def load_from_pipeline(stage, data, typ="outs"):
if typ not in (
stage.PARAM_OUTS,
stage.PARAM_METRICS,
stage.PARAM_PLOTS,
stage.PARAM_LIVE,
):
raise ValueError(f"'{typ}' key is not allowed for pipeline files.")
metric = typ == stage.PARAM_METRICS
plot = typ == stage.PARAM_PLOTS
live = typ == stage.PARAM_LIVE
if live:
# `live` is single object
data = [data]
d = _merge_data(data)
for path, flags in d.items():
plt_d, live_d = {}, {}
if plot:
from dvc.schema import PLOT_PROPS
plt_d, flags = _split_dict(flags, keys=PLOT_PROPS.keys())
if live:
from dvc.schema import LIVE_PROPS
live_d, flags = _split_dict(flags, keys=LIVE_PROPS.keys())
extra = project(
flags,
[
Output.PARAM_CACHE,
Output.PARAM_PERSIST,
Output.PARAM_CHECKPOINT,
Output.PARAM_REMOTE,
],
)
yield _get(
stage,
path,
info={},
plot=plt_d or plot,
metric=metric,
live=live_d or live,
**extra,
)
def load_from_pipeline(stage, s_list, typ="outs"):
if typ not in (stage.PARAM_OUTS, stage.PARAM_METRICS, stage.PARAM_PLOTS):
raise ValueError(f"'{typ}' key is not allowed for pipeline files.")
metric = typ == stage.PARAM_METRICS
plot = typ == stage.PARAM_PLOTS
d = _merge_data(s_list)
for path, flags in d.items():
plt_d = {}
if plot:
from dvc.schema import PLOT_PROPS
plt_d, flags = _split_dict(flags, keys=PLOT_PROPS.keys())
extra = project(flags, ["cache", "persist"])
yield _get(stage, path, {}, plot=plt_d or plot, metric=metric, **extra)
