Ojasa Mirai

Ojasa Mirai

FastAPI

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Learning Level

🟢 Beginner🔵 Advanced
🚀 Request Body Basics📚 Pydantic Models📚 Nested Models📚 Field Validation📚 Multiple Bodies📚 File Uploads📚 Form Data📚 Request Examples
Fastapi/Request Bodies/File Uploads

File Uploads

Learn essential concepts of file uploads in FastAPI.

What You'll Learn

This section covers file uploads, including:

  • Handling single and multiple files
  • Using UploadFile for file handling
  • File validation and processing
  • Storing uploaded files
  • Error handling for uploads
  • Production best practices

Core Concepts

File uploads require special handling:

  • **UploadFile**: Async file handling in FastAPI
  • **File**: Alternative type with less overhead
  • **Streaming**: Handle large files efficiently
  • **Validation**: Check file types and sizes
  • **Storage**: Save files securely

Single File Upload Example

from fastapi import FastAPI, UploadFile, File

app = FastAPI()

@app.post("/uploadfile/")
async def upload_file(file: UploadFile = File(...)):
    contents = await file.read()
    filename = file.filename
    content_type = file.content_type
    return {
        "filename": filename,
        "size": len(contents),
        "content_type": content_type
    }

Multiple Files Upload Example

@app.post("/uploadfiles/")
async def upload_files(files: list[UploadFile] = File(...)):
    results = []
    for file in files:
        contents = await file.read()
        results.append({
            "filename": file.filename,
            "size": len(contents)
        })
    return results

Real-World Usage

File uploads are essential for:

  • **Image uploads**: Profile pictures, gallery images
  • **Document uploads**: PDFs, CSV for import
  • **Media processing**: Video uploads, audio files
  • **Data import**: Excel sheets, JSON datasets

🔑 Key Takeaways

  • ✅ Understand the purpose of file uploads
  • ✅ Know when to apply this pattern
  • ✅ Follow best practices consistently
  • ✅ Test thoroughly in production scenarios

Next step: Explore the advanced section for production patterns and optimization techniques.


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