mock5 | Create and manage API mocks with Sinatra | REST library

 by   rwz Ruby Version: Current License: MIT

kandi X-RAY | mock5 Summary

mock5 is a Ruby library typically used in Web Services, REST applications. mock5 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Mock5 allows to mock external APIs with simple Sinatra Rack apps.
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                      kandi-support Support

                        summary
                        mock5 has a low active ecosystem.
                        summary
                        It has 306 star(s) with 9 fork(s). There are 6 watchers for this library.
                        summary
                        It had no major release in the last 6 months.
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                        There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
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                        It has a neutral sentiment in the developer community.
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                        The latest version of mock5 is current.
                        mock5 Support
                          Best in #REST
                            Average in #REST
                            mock5 Support
                              Best in #REST
                                Average in #REST

                                  kandi-Quality Quality

                                    summary
                                    mock5 has no bugs reported.
                                    mock5 Quality
                                      Best in #REST
                                        Average in #REST
                                        mock5 Quality
                                          Best in #REST
                                            Average in #REST

                                              kandi-Security Security

                                                summary
                                                mock5 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
                                                mock5 Security
                                                  Best in #REST
                                                    Average in #REST
                                                    mock5 Security
                                                      Best in #REST
                                                        Average in #REST

                                                          kandi-License License

                                                            summary
                                                            mock5 is licensed under the MIT License. This license is Permissive.
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                                                            Permissive licenses have the least restrictions, and you can use them in most projects.
                                                            mock5 License
                                                              Best in #REST
                                                                Average in #REST
                                                                mock5 License
                                                                  Best in #REST
                                                                    Average in #REST

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                                                                        mock5 releases are not available. You will need to build from source code and install.
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                                                                        Installation instructions, examples and code snippets are available.
                                                                        mock5 Reuse
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                                                                            mock5 Reuse
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                                                                                  Top functions reviewed by kandi - BETA
                                                                                  kandi has reviewed mock5 and discovered the below as its top functions. This is intended to give you an instant insight into mock5 implemented functionality, and help decide if they suit your requirements.
                                                                                  • Converts an endpoint into a URI normalized string .
                                                                                    • Normalizes the endpoint .
                                                                                      • Extract all routes for a route
                                                                                        • Create a new stub
                                                                                          Get all kandi verified functions for this library.
                                                                                          Get all kandi verified functions for this library.

                                                                                          mock5 Key Features

                                                                                          Create and manage API mocks with Sinatra

                                                                                          mock5 Examples and Code Snippets

                                                                                          No Code Snippets are available at this moment for mock5.
                                                                                          Community Discussions

                                                                                          Trending Discussions on mock5

                                                                                          How can I loop through variables containing ggplot2 code to plot them on the same graph in R?
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                                                                                          QUESTION

                                                                                          How can I loop through variables containing ggplot2 code to plot them on the same graph in R?
                                                                                          Asked 2020-Sep-18 at 19:34

                                                                                          I am trying to plot multiple lines in one ggplot in R using for loops. Currently, I don't believe I can use the melt() command to transition my data to long format due to some additional functionality I plan to add to the graphic down the road (filters, user inputs, etc. in a shiny dashboard - this will be my first dashboard, so please let me know if I am incorrect). I currently have the following code (see below) set up to assign a geom_line() command to a dynamic variable (produces x1 and x2). Next, I produce a vector of strings that tie to the dynamic variables created. The variable m is assigned as my ggplot() command. How do I create a plot that is the equivalent of m + x1 + x2 + scale_color_manual("red", "green") using the vector of strings to call the x# variables? Please note, this is for a QC process and over 200 variables need to be plotted in various graphs, so the solution needs to be scalable and not require me to explicitly type out each x# variable.

