ecg_visualization/Makefile at main · Key5n/ecg_visualization · GitHub

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UV ?= uv
PYTHON ?= $(UV) run python
-include .env

# Marker generated by the datasets target after a successful download.
DATASET_STAMP := $(DATASET_ROOT)/.downloaded
# OmegaConf overrides passed to task entry points, for example:
# make study ARGS='dataset_id=mitdb output_dir=output/debug'
ARGS ?=

.PHONY: setup sync hooks datasets format lint optuna_dashboard tasks \
	visualize-studies visualize-datasets cudb-anomaly-scores study \
	rhythm-event-sequences rhythm-event-sequences-visualize rhythm-event-sequences-score \
	rr-interval-statistics anomaly-detection-example all-anomaly-detection-scores

setup: sync hooks datasets

sync:
	$(UV) sync

hooks:
	$(UV) run pre-commit install

datasets: $(DATASET_STAMP)

$(DATASET_STAMP): data/raw-datasets/dataset.sh .env
	bash data/raw-datasets/dataset.sh
	touch "$@"

format:
	$(UV) run ruff format .

lint: format
	$(UV) run ruff check --fix .

optuna_dashboard:
	@storage_url="$$( $(PYTHON) -c 'from peincfedmdrs.utils.optuna import build_storage_name; print(build_storage_name())')"; \
	$(UV) run optuna-dashboard "$$storage_url" --host 0.0.0.0

tasks:
	@printf '%s\n' \
		'visualize-studies' \
		'visualize-datasets' \
		'rr-interval-statistics' \
		'cudb-anomaly-scores' \
		'study' \
		'rhythm-event-sequences' \
		'rhythm-event-sequences-visualize' \
		'rhythm-event-sequences-score' \
		'anomaly-detection-example' \
		'all-anomaly-detection-scores'

visualize-studies:
	$(PYTHON) -m ecg_visualization.tasks.visualize_studies $(ARGS)

visualize-datasets:
	$(PYTHON) -m ecg_visualization.tasks.visualize_datasets $(ARGS)

rr-interval-statistics:
	$(PYTHON) -m ecg_visualization.tasks.rr_interval_statistics $(ARGS)

cudb-anomaly-scores:
	$(PYTHON) -m ecg_visualization.tasks.cudb_anomaly_scores $(ARGS)

study:
	$(PYTHON) -m ecg_visualization.tasks.study $(ARGS)

rhythm-event-sequences:
	$(PYTHON) -m ecg_visualization.tasks.rhythm_event_sequences $(ARGS)

rhythm-event-sequences-visualize:
	$(PYTHON) -m ecg_visualization.tasks.rhythm_event_sequences.visualize $(ARGS)

rhythm-event-sequences-score:
	$(PYTHON) -m ecg_visualization.tasks.rhythm_event_sequences.score $(ARGS)

anomaly-detection-example:
	$(PYTHON) -m ecg_visualization.tasks.anomaly_detection_example $(ARGS)

all-anomaly-detection-scores:
	$(PYTHON) -m ecg_visualization.tasks.all_anomaly_detection_scores $(ARGS)