diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..2e58123 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,49 @@ +name: CI + +on: + push: + pull_request: + release: + types: + - published + +env: + MINIMUM_PYTHON_VERSION: '3.10' + +jobs: + precommit: + runs-on: ubuntu-latest + steps: + - name: Install Python ${{ env.MINIMUM_PYTHON_VERSION }} + uses: actions/setup-python@v3 + with: + python-version: ${{ env.MINIMUM_PYTHON_VERSION }} + - uses: actions/checkout@v3 + - name: Install pre-commit + run: | + python -m pip install --upgrade pip + python -m pip install pre-commit virtualenv!=20.0.6 + pre-commit install + - name: Run static code inspections + run: pre-commit run --all-files + + + build: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ["3.11", "3.12"] + steps: + - uses: actions/checkout@v3 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v3 + with: + python-version: ${{ matrix.python-version }} + - name: Install dependencies + run: | + python -m pip install --upgrade pip + python -m pip install poetry + - name: Test with Poetry + run: | + poetry install -v + poetry run pytest -v diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..5e827fe --- /dev/null +++ b/.gitignore @@ -0,0 +1,133 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +env +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# Pycharm +.idea/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..4737e59 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,29 @@ +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.5.0 + hooks: + - id: check-docstring-first + - id: debug-statements + - id: end-of-file-fixer + - id: mixed-line-ending + - id: trailing-whitespace + - repo: https://github.com/pycqa/isort + rev: 5.12.0 + hooks: + - id: isort + - repo: https://github.com/ambv/black + rev: 23.9.1 + hooks: + - id: black + language: python + - repo: https://github.com/PyCQA/flake8 + rev: 6.1.0 + hooks: + - id: flake8 + language: python + additional_dependencies: + - flake8-bugbear + - pep8-naming + - flake8-docstrings + - mccabe + - yesqa diff --git a/LICENSE.md b/LICENSE.md new file mode 100644 index 0000000..56636d4 --- /dev/null +++ b/LICENSE.md @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2024 Radboud University Medical Center + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md new file mode 100644 index 0000000..11139d8 --- /dev/null +++ b/README.md @@ -0,0 +1,45 @@ +# CIRRUS Benchmark Suite + +A benchmark suite using Playwright to record and report metrics on realtime performance of the CIRRUS viewer on Grand-Challenge.org + +--- +[![CI](https://github.com/DIAGNijmegen/rse-cirrus-benchmark-suite/actions/workflows/ci.yml/badge.svg?branch=main)](https://github.com/DIAGNijmegen/rse-cirrus-benchmark-suite/actions/workflows/ci.yml/badge.svg?branch=main) + +## Install + +Install via Poetry: + +```shell +python -m pip install poetry +poetry install -v +``` + +## Configuration + +Benchmark is configured via the environment: use and `.env` file locally to configure things. + +| ENV | TYPE | Description | +| ------------- | ------------- | ------------- | +| DEBUG | TRUE/FALSE | Allow for headless execution | +| GRAND_CHALLENGE_USERNAME | String | Username to start a session on Grand-Challenge.org | +| GRAND_CHALLENGE_PASSWORD | String | Password to start a session on Grand-Challenge.org | +| SESSION_CREATE_URL | String (url) | Overwrite to configure the session creation URL, defaults to using viewer 'cirrus-staging' | + +Note: if the username or password is not provided and the DEBUG is enabled, the suite will prompt the user with a page to login on Grand-Challenge.org. + +Example .env: + +``` +DEBUG=TRUE +GRAND_CHALLENGE_USERNAME="JOHN DOE" +GRAND_CHALLENGE_PASSWORD="PASSWORD1" +SESSION_CREATE_URL="https://grand-challenge.org/viewers/cirrus-core/sessions/create/" +``` + +## Run + +After installing and/or configuring. Run the benchmark suite using: + +```shell +poetry run python cirrus_benchmark_suite/benchmark.py +``` diff --git a/cirrus_benchmark_suite/benchmark.py b/cirrus_benchmark_suite/benchmark.py new file mode 100644 