Below is the code :
Feature:
Background:
* def Json = Java.type('Json')
* def dq = new Json()
* def result = dq.makeJson()
* def Sku = dq.makeSku()
Scenario Outline: id : <id>
* print '<id>' #From result
* print '<abc>' #From Sku
Examples:
|result|Sku|
The following is the output I need. Is it possible in Karate?
If i have id = {1,2} and abc = {3,4} i want output to be
id = 1 and abc = 3
id = 1 and abc = 4
id = 2 and abc = 3
id = 2 and abc = 4
Also can this be done for more than 2 variable inputs as well?
Write the permutation logic yourself, build an array with the results.
Note that you can iterate over key-value pairs of a JSON using karate.forEach()
Then either use a data-driven loop call (of a second feature file):
# array can be [{ id: 1, abc: 3 }, {id: 1, abc: 4 }] etc
* def result = call read('second.feature') array
Or a dynamic scenario outline:
Scenario Outline:
* print 'id = <id> and abc = <abc>'
Examples:
| array |
Refer:
https://github.com/intuit/karate#data-driven-features
https://github.com/intuit/karate#dynamic-scenario-outline
Related
When I pass a text or string as a variable from table to feature, for some reason karate.exec is breaking the argument based on space.
I have main feature where the code is
#Example 1
* def calcModel = '":: decimal calcModel = get_calc_model();"'
#Example 2
* text calcModel =
"""
:: decimal calcModel = get_calc_model();
return calcModel;
"""
* table calcDetails
| field | code | desc |
| 31 | '":: return get_name();" | '"this is name"' |
| 32 | calcModel | '"this is the calc model"' |
* call read('classpath:scripts/SetCalcModel.feature') calcDetails
Inside SetCalcModel.feature the code is
* def setCalcModel = karate.exec('/opt/local/SetCalcModel.sh --timeout 100 -field ' + field + ' -code ' + code + ' -description '+desc)
For row 1 of the table it works fine and executes following command:
command: [/opt/local/SetCalcModel.sh, --timeout, 100, -field, 31, -code, :: decimal calcModel = get_calc_model();, -description, this is the calc model], working dir: null
For row 2 it breaks with following command:
command: [/opt/local/SetCalcModel.sh, --timeout, 100, -field, 32, -code, ::, decimal, calcModel, =, get_calc_model();, -description, this is the calc model], working dir: null
I have tried this with example 1 and 2 and it keeps doing the same.
I have also tried passing line json as argument to karate.exec(), that also has same issue.
Is there a workaround here??
There is a way to pass arguments as an array of strings, use that approach instead.
For example:
* karate.exec({ args: [ 'curl', 'https://httpbin.org/anything' ] })
Refer: https://stackoverflow.com/a/73230200/143475
To get 'n' number of random values from the below array whenever i execute the test script. How i can i achieve this into Karate in a feature file.
[
"2972029540",
"2972033041",
"2972030914",
"2972028446",
"2972030851",
"2972026534",
"2972029484"
]
Here you go:
* def random = function(max){ return Math.floor(Math.random() * max) + 1 }
* def data = [ "2972029540", "2972033041", "2972030914", "2972028446", "2972030851", "2972026534", "2972029484" ]
* def count = random(data.length)
* print 'random count is', count
* def temp = data.slice(0, count)
* print temp
Read this for more info: https://stackoverflow.com/a/53975071/143475
My desired output is the following:
count tally
1 2 //
2 3 ///
3 5 /////
4 3 ///
5 2 //
My code:
my_list = [1,1,2,2,2,3,3,3,3,3,4,4,4,5,5]
my_series = pd.Series(my_list)
values_counted = pd.Series(my_series.value_counts(),name='count')
# other calculated columns left out for SO simplicity
df = pd.concat([values_counted], axis=1).sort_index()
df['tally'] = values_counted * '/'
With the code above I get the following error:
masked_arith_op
result[mask] = op(xrav[mask], y)
numpy.core._exceptions.UFuncTypeError: ufunc 'multiply' did not contain a loop with signature matching types (dtype('<U21'), dtype('<U21')) -> dtype('<U21')
In searching for solutions I found one on SO that said to try:
values_counted * float('/')
But that did not work.
In 'normal' Python outside of Dataframes the following code works:
10 * '/'
and returns
///////////
How can I achieve the same functionality in a Dataframe?
Use lambda function for repeat values, your solution is simplify:
my_list = [1,1,2,2,2,3,3,3,3,3,4,4,4,5,5]
df1 = pd.Series(my_list).value_counts().to_frame('count').sort_index()
df1['tally'] = df1['count'].apply(lambda x: x * '/')
print (df1)
count tally
1 2 //
2 3 ///
3 5 /////
4 3 ///
5 2 //
You can group the series by itself and then aggregate:
new_df = my_series.groupby(my_series).agg(**{"count": "size",
"tally": lambda s: "/" * s.size})
to get
>>> new_df
count tally
1 2 //
2 3 ///
3 5 /////
4 3 ///
5 2 //
I want to change the values present in an array using karate.set as i am using it in if condition
my code is:
> * def name = ["ankit"]
> * def value = 2
> * eval if ( value == 2) karate.set('name', 'ANKIT_DESAI')
but the value of name is not changing
Assume that as a list and modify value based on index
* def name = ["ankit"]
* def value = 2
* eval if ( value == 2) name[0] = "ANKIT_DESAI"
I have a scenario where the SQL query with a where condition will result in 2 Rows. How can assert if it is resulting in 2 rows? At present, the karate is throwing an error org.springframework.dao.IncorrectResultSizeDataAccessException: Incorrect result size: expected 1, actual 2
* def response = db.readRow( 'SELECT * from database_name.table_name where id = \"'+ id + '\";')
I believe this should help you : https://github.com/intuit/karate#schema-validation
* def foo = ['bar', 'baz']
# should be an array of size 2
* match foo == '#[2]'
Also, you should use db.readRows instead of db.readRow.
* def dogs = db.readRows('SELECT * FROM DOGS')
* match dogs contains { ID: '#(id)', NAME: 'Scooby' }
* def dog = db.readRow('SELECT * FROM DOGS D WHERE D.ID = ' + id)
* match dog.NAME == 'Scooby'