pattern": "^(.*)$"
},
"name": {
"$id": "#/properties/name",
"type": "string",
"title": "The Name Schema",
"default": "",
"examples": [
"name"
],
"pattern": "^(.*)$"
},
"cake_name": {
"$id": "#/properties/cake_name",
"type": "string",
"title": "The Cake_name Schema",
"default": "",
"examples": [
"test"
],
"pattern": "^(.*)$"
},
"metric": {
"$id": "#/properties/metric",
"type": "number",
"title": "The Metric Schema",
"default": 0.0,
"examples": [
0.5
]
},
"anticipations": {
"$id": "#/properties/anticipations",
"type": "array",
"title": "The Anticipations Schema",
"items": {
"$id": "#/properties/anticipations/items",
"type": "object",
"title": "The Items Schema",
"required": [
"time",
"points",
"top_properties",
"status",
"alert"
],
"properties": {
"time": {
"$id": "#/properties/anticipations/items/properties/time",
"type": "string",
"title": "The Time Schema",
"default": "",
"examples": [
"2018-01-01 00:00:00"
],
"pattern": "^(.*)$"
},
"points": {
"$id": "#/properties/anticipations/items/properties/points",
"type": "number",
"title": "The Points Schema",
"default": 0.0,
"examples": [
0.49128797804879504
]
},
"top_properties": {
"$id": "#/properties/anticipations/items/properties/top_properties",
"type": "object",
"title": "The Top_properties Schema",
"patternProperties": {
"[A-Za-z:0-9]": {
"type": "number"
}
},
"additionalProperties": false
},
"status": {
"$id": "#/properties/anticipations/items/properties/status",
"type": "integer",
"title": "The Status Schema",
"default": 0,
"examples": [
0
]
},
"alert": {
"$id": "#/properties/anticipations/items/properties/alert",
"type": "boolean",
"title": "The Alert Schema",
"default": false,
"examples": [
false
]
}
}
}
}
}
}
How do I use required for pattern properties since I don't have static value, how is it implemented if you have come across this situation.

You want the minProperties keyword https://json-schema.org/understanding-json-schema/reference/object.html#size
For example,
{
"type": "object",
"patternProperties": {
"[A-Za-z:0-9]": { "type": "number" }
},
"minProperties": 1
}

I am playing a little bit with the samples of the bot framework in python from here https://github.com/Microsoft/botbuilder-python
Now I want to add a simple adaptive card to the response which I believe it is the part where it says await context.send_activity(response) but I can not attach the card. I grabbed the card from the docs sample:
{
"$schema": "http://adaptivecards.io/schemas/adaptive-card.json",
"type": "AdaptiveCard",
"version": "1.0",
"body": [
{
"type": "Container",
"items": [
{
"type": "TextBlock",
"text": "Publish Adaptive Card schema",
"weight": "bolder",
"size": "medium"
},
{
"type": "ColumnSet",
"columns": [
{
"type": "Column",
"width": "auto",
"items": [
{
"type": "Image",
"url": "https://pbs.twimg.com/profile_images/3647943215/d7f12830b3c17a5a9e4afcc370e3a37e_400x400.jpeg",
"size": "small",
"style": "person"
}
]
},
{
"type": "Column",
"width": "stretch",
"items": [
{
"type": "TextBlock",
"text": "Matt Hidinger",
"weight": "bolder",
"wrap": true
},
{
"type": "TextBlock",
"spacing": "none",
"text": "Created {{DATE(2017-02-14T06:08:39Z, SHORT)}}",
"isSubtle": true,
"wrap": true
}
]
}
]
}
]
},
{
"type": "Container",
"items": [
{
"type": "TextBlock",
"text": "Now that we have defined the main rules and features of the format, we need to produce a schema and publish it to GitHub. The schema will be the starting point of our reference documentation.",
"wrap": true
},
{
"type": "FactSet",
"facts": [
{
"title": "Board:",
"value": "Adaptive Card"
},
{
"title": "List:",
"value": "Backlog"
},
{
"title": "Assigned to:",
"value": "Matt Hidinger"
},
{
"title": "Due date:",
"value": "Not set"
}
]
}
]
}
],
"actions": [
{
"type": "Action.ShowCard",
"title": "Set due date",
"card": {
"type": "AdaptiveCard",
"body": [
{
"type": "Input.Date",
"id": "dueDate"
}
],
"actions": [
{
"type": "Action.Submit",
"title": "OK"
}
]
}
},
{
"type": "Action.ShowCard",
"title": "Comment",
"card": {
"type": "AdaptiveCard",
"body": [
{
"type": "Input.Text",
"id": "comment",
"isMultiline": true,
"placeholder": "Enter your comment"
}
],
"actions": [
{
"type": "Action.Submit",
"title": "OK"
}
]
}
}
]}
I can not find a way to attach the card to the python response.