index 0000000..bec3983 --- /dev/null +++ b/cirrus_benchmark_suite/benchmark.py @@ -0,0 +1,216 @@ +import statistics +from datetime import datetime + +from playwright.sync_api import expect, sync_playwright +from scipy.stats import norm + +from cirrus_benchmark_suite import evaluate +from cirrus_benchmark_suite.history import BenchmarkHistory +from cirrus_benchmark_suite.session import create_viewer_session, login +from cirrus_benchmark_suite.utils import ( + DEBUG, + Timer, + get_cirrus_version, + get_git_hash, + new_page, +) + +# Quick globals +offset_ms = None + + +def get_base_line_loading(ctx, n=10): + """Determine the baseline loading offset to base statistics on.""" + times = [] + for _ in range(n): + with Timer() as timer: + with new_page(ctx) as page: + page.goto("about:blank") + times.append(timer.elapsed_time) + + return statistics.mean(times), statistics.stdev(times) + + +def _format(metric): + return int(round(metric, 0)) + + +def _correct(metric): + if offset_ms is None: + raise RuntimeError("No offset ms for page loading has been calculated") + return _format(metric - offset_ms) + + +def gen_benchmark_metadata(page): + return { + "datetime": datetime.now().strftime("%Y-%m-%d %H:%M"), + "suite_git_commit": get_git_hash(), + "CIRRUS_version": get_cirrus_version(page), + } + + +def benchmark_reader_study(benchmarks, page, session_url): + reader_study_url = f"{session_url}reader-study/1e5946ed-46f8-4501-92fb-d85c91fa853c/?config=2077fa74-9976-415f-8772-06801eb3d3e3" + + with Timer() as timer: + page.goto(reader_study_url) + + # 1. Answer a question + expect( + page.get_by_role("button", name="Save and continue") + ).to_be_visible(timeout=30_000) + + # 2. View an image + expect(page.locator('[data-test="viewitem"]')).to_have_count(2) + + benchmarks["readerstudy.loading_first_case"] = _correct(timer.elapsed_time) + + # Wait 5 seconds to allow from some pre-loading + page.wait_for_timeout(5000) + + page.locator("#reader-study-switcher-next-button").click() + ok_button = page.get_by_role("button", name="Ok") + + with Timer() as timer: + ok_button.click() + + # 1. Case information + expect(page.get_by_text("This is friendly geezer")).to_be_visible() + + # 2. New image loaded + expect(page.locator('[data-test="viewitem"]')).to_have_count(1) + + benchmarks["readerstudy.navigate_to_second_case"] = _format( + timer.elapsed_time + ) # Note: not offsetting for page loading here + + +def benchmark_algorithm_job(benchmarks, page, session_url): + algorihm_job_url = f"{session_url}algorithm-job/82faf859-0d3d-4b6b-813c-804a86bd398c?config=e0114bc8-1f0c-4f9f-b921-6c8f1e1ef850" + with Timer() as timer: + page.goto(algorihm_job_url) + + # 1. View results + expect( + page.locator('[data-plugin-name="AlgorithmResultPlugin"]') + ).to_be_visible(timeout=20_000) + + # 2. View annotations + expect( + page.locator('[data-plugin-name="AnnotationListPlugin"]') + ).to_be_visible() + + # 3. View an image + expect(page.locator('[data-test="viewitem"]')).to_have_count(2) + + benchmarks["algorithmjob.loading"] = _correct(timer.elapsed_time) + + +def benchmark_archive_item(benchmarks, page, session_url): + archive_item_url = ( + f"{session_url}archive-item/72166e13-d52b-4fa8-ab3a-bea1e02d5bc4" + ) + with Timer() as timer: + page.goto(archive_item_url) + + # 1. View annotations + expect( + page.locator('[data-plugin-name="AnnotationListPlugin"]') + ).to_be_visible(timeout=20_000) + + # 2. View images + expect(page.locator('[data-test="viewitem"]')).to_have_count(4) + + benchmarks["archiveitem.loading"] = _correct(timer.elapsed_time) + + +def benchmark(ctx, session_url): + benchmarks = {} + + with new_page(ctx) as page: + benchmark_reader_study(benchmarks, page, session_url) + + with new_page(ctx) as page: + benchmark_algorithm_job(benchmarks, page, session_url) + + with new_page(ctx) as page: + benchmark_archive_item(benchmarks, page, session_url) + + return benchmarks + + +def setup(ctx): + with new_page(ctx) as page: + login(page) + + # Ensure a session is running + session_url = create_viewer_session(page) + + # Re-use page to get metdata + metadata = gen_benchmark_metadata(page) + + return session_url, metadata + + +def report(history, evaluation): + for column in history.metrics.columns: + print(f"## {column}") + if column not in evaluation.p_values: + print("Skipped: no new data point") + continue + print(f"### Runtime: {history.latest[column]}ms") + print(f"P-value: {evaluation.p_values[column]*100:0.3f}%") + print( + "\tProbability of getting this runtime under the assumption that it is from the reference distribution: a low value suggests an outlier." + ) + print( + f"Reference distribution (sample size={evaluation.n_history[column]}):" + ) + + mean = evaluation.means[column] + sem = evaluation.sem[column] + print(f"Average±SEM: {mean:0.0f}±{sem:0.0f}ms") + print(f"33rd Percentile: {norm.ppf(0.33, loc=mean, scale=sem):0.0f}ms") + print(f"66th Percentile: {norm.ppf(0.66, loc=mean, scale=sem):0.0f}ms") + print("\n---") + + +def test(): + with sync_playwright() as playwright: + browser = playwright.chromium.launch(headless=not DEBUG) + try: + ctx = browser.new_context() + + session_url, metadata = setup(ctx) + + global offset_ms + offset_ms, stdev_ms = get_base_line_loading(ctx) + print(f"Base-line page loading: {offset_ms:.0f}±{stdev_ms:.0f}ms") + + benchmarks = benchmark(ctx, session_url) + + history = BenchmarkHistory() + history.update_with( + { + **metadata, + **benchmarks, + } + ) + + eval = evaluate.evaluate(history.metrics) + + report(history, eval) + + finally: + ctx.close() + browser.close() + playwright = None + + +if __name__ == "__main__": + with Timer() as timer: + test() + runtime = timer.elapsed_time / 1000 + + print("Benchmarking finished!") + print(f"Total runtime: {runtime:0.1f} seconds") diff --git a/cirrus_benchmark_suite/evaluate.py b/cirrus_benchmark_suite/evaluate.py new file mode 100644 index 0000000..238e74c --- /dev/null +++ b/cirrus_benchmark_suite/evaluate.py @@ -0,0 +1,40 @@ +from typing import NamedTuple + +import numpy as np +import pandas as pd +import scipy.stats + + +class Evaluation(NamedTuple): + p_values: pd.Series + means: pd.Series + sem: pd.Series + n_history: int + + +def evaluate(metrics): + """ + Generates p_values and statistics based on the last row versus the rest. + + If the last row is missing, the column will be excluded in the + result. + """ + last_row = metrics.iloc[-1].astype(float) + history = metrics.iloc[:-1].astype(float) + + # Filter out missing values + missing = np.isnan(last_row) + last_row = last_row[~missing] + history = history.loc[:, ~missing] + + means = history.mean() + sem = history.sem() + + # Calculate the z-scores for the last row + z_scores = (last_row - means) / sem + + # Calculate the p-values based on the z-scores + # Use 2-tailed because we like to know if we speed things up significantly + p_values = z_scores.apply(lambda z: scipy.stats.norm.sf(abs(z)) * 2) + + return Evaluation(p_values, means, sem, n_history=history.count()) diff --git a/cirrus_benchmark_suite/history.py b/cirrus_benchmark_suite/history.py new file mode 100644 index 0000000..06729b8 --- /dev/null +++ b/cirrus_benchmark_suite/history.py @@ -0,0 +1,47 @@ +from pathlib import Path + +import pandas as pd + +DATA_DIR = Path("data") +STORE_PATH = DATA_DIR / "benchmarks.csv" + + +class BenchmarkHistory: + # Non metric columns + META_COLUMNS = {"id", "datetime", "suite_git_commit", "CIRRUS_version"} + + def __init__(self, source=STORE_PATH, target=STORE_PATH): + self.data_source = source + self.data_target = target + + self.reload() + + def update_with(self, metrics): + new_record = pd.DataFrame([metrics], index=[len(self.benchmarks)]) + self.benchmarks = pd.concat([self.benchmarks, new_record]) + + self._save() + self.reload() + + def _save(self): + self.data_target.parent.mkdir(parents=True, exist_ok=True) + self.benchmarks.to_csv(self.data_target, index_label="id") + + def reload(self): + if self.data_source and self.data_source.exists(): + df = pd.read_csv(self.data_source, index_col="id") + else: + df = pd.DataFrame() + + self.benchmarks = df + + @property + def latest(self): + return self.benchmarks.iloc[-1] + + @property + def metrics(self): + metric_columns = [ + c for c in self.benchmarks.columns if c not in self.META_COLUMNS + ] + return self.benchmarks[metric_columns] diff --git a/cirrus_benchmark_suite/session.py b/cirrus_benchmark_suite/session.py new file mode 100644 index 0000000..95de3ea --- /dev/null +++ b/cirrus_benchmark_suite/session.py @@ -0,0 +1,41 @@ +from cirrus_benchmark_suite.utils import DEBUG, getenv + + +def _manual_user_login(page): + print("Performing manual login") + page.get_by_text("Successfully signed in as").wait_for( + timeout=120_000, # 2 minutes + ) + + +def _automatic_user_login(page, username, password): + page.get_by_placeholder("Username or email").fill(username) + page.get_by_placeholder("Password").fill(password) + page.get_by_role("button", name="Sign In").click() + page.get_by_text("Successfully signed in as").wait_for() + + +def login(page): + page.goto("https://grand-challenge.org/accounts/login/") + try: + username = getenv("GRAND_CHALLENGE_USERNAME") + password = getenv("GRAND_CHALLENGE_PASSWORD") + except ValueError as e: + if DEBUG: + _manual_user_login(page) + else: + raise e + else: + _automatic_user_login(page, username, password) + + +def create_viewer_session(page): + session_create_url = ( + getenv("SESSION_CREATE_URL") + or "https://grand-challenge.org/viewers/cirrus-staging/sessions/create/" + ) + response = page.goto(session_create_url) + assert response.ok, "session creation started" + page.wait_for_url("**/cirrus/", timeout=30_000) + + return page.url diff --git a/cirrus_benchmark_suite/utils.py b/cirrus_benchmark_suite/utils.py new file mode 100644 index 0000000..a33d481 --- /dev/null +++ b/cirrus_benchmark_suite/utils.py @@ -0,0 +1,93 @@ +import contextlib +import os +import re +import subprocess +import time +from contextlib import ContextDecorator + +from dotenv import load_dotenv + +# Load environment variables from .env file +load_dotenv() + + +DEBUG = str(os.getenv("DEBUG", False)).lower() == "true" + +if DEBUG: + print("!! Running in DEBUG mode, benchmarks might be unreliable !!") + + +class Timer(ContextDecorator): + start_time = None + end_time = None + elapsed_time = None # ms + + def __enter__(self): + self.start_time = time.time() + return self + + def __exit__(self, *_, **__): + self.end_time = time.time() + self.elapsed_time = round((self.end_time - self.start_time) * 1000) + + +@contextlib.contextmanager +def new_page(ctx): + page = ctx.new_page() + yield page + page.close() + + +def getenv(name): + value = os.getenv(name) + if not value: + raise ValueError(f"No {name} environment variable provided") + return value + + +def get_git_hash(): + try: + return ( + subprocess.check_output(["git", "rev-parse", "HEAD"]) + .strip() + .decode("utf-8") + ) + except subprocess.CalledProcessError: + return None + + +def get_cirrus_version(page): + # Close the Error message + page.get_by_text("Close").click() + + # Navigate to the help and extract the version + page.get_by_role("button", name="Help").click() + + version_el = page.locator("li").filter(has_text=re.compile(r"^Version:")) + version_text = version_el.text_content() + + if version_text: + match = re.search(r"Version: (v\d+\.\d+\.\d+)", version_text) + if match: + return match.group(1) + + raise RuntimeError("Could not find CIRRUS version") + + +def generate_markdown_table(headers, rows): + # Create the header row + header_row = "| " + " | ".join(headers) + " |" + + # Create the separator row (for alignment) + separator_row = "| " + " | ".join(["---"] * len(headers)) + " |" + + # Create the data rows + data_rows = [] + for row in rows: + data_row = "| " + " | ".join(str(cell) for cell in row) + " |" + data_rows.append(data_row) + + # Combine all parts into the final markdown table + markdown_table = "\n".join([header_row, separator_row] + data_rows) + + return markdown_table diff --git a/data/benchmarks.csv b/data/benchmarks.csv new file mode 100644 index 0000000..8f81338 --- /dev/null +++ b/data/benchmarks.csv @@ -0,0 +1,37 @@ 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for benchmarking the timing performance of the