diff --git a/.autorc b/.autorc new file mode 100644 index 0000000..209ff7d --- /dev/null +++ b/.autorc @@ -0,0 +1,92 @@ +{ + "plugins": [ + "git-tag", + "conventional-commits", + "first-time-contributor", + "released" + ], + "owner": "physiopy", + "repo": "physutils", + "name": "Stefano Moia", + "email": "s.moia@bcbl.eu", + "labels": [ + { + "name": "Majormod", + "changelogTitle": "💥 Breaking Change", + "description": "This PR breaks compatibility, and increments the major version (+1.0.0)", + "releaseType": "major", + "overwrite": true, + "color": "#05246d" + }, + { + "name": "Minormod", + "changelogTitle": "🚀 Enhancement", + "description": "This PR generally closes an `Enhancement` issue. It increments the minor version (0.+1.0)", + "releaseType": "minor", + "overwrite": true, + "color": "#05246d" + }, + { + "name": "Minormod-breaking", + "changelogTitle": "💥 Breaking Change during development", + "description": "For development only, this PR increments the minor version (0.+1.0) but breaks compatibility", + "releaseType": "minor", + "overwrite": true, + "color": "#05246d" + }, + { + "name": "BugFIX", + "changelogTitle": "🐛 Bug Fix", + "description": "This PR generally closes a `Bug` issue, and increments the patch version (0.0.+1)", + "releaseType": "patch", + "overwrite": true, + "color": "#d73a4a" + }, + { + "name": "Documentation", + "changelogTitle": "📝 Documentation", + "description": "This issue or PR is about the documentation ", + "releaseType": "none", + "overwrite": true, + "color": "#1D70CF" + }, + { + "name": "Testing", + "changelogTitle": "⚠️ Tests", + "description": "This is for testing features, writing tests or producing testing code", + "releaseType": "none", + "overwrite": true, + "color": "#ffb5b4" + }, + { + "name": "Internal", + "changelogTitle": "🏠 Internal", + "description": "Changes affect the internal API. It doesn't increase the version, but produces a changelog", + "releaseType": "none", + "overwrite": true, + "color": "#ffffff" + }, + { + "name": "Outreach", + "changelogTitle": "🖋️ Outreach", + "description": "Issue about outreaching of any form", + "releaseType": "none", + "overwrite": true, + "color": "#0e8a16" + }, + { + "name": "Skip release", + "description": "This PR preserves the current version when merged, and doesn't appear in the changelog", + "releaseType": "skip", + "overwrite": true, + "color": "#ffffff" + }, + { + "name": "Release", + "description": "For PR only, trigger a release at the merge", + "releaseType": "release", + "overwrite": true, + "color": "#FFFFFF" + } + ] +} diff --git a/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_BUGS.md b/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_BUGS.md new file mode 100644 index 0000000..bb21794 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_BUGS.md @@ -0,0 +1,34 @@ +--- +name: Bug issue +about: Use this template to report bugs. +title: '' +labels: Bug +assignees: +--- + + + +## Expected Behavior + + + +## Actual Behavior + + + + +## Steps to Reproduce the Problem + + + 1. + 2. + 3. + +## Specifications + + - Python version: + - peakdet version: + - Platform: + +## Possible solution + diff --git a/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_DISCUSSION.md b/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_DISCUSSION.md new file mode 100644 index 0000000..265dd0b --- /dev/null +++ b/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_DISCUSSION.md @@ -0,0 +1,27 @@ +--- +name: Discussion +about: Use this template to start a discussion issue, i.e. an issue meant to open a community debate over a topic +title: '' +labels: Discussion +assignees: '' +--- + + + +I'm opening this discussion because/I think that/I noticed that... + + + + +## Outstanding questions + + + + - + - + - diff --git a/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_FEATURE_REQUEST.md b/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_FEATURE_REQUEST.md new file mode 100644 index 0000000..6695ddd --- /dev/null +++ b/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_FEATURE_REQUEST.md @@ -0,0 +1,20 @@ +--- +name: Feature request +about: Use this template to request new features. +title: '' +labels: Enhancement +assignees: '' +--- + + + +## Detailed Description + + +## Context / Motivation + + + +## Possible Implementation + + diff --git a/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_GENERAL.md b/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_GENERAL.md new file mode 100644 index 0000000..957ba84 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/ISSUE_TEMPLATE_GENERAL.md @@ -0,0 +1,23 @@ +--- +name: General issue +about: Use this template for any issues not related to bugs or feature requests +title: '' +labels: +assignees: '' +--- + + + + +## Summary + + +## Additional detail + + +## Next Steps + + + * + * + * diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml new file mode 100644 index 0000000..5d5c0ac --- /dev/null +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -0,0 +1,4 @@ +contact_links: + - name: Usage question + url: https://neurostars.org/tag/physiopy + about: Please ask questions about using physiopy libraries here. diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 0000000..ec3eb96 --- /dev/null +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,40 @@ + + + +Closes # + + + + +## Proposed Changes + + - + - + - + +## Change Type + +- [ ] `bugfix` (+0.0.1) +- [ ] `minor` (+0.1.0) +- [ ] `major` (+1.0.0) +- [ ] `refactoring` (no version update) +- [ ] `test` (no version update) +- [ ] `infrastructure` (no version update) +- [ ] `documentation` (no version update) +- [ ] `other` + +## Checklist before review + + +- [ ] I added everything I wanted to add to this PR. +- [ ] \[Code or tests only\] I wrote/updated the necessary docstrings. +- [ ] \[Code or tests only\] I ran and passed tests locally. +- [ ] \[Documentation only\] I built the docs locally. +- [ ] My contribution is harmonious with the rest of the code: I'm not introducing repetitions. +- [ ] My code respects the adopted style, especially linting conventions. +- [ ] The title of this PR is explanatory on its own, enough to be understood as part of a changelog. +- [ ] I added or indicated the right labels. + +- [ ] I added information regarding the timeline of completion for this PR. + +- [ ] Please, comment on my PR while it's a draft and give me feedback on the development! diff --git a/.github/labeler.yml b/.github/labeler.yml new file mode 100644 index 0000000..9eb9bfe --- /dev/null +++ b/.github/labeler.yml @@ -0,0 +1,11 @@ +Documentation: + - changed-files: + - any-glob-to-any-file: ['docs/*', '.readthedocs.yml', 'README.md', 'LICENSE', 'MANIFEST.in'] + +Internal: + - changed-files: + - any-glob-to-any-file: ['.*', 'codecov.yml', 'setup.cfg', 'setup.py', 'versioneer.py', '.github/*', '.circleci/*', 'physutils/_version.py', 'requirements.txt', 'pyproject.toml'] + +Testing: + - changed-files: + - any-glob-to-any-file: ['physutils/tests/*', '.circleci/*'] diff --git a/.github/workflows/auto-author-assign.yml b/.github/workflows/auto-author-assign.yml new file mode 100644 index 0000000..8b102ae --- /dev/null +++ b/.github/workflows/auto-author-assign.yml @@ -0,0 +1,17 @@ +name: Auto Author Assign + +on: + issues: + types: [ opened, reopened ] + pull_request_target: + types: [ opened, reopened ] + +permissions: + pull-requests: write + issues: write + +jobs: + assign-author: + runs-on: ubuntu-latest + steps: + - uses: toshimaru/auto-author-assign@v2.1.0 diff --git a/.github/workflows/auto-label.yml b/.github/workflows/auto-label.yml new file mode 100644 index 0000000..a4c3f22 --- /dev/null +++ b/.github/workflows/auto-label.yml @@ -0,0 +1,15 @@ +name: auto-label +concurrency: + group: ${{ github.workflow }}-${{ github.event.number }}-${{ github.event.ref }} + cancel-in-progress: true +on: # yamllint disable-line rule:truthy + pull_request_target + +jobs: + pr: + permissions: + contents: read + pull-requests: write + runs-on: ubuntu-latest + steps: + - uses: actions/labeler@v5 diff --git a/.github/workflows/auto-release.yml b/.github/workflows/auto-release.yml new file mode 100644 index 0000000..e75c32d --- /dev/null +++ b/.github/workflows/auto-release.yml @@ -0,0 +1,43 @@ +# This workflows will create a release using auto when a PR is merged in master. + +name: Auto-release on PR merge + +on: + # ATM, this is the closest trigger to a PR merging + push: + branches: + - master + +jobs: + auto-release: + runs-on: ubuntu-22.04 + # Set skip ci to avoid loops + if: "!contains(github.event.head_commit.message, 'ci skip') && !contains(github.event.head_commit.message, 'skip ci')" + # Set bash as default shell for jobs + defaults: + run: + shell: bash + steps: + - name: Checkout source + uses: actions/checkout@v2 + with: + # Fetch all history for all branches and tags + fetch-depth: 0 + # Use token with write access to the repo + token: ${{ secrets.GH_TOKEN }} + - name: Download and install latest auto + env: + # OS can be linux, macos, or win + OS: linux + # Retrieve URL of latest auto, download it, unzip it, and give exec permissions. + run: | + curl -vkL -o - $( curl -s https://api.github.com/repos/intuit/auto/releases/latest \ + | grep browser_download_url | grep ${OS} | awk -F'"' '{print $4}') \ + | gunzip > ~/auto + chmod a+x ~/auto + - name: Create release without version prefix + env: + GITHUB_TOKEN: ${{ secrets.GH_TOKEN }} + # Run auto release, don't use 'v' prefix, and be verbose + run: | + ~/auto shipit --no-version-prefix -v diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml new file mode 100644 index 0000000..8e539a9 --- /dev/null +++ b/.github/workflows/python-publish.yml @@ -0,0 +1,32 @@ +# This workflows will upload a Python Package using Twine when a release is created +# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries + +name: Upload Python Package + +on: + release: + types: [created] + +jobs: + deploy: + + runs-on: ubuntu-22.04 + + steps: + - name: Checkout source + uses: actions/checkout@v2 + - name: Set up Python + uses: actions/setup-python@v2 + with: + python-version: '3.6' + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install setuptools wheel twine + - name: Build and publish + env: + TWINE_USERNAME: __token__ + TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }} + run: | + python setup.py sdist bdist_wheel + twine upload dist/* diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..4b61d6f --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,39 @@ +# See https://pre-commit.com for more information +# See https://pre-commit.com/hooks.html for more hooks +repos: +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.6.