plots: tests: integration test for vscode

Closes: #7549
This commit is contained in:
Paweł Redzyński
2022-04-26 21:32:56 +02:00
committed by David de la Iglesia Castro
parent f84f9cf184
commit 700b648da9
7 changed files with 350 additions and 45 deletions
+7 -3
View File
@@ -70,8 +70,13 @@ class CmdPlots(CmdBase):
"visualization file will not be created."
)
out: str = self.args.out or "dvc_plots"
renderers_out = (
out if self.args.json else os.path.join(out, "static")
)
renderers = match_renderers(
plots_data=plots_data, out=self.args.out
plots_data=plots_data, out=renderers_out
)
if self.args.show_vega:
@@ -95,8 +100,7 @@ class CmdPlots(CmdBase):
self.repo.dvc_dir, html_template_path
)
rel: str = self.args.out or "dvc_plots"
output_file: Path = (Path.cwd() / rel).resolve() / "index.html"
output_file: Path = (Path.cwd() / out).resolve() / "index.html"
render_html(
renderers=renderers,
+5 -2
View File
@@ -1,4 +1,5 @@
import json
import os
from collections import defaultdict
from typing import Dict, List, Union
@@ -42,8 +43,10 @@ def _group_by_rev(datapoints):
def to_json(renderer, split: bool = False) -> List[Dict]:
from copy import deepcopy
if renderer.TYPE == "vega":
grouped = _group_by_rev(renderer.datapoints)
grouped = _group_by_rev(deepcopy(renderer.datapoints))
if split:
content = renderer.get_filled_template(skip_anchors=["data"])
else:
@@ -61,7 +64,7 @@ def to_json(renderer, split: bool = False) -> List[Dict]:
{
TYPE_KEY: renderer.TYPE,
REVISIONS_KEY: [datapoint.get(REVISION_FIELD)],
"url": datapoint.get(SRC_FIELD),
"url": os.path.abspath(datapoint.get(SRC_FIELD)),
}
for datapoint in renderer.datapoints
]
+1 -3
View File
@@ -45,9 +45,7 @@ class ImageConverter:
if path:
if not os.path.isdir(path):
os.makedirs(path, exist_ok=True)
src = self._write_image(
os.path.abspath(path), revision, filename, data
)
src = self._write_image(path, revision, filename, data)
else:
src = self._encode_image(data)
datapoint = {
+35
View File
@@ -215,3 +215,38 @@ defaultBranch=master
import pygit2
pygit2.settings.search_path[pygit2.GIT_CONFIG_LEVEL_GLOBAL] = str(home_dir)
@pytest.fixture
def run_copy_metrics(tmp_dir, run_copy):
def run(
file1,
file2,
commit=None,
tag=None,
single_stage=True,
name=None,
**kwargs,
):
if name:
single_stage = False
stage = tmp_dir.dvc.run(
cmd=f"python copy.py {file1} {file2}",
deps=[file1],
single_stage=single_stage,
name=name,
**kwargs,
)
if hasattr(tmp_dir.dvc, "scm"):
files = [stage.path]
files += [out.fs_path for out in stage.outs if not out.use_cache]
tmp_dir.dvc.scm.add(files)
if commit:
tmp_dir.dvc.scm.commit(commit)
if tag:
tmp_dir.dvc.scm.tag(tag)
return stage
return run
-36
View File
@@ -1,36 +0,0 @@
import pytest
@pytest.fixture
def run_copy_metrics(tmp_dir, run_copy):
def run(
file1,
file2,
commit=None,
tag=None,
single_stage=True,
name=None,
**kwargs,
):
if name:
single_stage = False
stage = tmp_dir.dvc.run(
cmd=f"python copy.py {file1} {file2}",
deps=[file1],
single_stage=single_stage,
name=name,
**kwargs,
)
if hasattr(tmp_dir.dvc, "scm"):
files = [stage.path]
files += [out.fs_path for out in stage.outs if not out.use_cache]
tmp_dir.dvc.scm.add(files)
if commit:
tmp_dir.dvc.scm.commit(commit)
if tag:
tmp_dir.dvc.scm.tag(tag)
return stage
return run
+299
View File
@@ -0,0 +1,299 @@
import json
import os
from copy import deepcopy
from typing import Dict, List
from urllib.parse import urlparse
from urllib.request import url2pathname
import dpath.util
from funcy import first
from dvc.cli import main
JSON_OUT = "vis_data"
def call(capsys, subcommand="show"):