                                                                                          # Create mock data - need to run the timeStamp() function on it's own first
                                                                                          timeStamp <- function(){
                                                                                            start <- readline("Enter Start Date (YYYY-MM-DD): ")  
                                                                                            end <- readline("Enter End Date (YYYY-MM-DD): ")
                                                                                            
                                                                                            start <- as.POSIXct(start)
                                                                                            end <- as.POSIXct(end)
                                                                                            end <- end + as.difftime(1, unit = "days")
                                                                                            interval <- 60
                                                                                            
                                                                                            Date <- seq(from=start, by = interval*60, to=end)
                                                                                            
                                                                                            Date <- as.data.frame(Date)
                                                                                            n <- nrow(Date)
                                                                                            
                                                                                            Date <- Date[-1, ]
                                                                                            
                                                                                            Date <- as.data.frame(Date)
                                                                                            
                                                                                            assign("Date", Date, envir = .GlobalEnv)
                                                                                            
                                                                                          }
                                                                                          
                                                                                          timeStamp()
                                                                                          
                                                                                          # Run timestamp function for any leap year use format 2028-01-01 to 2028-12-31 as inputs
                                                                                          
                                                                                          # Creates remaining mock data
                                                                                          mock1 <- rep(c(1), times = 87840)
                                                                                          mock2 <- rep(c(2), times = 87840)
                                                                                          mock3 <- runif(87840, min=-100, max=100)
                                                                                          mock4 <- runif(87840, min=-10, max=10)
                                                                                          mock5 <- runif(87840, min=-150, max=150)
                                                                                          newDate <- rbind(Date, Date, Date, Date, Date,
                                                                                                           Date, Date, Date, Date, Date)
                                                                                          # Inputs to for loop
                                                                                          dataFinal <- as.data.frame(cbind(newDate, mock1, mock2, mock5, mock4, mock3))
                                                                                          name <- list(names(dataFinal))
                                                                                          price <- names(dataFinal[ ,c(4,6)])
                                                                                          
                                                                                          
                                                                                          m <- ggplot(dataFinal)
                                                                                          for (i in seq_along(price)) { 
                                                                                            dynamVar <- paste0("x", i)
                                                                                            dynamCol <- paste0("col", i)
                                                                                            assign(dynamVar, geom_line(aes_string(x = "Date", y = price[i], colour = as.factor(assign(dynamCol, price[i])))))
                                                                                          }
                                                                                          xPlot <- sprintf("x%s",seq(1:length(price)))
                                                                                          
                                                                                          # This line of code produces a mock graphic that I am wanting to recreate, but instead of specifying x1 and x2, I want to produce the graph dynamically
                                                                                          m+x1+x2+scale_colour_manual(values=c("red", "green"))
                                                                                          

                                                                                          ANSWER

                                                                                          Answered 2020-Sep-18 at 19:34

                                                                                          There's two ways to go about this. First, the additive way, which is most directly related to what you asked. Instead of a for loop, I would use purrr::reduce

                                                                                          purrr::reduce(
                                                                                            price, .init = m, 
                                                                                            ~ .x + geom_line(aes_string(x = "Date", y = .y, color = as.factor(.y))), 
                                                                                          )
                                                                                          

                                                                                          Method 2 is to use the group aesthetic of geom_line. You just need to pivot the data first.

                                                                                          dataFinal %>% 
                                                                                            dplyr::select(c(1,4,6)) %>% 
                                                                                            dplyr::sample_n(1e3) %>% 
                                                                                            tidyr::pivot_longer(-Date) %>% 
                                                                                            ggplot(aes(x = Date, y = value)) + 
                                                                                            geom_line(aes(group = name, colour = as.factor(name)))
                                                                                          

                                                                                          I sampled the data because otherwise mock5 masks mock3 (even though it is plotted)

                                                                                          As a side note, as R is largely a functional programming language, it's typically considered ill-advised to have a function (such as timeStamp) modify the global environment. Instead have it return the data such that a user can assign a symbol of his/her choice (myData <- timeStamp()). Additionally, it may also be confusing to call a variable in the global environment 'Date' as this collides with the name of the base class .

                                                                                          Source https://stackoverflow.com/questions/63958445

                                                                                          Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                                                                                          Vulnerabilities

                                                                                          No vulnerabilities reported

                                                                                          Install mock5

                                                                                          This gem could be useful for testing, and maybe development purposes. Add it to the relevant groups in your Gemfile.

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