You need to create the Attachment for the activity that is sent to the user:
ADAPTIVE_CARD_ATTACHMENT = Attachment(content_type='application/vnd.microsoft.card.adaptive',
content=ADAPTIVE_CARD)
After this, you can attach it to your response activity like this:
response.attachments = [ADAPTIVE_CARD_ATTACHMENT]
Or you could add it when you create the response:
response = Activity(type='message', attachments=[ADAPTIVE_CARD_ATTACHMENT])
Note: I left out the additional code needed to create a valid activity for brevity, you still need to add the fields such as channel_id, recipient and from_property, etc.

I am trying to remove the outer (parent) layer of a JSON file so that I can process it, however I have no idea how.
As you will see by the code below, the outer 2 most layers are 2 dictionaries, however, python says the 2nd dictionary ("item") is just a string when I call its type. Am I incorrect in how I interpret the structure?
sample_object6 = {
"items":
{
"item":
[
{
"id": "0001",
"type": "donut",
"name": "Cake",
"ppu": 0.55,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
{ "id": "1002", "type": "Chocolate" },
{ "id": "1003", "type": "Blueberry" },
{ "id": "1004", "type": "Devil's Food" }
]
},
"topping":
[
{ "id": "5001", "type": "None" },
{ "id": "5002", "type": "Glazed" },
{ "id": "5005", "type": "Sugar" },
{ "id": "5007", "type": "Powdered Sugar" },
{ "id": "5006", "type": "Chocolate with Sprinkles" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
]
},
{
"id": "0002",
"type": "donut",
"name": "Raised",
"ppu": 0.55,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" }
]
},
"topping":
[
{ "id": "5001", "type": "None" },
{ "id": "5002", "type": "Glazed" },
{ "id": "5005", "type": "Sugar" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
]
},
{
"id": "0003",
"type": "donut",
"name": "Old Fashioned",
"ppu": 0.55,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
{ "id": "1002", "type": "Chocolate" }
]
},
"topping":
[
{ "id": "5001", "type": "None" },
{ "id": "5002", "type": "Glazed" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
]
},
{
"id": "0004",
"type": "bar",
"name": "Bar",
"ppu": 0.75,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
]
},
"topping":
[
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
],
"fillings":
{
"filling":
[
{ "id": "7001", "name": "None", "addcost": 0 },
{ "id": "7002", "name": "Custard", "addcost": 0.25 },
{ "id": "7003", "name": "Whipped Cream", "addcost": 0.25 }
]
}
},
{
"id": "0005",
"type": "twist",
"name": "Twist",
"ppu": 0.65,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
]
},
"topping":
[
{ "id": "5002", "type": "Glazed" },
{ "id": "5005", "type": "Sugar" },
]
},
{
"id": "0006",
"type": "filled",
"name": "Filled",
"ppu": 0.75,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
]
},
"topping":
[
{ "id": "5002", "type": "Glazed" },
{ "id": "5007", "type": "Powdered Sugar" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
],
"fillings":
{
"filling":
[
{ "id": "7002", "name": "Custard", "addcost": 0 },
{ "id": "7003", "name": "Whipped Cream", "addcost": 0 },
{ "id": "7004", "name": "Strawberry Jelly", "addcost": 0 },
{ "id": "7005", "name": "Rasberry Jelly", "addcost": 0 }
]
}
}
]
}
}
I thought that it might be possible to store the nested portion starting at the first list (right after 'item') in a variable and then work with this but if I can't get python to see that item is a dictionary inside the items dictionary, then I fear I am at a loss with how to proceed.
Does anyone know what I am doing wrong?
Thank you in advance!
As far as the processing goes, there has been none because I could not even get the string to read as a dictionary appropriately.
This is what I tried to test if it was a dictionary:
for i in sample_object6:
print(i + str(type(i)))
for n in i["item"]:
print(n + str(type(n)))

After submitting the same code that I thought I had already submitted, I noticed that python is interpreting the object correctly. I have some obvious fundamental gaps in how to work in python and I'm sorry I took it to the forum.
For the record (and for future python newbies out there like me), I used the following code which returned the proper class types:
#this returned a class type of dictionary
print(type(sample_object6["items"]))
#this returned a class type of list
print(type(sample_object6["items"]["item"]))
Thank you SungJin Steve Yoo & Pm2Ring for your help.