Add production deployment infrastructure

[Copilot]

Implements containerized deployment with Docker, CI/CD pipeline, and multi-platform support for the ASI Python application.

Infrastructure

• Dockerfile: Python 3.11 slim base, persistent data volume at /app/data
• docker-compose.yml: Single-service orchestration with volume mounting
• requirements.txt: numpy ≥1.21.0, requests ≥2.26.0
• deploy.sh: Interactive CLI for build/run/stop operations

CI/CD

• GitHub Actions workflow: Three-stage pipeline (test → build → deploy)
  • Validates Python syntax and imports
  • Builds and tests Docker image
  • Artifacts Docker image on main/master branches
  • Explicit permissions (contents: read) on all jobs per CodeQL

Documentation

• DEPLOYMENT.md: Cloud (AWS/GCP/Azure/DO), VPS, and local deployment paths
• QUICKSTART.md: Common commands reference
• README.md: Updated with deployment options and project structure

Configuration

• .gitignore: Excludes __pycache__, *.pkl, data/, virtual envs
• .dockerignore: Excludes .git, .github, documentation, test artifacts

Quick Start

./deploy.sh  # Interactive menu
# or
docker-compose up -d

Passes CodeQL security scan (0 alerts).

Original prompt

deploy

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Pull Request Overview

This PR implements comprehensive production deployment infrastructure for the ASI Python application, transforming it from a development-only codebase to a production-ready system with containerization, CI/CD automation, and multi-platform deployment support.

Key Changes:

• Containerization with Docker and docker-compose for consistent deployment environments
• GitHub Actions CI/CD pipeline with automated testing, building, and artifact generation
• Interactive deployment script and comprehensive documentation for various deployment scenarios

Reviewed Changes

Copilot reviewed 7 out of 9 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
requirements.txt	Defines Python dependencies (numpy ≥1.21.0, requests ≥2.26.0)
docker-compose.yml	Single-service orchestration with volume mounting and environment configuration
deploy.sh	Interactive bash script providing menu-driven deployment management
Dockerfile	Python 3.11 slim container with persistent data volume support
.github/workflows/deploy.yml	Three-stage CI/CD pipeline (test, build-docker, deploy) with artifact management
README.md	Comprehensive rewrite with deployment options, project structure, and quick start guides
DEPLOYMENT.md	Detailed deployment guide covering Docker, cloud platforms, VPS, and troubleshooting
QUICKSTART.md	Quick reference guide with common commands and deployment options
.gitignore	Standard Python, Docker, and IDE exclusions plus data persistence files

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