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
RHYTHM_EVENT_SEQUENCES_CONFIG ?= sddb

.PHONY: setup sync hooks datasets format lint optuna_dashboard tasks \
	visualize visualize-datasets cudb-anomaly-scores study \
	rhythm-event-sequences rhythm-event-sequences-visualize rhythm-event-sequences-score

setup: sync hooks datasets

sync:
	$(UV) sync

hooks:
	git config core.hooksPath ./.git-hooks

datasets: $(DATASET_STAMP)

$(DATASET_STAMP): dataset.sh .env
	bash dataset.sh
	touch "$@"

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' \
		'visualize-datasets' \
		'cudb-anomaly-scores' \
		'study' \
		'rhythm-event-sequences' \
		'rhythm-event-sequences-visualize' \
		'rhythm-event-sequences-score'

visualize:
	$(PYTHON) -m ecg_visualization.tasks.visualize

visualize-datasets:
	$(PYTHON) -m ecg_visualization.tasks.visualize_datasets $(if $(dataset_ids),dataset_ids=$(dataset_ids),)

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

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

rhythm-event-sequences:
	$(PYTHON) -m ecg_visualization.tasks.rhythm_event_sequences config_name=$(RHYTHM_EVENT_SEQUENCES_CONFIG)

rhythm-event-sequences-visualize:
	$(PYTHON) -m ecg_visualization.tasks.rhythm_event_sequences.visualize config_name=$(RHYTHM_EVENT_SEQUENCES_CONFIG)

rhythm-event-sequences-score:
	$(PYTHON) -m ecg_visualization.tasks.rhythm_event_sequences.score config_name=$(RHYTHM_EVENT_SEQUENCES_CONFIG)