Force version of dependency in gradle plugin

Question

Is it possible to force gradle to use a different dependency in a plugin?

I want to run the openapi-generator 5.1.1 plugin, but I want it to use swagger-parser 2.0.26. The reason for this is the issue mentioned below. In that issue, the user "selliera" mentions he was able to run the plugin with that dependency (ok, he mentions 2.0.20, but the unreleased fix uses 2.0.26).

https://github.com/OpenAPITools/openapi-generator/issues/8266

I have tried using a strict version:

dependencies {
    implementation("io.swagger.parser.v3:swagger-parser") {
        version {
            strictly "2.0.26"
        }
    }
}

And using

configurations.all {
    resolutionStrategy {
        eachDependency { DependencyResolveDetails details ->
            if (details.requested.group == 'io.swagger.parser.v3' && details.requested.name =='swagger-parser') {
                details.useVersion("2.0.26")
            }
        }
    }
}

But neither seems to have any effect.

Answer 1

Works for me (gradle 5.6.4):

• To force a dependency version of a plugin, add this to the top of your build.gradle script (before the plugins {} block):

buildscript {
    configurations.all {
        resolutionStrategy {
            force 'io.swagger.parser.v3:swagger-parser:2.0.26'
        }
    }
}

• Just for clarification, if you add a similar configuration outside of the buildscript {} block, it will force a dependency version of your application instead:

configurations.all {
    resolutionStrategy {
        force 'io.swagger.parser.v3:swagger-parser:2.0.26'
    }
}

PS: By now swagger-parser 2.0.26 is a default for openapi-generator 5.4.0

PPS: I know, it's an old question, but still top in Google

Answer 2

If you know which variables you have in the dataframe in advance: use simple logic like ifelse() or dplyr::case_when() to choose between them.

If not: use functional programming. Under is an example:

library(dplyr)

f <- function(data, variable_col) {
  
  data[[variable_col]] %>% 
    purrr::imap_dbl(~ data[[.y, .x]])
  
}

toy_data$value <- f(toy_data, "variable")