Returns a table of all current files in the repos, with some high level information about each file (total LOC,
        file owner, extension, most recent edit date, etc.).

        :param ignore_globs: (optional, default=None) a list of globs to ignore, default none excludes nothing
        :param include_globs: (optinal, default=None) a list of globs to include, default of None includes everything.
        :param committer: (optional, default=True) true if committer should be reported, false if author
        :return:

def file_detail(self, include_globs=None, ignore_globs=None, rev='HEAD', committer=True):
        """
        Returns a table of all current files in the repos, with some high level information about each file (total LOC,
        file owner, extension, most recent edit date, etc.).

        :param ignore_globs: (optional, default=None) a list of globs to ignore, default none excludes nothing
        :param include_globs: (optinal, default=None) a list of globs to include, default of None includes everything.
        :param committer: (optional, default=True) true if committer should be reported, false if author
        :return:
        """

        # first get the blame
        blame = self.blame(
            include_globs=include_globs,
            ignore_globs=ignore_globs,
            rev=rev,
            committer=committer,
            by='file'
        )
        blame = blame.reset_index(level=1)
        blame = blame.reset_index(level=1)

        # reduce it to files and total LOC
        df = blame.reindex(columns=['file', 'loc'])
        df = df.groupby('file').agg({'loc': np.sum})
        df = df.reset_index(level=1)

        # map in file owners
        df['file_owner'] = df['file'].map(lambda x: self.file_owner(rev, x, committer=committer))

        # add extension (something like the language)
        df['ext'] = df['file'].map(lambda x: x.split('.')[-1])

        # add in last edit date for the file
        df['last_edit_date'] = df['file'].map(self._file_last_edit)
        df['last_edit_date'] = to_datetime(df['last_edit_date'])

        df = df.set_index('file')

        return df