I developed an API using FastAPI that accepts a Word document upload and extracts its contents, deploying it on Heroku. Below is the complete code for the API along with a client for testing it. The testing client successfully retrieves the desired output.
API Code:
import os
import uvicorn
from fastapi import FastAPI, UploadFile, File
import docx
from io import BytesIO
app = FastAPI()
@app.post("/extractdoc")
async def extractdoc(uploaded_file: UploadFile = File(...)):
document = docx.Document(BytesIO(await uploaded_file.read()))
text_content = []
for paragraph in document.paragraphs:
text_content.append(paragraph.text)
return '\n'.join(text_content)
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=int(os.environ.get("PORT", 8080)))
Test Client Code:
import requests
word_file = "path_to_your_word_file.docx"
files = {'uploaded_file': (word_file, open(word_file, 'rb'))}
res = requests.post('https://extractdoc.herokuapp.com/extractdoc', files=files)
print(res.json())
Now, I want to test the API through RapidAPI. However, I’m having difficulty linking the /extractdoc
endpoint with the uploaded file. I’ve only found options for JSON requests and form data. Is it possible to handle file uploads in this context?
To upload a file through RapidAPI to your FastAPI endpoint, follow these steps:
-
Use Form Data: RapidAPI allows file uploads via form data, which fits your current implementation.
-
Set up the Request on RapidAPI:
- Endpoint: Set the endpoint to
/extractdoc
with the method POST
.
- Form Data: Add a new form field for the file. Use the key name
uploaded_file
– matching the parameter in your FastAPI endpoint.
- File Selection: Choose the actual Word document file you want to test with.
-
Testing:
- Execute the test request. This should send the file in the form-data section of the request, similar to your current testing code.
-
Verify Responses: Check the response from your API through RapidAPI to ensure it matches expected results.
By following these steps, you can seamlessly test the file upload functionality of your FastAPI endpoint through RapidAPI, maintaining your existing handling logic for accepting file uploads.
To integrate file upload functionality in RapidAPI for your FastAPI endpoint, you need to ensure it can handle multipart form data. Here’s a detailed direction to set this up efficiently:
Configuration Steps for File Upload via RapidAPI
- Access Your API Dashboard:
- Log in to RapidAPI and navigate to your API’s dashboard.
- Select the Endpoints section.
- Create or Modify the Endpoint:
- Choose
POST
as the method for your /extractdoc
endpoint.
- Ensure the endpoint URL matches your deployment (e.g.,
https://extractdoc.herokuapp.com/extractdoc
).
- Configure Multipart Form Data:
- Select
Multipart form data
from the configuration options.
- In the parameters section, set the key as
uploaded_file
, corresponding exactly with your FastAPI function parameter.
- Use the file selection tool to choose your Word document for testing.
- Deploy and Test the Endpoint:
- Run the request from within RapidAPI’s interface to upload the file.
- Check the response from your FastAPI service to ensure it correctly extracts and returns the text content from the document.
Additional Considerations
- Double-check that your deployment on Heroku supports file operations and is configured with adequate permissions.
- Ensure your MIME types are correctly set, and consider file size limits as required.
These steps should align the file upload test on RapidAPI with your local setup, facilitating successful integration with your FastAPI service.
To test integrating file upload functionality in your API using RapidAPI, here's a streamlined approach:
Steps to Set Up File Upload via RapidAPI
- Configure Endpoint:
- Navigate to your API's Endpoints section in RapidAPI.
- Create or edit the endpoint to use
POST
for /extractdoc
.
- Set Up Multipart Form Data:
- Choose
Multipart form data
in the configuration panel.
- Add a form field with the key as
uploaded_file
.
- Ensure the key matches the parameter in your FastAPI method for smooth handling.
- Use the file picker to select your Word document for upload testing.
- Execute the Request:
- Run the test using RapidAPI's interface to send the file.
- Verify the response to ensure text extraction is working as expected.
Additional Tips:
- Make sure your FastAPI on Heroku is properly configured to accept file uploads.
- Double-check file handling permissions and file size limits as part of your deployment settings.
With these steps, you'll be able to test your API's file upload functionality efficiently on RapidAPI.
To effectively test your FastAPI file upload endpoint via RapidAPI, you can adapt the existing configuration to handle multipart form-data. Here’s a concise guide to accomplish this:
Steps to Integrate File Upload with RapidAPI
-
Configure the API on RapidAPI:
- Go to your API dashboard on RapidAPI and navigate to the
Endpoints
section.
- Add a new endpoint using the
POST
method aimed at /extractdoc
.
-
Set Up Multipart Form Data:
- Within the endpoint configuration, choose the option for
Multipart form data
instead of JSON
.
- Under the parameters section, include a key-value pair:
uploaded_file
as the key. This should align precisely with the parameter in your FastAPI method.
- Use the file picker to select the Word document you wish to upload.
-
Test the API:
- Initiate the request from within RapidAPI’s interface.
- Observe the response to confirm that your API endpoint extracts text correctly from the uploaded document.
Additional Considerations
- Ensure that your FastAPI deployment on Heroku has appropriate permissions for file handling.
- Double-check the MIME type compatibility if issues arise during file transfer.
By following these adjustments, your API should properly manage the file upload process, allowing you to maintain the same functionality as with your local tests.
To test your API on RapidAPI, configure it to handle Multipart form data
for file uploads. Here’s how:
-
Setup on RapidAPI:
- Endpoint: Use
POST
for /extractdoc
.
- Form Data: Choose
Multipart form data
.
- Parameter: Add
uploaded_file
as the key (matches your FastAPI). Upload your Word document.
-
Testing:
- Execute request on RapidAPI. It replicates your local test setup.
- Check API response for text extraction success.
Ensure your FastAPI app on Heroku allows necessary file operations. This approach maintains your file upload logic.