File size: 2,245 Bytes
b199558 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | #!/usr/bin/env bash
# Oracle solution: csv module for RFC4180, Decimal for exact numeric rewriting.
set -euo pipefail
cd "$TB_WORK"
mkdir -p bin
cat > bin/canon <<'PYEOF'
#!/usr/bin/env python3
import csv
import re
import sys
from decimal import Decimal, InvalidOperation
from pathlib import Path
NUMERIC = re.compile(r"^[+-]?(\d+(\.\d*)?|\.\d+)([eE][+-]?\d+)?$")
def normalize(cell):
if not NUMERIC.match(cell):
return cell
try:
value = Decimal(cell)
except InvalidOperation:
return cell
if value == 0:
return "0"
return format(value.normalize(), "f")
def main(argv):
if len(argv) != 3:
sys.stderr.write("usage: canon <input.csv> <output.tsv>\n")
return 1
source = Path(argv[1])
target = Path(argv[2])
if not source.is_file():
sys.stderr.write("no such file: %s\n" % argv[1])
return 2
with open(source, "r", encoding="utf-8-sig", newline="") as handle:
reader = csv.reader(handle)
header = next(reader, None)
if header is None:
header = []
header = [name.strip() for name in header]
seen = set()
for name in header:
key = name.casefold()
if key in seen:
sys.stderr.write("duplicate column: %s\n" % name)
return 3
seen.add(key)
rows = []
previous_line = reader.line_num
for record in reader:
start = previous_line + 1
previous_line = reader.line_num
if not record:
continue
if len(record) != len(header):
sys.stderr.write("malformed row: line %d\n" % start)
return 4
rows.append([normalize(cell) for cell in record])
rows.sort(key=lambda row: (row[0], row[1] if len(row) > 1 else ""))
target.parent.mkdir(parents=True, exist_ok=True)
with open(target, "w", encoding="utf-8", newline="") as handle:
handle.write("\t".join(header) + "\n")
for row in rows:
handle.write("\t".join(row) + "\n")
return 0
if __name__ == "__main__":
sys.exit(main(sys.argv))
PYEOF
chmod +x bin/canon
./bin/canon data/orders.csv out/orders.tsv
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