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2. testing - Tools for Generating Mock Data? - Stack Overflow

   stackoverflow.com/questions/591892

   Take a look at databene benerator, a test data generator that looks close to your requirements. it can generate data for an existing table definition (or even anonymize production data) it can generate larges data set (unlimited size) it supports various input (CSV, Flat Files, DBUnit) and output format (CSV, Flat Files, DBUnit, XML, Excel ...

3. mocking - Swagger/OpenAPI mock server - Stack Overflow

   stackoverflow.com/questions/38344711

   This command line is all you need: ./prism run --mock --list --spec <your swagger spec file>. The mock server will return a dynamic response based on the OpenAPI spec. If examples are provided in the spec, prism will return them, if not it will generate dummy data based on the spec. Edit (Aug 2020): The command has changed in the latest version.

4. Data generators for SQL server? - Stack Overflow

   stackoverflow.com/questions/157600

   Nice repeatable test data. Generate SQL scripts which you can run. Nice repeatable data, also. Use an ODBC connection to generate data directly into the database. I actually don't like this as much, but you might. Here's a stripped-down one-table-only version of a data generator that writes a CSV file. import csv.

5. how to generate fake data using moq for unit test?

   stackoverflow.com/questions/7401309

   You can use faker.net to generate fake data. for Example: for dotnet core project its Faker.NETCore. dotnet add package Faker.NETCore -v 1.0.1. and then use the same in your code in the following manner:-. public void GetStudent() {. var st = new Student() st.FirstName = Faker.Name.First();

6. How to mock generators with mock.patch - Stack Overflow

   stackoverflow.com/questions/36165929

   As an alternative, we can create a “fake” iterator and assign that as a side_effect: @unittest.mock.patch("mymod.my_generator", autospec=True): def test_my_func(mm): from mymod import my_func. def fake(): yield from [items] mm.side_effect = fake. my_func() # which calls mymod.my_generator. my_func() # subsequent calls work without unwanted ...

7. C# library to populate object with random data - Stack Overflow

   stackoverflow.com/questions/6625490

   RandomPOCOGenerator is a simple reflection-based tool designed for generating and populating objects with random values. RPGenerator gen = new RPGenerator(); int maxRecursionLevel = 4; var intRes = gen.Generate<int>(maxRecursionLevel); var stringArrayRes = gen.Generate<string[]>(maxRecursionLevel);

8. How to create object with fake data in java? - Stack Overflow

   stackoverflow.com/questions/49974306

   Write a utility that generates java code which builds the test data (person ) according to your data file. 4) Keep most of your test data (person) empty. Have each test only set the fields that it needs to check. 5) Use a mocking framework (e.g. Mockito) to mock the test data.

9. Generate millions of mock data using nodejs - Stack Overflow

   stackoverflow.com/questions/53755057

   I'm trying to create millions of mock data using mocker-data-generator, I've installed this node module npm install mocker-data-generator. I've written below script to generate 100000 records, when I try to execute this file I'm getting below error: mockData.js

10. Automatically generated test data to a DB from a schema?

    stackoverflow.com/questions/1295641

    6. Here are a couple of suggestions for free tools that generate test data: Databene Benerator: supports many JDBC-capable database brands, uses XML format compatible with DbUnit, GPL license. Super Smack: originally a load-test tool for MySQL, it also supports PostgreSQL and it includes a generator of mock data.

11. Generate sample Json output from Json Schema - Stack Overflow

    stackoverflow.com/questions/21894873

    6. My team and I have created an online tool that allows you to parse JSON schema and generate an array of JSON data that complies to the schema. You can save it as .json file and parse it to your app with a Java parser. The tool is called Mock turtle - https://mockturtle.net .