eventman/utils.py

"""Event Man(ager) utils

Miscellaneous utilities.

Copyright 2015 Davide Alberani <da@erlug.linux.it>
               RaspiBO <info@raspibo.org>

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""

import csv
import StringIO

def csvParse(csvStr, remap=None, merge=None):
    """Parse a CSV file, optionally renaming the columns and merging other information.

    :param csvStr: the CSV to parse, as a string
    :type csvStr: str
    :param remap: a dictionary used to rename the columns
    :type remap: dict
    :param merge: merge these information into each line
    :type merge: dict

    :return: tuple with a dict of total and valid lines and the data
    :rtype: tuple
    """
    fd = StringIO.StringIO(csvStr)
    reader = csv.reader(fd)
    remap = remap or {}
    merge = merge or {}
    fields = 0
    reply = dict(total=0, valid=0)
    results = []
    try:
        headers = reader.next()
        fields = len(headers)
    except (StopIteration, csv.Error):
        return reply, {}

    for idx, header in enumerate(headers):
        if header in remap:
            headers[idx] = remap[header]
    try:
        for row in reader:
            try:
                reply['total'] += 1
                if len(row) != fields:
                    continue
                row = [unicode(cell, 'utf-8', 'replace') for cell in row]
                values = dict(map(None, headers, row))
                values.update(merge)
                results.append(values)
                reply['valid'] += 1
            except csv.Error:
                continue
    except csv.Error:
        pass
    fd.close()
    return reply, results