def test_txn_assistance_get_or_create():
"""Test TransactionFABS.get_or_create_2 method."""
agency1 = mommy.make("references.Agency")
awd1 = mommy.make("awards.Award", awarding_agency=agency1)
txn1 = mommy.make(
"awards.TransactionNormalized",
award=awd1,
modification_number="1",
awarding_agency=agency1,
last_modified_date=date(2012, 3, 1),
)
mommy.make(
"awards.TransactionFABS",
transaction=txn1,
business_funds_indicator="a",
record_type=1,
total_funding_amount=1000.00,
)
assert TransactionFABS.objects.all().count() == 1
# an updated transaction should also update existing TranactionAssistance
# data, not insert a new record
ta_dict = {
"business_funds_indicator": "c",
"record_type": 2,
"total_funding_amount": 2000
}
ta2 = TransactionFABS.get_or_create_2(txn1, **ta_dict)
ta2.save()
assert TransactionFABS.objects.all().count() == 1
t = TransactionNormalized.objects.get(id=txn1.id)
assert t.assistance_data.business_funds_indicator == "c"
assert t.assistance_data.record_type == 2
assert t.assistance_data.total_funding_amount == "2000"
# a new transaction gets a new TransactionFABS record
ta_dict = {
"business_funds_indicator": "z",
"record_type": 5,
"total_funding_amount": 8000
}
ta3 = TransactionFABS.get_or_create_2(
mommy.make("awards.TransactionNormalized"), **ta_dict)
ta3.save()
assert TransactionFABS.objects.all().count() == 2
def test_txn_assistance_get_or_create():
"""Test TransactionFABS.get_or_create_2 method."""
agency1 = mommy.make('references.Agency')
awd1 = mommy.make('awards.Award', awarding_agency=agency1)
txn1 = mommy.make(
'awards.TransactionNormalized',
award=awd1,
modification_number='1',
awarding_agency=agency1,
last_modified_date=date(2012, 3, 1),
)
mommy.make('awards.TransactionFABS',
transaction=txn1,
business_funds_indicator='a',
record_type=1,
total_funding_amount=1000.00)
assert TransactionFABS.objects.all().count() == 1
# an updated transaction should also update existing TranactionAssistance
# data, not insert a new record
ta_dict = {
'business_funds_indicator': 'c',
'record_type': 2,
'total_funding_amount': 2000,
}
ta2 = TransactionFABS.get_or_create_2(txn1, **ta_dict)
ta2.save()
assert TransactionFABS.objects.all().count() == 1
t = TransactionNormalized.objects.get(id=txn1.id)
assert t.assistance_data.business_funds_indicator == 'c'
assert t.assistance_data.record_type == 2
assert t.assistance_data.total_funding_amount == '2000'
# a new transaction gets a new TransactionFABS record
ta_dict = {
'business_funds_indicator': 'z',
'record_type': 5,
'total_funding_amount': 8000,
}
ta3 = TransactionFABS.get_or_create_2(
mommy.make('awards.TransactionNormalized'), **ta_dict)
ta3.save()
assert TransactionFABS.objects.all().count() == 2
def load_transaction_fabs(self, fabs_broker_data, total_rows):
logger.info('Starting bulk loading for FABS data')
start_time = datetime.now()
for index, row in enumerate(fabs_broker_data, 1):
if not (index % 10000):
logger.info('Transaction FABS: Loading row {} of {} ({})'.format(str(index),
str(total_rows),
datetime.now() - start_time))
fabs_instance_data = load_data_into_model(
TransactionFABS(), # thrown away
row,
as_dict=True)
fabs_instance = TransactionFABS(**fabs_instance_data)
fabs_instance.transaction = transaction_normalized_bulk[index - 1]
fabs_bulk.append(fabs_instance)
logger.info('Bulk creating Transaction FABS (batch_size: {})...'.format(BATCH_SIZE))
