How We Built a Weather-Aware Daily Recipe Pipeline With FastAPI

Описание и применение

Создана модульная конвейерная система для ежедневных AI‑рецептов, включающая валидацию, устойчивое управление браузером и статическую генерацию страниц.

Задача

Automating daily AI-assisted recipe generation while handling failures, validation, and optional promotion steps.

Результат

A resilient, modular pipeline that stops on malformed recipes, gracefully handles optional steps, and maintains reliable logs and static output.

Рабочий процесс

• Gather date and location
• Fetch weather context
• Retrieve recent recipe context
• Generate structured recipe via AI
• Validate and normalize recipe data
• Generate recipe image
• Build static site pages
• Optionally promote to social platforms

Доказательства

Model output is untrusted input. The pipeline parses it into a Pydantic model before it reaches templates or storage

Источник

Our browser manager now follows a simple lifecycle: Connect, launch fresh, run action, close resources

Источник