mirror of
https://github.com/Stone-Red-Code/dvc.git
synced 2026-11-11 07:18:28 +01:00
Paweł Redzyński
9f90c806d5
* params, plots, metrics: unify collection * collect: split into smaller parts
666 lines
20 KiB
Python
666 lines
20 KiB
Python
import csv
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import json
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import logging
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import os
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import shutil
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from collections import OrderedDict
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import pytest
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from funcy import first
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from dvc.repo import Repo
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from dvc.repo.plots.data import (
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JSONPlotData,
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NoMetricInHistoryError,
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PlotData,
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PlotMetricTypeError,
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YAMLPlotData,
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)
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from dvc.repo.plots.template import (
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BadTemplateError,
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NoFieldInDataError,
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TemplateNotFoundError,
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)
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from dvc.utils.fs import remove
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from dvc.utils.serialize import dump_yaml, dumps_yaml
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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, run_copy_metrics):
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# no header
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metric = [{"val": 2}, {"val": 3}]
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_write_csv(metric, "metric_t.csv", header=False)
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run_copy_metrics(
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"metric_t.csv", "metric.csv", plots_no_cache=["metric.csv"]
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)
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props = {
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"header": False,
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"x_label": "x_title",
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"y_label": "y_title",
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"title": "mytitle",
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}
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plot_string = dvc.plots.show(props=props)["metric.csv"]
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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, run_copy_metrics):
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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_t.csv")
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run_copy_metrics(
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"metric_t.csv", "metric.csv", plots_no_cache=["metric.csv"]
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)
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plot_string = dvc.plots.show()["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, run_copy_metrics):
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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_t.csv")
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run_copy_metrics(
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"metric_t.csv", "metric.csv", plots_no_cache=["metric.csv"]
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)
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props = {"x": "first_val", "y": "second_val"}
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plot_string = dvc.plots.show(props=props)["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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"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, run_copy_metrics):
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metric = [{"val": 2}, {"val": 3}]
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_write_json(tmp_dir, metric, "metric_t.json")
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run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="first run",
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)
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plot_string = dvc.plots.show()["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, run_copy_metrics):
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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_t.json")
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run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="first run",
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)
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plot_string = dvc.plots.show()["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, run_copy_metrics):
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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_t.json")
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run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="first run",
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)
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props = {"template": "confusion", "x": "predicted", "y": "actual"}
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plot_string = dvc.plots.show(props=props)["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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{"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, run_copy_metrics):
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metric_1 = [{"y": 2}, {"y": 3}]
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_write_json(tmp_dir, metric_1, "metric_t.json")
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run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="init",
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tag="v1",
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)
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metric_2 = [{"y": 3}, {"y": 5}]
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_write_json(tmp_dir, metric_2, "metric_t.json")
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run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="second",
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tag="v2",
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)
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metric_3 = [{"y": 5}, {"y": 6}]
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_write_json(tmp_dir, metric_3, "metric_t.json")
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run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="third",
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)
