def get_jurisdiction_roles():
jurisdiction_roles = []
for role in current_user.roles:
if not role.name:
logger.warning("User Role %s has no name", role)
continue
parts = role.name.split('_', maxsplit=1)
if len(parts) != 2:
logger.warning(
"User role %s does not have two parts,"
"cannot process into jurisdiction and event type",
role.name
)
continue
jurisdiction, event_type = parts
try:
schema_file = load_schema_file(event_type)
except FileNotFoundError:
logger.warning('User belongs to event_type %s that has no schema file', event_type)
continue
jurisdiction_roles.append({
'jurisdictionSlug': jurisdiction,
'jurisdiction': PRETTY_JURISDICTION_MAP.get(jurisdiction, jurisdiction),
'eventTypeSlug': event_type,
'eventType': schema_file.get('name')
})
return jurisdiction_roles
def add_missing_fields(event_type, infilename):
goodtables_schema = load_schema_file(event_type)
schema_fields = goodtables_schema['fields']
outfilename = infilename + '.filled'
delimiter = infer_delimiter(infilename)
with open(infilename, 'rb') as infileobj, open(outfilename,
'wb') as outfileobj:
reader = csv.DictReader(lower_first(infileobj), delimiter=delimiter)
writer = csv.DictWriter(
outfileobj,
fieldnames=[field['name'] for field in schema_fields],
quoting=csv.QUOTE_MINIMAL)
writer.writeheader()
try:
for line in reader:
newline = {}
for field in schema_fields:
field_name = field['name']
if field_name not in line or not line[field_name]:
if field['type'] == 'integer':
newline[field_name] = None
else:
newline[field_name] = ''
else:
if field['type'] == 'string':
newline[field_name] = line[field_name].strip()
else:
newline[field_name] = line[field_name]
writer.writerow(newline)
except Exception as e:
raise ValueError('Line %s has error: %s', reader.line_num, e)
return outfilename
def create_merged_table(jurisdiction, event_type, db_session):
master_table_name = generate_master_table_name(jurisdiction, event_type)
goodtables_schema = load_schema_file(event_type)
full_column_list = master_table_column_list(goodtables_schema)
create = create_statement_from_column_list(full_column_list,
master_table_name,
goodtables_schema['primaryKey'])
# create table if it does not exist
logging.info('Assembled create-if-not-exists table statement: %s', create)
db_session.execute(create)
def create_and_populate_merged_table(table_name, data, db_engine):
schema = load_schema_file('test')
n_fields = len(schema['fields'])
for row in data:
assert len(row) == n_fields, "sample merged data must have same # of fields as test schema"
placeholder_string = ', '.join(['%s'] * n_fields)
master_table_name = generate_master_table_name('test', 'test')
column_list = master_table_column_list(schema)
create = create_statement_from_column_list(column_list)
db_engine.execute(create)
for row in data:
db_engine.execute('insert into "{}" values ({}, now(), now())'.format(master_table_name, placeholder_string), *row)
def create_and_populate_raw_table(raw_table, data, db_engine):
schema = load_schema_file('test')
n_fields = len(schema['fields'])
for row in data:
assert len(row) == n_fields, "sample raw data must have same # of fields as test schema"
placeholder_string = ', '.join(['%s'] * n_fields)
create = create_statement_from_goodtables_schema(schema, raw_table)
db_engine.execute(create)
for row in data:
db_engine.execute('insert into "{}" values ({})'.format(raw_table, placeholder_string), *row)
db_engine.execute('insert into upload_log (id, jurisdiction_slug, event_type_slug) values (%s, %s, %s)', raw_table, 'test', 'test')
def validate_header(event_type, filename_without_all_fields):
goodtables_schema = load_schema_file(event_type)
schema_fields = goodtables_schema['fields']
delimiter = infer_delimiter(filename_without_all_fields)
required_field_names = set(
field['name'] for field in schema_fields
if field.get('constraints', {}).get('required', False))
with open(filename_without_all_fields, 'rb') as infileobj:
reader = csv.DictReader(lower_first(infileobj), delimiter=delimiter)
first_line = next(reader)
for required_field_name in required_field_names:
if required_field_name not in first_line:
raise ValueError(
f"Field name {required_field_name} is required for {event_type} schema but is not present"
)
def upsert_raw_table_to_master(raw_table_name, jurisdiction, event_type,
upload_id, db_session):
create_merged_table(jurisdiction, event_type, db_session)
master_table_name = generate_master_table_name(jurisdiction, event_type)
goodtables_schema = load_schema_file(event_type)
base_column_list = column_list_from_goodtables_schema(goodtables_schema)
# use new postgres 'on conflict' functionality to upsert
update_statements = [
' "{column}" = EXCLUDED."{column}"'.format(column=column_def[0])
for column_def in base_column_list
]
start_ts = datetime.today()
insert_sql = '''
insert into {master}
select raw.*, '{new_ts}' inserted_ts, '{new_ts}' updated_ts, row_number() over ()::text || '{event_type}' as matched_id
from "{raw}" as raw
on conflict ({primary_key})
do update set {update_string}, updated_ts = '{new_ts}'
'''.format(raw=raw_table_name,
master=master_table_name,
event_type=event_type,
primary_key=', '.join([
"\"{}\"".format(col)
for col in goodtables_schema['primaryKey']
]),
update_string=', '.join(update_statements),
new_ts=start_ts.isoformat())
logging.info('Executing insert: %s', insert_sql)
db_session.execute(insert_sql)
end_ts = datetime.today()
merge_log = MergeLog(
upload_id=upload_id,
total_unique_rows=total_unique_rows(raw_table_name,
goodtables_schema['primaryKey'],
db_session),
