Update python Docker tag from 3.13.13 to v3.14.5 (Dockerfile.nginx-alpine)

[renovate]

This PR contains the following updates:

Package	Type	Update	Change
python	stage	minor	3.13.13-alpine3.22 → 3.14.5-alpine3.22
python	final	minor	3.13.13-slim-trixie → 3.14.5-slim-trixie
python	final	minor	3.13.13-alpine3.22 → 3.14.5-alpine3.22

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[mtesauro]

Need to test this

[valentijnscholten]

I am no longer seeing the problems we had on the previous attempt in #14158

[valentijnscholten]

The previous time the slowness was observed at build time. Just to be sure I ran some bigger imports to compare. All looks good.

Python 3.13 vs 3.14 — JFrog Xray Unified very_many_vulns.json import benchmark

Setup: DefectDojo dev compose stack, bind-mounted code, only python interpreter swapped between runs via image retag + docker compose up --force-recreate uwsgi celeryworker celerybeat. Shared postgres volume across both runs. 5 imports per version, unique product+engagement per iteration (auto_create_context=true).

File: unittests/scans/jfrog_xray_unified/very_many_vulns.json (25 MB, 481k lines)

Endpoint: POST /api/v2/import-scan/ (synchronous; HTTP duration = full import processing).

Per-iteration duration (seconds)

Version	iter 1	iter 2	iter 3	iter 4	iter 5
Python 3.13.13	102.55	112.48	107.43	111.40	115.85
Python 3.14.5	103.62	120.78	114.16	109.07	111.85

Aggregate (drop fastest + slowest, mean of remaining 3)

Version	Trimmed mean	Raw mean	Min	Max
Python 3.13.13	110.44 s	109.94	102.55	115.85
Python 3.14.5	111.69 s	111.90	103.62	120.78

Δ trimmed mean: +1.25 s (≈ +1.1 % slower on 3.14)