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plot_string = dvc.plots.show(
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revs=["HEAD", "v2", "v1"], props={"fields": {"y"}}
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)["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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{"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, run_copy_metrics):
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templates_dir = dvc.plots.templates.templates_dir
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shutil.copy(
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os.path.join(templates_dir, "default.json"),
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os.path.join(templates_dir, "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_t.json")
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stage = run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="init",
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tag="v1",
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)
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metric_2 = [{"y": 3}, {"y": 5}]
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_write_json(tmp_dir, metric_2, "metric_t.json")
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assert dvc.reproduce(stage.addressing) == [stage]
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scm.add(["metric.json", stage.path])
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scm.commit("second")
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scm.tag("v2")
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metric_3 = [{"y": 5}, {"y": 6}]
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_write_json(tmp_dir, metric_3, "metric_t.json")
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assert dvc.reproduce(stage.addressing) == [stage]
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scm.add(["metric.json", stage.path])
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scm.commit("third")
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props = {"template": "template.json"}
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plot_string = dvc.plots.show(revs=["HEAD", "v2", "v1"], props=props)[
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"metric.json"
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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(
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tmp_dir, scm, dvc, caplog, run_copy_metrics
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):
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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_t.json")
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run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="there is metric",
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tag="v2",
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)
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caplog.clear()
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with caplog.at_level(logging.WARNING, "dvc"):
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plots = dvc.plots.show(revs=["v1", "v2"], targets=["metric.json"])
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assert "'metric.json' was not found at: 'v1'." in caplog.text
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plot_content = json.loads(plots["metric.json"])
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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_plot_cache_missing(tmp_dir, scm, dvc, caplog, run_copy_metrics):
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metric = [{"y": 2}, {"y": 3}]
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_write_json(tmp_dir, metric, "metric_t.json")
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stage = run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots=["metric.json"],
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commit="there is metric",
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)
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scm.tag("v1")
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# Make a different plot and then remove its datafile
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metric = [{"y": 3}, {"y": 4}]
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_write_json(tmp_dir, metric, "metric_t.json")
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stage = run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots=["metric.json"],
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commit="there is an another metric",
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)
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scm.tag("v2")
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remove(stage.outs[0].fspath)
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remove(stage.outs[0].cache_path)
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plots = dvc.plots.show(revs=["v1", "v2"], targets=["metric.json"])
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plot_content = json.loads(plots["metric.json"])
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assert plot_content["data"]["values"] == [
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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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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.plots.show(targets="metric.json", revs=["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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def test_custom_template(tmp_dir, scm, dvc, custom_template, run_copy_metrics):
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metric = [{"a": 1, "b": 2}, {"a": 2, "b": 3}]
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_write_json(tmp_dir, metric, "metric_t.json")
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run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="init",
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tag="v1",
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)
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props = {"template": os.fspath(custom_template), "x": "a", "y": "b"}
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plot_string = dvc.plots.show(props=props)["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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{"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_no_plots(tmp_dir, dvc):
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from dvc.exceptions import NoPlotsError
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with pytest.raises(NoPlotsError):
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dvc.plots.show()
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def test_should_raise_on_no_template(tmp_dir, dvc, run_copy_metrics):
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metric = [{"val": 2}, {"val": 3}]
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_write_json(tmp_dir, metric, "metric_t.json")
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run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="first run",
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)