capsys.readouterr()
assert (
main(["plots", subcommand, "--json", "-o", JSON_OUT, "--split"]) == 0
)
split_json_out, _ = capsys.readouterr()
split_json_result = json.loads(split_json_out)
capsys.readouterr()
assert main(["plots", subcommand, "--json", "-o", JSON_OUT]) == 0
json_out, _ = capsys.readouterr()
json_result = json.loads(json_out)
assert main(["plots", subcommand]) == 0
html_path_out, _ = capsys.readouterr()
parsed = urlparse(html_path_out.strip())
abspath = url2pathname(parsed.path)
return abspath, json_result, split_json_result
def test_no_plots(tmp_dir, scm, dvc, capsys):
html_path, json_result, split_json_result = call(capsys)
assert os.path.exists(html_path)
assert json_result == {}
assert split_json_result == {}
def filter_fields(datapoints: List[Dict], fields: List[str]):
tmp = deepcopy(datapoints)
for datapoint in tmp:
keys = set(datapoint.keys())
for key in keys:
if key not in fields:
datapoint.pop(key)
return tmp
def verify_image(tmp_dir, version, filename, content, html_path, json_result):
assert os.path.exists(html_path)
with open(html_path, "r", encoding="utf-8") as fd:
html_content = fd.read()
image_data = {}
for datapoint in json_result[filename]:
if datapoint["revisions"] == [version]:
image_data = datapoint
break
assert image_data, f"{version} data for {filename} was not found"
assert image_data["type"] == "image"
assert image_data["url"] == str(
tmp_dir / JSON_OUT / f"{version}_{filename}"
)
assert (
tmp_dir / JSON_OUT / f"{version}_{filename}"
).read_bytes() == content
assert (
os.path.join("dvc_plots", "static", f"{version}_{filename}")
in html_content
)
assert (
tmp_dir / "dvc_plots" / "static" / f"{version}_{filename}"
).read_bytes() == content
def _remove_blanks(text: str):
return text.replace("\t", "").replace("\n", "").replace(" ", "")
def verify_vega(
versions,
filename,
fields,
expected_data,
html_path,
json_result,
split_json_result,
):
assert os.path.exists(html_path)
with open(html_path, "r", encoding="utf-8") as fd:
html_content = fd.read()
assert _remove_blanks(
json.dumps(dpath.util.get(json_result, [filename, 0, "content"]))
) in _remove_blanks(html_content)
if isinstance(versions, str):
versions = [versions]
for j in [json_result, split_json_result]:
assert len(j[filename]) == 1
assert dpath.util.get(j, [filename, 0, "type"]) == "vega"
assert dpath.util.get(j, [filename, 0, "revisions"]) == versions
assert dpath.util.get(
json_result, [filename, 0, "datapoints"]
) == dpath.util.get(split_json_result, [filename, 0, "datapoints"])
assert set(versions) == set(
dpath.util.get(json_result, [filename, 0, "datapoints"]).keys()
)
assert (
filter_fields(
dpath.util.get(
json_result, [filename, 0, "content", "data", "values"]
),
fields,
)
== expected_data
)
assert (
dpath.util.get(
split_json_result, [filename, 0, "content", "data", "values"]
)
== "<DVC_METRIC_DATA>"
)
# if data is not considered, json and split json should be identical
json_content = deepcopy(
dpath.util.get(json_result, [filename, 0, "content"])
)
split_json_content = deepcopy(
dpath.util.get(split_json_result, [filename, 0, "content"])
)
dpath.util.set(json_content, ["data"], {})
dpath.util.set(split_json_content, ["data"], {})
assert json_content == split_json_content
def verify_vega_props(filename, json_result, title, x, y):
data = json_result[filename]
assert len(data) == 1
data = first(data)
assert dpath.util.get(data, ["content", "title"]) == title
assert (
dpath.util.get(data, ["content", "spec", "encoding", "x", "field"])
== x
)
assert (
