Foxpro / New FreshBooks / Profit/Loss Report
Back to Collection Items
LOCAL loHttp
LOCAL lnSuccess
LOCAL loSbResponseBody
LOCAL loJResp
LOCAL lnRespStatusCode
LOCAL lcDescription
LOCAL lcEntry_type
LOCAL lcTotalAmount
LOCAL lcTotalCode
LOCAL j
LOCAL lnCount_j
LOCAL k
LOCAL lnCount_k
LOCAL lnCash_based
LOCAL lcCompany_name
LOCAL lcCurrency_code
LOCAL lcDownload_token
LOCAL lcEnd_date
LOCAL lcDescription
LOCAL lcEntry_type
LOCAL lcAmount
LOCAL lcCode
LOCAL lcResolution
LOCAL lcStart_date
LOCAL lcTotal_expensesDescription
LOCAL lcTotal_expensesEntry_type
LOCAL lcTotalAmount
LOCAL lcTotalCode
LOCAL lcTotal_incomeDescription
LOCAL lcTotal_incomeEntry_type
LOCAL i
LOCAL lnCount_i
* This example assumes the Chilkat API to have been previously unlocked.
* See Global Unlock Sample for sample code.
loHttp = CreateObject('Chilkat_9_5_0.Http')
* Adds the "Authorization: Bearer <access_token>" header.
loHttp.AuthToken = "<access_token>"
loHttp.SetRequestHeader("Content-Type","application/json")
loSbResponseBody = CreateObject('Chilkat_9_5_0.StringBuilder')
lnSuccess = loHttp.QuickGetSb("https://api.freshbooks.com/accounting/account/{{accountId}}/reports/accounting/profitloss_entity",loSbResponseBody)
IF (lnSuccess = 0) THEN
? loHttp.LastErrorText
RELEASE loHttp
RELEASE loSbResponseBody
CANCEL
ENDIF
loJResp = CreateObject('Chilkat_9_5_0.JsonObject')
loJResp.LoadSb(loSbResponseBody)
loJResp.EmitCompact = 0
? "Response Body:"
? loJResp.Emit()
lnRespStatusCode = loHttp.LastStatus
? "Response Status Code = " + STR(lnRespStatusCode)
IF (lnRespStatusCode >= 400) THEN
? "Response Header:"
? loHttp.LastHeader
? "Failed."
RELEASE loHttp
RELEASE loSbResponseBody
RELEASE loJResp
CANCEL
ENDIF
* Sample JSON response:
* (Sample code for parsing the JSON response is shown below)
* {
* "response": {
* "result": {
* "profitloss": {
* "cash_based": false,
* "company_name": "Postman Sandbox",
* "currency_code": "USD",
* "download_token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJhY2NvdW50aWQiOiJ3a01kMmciLCJ1c2VyaWQiOjEsImNvbnRhY3RpZCI6LTEsImxldmVsIjozLCJ0eXBlIjoicmVwb3J0Iiwib2JqZWN0aWQiOiJwcm9maXRsb3NzIiwicGFyYW1zIjp7InN0YXJ0X2RhdGUiOiIyMDE5LTA0LTI0IiwiZW5kX2RhdGUiOiIyMDE5LTA0LTI0IiwicmVzb2x1dGlvbiI6bnVsbCwiY3VycmVuY3lfY29kZSI6IlVTRCIsImNhc2hfYmFzZWQiOmZhbHNlLCJyZXBvcnRfbW9kZSI6Im1vZGVybl9lbnRpdHkifSwiaWF0IjoxNTU2MTMwNTkzLCJleHAiOjE1NTg3MjI1OTN9.YbSTjVO5hTVP_l2bo0w2m5i_11IlLBD_KePsJp5FPIg",
* "end_date": "2019-04-24",
* "expenses": [
* {
* "children": [
* {
* "children": [
* ],
* "data": [
* ],
* "description": "Gas",
* "entry_type": "debit",
* "total": {
* "amount": "141.12",
* "code": "USD"
* }
* }
* ],
* "data": [
* ],
* "description": "Car & Truck Expenses",
* "entry_type": "debit",
* "total": {
* "amount": "141.12",
* "code": "USD"
* }
* }
* ],
* "income": [
* {
* "children": [
* ],
* "data": [
* ],
* "description": "Sales",
* "entry_type": "credit",
* "total": {
* "amount": "0.00",
* "code": "USD"
* }
* },
* {
* "children": [
* ],
* "data": [
* ],
* "description": "Cost of Goods Sold",
* "entry_type": "credit",
* "total": {
* "amount": "0.00",
* "code": "USD"
* }
* }
* ],
* "labels": [
* ],
* "net_profit": {
* "children": [
* ],
* "data": [
* ],
* "description": "Net Profit (USD)",
* "entry_type": "credit",
* "total": {
* "amount": "-141.12",
* "code": "USD"
* }
* },
* "resolution": null,
* "start_date": "2019-04-24",
* "total_expenses": {
* "children": [
* ],
* "data": [
* ],
* "description": "Total Expenses",
* "entry_type": "debit",
* "total": {
* "amount": "141.12",
* "code": "USD"
* }
* },
* "total_income": {
* "children": [
* ],
* "data": [
* ],
* "description": "Gross Profit",
* "entry_type": "credit",
* "total": {
* "amount": "0.00",
* "code": "USD"
* }
* }
* }
* }
* }
* }
* Sample code for parsing the JSON response...
* Use this online tool to generate parsing code from sample JSON: Generate JSON Parsing Code
lnCash_based = loJResp.BoolOf("response.result.profitloss.cash_based")
lcCompany_name = loJResp.StringOf("response.result.profitloss.company_name")
lcCurrency_code = loJResp.StringOf("response.result.profitloss.currency_code")
lcDownload_token = loJResp.StringOf("response.result.profitloss.download_token")
lcEnd_date = loJResp.StringOf("response.result.profitloss.end_date")
lcDescription = loJResp.StringOf("response.result.profitloss.net_profit.description")
lcEntry_type = loJResp.StringOf("response.result.profitloss.net_profit.entry_type")
lcAmount = loJResp.StringOf("response.result.profitloss.net_profit.total.amount")
lcCode = loJResp.StringOf("response.result.profitloss.net_profit.total.code")
lcResolution = loJResp.StringOf("response.result.profitloss.resolution")
lcStart_date = loJResp.StringOf("response.result.profitloss.start_date")
lcTotal_expensesDescription = loJResp.StringOf("response.result.profitloss.total_expenses.description")
lcTotal_expensesEntry_type = loJResp.StringOf("response.result.profitloss.total_expenses.entry_type")
lcTotalAmount = loJResp.StringOf("response.result.profitloss.total_expenses.total.amount")
lcTotalCode = loJResp.StringOf("response.result.profitloss.total_expenses.total.code")
lcTotal_incomeDescription = loJResp.StringOf("response.result.profitloss.total_income.description")
lcTotal_incomeEntry_type = loJResp.StringOf("response.result.profitloss.total_income.entry_type")
lcTotalAmount = loJResp.StringOf("response.result.profitloss.total_income.total.amount")
lcTotalCode = loJResp.StringOf("response.result.profitloss.total_income.total.code")
i = 0
lnCount_i = loJResp.SizeOfArray("response.result.profitloss.expenses")
DO WHILE i < lnCount_i
loJResp.I = i
lcDescription = loJResp.StringOf("response.result.profitloss.expenses[i].description")
lcEntry_type = loJResp.StringOf("response.result.profitloss.expenses[i].entry_type")
lcTotalAmount = loJResp.StringOf("response.result.profitloss.expenses[i].total.amount")
lcTotalCode = loJResp.StringOf("response.result.profitloss.expenses[i].total.code")
j = 0
lnCount_j = loJResp.SizeOfArray("response.result.profitloss.expenses[i].children")
DO WHILE j < lnCount_j
loJResp.J = j
lcDescription = loJResp.StringOf("response.result.profitloss.expenses[i].children[j].description")
lcEntry_type = loJResp.StringOf("response.result.profitloss.expenses[i].children[j].entry_type")
lcTotalAmount = loJResp.StringOf("response.result.profitloss.expenses[i].children[j].total.amount")
lcTotalCode = loJResp.StringOf("response.result.profitloss.expenses[i].children[j].total.code")
k = 0
lnCount_k = loJResp.SizeOfArray("response.result.profitloss.expenses[i].children[j].children")
DO WHILE k < lnCount_k
loJResp.K = k
k = k + 1
ENDDO
k = 0
lnCount_k = loJResp.SizeOfArray("response.result.profitloss.expenses[i].children[j].data")
DO WHILE k < lnCount_k
loJResp.K = k
k = k + 1
ENDDO
j = j + 1
ENDDO
j = 0
lnCount_j = loJResp.SizeOfArray("response.result.profitloss.expenses[i].data")
DO WHILE j < lnCount_j
loJResp.J = j
j = j + 1
ENDDO
i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("response.result.profitloss.income")
DO WHILE i < lnCount_i
loJResp.I = i
lcDescription = loJResp.StringOf("response.result.profitloss.income[i].description")
lcEntry_type = loJResp.StringOf("response.result.profitloss.income[i].entry_type")
lcTotalAmount = loJResp.StringOf("response.result.profitloss.income[i].total.amount")
lcTotalCode = loJResp.StringOf("response.result.profitloss.income[i].total.code")
j = 0
lnCount_j = loJResp.SizeOfArray("response.result.profitloss.income[i].children")
DO WHILE j < lnCount_j
loJResp.J = j
j = j + 1
