questionnaire | Elegant mini-DSL for creating command line questionnaires

 by   kylebebak Python Version: 2.2.0 License: MIT

kandi X-RAY | questionnaire Summary

kandi X-RAY | questionnaire Summary

questionnaire is a Python library. questionnaire has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install questionnaire' or download it from GitHub, PyPI.

questionnaire is a mini-DSL for writing command line questionnaires. It prompts a user to answer a series of questions and returns the answers.
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            kandi-support Support

              questionnaire has a low active ecosystem.
              It has 53 star(s) with 5 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 1 have been closed. On average issues are closed in 46 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of questionnaire is 2.2.0

            kandi-Quality Quality

              questionnaire has 0 bugs and 0 code smells.

            kandi-Security Security

              questionnaire has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              questionnaire code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              questionnaire is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              questionnaire releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              questionnaire saves you 184 person hours of effort in developing the same functionality from scratch.
              It has 454 lines of code, 50 functions and 12 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed questionnaire and discovered the below as its top functions. This is intended to give you an instant insight into questionnaire implemented functionality, and help decide if they suit your requirements.
            • Prompt user for multiple options
            • Prompt the user for a question
            • Prepare options and verbose options
            • Check if thing is a string
            • Run the task
            • Return a string representation of the answer
            • Return the prompt for the given question
            • Ask the user
            • Decorator to add multiple messages
            • Add a question
            • Returns the next question
            • Checks the given condition
            • Prompt the user for raw input
            • Print to stderr
            • Set the transform function
            • Set the validation function
            • Decorator to add a raw cipher
            • Assign a prompter
            • Decorator to add one token
            • Return the operator function
            • Format answers to JSON format
            • Set the condition
            Get all kandi verified functions for this library.

            questionnaire Key Features

            No Key Features are available at this moment for questionnaire.

            questionnaire Examples and Code Snippets

            questionnaire,Validating and Transforming Answers
            Pythondot img1Lines of Code : 18dot img1License : Permissive (MIT)
            copy iconCopy
            q = Questionnaire(can_go_back=False)
            
            def email(email):
                import re
                if not re.match(r'[^@]+@[^@]+\.[^@]+', email):
                    return 'Enter a valid email'
            
            def one(options):
                if len(options) < 1:
                    return 'You must choose at least 1 ty  
            GitHub API
            Pythondot img2Lines of Code : 16dot img2License : Permissive (MIT)
            copy iconCopy
            q = Questionnaire(show_answers=False, can_go_back=False)
            q.raw('user', prompt='Username:')
            q.raw('pass', prompt='Password:', secret=True)
            
            q.run()
            r = requests.get('https://api.github.com/user/repos', auth=(q.answers.get('user'), q.answers.get('pass'  
            questionnaire,Getting Fancy
            Pythondot img3Lines of Code : 10dot img3License : Permissive (MIT)
            copy iconCopy
            q = Questionnaire()
            q.one('day', 'monday', 'friday', 'saturday')
            q.one('time', 'morning', 'night')
            
            q.many('activities', 'tacos de pastor', 'go to cantina', 'write code').condition(('time', 'night'))
            q.many('activities', 'barbacoa', 'watch footy', 'w  

            Community Discussions

            QUESTION

            Best way design and generate unique strings from an array of objects for mapping
            Asked 2021-Jun-13 at 15:26

            The problem I am trying to solve is how best to generate a unique string from a set of question/answer strings.

            So say an end user fills out a questionnaire and answers the following:

            ...

            ANSWER

            Answered 2021-Jun-12 at 23:34

            From your updated response, you should take a look at react conditional rendering which is very similar to what you want to complete.

            On your frontend you should map each question to an index in an array such as.

            Source https://stackoverflow.com/questions/67953531

            QUESTION

            How to convert Likert scale responses to numerical in Python
            Asked 2021-Jun-13 at 03:14

            I sent out a Google Form questionnaire and in select questions I used Likert scale. How best do I convert it to numerical so it can be useful in logistic regression that I want to try? The other columns I already converted to numerical via replace function. My data set now looks like this:

            Data Q1 Q2 Q3 Q4 Q5 1 0 Somewhat Agree Neutral Somewhat Disagree 3 2 3 Strongly Agree Strongly Disagree Neutral 1 3 1 Neutral Somewhat Agree Strongly Disagree 2

            Would need help please in the Python codes to effectively convert Q2 to Q4 into numerical, as in truth I have around 15 of these type of columns.

            ...

            ANSWER

            Answered 2021-Jun-13 at 03:14

            One option is replace and a replacer dict:

            Source https://stackoverflow.com/questions/67954486

            QUESTION

            Barchart for multiple variables
            Asked 2021-Jun-12 at 12:57

            [enter image description here][1]

            I have a table from a questionnaire where 390 people answered the likelihood for an activity as either unlikely, likely or very likely. The table looks as follows (for a total of 390 lines)

            Anniversary Babyshower Engagement Memorial Unlikely Likely Very likely Unlikely Likely Unlikely Likely Very likely Very likely Very likely Unlikely Likely

            What I would like is a barchart for each columns separated by the occurences of unlikely, likely and very likely. I am able to pull a barchart for one column, however I would like to have a a chart where I can see each individual column in the same graph. Is there a way to do this in ggplot?

