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changed name of csv_file variable and started work on ValidationError

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Alyssa Bigley
2021-06-10 14:41:33 -04:00
parent 3549fc07f6
commit 55b7cf21cc
2 changed files with 30 additions and 20 deletions
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38
netbox/utilities/forms/fields.py
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@ -246,35 +246,39 @@ class CSVFileField(forms.FileField):
def to_python(self, file):
records = []
csv_str = file.read().decode('utf-8')
reader = csv.reader(csv_str.splitlines())
if file:
csv_str = file.read().decode('utf-8')
reader = csv.reader(csv_str.splitlines())
# Consume the first line of CSV data as column headers. Create a dictionary mapping each header to an optional
# "to" field specifying how the related object is being referenced. For example, importing a Device might use a
# `site.slug` header, to indicate the related site is being referenced by its slug.
headers = {}
for header in next(reader):
if '.' in header:
field, to_field = header.split('.', 1)
headers[field] = to_field
else:
headers[header] = None
if file:
for header in next(reader):
if '.' in header:
field, to_field = header.split('.', 1)
headers[field] = to_field
else:
headers[header] = None
# Parse CSV rows into a list of dictionaries mapped from the column headers.
for i, row in enumerate(reader, start=1):
if len(row) != len(headers):
raise forms.ValidationError(
f"Row {i}: Expected {len(headers)} columns but found {len(row)}"
)
row = [col.strip() for col in row]
record = dict(zip(headers.keys(), row))
records.append(record)
# Parse CSV rows into a list of dictionaries mapped from the column headers.
for i, row in enumerate(reader, start=1):
if len(row) != len(headers):
raise forms.ValidationError(
f"Row {i}: Expected {len(headers)} columns but found {len(row)}"
)
row = [col.strip() for col in row]
record = dict(zip(headers.keys(), row))
records.append(record)
return headers, records
def validate(self, value):
headers, records = value
if not headers and not records:
return value
# Validate provided column headers
for field, to_field in headers.items():