Fastapi: [QUESTION] Get access to fastapi app outside of a docker container

[PyDataBlog]

Description

I have successfully created a docker container for a tensorflow model deployment using fastAPI. However, after exposing the 8000 port and trying to connect to this application, I fail to make the connection.

Here's how the app looks like:

import uvicorn
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "q": q}


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

How can I connect to this application running in the container? Which url should I use since 0.0.0.0:8000 is currently not working?

Additional context
Here's the dockerfile

# Tensforlow 2 official image with Python 3.6 as base
FROM tensorflow/tensorflow:2.0.0-py3

# Make working directories
RUN  mkdir -p /home/project
WORKDIR /home/project

# Upgrade pip with no cache
RUN pip install --no-cache-dir -U pip

# Copy application requirements file to the created working directory
COPY requirements.txt .

# Install application dependencies from the requirements file
RUN pip install -r requirements.txt

# Copy every file in the source folder to the created working directory
COPY  . .

# Run the python application
CMD ["python", "app/main.py"]

Here's a screenshot of the ports but I get no luck when I launch the app with 0.0.0.0:8000 in the browser after running the container with docker run -it -p 8000:8000 myimage

[euri10]

no offense but in no way it's a FastAPI question,
that said it seems your container runs app/main.py, so either it contains a
__main__ method that runs uvicorn as described in the docs, either change
the CMD to run uvicorn.
if that's already the case I don't get it

On Fri, Oct 25, 2019 at 1:31 PM Bernard Brenyah [e-mail]
wrote:

Description

I have successfully created a docker container for a tensorflow model
deployment using fastAPI. However, after exposing the 8000 port and
trying to connect to this application, I fail to make the connection.

Here's how the app looks like:

import uvicornfrom fastapi import FastAPI

app = FastAPI()

@app.get("/")def read_root():
return {"Hello": "World"}

@app.get("/items/{item_id}")def read_item(item_id: int, q: str = None):
return {"item_id": item_id, "q": q}

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

How can I connect to this application running in the container? Which url
should I use since 0.0.0.0:8000 is currently not working?

Additional context
Here's the dockerfile

Tensforlow 2 official image with Python 3.6 as baseFROM tensorflow/tensorflow:2.0.0-py3

Make working directoriesRUN mkdir -p /home/projectWORKDIR /home/project

Upgrade pip with no cacheRUN pip install --no-cache-dir -U pip

Copy application requirements file to the created working directoryCOPY requirements.txt .

Install application dependencies from the requirements fileRUN pip install -r requirements.txt

Copy every file in the source folder to the created working directoryCOPY . .

Run the python applicationCMD ["python", "app/main.py"]

Here's a screenshot of the ports but I get no luck when I launch the app
with 0.0.0.0:8000 in the browser after running the container with docker
run -it -p 8000:8000 myimage

[image: image]
https://user-images.githubusercontent.com/29863388/67567241-d4f42280-f729-11e9-8653-54e03b766ac8.png

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[PyDataBlog]

@euri10 none taken. In any case, it was fixed by specifying the host in the uvicorn app run as suggested by this article. Issue will be closed now.

[tiangolo]

Thanks for the help here @euri10 ! :clap: :bow:

Thanks for reporting back and closing the issue @PyDataBlog :+1: