litestar-file-uploads（litestar 文件上传）

File Uploads

Execution Workflow

1. Decide whether the endpoint truly needs multipart file transport.
2. Choose the input shape: single UploadFile, typed multipart model, dict[str, UploadFile], or list[UploadFile].
3. Declare multipart explicitly with Body(media_type=RequestEncodingType.MULTI_PART).
4. Validate filename, content type, size expectations, and field layout before expensive processing.
5. Stream or hand off large files to storage/services without unbounded memory use.
6. Keep upload parsing and validation at the transport edge; move persistence and scanning into services.

Core Rules

• Treat every uploaded file as untrusted input.
• Type uploads explicitly with UploadFile or multipart container models.
• Prefer typed multipart models when field names and structure are known.
• Use dict[str, UploadFile] or list[UploadFile] only when the field layout is dynamic or intentionally loose.
• Keep request size limits explicit with request_max_body_size when defaults are not sufficient.
• Avoid reading whole files into memory unless the endpoint contract is small and bounded.
• Keep upload endpoints aligned with litestar-requests for broader request-parsing concerns.

Decision Guide

• Use a single UploadFile when one file is the entire body contract.
• Use a typed dataclass or model when multipart mixes files and ordinary fields.
• Use dict[str, UploadFile] when filenames/field names are dynamic and validation is minimal.
• Use list[UploadFile] when the files are homogeneous and field names do not matter.
• Use async file reads in async handlers and direct data.file.read() in sync handlers.
• Lower request_max_body_size for sensitive upload endpoints unless a larger bound is justified.

Reference Files

Read only the sections you need:

• For single-file uploads, typed multipart models, multi-file forms, and async vs sync upload handling, read references/upload-patterns.md.
• For request body limits, UploadFile internals, safe processing guidance, and test patterns, read references/limits-and-testing.md.

Recommended Defaults

• Prefer multipart models when the field layout is fixed.
• Keep upload endpoints narrow and purpose-built.
• Validate metadata before scanning, persisting, or transforming the file.
• Leave the global body-size limit in place unless a route has a documented reason to override it.
• Return only minimal safe metadata to clients after upload.

Anti-Patterns

• Using multipart uploads when plain JSON or form data would do.
• Accepting unbounded file bodies without a front-door size limit.
• Reading large files fully into memory by default.
• Returning internal temp-file paths or unsafe metadata to clients.
• Mixing storage, scanning, and persistence logic directly into the route handler.
• Treating dict[str, UploadFile] as the default when the form shape is actually known.

Validation Checklist

• Confirm multipart media type is declared explicitly.
• Confirm the chosen upload shape matches the real form contract.
• Confirm body-size limits are appropriate for the endpoint.
• Confirm async vs sync file access matches the handler style.
• Confirm large uploads do not exhaust memory unexpectedly.
• Confirm invalid or unexpected files fail with deterministic client errors.
• Confirm upload metadata returned to clients is minimal and safe.

Cross-Skill Handoffs

• Use litestar-requests for non-file request parsing and mixed request contract design.
• Use litestar-responses for download and file-serving behavior after upload.
• Use litestar-testing for multipart and size-limit regression coverage.
• Use litestar-security when upload endpoints need auth, secret transport, or strict policy enforcement.

Litestar References

• https://docs.litestar.dev/latest/usage/requests.html#file-uploads
• https://docs.litestar.dev/latest/usage/requests.html