Upgrade mlflow to 3.12.0#160
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Bump the mlflow[auth] pin, the Dockerfile.mlflow base image, and its pip install to 3.12.0, and regenerate uv.lock (adds prettytable and skops, moves starlette to 0.52.1). Raise the Dependabot mlflow ignore floor from >= 3.8 to >= 3.13 to stay on the pre-RBAC side of MLflow; 3.13 overhauls auth into a new RBAC model, so hold there until that upgrade is deliberately planned.
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Bumps the MLflow client and tracking-server image from 3.7.0 to 3.12.0, keeping the
client pin, the server base image, and the lockfile coordinated. 3.12.0 is the last
release before the 3.13.0 RBAC overhaul, so this picks up several minor releases of
fixes without taking on the server-side permission-model migration that 3.13 requires.
Changes:
pyproject.toml,Dockerfile.mlflow(base image +pip install), anduv.lockall move to 3.12.0 together (these pins must move in lockstep - see the comment in
pyproject.toml)..github/dependabot.yml: tightened the mlflow ignore rule from>= 3.8to>= 3.13so Dependabot can now propose 3.12.x patch bumps but still holds back the breaking
3.13 RBAC release.
uv.lockregenerated for 3.12.0's transitive deps: addsprettytableandskops,and pins
starlettedown from 1.3.1 to 0.52.1. No first-party code changes needed.Testing (local, full CI parity):
scripts/check_mlflow_versions.sh+uv lock --checkpass, andpytestis green(35 passed) against a fresh Postgres-backed 3.12 server.
flightpaths/notebooks execute successfully.Notes:
change is authorization-only and would be a separate server-side task.
revisit the NaN/inf metric workaround in
src/modelplane/runways/scorer.py(upstream MLflow issue #16555, fixed server-side in 3.2.0+).