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-yaml + - id: check-added-large-files + - id: check-case-conflict + - id: check-merge-conflict +- repo: https://github.com/psf/black + rev: 24.4.2 + hooks: + - id: black +- repo: https://github.com/pycqa/isort + rev: 5.13.2 + hooks: + - id: isort +- repo: https://github.com/pycqa/flake8 + rev: 6.1.0 + hooks: + - id: flake8 +- repo: https://github.com/pycqa/pydocstyle + rev: 6.3.0 + hooks: + - id: pydocstyle +- repo: https://github.com/pre-commit/pygrep-hooks + rev: v1.10.0 + hooks: + - id: rst-backticks + - id: rst-directive-colons + - id: rst-inline-touching-normal +- repo: https://github.com/codespell-project/codespell + rev: v2.2.6 + hooks: + - id: codespell + args: ["-L", "trough,troughs"] diff --git a/physutils/__init__.py b/physutils/__init__.py index 74f4e66..4c73c3c 100644 --- a/physutils/__init__.py +++ b/physutils/__init__.py @@ -1,4 +1,16 @@ +__all__ = [ + "load_physio", + "save_physio", + "load_history", + "save_history", + "Physio", + "__version__", +] + +from physutils.io import load_history, load_physio, save_history, save_physio +from physutils.physio import Physio from ._version import get_versions -__version__ = get_versions()['version'] + +__version__ = get_versions()["version"] del get_versions diff --git a/physutils/_version.py b/physutils/_version.py index 9165774..3de4c92 100644 --- a/physutils/_version.py +++ b/physutils/_version.py @@ -1,4 +1,3 @@ - # This file helps to compute a version number in source trees obtained from # git-archive tarball (such as those provided by githubs download-from-tag # feature). Distribution tarballs (built by setup.py sdist) and build @@ -58,17 +57,18 @@ class NotThisMethod(Exception): def register_vcs_handler(vcs, method): # decorator """Decorator to mark a method as the handler for a particular VCS.""" + def decorate(f): """Store f in HANDLERS[vcs][method].""" if vcs not in HANDLERS: HANDLERS[vcs] = {} HANDLERS[vcs][method] = f return f + return decorate -def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, - env=None): +def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None): """Call the given command(s).""" assert isinstance(commands, list) p = None @@ -76,10 +76,13 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, try: dispcmd = str([c] + args) # remember shell=False, so use git.cmd on windows, not just git - p = subprocess.Popen([c] + args, cwd=cwd, env=env, - stdout=subprocess.PIPE, - stderr=(subprocess.PIPE if hide_stderr - else None)) + p = subprocess.Popen( + [c] + args, + cwd=cwd, + env=env, + stdout=subprocess.PIPE, + stderr=(subprocess.PIPE if hide_stderr else None), + ) break except EnvironmentError: e = sys.exc_info()[1] @@ -116,16 +119,22 @@ def versions_from_parentdir(parentdir_prefix, root, verbose): for i in range(3): dirname = os.path.basename(root) if dirname.startswith(parentdir_prefix): - return {"version": dirname[len(parentdir_prefix):], - "full-revisionid": None, - "dirty": False, "error": None, "date": None} + return { + "version": dirname[len(parentdir_prefix) :], + "full-revisionid": None, + "dirty": False, + "error": None, + "date": None, + } else: rootdirs.append(root) root = os.path.dirname(root) # up a level if verbose: - print("Tried directories %s but none started with prefix %s" % - (str(rootdirs), parentdir_prefix)) + print( + "Tried directories %s but none started with prefix %s" + % (str(rootdirs), parentdir_prefix) + ) raise NotThisMethod("rootdir doesn't start with parentdir_prefix") @@ -181,7 +190,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose): # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of # just "foo-1.0". If we see a "tag: " prefix, prefer those. TAG = "tag: " - tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)]) + tags = set([r[len(TAG) :] for r in refs if r.startswith(TAG)]) if not tags: # Either we're using git < 1.8.3, or there really are no tags. We use # a heuristic: assume all version tags have a digit. The old git %d @@ -190,7 +199,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose): # between branches and tags. By ignoring refnames without digits, we # filter out many common branch names like "release" and # "stabilization", as well as "HEAD" and "master". - tags = set([r for r in refs if re.search(r'\d', r)]) + tags = set([r for r in refs if re.search(r"\d", r)]) if verbose: print("discarding '%s', no digits" % ",".join(refs - tags)) if verbose: @@ -198,19 +207,26 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose): for ref in sorted(tags): # sorting will prefer e.g. "2.0" over "2.0rc1" if ref.startswith(tag_prefix): - r = ref[len(tag_prefix):] + r = ref[len(tag_prefix) :] if verbose: print("picking %s" % r) - return {"version": r, - "full-revisionid": keywords["full"].strip(), - "dirty": False, "error": None, - "date": date} + return { + "version": r, + "full-revisionid": keywords["full"].strip(), + "dirty": False, + "error": None, + "date": date, + } # no suitable tags, so version is "0+unknown", but full hex is still there if verbose: print("no suitable tags, using unknown + full revision id") - return {"version": "0+unknown", - "full-revisionid": keywords["full"].strip(), - "dirty": False, "error": "no suitable tags", "date": None} + return { + "version": "0+unknown", + "full-revisionid": keywords["full"].strip(), + "dirty": False, + "error": "no suitable tags", + "date": None, + } @register_vcs_handler("git", "pieces_from_vcs") @@ -225,8 +241,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): if sys.platform == "win32": GITS = ["git.cmd", "git.exe"] - out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, - hide_stderr=True) + out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True) if rc != 0: if verbose: print("Directory %s not under git control" % root) @@ -234,10 +249,19 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty] # if there isn't one, this yields HEX[-dirty] (no NUM) - describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty", - "--always", "--long", - "--match", "%s*" % tag_prefix], - cwd=root) + describe_out, rc = run_command( + GITS, + [ + "describe", + "--tags", + "--dirty", + "--always", + "--long", + "--match", + "%s*" % tag_prefix, + ], + cwd=root, + ) # --long was added in git-1.5.5 if describe_out is None: raise NotThisMethod("'git describe' failed") @@ -260,17 +284,16 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): dirty = git_describe.endswith("-dirty") pieces["dirty"] = dirty if dirty: - git_describe = git_describe[:git_describe.rindex("-dirty")] + git_describe = git_describe[: git_describe.rindex("-dirty")] # now we have TAG-NUM-gHEX or HEX if "-" in git_describe: # TAG-NUM-gHEX - mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe) + mo = re.search(r"^(.+)-(\d+)-g([0-9a-f]+)$", git_describe) if not mo: - # unparseable. Maybe git-describe is misbehaving? - pieces["error"] = ("unable to parse git-describe output: '%s'" - % describe_out) + # unparsable. Maybe git-describe is misbehaving? + pieces["error"] = "unable to parse git-describe output: '%s'" % describe_out return pieces # tag @@ -279,10 +302,12 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): if verbose: fmt = "tag '%s' doesn't start with prefix '%s'" print(fmt % (full_tag, tag_prefix)) - pieces["error"] = ("tag '%s' doesn't start with prefix '%s'" - % (full_tag, tag_prefix)) + pieces["error"] = "tag '%s' doesn't start with prefix '%s'" % ( + full_tag, + tag_prefix, + ) return pieces - pieces["closest-tag"] = full_tag[len(tag_prefix):] + pieces["closest-tag"] = full_tag[len(tag_prefix) :] # distance: number of commits since tag pieces["distance"] = int(mo.group(2)) @@ -293,13 +318,13 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): else: # HEX: no tags pieces["closest-tag"] = None - count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], - cwd=root) + count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root) pieces["distance"] = int(count_out) # total number of commits # commit date: see ISO-8601 comment in git_versions_from_keywords() - date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], - cwd=root)[0].strip() + date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[ + 0 + ].strip() pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1) return pieces @@ -330,8 +355,7 @@ def render_pep440(pieces): rendered += ".dirty" else: # exception #1 - rendered = "0+untagged.%d.g%s" % (pieces["distance"], - pieces["short"]) + rendered = "0+untagged.%d.g%s" % (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" return rendered @@ -445,11 +469,13 @@ def render_git_describe_long(pieces): def render(pieces, style): """Render the given version pieces into the requested style.""" if pieces["error"]: - return {"version": "unknown", - "full-revisionid": pieces.get("long"), - "dirty": None, - "error": pieces["error"], - "date": None} + return { + "version": "unknown", + "full-revisionid": pieces.get("long"), + "dirty": None, + "error": pieces["error"], + "date": None, + } if not style or style == "default": style = "pep440" # the default @@ -469,9 +495,13 @@ def render(pieces, style): else: raise ValueError("unknown style '%s'" % style) - return {"version": rendered, "full-revisionid": pieces["long"], - "dirty": pieces["dirty"], "error": None, - "date": pieces.get("date")} + return { + "version": rendered, + "full-revisionid": pieces["long"], + "dirty": pieces["dirty"], + "error": None, + "date": pieces.get("date"), + } def get_versions(): @@ -485,8 +515,7 @@ def get_versions(): verbose = cfg.verbose try: - return git_versions_from_keywords(get_keywords(), cfg.tag_prefix, - verbose) + return git_versions_from_keywords(get_keywords(), cfg.tag_prefix, verbose) except NotThisMethod: pass @@ -495,13 +524,16 @@ def get_versions(): # versionfile_source is the relative path from the top of the source # tree (where the .git directory might live) to this file. Invert # this to find the root from __file__. - for i in cfg.versionfile_source.split('/'): + for i in cfg.versionfile_source.split("/"): root = os.path.dirname(root) except NameError: - return {"version": "0+unknown", "full-revisionid": None, - "dirty": None, - "error": "unable to find root of source tree", - "date": None} + return { + "version": "0+unknown", + "full-revisionid": None, + "dirty": None, + "error": "unable to find root of source tree", + "date": None, + } try: pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose) @@ -515,6 +547,10 @@ def get_versions(): except NotThisMethod: pass - return {"version": "0+unknown", "full-revisionid": None, - "dirty": None, - "error": "unable to compute version", "date": None} + return { + "version": "0+unknown", + "full-revisionid": None, + "dirty": None, + "error": "unable to compute version", + "date": None, + } diff --git a/physutils/io.py b/physutils/io.py new file mode 100644 index 0000000..b6d460c --- /dev/null +++ b/physutils/io.py @@ -0,0 +1,258 @@ +# -*- coding: utf-8 -*- +""" +Functions for loading and saving data and analyses +""" + +import importlib +import json +import os.path as op + +import numpy as np +from loguru import logger + +from physutils import physio + +EXPECTED = ["data", "fs", "history", "metadata"] + + +def load_physio(data, *, fs=None, dtype=None, history=None, allow_pickle=False): + """ + Returns `Physio` object with provided data + + Parameters + ---------- + data : str or array_like or Physio_like + Input physiological data. If array_like, should be one-dimensional + fs : float, optional + Sampling rate of `data`. Default: None + dtype : data_type, optional + Data type to convert `data` to, if conversion needed. Default: None + history : list of tuples, optional + Functions that have been performed on `data`. Default: None + allow_pickle : bool, optional + Whether to allow loading if `data` contains pickled objects. Default: + False + + Returns + ------- + data: :class:`peakdet.Physio` + Loaded physiological data + + Raises + ------ + TypeError + If provided `data` is unable to be loaded + """ + + # first check if the file was made with `save_physio`; otherwise, try to + # load it as a plain text file and instantiate a history + if isinstance(data, str): + try: + inp = dict(np.load(data, allow_pickle=allow_pickle)) + for attr in EXPECTED: + try: + inp[attr] = inp[attr].dtype.type(inp[attr]) + except KeyError: + raise ValueError( + "Provided npz file {} must have all of " + "the following attributes: {}".format(data, EXPECTED) + ) + # fix history, which needs to be list-of-tuple + if inp["history"] is not None: + inp["history"] = list(map(tuple, inp["history"])) + except (IOError, OSError, ValueError): + inp = dict(data=np.loadtxt(data), history=[physio._get_call(exclude=[])]) + logger.debug("Instantiating Physio object from a file") + phys = physio.Physio(**inp) + # if we got a numpy array, load that into a Physio object + elif isinstance(data, np.ndarray): + logger.debug("Instantiating Physio object from numpy array") + if history is None: + logger.warning( + "Loading data from a numpy array without providing a" + "history will render reproducibility functions " + "useless! Continuing anyways." + ) + phys = physio.Physio(np.asarray(data, dtype=dtype), fs=fs, history=history) + # create a new Physio object out of a provided Physio object + elif isinstance(data, physio.Physio): + logger.debug( + "Instantiating a new Physio object from the provided Physio object" + ) + phys = physio.new_physio_like(data, data.data, fs=fs, dtype=dtype) + phys._history += [physio._get_call()] + else: + raise TypeError("Cannot load data of type {}".format(type(data))) + + # reset sampling rate, as requested + if fs is not None and fs != phys.fs: + if not np.isnan(phys.fs): + logger.warning( + "Provided sampling rate does not match loaded rate. " + "Resetting loaded sampling rate {} to provided {}".format(phys.fs, fs) + ) + phys._fs = fs + # coerce datatype, if needed + if dtype is not None: + phys._data = np.asarray(phys[:], dtype=dtype) + + return phys + + +def save_physio(fname, data): + """ + Saves `data` to `fname` + + Parameters + ---------- + fname : str + Path to output file; .phys will be appended if necessary + data : Physio_like + Data to be saved to file + + Returns + ------- + fname : str + Full filepath to saved output + """ + + from physutils.physio import check_physio + + data = check_physio(data) + fname += ".phys" if not fname.endswith(".phys") else "" + with open(fname, "wb") as dest: + hist = data.history if data.history != [] else None + np.savez_compressed( + dest, data=data.data, fs=data.fs, history=hist, metadata=data._metadata + ) + logger.info(f"Saved {data} in {fname}") + + return fname + + +def load_history(file, verbose=False): + """ + Loads history from `file` and replays it, creating new Physio instance + + Parameters + ---------- + file : str + Path to input JSON file + verbose : bool, optional + Whether to print messages as history is being replayed. Default: False + + Returns + ------- + file : str + Full filepath to saved output + """ + + # import inside function for safety! + # we'll likely be replaying some functions from within this module... + + # TODO: These will need to be imported in order to replay history from this module. Unless another way is found + # import peakdet + # import phys2denoise + pkg_str = "" + peakdet_imported = True + phys2denoise_imported = True + + try: + import peakdet # noqa + except ImportError: + peakdet_imported = False + pkg_str += "peakdet" + + try: + import phys2denoise # noqa + except ImportError: + phys2denoise_imported = False + if not peakdet_imported: + pkg_str += ", " + pkg_str += "phys2denoise" + + if not peakdet_imported or not phys2denoise_imported: + logger.warning( + f"The following packages are not installed: ({pkg_str}). " + "Note that loading history that uses those modules will not be possible" + ) + + # grab history from provided JSON file + with open(file, "r") as src: + history = json.load(src) + + # replay history from beginning and return resultant Physio object + logger.info(f"Replaying history from {file}") + data = None + for func, kwargs in history: + if verbose: + logger.info("Rerunning {}".format(func)) + # loading functions don't have `data` input because it should be the + # first thing in `history` (when the data was originally loaded!). + # for safety, check if `data` is None; someone could have potentially + # called load_physio on a Physio object (which is a valid, albeit + # confusing, thing to do) + if "load" in func and data is None: + if not op.exists(kwargs["data"]): + if kwargs["data"].startswith("/"): + msg = ( + "Perhaps you are trying to load a history file " + "that was generated with an absolute path?" + ) + else: + msg = ( + "Perhaps you are trying to load a history file " + "that was generated from a different directory?" + ) + raise FileNotFoundError( + "{} does not exist. {}".format(kwargs["data"], msg) + ) + name_parts = func.split(".") + func = name_parts[-1] + module_name = ".".join(name_parts[:-1]) + module_object = importlib.import_module(module_name) + data = getattr(module_object, func)(**kwargs) + else: + name_parts = func.split(".") + func = name_parts[-1] + module_name = ".".join(name_parts[:-1]) + module_object = importlib.import_module(module_name) + data = getattr(module_object, func)(data, **kwargs) + + return data + + +def save_history(file, data): + """ + Saves history of physiological `data` to `file` + + Saved file can be replayed with `peakdet.load_history` + + Parameters + ---------- + file : str + Path to output file; .json will be appended if necessary + data : Physio_like + Data with history to be saved to file + + Returns + ------- + file : str + Full filepath to saved output + """ + + from physutils.physio import check_physio + + data = check_physio(data) + if len(data.history) == 0: + logger.warning( + "History of provided Physio object is empty. Saving " + "anyway, but reloading this file will result in an " + "error." + ) + file += ".json" if not file.endswith(".json") else "" + with open(file, "w") as dest: + json.dump(data.history, dest, indent=4) + logger.info(f"Saved {data} history in {file}") + + return file diff --git a/physutils/physio.py b/physutils/physio.py new file mode 100644 index 0000000..a0dc577 --- /dev/null +++ b/physutils/physio.py @@ -0,0 +1,544 @@ +# -*- coding: utf-8 -*- +""" +Helper class for holding physiological data and associated metadata information +""" + +import inspect +from functools import wraps + +import matplotlib.pyplot as plt +import numpy as np +from loguru import logger + + +def make_operation(*, exclude=None): + """ + Wrapper to make functions into Physio operations + + Wrapped functions should accept a :class:`peakdet.Physio` instance, `data`, + as their first parameter, and should return a :class:`peakdet.Physio` + instance + + Parameters + ---------- + exclude : list, optional + What function parameters to exclude from being stored in history. + Default: 'data' + """ + + def get_call(func): + @wraps(func) + def wrapper(data, *args, **kwargs): + # exclude 'data', by default + ignore = ["data"] if exclude is None else exclude + + # set name as the full module function name + name = inspect.getmodule(func).__name__ + "." + func.__name__ + # name = func.__name__ + + # grab parameters from `func` by binding signature + sig = inspect.signature(func) + params = sig.bind(data, *args, **kwargs).arguments + + # actually run function on data + data = func(data, *args, **kwargs) + + # it shouldn't be, but don't bother appending to history if it is + if data is None: + return data + + # get parameters and sort by key name, dropping ignored items and + # attempting to coerce any numpy arrays or pandas dataframes (?!) + # into serializable objects; this isn't foolproof but gets 80% of + # the way there + provided = {k: params[k] for k in sorted(params.keys()) if k not in ignore} + for k, v in provided.items(): + if hasattr(v, "tolist"): + provided[k] = v.tolist() + + # append everything to data instance history + if isinstance(data, tuple): + data[0]._history += [(name, provided)] + else: + data._history += [(name, provided)] + + return data + + return wrapper + + return get_call + + +def _get_call(*, exclude=None, serializable=True): + """ + Returns calling function name and dict of provided arguments (name : value) + + Parameters + ---------- + exclude : list, optional + What arguments to exclude from provided argument : value dictionary. + Default: ['data'] + serializable : bool, optional + Whether to coerce argument values to JSON serializable form. Default: + True + + Returns + ------- + function: str + Name of calling function + provided : dict + Dictionary of function arguments and provided values + """ + + exclude = ["data"] if exclude is None else exclude + if not isinstance(exclude, list): + exclude = [exclude] + + # get one function call up the stack (the bottom is _this_ function) + calling = inspect.stack(0)[1] + frame, function = calling.frame, calling.function + + # get all the args / kwargs from the calling function + argspec = inspect.getfullargspec(frame.f_globals[function]) + args = sorted(argspec.args + argspec.kwonlyargs) + + # save arguments + argument values for everything not in `exclude` + provided = {k: frame.f_locals[k] for k in args if k not in exclude} + + # if we want `provided` to be serializable, we can do a little cleaning up + # this is NOT foolproof, but will coerce numpy arrays to lists which tends + # to be the main issue with these sorts of things + if serializable: + for k, v in provided.items(): + if hasattr(v, "tolist"): + provided[k] = v.tolist() + + function = inspect.getmodule(frame).