            I would be grateful for your help.

            Thanks.

            ...

            ANSWER

            Answered 2021-May-04 at 15:49
            library(ggplot2)
            
            #creating example dataset
            dfx <- data.frame(
              Anniversary = c(sample(c("likely", "unlikely", "very_likely"), 20, replace = TRUE)),
              Annual_album = c(sample(c("likely", "unlikely", "very_likely"), 20, replace = TRUE)),
              Babyshower = c(sample(c("likely", "unlikely", "very_likely"), 20, replace = TRUE)),
              Childhoodmemories = c(sample(c("likely", "unlikely", "very_likely"), 20, replace = TRUE)),
              stringsAsFactors = FALSE
            )
            
            
            #creating a function to transform any dataset to a grouped dataset based on dataset variables(here activities)
            grouped_df <- function(dataset){
                  #creating a dataframe with each response count per activities
                  df_table <- as.data.frame(apply(dataset,2, table))  
                  
                  # creating a vector containing activities
                  activity <- rep(colnames(df_table), each = nrow(df_table))
                  
                  # creating a vector containing responses(likely, unlikely, very_likely)
                  response <- rep(rownames(df_table), times = length(colnames(df_table)))
                  
                  # creating a vector containing number of responses per activities(vote_num)
                  vote_num <- NULL    
                  for (i in seq_along(colnames(df_table))){           
                    name <- paste0(colnames(df_table)[i], "_num")
                    name <- assign(name, df_table[,i])
                    vote_num <- append(vote_num, name)
                  }
                  
                  
                  # creating final dataframe with 3 columns(activities, responses, vote_num)
                  df_final <- data.frame(
                    activity = activity,
                    response = response,
                    vote_num = vote_num,
                    stringsAsFactors = FALSE
                  )
                  return(df_final)     #retuning dataframe
            }
            
            my_dataset <- grouped_df(dfx)      #assigning the function to a variable
            
            # creating ggplot of grouped barchart
            ggplot(my_dataset, aes(fill = response, y = vote_num, x = activity)) +
              geom_bar(position = "dodge", stat = "identity")
            

            Source https://stackoverflow.com/questions/67384221

            QUESTION

            How to access the last part of a GET url in CakePHP 3
            Asked 2021-Jun-11 at 10:35

            I'm building my link like this:

            ...

            ANSWER

            Answered 2021-Jun-11 at 10:35

            That depends on your connected routes. If there is a corresponding route that has a route element defined for that value, eg

            Source https://stackoverflow.com/questions/67935244

            QUESTION

            R Shiny Mandatory Fields Survey Form
            Asked 2021-Jun-05 at 23:03

            I created a simple survey form in R Shiny (see code underneath). Now I would like to add some functionality that requires input on all questions on a specific page, before the 'Next' button works. So, if you press 'next' on the first page, but have not answered the first three questions, an alert/error message must appear. The same goes for the second, third, fourth page etc. This example has a few questions, but my final questionnaire would have around 15-20 questions.

            It would be great if someone could help me out!

            ...

            ANSWER

            Answered 2021-Jun-05 at 23:03

            Final result with working code:

            Source https://stackoverflow.com/questions/67820676

            QUESTION

            How do I get an element from an array brought through http.get?
            Asked 2021-May-28 at 19:53

            I brought an array of Question objects through http get request in Angular. Now I cannot get an element from it: Cannot read property '0' of undefined. My guess is that the request being asynchronous, it doesn't load when I try to get the element.

            This is my component where I get the questions array and i try to get the current question:

            ...

            ANSWER

            Answered 2021-May-28 at 19:53

            QUESTION

            Pandas Dataframe MultiIndex groupby with 2 levels including "all" for both levels
            Asked 2021-May-20 at 06:14

            I have a Dataframe with a jobtype and age_group as categorical variables and then F1 and F2 as numerical variables. Each row is a one person's reply to a questionnaire and I want to calculate mean values in each jobtype - age_group combination

            ...

            ANSWER

            Answered 2021-May-20 at 06:14

            I think simplists is overwrite columns to same values All before aggregate mean and then join together by concat:

            Source https://stackoverflow.com/questions/67614828

            QUESTION

            Responsive Code Only Showing Desktop and Not Mobile
            Asked 2021-May-14 at 18:27

            Wondering if anyone can help. I am trying to build just a basic responsive HTML page for our students feedback, but my code just doesn't seem to be working. It will only show the desktop version.

            CSS STYLE

            ...

            ANSWER

            Answered 2021-May-14 at 18:27

            It's nearly always better to approach responsive CSS starting from mobile and working upwards. Use min-width rather than max-width because it's easier to start from zero and work upwards and it avoids awkward boundaries such as 39.9375em.

