chore: upgrade Python version from 3.10 to 3.13 across the project

Agent-Logs-Url: https://github.com/christianlouis/dmarq/sessions/29bd6108-4094-48ca-8976-10df52774551

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>

.github/workflows/ci.yml

@@ -24,10 +24,10 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Set up Python 3.10
+      - name: Set up Python 3.13
         uses: actions/setup-python@v5
         with:
-          python-version: '3.10'
+          python-version: '3.13'
 
       - name: Cache pip packages
         uses: actions/cache@v4
@@ -72,10 +72,10 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Set up Python 3.10
+      - name: Set up Python 3.13
         uses: actions/setup-python@v5
         with:
-          python-version: '3.10'
+          python-version: '3.13'
 
       - name: Cache pip packages
         uses: actions/cache@v4
@@ -113,10 +113,10 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Set up Python 3.10
+      - name: Set up Python 3.13
         uses: actions/setup-python@v5
         with:
-          python-version: '3.10'
+          python-version: '3.13'
 
       - name: Cache pip packages
         uses: actions/cache@v4

.github/workflows/release.yml

@@ -22,7 +22,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
-          python-version: "3.12"
+          python-version: "3.13"
 
       - name: Semantic Release
         uses: python-semantic-release/python-semantic-release@v10

.readthedocs.yaml

@@ -3,7 +3,7 @@ version: 2
 build:
   os: ubuntu-22.04
   tools:
-    python: "3.9"
+    python: "3.13"
 
 mkdocs:
   configuration: mkdocs.yml

CONTRIBUTING.md

@@ -61,7 +61,7 @@ Unsure where to begin? You can start by looking through issues tagged with:
 
 ### Prerequisites
 
-- Python 3.10 or higher
+- Python 3.13 or higher
 - Docker and Docker Compose (for full stack testing)
 - Git
 

README.md

@@ -104,7 +104,7 @@ Then visit [http://localhost:8080](http://localhost:8080)
 
 - DMARC aggregate reports (XML, ZIP, or GZIP format)
 - Docker + Docker Compose (for production deployment)
-- Python 3.10+ (for development)
+- Python 3.13+ (for development)
 
 ---
 

backend/Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.10-slim
+FROM python:3.13-slim
 
 WORKDIR /app
 

docs/deployment/manual.md

@@ -6,7 +6,7 @@ This guide covers how to deploy DMARQ without Docker, using a traditional instal
 
 Before proceeding with a manual installation, ensure you have:
 
-- Python 3.9 or higher
+- Python 3.13 or higher
 - pip and virtualenv
 - Node.js 16+ (if modifying frontend assets)
 - PostgreSQL (recommended for production) or SQLite

docs/development/agents.md

@@ -64,7 +64,7 @@ Give your AI assistant context about DMARQ:
 
 ```markdown
 DMARQ is a self-hosted DMARC monitoring platform built with:
-- Backend: FastAPI (Python 3.10+)
+- Backend: FastAPI (Python 3.13+)
 - Database: SQLAlchemy ORM (PostgreSQL/SQLite)
 - Templates: Jinja2 with Tailwind CSS
 - Architecture: RESTful API with server-side rendering

docs/development/contributing.md

@@ -20,7 +20,7 @@ There are many ways to contribute to DMARQ:
 
 ### Prerequisites
 
-- Python 3.9+
+- Python 3.13+
 - Node.js 16+ (for frontend assets)
 - Docker and Docker Compose (recommended)
 - Git

docs/development/testing.md

@@ -27,7 +27,7 @@ backend/app/tests/
 
 ### Prerequisites
 
-- Python 3.10+
+- Python 3.13+
 - Dependencies from `backend/requirements.txt`
 
 ### Installation
@@ -143,7 +143,7 @@ isort backend/app
 Tests run automatically on every push and PR via GitHub Actions (`.github/workflows/test.yml`).
 
 The CI workflow:
-1. Installs dependencies (Python 3.10)
+1. Installs dependencies (Python 3.13)
 2. Runs `pytest` with coverage
 3. Runs linting checks (Black, isort, Flake8, Pylint)
 4. Uploads coverage to Codecov

docs/faq.md

@@ -31,7 +31,7 @@ The minimum requirements are:
 - 2GB RAM (4GB+ recommended for production)
 - 20GB storage
 - Docker Engine 20.10.0+ (for Docker installation)
-- Python 3.9+ (for manual installation)
+- Python 3.13+ (for manual installation)
 
 ### How do I install DMARQ?
 

docs/reference/architecture.md

@@ -23,7 +23,7 @@ The core of DMARQ is a FastAPI application that provides:
 - Background task processing
 
 **Key Technologies:**
-- Python 3.9+
+- Python 3.13+
 - FastAPI framework
 - Pydantic for data validation
 - SQLAlchemy ORM for database access

docs/user_guide/deployment_guide.md

@@ -99,7 +99,7 @@ For environments where Docker isn't available, you can install DMARQ manually.
 
 ### Prerequisites
 
-- Python 3.9 or higher
+- Python 3.13 or higher
 - pip and virtualenv
 - Node.js 16+ (if modifying frontend assets)
 

pyproject.toml

@@ -4,7 +4,7 @@ version = "1.6.0"
 description = "A modern, privacy-conscious DMARC monitoring and analysis platform"
 readme = "README.md"
 license = {text = "MIT"}
-requires-python = ">=3.10"
+requires-python = ">=3.13"
 
 [tool.semantic_release]
 version_toml = ["pyproject.toml:project.version"]
@@ -22,7 +22,7 @@ match = "main"
 
 [tool.black]
 line-length = 100
-target-version = ['py310']
+target-version = ['py313']
 include = '\.pyi?$'
 extend-exclude = '''
 /(
@@ -99,7 +99,7 @@ show_missing = true
 skip_covered = false
 
 [tool.mypy]
-python_version = "3.10"
+python_version = "3.13"
 warn_return_any = true
 warn_unused_configs = true
 disallow_untyped_defs = false