__name__ + "." + function + + return function, provided + + +def check_physio(data, ensure_fs=True, copy=False): + """ + Checks that `data` is in correct format (i.e., `peakdet.Physio`) + + Parameters + ---------- + data : Physio_like + ensure_fs : bool, optional + Raise ValueError if `data` does not have a valid sampling rate + attribute. + copy: bool, optional + Whether to return a copy of the provided data. Default: False + + Returns + ------- + data : peakdet.Physio + Loaded physio object + + Raises + ------ + ValueError + If `ensure_fs` is set and `data` doesn't have valid sampling rate + """ + + from physutils.io import load_physio + + if not isinstance(data, Physio): + data = load_physio(data) + if ensure_fs and np.isnan(data.fs): + raise ValueError("Provided data does not have valid sampling rate.") + if copy is True: + return new_physio_like( + data, + data.data, + copy_history=True, + copy_metadata=True, + copy_suppdata=True, + copy_label=True, + copy_physio_type=True, + copy_computed_metrics=True, + ) + return data + + +def new_physio_like( + ref_physio, + data, + *, + fs=None, + suppdata=None, + dtype=None, + copy_history=True, + copy_metadata=True, + copy_suppdata=True, + copy_label=True, + copy_physio_type=True, + copy_computed_metrics=True, +): + """ + Makes `data` into physio object like `ref_data` + + Parameters + ---------- + ref_physio : Physio_like + Reference `Physio` object + data : array_like + Input physiological data + fs : float, optional + Sampling rate of `data`. If not supplied, assumed to be the same as + in `ref_physio` + suppdata : array_like, optional + New supplementary data. If not supplied, assumed to be the same. + dtype : data_type, optional + Data type to convert `data` to, if conversion needed. Default: None + copy_history : bool, optional + Copy history from `ref_physio` to new physio object. Default: True + copy_metadata : bool, optional + Copy metadata from `ref_physio` to new physio object. Default: True + copy_suppdata : bool, optional + Copy suppdata from `ref_physio` to new physio object. Default: True + copy_label : bool, optional + Copy label from `ref_physio` to new physio object. Default: True + copy_physio_type : bool, optional + Copy physio_type from `ref_physio` to new physio object. Default: True + copy_computed_metrics : bool, optional + Copy computeed_metrics from `ref_physio` to new physio object. Default: True + + Returns + ------- + data : peakdet.Physio + Loaded physio object with provided `data` + """ + + if fs is None: + fs = ref_physio.fs + if dtype is None: + dtype = ref_physio.data.dtype + history = list(ref_physio.history) if copy_history else [] + metadata = dict(**ref_physio._metadata) if copy_metadata else None + + if suppdata is None: + suppdata = ref_physio._suppdata if copy_suppdata else None + + label = ref_physio.label if copy_label else None + physio_type = ref_physio.physio_type if copy_physio_type else None + computed_metrics = list(ref_physio.computed_metrics) if copy_computed_metrics else [] + + # make new class + out = ref_physio.__class__( + np.array(data, dtype=dtype), + fs=fs, + history=history, + metadata=metadata, + suppdata=suppdata, + physio_type=physio_type, + label=label, + ) + out._computed_metrics = computed_metrics + return out + + +class Physio: + """ + Class to hold physiological data and relevant information + + Parameters + ---------- + data : array_like + Input data array + fs : float, optional + Sampling rate of `data` (Hz). Default: None + history : list of tuples, optional + Functions performed on `data`. Default: None + metadata : dict, optional + Metadata associated with `data`. Default: None + suppdata : array_like, optional + Support data array. Default: None + + Attributes + ---------- + data : :obj:`numpy.ndarray` + Physiological waveform + fs : float + Sampling rate of `data` in Hz + history : list of tuples + History of functions that have been performed on `data`, with relevant + parameters provided to functions. + peaks : :obj:`numpy.ndarray` + Indices of peaks in `data` + troughs : :obj:`numpy.ndarray` + Indices of troughs in `data` + suppdata : :obj:`numpy.ndarray` + Secondary physiological waveform + physio_type : {'respiratory', 'cardiac', None} + Type of the contained physiological signal. Default: None + label : string + Label of the physiological signal + """ + + def __init__( + self, + data, + fs=None, + history=None, + metadata=None, + suppdata=None, + physio_type=None, + label=None, + ): + _supported_physio_types = ["respiratory", "cardiac", None] + logger.debug("Initializing new Physio object") + self._data = np.asarray(data).squeeze() + if self.data.ndim > 1: + raise ValueError( + "Provided data dimensionality {} > 1.".format(self.data.ndim) + ) + + if not np.issubdtype(self.data.dtype, np.number): + raise ValueError( + "Provided data of type {} is not numeric.".format(self.data.dtype) + ) + self._fs = np.float64(fs) + self._physio_type = None if physio_type is None else physio_type + if self.physio_type not in _supported_physio_types: + raise ValueError( + "Provided physiological signal type {} is not supported. It must be in {}".format( + self.physio_type, _supported_physio_types + ) + ) + + self._label = label + self._history = [] if history is None else history + if not isinstance(self._history, list) or any( + [not isinstance(f, tuple) for f in self._history] + ): + raise TypeError( + "Provided history {} must be a list-of-tuples. " + "Please check inputs.".format(history) + ) + if metadata is not None: + if not isinstance(metadata, dict): + raise TypeError( + "Provided metadata {} must be dict-like.".format(metadata) + ) + for k in ["peaks", "troughs", "reject"]: + metadata.setdefault(k, np.empty(0, dtype=int)) + if not isinstance(metadata.get(k), np.ndarray): + try: + metadata[k] = np.asarray(metadata.get(k), dtype=int) + except TypeError: + raise TypeError( + "Provided metadata must be dict-like" + "with integer array entries." + ) + self._metadata = dict(**metadata) + else: + self._metadata = dict( + peaks=np.empty(0, dtype=int), + troughs=np.empty(0, dtype=int), + reject=np.empty(0, dtype=int), + ) + self._suppdata = None if suppdata is None else np.asarray(suppdata).squeeze() + self._computed_metrics = [] + + def __array__(self): + return self.data + + def __getitem__(self, slicer): + return self.data[slicer] + + def __len__(self): + return len(self.data) + + def __str__(self): + return "{name}(size={size}, fs={fs})".format( + name=self.__class__.__name__, size=self.data.size, fs=self.fs + ) + + __repr__ = __str__ + + @property + def data(self): + """Physiological data""" + return self._data + + @property + def fs(self): + """Sampling rate of data (Hz)""" + return self._fs + + @property + def history(self): + """Functions that have been performed on / modified `data`""" + return self._history + + @property + def peaks(self): + """Indices of detected peaks in `data`""" + return self._masked.compressed() + + @property + def troughs(self): + """Indices of detected troughs in `data`""" + return self._metadata["troughs"] + + @property + def _masked(self): + return np.ma.masked_array( + self._metadata["peaks"], + mask=np.isin(self._metadata["peaks"], self._metadata["reject"]), + ) + + @property + def suppdata(self): + """Physiological data""" + return self._suppdata + + @property + def label(self): + """Physio instance label""" + return self._label + + @property + def physio_type(self): + """Physiological signal type""" + return self._physio_type + + @property + def computed_metrics(self): + """Physio object computed metrics (phys2denoise)""" + return self._computed_metrics + + def plot_physio(self, *, ax=None): + """ + Plots `Physio.data` and associated peaks / troughs + + Parameters + ---------- + data : Physio_like + Physiological data to plot + ax : :class:`matplotlib.axes.Axes`, optional + Axis on which to plot `data`. If None, a new axis is created. Default: + None + + Returns + ------- + ax : :class:`matplotlib.axes.Axes` + Axis with plotted `Physio.data` + """ + logger.debug(f"Plotting {self.label}") + # generate x-axis time series + fs = 1 if np.isnan(self.fs) else self.fs + time = np.arange(0, len(self) / fs, 1 / fs) + if ax is None: + fig, ax = plt.subplots(1, 1) + # plot data with peaks + troughs, as appropriate + ax.plot( + time, + self.data, + "b", + time[self.peaks], + self[self.peaks], + ".r", + time[self.troughs], + self[self.troughs], + ".g", + ) + + return ax + + def phys2neurokit( + self, copy_data, copy_peaks, copy_troughs, module, neurokit_path=None + ): + """Physio to neurokit dataframe + + Parameters + ---------- + copy_data: bool + whether to copy raw data from Physio object to dataframe + copy_peaks: bool + whether to copy peaks from Physio object to dataframe + copy_troughs: bool + whether to copy troughs from Physio object to dataframe + module: string + name of module (eg. 'EDA', 'RSP', 'PPG'...) + neurokit_path: string + path to neurokit dataframe + """ + import pandas as pd + + if neurokit_path is not None: + df = pd.read_csv(neurokit_path, sep="\t") + else: + df = pd.DataFrame( + 0, + index=np.arange(len(self.data)), + columns=["%s_Raw" % module, "%s_Peaks" % module, "%s_Troughs" % module], + ) + + if copy_data: + df.loc[:, df.columns.str.endswith("Raw")] = self.data + + if copy_peaks: + b_peaks = np.zeros(len(self.data)) + b_peaks[self.peaks] = 1 + df.loc[:, df.columns.str.endswith("Peaks")] = b_peaks + + if copy_troughs: + b_troughs = np.zeros(len(self.data)) + b_troughs[self.troughs] = 1 + df.loc[:, df.columns.str.endswith("Troughs")] = b_troughs + + return df + + @classmethod + def neurokit2phys( + cls, neurokit_path, fs, copy_data, copy_peaks, copy_troughs, **kwargs + ): + """Neurokit dataframe to phys + + Parameters + ---------- + neurokit_path: string + path to neurokit dataframe + fs: float + sampling rate + copy_data: bool + whether to copy raw data from Physio object to dataframe + copy_peaks: bool + whether to copy peaks from Physio object to dataframe + copy_troughs: bool + whether to copy troughs from Physio object to dataframe + suppdata: array_like, optional + Support data array. Default: None + """ + import pandas as pd + + df = pd.read_csv(neurokit_path, sep="\t") + + if copy_data: + # if cleaned data exists, substitute 'data' with cleaned data, else use raw data + if df.columns.str.endswith("Clean").any(): + data = np.hstack(df.loc[:, df.columns.str.endswith("Clean")].to_numpy()) + elif df.columns.str.endswith("Raw").any(): + data = np.hstack(df.loc[:, df.columns.str.endswith("Raw")].to_numpy()) + + if copy_peaks: + # if peaks exists + if df.columns.str.endswith("Peaks").any(): + peaks = np.where(df.loc[:, df.columns.str.endswith("Peaks")] == 1)[0] + + if copy_troughs: + # if troughs exists + if df.columns.str.endswith("Troughs").any(): + troughs = np.where(df.loc[:, df.columns.str.endswith("Troughs")] == 1)[ + 0 + ] + + if "peaks" in locals() and "troughs" in locals(): + metadata = dict(peaks=peaks, troughs=troughs) + elif "peaks" in locals() and "troughs" not in locals(): + metadata = dict(peaks=peaks) + + return cls(data, fs=fs, metadata=metadata, **kwargs) diff --git a/physutils/physio_obj.py b/physutils/physio_obj.py deleted file mode 100644 index ca29fba..0000000 --- a/physutils/physio_obj.py +++ /dev/null @@ -1,453 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- - -""" -I/O objects for the physiopy suite. -""" - -import logging - -import numpy as np - -LGR = logging.getLogger(__name__) - - -def is_valid(var, var_type, list_type=None): - """ - Checks that the var is of a certain type. - If type is list and list_type is specified, - checks that the list contains list_type. - - Parameters - ---------- - var: any type - Variable to be checked. - var_type: type - Type the variable is assumed to be. - list_type: type - Like var_type, but applies to list elements. - - Returns - ------- - var: any type - Variable to be checked (same as input). - - Raises - ------ - AttributeError - If var is not of var_type - """ - if not isinstance(var, var_type): - raise AttributeError(f'The given variable is not a {var_type}') - - if var_type is list and list_type is not None: - for element in var: - _ = is_valid(element, list_type) - - return var - - -def has_size(var, data_size, token): - """ - Checks that the var has the same dimension of the data - If it's not the case, fill in the var or removes exceding var entry. - - Parameters - ---------- - var: list - Variable to be checked. - data_size: int - Size of data of interest. - token: same type as `var` - If `var` doesn't have as many elements as the data_size, - it will be padded at the end with this `token`. - It has to be the same type as var. - - Returns - ------- - var: list - Variable to be checked (same as input). - """ - if len(var) > data_size: - var = var[:data_size] - - if len(var) < data_size: - _ = is_valid(token, type(var[0])) - var = var + [token] * (data_size - len(var)) - - return var - - -class BlueprintInput(): - """ - Main input object for phys2bids. - Contains the blueprint to be populated. - !!! Pay attention: there's rules on how to populate this object. - See below ("Attention") !!! - - Attributes - ---------- - timeseries : (ch, [tps]) list - List of numpy 1d arrays - one for channel, plus one for time. - Time channel has to be the first, trigger the second. - Contains all the timeseries recorded. - Supports different frequencies! - freq : (ch) list of floats - List of floats - one per channel. - Contains all the frequencies of the recorded channel. - Support different frequencies! - ch_name : (ch) list of strings - List of names of the channels - can be the header of the columns - in the output files. - units : (ch) list of strings - List of the units of the channels. - num_timepoints_found: int - Amount of timepoints found in the automatic count. - This is computed internally, *if* check_trigger_amount() is run - - Methods - ------- - ch_amount: - Property. Returns number of channels (ch). - rename_channels: - Changes the list "ch_name" in a controlled way. - return_index: - Returns the proper list entry of all the - properties of the object, given an index. - delete_at_index: - Returns all the proper list entry of the - properties of the object, given an index. - check_trigger_amount: - Counts the amounts of triggers and corrects time offset - in "time" ndarray. Also adds property ch_amount. - - Notes - ----- - The timeseries (and as a consequence, all the other properties) - should start with an entry for time and an entry for trigger. - Both should have the same length - hence same sampling. Meaning: - - timeseries[0] → ndarray representing time - - timeseries[1] → ndarray representing trigger - - timeseries[0].shape == timeseries[1].shape - - As a consequence: - - freq[0] == freq[1] - - ch_name[0] = 'time' - - ch_name[1] = 'trigger' - - units[0] = 's' - - Actual number of channels (ANC) +1 <= ch_amount <= ANC +2 - """ - def __init__(self, timeseries, freq, ch_name, units): - self.timeseries = is_valid(timeseries, list, list_type=np.ndarray) - self.freq = has_size(is_valid(freq, list, - list_type=(int, float)), - self.ch_amount, 0.0) - self.ch_name = has_size(ch_name, self.ch_amount, 'unknown') - self.units = has_size(units, self.ch_amount, '[]') - - @property - def ch_amount(self): - """ - Property. Returns number of channels (ch). - - Returns - ------- - int - Number of channels - """ - return len(self.timeseries) - - def rename_channels(self, new_names, ch_trigger=None): - """ - Renames the channels. If 'time' or 'trigger' were specified, - it makes sure that they're the first and second entry. - - Parameters - ---------- - new_names: list of str - New names for channels. - ch_trigger: - Number of the channel containing the trigger. - - Notes - ----- - Outcome: - self.ch_name: list of str - Changes content to new_name. - """ - if 'time' in new_names: - del new_names[new_names.index('time')] - - new_names = ['time', ] + new_names - - self.ch_name = has_size(is_valid(new_names, list, list_type=str), - self.ch_amount, 'unknown') - - def return_index(self, idx): - """ - Returns the proper list entry of all the - properties of the object, given an index. - - Parameters - ---------- - idx: int - Index of elements to return - - Returns - ------- - out: tuple - Tuple containing the proper list entry of all the - properties of the object with index `idx` - """ - return (self.timeseries[idx], self.ch_amount, self.freq[idx], - self.ch_name[idx], self.units[idx]) - - def delete_at_index(self, idx): - """ - Returns all the proper list entry of the - properties of the object, given an index. - - Parameters - ---------- - idx: int or range - Index of elements to delete from all lists - - Notes - ----- - Outcome: - self.timeseries: - Removes element at index idx - self.freq: - Removes element at index idx - self.ch_name: - Removes element at index idx - self.units: - Removes element at index idx - self.ch_amount: - In all the property that are lists, the element correspondent to - `idx` gets deleted - """ - del self.timeseries[idx] - del self.freq[idx] - del self.ch_name[idx] - del self.units[idx] - - def check_trigger_amount(self, chtrig=1, thr=2.5, num_timepoints_expected=0, tr=0): - """ - Counts trigger points and corrects time offset in - the list representing time. - - Parameters - ---------- - thr: float - Threshold to be used to detect trigger points. - Default is 2.5 - num_timepoints_expected: int - Number of expected triggers (num of TRs in fMRI) - tr: float - The Repetition Time of the fMRI data. - - Notes - ----- - Outcome: - self.num_timepoints_found: int - Property of the `BlueprintInput` class. - Contains the number of timepoints found - with the automatic estimation. - self.timeseries: - The property `timeseries` is shifted with the 0 being - the time of first trigger. - """ - LGR.info('Counting trigger points') - # Use first derivative of the trigger channel to find the TRs, - # comparing it to a given threshold. - trigger_deriv = np.diff(self.timeseries[chtrig]) - timepoints = trigger_deriv > thr - num_timepoints_found = timepoints.sum() - time_offset = self.timeseries[0][timepoints.argmax()] - - if num_timepoints_expected: - LGR.info('Checking number of timepoints') - if num_timepoints_found > num_timepoints_expected: - timepoints_extra = (num_timepoints_found - - num_timepoints_expected) - LGR.warning(f'Found {timepoints_extra} timepoints' - ' more than expected!\n' - 'Assuming extra timepoints are at the end ' - '(try again with a more liberal thr)') - - elif num_timepoints_found < num_timepoints_expected: - timepoints_missing = (num_timepoints_expected - - num_timepoints_found) - LGR.warning(f'Found {timepoints_missing} timepoints' - ' less than expected!') - if tr: - LGR.warning('Correcting time offset, assuming missing ' - 'timepoints are at the beginning (try again ' - 'with a more conservative thr)') - time_offset -= (timepoints_missing * tr) - else: - LGR.warning('Can\'t correct time offset - you should ' - 'specify the TR') - - else: - LGR.info('Found just the right amount of timepoints!') - - else: - LGR.warning('The necessary options to find the amount of timepoints ' - 'were not provided.') - - self.timeseries[0] -= time_offset - self.num_timepoints_found = num_timepoints_found - - def print_info(self, filename): - """ - Print info on the file, channel by channel. - - Parameters - ---------- - filename: str or path - Name of the input file to phys2bids - - Notes - ----- - Outcome: - ch: - Returns to stdout (e.g. on screen) channels, - their names and their sampling rate. - """ - info = (f'\n------------------------------------------------' - f'\nFile {filename} contains:\n') - for ch in range(1, self.ch_amount): - info = info + (f'{ch:02d}. {self.ch_name[ch]};' - f' sampled at {self.freq[ch]} Hz\n') - info = info + f'------------------------------------------------\n' - - LGR.info(info) - - -class BlueprintOutput(): - """ - Main output object for phys2bids. - Contains the blueprint to be exported. - - Attributes - ---------- - timeseries : (ch x tps) :obj:`numpy.ndarray` - Numpy 2d array of timeseries - Contains all the timeseries recorded. - Impose same frequency! - freq : float - Shared frequency of the object. - Properties - ch_name : (ch) list of strings - List of names of the channels - can be the header of the columns - in the output files. - units : (ch) list of strings - List of the units of the channels. - start_time : float - Starting time of acquisition (equivalent to first TR, - or to the opposite sign of the time offset). - - Methods - ------- - ch_amount: - Property. Returns number of channels (ch). - return_index: - Returns the proper list entry of all the - properties of the object, given an index. - delete_at_index: - Returns all the proper list entry of the - properties of the object, given an index. - init_from_blueprint: - method to populate from input blueprint instead of init - """ - def __init__(self, timeseries, freq, ch_name, units, start_time): - self.timeseries = is_valid(timeseries, np.ndarray) - self.freq = is_valid(freq, (int, float)) - self.ch_name = has_size(ch_name, self.ch_amount, 'unknown') - self.units = has_size(units, self.ch_amount, '[]') - self.start_time = start_time - - @property - def ch_amount(self): - """ - Property. Returns number of channels (ch). - - Returns - ------- - int - Number of channels - """ - return len(self.timeseries) - - def return_index(self, idx): - """ - Returns all the proper list entry of the - properties of the object, given an index. - - Parameters - ---------- - idx: int - Index of elements to return - - Returns - ------- - out: tuple - Tuple containing the proper list entry of all the - properties of the object with index `idx` - """ - return (self.timeseries[idx], self.ch_amount, self.freq, - self.ch_name[idx], self.units[idx], self.start_time) - - def delete_at_index(self, idx): - """ - Returns all the proper list entry of the - properties of the object, given an index. - - Parameters - ---------- - idx: int or range - Index of elements to delete from all lists - - Notes - ----- - Outcome: - self.timeseries: - Removes element at index idx - self.ch_name: - Removes element at index idx - self.units: - Removes element at index idx - self.ch_amount: - In all the property that are lists, the element correspondent to - `idx` gets deleted - """ - self.timeseries = np.delete(self.timeseries, idx, axis=0) - del self.ch_name[idx] - del self.units[idx] - - @classmethod - def init_from_blueprint(cls, blueprint): - """ - Method to populate the output blueprint using BlueprintInput. - - Parameters - ---------- - cls: :obj: `BlueprintOutput` - The object on which to operate - blueprint: :obj: `BlueprintInput` - The input blueprint object. - !!! All its frequencies should be the same !!! - - Returns - ------- - cls: :obj: `BlueprintOutput` - Populated `BlueprintOutput` object. - """ - timeseries = np.asarray(blueprint.timeseries) - freq = blueprint.freq[0] - ch_name = blueprint.ch_name - units = blueprint.units - start_time = timeseries[0, 0] - return cls(timeseries, freq, ch_name, units, start_time) diff --git a/physutils/tests/conftest.py b/physutils/tests/conftest.py new file mode 100644 index 0000000..273030e --- /dev/null +++ b/physutils/tests/conftest.py @@ -0,0 +1,16 @@ +import pytest +from _pytest.logging import LogCaptureFixture +from loguru import logger + + +@pytest.fixture +def caplog(caplog: LogCaptureFixture): + handler_id = logger.add( + caplog.handler, + format="{message}", + level=20, + filter=lambda record: record["level"].no >= caplog.handler.level, + enqueue=False, + ) + yield caplog + logger.remove(handler_id) diff --git a/physutils/tests/data/ECG.csv b/physutils/tests/data/ECG.csv new file mode 100644 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-*- + +import json +import os + +import numpy as np +import pytest + +from physutils import io, physio +from physutils.tests.utils import filter_physio, get_test_data_path + + +def test_load_physio(caplog): + # try loading pickle file (from io.save_physio) + pckl = io.load_physio(get_test_data_path("ECG.phys"), allow_pickle=True) + assert isinstance(pckl, physio.Physio) + assert pckl.data.size == 44611 + assert pckl.fs == 1000.0 + pckl = io.load_physio(get_test_data_path("ECG.phys"), fs=500.0, allow_pickle=True) + assert caplog.text.count("WARNING") == 1 + assert pckl.fs == 500.0 + + # try loading CSV file + csv = io.load_physio(get_test_data_path("ECG.csv")) + assert isinstance(csv, physio.Physio) + assert np.allclose(csv, pckl) + assert np.isnan(csv.fs) + assert csv.history[0][0] == "physutils.io.load_physio" + + # try loading array + arr = io.load_physio(np.loadtxt(get_test_data_path("ECG.csv"))) + assert caplog.text.count("WARNING") == 2 + assert isinstance(arr, physio.Physio) + arr = io.load_physio( + np.loadtxt(get_test_data_path("ECG.csv")), + history=[("np.loadtxt", {"fname": "ECG.csv"})], + ) + assert isinstance(arr, physio.Physio) + + # try loading physio object (and resetting dtype) + out = io.load_physio(arr, dtype="float32") + assert out.data.dtype == np.dtype("float32") + assert out.history[0][0] == "np.loadtxt" + assert out.history[-1][0] == "physutils.io.load_physio" + with pytest.raises(TypeError): + io.load_physio([1, 2, 3]) + + +def test_save_physio(tmpdir): + pckl = io.load_physio(get_test_data_path("ECG.phys"), allow_pickle=True) + out = io.save_physio(tmpdir.join("tmp").purebasename, pckl) + assert os.path.exists(out) + assert isinstance(io.load_physio(out, allow_pickle=True), physio.Physio) + + +def test_load_history(tmpdir): + # get paths of data, new history + fname = get_test_data_path("ECG.csv") + temp_history = tmpdir.join("tmp").purebasename + + # make physio object and perform some operations + phys = io.load_physio(fname, fs=1000.0) + filt = filter_physio(phys, [5.0, 15.0], "bandpass") + + # save history to file and recreate new object from history + path = io.save_history(temp_history, filt) + replayed = io.load_history(path, verbose=True) + + # ensure objects are the same + assert np.allclose(filt, replayed) + assert filt.history == replayed.history + assert filt.fs == replayed.fs + + +def test_save_history(tmpdir, caplog): + # get paths of data, original history, new history + fname = get_test_data_path("ECG.csv") + orig_history = get_test_data_path("history.json") + temp_history = tmpdir.join("tmp").purebasename + + # make physio object and perform some operations + phys = physio.Physio(np.loadtxt(fname), fs=1000.0) + io.save_history(temp_history, phys) + assert caplog.text.count("WARNING") == 1 # no history = warning + filt = filter_physio(phys, [5.0, 15.0], "bandpass") + path = io.save_history(temp_history, filt) # dump history= + + # load both original and new json and ensure equality + with open(path, "r") as src: + hist = json.load(src) + with open(orig_history, "r") as src: + orig = json.load(src) + assert hist == orig diff --git a/physutils/tests/test_physio.py b/physutils/tests/test_physio.py new file mode 100644 index 0000000..176658b --- /dev/null +++ b/physutils/tests/test_physio.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- + +import numpy as np +import pytest + +from physutils.physio import Physio +from physutils.tests import utils as testutils + +DATA = np.loadtxt(testutils.get_test_data_path("ECG.csv")) +PROPERTIES = ["data", "fs", "history", "peaks", "troughs", "_masked"] +PHYSIO_TESTS = [ + # accepts "correct" inputs for history + dict(kwargs=dict(data=DATA, history=[("good", "history")])), + # fails on bad inputs for history + dict(kwargs=dict(data=DATA, history=["malformed", "history"]), raises=TypeError), + dict(kwargs=dict(data=DATA, history="not real history"), raises=TypeError), + # accepts "correct" for metadata + dict(kwargs=dict(data=DATA, metadata=dict())), + dict(kwargs=dict(data=DATA, metadata=dict(peaks=[], reject=[], troughs=[]))), + # fails on bad inputs for metadata + dict(kwargs=dict(data=DATA, metadata=[]), raises=TypeError), + dict(kwargs=dict(data=DATA, metadata=dict(peaks={})), raises=TypeError), + # fails on bad inputs for data + dict(kwargs=dict(data=np.column_stack([DATA, DATA])), raises=ValueError), + dict(kwargs=dict(data="hello"), raises=ValueError), +] + + +def test_physio(): + phys = Physio(DATA, fs=1000) + assert len(np.hstack((phys[:10], phys[10:-10], phys[-10:]))) + assert str(phys) == "Physio(size=44611, fs=1000.0)" + assert len(np.exp(phys)) == 44611 + + +class TestPhysio: + tests = PHYSIO_TESTS + + def test_physio_creation(self): + for test in PHYSIO_TESTS: + if test.get("raises") is not None: + with pytest.raises(test["raises"]): + phys = Physio(**test["kwargs"]) + else: + phys = Physio(**test["kwargs"]) + for prop in PROPERTIES: + assert hasattr(phys, prop) + for prop in ["peaks", "reject", "troughs"]: + assert isinstance(phys._metadata.get(prop), np.ndarray) diff --git a/physutils/tests/test_physio_obj.py b/physutils/tests/test_physio_obj.py deleted file mode 100644 index 488b374..0000000 --- a/physutils/tests/test_physio_obj.py +++ /dev/null @@ -1,123 +0,0 @@ -""" -Tests physio_obj.py -""" - -import numpy as np -from phys2bids import physio_obj as po -from pytest import raises - - -# Tests is_valid -def test_is_valid(): - test_list = [0, 1, 1, 2, 3, 5, 8, 13] - valid_output = po.is_valid(test_list, list, int) - assert valid_output == test_list - - test_array = np.array([0, 1, 1, 2, 3, 5, 8, 13]) - valid_output = po.is_valid(test_array, np.ndarray) - assert (valid_output == test_array).all() - - test_list = [test_array, test_array] - valid_output = po.is_valid(test_list, list, np.ndarray) - assert valid_output == test_list - - with raises(AttributeError) as errorinfo: - valid_output = po.is_valid(test_array, int) - assert 'The given variable is not a' in str(errorinfo.value) - - -# Tests has_size -def test_has_size(): - # Check padding is correct - test_list = [0, 1, 1, 2, 3, 5, 8, 13] - test_length = 10 - list_check = [0, 1, 1, 2, 3, 5, 8, 13, 0, 0] - size_output = po.has_size(test_list, test_length, 0) - assert len(size_output) == test_length - assert size_output == list_check - - # Check output is correct when size is the same - test_length = 8 - size_output = po.has_size(test_list, test_length, 0) - assert len(size_output) == test_length - assert size_output == test_list - - -# Tests BlueprintInput -def test_BlueprintInput(): - test_time = np.array([0, 1, 1, 2, 3, 5, 8, 13]) - test_trigger = np.array([0, 1, 0, 0, 0, 0, 0, 0]) - test_chocolate = np.array([1, 0, 0, 1, 0, 0, 1, 0]) - test_timeseries = [test_time, test_trigger, test_chocolate] - test_freq = [42.0, 3.14, 20.0] - test_chn_name = ['time', 'trigger', 'chocolate'] - test_units = ['s', 's', 'sweetness'] - num_channnels = len(test_timeseries) - - blueprint_in = po.BlueprintInput(test_timeseries, test_freq, test_chn_name, test_units) - - # Tests rename_channels - new_names = ['trigger', 'time', 'lindt'] - blueprint_in.rename_channels(new_names.copy()) - assert blueprint_in.ch_name == ['time', 'trigger', 'lindt'] - - # Tests return_index - test_index = blueprint_in.return_index(1) - assert (test_index[0] == test_trigger).all() - assert test_index[1] == len(test_timeseries) - assert test_index[2] == test_freq[1] - assert test_index[3] == test_chn_name[1] - assert test_index[4] == test_units[1] - - # Tests delete_at_index - blueprint_in.delete_at_index(2) - assert blueprint_in.ch_amount == num_channnels - 1 - - # Tests check_trigger_amount - blueprint_in.check_trigger_amount(thr=0.9, num_timepoints_expected=1) - assert blueprint_in.num_timepoints_found == 1 - - -def test_BlueprintOutput(): - test_time = np.array([0, 1, 1, 2, 3, 5, 8, 13]) - test_trigger = np.array([0, 1, 0, 0, 0, 0, 0, 0]) - test_chocolate = np.array([1, 0, 0, 1, 0, 0, 1, 0]) - test_timeseries = [test_time, test_trigger, test_chocolate] - test_freq = [42.0, 3.14, 20.0] - test_chn_name = ['trigger', 'time', 'chocolate'] - test_units = ['s', 's', 'sweetness'] - num_channnels = len(test_timeseries) - - blueprint_in = po.BlueprintInput(test_timeseries, test_freq, test_chn_name, test_units) - - # Tests init_from_blueprint - blueprint_out = po.BlueprintOutput.init_from_blueprint(blueprint_in) - start_time = blueprint_out.start_time - assert (blueprint_out.timeseries == test_timeseries).all() - assert blueprint_out.freq == test_freq[0] - assert blueprint_out.ch_name == test_chn_name - assert blueprint_out.units == test_units - assert blueprint_out.start_time == 0 - - # Tests return_index - test_timeseries = np.array([[0, 1, 1, 2, 3, 5, 8, 13], - [0, 1, 0, 0, 0, 0, 0, 0], - [1, 0, 0, 1, 0, 0, 1, 0]]) - test_freq = 42.0 - test_chn_name = ['trigger', 'time', 'chocolate'] - test_units = ['s', 's', 'sweetness'] - num_channnels = len(test_timeseries) - blueprint_out = po.BlueprintOutput(test_timeseries, test_freq, test_chn_name, test_units, - start_time) - test_index = blueprint_out.return_index(1) - assert (test_index[0] == test_trigger).all() - assert test_index[1] == len(test_timeseries) - assert test_index[3] == test_chn_name[1] - assert test_index[4] == test_units[1] - - # Tests delete_at_index - blueprint_out.delete_at_index(1) - assert len(blueprint_out.ch_name) == num_channnels - 1 - assert len(blueprint_out.units) == num_channnels - 1 - assert blueprint_out.timeseries.shape[0] == num_channnels - 1 - assert blueprint_out.ch_amount == num_channnels - 1 diff --git a/physutils/tests/utils.py b/physutils/tests/utils.py new file mode 100644 index 0000000..7a6998f --- /dev/null +++ b/physutils/tests/utils.py @@ -0,0 +1,79 @@ +""" +Utilities for testing +""" + +from os.path import join as pjoin + +import numpy as np +from pkg_resources import resource_filename +from scipy import signal + +from physutils import physio + + +def get_test_data_path(fname=None): + """Function for getting `peakdet` test data path""" + path = resource_filename("physutils", "tests/data") + return pjoin(path, fname) if fname is not None else path + + +def get_sample_data(): + """Function for generating tiny sine wave form for testing""" + data = np.sin(np.linspace(0, 20, 40)) + peaks, troughs = np.array([3, 15, 28]), np.array([9, 21, 34]) + + return data, peaks, troughs + + +@physio.make_operation() +def filter_physio(data, cutoffs, method, *, order=3): + """ + Applies an `order`-order digital `method` Butterworth filter to `data` + + Parameters + ---------- + data : Physio_like + Input physiological data to be filtered + cutoffs : int or list + If `method` is 'lowpass' or 'highpass', an integer specifying the lower + or upper bound of the filter (in Hz). If method is 'bandpass' or + 'bandstop', a list specifying the lower and upper bound of the filter + (in Hz). + method : {'lowpass', 'highpass', 'bandpass', 'bandstop'} + The type of filter to apply to `data` + order : int, optional + Order of filter to be applied. Default: 3 + + Returns + ------- + filtered : :class:`peakdet.Physio` + Filtered input `data` + """ + + _valid_methods = ["lowpass", "highpass", "bandpass", "bandstop"] + + data = physio.check_physio(data, ensure_fs=True) + if method not in _valid_methods: + raise ValueError( + "Provided method {} is not permitted; must be in {}.".format( + method, _valid_methods + ) + ) + + cutoffs = np.array(cutoffs) + if method in ["lowpass", "highpass"] and cutoffs.size != 1: + raise ValueError("Cutoffs must be length 1 when using {} filter".format(method)) + elif method in ["bandpass", "bandstop"] and cutoffs.size != 2: + raise ValueError("Cutoffs must be length 2 when using {} filter".format(method)) + + nyq_cutoff = cutoffs / (data.fs * 0.5) + if np.any(nyq_cutoff > 1): + raise ValueError( + "Provided cutoffs {} are outside of the Nyquist " + "frequency for input data with sampling rate {}.".format(cutoffs, data.fs) + ) + + b, a = signal.butter(int(order), nyq_cutoff, btype=method) + filtered = physio.new_physio_like(data, signal.filtfilt(b, a, data)) + + return filtered diff --git a/setup.cfg b/setup.cfg index bbccabc..8a74e06 100644 --- a/setup.cfg +++ b/setup.cfg @@ -22,7 +22,10 @@ provides = [options] python_requires = >=3.6.1 install_requires = + matplotlib >=3.9 numpy >=1.9.3 + scipy + loguru tests_require = pytest >=3.6 test_suite = pytest @@ -37,23 +40,58 @@ doc = sphinx_rtd_theme style = flake8 >=3.7 + flake8-docstrings >=1.5 + black + isort <6.0.0 + pydocstyle + codespell test = + scipy + pytest >=5.3 pytest-cov + %(style)s +devtools = + pre-commit all = %(doc)s %(style)s %(test)s + %(devtools)s [flake8] -doctest = True exclude= *build/ tests -ignore = E126, E402, W503 -max-line-length = 99 + versioneer.py +ignore = E126, E402, W503, W401, W811 +extend-ignore = E203, E501 +extend-select = B950 +max-line-length = 88 per-file-ignores = */__init__.py:F401 +[isort] +profile = black +skip_gitignore = true +extend_skip = + setup.py + versioneer.py + physutils/_version.py +skip_glob = + docs/* + +[pydocstyle] +convention = numpy +match = + physutils/*.py +match_dir = physutils/[^tests]* + +[codespell] +skip = venvs,.venv,versioneer.py,.git,build,./docs/_build +write-changes = +count = +quiet-level = 3 + [tool:pytest] doctest_optionflags = NORMALIZE_WHITESPACE xfail_strict = true diff --git a/setup.py b/setup.py index 9b23b3e..6190e2b 100644 --- a/setup.py +++ b/setup.py @@ -4,11 +4,13 @@ from setuptools import setup import versioneer -SETUP_REQUIRES = ['setuptools >= 30.3.0'] -SETUP_REQUIRES += ['wheel'] if 'bdist_wheel' in sys.argv else [] +SETUP_REQUIRES = ["setuptools >= 30.3.0"] +SETUP_REQUIRES += ["wheel"] if "bdist_wheel" in sys.argv else [] if __name__ == "__main__": - setup(name='physutils', - setup_requires=SETUP_REQUIRES, - version=versioneer.get_version(), - cmdclass=versioneer.get_cmdclass()) + setup( + name="physutils", + setup_requires=SETUP_REQUIRES, + version=versioneer.get_version(), + cmdclass=versioneer.get_cmdclass(), + ) diff --git a/versioneer.py b/versioneer.py index 64fea1c..2b54540 100644 --- a/versioneer.py +++ b/versioneer.py @@ -1,4 +1,3 @@ - # Version: 0.18 """The Versioneer - like a rocketeer, but for versions. @@ -277,6 +276,7 @@ """ from __future__ import print_function + try: import configparser except ImportError: @@ -308,11 +308,13 @@ def get_root(): setup_py = os.path.join(root, "setup.py") versioneer_py = os.path.join(root, "versioneer.py") if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)): - err = ("Versioneer was unable to run the project root directory. " - "Versioneer requires setup.py to be executed from " - "its immediate directory (like 'python setup.py COMMAND'), " - "or in a way that lets it use sys.argv[0] to find the root " - "(like 'python path/to/setup.py COMMAND').") + err = ( + "Versioneer was unable to run the project root directory. " + "Versioneer requires setup.py to be executed from " + "its immediate directory (like 'python setup.py COMMAND'), " + "or in a way that lets it use sys.argv[0] to find the root " + "(like 'python path/to/setup.py COMMAND')." + ) raise VersioneerBadRootError(err) try: # Certain runtime workflows (setup.py install/develop in a setuptools @@ -325,8 +327,10 @@ def get_root(): me_dir = os.path.normcase(os.path.splitext(me)[0]) vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0]) if me_dir != vsr_dir: - print("Warning: build in %s is using versioneer.py from %s" - % (os.path.dirname(me), versioneer_py)) + print( + "Warning: build in %s is using versioneer.py from %s" + % (os.path.dirname(me), versioneer_py) + ) except NameError: pass return root @@ -348,6 +352,7 @@ def get(parser, name): if parser.has_option("versioneer", name): return parser.get("versioneer", name) return None + cfg = VersioneerConfig() cfg.VCS = VCS cfg.style = get(parser, "style") or "" @@ -372,17 +377,18 @@ class NotThisMethod(Exception): def register_vcs_handler(vcs, method): # decorator """Decorator to mark a method as the handler for a particular VCS.""" + def decorate(f): """Store f in HANDLERS[vcs][method].""" if vcs not in HANDLERS: HANDLERS[vcs] = {} HANDLERS[vcs][method] = f return f + return decorate -def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, - env=None): +def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None): """Call the given command(s).""" assert isinstance(commands, list) p = None @@ -390,10 +396,13 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, try: dispcmd = str([c] + args) # remember shell=False, so use git.cmd on windows, not just git - p = subprocess.Popen([c] + args, cwd=cwd, env=env, - stdout=subprocess.PIPE, - stderr=(subprocess.PIPE if hide_stderr - else None)) + p = subprocess.Popen( + [c] + args, + cwd=cwd, + env=env, + stdout=subprocess.PIPE, + stderr=(subprocess.PIPE if hide_stderr else None), + ) break except EnvironmentError: e = sys.exc_info()[1] @@ -418,7 +427,9 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, return stdout, p.returncode -LONG_VERSION_PY['git'] = ''' +LONG_VERSION_PY[ + "git" +] = ''' # This file helps to compute a version number in source trees obtained from # git-archive tarball (such as those provided by githubs download-from-tag # feature). Distribution tarballs (built by setup.py sdist) and build @@ -993,7 +1004,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose): # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of # just "foo-1.0". If we see a "tag: " prefix, prefer those. TAG = "tag: " - tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)]) + tags = set([r[len(TAG) :] for r in refs if r.startswith(TAG)]) if not tags: # Either we're using git < 1.8.3, or there really are no tags. We use # a heuristic: assume all version tags have a digit. The old git %d @@ -1002,7 +1013,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose): # between branches and tags. By ignoring refnames without digits, we # filter out many common branch names like "release" and # "stabilization", as well as "HEAD" and "master". - tags = set([r for r in refs if re.search(r'\d', r)]) + tags = set([r for r in refs if re.search(r"\d", r)]) if verbose: print("discarding '%s', no digits" % ",".join(refs - tags)) if verbose: @@ -1010,19 +1021,26 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose): for ref in sorted(tags): # sorting will prefer e.g. "2.0" over "2.0rc1" if ref.startswith(tag_prefix): - r = ref[len(tag_prefix):] + r = ref[len(tag_prefix) :] if verbose: print("picking %s" % r) - return {"version": r, - "full-revisionid": keywords["full"].strip(), - "dirty": False, "error": None, - "date": date} + return { + "version": r, + "full-revisionid": keywords["full"].strip(), + "dirty": False, + "error": None, + "date": date, + } # no suitable tags, so version is "0+unknown", but full hex is still there if verbose: print("no suitable tags, using unknown + full revision id") - return {"version": "0+unknown", - "full-revisionid": keywords["full"].strip(), - "dirty": False, "error": "no suitable tags", "date": None} + return { + "version": "0+unknown", + "full-revisionid": keywords["full"].strip(), + "dirty": False, + "error": "no suitable tags", + "date": None, + } @register_vcs_handler("git", "pieces_from_vcs") @@ -1037,8 +1055,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): if sys.platform == "win32": GITS = ["git.cmd", "git.exe"] - out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, - hide_stderr=True) + out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True) if rc != 0: if verbose: print("Directory %s not under git control" % root) @@ -1046,10 +1063,19 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty] # if there isn't one, this yields HEX[-dirty] (no NUM) - describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty", - "--always", "--long", - "--match", "%s*" % tag_prefix], - cwd=root) + describe_out, rc = run_command( + GITS, + [ + "describe", + "--tags", + "--dirty", + "--always", + "--long", + "--match", + "%s*" % tag_prefix, + ], + cwd=root, + ) # --long was added in git-1.5.5 if describe_out is None: raise NotThisMethod("'git describe' failed") @@ -1072,17 +1098,16 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): dirty = git_describe.endswith("-dirty") pieces["dirty"] = dirty if dirty: - git_describe = git_describe[:git_describe.rindex("-dirty")] + git_describe = git_describe[: git_describe.rindex("-dirty")] # now we have TAG-NUM-gHEX or HEX if "-" in git_describe: # TAG-NUM-gHEX - mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe) + mo = re.search(r"^(.