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JSPython - trace, debug and see results

Output results to the console​

print("Hello World!") # Print to output console

# Prints current execution context to the output console
print(' * current context => ', getExecutionContext())

Assert​

Run assertions

assert("My Test 1", 5 == 10, "Testing falsy assertion")
assert("My Test 2", 5 == 5, "Testing success assertion")

return showAsserts()

Share data between calls​

session​

session You can cache values between calls in a session variable. It has the same lifetime as window variable in the browser

# Save and restore data between "Runs" in a session object
if session.someData == null:
    session.someData = "some value" # or heavy load operation
print(session.someData)

app (localStorage)​

app stores value in a localstorage - so, that is available

# Save and restore data in `localStorage` object
if app.someData == null:
    app.someData = "some value" # or heavy load operation
print(app.someData)

Show results​

You can visualize any variable in the Results Panel as an interactive grid or chart

data = [
    {color: "blue", value: 10},
    {color: "yellow", value: 20},
    {color: "red", value: 15},
    {color: "black", value: 25}
]

in Object Explorer​

# Will add a tab to the results panel
showInObjectExplorer(data, "Tab title")

# or last return statement will be visualized
return data

in a Data Grid​

createGridTab("Countries table").show(data)

plot chart​

countries = "US,Canada,Mexico,Germany,UK,France,Italy,Japan,Korea,China".split(",")
data = []
for country in countries:
    item = {}
    item.country = country
    item.sales = Math.random() * 10000 + 1000
    item.expenses = Math.random() * 5000 + 1000
    item.downloads = Math.round(Math.random() * 100000)
    data.push(item)
    
# you can provide chartType for each series
# chartTypes: Column | Bar | Scatter | Line | LineSymbols | Area | Spline | SplineSymbols | SplineArea
createChartTab("Countries Chart")
  .x("country")
  .yAxis(
    r =>
    r.title = "Sales/Expenses (US$ k)"
    r.format = "n0,"
  )
  .y("sales", r => r.chartType = "Column")
  .y("expenses", r => r.chartType = "Column")
  .ySecondaryAxis(
    r =>
    r.min = 0
    r.format = "n0,"
    r.title = "Downloads (k)"
  )
  .y("downloads", r => r.chartType = "LineSymbols")
  .plot(data)

Notifications​

Different kind of notifications

notify("Notification message")
notify("Warning message", "Warning")
alert("Alert message")