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Commit 28207235 authored by Treehugger Robot's avatar Treehugger Robot Committed by Gerrit Code Review
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Merge "Use argparse in merge_csv.py."

parents 452e4df8 4ef7a1a5
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+43 −13
Original line number Diff line number Diff line
@@ -14,26 +14,56 @@
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Merge mutliple CSV files, possibly with different columns, writing to stdout.
Merge multiple CSV files, possibly with different columns.
"""

import argparse
import csv
import sys
import io

csv_readers = [
    csv.DictReader(open(csv_file, 'r'), delimiter=',', quotechar='|')
    for csv_file in sys.argv[1:]
]
from zipfile import ZipFile

args_parser = argparse.ArgumentParser(description='Merge given CSV files into a single one.')
args_parser.add_argument('--header', help='Comma separated field names; '
                                          'if missing determines the header from input files.')
args_parser.add_argument('--zip_input', help='ZIP archive with all CSV files to merge.')
args_parser.add_argument('--output', help='Output file for merged CSV.',
                         default='-', type=argparse.FileType('w'))
args_parser.add_argument('files', nargs=argparse.REMAINDER)
args = args_parser.parse_args()


def dict_reader(input):
    return csv.DictReader(input, delimiter=',', quotechar='|')


if args.zip_input and len(args.files) > 0:
    raise ValueError('Expecting either a single ZIP with CSV files'
                     ' or a list of CSV files as input; not both.')

csv_readers = []
if len(args.files) > 0:
    for file in args.files:
        csv_readers.append(dict_reader(open(file, 'r')))
elif args.zip_input:
    with ZipFile(args.zip_input) as zip:
        for entry in zip.namelist():
            if entry.endswith('.uau'):
                csv_readers.append(dict_reader(io.TextIOWrapper(zip.open(entry, 'r'))))

# Build union of all columns from source files:
headers = set()
if args.header:
    fieldnames = args.header.split(',')
else:
    # Build union of all columns from source files:
    for reader in csv_readers:
        headers = headers.union(reader.fieldnames)
    fieldnames = sorted(headers)

# Concatenate all files to output:
out = csv.DictWriter(sys.stdout, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL,
                     dialect='unix', fieldnames=sorted(headers))
out.writeheader()
writer = csv.DictWriter(args.output, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL,
                        dialect='unix', fieldnames=fieldnames)
writer.writeheader()
for reader in csv_readers:
    for row in reader:
        out.writerow(row)
        writer.writerow(row)