CIRRUS viewer on Grand-Challenge.org" +authors = ["Chris van Run"] +license = "Apache License 2.0" +readme = "README.md" + +[tool.poetry.dependencies] +python = "^3.11" +playwright = "^1.45.1" +python-dotenv = "^1.0.1" +pandas = "^2.2.2" +scipy = "^1.14.0" + + +[tool.poetry.group.dev.dependencies] +pytest = "^8.3.2" +black = "23.9.1" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.isort] +profile = "black" +known_first_party = ["challenge-forge", "tests"] +line_length = 79 + +[tool.black] +line-length = 79 +target-version = ['py311'] diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 0000000..e8ca8d0 --- /dev/null +++ b/setup.cfg @@ -0,0 +1,16 @@ +[flake8] +ignore = + # D1 are public documentation checks + D1 + # D400 First line should end with a period, see D205 + D400 + # D401 First line should be in imperative mood, lots of false positives + D401 + # D202 No blank lines allowed after function docstring, conflicts with black + D202 + # D205 1 blank line required between summary line and description + D205 + # W503 is not PEP8 compliant (see black formatting) + W503 + # Length is covered by black + E501 diff --git a/tests/resources/benchmarks.csv b/tests/resources/benchmarks.csv new file mode 100644 index 0000000..5dfd42a --- /dev/null +++ b/tests/resources/benchmarks.csv @@ -0,0 +1,4 @@ +id,datetime,CIRRUS_version,readerstudy.loading_first_case,readerstudy.navigate_to_second_case,algorithmjob.loading,archiveitem.loading +0,2024-08-05,v0.0.5,100,100,100,100 +1,2024-08-06,v0.0.5,200,200,200,200 +2,2024-08-05,v0.0.5,300,300,300,300 diff --git a/tests/test_evaluate.py b/tests/test_evaluate.py new file mode 100644 index 0000000..977a860 --- /dev/null +++ b/tests/test_evaluate.py @@ -0,0 +1,50 @@ +import numpy as np +import pandas as pd + +from cirrus_benchmark_suite import evaluate + + +def test_evaluate_p_value(): + normal = [-4, -3, -2, -1, 0, 1, 2, 3, 4] + data = pd.DataFrame( + { + "A": [*normal, 10], + "B": [*normal, -10], + "C": [*normal, 0], + }, + ) + + eval = evaluate.evaluate(data) + + p_values = eval.p_values + + assert p_values["A"] < 0.05 # Well out of normal + assert p_values["A"] == p_values["B"] # Opposite side of the disturibution + assert p_values["C"] == 1.0 # Dead normal + + +def test_missing_value(): + normal = [-4, -3, -2, -1, 0, 1, 2, 3, 4] + data = pd.DataFrame( + { + "normal": [*normal, 0], + "missing_new": [*normal, np.nan], + "missing_some_history": [*normal[:-1], np.nan, 10], + "missing_all_history": [*([np.nan] * len(normal)), 10], + }, + ) + + eval = evaluate.evaluate(data) + + # Sanity + assert eval.p_values["normal"] == 1 + assert eval.means["normal"] == 0 + + assert not np.isnan(eval.p_values["missing_some_history"]) + assert eval.means["missing_some_history"] == -0.5 + + assert np.isnan(eval.p_values["missing_all_history"]) + assert np.isnan(eval.means["missing_all_history"]) + assert np.isnan(eval.sem["missing_all_history"]) + + assert "missing_new" not in eval.p_values diff --git a/tests/test_history.py b/tests/test_history.py new file mode 100644 index 0000000..95a1d54 --- /dev/null +++ b/tests/test_history.py @@ -0,0 +1,35 @@ +import os +from pathlib import Path + +from cirrus_benchmark_suite.history import BenchmarkHistory + +SCRIPT_DIR = Path(os.path.dirname(os.path.abspath(__file__))) +RESOURCE_PATH = SCRIPT_DIR / Path("resources") + + +def test_loading(): + history = BenchmarkHistory(source=RESOURCE_PATH / "benchmarks.csv") + bms = history.benchmarks + assert len(bms) == 3 + assert list(bms.index) == [0, 1, 2] + assert bms.index.name == "id" + + +def test_add(tmp_path): + save_target = Path(tmp_path) / "data" / "test.csv" + history = BenchmarkHistory(source=None, target=save_target) + history.update_with(dict(a_metric=1)) + + new_history = BenchmarkHistory(source=save_target) + + record = new_history.benchmarks.iloc[0] + assert record["a_metric"] == 1 + + +def test_metrics_only(): + history = BenchmarkHistory(source=RESOURCE_PATH / "benchmarks.csv") + metrics = history.metrics + + assert len(metrics) == 3 + assert list(metrics.index) == [0, 1, 2] + assert len(metrics.columns) == 4