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FastAPIframework~10 mins

Docker containerization in FastAPI - Step-by-Step Execution

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Concept Flow - Docker containerization
Write FastAPI app code
Create Dockerfile
Build Docker image
Run Docker container
App runs inside container
Access app via browser or API client
This flow shows how you write a FastAPI app, create a Dockerfile, build an image, run a container, and then access the app.
Execution Sample
FastAPI
FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt ./
RUN pip install -r requirements.txt
COPY . .
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80"]
This Dockerfile sets up a FastAPI app environment, installs dependencies, copies code, and runs the app with Uvicorn.
Execution Table
StepActionDetailsResult
1Read DockerfileStart parsing Dockerfile instructionsReady to build image
2FROM python:3.12-slimBase image with Python 3.12Base image pulled or cached
3WORKDIR /appSet working directory inside containerWorking directory set to /app
4COPY requirements.txt ./Copy requirements file to /apprequirements.txt available in /app
5RUN pip install -r requirements.txtInstall Python dependenciesDependencies installed
6COPY . .Copy all app files to /appApp source code copied
7CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80"]Set container start commandContainer will run FastAPI app on port 80
8Build imageDocker builds image with above stepsImage created successfully
9Run containerStart container from imageFastAPI app running inside container
10Access appOpen browser or API client to container IP:80FastAPI app responds to requests
11ExitStop container or close appContainer stops, app no longer running
💡 Container stops or user closes app, ending execution
Variable Tracker
VariableStartAfter Step 4After Step 6After Step 9Final
Working DirectoryNone/app/app/app/app
requirements.txtNot presentCopiedCopiedCopiedCopied
Dependencies InstalledNoNoYesYesYes
App Source CodeNot presentNot presentCopiedCopiedCopied
Container StateNot runningNot runningNot runningRunningStopped
Key Moments - 3 Insights
Why do we set WORKDIR before copying files?
WORKDIR sets the folder where commands run and files copy. See execution_table step 3 and 4 where files copy into /app after setting WORKDIR.
What happens if dependencies are not installed before running the app?
The app will fail to start because required packages are missing. Step 5 installs dependencies before copying app code and running it (steps 6 and 7).
Why do we expose the app on 0.0.0.0 instead of localhost?
0.0.0.0 allows the app to accept connections from outside the container. Step 7 CMD uses this so the app is reachable from the host machine.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table, what is the working directory after step 4?
A/app
B/
C/root
DNot set yet
💡 Hint
Check the 'Working Directory' variable in variable_tracker after step 4
At which step does the container start running the FastAPI app?
AStep 7
BStep 9
CStep 8
DStep 10
💡 Hint
Look at execution_table rows describing container state and app running
If we skip the RUN pip install step, what will happen when running the container?
AApp runs normally
BContainer fails to build
CApp fails due to missing dependencies
DApp runs but with errors logged
💡 Hint
Refer to key_moments about dependency installation importance
Concept Snapshot
Docker containerization with FastAPI:
- Write FastAPI app code
- Create Dockerfile with base image, WORKDIR, copy files
- RUN installs dependencies
- CMD runs app with uvicorn on 0.0.0.0:80
- Build image and run container
- Access app via container IP and port
- Container isolates app environment for easy deployment
Full Transcript
Docker containerization for FastAPI involves writing your app code, then creating a Dockerfile that sets a Python base image, sets the working directory, copies your requirements and app files, installs dependencies, and finally runs the app with Uvicorn. The Docker build process reads these instructions step-by-step, creating an image. Running a container from this image starts the FastAPI app inside an isolated environment. You can then access the app through the container's IP and port. This method ensures your app runs the same everywhere, simplifying deployment and scaling.