add system test

[aleeusgr]

a system test is the evidence of application functionality as a whole.

[aleeusgr]

alts

https://www.youtube.com/@JeremyChone/playlists

• [ ] https://youtu.be/XZtlD_m59sM?si=JVSq9vIIipJdSaQX
• [ ] https://youtu.be/3cA_mk4vdWY?si=NmqQBPsNJZlhJdQx
• [ ] https://www.youtube.com/watch?v=q53xalVoc6w
• [x] https://users.rust-lang.org/t/streaming-from-an-ip-network-camera-in-rust/30462
• [x] https://medium.com/@zacchaeusoluwole/build-a-real-time-webcam-streaming-server-in-rust-with-opencv-65b4d57cd22f

[aleeusgr]

• [x] https://users.rust-lang.org/t/streaming-from-an-ip-network-camera-in-rust/30462
• [x] https://medium.com/@zacchaeusoluwole/build-a-real-time-webcam-streaming-server-in-rust-with-opencv-65b4d57cd22f

[aleeusgr]

create a server that does X and streams them over HTTP in real-time to connected clients. https://github.com/aleeusgr/efected-coto-emmory/blob/4b1bfa6bd827e974333a93b02a375ad9cee40589/src/main.rs#L141-L144 Router is the type for composing handlers and services. https://github.com/aleeusgr/efected-coto-emmory/blob/d61aee230886260c02deb0ca3f89a91745447b16/src/main.rs#L86-L89 Handlers are where your application logic lives and axum applications are built by routing between handlers. https://github.com/aleeusgr/efected-coto-emmory/blob/d61aee230886260c02deb0ca3f89a91745447b16/src/main.rs#L116 A handler is an async function that accepts zero or more “extractors” as arguments and returns something that can be converted into a response. https://github.com/aleeusgr/efected-coto-emmory/blob/d61aee230886260c02deb0ca3f89a91745447b16/src/handlers/my.rs#L10-L19

An extractor is a type that implements FromRequest or FromRequestParts.

Details

- [x] ~~Quick example of axum + async-stream~~ no readme, testing unclear https://github.com/fasterthanlime/stream-example/blob/main/src/main.rs - [x] axum server that serves a live stream of its own tracing log to an HTML page https://github.com/thallada/axum-log-stream/blob/main/src/main.rs - [x] [stream an image](https://imfeld.dev/writing/process_streaming_uploads_with_axum) - [x] https://github.com/aleeusgr/efected-coto-emmory/pull/33/commits/8559281eccc962c198f7cd4232211be60f8b0338 - [ ] add Camera Management Module

Details

- [x] 2. Binding TCP Listener: - [ ] 3. Initializing Camera : - [x] 4. Main Loop: The above code enters a main loop, where it continuously listens for incoming client connections and serves them with live video frames. - [x] 5. Accepting Client Connection server waits for a client to connect using the `listener.accept()` function. Once a connection is established, it returns a TCP stream (stream) that will be used to communicate with the client. - [ ] 6. Capturing and Encoding Frame - [x] 7. Creating Response Header - [x] 8. Sending Response Header The response header is written to the client’s stream using the `stream.write_all` function. - [ ] 9. Inner Loop for Streaming Frames: - [ ] capture a frame, - [ ] 10. Encoding and Sending Frames: the server again captures a frame, encodes it, and stores the encoded data in the buf vector. It then constructs an HTTP response with appropriate content type and content length headers for the image. - [x] 11. Flushing Stream: After sending the image data, the server flushes the stream using stream.flush() to ensure that the data is sent immediately to the client. - [ ] 12. Run: Enter “cargo run”

https://dev.to/dalalrohit/live-stream-your-webcam-to-html-page-3ehf https://docs.rs/nokhwa/latest/nokhwa/ https://crates.io/keywords/webcam https://www.reddit.com/r/rust/comments/3eab0m/how_do_i_capture_a_webcam_feed/

[aleeusgr]

continuously poll the data source to create a stream of data over the command line. Once you’ve set up that functionality, you’ll integrate new CLI into your company’s wider intelligence gathering system, which requires exposing an HTTP endpoint that provides the most recent performance indicators.

https://www.manning.com/liveproject/advanced-data-streaming-with-async-rust

[aleeusgr]

36

[aleeusgr]

https://github.com/tokio-rs/axum/blob/main/ECOSYSTEM.md#community-maintained-axum-ecosystem

[aleeusgr]

To implement the video streaming server using Rust and Axum, you would follow these general steps:

• [x] Create a new Rust project using Cargo (the Rust package manager).
• [x] Add dependencies for Axum and any other required libraries such as tokio (for async I/O) or tower-http (for middleware support).
• [x] Set up the main function, which initializes the server and starts listening on a specified port.
• [ ] Define routes for your video streaming service using Axum's routing functions. These may include endpoints for listing available videos, playing specific videos, or managing user accounts (if authentication is required).
• [x] Implement handlers for each route that perform the necessary operations to serve the requested content. For example, a handler might read video data from a file system or database and stream it directly to the client using Axum's built-in support for streaming responses.
• [ ] Add any desired middleware components (such as authentication, rate limiting, or logging) to enhance your server's functionality and security.
• [ ] Test and optimize your video streaming server by running it locally and checking its performance under various load conditions using tools like wrk or Siege. Make necessary adjustments based on the results to ensure optimal throughput and low latency for all users.
• [ ] Deploy your Rust-Axum video streaming server to a production environment, such as AWS or Google Cloud Platform, by following best practices for containerization (e.g., Docker) and configuration management tools like Ansible or Terraform.