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with pytest.raises(TemplateNotFoundError):
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props = {"template": "non_existing_template.json"}
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dvc.plots.show("metric.json", props=props)
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def test_bad_template(tmp_dir, dvc, run_copy_metrics):
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metric = [{"val": 2}, {"val": 3}]
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_write_json(tmp_dir, metric, "metric_t.json")
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run_copy_metrics(
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"metric_t.json",
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"metric.json",
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plots_no_cache=["metric.json"],
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commit="first run",
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)
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tmp_dir.gen("template.json", json.dumps({"a": "b", "c": "d"}))
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with pytest.raises(BadTemplateError):
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props = {"template": "template.json"}
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dvc.plots.show("metric.json", props=props)
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def test_plot_wrong_metric_type(tmp_dir, scm, dvc, run_copy_metrics):
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tmp_dir.gen("metric_t.txt", "some text")
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run_copy_metrics(
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"metric_t.txt",
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"metric.txt",
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plots_no_cache=["metric.txt"],
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commit="add text metric",
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)
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with pytest.raises(PlotMetricTypeError):
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dvc.plots.show(targets=["metric.txt"])
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def test_plot_choose_columns(
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tmp_dir, scm, dvc, custom_template, run_copy_metrics
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):
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metric = [{"a": 1, "b": 2, "c": 3}, {"a": 2, "b": 3, "c": 4}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="init",
|
|
tag="v1",
|
|
)
|
|
|
|
props = {
|
|
"template": os.fspath(custom_template),
|
|
"fields": {"b", "c"},
|
|
"x": "b",
|
|
"y": "c",
|
|
}
|
|
plot_string = dvc.plots.show(props=props)["metric.json"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"b": 2, "c": 3, "rev": "workspace"},
|
|
{"b": 3, "c": 4, "rev": "workspace"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == "b"
|
|
assert plot_content["encoding"]["y"]["field"] == "c"
|
|
|
|
|
|
def test_plot_default_choose_column(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric = [{"a": 1, "b": 2, "c": 3}, {"a": 2, "b": 3, "c": 4}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="init",
|
|
tag="v1",
|
|
)
|
|
|
|
plot_string = dvc.plots.show(props={"fields": {"b"}})["metric.json"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
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_yaml(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric = [{"val": 2}, {"val": 3}]
|
|
dump_yaml("metric_t.yaml", metric)
|
|
run_copy_metrics(
|
|
"metric_t.yaml", "metric.yaml", plots_no_cache=["metric.yaml"]
|
|
)
|
|
|
|
plot_string = dvc.plots.show()["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, run_copy_metrics):
|
|
metric = [{"val": 2}, {"val": 3}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="first run",
|
|
)
|
|
|
|
with pytest.raises(NoFieldInDataError):
|
|
dvc.plots.show("metric.json", props={"x": "no_val"})
|
|
|
|
with pytest.raises(NoFieldInDataError):
|
|
dvc.plots.show("metric.json", props={"y": "no_val"})
|
|
|
|
|
|
def test_load_metric_from_dict_json(tmp_dir):
|
|
metric = [{"acccuracy": 1, "loss": 2}, {"accuracy": 3, "loss": 4}]
|
|
dmetric = {"train": metric}
|
|
|
|
plot_data = JSONPlotData("-", "revision", json.dumps(dmetric))
|
|
|
|
expected = metric
|
|
for d in expected:
|
|
d["rev"] = "revision"
|
|
|
|
assert list(map(dict, plot_data.to_datapoints())) == expected
|
|
|
|
|
|
def test_load_metric_from_dict_yaml(tmp_dir):
|
|
metric = [{"acccuracy": 1, "loss": 2}, {"accuracy": 3, "loss": 4}]
|
|
dmetric = {"train": metric}
|
|
|
|
plot_data = YAMLPlotData("-", "revision", dumps_yaml(dmetric))
|
|
|
|
expected = metric
|
|
for d in expected:
|
|
d["rev"] = "revision"
|
|
|
|
assert list(map(dict, plot_data.to_datapoints())) == expected
|
|
|
|
|
|
def test_multiple_plots(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric1 = [
|
|
OrderedDict([("first_val", 100), ("second_val", 100), ("val", 2)]),
|
|
OrderedDict([("first_val", 200), ("second_val", 300), ("val", 3)]),
|
|
]
|
|
metric2 = [
|
|
OrderedDict([("first_val", 100), ("second_val", 100), ("val", 2)]),
|
|
OrderedDict([("first_val", 200), ("second_val", 300), ("val", 3)]),
|
|
]
|
|
_write_csv(metric1, "metric_t1.csv")
|
|
_write_json(tmp_dir, metric2, "metric_t2.json")
|
|
run_copy_metrics(
|
|
"metric_t1.csv", "metric1.csv", plots_no_cache=["metric1.csv"]
|
|
)
|
|
run_copy_metrics(
|
|
"metric_t2.json", "metric2.json", plots_no_cache=["metric2.json"]
|
|
)
|
|
|
|
assert len(dvc.plots.show().keys()) == 2
|
|
|
|
|
|
@pytest.mark.parametrize("use_dvc", [True, False])
|
|
def test_show_non_plot(tmp_dir, scm, use_dvc):
|
|
metric = [
|
|
{"first_val": 100, "val": 2},
|
|
{"first_val": 200, "val": 3},
|
|
]
|
|
_write_json(tmp_dir, metric, "metric.json")
|
|
|
|
if use_dvc:
|
|
dvc = Repo.init()
|
|
else:
|
|
dvc = Repo(uninitialized=True)
|
|
|
|
plot_string = dvc.plots.show(targets=["metric.json"])["metric.json"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{
|
|
"val": 2,
|
|
PlotData.INDEX_FIELD: 0,
|
|
"first_val": 100,
|
|
"rev": "workspace",
|
|
},
|
|
{
|
|
"val": 3,
|
|
PlotData.INDEX_FIELD: 1,
|
|
"first_val": 200,
|
|
"rev": "workspace",
|
|
},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
|
|
assert plot_content["encoding"]["y"]["field"] == "val"
|
|
|
|
if not use_dvc:
|
|
assert not (tmp_dir / ".dvc").exists()
|
|
|
|
|
|
def test_show_non_plot_and_plot_with_params(
|
|
tmp_dir, scm, dvc, run_copy_metrics
|
|
):
|
|
metric = [
|
|
{"first_val": 100, "val": 2},
|
|
{"first_val": 200, "val": 3},
|
|
]
|
|
_write_json(tmp_dir, metric, "metric.json")
|
|
run_copy_metrics(
|
|
"metric.json", "metric2.json", plots_no_cache=["metric2.json"]
|
|
)
|
|
|
|
dvc.plots.modify("metric2.json", props={"title": "TITLE"})
|
|
result = dvc.plots.show(targets=["metric.json", "metric2.json"])
|
|
|
|
plot_content = json.loads(result["metric.json"])
|
|
plot2_content = json.loads(result["metric2.json"])
|
|
|
|
assert plot2_content["title"] == "TITLE"
|
|
|
|
assert plot_content != plot2_content
|
|
plot_content.pop("title")
|
|
plot2_content.pop("title")
|
|
assert plot_content == plot2_content
|