            The simplest solution is

            Source https://stackoverflow.com/questions/67536087

            QUESTION

            Singleton pattern doesn't supported by ClientEncryption |Java 11.0.10+9 Red Hat, Getting double free detected in tcache Intermittently
            Asked 2021-May-11 at 14:23

            I am running in a situation wherein after 12-13 hr of up-time, My Azure pod running JVM crash with the below error

            free(): double free detected in tcache 2 A fatal error has been detected by the Java Runtime Environment:

            SIGSEGV (0xb) at pc=0x00007f3e214fbd21, pid=1, tid=91

            JRE version: OpenJDK Runtime Environment 18.9 (11.0.10+9) (build 11.0.10+9-LTS) Java VM: OpenJDK 64-Bit Server VM 18.9 (11.0.10+9-LTS, mixed mode, sharing, tiered, compressed oops, g1 gc, linux-amd64) Problematic frame: C [libc.so.6+0x21d21] abort+0x203

            Core dump will be written. Default location: Core dumps may be processed with "/usr/share/apport/apport %p %s %c %d %P %E" (or dumping to /home/jboss/core.1)

            An error report file with more information is saved as: /home/jboss/hs_err_pid1.log

            If you would like to submit a bug report, please visit: https://bugzilla.redhat.com/enter_bug.cgi?product=Red%20Hat%20Enterprise%20Linux%208&component=java-11-openjdk The crash happened outside the Java Virtual Machine in native code. See problematic frame for where to report the bug.

            JRE build version is 11.0.10+9-LTS(OpenJDK Runtime Environment RedHat) OpenJDK 64-Bit Server VM 18.9 (11.0.10+9-LTS, mixed mode, sharing, tiered, compressed oops, g1 gc, Linux-amd64 I am using spring boot with spring data JPA,

            I have observed from logs whenever my application opens a connection to mongo its lands on this JVM crach.

            ...

            ANSWER

            Answered 2021-May-11 at 14:22

            Found a solution for it. It's not a problem with JVM, Its problem with mongo-driver-sync Library. The singleton object creation of clientEncryption object causes JVM to Crash after a certain amount of ideal time.

            In our case, once we start the application and have some encryption it's working fine but after a certain amount of time if we kept the application ideal and then try to have the encryption using the same singleton instance, then JVM land to crash.

            With the new object for clientEncryption, it's working fine But this solution comes with a more serious problem in terms of system slowness while encrypting and decrypting the data.

            Raised the ticket to Mongo Ticket Lets see what solution they will have

            Source https://stackoverflow.com/questions/67400760

            QUESTION

            Selecting a cut-off score in SPSS
            Asked 2021-May-10 at 18:10

            I have 5 variables for one questionnaire about social support. I want to define the group with low vs. high support. According to the authors low support is defined as a sum score <= 18 AND two items scoring <= 3. It would be great to get a dummy variable which shows which people are low vs high in support.

            How can I do this in the syntax?

            Thanks ;)

            ...

            ANSWER

            Answered 2021-May-10 at 18:10

            Assuming your variables are named Var1, Var2 .... Var5, and that they are consecutive in the dataset, this should work:

            Source https://stackoverflow.com/questions/67475115

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

            Vulnerabilities

            No vulnerabilities reported

            Install questionnaire

            questionnaire is written in Python. It works with Python 2 and 3, although it's a bit prettier if you run it with Python 3. The best way to install it is with pip.
            Paste the following into a file and save it. Let's assume you save it as questions.py. Go to the command line and run python questions.py. What's happening here? We instantiate a questionnaire with q = Questionnaire(), add two questions to it, and run the questionnaire. At the end the answers are printed to stdout as JSON. Look at the second question with the "time" key. We pass tuples for our options instead of strings. The first value in these tuples is the answer value stored by the questionnaire, and the second value is the option presented to the user. In other words, the presentation of your questionnaire can be decoupled from the answers it returns.

            Support

            One of questionnaire's coolest features is asking questions conditionally based on previous answers. The API for conditional questions is simple and flexible. If you add questions with the same key to a questionnaire, the conditions assigned to the questions determine which one is presented to the user. questionnaire iterates through the questions in the order they were added, and presents the first question whose condition is satisfied, or whose condition is None. If none of the questions for a key has a condition that is satisfied, all questions for this key are skipped. A condition can be added to a question by chaining a call to condition onto the one, many, or raw call. A list of condition tuples must be passed. The first two values in a tuple, the key and the value, are required. The third value, the operator, is optional (the default operator is '=='). A key is a key for a previously answered question in the questionnaire. The key is used to look up the answer, and the answer gets compared with the value. If their relationship is true under the operator, this condition tuple is satisfied. If all the condition tuples for a question are satisfied, the question's condition is satisfied.
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            Install
          • PyPI

            pip install questionnaire

          • CLONE
          • HTTPS

            https://github.com/kylebebak/questionnaire.git

          • CLI

            gh repo clone kylebebak/questionnaire

          • sshUrl

            git@github.com:kylebebak/questionnaire.git

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