dpath.util.get(data, ["content", "spec", "encoding", "y", "field"])
== y
)
def repo_with_plots(tmp_dir, scm, dvc, run_copy_metrics):
linear_v1 = [{"x": 1, "y": 0.1}, {"x": 2, "y": 0.2}, {"x": 3, "y": 0.3}]
confusion_v1 = [
{"actual": 0, "predicted": 1},
{"actual": 0, "predicted": 1},
{"actual": 1, "predicted": 0},
{"actual": 1, "predicted": 0},
]
image_v1 = b"content"
(tmp_dir / "linear_src.json").dump_json(linear_v1)
(tmp_dir / "confusion_src.json").dump_json(confusion_v1)
(tmp_dir / "image_src.png").write_bytes(image_v1)
scm.add(["linear_src.json", "confusion_src.json", "image_src.png"])
scm.commit("add data sources")
run_copy_metrics(
"linear_src.json",
"linear.json",
name="linear",
plots=["linear.json"],
commit="linear",
)
run_copy_metrics(
"confusion_src.json",
"confusion.json",
name="confusion",
plots=["confusion.json"],
commit="confusion",
)
confusion_props = {
"title": "confusion matrix",
"x": "predicted",
"y": "actual",
}
dvc.plots.modify(
"confusion.json",
{**confusion_props, **{"template": "confusion"}},
)
run_copy_metrics(
"image_src.png",
"image.png",
name="image",
plots=["image.png"],
commit="image",
)
scm.add(["dvc.yaml", "dvc.lock"])
scm.commit("commit dvc files")
yield image_v1, linear_v1, confusion_v1, confusion_props
linear_v2 = [{"x": 1, "y": 0.2}, {"x": 2, "y": 0.3}, {"x": 3, "y": 0.4}]
confusion_v2 = [
{"actual": 0, "predicted": 0},
{"actual": 0, "predicted": 0},
{"actual": 1, "predicted": 1},
{"actual": 1, "predicted": 1},
]
image_v2 = b"content2"
(tmp_dir / "linear_src.json").dump_json(linear_v2)
(tmp_dir / "confusion_src.json").dump_json(confusion_v2)
(tmp_dir / "image_src.png").write_bytes(image_v2)
dvc.reproduce()
yield image_v2, linear_v2, confusion_v2, confusion_props
def test_repo_with_plots(tmp_dir, scm, dvc, capsys, run_copy_metrics):
repo_state = repo_with_plots(tmp_dir, scm, dvc, run_copy_metrics)
image_v1, linear_v1, confusion_v1, confusion_props = next(repo_state)
html_path, json_result, split_json_result = call(capsys)
verify_image(
tmp_dir, "workspace", "image.png", b"content", html_path, json_result
)
verify_vega(
"workspace",
"linear.json",
["x", "y"],
linear_v1,
html_path,
json_result,
split_json_result,
)
verify_vega(
"workspace",
"confusion.json",
["actual", "predicted"],
confusion_v1,
html_path,
json_result,
split_json_result,
)
verify_vega_props("confusion.json", json_result, **confusion_props)
image_v2, linear_v2, confusion_v2, confusion_props = next(repo_state)
html_path, json_result, split_json_result = call(capsys, subcommand="diff")
verify_image(
tmp_dir, "workspace", "image.png", image_v2, html_path, json_result
)
verify_image(
tmp_dir, "HEAD", "image.png", image_v1, html_path, json_result
)
verify_vega(
["HEAD", "workspace"],
"linear.json",
["x", "y"],
linear_v2 + linear_v1,
html_path,
json_result,
split_json_result,
)
verify_vega(
["HEAD", "workspace"],
"confusion.json",
["actual", "predicted"],
confusion_v2 + confusion_v1,
html_path,
json_result,
split_json_result,
)
verify_vega_props("confusion.json", json_result, **confusion_props)
+3 -1
View File
@@ -205,6 +205,8 @@ def test_to_json_vega_split(mocker):
def test_to_json_image(mocker):
import os
image_renderer = mocker.MagicMock()
image_renderer.TYPE = "image"
image_renderer.datapoints = [
@@ -213,7 +215,7 @@ def test_to_json_image(mocker):
]
result = to_json(image_renderer)
assert result[0] == {
"url": image_renderer.datapoints[0].get(SRC_FIELD),
"url": os.path.abspath(image_renderer.datapoints[0].get(SRC_FIELD)),
REVISIONS_KEY: [image_renderer.datapoints[0].get(REVISION_FIELD)],
TYPE_KEY: image_renderer.TYPE,
}