+)-(\d+)-g([0-9a-f]+)$", git_describe) if not mo: # unparseable. Maybe git-describe is misbehaving? - pieces["error"] = ("unable to parse git-describe output: '%s'" - % describe_out) + pieces["error"] = "unable to parse git-describe output: '%s'" % describe_out return pieces # tag @@ -1091,10 +1116,12 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): if verbose: fmt = "tag '%s' doesn't start with prefix '%s'" print(fmt % (full_tag, tag_prefix)) - pieces["error"] = ("tag '%s' doesn't start with prefix '%s'" - % (full_tag, tag_prefix)) + pieces["error"] = "tag '%s' doesn't start with prefix '%s'" % ( + full_tag, + tag_prefix, + ) return pieces - pieces["closest-tag"] = full_tag[len(tag_prefix):] + pieces["closest-tag"] = full_tag[len(tag_prefix) :] # distance: number of commits since tag pieces["distance"] = int(mo.group(2)) @@ -1105,13 +1132,13 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command): else: # HEX: no tags pieces["closest-tag"] = None - count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], - cwd=root) + count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root) pieces["distance"] = int(count_out) # total number of commits # commit date: see ISO-8601 comment in git_versions_from_keywords() - date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], - cwd=root)[0].strip() + date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[ + 0 + ].strip() pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1) return pieces @@ -1167,16 +1194,22 @@ def versions_from_parentdir(parentdir_prefix, root, verbose): for i in range(3): dirname = os.path.basename(root) if dirname.startswith(parentdir_prefix): - return {"version": dirname[len(parentdir_prefix):], - "full-revisionid": None, - "dirty": False, "error": None, "date": None} + return { + "version": dirname[len(parentdir_prefix) :], + "full-revisionid": None, + "dirty": False, + "error": None, + "date": None, + } else: rootdirs.append(root) root = os.path.dirname(root) # up a level if verbose: - print("Tried directories %s but none started with prefix %s" % - (str(rootdirs), parentdir_prefix)) + print( + "Tried directories %s but none started with prefix %s" + % (str(rootdirs), parentdir_prefix) + ) raise NotThisMethod("rootdir doesn't start with parentdir_prefix") @@ -1205,11 +1238,13 @@ def versions_from_file(filename): contents = f.read() except EnvironmentError: raise NotThisMethod("unable to read _version.py") - mo = re.search(r"version_json = '''\n(.*)''' # END VERSION_JSON", - contents, re.M | re.S) + mo = re.search( + r"version_json = '''\n(.*)''' # END VERSION_JSON", contents, re.M | re.S + ) if not mo: - mo = re.search(r"version_json = '''\r\n(.*)''' # END VERSION_JSON", - contents, re.M | re.S) + mo = re.search( + r"version_json = '''\r\n(.*)''' # END VERSION_JSON", contents, re.M | re.S + ) if not mo: raise NotThisMethod("no version_json in _version.py") return json.loads(mo.group(1)) @@ -1218,8 +1253,7 @@ def versions_from_file(filename): def write_to_version_file(filename, versions): """Write the given version number to the given _version.py file.""" os.unlink(filename) - contents = json.dumps(versions, sort_keys=True, - indent=1, separators=(",", ": ")) + contents = json.dumps(versions, sort_keys=True, indent=1, separators=(",", ": ")) with open(filename, "w") as f: f.write(SHORT_VERSION_PY % contents) @@ -1251,8 +1285,7 @@ def render_pep440(pieces): rendered += ".dirty" else: # exception #1 - rendered = "0+untagged.%d.g%s" % (pieces["distance"], - pieces["short"]) + rendered = "0+untagged.%d.g%s" % (pieces["distance"], pieces["short"]) if pieces["dirty"]: rendered += ".dirty" return rendered @@ -1366,11 +1399,13 @@ def render_git_describe_long(pieces): def render(pieces, style): """Render the given version pieces into the requested style.""" if pieces["error"]: - return {"version": "unknown", - "full-revisionid": pieces.get("long"), - "dirty": None, - "error": pieces["error"], - "date": None} + return { + "version": "unknown", + "full-revisionid": pieces.get("long"), + "dirty": None, + "error": pieces["error"], + "date": None, + } if not style or style == "default": style = "pep440" # the default @@ -1390,9 +1425,13 @@ def render(pieces, style): else: raise ValueError("unknown style '%s'" % style) - return {"version": rendered, "full-revisionid": pieces["long"], - "dirty": pieces["dirty"], "error": None, - "date": pieces.get("date")} + return { + "version": rendered, + "full-revisionid": pieces["long"], + "dirty": pieces["dirty"], + "error": None, + "date": pieces.get("date"), + } class VersioneerBadRootError(Exception): @@ -1415,8 +1454,9 @@ def get_versions(verbose=False): handlers = HANDLERS.get(cfg.VCS) assert handlers, "unrecognized VCS '%s'" % cfg.VCS verbose = verbose or cfg.verbose - assert cfg.versionfile_source is not None, \ - "please set versioneer.versionfile_source" + assert ( + cfg.versionfile_source is not None + ), "please set versioneer.versionfile_source" assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix" versionfile_abs = os.path.join(root, cfg.versionfile_source) @@ -1470,9 +1510,13 @@ def get_versions(verbose=False): if verbose: print("unable to compute version") - return {"version": "0+unknown", "full-revisionid": None, - "dirty": None, "error": "unable to compute version", - "date": None} + return { + "version": "0+unknown", + "full-revisionid": None, + "dirty": None, + "error": "unable to compute version", + "date": None, + } def get_version(): @@ -1521,6 +1565,7 @@ def run(self): print(" date: %s" % vers.get("date")) if vers["error"]: print(" error: %s" % vers["error"]) + cmds["version"] = cmd_version # we override "build_py" in both distutils and setuptools @@ -1553,14 +1598,15 @@ def run(self): # now locate _version.py in the new build/ directory and replace # it with an updated value if cfg.versionfile_build: - target_versionfile = os.path.join(self.build_lib, - cfg.versionfile_build) + target_versionfile = os.path.join(self.build_lib, cfg.versionfile_build) print("UPDATING %s" % target_versionfile) write_to_version_file(target_versionfile, versions) + cmds["build_py"] = cmd_build_py if "cx_Freeze" in sys.modules: # cx_freeze enabled? from cx_Freeze.dist import build_exe as _build_exe + # nczeczulin reports that py2exe won't like the pep440-style string # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g. # setup(console=[{ @@ -1581,17 +1627,21 @@ def run(self): os.unlink(target_versionfile) with open(cfg.versionfile_source, "w") as f: LONG = LONG_VERSION_PY[cfg.VCS] - f.write(LONG % - {"DOLLAR": "$", - "STYLE": cfg.style, - "TAG_PREFIX": cfg.tag_prefix, - "PARENTDIR_PREFIX": cfg.parentdir_prefix, - "VERSIONFILE_SOURCE": cfg.versionfile_source, - }) + f.write( + LONG + % { + "DOLLAR": "$", + "STYLE": cfg.style, + "TAG_PREFIX": cfg.tag_prefix, + "PARENTDIR_PREFIX": cfg.parentdir_prefix, + "VERSIONFILE_SOURCE": cfg.versionfile_source, + } + ) + cmds["build_exe"] = cmd_build_exe del cmds["build_py"] - if 'py2exe' in sys.modules: # py2exe enabled? + if "py2exe" in sys.modules: # py2exe enabled? try: from py2exe.distutils_buildexe import py2exe as _py2exe # py3 except ImportError: @@ -1610,13 +1660,17 @@ def run(self): os.unlink(target_versionfile) with open(cfg.versionfile_source, "w") as f: LONG = LONG_VERSION_PY[cfg.VCS] - f.write(LONG % - {"DOLLAR": "$", - "STYLE": cfg.style, - "TAG_PREFIX": cfg.tag_prefix, - "PARENTDIR_PREFIX": cfg.parentdir_prefix, - "VERSIONFILE_SOURCE": cfg.versionfile_source, - }) + f.write( + LONG + % { + "DOLLAR": "$", + "STYLE": cfg.style, + "TAG_PREFIX": cfg.tag_prefix, + "PARENTDIR_PREFIX": cfg.parentdir_prefix, + "VERSIONFILE_SOURCE": cfg.versionfile_source, + } + ) + cmds["py2exe"] = cmd_py2exe # we override different "sdist" commands for both environments @@ -1643,8 +1697,10 @@ def make_release_tree(self, base_dir, files): # updated value target_versionfile = os.path.join(base_dir, cfg.versionfile_source) print("UPDATING %s" % target_versionfile) - write_to_version_file(target_versionfile, - self._versioneer_generated_versions) + write_to_version_file( + target_versionfile, self._versioneer_generated_versions + ) + cmds["sdist"] = cmd_sdist return cmds @@ -1699,11 +1755,13 @@ def do_setup(): root = get_root() try: cfg = get_config_from_root(root) - except (EnvironmentError, configparser.NoSectionError, - configparser.NoOptionError) as e: + except ( + EnvironmentError, + configparser.NoSectionError, + configparser.NoOptionError, + ) as e: if isinstance(e, (EnvironmentError, configparser.NoSectionError)): - print("Adding sample versioneer config to setup.cfg", - file=sys.stderr) + print("Adding sample versioneer config to setup.cfg", file=sys.stderr) with open(os.path.join(root, "setup.cfg"), "a") as f: f.write(SAMPLE_CONFIG) print(CONFIG_ERROR, file=sys.stderr) @@ -1712,15 +1770,18 @@ def do_setup(): print(" creating %s" % cfg.versionfile_source) with open(cfg.versionfile_source, "w") as f: LONG = LONG_VERSION_PY[cfg.VCS] - f.write(LONG % {"DOLLAR": "$", - "STYLE": cfg.style, - "TAG_PREFIX": cfg.tag_prefix, - "PARENTDIR_PREFIX": cfg.parentdir_prefix, - "VERSIONFILE_SOURCE": cfg.versionfile_source, - }) - - ipy = os.path.join(os.path.dirname(cfg.versionfile_source), - "__init__.py") + f.write( + LONG + % { + "DOLLAR": "$", + "STYLE": cfg.style, + "TAG_PREFIX": cfg.tag_prefix, + "PARENTDIR_PREFIX": cfg.parentdir_prefix, + "VERSIONFILE_SOURCE": cfg.versionfile_source, + } + ) + + ipy = os.path.join(os.path.dirname(cfg.versionfile_source), "__init__.py") if os.path.exists(ipy): try: with open(ipy, "r") as f: @@ -1762,8 +1823,10 @@ def do_setup(): else: print(" 'versioneer.py' already in MANIFEST.in") if cfg.versionfile_source not in simple_includes: - print(" appending versionfile_source ('%s') to MANIFEST.in" % - cfg.versionfile_source) + print( + " appending versionfile_source ('%s') to MANIFEST.in" + % cfg.versionfile_source + ) with open(manifest_in, "a") as f: f.write("include %s\n" % cfg.versionfile_source) else: