def check_smoke_test(dpae_filename):
logger.info("check smoke test...")
lines = get_n_lines(dpae_filename, n=3)
for line in lines:
logger.info("sample line: %r" % line)
parse_dpae_line(line)
logger.info("smoke test OK!")
def check_complete_test(dpae_filename):
logger.info("check complete test...")
lines = get_n_lines(dpae_filename, n=20)
success = 0
errors = 0
for line in lines:
try:
parse_dpae_line(line)
success += 1
except:
errors += 1
logger.info("%i lines parsed with success", success)
logger.info("%i lines parsed with error", errors)
error_rate = errors / (1.0 * (success + errors))
logger.info("error rate: %i", error_rate)
if error_rate >= settings.DPAE_ERROR_RATE_MAX:
raise "error_rate too high"
logger.info("complete test OK!")
def run_task(self):
logger.info("extracting %s ", self.input_filename)
# this pattern matches the first date
# e.g. 'LBB_XDPDPAE_2018-09-12_2017-08-01.bz2'
# will match 2018-09-12
date_pattern = r'.*_(\d\d\d\d-\d\d-\d\d)_'
date_match = re.match(date_pattern, self.input_filename)
if date_match:
date_part = date_match.groups()[0]
self.last_historical_data_date_in_file = datetime.strptime(
date_part, "%Y-%m-%d")
logger.debug("identified last_historical_data_date_in_file=%s",
self.last_historical_data_date_in_file)
else:
raise Exception(
"couldn't find a date pattern in filename. filename should be \
like LBB_XDPDPAE_YYYY-MM-DD_YYYY-MM-DD.csv")
count = 0
statements = []
something_new = False
query = """
INSERT into %s(
siret,
hiring_date,
contract_type,
departement,
contract_duration,
iiann,
tranche_age,
handicap_label,
duree_pec
)
values(%%s, %%s, %%s, %%s, %%s, %%s, %%s, %%s, %%s)
""" % settings.HIRING_TABLE
imported_dpae = 0
imported_dpae_distribution = {}
not_imported_dpae = 0
last_historical_data_date_in_db = DpaeStatistics.get_last_historical_data_date(
)
logger.info(
"will now extract all dpae with hiring_date between %s and %s",
last_historical_data_date_in_db,
self.last_historical_data_date_in_file)
with import_util.get_reader(self.input_filename) as myfile:
con, cur = import_util.create_cursor()
header_line = myfile.readline().strip(
) # FIXME detect column positions from header
if b"siret" not in header_line:
logger.debug(header_line)
raise Exception("wrong header line")
for line in myfile:
line = line.decode()
count += 1
if not count % 100000:
logger.debug("reading line %i", count)
try:
try:
cur.executemany(query, statements)
except OperationalError: # retry once in case of deadlock error
time.sleep(10)
cur.executemany(query, statements)
statements = []
con.commit()
something_new = True
except:
logger.error(
"error in executing statement into dpae table: %s",
sys.exc_info()[1])
statements = []
raise
try:
siret, hiring_date, _, contract_type, departement, contract_duration, \
iiann, tranche_age, handicap_label, duree_pec = parse_dpae_line(line)
except ValueError:
self.zipcode_errors += 1
continue
except InvalidRowException:
logger.info("invalid_row met at row: %i", count)
self.invalid_row_errors += 1
continue
dpae_should_be_imported = (
hiring_date > last_historical_data_date_in_db
and hiring_date <= self.last_historical_data_date_in_file
# For DPAE contracts we only keep all CDI, only long enough CDD (at least 31 days)
# and we ignore CTT.
and (contract_type == Hiring.CONTRACT_TYPE_CDI or
(contract_type == Hiring.CONTRACT_TYPE_CDD
and contract_duration is not None
and contract_duration > 31)))
if dpae_should_be_imported:
statement = (
siret,
hiring_date,
contract_type,
departement,
contract_duration,
iiann,
tranche_age,
handicap_label,
duree_pec,
)
statements.append(statement)
imported_dpae += 1
if hiring_date.year not in imported_dpae_distribution:
imported_dpae_distribution[hiring_date.year] = {}
if hiring_date.month not in imported_dpae_distribution[
hiring_date.year]:
imported_dpae_distribution[hiring_date.year][
hiring_date.month] = {}
if hiring_date.day not in imported_dpae_distribution[
hiring_date.year][hiring_date.month]:
imported_dpae_distribution[hiring_date.year][
hiring_date.month][hiring_date.day] = 0
imported_dpae_distribution[hiring_date.year][
hiring_date.month][hiring_date.day] += 1
else:
not_imported_dpae += 1
# run remaining statements
try:
cur.executemany(query, statements)
something_new = True
except:
logger.error("error in executing statement into dpae table: %s",
sys.exc_info()[1])
raise
logger.info("processed %i dpae...", count)
logger.info("imported dpae: %i", imported_dpae)
logger.info("not imported dpae: %i", not_imported_dpae)
logger.info("zipcode errors: %i", self.zipcode_errors)
logger.info("invalid_row errors: %i", self.invalid_row_errors)
if self.zipcode_errors > settings.MAXIMUM_ZIPCODE_ERRORS:
raise IOError('too many zipcode errors')
if self.invalid_row_errors > settings.MAXIMUM_INVALID_ROWS:
raise IOError('too many invalid_row errors')
con.commit()
cur.close()
con.close()
statistics = DpaeStatistics(
last_import=datetime.now(),
most_recent_data_date=self.last_historical_data_date_in_file,
)
statistics.save()
logger.info("finished importing dpae...")
return something_new
def run_task(self):
date_insertion = datetime.now()
logger.info("extracting %s ", self.input_filename)
# this pattern matches the first date
# e.g. 'lbb_xdpdpae_delta_201611102200.bz2'
# will match 2018-09-12
date_pattern = r'.*_(\d\d\d\d\d\d\d\d)\d\d\d\d' #We keep only the date in the file name, ex: 20190910 = 10th september 2019
date_match = re.match(date_pattern, self.input_filename)
if date_match:
date_part = date_match.groups()[0]
self.last_historical_data_date_in_file = datetime.strptime(
date_part, "%Y%m%d")
logger.debug("identified last_historical_data_date_in_file=%s",
self.last_historical_data_date_in_file)
else:
raise Exception(
"couldn't find a date pattern in filename. filename should be \
like lbb_xdpdpae_delta_YYYYMMDDHHMM.csv")
count = 0
statements = []
something_new = False
query = """
INSERT into %s(
siret,
hiring_date,
contract_type,
departement,
contract_duration,
iiann,
tranche_age,
handicap_label,
duree_pec,
date_insertion
)
values(%%s, %%s, %%s, %%s, %%s, %%s, %%s, %%s, %%s, %%s)
""" % settings.HIRING_TABLE
imported_dpae = 0
imported_dpae_distribution = {}
not_imported_dpae = 0
last_historical_data_date_in_db = db_session.query(func.max(Hiring.hiring_date)) \
.filter(Hiring.contract_type.in_((Hiring.CONTRACT_TYPE_CDI,
Hiring.CONTRACT_TYPE_CDD,
Hiring.CONTRACT_TYPE_CTT))).first()[0]
if last_historical_data_date_in_db is None:
last_historical_data_date_in_db = DEFAULT_DATETIME_DPAE
logger.info(
"will now extract all dpae with hiring_date between %s and %s",
last_historical_data_date_in_db,
self.last_historical_data_date_in_file)
with import_util.get_reader(self.input_filename) as myfile:
con, cur = import_util.create_cursor()
header_line = myfile.readline().strip(
) # FIXME detect column positions from header
if b"siret" not in header_line:
logger.debug(header_line)
raise Exception("wrong header line")
for line in myfile:
line = line.decode()
count += 1
if not count % 100000:
logger.debug("reading line %i", count)
try:
try:
cur.executemany(query, statements)
except OperationalError: # retry once in case of deadlock error
time.sleep(10)
cur.executemany(query, statements)
statements = []
con.commit()
something_new = True
except:
logger.error(
"error in executing statement into dpae table: %s",
sys.exc_info()[1])
statements = []
raise
try:
siret, hiring_date, _, contract_type, departement, contract_duration, \
iiann, tranche_age, handicap_label, duree_pec = parse_dpae_line(line)
except ValueError:
self.zipcode_errors += 1
continue
except InvalidRowException:
logger.info("invalid_row met at row: %i", count)
self.invalid_row_errors += 1
continue
dpae_should_be_imported = (
hiring_date > last_historical_data_date_in_db
and hiring_date <= self.last_historical_data_date_in_file
# For DPAE contracts we only keep all CDI, only long enough CDD (at least 31 days)
# and we ignore CTT.
and (contract_type == Hiring.CONTRACT_TYPE_CDI or
(contract_type == Hiring.CONTRACT_TYPE_CDD
and contract_duration is not None
and contract_duration > 31)))
if dpae_should_be_imported:
statement = (siret, hiring_date, contract_type,
departement, contract_duration, iiann,
tranche_age, handicap_label, duree_pec,
date_insertion)
statements.append(statement)
imported_dpae += 1
if hiring_date.year not in imported_dpae_distribution:
imported_dpae_distribution[hiring_date.year] = {}
if hiring_date.month not in imported_dpae_distribution[
hiring_date.year]:
imported_dpae_distribution[hiring_date.year][
hiring_date.month] = {}
if hiring_date.day not in imported_dpae_distribution[
hiring_date.year][hiring_date.month]:
imported_dpae_distribution[hiring_date.year][
hiring_date.month][hiring_date.day] = 0
imported_dpae_distribution[hiring_date.year][
hiring_date.month][hiring_date.day] += 1
else:
not_imported_dpae += 1
# run remaining statements
try:
cur.executemany(query, statements)
something_new = True
except:
logger.error("error in executing statement into dpae table: %s",
sys.exc_info()[1])
raise
logger.info("processed %i dpae...", count)
logger.info("imported dpae: %i", imported_dpae)
logger.info("not imported dpae: %i", not_imported_dpae)
logger.info("zipcode errors: %i", self.zipcode_errors)
logger.info("invalid_row errors: %i", self.invalid_row_errors)
if self.zipcode_errors > settings.MAXIMUM_ZIPCODE_ERRORS:
raise IOError('too many zipcode errors')
if self.invalid_row_errors > settings.MAXIMUM_INVALID_ROWS:
raise IOError('too many invalid_row errors')
logger.info("verifying good number of dpae imported.")
query = "select count(*) from hirings h where hiring_date > %s and hiring_date <= %s and h.contract_type in (1,2,3)"
cur.execute(query, [
last_historical_data_date_in_db,
self.last_historical_data_date_in_file
])
res = cur.fetchone()
if res[0] != imported_dpae:
raise DoublonException(
f"Too many DPAE ({res[0]}) in DB compared to DPAE file ({imported_dpae})."
)
logger.info("verifying number of DPAE: OK.")
con.commit()
cur.close()
con.close()
try:
statistics = DpaeStatistics(
last_import=datetime.now(),
most_recent_data_date=self.last_historical_data_date_in_file,
file_type=self.file_type)
db_session.add(statistics)
db_session.commit()
logger.info("First way to insert DPAE statistics in DB : OK")
except OperationalError:
# For an obscure reason, the DpaeStatistics way to insert does not work on the bonaparte server
# So we insert it directly via an SQL query
# This job has been broken for more than a year, only way to fix it :
db_session.rollback()
last_import_date = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
most_recent_date = self.last_historical_data_date_in_file.strftime(
'%Y-%m-%d %H:%M:%S')
query = f"insert into dpae_statistics (last_import, most_recent_data_date, file_type) values ('{last_import_date}','{most_recent_date}','{self.file_type}')"
con, cur = import_util.create_cursor()
cur.execute(query)
con.commit()
cur.close()
con.close()
logger.info("Second way to insert DPAE statistics in DB : OK")
logger.info("finished importing dpae...")
return something_new
def run_task(self):
logger.info("extracting %s ", self.input_filename)
date_pattern = ".*_(\d\d\d\d\d\d\d\d)"
date_match = re.match(date_pattern, self.input_filename)
if date_match:
date_part = date_match.groups()[-1]
self.most_recent_data_date = datetime.strptime(date_part, "%Y%m%d")
logger.debug("identified most_recent_data_date=%s" %
self.most_recent_data_date)
else:
raise Exception(
"couldn't find a date pattern in filename. filename should be dpae_XYZ_20xxxxxx.tar.gz"
)
count = 0
statements = []
something_new = False
query = "INSERT into %s(siret, hiring_date, zipcode, contract_type, departement, contract_duration, iiann, tranche_age, handicap_label) values(%%s, %%s, %%s, %%s, %%s, %%s, %%s, %%s, %%s)" % settings.DPAE_TABLE
imported_dpae = 0
imported_dpae_distribution = {}
not_imported_dpae = 0
initial_most_recent_data_date = DpaeStatistics.get_most_recent_data_date(
)
logger.info(
"will now extract all dpae with hiring_date between %s and %s" %
(initial_most_recent_data_date, self.most_recent_data_date))
with import_util.get_reader(self.input_filename) as myfile:
con, cur = import_util.create_cursor()
header_line = myfile.readline().strip()
if "siret" not in header_line:
logger.debug(header_line)
raise Exception("wrong header line")
for line in myfile:
count += 1
if not count % 100000:
logger.debug("reading line %i", count)
try:
try:
cur.executemany(query, statements)
except OperationalError: # retry once in case of deadlock error
time.sleep(10)
cur.executemany(query, statements)
statements = []
con.commit()
something_new = True
except:
logger.error(
"error in executing statement into dpae table: %s",
sys.exc_info()[1])
statements = []
raise
try:
siret, hiring_date, zipcode, contract_type, departement, contract_duration, iiann, tranche_age, handicap_label = parse_dpae_line(
line)
except ValueError:
self.zipcode_errors += 1
continue
except DepartementException:
self.zipcode_errors += 1
continue
except TooFewFieldsException:
logger.info("invalid_row met at row: %i", count)
self.invalid_row_errors += 1
continue
if hiring_date > initial_most_recent_data_date and hiring_date <= self.most_recent_data_date:
statement = (siret, hiring_date, zipcode, contract_type,
departement, contract_duration, iiann,
tranche_age, handicap_label)
statements.append(statement)
imported_dpae += 1
if hiring_date.year not in imported_dpae_distribution:
imported_dpae_distribution[hiring_date.year] = {}
if hiring_date.month not in imported_dpae_distribution[
hiring_date.year]:
imported_dpae_distribution[hiring_date.year][
hiring_date.month] = {}
if hiring_date.day not in imported_dpae_distribution[
hiring_date.year][hiring_date.month]:
imported_dpae_distribution[hiring_date.year][
hiring_date.month][hiring_date.day] = 0
imported_dpae_distribution[hiring_date.year][
hiring_date.month][hiring_date.day] += 1
else:
not_imported_dpae += 1
# run remaining statements
try:
cur.executemany(query, statements)
something_new = True
except:
logger.error("error in executing statement into dpae table: %s",
sys.exc_info()[1])
raise
logger.info("processed %i dpae...", count)
logger.info("imported dpae: %i", imported_dpae)
logger.info("not imported dpae: %i", not_imported_dpae)
logger.info("zipcode errors: %i", self.zipcode_errors)
logger.info("invalid_row errors: %i", self.invalid_row_errors)
if self.zipcode_errors >= 100:
raise Exception('too many zipcode errors')
if self.invalid_row_errors >= 100:
raise Exception('too many invalid_row errors')
statistics = DpaeStatistics(
last_import=datetime.now(),
most_recent_data_date=self.most_recent_data_date)
statistics.save()
con.commit()
logger.info("finished importing dpae...")
return something_new