Debug mock services generated by soapUI

axis2debuggingfaultsoapuiweb services

preconditions:
1. response(generated as mock service) in soupUI
2. web-client, that knows about running mock service by address:

http://localhost:8091/cps/axis2/services/

Mock services are running OK.

When perform request from web-client,I expect to get response as specified in soapUI.
Instead of this I got general error:

org.apache.axiom.soap.SOAPProcessingException: First Element must contain the local name, Envelope , but found html

That means there are problems with response,thus html with 500 code returned.

The question is ,how can I debug what is the cause of problem?
I suspect namespaces and abstract types.

Best Answer

It's probably a bad endpoint on the client. i.e. it's not using the right URI. Or, the mockservice may be configured but not running. In this situation, SoapUI responds with an HTML page that says something like:

"There are currently 0 running soapUI MockServices" or some such.

Take a look at your WSDL that SoapUI produces. Consume that in SoapUI and you should be able to send yourself a request, see it in the mockservice log, and get a response. Once you get that working, THEN try a client. And it should work. If it doesn't, check its endpiont vs the one that the SoapUI request (built from the SoapUI mock) used. Adjust for localhost vs IP address.

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R – How to convert character into date format in R

A base R option (assuming that there are only two formats in the OP's 'create_date' column), will be to create a logical index with grepl for those date elements that start with 'year', subset the 'create_date' based on the logical index ('i1'), convert to Date class separately and assign those separately to a Date vector of the same length as the number of rows of the dataset to create the full Date class.

i1 <- grepl("^[0-9]{4}", df$create_date)
v1 <- as.Date(df$create_date[i1])
v2 <- as.Date(df$create_date[!i1],  "%m/%d/%Y")
v3 <- Sys.Date() + 0:(nrow(df)-1)   
v3[i1] <- v1
v3[!i1] <- v2
df$create_date <- v3

Or as I commented in the OP's post (first) parse_date_time from lubridate can be used

library(lubridate)
as.Date(parse_date_time(df$create_date, c('mdy', 'ymd_hms')))
#[1] "2016-08-13" "2016-08-13" "2016-08-13" "2016-08-13" 
#[5] "2016-08-13" "2016-08-13" "2016-08-13"

data

df <- structure(list(create_date = c("8/13/2016", "8/13/2016", 
"8/13/2016", 
"2016-08-13T08:26:04Z", "2016-08-13T14:30:23Z", "8/13/2016", 
"8/13/2016")), .Names = "create_date", class = "data.frame",
 row.names = c(NA, -7L))

Best Answer

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data

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