TransactionFABS.objects.bulk_create(fabs_bulk, batch_size=BATCH_SIZE)
def load_transaction_fabs(self, fabs_broker_data, total_rows):
logger.info('Starting bulk loading for FABS data')
start_time = datetime.now()
for index, row in enumerate(fabs_broker_data, 1):
if not (index % 10000):
logger.info(
'Transaction FABS: Loading row {} of {} ({})'.format(
str(index), str(total_rows),
datetime.now() - start_time))
fabs_instance_data = load_data_into_model(
TransactionFABS(), # thrown away
row,
as_dict=True)
fabs_instance = TransactionFABS(**fabs_instance_data)
fabs_instance.transaction = transaction_normalized_bulk[index - 1]
fabs_bulk.append(fabs_instance)
logger.info(
'Bulk creating Transaction FABS (batch_size: {})...'.format(
BATCH_SIZE))
TransactionFABS.objects.bulk_create(fabs_bulk, batch_size=BATCH_SIZE)
def insert_new_fabs(self, to_insert):
place_of_performance_field_map = {
"location_country_code": "place_of_perform_country_c",
"country_name": "place_of_perform_country_n",
"state_code": "place_of_perfor_state_code",
"state_name": "place_of_perform_state_nam",
"city_name": "place_of_performance_city",
"county_name": "place_of_perform_county_na",
"county_code": "place_of_perform_county_co",
"foreign_location_description": "place_of_performance_forei",
"zip_4a": "place_of_performance_zip4a",
"congressional_code": "place_of_performance_congr",
"performance_code": "place_of_performance_code",
"zip_last4": "place_of_perform_zip_last4",
"zip5": "place_of_performance_zip5",
}
legal_entity_location_field_map = {
"location_country_code": "legal_entity_country_code",
"country_name": "legal_entity_country_name",
"state_code": "legal_entity_state_code",
"state_name": "legal_entity_state_name",
"city_name": "legal_entity_city_name",
"city_code": "legal_entity_city_code",
"county_name": "legal_entity_county_name",
"county_code": "legal_entity_county_code",
"address_line1": "legal_entity_address_line1",
"address_line2": "legal_entity_address_line2",
"address_line3": "legal_entity_address_line3",
"foreign_location_description": "legal_entity_foreign_descr",
"congressional_code": "legal_entity_congressional",
"zip_last4": "legal_entity_zip_last4",
"zip5": "legal_entity_zip5",
"foreign_postal_code": "legal_entity_foreign_posta",
"foreign_province": "legal_entity_foreign_provi",
"foreign_city_name": "legal_entity_foreign_city",
}
for row in to_insert:
upper_case_dict_values(row)
# Create new LegalEntityLocation and LegalEntity from the row data
legal_entity_location = create_location(
legal_entity_location_field_map, row, {"recipient_flag": True})
recipient_name = row['awardee_or_recipient_legal']
legal_entity = LegalEntity.objects.create(
recipient_unique_id=row['awardee_or_recipient_uniqu'],
recipient_name=recipient_name
if recipient_name is not None else "",
parent_recipient_unique_id=row['ultimate_parent_unique_ide'],
)
legal_entity_value_map = {
"location":
legal_entity_location,
"business_categories":
get_business_categories(row=row, data_type='fabs'),
"business_types_description":
row['business_types_desc'],
}
legal_entity = load_data_into_model(
legal_entity, row, value_map=legal_entity_value_map, save=True)
# Create the place of performance location
pop_location = create_location(place_of_performance_field_map, row,
{"place_of_performance_flag": True})
# Find the toptier awards from the subtier awards
awarding_agency = Agency.get_by_subtier_only(
