Nate 0096f84ee9 Config for the new toolset (#6259)		4 år sedan
..
templates	e62a8f5826 Add Quart (#4490)	6 år sedan
README.md	e62a8f5826 Add Quart (#4490)	6 år sedan
app.py	913e2b8444 Select id and randomnumber to match rules requirements (#6072)	4 år sedan
benchmark_config.json	e62a8f5826 Add Quart (#4490)	6 år sedan
config.toml	0096f84ee9 Config for the new toolset (#6259)	4 år sedan
gunicorn_conf.py	e62a8f5826 Add Quart (#4490)	6 år sedan
hypercorn_conf.py	e62a8f5826 Add Quart (#4490)	6 år sedan
quart-uvicorn.dockerfile	0096f84ee9 Config for the new toolset (#6259)	4 år sedan
quart.dockerfile	0096f84ee9 Config for the new toolset (#6259)	4 år sedan
requirements-uvicorn.txt	1426bba6b6 Update Python - Quart framework (#5527)	5 år sedan
requirements.txt	1426bba6b6 Update Python - Quart framework (#5527)	5 år sedan

Quart Benchmarking Test

This benchmark uses Quart with the default Hypercorn server, and asyncpg for database connectivity (because there is still no good asyncio ORM, sadly).

All code is contained in app.py, and should be fairly self-documenting.

Test URLs

JSON

http://localhost:8080/json

PLAINTEXT

http://localhost:8080/plaintext

DB

http://localhost:8080/db

QUERY

http://localhost:8080/query?queries=

UPDATE

http://localhost:8080/update?queries=

FORTUNES

http://localhost:8080/fortunes