mirror of
https://github.com/Stone-Red-Code/dvc.git
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518 lines
16 KiB
Python
518 lines
16 KiB
Python
import csv
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import json
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import logging
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import shutil
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from collections import OrderedDict
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import pytest
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import yaml
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from bs4 import BeautifulSoup
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from funcy import first
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from dvc.compat import fspath
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from dvc.repo.plot import NoDataOrTemplateProvided
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from dvc.repo.plot.data import (
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NoMetricInHistoryError,
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PlotData,
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PlotMetricTypeError,
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)
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from dvc.repo.plot.template import (
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NoDataForTemplateError,
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NoFieldInDataError,
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TemplateNotFoundError,
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)
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def _remove_whitespace(value):
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return value.replace(" ", "").replace("\n", "")
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def _run_with_metric(tmp_dir, metric_filename, commit=None, tag=None):
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tmp_dir.dvc.run(metrics_no_cache=[metric_filename], single_stage=True)
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if hasattr(tmp_dir.dvc, "scm"):
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tmp_dir.dvc.scm.add([metric_filename, metric_filename + ".dvc"])
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if commit:
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tmp_dir.dvc.scm.commit(commit)
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if tag:
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tmp_dir.dvc.scm.tag(tag)
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def _write_csv(metric, filename, header=True):
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with open(filename, "w", newline="") as csvobj:
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if header:
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writer = csv.DictWriter(
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csvobj, fieldnames=list(first(metric).keys())
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)
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writer.writeheader()
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writer.writerows(metric)
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else:
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writer = csv.writer(csvobj)
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for d in metric:
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assert len(d) == 1
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writer.writerow(list(d.values()))
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def _write_json(tmp_dir, metric, filename):
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tmp_dir.gen(filename, json.dumps(metric, sort_keys=True))
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def test_plot_csv_one_column(tmp_dir, scm, dvc):
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# no header
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metric = [{"val": 2}, {"val": 3}]
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_write_csv(metric, "metric.csv", header=False)
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_run_with_metric(tmp_dir, metric_filename="metric.csv")
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plot_string = dvc.plot(
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"metric.csv",
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csv_header=False,
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x_title="x_title",
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y_title="y_title",
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title="mytitle",
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)
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plot_content = json.loads(plot_string)
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assert plot_content["title"] == "mytitle"
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assert plot_content["data"]["values"] == [
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{"0": "2", PlotData.INDEX_FIELD: 0, "rev": "workspace"},
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{"0": "3", PlotData.INDEX_FIELD: 1, "rev": "workspace"},
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]
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assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
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assert plot_content["encoding"]["y"]["field"] == "0"
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assert plot_content["encoding"]["x"]["title"] == "x_title"
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assert plot_content["encoding"]["y"]["title"] == "y_title"
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def test_plot_csv_multiple_columns(tmp_dir, scm, dvc):
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metric = [
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OrderedDict([("first_val", 100), ("second_val", 100), ("val", 2)]),
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OrderedDict([("first_val", 200), ("second_val", 300), ("val", 3)]),
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]
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_write_csv(metric, "metric.csv")
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_run_with_metric(tmp_dir, metric_filename="metric.csv")
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plot_string = dvc.plot("metric.csv")
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{
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"val": "2",
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PlotData.INDEX_FIELD: 0,
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"rev": "workspace",
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"first_val": "100",
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"second_val": "100",
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},
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{
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"val": "3",
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PlotData.INDEX_FIELD: 1,
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"rev": "workspace",
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"first_val": "200",
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"second_val": "300",
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},
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]
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assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
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assert plot_content["encoding"]["y"]["field"] == "val"
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def test_plot_csv_choose_axes(tmp_dir, scm, dvc):
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metric = [
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OrderedDict([("first_val", 100), ("second_val", 100), ("val", 2)]),
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OrderedDict([("first_val", 200), ("second_val", 300), ("val", 3)]),
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]
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_write_csv(metric, "metric.csv")
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_run_with_metric(tmp_dir, metric_filename="metric.csv")
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plot_string = dvc.plot(
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"metric.csv", x_field="first_val", y_field="second_val"
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)
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{
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"val": "2",
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"rev": "workspace",
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"first_val": "100",
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"second_val": "100",
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},
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{
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"val": "3",
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"rev": "workspace",
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"first_val": "200",
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"second_val": "300",
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},
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]
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assert plot_content["encoding"]["x"]["field"] == "first_val"
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assert plot_content["encoding"]["y"]["field"] == "second_val"
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def test_plot_json_single_val(tmp_dir, scm, dvc):
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metric = [{"val": 2}, {"val": 3}]
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_write_json(tmp_dir, metric, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "first run")
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plot_string = dvc.plot("metric.json")
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plot_json = json.loads(plot_string)
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assert plot_json["data"]["values"] == [
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{"val": 2, PlotData.INDEX_FIELD: 0, "rev": "workspace"},
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{"val": 3, PlotData.INDEX_FIELD: 1, "rev": "workspace"},
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]
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assert plot_json["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
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assert plot_json["encoding"]["y"]["field"] == "val"
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def test_plot_json_multiple_val(tmp_dir, scm, dvc):
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metric = [
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{"first_val": 100, "val": 2},
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{"first_val": 200, "val": 3},
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]
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_write_json(tmp_dir, metric, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "first run")
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plot_string = dvc.plot("metric.json")
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{
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"val": 2,
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PlotData.INDEX_FIELD: 0,
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"first_val": 100,
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"rev": "workspace",
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},
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{
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"val": 3,
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PlotData.INDEX_FIELD: 1,
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"first_val": 200,
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"rev": "workspace",
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},
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]
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assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
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assert plot_content["encoding"]["y"]["field"] == "val"
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def test_plot_confusion(tmp_dir, dvc):
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confusion_matrix = [
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{"predicted": "B", "actual": "A"},
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{"predicted": "A", "actual": "A"},
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]
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_write_json(tmp_dir, confusion_matrix, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "first run")
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plot_string = dvc.plot(
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datafile="metric.json",
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template="confusion",
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x_field="predicted",
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y_field="actual",
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)
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{"predicted": "B", "actual": "A", "rev": "workspace"},
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{"predicted": "A", "actual": "A", "rev": "workspace"},
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]
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assert plot_content["encoding"]["x"]["field"] == "predicted"
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assert plot_content["encoding"]["y"]["field"] == "actual"
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def test_plot_multiple_revs_default(tmp_dir, scm, dvc):
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metric_1 = [{"y": 2}, {"y": 3}]
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_write_json(tmp_dir, metric_1, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "init", "v1")
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metric_2 = [{"y": 3}, {"y": 5}]
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_write_json(tmp_dir, metric_2, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "second", "v2")
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metric_3 = [{"y": 5}, {"y": 6}]
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_write_json(tmp_dir, metric_3, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "third")
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plot_string = dvc.plot(
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"metric.json", fields={"y"}, revisions=["HEAD", "v2", "v1"],
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)
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{"y": 5, PlotData.INDEX_FIELD: 0, "rev": "HEAD"},
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{"y": 6, PlotData.INDEX_FIELD: 1, "rev": "HEAD"},
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{"y": 3, PlotData.INDEX_FIELD: 0, "rev": "v2"},
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{"y": 5, PlotData.INDEX_FIELD: 1, "rev": "v2"},
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{"y": 2, PlotData.INDEX_FIELD: 0, "rev": "v1"},
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{"y": 3, PlotData.INDEX_FIELD: 1, "rev": "v1"},
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]
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assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
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assert plot_content["encoding"]["y"]["field"] == "y"
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def test_plot_multiple_revs(tmp_dir, scm, dvc):
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shutil.copy(
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fspath(tmp_dir / ".dvc" / "plot" / "default.json"), "template.json"
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)
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metric_1 = [{"y": 2}, {"y": 3}]
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_write_json(tmp_dir, metric_1, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "init", "v1")
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metric_2 = [{"y": 3}, {"y": 5}]
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_write_json(tmp_dir, metric_2, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "second", "v2")
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metric_3 = [{"y": 5}, {"y": 6}]
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_write_json(tmp_dir, metric_3, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "third")
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plot_string = dvc.plot(
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"metric.json",
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template="template.json",
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revisions=["HEAD", "v2", "v1"],
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)
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{"y": 5, PlotData.INDEX_FIELD: 0, "rev": "HEAD"},
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{"y": 6, PlotData.INDEX_FIELD: 1, "rev": "HEAD"},
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{"y": 3, PlotData.INDEX_FIELD: 0, "rev": "v2"},
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{"y": 5, PlotData.INDEX_FIELD: 1, "rev": "v2"},
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{"y": 2, PlotData.INDEX_FIELD: 0, "rev": "v1"},
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{"y": 3, PlotData.INDEX_FIELD: 1, "rev": "v1"},
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]
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assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
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assert plot_content["encoding"]["y"]["field"] == "y"
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def test_plot_even_if_metric_missing(tmp_dir, scm, dvc, caplog):
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tmp_dir.scm_gen("some_file", "content", commit="there is no metric")
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scm.tag("v1")
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metric = [{"y": 2}, {"y": 3}]
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_write_json(tmp_dir, metric, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "there is metric", "v2")
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caplog.clear()
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with caplog.at_level(logging.WARNING, "dvc"):
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plot_string = dvc.plot("metric.json", revisions=["v1", "v2"])
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assert (
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"File 'metric.json' was not found at: 'v1'. "
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"It will not be plotted." in caplog.text
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)
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{"y": 2, PlotData.INDEX_FIELD: 0, "rev": "v2"},
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{"y": 3, PlotData.INDEX_FIELD: 1, "rev": "v2"},
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]
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assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
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assert plot_content["encoding"]["y"]["field"] == "y"
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def test_throw_on_no_metric_at_all(tmp_dir, scm, dvc, caplog):
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tmp_dir.scm_gen("some_file", "content", commit="there is no metric")
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scm.tag("v1")
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tmp_dir.gen("some_file", "make repo dirty")
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caplog.clear()
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with pytest.raises(NoMetricInHistoryError) as error, caplog.at_level(
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logging.WARNING, "dvc"
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):
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dvc.plot("metric.json", revisions=["v1"])
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# do not warn if none found
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assert len(caplog.messages) == 0
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assert str(error.value) == "Could not find 'metric.json'."
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@pytest.fixture()
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def custom_template(tmp_dir, dvc):
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custom_template = tmp_dir / "custom_template.json"
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shutil.copy(
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fspath(tmp_dir / ".dvc" / "plot" / "default.json"),
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fspath(custom_template),
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)
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return custom_template
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def test_custom_template(tmp_dir, scm, dvc, custom_template):
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metric = [{"a": 1, "b": 2}, {"a": 2, "b": 3}]
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_write_json(tmp_dir, metric, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "init", "v1")
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plot_string = dvc.plot(
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"metric.json", fspath(custom_template), x_field="a", y_field="b"
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)
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{"a": 1, "b": 2, "rev": "workspace"},
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{"a": 2, "b": 3, "rev": "workspace"},
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]
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assert plot_content["encoding"]["x"]["field"] == "a"
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assert plot_content["encoding"]["y"]["field"] == "b"
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def _replace(path, src, dst):
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path.write_text(path.read_text().replace(src, dst))
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def test_custom_template_with_specified_data(
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tmp_dir, scm, dvc, custom_template
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):
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_replace(
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custom_template, "DVC_METRIC_DATA", "DVC_METRIC_DATA,metric.json",
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)
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metric = [{"a": 1, "b": 2}, {"a": 2, "b": 3}]
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_write_json(tmp_dir, metric, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "init", "v1")
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plot_string = dvc.plot(
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datafile=None,
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template=fspath(custom_template),
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x_field="a",
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y_field="b",
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)
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{"a": 1, "b": 2, "rev": "workspace"},
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{"a": 2, "b": 3, "rev": "workspace"},
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]
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assert plot_content["encoding"]["x"]["field"] == "a"
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assert plot_content["encoding"]["y"]["field"] == "b"
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def test_plot_override_specified_data_source(tmp_dir, scm, dvc):
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shutil.copy(
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fspath(tmp_dir / ".dvc" / "plot" / "default.json"),
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fspath(tmp_dir / "newtemplate.json"),
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)
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_replace(
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tmp_dir / "newtemplate.json",
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"DVC_METRIC_DATA",
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"DVC_METRIC_DATA,metric.json",
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)
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metric = [{"a": 1, "b": 2}, {"a": 2, "b": 3}]
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_write_json(tmp_dir, metric, "metric2.json")
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_run_with_metric(tmp_dir, "metric2.json", "init", "v1")
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plot_string = dvc.plot(
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datafile="metric2.json", template="newtemplate.json", x_field="a"
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)
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{"a": 1, "b": 2, "rev": "workspace"},
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{"a": 2, "b": 3, "rev": "workspace"},
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]
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assert plot_content["encoding"]["x"]["field"] == "a"
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assert plot_content["encoding"]["y"]["field"] == "b"
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def test_should_raise_on_no_template_and_datafile(tmp_dir, dvc):
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with pytest.raises(NoDataOrTemplateProvided):
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dvc.plot()
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def test_should_raise_on_no_template(tmp_dir, dvc):
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with pytest.raises(TemplateNotFoundError):
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dvc.plot("metric.json", "non_existing_template.json")
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def test_plot_no_data(tmp_dir, dvc):
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with pytest.raises(NoDataForTemplateError):
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dvc.plot(template="default")
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def test_plot_wrong_metric_type(tmp_dir, scm, dvc):
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tmp_dir.scm_gen("metric.txt", "content", commit="initial")
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with pytest.raises(PlotMetricTypeError):
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dvc.plot(datafile="metric.txt")
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def test_plot_choose_columns(tmp_dir, scm, dvc, custom_template):
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metric = [{"a": 1, "b": 2, "c": 3}, {"a": 2, "b": 3, "c": 4}]
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_write_json(tmp_dir, metric, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "init", "v1")
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plot_string = dvc.plot(
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"metric.json",
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fspath(custom_template),
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fields={"b", "c"},
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x_field="b",
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y_field="c",
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)
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
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{"b": 2, "c": 3, "rev": "workspace"},
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{"b": 3, "c": 4, "rev": "workspace"},
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]
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assert plot_content["encoding"]["x"]["field"] == "b"
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assert plot_content["encoding"]["y"]["field"] == "c"
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def test_plot_default_choose_column(tmp_dir, scm, dvc):
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metric = [{"a": 1, "b": 2, "c": 3}, {"a": 2, "b": 3, "c": 4}]
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_write_json(tmp_dir, metric, "metric.json")
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_run_with_metric(tmp_dir, "metric.json", "init", "v1")
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plot_string = dvc.plot("metric.json", fields={"b"})
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plot_content = json.loads(plot_string)
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assert plot_content["data"]["values"] == [
|
|
{PlotData.INDEX_FIELD: 0, "b": 2, "rev": "workspace"},
|
|
{PlotData.INDEX_FIELD: 1, "b": 3, "rev": "workspace"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
|
|
assert plot_content["encoding"]["y"]["field"] == "b"
|
|
|
|
|
|
def test_plot_embed(tmp_dir, scm, dvc):
|
|
metric = [{"val": 2}, {"val": 3}]
|
|
_write_json(tmp_dir, metric, "metric.json")
|
|
_run_with_metric(tmp_dir, "metric.json", "first run")
|
|
|
|
plot_string = dvc.plot("metric.json", embed=True, y_field="val")
|
|
|
|
page_content = BeautifulSoup(plot_string)
|
|
data_dump = json.dumps(
|
|
[
|
|
{"val": 2, PlotData.INDEX_FIELD: 0, "rev": "workspace"},
|
|
{"val": 3, PlotData.INDEX_FIELD: 1, "rev": "workspace"},
|
|
],
|
|
sort_keys=True,
|
|
)
|
|
|
|
assert _remove_whitespace(data_dump) in _remove_whitespace(
|
|
first(page_content.body.script.contents)
|
|
)
|
|
|
|
|
|
def test_plot_yaml(tmp_dir, scm, dvc):
|
|
metric = [{"val": 2}, {"val": 3}]
|
|
with open("metric.yaml", "w") as fobj:
|
|
yaml.dump(metric, fobj)
|
|
|
|
_run_with_metric(tmp_dir, metric_filename="metric.yaml")
|
|
|
|
plot_string = dvc.plot("metric.yaml",)
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"val": 2, PlotData.INDEX_FIELD: 0, "rev": "workspace"},
|
|
{"val": 3, PlotData.INDEX_FIELD: 1, "rev": "workspace"},
|
|
]
|
|
|
|
|
|
def test_raise_on_wrong_field(tmp_dir, scm, dvc):
|
|
metric = [{"val": 2}, {"val": 3}]
|
|
_write_json(tmp_dir, metric, "metric.json")
|
|
_run_with_metric(tmp_dir, "metric.json", "first run")
|
|
|
|
with pytest.raises(NoFieldInDataError):
|
|
dvc.plot("metric.json", x_field="no_val")
|
|
|
|
with pytest.raises(NoFieldInDataError):
|
|
dvc.plot("metric.json", y_field="no_val")
|