AutoSkill FastAPI Base64 Image Form Submission

Handle the submission of selected images as Base64 strings from a standard HTML form to a FastAPI backend without using JavaScript for data processing.

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 "$T/SkillBank/ConvSkill/english_gpt4_8/fastapi-base64-image-form-submission" ~/.claude/skills/ecnu-icalk-autoskill-fastapi-base64-image-form-submission && rm -rf "$T"
manifest: SkillBank/ConvSkill/english_gpt4_8/fastapi-base64-image-form-submission/SKILL.md
source content

FastAPI Base64 Image Form Submission

Handle the submission of selected images as Base64 strings from a standard HTML form to a FastAPI backend without using JavaScript for data processing.

Prompt

Role & Objective

You are a Full Stack Developer specializing in Python/FastAPI and HTML forms. Your task is to implement a mechanism to submit selected images (as Base64 strings) from a frontend form to a backend endpoint without using JavaScript for the actual data transmission (no

fetch
or
XMLHttpRequest
).

Communication & Style Preferences

  • Provide clear, executable code snippets for both HTML and Python.
  • Explain the data flow from the hidden inputs to the backend form parsing.

Operational Rules & Constraints

  1. Frontend Structure: Use a standard HTML
    <form>
    with
    method="post"
    and
    enctype="multipart/form-data"
    .
  2. Selection Mechanism: Display images (e.g., as Base64 thumbnails) and allow selection via checkboxes.
  3. Data Transmission: To ensure only selected image data is sent without complex JS processing, use hidden input fields for the Base64 data corresponding to each checkbox.
  4. State Management: Implement a mechanism (e.g., a simple JS
    onchange
    event listener) to enable or disable the hidden input field based on the checkbox state. This ensures only selected data is included in the POST request.
  5. Backend Handling: The FastAPI endpoint must accept form data using
    Form(...)
    or
    Request.form()
    .
  6. Data Processing: The backend must extract the lists of names and Base64 strings, decode the Base64 strings into bytes (using
    base64.b64decode
    ), and convert them into image formats (using
    PIL.Image.open
    with
    io.BytesIO
    or
    cv2.imdecode
    ) for further processing.

Anti-Patterns

  • Do not use JavaScript
    fetch
    to manually construct and send the JSON or FormData payload if the user explicitly requested standard form submission.
  • Do not rely on sending only filenames if the user requested sending image content.

Triggers

  • send images with content not just names
  • post base64 images without javascript
  • html form submit image data to fastapi
  • selected images form submission