row["awarding_sub_tier_agency_c"])
funding_agency = Agency.get_by_subtier_only(
row["funding_sub_tier_agency_co"])
# Generate the unique Award ID
# "ASST_AW_" + awarding_sub_tier_agency_c + fain + uri
# this will raise an exception if the cast to an int fails, that's ok since we don't want to process
# non-numeric record type values
record_type_int = int(row['record_type'])
if record_type_int == 1:
uri = row['uri'] if row['uri'] else '-NONE-'
fain = '-NONE-'
elif record_type_int in (2, 3):
uri = '-NONE-'
fain = row['fain'] if row['fain'] else '-NONE-'
else:
msg = "Invalid record type encountered for the following afa_generated_unique record: {}"
raise Exception(msg.format(row['afa_generated_unique']))
astac = row["awarding_sub_tier_agency_c"] if row[
"awarding_sub_tier_agency_c"] else "-NONE-"
generated_unique_id = "ASST_AW_{}_{}_{}".format(astac, fain, uri)
# Create the summary Award
(created, award) = Award.get_or_create_summary_award(
generated_unique_award_id=generated_unique_id,
fain=row['fain'],
uri=row['uri'],
record_type=row['record_type'],
)
award.save()
# Append row to list of Awards updated
AWARD_UPDATE_ID_LIST.append(award.id)
try:
last_mod_date = datetime.strptime(str(
row['modified_at']), "%Y-%m-%d %H:%M:%S.%f").date()
except ValueError:
last_mod_date = datetime.strptime(str(row['modified_at']),
"%Y-%m-%d %H:%M:%S").date()
parent_txn_value_map = {
"award":
award,
"awarding_agency":
awarding_agency,
"funding_agency":
funding_agency,
"recipient":
legal_entity,
"place_of_performance":
pop_location,
"period_of_performance_start_date":
format_date(row['period_of_performance_star']),
"period_of_performance_current_end_date":
format_date(row['period_of_performance_curr']),
"action_date":
format_date(row['action_date']),
"last_modified_date":
last_mod_date,
"type_description":
row['assistance_type_desc'],
"transaction_unique_id":
row['afa_generated_unique'],
"generated_unique_award_id":
generated_unique_id,
}
fad_field_map = {
"type": "assistance_type",
"description": "award_description",
"funding_amount": "total_funding_amount",
}
transaction_normalized_dict = load_data_into_model(
TransactionNormalized(), # thrown away
row,
field_map=fad_field_map,
value_map=parent_txn_value_map,
as_dict=True,
)
financial_assistance_data = load_data_into_model(
TransactionFABS(), row, as_dict=True) # thrown away
afa_generated_unique = financial_assistance_data[
'afa_generated_unique']
unique_fabs = TransactionFABS.objects.filter(
afa_generated_unique=afa_generated_unique)
if unique_fabs.first():
transaction_normalized_dict["update_date"] = datetime.now(
timezone.utc)
transaction_normalized_dict["fiscal_year"] = fy(
transaction_normalized_dict["action_date"])
# Update TransactionNormalized
TransactionNormalized.objects.filter(
id=unique_fabs.first().transaction.id).update(
**transaction_normalized_dict)
# Update TransactionFABS
unique_fabs.update(**financial_assistance_data)
else:
# Create TransactionNormalized
transaction = TransactionNormalized(
**transaction_normalized_dict)
transaction.save()
# Create TransactionFABS
transaction_fabs = TransactionFABS(transaction=transaction,
**financial_assistance_data)
transaction_fabs.save()
# Update legal entity to map back to transaction
legal_entity.transaction_unique_id = afa_generated_unique
legal_entity.save()
def update_transaction_assistance(db_cursor,
fiscal_year=None,
page=1,
limit=500000):
