<commit_before># Import needed libraries.
import csv, urllib2

url = 'http://www.sbe.virginia.gov/sbe_csv/CF/Report.csv'

# Retrieve the contents of the CSV report file from the SBE's server.
# If this fails, throw an error and quit.
csv_file = urllib2.urlopen(url)

# Convert the contents of the CSV file to a list.
# If this fails, throw an error and quit.
Report = csv.reader(csv_file)

# Iterate through each line in the report.
for row in Report:

	# If this is the first row, store its length.
	# Ignore the header row, though count how many values it has.
	total_columns = len(row)
	
	# Throw an error for any row that has fewer values than the header row.
	
	
	# Make modifications to all fields that require normalization
	print ', '.join(row)


# Convert list back to a CSV file and write to the filesystem.

# Create a SQL file that will create the table(s) and load the CSV from file.

# Echo instructions for how to load the SQL into MySQL.
	
"""
Mapping of field values to SQL column.

ReportId					mediumint unsigned
AccountId					38 (ignore brackets?)
CommitteeCode				varchar (12)
CommitteeName				varchar (not null)
CommitteeType				enum (create list based on distinct values)<commit_msg>Starting to clean up provided data<commit_after># Import needed libraries.
import csv, urllib2, re, time

# This will only work for the month of April. Because there's no single URL for the report, it's
# going to be necessary to either iterate through all directories or get the most recent one. Until
# the SBE documents or explains what they're doing here, it's tough to know what do with this.
url = 'http://www.sbe.virginia.gov/sbe_csv/CF/2012_04/Report.csv'

# Retrieve the contents of the CSV report file from the SBE's server.
# If this fails, throw an error and quit.
csv_file = urllib2.urlopen(url)

# Convert the contents of the CSV file to a list.
# If this fails, throw an error and quit.
Report = csv.reader(csv_file)

# Iterate through each line in the report.
for counter, row in enumerate(Report):

	if counter == 0:
		# Save the header row as our column names.
		column_names = row
		continue
		
	# Throw an error for any row that has fewer values than the header row.
	elif len(row) < len(column_names):
		#exception 'Ignoring the following row because it has fewer values than the header row.'
		print ', '.join(row)

	else:
		# Make modifications to all fields that require normalization
		row = dict(zip(column_names, row))
		
		# Normalize phone number formatting by removing everything non-numeric and then applying
		# a standard hyphenation mask.
		row['SubmitterPhone'] = re.sub('[^0-9]','', row['SubmitterPhone'])
		row['SubmitterPhone'] = row['SubmitterPhone'][:3] + '-' + row['SubmitterPhone'][3:6] + '-' + row['SubmitterPhone'][6:]
		
		# The ElectionCycle field is frequently empty. (Which doesn't make sense, intuitively, but
		# there it is.) When it is populated, it's in MM/YYYY format, unlike all other dates in the
		# file. Modify the format to be YYYY-MM-01 based.
		if len(row['ElectionCycle']) > 0:
			row['ElectionCycle'] = time.strftime('%Y-%m-%d', time.strptime(row['ElectionCycle'], '%m/%Y'))
		
		print (row)


# Convert list back to a CSV file and write to the filesystem.

# Create a SQL file that will create the table(s) and load the CSV from file.

# Echo instructions for how to load the SQL into MySQL.
	
"""
Mapping of field values to SQL column.

ReportId					mediumint unsigned
AccountId					38
CommitteeCode				varchar (12)
CommitteeName				varchar (not null)
CommitteeType				enum (create list based on distinct values)
{'fraction_non_alphanumeric': 0.0859375, 'fraction_numerical': 0.0078125, 'mean_word_length': 3.870923913043478, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2784936', 'n_tokens_mistral': 1172, 'n_tokens_neox': 1058, 'n_words': 486}