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Json test data generator mongodb11/22/2023 ![]() ![]() JSON Template for generating IMDB Mock Data Number of critic reviews - from 1 to 350.Number of user reviews - from 1 to 10,000.Stars - one or more Realistically say 5 through 10.Writer(s) - one or more one to three for mocking purposes.Director(s) - one or more one to three for mocking purposes.Rating count - number of people who have rated the movie.Genre - one or more genres (say max of 3) from a list of about 20 - Action, Adventure, Animation, Biography, Comedy, Crime, Documentary, Drama, Family, Fantasy, Film Noir, History, Horror, Music, Musical, Mystery, Romance, Sci-Fi, Short Film, Sport, Superhero, Thriller, War, Western.MPAA Rating - one of G, PG, PG-13, R, NC-17.Year of release - 4 digit number from say 1920 to 2019.Title - Let us assume for mocking purposes that we have a random title with 4 words (use a lorem ipsum text generator function).If you look at the IMDB page for the movie "Joker" or the movie "The Shawshank Redemption", you will see that every movie has the following data: Let us say that you are working on a client app that displays information about Movies - similar to what is shown on the IMDB website. Here we will look at how we can use the JSON-Generator web site to construct the data. If you were to do a google search for "json generator" you will find that there are several websites which will help you generate JSON data for the schema that you specify. I will be exploring this in a few articles shortly.Īnother way to do this is to generate the (fake) data by using web sites like JSON-Generator or by using Node.js and NPM packages like Faker and Lodash. You can use web scraping using Node.js or Python to construct your data. One way to do this is by using web scraping (if the data is there on the internet). So, how do you generate this data that matches your schema? You don't want to manually create data by typing every single field in every single row. Mock Dataīefore you can work on constructing the Mock API, you need Mock data. I will look at a way of creating Mock APIs rapidly in a future article. You want to do faster unit testing against a local API instead of making lots of calls against a public API.You want to fake results from a public API when you are not connected to the internet.You want to fake results from a public API, especially in cases when you incur a charge from the provider.You can also use Mock APIs in many other situations: A mock API allows the front-end developers to consume a test API with the same interface as the eventual live API. You can use mock APIs and mock data to work concurrently on the front-end (could be a React Client App) and the back-end API (could be a Node/Express Rest API). Responses simulate the data the real API would return by matching the schema (data types, arrays, objects etc.)Ī mock API server is very handy during development when we don't have any live data yet. Here we suggest some specific seed scripts for different situations.A mock API server imitates a real API server by providing realistic responses to requests. When you want to use prisma migrate dev or prisma migrate reset without seeding, you can pass the -skip-seed flag.The database is reset interactively in the context of using prisma migrate dev - for example, as a result of migration history conflicts or database schema drift.You manually run the prisma migrate reset CLI command.Prisma Migrate resets the database and triggers seeding in the following scenarios: ![]() ![]() When Prisma Migrate resets the development database, seeding is triggered automatically if you have a "seed" property in the "prisma" section in your package.json. Prisma Migrate also integrates seamlessly with your seeds, assuming you follow the steps in the section below. ![]() It can be useful for a test setup or to prepare a new development environment, for example. With prisma db seed, you decide when to invoke the seed command. Integrated seeding with Prisma Migrateĭatabase seeding happens in two ways with Prisma: manually with prisma db seed and automatically in prisma migrate dev and prisma migrate reset. This can be useful to reduce memory usage (RAM) and increase execution speed of the seed script. How to use Prisma with multiple database schemas.Caveats when deploying to AWS platforms.Deploy migrations from a local environment. ![]()
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