__init__.py 文件源码

def _import_phenolist_csv(f, has_header):
    # Note: If a csv (1) contains commas in quoted cells and (2) doesn't have any line that starts with a quoted cell,
    #       then sometimes this makes very bad choices.
    #       In particular, if all lines have the same number of some other character (even a letter), that character might become the delimeter.
    try:
        dialect = csv.Sniffer().sniff(f.read(4096))
    except Exception as exc:
        raise PheWebError("Sniffing csv format failed.  Check that your csv file is well-formed.  If it is, try delimiting with tabs or semicolons.") from exc
    if dialect.delimiter in string.ascii_letters or dialect.delimiter in string.digits:
        raise PheWebError("Our csv sniffer decided that {!r} looks like the most likely delimiter in your csv file, but that's crazy.")
    f.seek(0)
    try:
        rows = list(csv.reader(f, dialect))
    except ValueError:
        return None
    num_cols = len(rows[0])
    if has_header:
        fieldnames, rows = rows[0], rows[1:]
        if any(fieldname is None or fieldname == '' for fieldname in fieldnames):
            if has_header == 'augment':
                fieldnames = [i if fieldname is None else fieldname for i, fieldname in enumerate(fieldnames)]
            else:
                raise PheWebError('bad csv header')
        assert len(set(fieldnames)) == len(fieldnames)
    else:
        fieldnames = list(range(num_cols))
    return [{fieldnames[i]: row[i] for i in range(num_cols)} for row in rows]