ENDDO
j = 0
lnCount_j = loJResp.SizeOfArray("response.result.profitloss.income[i].data")
DO WHILE j < lnCount_j
loJResp.J = j
j = j + 1
ENDDO
i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("response.result.profitloss.labels")
DO WHILE i < lnCount_i
loJResp.I = i
i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("response.result.profitloss.net_profit.children")
DO WHILE i < lnCount_i
loJResp.I = i
i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("response.result.profitloss.net_profit.data")
DO WHILE i < lnCount_i
loJResp.I = i
i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("response.result.profitloss.total_expenses.children")
DO WHILE i < lnCount_i
loJResp.I = i
i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("response.result.profitloss.total_expenses.data")
DO WHILE i < lnCount_i
loJResp.I = i
i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("response.result.profitloss.total_income.children")
DO WHILE i < lnCount_i
loJResp.I = i
i = i + 1
ENDDO
i = 0
lnCount_i = loJResp.SizeOfArray("response.result.profitloss.total_income.data")
DO WHILE i < lnCount_i
loJResp.I = i
i = i + 1
ENDDO
RELEASE loHttp
RELEASE loSbResponseBody
RELEASE loJResp
Curl Command
curl -X GET
-H "Authorization: Bearer <access_token>"
-H "Content-Type: application/json"
https://api.freshbooks.com/accounting/account/{{accountId}}/reports/accounting/profitloss_entity
Postman Collection Item JSON
{
"name": "Profit/Loss Report",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json",
"type": "text"
}
],
"url": {
"raw": "https://api.freshbooks.com/accounting/account/{{accountId}}/reports/accounting/profitloss_entity",
"protocol": "https",
"host": [
"api",
"freshbooks",
"com"
],
"path": [
"accounting",
"account",
"{{accountId}}",
"reports",
"accounting",
"profitloss_entity"
],
"query": [
{
"key": "start_date",
"value": "2019-01-01",
"description": "created during or after the given date i.e. `2019-01-01`",
"disabled": true
},
{
"key": "end_date",
"value": "2019-05-01",
"description": "created during or before the given date i.e. `2019-05-01`",
"disabled": true
},
{
"key": "currency_code",
"value": "USD",
"description": "reports using the given currency as primary currency i.e. `\"USD\"`",
"disabled": true
},
{
"key": "cash_based",
"value": "false",
"description": "True ignores billed payments and uses just collected payments i.e. `true`, `false`",
"disabled": true
},
{
"key": "resolution",
"value": "3m",
"description": "specifies how often data is calculated and stored. For example, \"3m\" would specify to return data grouped in three month intervals. i.e. `\"3m\"`",
"disabled": true
}
]
},
"description": "The Profit/Loss Report shows all the information involving both your profits and losses"
},
"response": [
{
"name": "Profit/Loss Report",
"originalRequest": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json",
"type": "text"
}
],
"url": {
"raw": "https://api.freshbooks.com/accounting/account/{{accountId}}/reports/accounting/profitloss_entity",
"protocol": "https",
"host": [
"api",
"freshbooks",
"com"
],
"path": [
"accounting",
"account",
"{{accountId}}",
"reports",
"accounting",
"profitloss_entity"
],
"query": [
{
"key": "start_date",
"value": "2019-01-01",
"description": "created during or after the given date i.e. `2019-01-01`",
"disabled": true
},
{
"key": "end_date",
"value": "2019-05-01",
"description": "created during or before the given date i.e. `2019-05-01`",
"disabled": true
},
{
"key": "currency_code",
"value": "USD",
"description": "reports using the given currency as primary currency i.e. `\"USD\"`",
"disabled": true
},
{
"key": "cash_based",
"value": "false",
"description": "True ignores billed payments and uses just collected payments i.e. `true`, `false`",
"disabled": true
},
{
"key": "resolution",
"value": "3m",
"description": "specifies how often data is calculated and stored. For example, \"3m\" would specify to return data grouped in three month intervals. i.e. `\"3m\"`",
"disabled": true
}
]
}
},
"status": "OK",
"code": 200,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Server",
"value": "nginx"
},
{
"key": "Content-Type",
"value": "application/json"
},
{
"key": "X-NewRelic-App-Data",
"value": "PxQBWV5TCBABVlVSAwEOVlcTGhE1AwE2QgNWEVlbQFtcCxYnRA9QFg1ZWU4DFVdfRgFPCkNFR0gWVEZcEBIQWFEBWw1NVkBbXQJLBEEOQRYXFBtRSlMWAgVRWFAHBAdTUQMFBVpXVVYcTwlOGg8GUwIDC1JSVwpQVQ8BVwBBFFVRCBIHag=="
},
{
"key": "Access-Control-Allow-Origin",
"value": "*"
},
{
"key": "Expires",
"value": "Tue, 24 Apr 2018 18:29:53 GMT"
},
{
"key": "Cache-Control",
"value": "no-cache"
},
{
"key": "Content-Encoding",
"value": "gzip"
},
{
"key": "Via",
"value": "1.1 google"
},
{
"key": "Via",
"value": "1.1 varnish"
},
{
"key": "Accept-Ranges",
"value": "bytes"
},
{
"key": "Accept-Ranges",
"value": "bytes"
},
{
"key": "Age",
"value": "0"
},
{
"key": "Age",
"value": "0"
},
{
"key": "Transfer-Encoding",
"value": "chunked"
},
{
"key": "Date",
"value": "Wed, 24 Apr 2019 18:29:53 GMT"
},
{
"key": "Connection",
"value": "keep-alive"
},
{
"key": "X-Served-By",
"value": "cache-mdw17369-MDW"
},
{
"key": "X-Cache",
"value": "MISS"
},
{
"key": "X-Cache-Hits",
"value": "0"
},
{
"key": "Vary",
"value": "Accept-Encoding"
},
{
"key": "Country",
"value": "CA"
},
{
"key": "Strict-Transport-Security",
"value": "max-age=31536000; includeSubDomains; preload"
}
],
"cookie": [
],
"body": "{\n \"response\": {\n \"result\": {\n \"profitloss\": {\n \"cash_based\": false,\n \"company_name\": \"Postman Sandbox\",\n \"currency_code\": \"USD\",\n \"download_token\": \"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJhY2NvdW50aWQiOiJ3a01kMmciLCJ1c2VyaWQiOjEsImNvbnRhY3RpZCI6LTEsImxldmVsIjozLCJ0eXBlIjoicmVwb3J0Iiwib2JqZWN0aWQiOiJwcm9maXRsb3NzIiwicGFyYW1zIjp7InN0YXJ0X2RhdGUiOiIyMDE5LTA0LTI0IiwiZW5kX2RhdGUiOiIyMDE5LTA0LTI0IiwicmVzb2x1dGlvbiI6bnVsbCwiY3VycmVuY3lfY29kZSI6IlVTRCIsImNhc2hfYmFzZWQiOmZhbHNlLCJyZXBvcnRfbW9kZSI6Im1vZGVybl9lbnRpdHkifSwiaWF0IjoxNTU2MTMwNTkzLCJleHAiOjE1NTg3MjI1OTN9.YbSTjVO5hTVP_l2bo0w2m5i_11IlLBD_KePsJp5FPIg\",\n \"end_date\": \"2019-04-24\",\n \"expenses\": [\n {\n \"children\": [\n {\n \"children\": [],\n \"data\": [],\n \"description\": \"Gas\",\n \"entry_type\": \"debit\",\n \"total\": {\n \"amount\": \"141.12\",\n \"code\": \"USD\"\n }\n }\n ],\n \"data\": [],\n \"description\": \"Car & Truck Expenses\",\n \"entry_type\": \"debit\",\n \"total\": {\n \"amount\": \"141.12\",\n \"code\": \"USD\"\n }\n }\n ],\n \"income\": [\n {\n \"children\": [],\n \"data\": [],\n \"description\": \"Sales\",\n \"entry_type\": \"credit\",\n \"total\": {\n \"amount\": \"0.00\",\n \"code\": \"USD\"\n }\n },\n {\n \"children\": [],\n \"data\": [],\n \"description\": \"Cost of Goods Sold\",\n \"entry_type\": \"credit\",\n \"total\": {\n \"amount\": \"0.00\",\n \"code\": \"USD\"\n }\n }\n ],\n \"labels\": [],\n \"net_profit\": {\n \"children\": [],\n \"data\": [],\n \"description\": \"Net Profit (USD)\",\n \"entry_type\": \"credit\",\n \"total\": {\n \"amount\": \"-141.12\",\n \"code\": \"USD\"\n }\n },\n \"resolution\": null,\n \"start_date\": \"2019-04-24\",\n \"total_expenses\": {\n \"children\": [],\n \"data\": [],\n \"description\": \"Total Expenses\",\n \"entry_type\": \"debit\",\n \"total\": {\n \"amount\": \"141.12\",\n \"code\": \"USD\"\n }\n },\n \"total_income\": {\n \"children\": [],\n \"data\": [],\n \"description\": \"Gross Profit\",\n \"entry_type\": \"credit\",\n \"total\": {\n \"amount\": \"0.00\",\n \"code\": \"USD\"\n }\n }\n }\n }\n }\n}"
}
]
}
