Sketches of backends written in Python

Sketch a: Using FastAPI to: Serve directory for static files.
Sketch b: Using FastAPI to: Call external program in own process (synchronously).
Sketch c: Using FastAPI to: Trigger external program as own process asynchronously (but do not capture anything from it).
Sketch d: Using FastAPI to: Trigger external program in own process, do something in parallel, then wait for completion and capture output.
Sketch e: Using FastAPI to: Communicate with frontend via REST, front- and backend use json, backend uses pydantic dataclasses to define protocol.
Sketch f: Using gRPC: Receive text message and respond with text message.
Sketch g: Serve glTF files. Use Node.js
Sketch i: TODO Using gRPC: Receive json message, interpret the message and respond with json message.
Sketch i: TODO Using gRPC: Receive json message, interpret the message, call external program to calculate response and send response as a json message.
Sketch i: POSTPONED Using FastAPI to: Communicate with frontend via websocket synchronously
Sketch i: POSTPONED Using FastAPI to: Communicate with frontend via websocket synchronously but do not block server (use async capabilities of FastAPI)
Sketch i:

Examine a sketch

First stablish prerequisites

pip install pipx
pipx ensurepath
pipx install poetry

Consult the sketch's sketch-?/README.md.

Following command executed in the repository's root folder removes all virtual environments.

find . \( -name 'poetry.lock' -o -name '.venv' \) -exec rm -rf {} +

Here in this global README.md, in the upper list append the sketch.

Add boilerplate for a new sketch cd into repository root and run

pipx install cookiecutter
cookiecutter add-sketch

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