Dockerfile

# Use official Python image from the DockerHub
FROM python:3.9

# Set working directory inside the container
WORKDIR /app

# Copy the requirements file to the container
COPY ./requirements.txt /app/requirements.txt

# Install the Python dependencies
RUN pip install --no-cache-dir -r /app/requirements.txt

# Copy everything to the container
# COPY . .
COPY ./main.py /app/main.py
COPY ./api_v1.py /app/api_v1.py
COPY ./utility_v1.py /app/utility_v1.py

# Add folders as data mount points
ADD data /code/data/
# ADD cred /code/cred/



# -----------------------------------------------
# -----------------------------------------------

# Use official Python image from the DockerHub
FROM python:3.9

# Set working directory inside the container
WORKDIR /app

# -----------------------------------------------
# Common apt commands
RUN apt update

# Few necessary libraries on any Linux system
RUN apt-get install ffmpeg libsm6 libxext6  -y
RUN apt-get install poppler-utils -y

# -----------------------------------------------
# Common pip commands
RUN pip install --upgrade pip
RUN pip install python-multipart

# -----------------------------------------------
# Copy the requirements file to the container
COPY ./requirements.txt /app/requirements.txt

# Install the Python dependencies
RUN pip install --no-cache-dir -r /app/requirements.txt

# -----------------------------------------------
# Copy everything to the container
# COPY . .
COPY ./api_v1.py /app/api_v1.py
COPY ./utility_v1.py /app/utility_v1.py


# -----------------------------------------------
# Add folders as data mount points
ADD data /code/data/
# ADD cred /code/cred/

# -----------------------------------------------

# Alternative: If command is not provided in "docker-compose.yml" and "__main__" function is not defined in api script:

# # Expose the port FastAPI will run on
# EXPOSE 8000

# # Command to run the FastAPI app using Uvicorn
# CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]