Coding Guru
Home

Pyinstall打包脚uvicorn.run找不到model

6 min read Sep 30, 2024
Pyinstall打包脚uvicorn.run找不到model

How to Package a Uvicorn App with PyInstaller and Resolve the "uvicorn.run" Error

Have you ever encountered the dreaded "uvicorn.run not found" error when trying to package your Uvicorn application with PyInstaller? This issue commonly arises when your application relies on a model, such as a machine learning model, that PyInstaller cannot find during packaging. This article will guide you through the process of resolving this error and creating a self-contained executable for your Uvicorn app.

Understanding the "uvicorn.run not found" Error

When using PyInstaller to package your Uvicorn application, the error "uvicorn.run not found" signifies that PyInstaller is unable to locate the uvicorn.run function within your packaged executable. This typically occurs because PyInstaller doesn't correctly understand the dependency structure of your application, specifically when it comes to your model files.

The Cause: Missing Model Dependency

The most likely reason for this error is that your Uvicorn application uses a model (such as a machine learning model) that is not included in the PyInstaller bundle. PyInstaller, by default, doesn't recognize these external files as dependencies and fails to package them.

Troubleshooting Steps

Here's a step-by-step guide to address this error:

  1. Identify the Model File:

    • Determine the exact path and filename of your model file. For instance, it could be model.pkl, model.h5, or my_model.json, depending on your chosen framework.

  2. Ensure the Model is Accessible:

    • Verify that the model file is located within the same directory as your main Uvicorn application file.
    • If the model is in a separate directory, you'll need to make adjustments within your code to locate it properly.

  3. Modify Your setup.py File:

    • Use the hiddenimports option in your setup.py file to specify your model file as a dependency.
    • This instructs PyInstaller to include the model file in the packaged executable.

  4. Package with PyInstaller:

    • Run the PyInstaller command, incorporating the hiddenimports parameter:
    pyinstaller --hidden-import=path/to/model.pkl your_uvicorn_app.py
    • Replace path/to/model.pkl with the actual path to your model file and your_uvicorn_app.py with the name of your Uvicorn application file.

Example: Using a Pre-trained Machine Learning Model

Let's consider a scenario where you're using a pre-trained machine learning model, my_model.h5, for predictions within your Uvicorn application:

1. Project Structure:

my_uvicorn_app/
├── app.py
├── my_model.h5
└── requirements.txt

2. setup.py File:

from setuptools import setup, find_packages

setup(
    name='my_uvicorn_app',
    version='1.0.0',
    packages=find_packages(),
    install_requires=[
        'uvicorn',
        # Other dependencies...
    ],
    hiddenimports=[
        'my_uvicorn_app.my_model.h5' # Include the model as a hidden import
    ],
    entry_points={
        'console_scripts': [
            'run = my_uvicorn_app.app:main'
        ]
    }
)

3. app.py (Uvicorn Application File):

from fastapi import FastAPI
from fastapi.responses import JSONResponse

app = FastAPI()

@app.get("/")
async def root():
    # Load the model
    from tensorflow.keras.models import load_model
    model = load_model("my_model.h5")

    # Perform prediction using the model
    # ...

    return JSONResponse(
        {
            "message": "Prediction result from my_model.h5"
        }
    )

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)

4. Packaging with PyInstaller:

pyinstaller --hidden-import=my_uvicorn_app.my_model.h5 my_uvicorn_app/app.py

5. Running the Packaged Application: After successful packaging, you'll find an executable within the dist folder. Run this executable to launch your Uvicorn application.

Important Considerations:

  • Relative Paths: Always use relative paths in your code when referring to the model file. This ensures that the packaged executable can locate the model correctly, regardless of its location.
  • Dependency Management: Ensure that all dependencies, including libraries used by your model, are listed in your requirements.txt file.
  • Additional Dependencies: If your model relies on additional Python modules, add them to the hiddenimports list.

Conclusion:

By carefully specifying your model file as a hiddenimport and correctly managing dependencies, you can resolve the "uvicorn.run not found" error and package your Uvicorn application with PyInstaller for seamless distribution. This allows you to share your application with others without requiring them to install additional dependencies or manage complex project structures.

Latest Posts

Featured Posts