new_unique_rows=new_unique_rows(master_table_name, start_ts,
db_session),
merge_start_timestamp=start_ts,
merge_complete_timestamp=end_ts,
)
db_session.add(merge_log)
db_session.execute('drop table "{}"'.format(raw_table_name))
db_session.commit()
return merge_log.id
def copy_raw_table_to_db(full_path, event_type, upload_id, db_engine):
goodtables_schema = load_schema_file(event_type)
logging.info('Loaded schema: %s', goodtables_schema)
table_name = generate_raw_table_name(upload_id)
create_statement = create_statement_from_goodtables_schema(
goodtables_schema, table_name)
logging.info('Assembled create table statement: %s', create_statement)
db_engine.execute(create_statement)
logging.info('Successfully created table')
primary_key = primary_key_statement(goodtables_schema['primaryKey'])
with open_sesame(full_path, 'rb') as infile:
conn = db_engine.raw_connection()
cursor = conn.cursor()
copy_stmt = 'copy "{}" from stdin with csv force not null {} header delimiter as \',\' '.format(
table_name, primary_key)
try:
cursor.copy_expert(copy_stmt, infile)
conn.commit()
except psycopg2.IntegrityError as e:
error_message = str(e)
conn.rollback()
if 'duplicate key value violates unique constraint' not in error_message:
raise
error_message_lines = error_message.split('\n')
if len(error_message_lines) < 3:
raise
line_no_match = re.match(r'^.*(line \d+)',
error_message.split('\n')[2])
if not line_no_match:
raise
line_no = line_no_match.group(1)
raise ValueError(
f"Duplicate key value found on {line_no}. {error_message_lines[1]}"
)
finally:
conn.close()
logging.info('Successfully loaded file')
return table_name
def write_matches_to_db(db_engine, event_type, jurisdiction,
matches_filehandle):
goodtables_schema = load_schema_file(event_type)
table_name = generate_master_table_name(event_type=event_type,
jurisdiction=jurisdiction)
logging.info('Writing matches for %s / %s to table %s', event_type,
jurisdiction, table_name)
reader = csv.reader(matches_filehandle, delimiter='|')
ordered_column_names = next(reader)
matches_filehandle.seek(0)
# 1. create pseudo-temporary table for the raw matches file
# use the CSV's column order but grab the definitions from the goodtables schema
unordered_column_list = column_list_from_goodtables_schema(
goodtables_schema)
primary_key = goodtables_schema['primaryKey']
all_columns = [
('matched_id', 'varchar')
] + [col for col in unordered_column_list if col[0] in primary_key]
column_definitions = dict((col[0], col) for col in all_columns)
ordered_column_list = [
column_definitions[ordered_column_name]
for ordered_column_name in ordered_column_names
]
logging.info('Final column list for temporary matches-only table: %s',
ordered_column_list)
create = create_statement_from_column_list(ordered_column_list, table_name,
primary_key)
temp_table_name = 'temp_matched_merge_tbl'
create = create.replace(table_name, temp_table_name)
logging.info(create)
db_engine.execute(create)
# 2. copy data from filehandle to
conn = db_engine.raw_connection()
cursor = conn.cursor()
pk = ','.join([col for col in primary_key])
copy_stmt = 'copy {} from stdin with csv header delimiter as \'|\' force not null {}'.format(
temp_table_name, pk)
try:
logging.info(copy_stmt)
cursor.copy_expert(copy_stmt, matches_filehandle)
logging.info('Status message after COPY: %s', cursor.statusmessage)
for notice in conn.notices:
logging.info('Notice from database connection: %s', notice)
conn.commit()
cursor = conn.cursor()
cursor.execute('select * from {} limit 5'.format(temp_table_name))
logging.info('First five rows: %s', [row for row in cursor])
big_query = """
update {matched_table} as m set matched_id = regexp_replace(tmp.matched_id::text, '[^\w]', '', 'g')
from {temp_table_name} tmp where ({pk}) """.format(
create=create,
matched_table=table_name,
temp_table_name=temp_table_name,
pk=' and '.join([
'tmp.{col} = m.{col}'.format(col=col) for col in primary_key
]))
logging.info('Updating matches in %s with rows from %s', table_name,
temp_table_name)
logging.info(big_query)
cursor.execute(big_query)
logging.info('Status message after UPDATE: %s', cursor.statusmessage)
conn.commit()
except Exception as e:
logging.error(
'Error encountered! Rolling back merge of matched ids. Original error: %s',
str(e))
conn.rollback()
finally:
db_engine.execute('drop table if exists {}'.format(temp_table_name))
import os
parser = argparse.ArgumentParser(description='Test a DDJ schema file')
parser.add_argument('--jurisdiction', dest='jurisdiction', type=str)
parser.add_argument('--event-type', dest='event_type', type=str)
parser.add_argument('--row-limit', dest='row_limit', type=int)
parser.add_argument('--print-errors', dest='print_errors_of_type', type=str)
args = parser.parse_args()
path = '{}/{}/{}'.format(os.environ['MATCHING_DATA_PATH'], args.jurisdiction,
args.event_type)
print(args.jurisdiction)
print(args.event_type)
print(args.row_limit)
print(args.print_errors_of_type)
schema = load_schema_file(args.event_type)
colname_lookup = dict((colindex + 1, field['name'])
for colindex, field in enumerate(schema['fields']))
print(colname_lookup)
report = tasks.fill_and_validate(args.event_type, path, args.row_limit)
print(report['error-count'])
counter = Counter()
print('\n\n\n\n\n')
print('------------------------------')
print('PRINTING FIRST 10 ERRORS')
print('------------------------------')
print('\n\n\n\n\n')
print(counter)
for error_num in range(0, min(report['error-count'], 10)):
print(report['tables'][0]['errors'][error_num])
for error in report['tables'][0]['errors']:
