Additions * Instructions for manually starting the database. * Each phase now has a success criteria with how to verify. * Troubleshooting section for working with the Docker DB container. * All phases of the exercise are described in README.md (with as little advanced hints as possible). * DFD to illustrate phase 1 * Debugging starts the database container and applies schema migrations (no setup required). * Launch settings for VS Code, VS 2022 and Rider (IntelliJ IDEA). * Swagger UI is available at <http://localhost:8080/swagger/index.html> for testing.
139 lines
5.8 KiB
Markdown
139 lines
5.8 KiB
Markdown
# dotnet-interview-exercise
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This exercise is designed to test your skills in C# and .NET.
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## Technologies used in this exercise
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* .NET 8.0 / C#
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* Minimal ASP.NET Core Web API
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* Entity Framework Core
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* PostgreSQL Database (Docker)
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* HttpClient for downstream REST API calls
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* ???
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## Prerequisites
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* Latest [.NET 8 SDK](https://dotnet.microsoft.com/en-us/download/dotnet/8.0)
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* Visual Studio Code
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* Docker Desktop and docker compose plugin
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* **Disable Copilot completions** (that would make it too easy...)
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* Be ready for sharing your screen in Zoom
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* Launch settings have been configured to run and debug the web application
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## Exercise
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### Phase 1
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Note: For all API and schemas, see <https://jsonplaceholder.typicode.com/>.
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* Implement the missing code in JsonPlaceholderClient
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* Setup of the client.
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* Method for fetching one post from the external API at `https://jsonplaceholder.typicode.com/posts/{id}`.
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* In our endpoint handler, fetch the post with the ID provided.
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* Store the post received in the database using the `Post` entity, but leave out `UpdatedAt` for now.
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* Use <http://localhost:8080/swagger/index.html> for testing.
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```mermaid
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sequenceDiagram
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title Overview
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actor B as Swagger UI
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participant S as Service
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participant E as External Service
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participant D as Database
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B->>S: GetPostById
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S<<->>E: GetPostById
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S->>D: Store Post
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S->>B: Return Post
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```
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**Success Criteria: Verify that the post has been saved with the database with:**
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```bash
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$ docker compose exec --env PGPASSWORD=password db psql -h localhost -U user --db mydatabase -c "select * from posts;"
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id | user_id | title | body | updated_at
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----+---------+----------------------------------------------------------------------------+-----------------------------------------------------+------------------------
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1 | 1 | sunt aut facere repellat provident occaecati excepturi optio reprehenderit | quia et suscipit +| 1970-01-01 00:00:00+00
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| | | suscipit recusandae consequuntur expedita et cum +|
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| | | reprehenderit molestiae ut ut quas totam +|
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| | | nostrum rerum est autem sunt rem eveniet architecto |
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(1 row)
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```
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### Phase 2
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* Check whether we already have the post in the database.
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* If we do, return the post from the database, but without the internal `updated_at` timestamp.
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* If we don't, fetch the post from the external API and store it in the database, and return it.
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* **Success Criteria: Check the service logs to see if the post was read from the database, or whether the client made a call to the downstream service.**
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### Phase 3
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* Set the `UpdatedAt` property of the `Post` entity to the current date and time when storing it in the database.
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* If the post in the database has been updated less than 1 minute ago, return the one from the database.
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* If the post in the database is older than 1 minute (extra short value for testing), fetch the post from the external API again and update it in the database before returning.
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* **Success Criteria: Check the service logs to see if the post was read from the database, or whether the client made a call to the downstream service.**
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### Phase 4
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* Think about how we could improve resiliency in downstream API calls.
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* For setup, pull in the changes from the `phase4` branch.
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* It adds chaos-injecting code in `Program.cs` to simulate random failures in downstream API calls.
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* Execute a couple of requests with increasing ids until an error happens.
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* Implement resiliency measures to handle these kinds of failures.
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* **Success Criteria: Check the service logs to see the resiliency measures in action.**
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### Phase 5
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* Now increase the chaos outcomes rate of 503 to 95% to simulate a partial outage. What is the outcome on our endpoint?
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* Improve the error response returned by handling the downstream error accordingly.
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* **Success Criteria: Service should return the appropriate error response that warrants retrying the call from the client side.**
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### Bonus Phase 6 (discussion only)
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* The current DB schema solution has big drawbacks. What are they?
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* How would you implement schema migrations that avoid these issues?
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* What do you need to consider in the setup for proper schema migrations?
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### Bonus Phase 7 (discussion only)
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* Imagine the following deployment scenario:
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* The service is deployed to and running in the Elastic Container Service (ECS) in Amazon AWS
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* The downstream service requires authentication
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* How would you store and retrieve the required credentials?
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* What options do you see to also require authentication on our little service?
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## Troubleshooting
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### Start database manually
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Open a terminal at the repo root and execute
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```bash
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$ docker compose up -d db
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[+] Running 3/3
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✔ Network dotnet-interview-exercise_default Created 0.0s
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✔ Volume "dotnet-interview-exercise_db_data" Created 0.0s
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✔ Container dotnet-interview-exercise-db-1 Started 0.1s
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```
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### Cleanup database
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In case something went wrong, wipe and rebuild the database
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```bash
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$ docker compose down -v
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[+] Running 3/3
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✔ Container dotnet-interview-exercise-db-1 Removed. 0.2s
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✔ Network dotnet-interview-exercise_default Removed. 0.2s
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✔ Volume dotnet-interview-exercise_db_data Removed. 0.0s
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$ docker compose up -d db
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[+] Running 3/3
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✔ Network dotnet-interview-exercise_default Created 0.0s
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✔ Volume "dotnet-interview-exercise_db_data" Created 0.0s
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✔ Container dotnet-interview-exercise-db-1 Started 0.1s
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```
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