コード例 #1
0
    def get(self, config, archiver, operator, path, key):
        """
        Get the metric data for this indexed revision.

        :param config: The wily config.
        :type  config: :class:`wily.config.WilyConfig`

        :param archiver: The archiver.
        :type  archiver: :class:`wily.archivers.Archiver`

        :param operator: The operator to find
        :type  operator: ``str``

        :param path: The path to find
        :type  path: ``str``

        :param key: The metric key
        :type  key: ``str``
        """
        if not self._data:
            self._data = cache.get(config=config,
                                   archiver=archiver,
                                   revision=self.revision.key)["operator_data"]
        logger.debug(f"Fetching metric {path} - {key} for operator {operator}")
        return get_metric(self._data, operator, path, key)
コード例 #2
0
ファイル: diff.py プロジェクト: alegonz/wily
def diff(config, files, metrics, changes_only=True, detail=True):
    """
    Show the differences in metrics for each of the files.

    :param config: The wily configuration
    :type  config: :namedtuple:`wily.config.WilyConfig`

    :param files: The files to compare.
    :type  files: ``list`` of ``str``

    :param metrics: The metrics to measure.
    :type  metrics: ``list`` of ``str``

    :param changes_only: Only include changes files in output.
    :type  changes_only: ``bool``

    :param detail: Show details (function-level)
    :type  detail: ``bool``
    """
    config.targets = files
    files = list(files)
    state = State(config)
    last_revision = state.index[state.default_archiver].revisions[0]

    # Convert the list of metrics to a list of metric instances
    operators = {resolve_operator(metric.split(".")[0]) for metric in metrics}
    metrics = [(metric.split(".")[0], resolve_metric(metric)) for metric in metrics]
    data = {}
    results = []

    # Build a set of operators
    _operators = [operator.cls(config) for operator in operators]

    cwd = os.getcwd()
    os.chdir(config.path)
    for operator in _operators:
        logger.debug(f"Running {operator.name} operator")
        data[operator.name] = operator.run(None, config)
    os.chdir(cwd)

    # Write a summary table..
    extra = []
    for operator, metric in metrics:
        if detail and resolve_operator(operator).level == OperatorLevel.Object:
            for file in files:
                try:
                    extra.extend(
                        [
                            f"{file}:{k}"
                            for k in data[operator][file]["detailed"].keys()
                            if k != metric.name
                            and isinstance(data[operator][file]["detailed"][k], dict)
                        ]
                    )
                except KeyError:
                    logger.debug(f"File {file} not in cache")
                    logger.debug("Cache follows -- ")
                    logger.debug(data[operator])
    files.extend(extra)
    logger.debug(files)
    for file in files:
        metrics_data = []
        has_changes = False
        for operator, metric in metrics:
            try:
                current = last_revision.get(
                    config, state.default_archiver, operator, file, metric.name
                )
            except KeyError as e:
                current = "-"
            try:
                new = get_metric(data, operator, file, metric.name)
            except KeyError as e:
                new = "-"
            if new != current:
                has_changes = True
            if metric.type in (int, float) and new != "-" and current != "-":
                if current > new:
                    metrics_data.append(
                        "{0:n} -> \u001b[{2}m{1:n}\u001b[0m".format(
                            current, new, BAD_COLORS[metric.measure]
                        )
                    )
                elif current < new:
                    metrics_data.append(
                        "{0:n} -> \u001b[{2}m{1:n}\u001b[0m".format(
                            current, new, GOOD_COLORS[metric.measure]
                        )
                    )
                else:
                    metrics_data.append("{0:n} -> {1:n}".format(current, new))
            else:
                if current == "-" and new == "-":
                    metrics_data.append("-")
                else:
                    metrics_data.append("{0} -> {1}".format(current, new))
        if has_changes or not changes_only:
            results.append((file, *metrics_data))
        else:
            logger.debug(metrics_data)

    descriptions = [metric.description for operator, metric in metrics]
    headers = ("File", *descriptions)
    if len(results) > 0:
        print(
            # But it still makes more sense to show the newest at the top, so reverse again
            tabulate.tabulate(
                headers=headers, tabular_data=results, tablefmt=DEFAULT_GRID_STYLE
            )
        )
コード例 #3
0
ファイル: diff.py プロジェクト: ubaumann/wily
def diff(config,
         files,
         metrics,
         changes_only=True,
         detail=True,
         revision=None):
    """
    Show the differences in metrics for each of the files.

    :param config: The wily configuration
    :type  config: :namedtuple:`wily.config.WilyConfig`

    :param files: The files to compare.
    :type  files: ``list`` of ``str``

    :param metrics: The metrics to measure.
    :type  metrics: ``list`` of ``str``

    :param changes_only: Only include changes files in output.
    :type  changes_only: ``bool``

    :param detail: Show details (function-level)
    :type  detail: ``bool``

    :param revision: Compare with specific revision
    :type  revision: ``str``
    """
    config.targets = files
    files = list(files)
    state = State(config)

    # Resolve target paths when the cli has specified --path
    if config.path != DEFAULT_PATH:
        targets = [str(Path(config.path) / Path(file)) for file in files]
    else:
        targets = files

    # Expand directories to paths
    files = [
        os.path.relpath(fn, config.path)
        for fn in radon.cli.harvest.iter_filenames(targets)
    ]
    logger.debug(f"Targeting - {files}")

    if not revision:
        target_revision = state.index[state.default_archiver].last_revision
    else:
        rev = resolve_archiver(
            state.default_archiver).cls(config).find(revision)
        logger.debug(f"Resolved {revision} to {rev.key} ({rev.message})")
        try:
            target_revision = state.index[state.default_archiver][rev.key]
        except KeyError:
            logger.error(
                f"Revision {revision} is not in the cache, make sure you have run wily build."
            )
            exit(1)

    logger.info(
        f"Comparing current with {format_revision(target_revision.revision.key)} by {target_revision.revision.author_name} on {format_date(target_revision.revision.date)}."
    )

    # Convert the list of metrics to a list of metric instances
    operators = {resolve_operator(metric.split(".")[0]) for metric in metrics}
    metrics = [(metric.split(".")[0], resolve_metric(metric))
               for metric in metrics]
    results = []

    # Build a set of operators
    with multiprocessing.Pool(processes=len(operators)) as pool:
        operator_exec_out = pool.starmap(run_operator,
                                         [(operator, None, config, targets)
                                          for operator in operators])
    data = {}
    for operator_name, result in operator_exec_out:
        data[operator_name] = result

    # Write a summary table
    extra = []
    for operator, metric in metrics:
        if detail and resolve_operator(operator).level == OperatorLevel.Object:
            for file in files:
                try:
                    extra.extend([
                        f"{file}:{k}"
                        for k in data[operator][file]["detailed"].keys()
                        if k != metric.name and isinstance(
                            data[operator][file]["detailed"][k], dict)
                    ])
                except KeyError:
                    logger.debug(f"File {file} not in cache")
                    logger.debug("Cache follows -- ")
                    logger.debug(data[operator])
    files.extend(extra)
    logger.debug(files)
    for file in files:
        metrics_data = []
        has_changes = False
        for operator, metric in metrics:
            try:
                current = target_revision.get(config, state.default_archiver,
                                              operator, file, metric.name)
            except KeyError:
                current = "-"
            try:
                new = get_metric(data, operator, file, metric.name)
            except KeyError:
                new = "-"
            if new != current:
                has_changes = True
            if metric.type in (int, float) and new != "-" and current != "-":
                if current > new:
                    metrics_data.append(
                        "{0:n} -> \u001b[{2}m{1:n}\u001b[0m".format(
                            current, new, BAD_COLORS[metric.measure]))
                elif current < new:
                    metrics_data.append(
                        "{0:n} -> \u001b[{2}m{1:n}\u001b[0m".format(
                            current, new, GOOD_COLORS[metric.measure]))
                else:
                    metrics_data.append("{0:n} -> {1:n}".format(current, new))
            else:
                if current == "-" and new == "-":
                    metrics_data.append("-")
                else:
                    metrics_data.append("{0} -> {1}".format(current, new))
        if has_changes or not changes_only:
            results.append((file, *metrics_data))
        else:
            logger.debug(metrics_data)

    descriptions = [metric.description for operator, metric in metrics]
    headers = ("File", *descriptions)
    if len(results) > 0:
        print(
            # But it still makes more sense to show the newest at the top, so reverse again
            tabulate.tabulate(headers=headers,
                              tabular_data=results,
                              tablefmt=DEFAULT_GRID_STYLE))