fix(deps): update monthly dependencies (#172)

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>

Author: renovate[bot]

.python-version

@@ -1 +1 @@
-3.12.10
+3.14.7

Dockerfile

@@ -1,6 +1,6 @@
 # Runtime needs no ML framework, so the base image only has to carry numpy and
 # the web stack. Kept at 3.12 to match render.yaml / runtime.txt.
-FROM python:3.12-slim
+FROM python:3.14-slim
 WORKDIR /app
 
 # Install system deps. No compiler is needed: the pip install below is

docker-compose.yml

@@ -15,7 +15,7 @@ services:
     restart: unless-stopped
 
   redis:
-    image: redis:8.8-alpine
+    image: redis:8.10-alpine
     ports:
       - "127.0.0.1:6379:6379"
     restart: unless-stopped

pyproject.toml

@@ -5,13 +5,13 @@ description = "Neural network LeetCode contest rating predictor (FastAPI + Tenso
 requires-python = ">=3.12"
 license = "MIT"
 dependencies = [
-    "fastapi==0.141.1",
-    "pydantic==2.13.4",
-    "numpy==2.5.2",
+    "fastapi==0.142.2",
+    "pydantic==2.13.5",
+    "numpy==2.5.3",
     "requests==2.34.2",
-    "uvicorn[standard]==0.52.1",
+    "uvicorn[standard]==0.54.0",
     "httpx==0.28.1",
-    "tqdm==4.70.0",
+    "tqdm==4.70.1",
     "redis==8.1.0",
 ]
 
@@ -26,18 +26,18 @@ dev = [
 ml = [
     "tensorflow==2.21.0",
     "keras==3.15.1",
-    "scikit-learn==1.9.0",
-    "joblib==1.5.3",
+    "scikit-learn==1.9.1",
+    "joblib==1.6.0",
 ]
 
 # Mirrors requirements-dev.txt. uv sync installs this group by default, so CI
 # can provision lint and test tooling straight from uv.lock.
 [dependency-groups]
 dev = [
     "black==26.5.1",
-    "ruff==0.16.2",
+    "ruff==0.16.10",
     "isort==8.0.1",
-    "pre-commit==4.6.1",
+    "pre-commit==4.6.2",
     "pytest==9.1.1",
     "pytest-asyncio==1.4.0",
 ]

requirements-dev.txt

@@ -1,7 +1,7 @@
 # Dev tools for linting, formatting and testing
 black==26.5.1
-ruff==0.16.2
+ruff==0.16.10
 isort==8.0.1
-pre-commit==4.6.1
+pre-commit==4.6.2
 pytest==9.1.1
 pytest-asyncio==1.4.0

requirements-ml.txt

@@ -3,5 +3,5 @@
 # requirements-ml.lock.txt is the generated, hash-pinned equivalent.
 tensorflow==2.21.0
 keras==3.15.1
-scikit-learn==1.9.0
-joblib==1.5.3
+scikit-learn==1.9.1
+joblib==1.6.0

requirements.lock.txt

@@ -4,11 +4,11 @@
 # No ML framework here on purpose: inference runs on numpy against the exported
 # artifacts in models/. TensorFlow, Keras, scikit-learn and joblib are only
 # needed to train and export, and live in requirements-ml.txt.
-fastapi==0.141.1
-pydantic==2.13.4
-numpy==2.5.2
+fastapi==0.142.2
+pydantic==2.13.5
+numpy==2.5.3
 requests==2.34.2
-uvicorn[standard]==0.52.1
+uvicorn[standard]==0.54.0
 httpx==0.28.1
-tqdm==4.70.0
+tqdm==4.70.1
 redis==8.1.0