pretraining_datasets / create_env.sh
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#!/usr/bin/env bash
# Create the conda env used by Datasets/prepare_atlas.ipynb and prepare_benchmark.ipynb.
#
# Usage:
# bash create_env.sh
# FORCE_RECREATE=1 bash create_env.sh
# CONDA_ENVS_PREFIX=/path/to/.conda/envs bash create_env.sh
#
# Then:
# conda activate cyflow_datasets
# # in Jupyter / Cursor: kernel "Python (cyflow_datasets)"
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
DATASETS_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
YML_PATH="${SCRIPT_DIR}/environment.yml"
ENV_NAME="${ENV_NAME:-cyflow_datasets}"
FORCE_RECREATE="${FORCE_RECREATE:-0}"
echo "========================================================================"
echo " CREATE DATASETS ENVIRONMENT: ${ENV_NAME}"
echo "========================================================================"
echo "Setup dir : ${SCRIPT_DIR}"
echo "Datasets dir : ${DATASETS_DIR}"
echo ""
load_conda() {
if command -v module >/dev/null 2>&1; then
echo ">>> Loading cluster modules (anaconda3)..."
module load anaconda3/2023.09-0/none-none 2>/dev/null || module load anaconda3 || true
fi
if ! command -v conda >/dev/null 2>&1; then
for conda_sh in \
"${HOME}/miniforge3/etc/profile.d/conda.sh" \
"${HOME}/mambaforge/etc/profile.d/conda.sh" \
"${HOME}/miniconda3/etc/profile.d/conda.sh" \
"/opt/anaconda3/etc/profile.d/conda.sh" \
"/opt/miniconda3/etc/profile.d/conda.sh"
do
if [[ -f "${conda_sh}" ]]; then
# shellcheck source=/dev/null
source "${conda_sh}"
break
fi
done
fi
if ! command -v conda >/dev/null 2>&1; then
echo "ERROR: conda not found. Install Miniforge/Anaconda or load the anaconda module."
exit 1
fi
# Ensure `conda activate` works in this non-interactive shell.
eval "$(conda shell.bash hook)"
echo " conda: $(command -v conda)"
echo ""
}
env_exists() {
conda env list | awk '{print $1}' | grep -qx "$1"
}
prepare_yml() {
local dest="$1"
if [[ -n "${CONDA_ENVS_PREFIX:-}" ]]; then
grep -vE '^[[:space:]]*prefix:' "${YML_PATH}" > "${dest}"
echo "prefix: ${CONDA_ENVS_PREFIX%/}/${ENV_NAME}" >> "${dest}"
echo ">>> Using prefix ${CONDA_ENVS_PREFIX%/}/${ENV_NAME}"
else
cp "${YML_PATH}" "${dest}"
fi
}
load_conda
if [[ "${FORCE_RECREATE}" == "1" ]] && env_exists "${ENV_NAME}"; then
echo ">>> FORCE_RECREATE: removing existing env '${ENV_NAME}'"
conda env remove -n "${ENV_NAME}" -y
echo ""
fi
if env_exists "${ENV_NAME}"; then
echo ">>> Environment '${ENV_NAME}' already exists (skip conda create)"
echo " Set FORCE_RECREATE=1 to rebuild."
else
tmp_yml="$(mktemp "${TMPDIR:-/tmp}/cyflow_datasets_XXXXXX.yml")"
prepare_yml "${tmp_yml}"
echo ">>> Creating '${ENV_NAME}' from environment.yml"
conda env create -n "${ENV_NAME}" -f "${tmp_yml}"
rm -f "${tmp_yml}"
echo " Created: ${ENV_NAME}"
fi
echo ""
echo ">>> Registering Jupyter kernel"
conda activate "${ENV_NAME}"
python -m ipykernel install --user \
--name "${ENV_NAME}" \
--display-name "Python (${ENV_NAME})"
echo ""
echo ">>> Smoke-test imports (cwd=${DATASETS_DIR})"
cd "${DATASETS_DIR}"
python - <<'PY'
import importlib
mods = [
"numpy", "pandas", "scipy", "sklearn", "yaml",
"matplotlib", "seaborn", "anndata", "scanpy",
"fcsparser", "scyan", "pytometry", "tableone",
"huggingface_hub", "openpyxl", "utils_datasets",
]
failed = []
for name in mods:
try:
importlib.import_module(name)
print(f" ok {name}")
except Exception as exc:
failed.append((name, exc))
print(f" FAIL {name}: {exc}")
if failed:
raise SystemExit(1)
print("All imports succeeded.")
PY
echo ""
echo "========================================================================"
echo " Activate: conda activate ${ENV_NAME}"
echo " Notebooks: Datasets/prepare_atlas.ipynb"
echo " Datasets/prepare_benchmark.ipynb"
echo " Kernel : Python (${ENV_NAME})"
echo "========================================================================"
echo "Done."