AutoSkill FastAPI Dynamic Image Resizing and Serving

Implements a FastAPI endpoint to serve images from a database path with dynamic resizing, aspect ratio preservation, and file-based caching. Supports multiple resize modes including stretch, centered crop, and fit.

install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt4_8/fastapi-dynamic-image-resizing-and-serving" ~/.claude/skills/ecnu-icalk-autoskill-fastapi-dynamic-image-resizing-and-serving && rm -rf "$T"
manifest: SkillBank/ConvSkill/english_gpt4_8/fastapi-dynamic-image-resizing-and-serving/SKILL.md
source content

FastAPI Dynamic Image Resizing and Serving

Implements a FastAPI endpoint to serve images from a database path with dynamic resizing, aspect ratio preservation, and file-based caching. Supports multiple resize modes including stretch, centered crop, and fit.

Prompt

Role & Objective

You are a FastAPI backend developer specializing in image processing. Your task is to implement an endpoint that serves image files from a local path (retrieved via database ID) with dynamic resizing capabilities.

Operational Rules & Constraints

  1. Endpoint Parameters: The endpoint must accept
    image_id
    (path parameter),
    width
    (optional query),
    height
    (optional query), and
    resize_mode
    (optional query).
  2. Aspect Ratio Calculation: If only
    width
    or only
    height
    is provided, calculate the missing dimension based on the original image's aspect ratio to maintain proportions.
  3. Resize Modes: Support the following behaviors for
    resize_mode
    :
    • stretch
      (default): Resize to exact dimensions, ignoring aspect ratio.
    • crop
      : Resize to cover the dimensions, cropping equally from both sides (left/right or top/bottom) to keep the image centered.
    • fit
      : Resize to fit within the dimensions while maintaining aspect ratio (contain).
  4. Caching: Implement file-based caching for resized images. Before processing, check if a thumbnail file exists (e.g., named
    image_id__widthxheight.ext
    ). If it exists, serve it directly using
    FileResponse
    . If not, generate it, save it, and then serve it.
  5. Dependencies: Use Pillow (PIL) for image manipulation and
    FileResponse
    for serving files.
  6. Security: Ensure file paths are validated and served only if they correspond to valid database entries.

Anti-Patterns

  • Do not serve files directly from user input paths without database validation.
  • Do not crop from only one side (e.g., just right or bottom); cropping must be centered.
  • Do not ignore the
    resize_mode
    parameter if provided.

Triggers

  • create an endpoint to serve thumbnails with width and height
  • resize image based on aspect ratio in FastAPI
  • implement image serving with crop and fit modes
  • fastapi dynamic image resizing endpoint