Bogus VS TypeORM

Bogus NuGet package is fake data generator which can be helpful for populating tables in a database and testing purposes. If a database is not used and Bogus populates list of data each time an application runs, the data is random, never the same. Also, the random data generated by Bogus may not meet a developer’s requirements.

A list is populated with NuGet package Bogus.

Other project either mocked data using NuGet package Bogus or a json file.

That reminds me of Bogus which also generates dummy data that I've been using for sometime now.

To do all this you need test though...and that's where ]Bogus](https://github.com/bchavez/Bogus) and Auto Bogus come in handy. They both generate semi random test data that you can use to populate whatever method you've decided to use. You can setup rules so for specific fields, they have built in generators for common things like names and addresses. Auto Bogus can be used to populate large/complicated objects with data automatically (it can be slow if you don't use .WithRecursiveDepth() or.WithTreeDepth() )

Bogus - For creating fake data Verify - Snapshot testing for .NET MELT - For testing ILogger usage Stryker - Mutation Testing for .NET TestContainers - run docker programmatically in integration tests

To keep things interesting Bogus library is used to create a Person instance.

Usage with mocked data using Bogus NuGet package.

I would say the issue is either a general issue with how Revit loads the addin, or maybe an issue with conflicts in your transitive dependencies. You can do some tests to try to figure out which. Try making a barebones Revit addin that uses a library that has no dependencies and isn't likely to be used in Revit. I'd suggest Bogus, you can use it generate a few pieces of test data and log them/display in the UI/whatever. If that works, then it would appear that Revit is fine with your addin having dependencies (which I would expect).

If you use Sequalize, TypeORM or for MongoDB, we have Mongoose these types of ORM tools, then you are safe by default because these help us against the SQL query injection attacks by default.

We decided to use MySQL for a database. and TypeOrm for ORM. The ER diagram is provided below. For example, the task_assignments table holds information about user assignments to tasks. While in DDD, there is a pattern to design denormalized tables that reflect the structure of domain objects more directly, but this time, a more conventional table design was chosen. TypeOrm models:

How does this compare to using directly an ORM lib that supports browser like TypeORM [0] via SQL.js [1]?

[0] https://typeorm.io/

* Patch a third-party library that was setting an HTTP header to `null`. NodeJS handles this case just fine, but Deno throws an error [2].

After all of that work, I finally was able to use Deno in my project. It was really cool! Unfortunately, both VS Code and IntelliJ with Deno are essentially unusable [3]. Or, at least, unacceptably slow compared to what I had with NodeJS.

[0]: https://stackoverflow.com/a/66073607

[1]: https://github.com/typeorm/typeorm/issues/6123#issuecomment-...

[2]: https://github.com/Sansossio/twisted/issues/97

[3]: https://github.com/denoland/vscode_deno/issues/895

TypeORM is a very convenient ORM for JS apps. We use it with NestJS and running it on NodeJS.

We are going to start using TypeORM as an ORM to help us interact with Postgres, but we also have an example of using Prisma in the future and everything that we have to adapt to switch the ORMs if necessary. At the end we are implementing neon.tech as a production database, right? 😉

TypeORM is a popular Object-Relational Mapping (ORM) library for Node.js. It provides a high-level abstraction over relational databases, making it easy to perform CRUD (Create, Read, Update, Delete) operations.

TypeORM places its focus on TypeScript and JavaScript (ES7+) development. It offers compatibility with various database systems, including MySQL, PostgreSQL, SQLite, and MongoDB. What sets TypeORM apart is its robust integration with TypeScript. It provides a user-friendly experience with a convenient decorator-based syntax for defining entities and relationships. Additionally, TypeORM supports the repository pattern and enables eager loading, enhancing its versatility for developers.

ᴬ typeorm officially supports mssql@v9, but the support for the custom stream builder was added in mssql@v10. Since mssql is a peer dependency of typeorm, you can force override it and use the Cloud SQL Connector with typeorm. There is an open PR to add support for mssql@v10 in typeorm.