def run(self):
try:
metrics = self.repo.metrics.show(
self.args.targets,
all_branches=self.args.all_branches,
all_tags=self.args.all_tags,
all_commits=self.args.all_commits,
recursive=self.args.recursive,
)
except DvcException:
logger.exception("")
return 1
if self.args.show_json:
import json
logger.info(json.dumps(metrics))
else:
from dvc.compare import show_metrics
# When `metrics` contains a `None` key, it means that some files
# specified as `targets` in `repo.metrics.show` didn't contain any
# metrics.
missing = metrics.pop(None, None)
if missing:
raise BadMetricError(missing)
show_metrics(
metrics,
markdown=self.args.show_md,
all_branches=self.args.all_branches,
all_tags=self.args.all_tags,
all_commits=self.args.all_commits,
precision=self.args.precision or DEFAULT_PRECISION,
round_digits=True,
)
return 0
def show(
self,
path=None,
typ=None,
xpath=None,
all_branches=False,
all_tags=False,
recursive=False,
):
res = {}
for branch in self.brancher(all_branches=all_branches, all_tags=all_tags):
entries = _collect_metrics(self, path, recursive, typ, xpath, branch)
metrics = _read_metrics(self, entries, branch)
if metrics:
res[branch] = metrics
if not res:
if path:
raise BadMetricError(path)
raise NoMetricsError()
return res
def show_metrics(metrics,
all_branches=False,
all_tags=False,
all_commits=False):
"""
Args:
metrics (list): Where each element is either a `list`
if an xpath was specified, otherwise a `str`
"""
# When `metrics` contains a `None` key, it means that some files
# specified as `targets` in `repo.metrics.show` didn't contain any metrics.
missing = metrics.pop(None, None)
for branch, val in metrics.items():
if all_branches or all_tags or all_commits:
logger.info("{branch}:".format(branch=branch))
for fname, metric in val.items():
if isinstance(metric, dict):
lines = list(metric.values())
elif isinstance(metric, list):
lines = metric
else:
lines = metric.splitlines()
if len(lines) > 1:
logger.info("\t{fname}:".format(fname=fname))
for line in lines:
logger.info("\t\t{content}".format(content=line))
else:
logger.info("\t{}: {}".format(fname, metric))
if missing:
raise BadMetricError(missing)
