Conda environment in docker

I am new to dockerization and I am trying to make a docker image out of git repository. The Dockerfile looks like this,

FROM continuumio/miniconda3:latestENV PYTHONDONTWRITEBYTECODE=1ENV PYTHONUNBUFFERED=1WORKDIR /fire_danger_toolCOPY . /fire_danger_tool/.SHELL ["/bin/bash", "--login", "-c"]RUN apt updateRUN apt install -y build-essential gfortranRUN conda initRUN conda create -p /fire_danger_tool/env/fireml python=3.10RUN echo "conda activate /fire_danger_tool/env/fireml" > ~/.bashrcRUN conda install -c conda-forge mambaRUN mamba initRUN mamba install -c conda-forge gdal cython cf-units=3.2.0 esmpy    WORKDIR /fire_danger_tool/frameworks/geokube/RUN python setup.py installWORKDIR /fire_danger_toolRUN --mount=type=cache,target=/root/.cache/pip \    --mount=type=bind,source=requirements.txt,target=requirements.txt \    python -m pip install -r requirements.txtRUN cp -f /fire_danger_tool/env/fireml/lib/libstdc++.so.6 /usr/lib/aarch64-linux-gnu/libstdc++.so.6RUN python -c "from geokube.core.datacube import DataCube"WORKDIR /fire_danger_tool/frameworks/kit4dl/RUN pip install -e .WORKDIR /fire_danger_toolARG UID=10001RUN adduser \    --disabled-password \    --gecos "" \    --home "/nonexistent" \    --shell "/sbin/nologin" \    --no-create-home \    --uid "${UID}" \    appuserUSER appuserEXPOSE 8000CMD python src/inference.py --date=2018-08-20 --conf=src/config/inference_config.toml --collect_data --prepare_static    ARG UID=10001    RUN adduser \        --disabled-password \        --gecos "" \        --home "/nonexistent" \        --shell "/sbin/nologin" \        --no-create-home \        --uid "${UID}" \        appuser    USER appuser    EXPOSE 8000    CMD python src/inference.py --date=2018-08-20 --conf=src/config/inference_config.toml --collect_data --prepare_static

The docker image is created without error. But when I run the docker image, it seems that the conda environment is not already activated in the image. Moreover, conda has not been initiated. I need the conda environment because one of the libraries I need is only available in conda or to be installed from the source. Installing the said library from the source had its own problems.

Is there a way to create a docker image with the conda environment already activated?