raunaqbhirangi/reskin_sensor

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Below is a step‑by‑step guide for drawing a detailed system design diagram for the Reskin Sensor Library project. We’ll break the system into its core components, show how they interact, and call out the key technologies and patterns you’ll want to capture.

1. Identify the project type and purpose

• Type: A hardware‑interface Python library with accompanying Arduino firmware, example apps, mechanical designs, and tests.

• Purpose: Provide blocking and non‑blocking APIs to stream data from a ReSkin sensor (MLX90393 on a 5X breakout board) via a microcontroller over USB/serial into Python, plus visualization and test harnesses.

2. Top‑level file structure and architectural hints

• arduino/

– Contains two .ino sketches for blocking vs burst streaming, plus a submodule for MLX90393 driver code.

• reskin_sensor/

– Python package with sensor.py (ReSkinBase blocking API) and sensor_proc.py (ReSkinProcess non‑blocking API).

• visualizations/

– Example applications: heatmap.py, pygame_demo.py.

• tests/

– Unit tests for both APIs.

• circuits/, parts/

– Mechanical design assets and BOM for the breakout board fixture.

• setup.py, pyproject.toml

– Packaging and dependency declarations.

3. Key components to depict

A. Hardware Layer

– ReSkin 5X sensor board + MLX90393 magnetometer

– Microcontroller (Adafruit Trinket M0 or QT PY) running Arduino firmware

B. Transport Layer

– USB ↔ Serial interface (tty port)

C. Firmware Layer

– Arduino sketches in arduino/ folder

– MLX90393 driver code (git submodule)

D. Host Library Layer

– Python package reskin_sensor

* ReSkinBase: synchronous/blocking data collection

* ReSkinProcess: asynchronous background collection (spawned thread or subprocess, ring buffer)

– Dependencies: pyserial, numpy, etc.

E. Application/Visualization Layer

– visualizations/heatmap.py

– visualizations/pygame_demo.py

F. Testing & CI

– tests/ folder invoking both APIs against a mocked or live sensor

G. Packaging/Deployment

– setup.py and pyproject.toml for pip install, editable installs

H. Mechanical & Circuit Assets

– circuits/ BOM, Gerbers, board design

– parts/ STL files for 3D‑printing holders

4. Relationships and data flows

• Hardware → Firmware: sensor data read over I2C (MLX90393 → microcontroller).

• Firmware → Host: data streamed over USB/Serial.

• Host → Python API: sensor.py reads serial port (blocking) or sensor_proc.py spawns background thread, buffers data.

• Python API → Application: clients pull or consume data via callback or queue.

• Application → Visualization: data passed into plotting or GUI loops.

• Tests → Python API: exercise both APIs end‑to‑end or via a mock serial port.

• Packaging metadata feeds into pip registry.

5. Architectural patterns & principles

• Layered architecture: Hardware → Firmware → Transport → Library → Application

• Separation of concerns: blocking vs non‑blocking APIs isolated in separate classes/modules

• Extensibility: clear submodule boundary for sensor driver, room to add new sensor types or microcontrollers

• Packaging: standard Python packaging (PEP 517/518 via pyproject.toml) for easy distribution

• Testability: unit tests decoupled from hardware via mocks or CI‑gateways

6. Diagram‐drawing guidelines

• Main blocks: draw each of the layers (Hardware, Firmware, Transport, Library, Application, Tests, Packaging, Mechanical Assets) as swimlanes or stacked layers.

• Connectivity arrows:

– Solid arrows for “data flow” (e.g., sensor → microcontroller → PC).

– Dashed arrows for “control flow” or “package dependency” (e.g., setup.py → pip install).

• Shapes & color coding:

– Hardware pieces (circuit boards, sensors) in green cylinders or icon shapes.

– Firmware and code modules in blue rectangles.

– Python processes (blocking vs background) in distinct colored boxes.

– Visualization and test apps in orange.

• Labels: clearly annotate each arrow with protocol or API name (e.g., “I2C”, “Serial/USB”, “pyserial.read()”, “buffer.enqueue()”).

• Legend: a small key explaining colors/shapes for quick reference.

7. Tailoring to this project

• Emphasize the hardware‑firmware boundary (arduino sketches + MLX90393 driver submodule).

• For the Python layer, show two parallel paths (blocking ReSkinBase vs asynchronous ReSkinProcess).

• Capture how visualization scripts subscribe to streamed data.

• Include the mechanical design artifacts to show the end‑to‑end reproducibility (circuits + 3D parts).

8. Final checklist before you draw

[ ] All major components (HW, FW, transport, API, apps, tests, packaging, mechanical) are present

[ ] Directional arrows depict exact data/protocol flows

[ ] Color‐coded shapes distinguish layers and component types

[ ] Clear labels on components and arrows

[ ] Legend explaining colors, shapes, and line styles

By following these steps, you’ll produce a comprehensive, accurate system design diagram that reflects every essential piece of the Reskin Sensor project—from the MLX90393 breakout board on up to the Python API, visualizations, and packaging.