# logger.info("Getting IDs for what's currently in the DB...")
# current_ids = TransactionFABS.objects
#
# if fiscal_year:
# current_ids = current_ids.filter(action_date__fy=fiscal_year)
#
# current_ids = current_ids.values_list('published_award_financial_assistance_id', flat=True)
query = "SELECT * FROM published_award_financial_assistance"
arguments = []
fy_begin = '10/01/' + str(fiscal_year - 1)
fy_end = '09/30/' + str(fiscal_year)
if fiscal_year:
if arguments:
query += " AND"
else:
query += " WHERE"
query += ' action_date::Date BETWEEN %s AND %s'
arguments += [fy_begin]
arguments += [fy_end]
query += ' ORDER BY published_award_financial_assistance_id LIMIT %s OFFSET %s'
arguments += [limit, (page - 1) * limit]
logger.info("Executing query on Broker DB => " + query %
(arguments[0], arguments[1], arguments[2], arguments[3]))
db_cursor.execute(query, arguments)
logger.info("Running dictfetchall on db_cursor")
award_financial_assistance_data = dictfetchall(db_cursor)
legal_entity_location_field_map = {
"address_line1": "legal_entity_address_line1",
"address_line2": "legal_entity_address_line2",
"address_line3": "legal_entity_address_line3",
"city_name": "legal_entity_city_name",
"congressional_code": "legal_entity_congressional",
"county_code": "legal_entity_county_code",
"county_name": "legal_entity_county_name",
"foreign_city_name": "legal_entity_foreign_city",
"foreign_postal_code": "legal_entity_foreign_posta",
"foreign_province": "legal_entity_foreign_provi",
"state_code": "legal_entity_state_code",
"state_name": "legal_entity_state_name",
"zip5": "legal_entity_zip5",
"zip_last4": "legal_entity_zip_last4",
"location_country_code": "legal_entity_country_code"
}
place_of_performance_field_map = {
"city_name": "place_of_performance_city",
"performance_code": "place_of_performance_code",
"congressional_code": "place_of_performance_congr",
"county_name": "place_of_perform_county_na",
"foreign_location_description": "place_of_performance_forei",
"state_name": "place_of_perform_state_nam",
"zip4": "place_of_performance_zip4a",
"location_country_code": "place_of_perform_country_c"
}
fad_field_map = {
"type": "assistance_type",
"description": "award_description",
}
logger.info("Getting total rows")
# rows_loaded = len(current_ids)
total_rows = len(award_financial_assistance_data) # - rows_loaded
logger.info("Processing " + str(total_rows) +
" rows of assistance data")
# skip_count = 0
# ROW ITERATION STARTS HERE
lel_bulk = []
pop_bulk = []
legal_entity_bulk = []
award_bulk = []
transaction_assistance_bulk = []
transaction_normalized_bulk = []
logger.info(
'Getting legal entity location objects for {} rows...'.format(
len(award_financial_assistance_data)))
for index, row in enumerate(award_financial_assistance_data, 1):
# Recipient flag is true for LeL
legal_entity_location = get_or_create_location(
legal_entity_location_field_map,
row, {"recipient_flag": True},
save=False)
lel_bulk.append(legal_entity_location)
logger.info('Bulk creating {} legal entity location rows...'.format(
len(lel_bulk)))
try:
Location.objects.bulk_create(lel_bulk)
except IntegrityError:
logger.info('!!! DUPLICATES FOUND. Continuing... ')
logger.info(
'Getting place of performance objects for {} rows...'.format(
len(award_financial_assistance_data)))
for index, row in enumerate(award_financial_assistance_data, 1):
# Place of Performance flag is true for PoP
pop_location = get_or_create_location(
place_of_performance_field_map,
row, {"place_of_performance_flag": True},
save=False)
pop_bulk.append(pop_location)
logger.info('Bulk creating {} place of performance rows...'.format(
len(pop_bulk)))
try:
Location.objects.bulk_create(pop_bulk)
except IntegrityError:
logger.info('!!! DUPLICATES FOUND. Continuing... ')
logger.info('Getting legal entity objects for {} rows...'.format(
len(award_financial_assistance_data)))
for index, row in enumerate(award_financial_assistance_data, 1):
recipient_name = row.get('awardee_or_recipient_legal', '')
legal_entity = LegalEntity.objects.filter(
recipient_unique_id=row['awardee_or_recipient_uniqu'],
recipient_name=recipient_name).first()
if legal_entity is None:
legal_entity = LegalEntity(
recipient_unique_id=row['awardee_or_recipient_uniqu'],
recipient_name=recipient_name)
legal_entity_value_map = {
"location": lel_bulk[index - 1],
}
legal_entity = load_data_into_model(
legal_entity,
row,
value_map=legal_entity_value_map,
save=False)
legal_entity_bulk.append(legal_entity)
logger.info('Bulk creating {} legal entity rows...'.format(
len(legal_entity_bulk)))
try:
LegalEntity.objects.bulk_create(legal_entity_bulk)
except IntegrityError:
logger.info('!!! DUPLICATES FOUND. Continuing... ')
awarding_agency_list = []
funding_agency_list = []
logger.info('Getting award objects for {} rows...'.format(
len(award_financial_assistance_data)))
for index, row in enumerate(award_financial_assistance_data, 1):
# If awarding toptier agency code (aka CGAC) is not supplied on the D2 record,
# use the sub tier code to look it up. This code assumes that all incoming
# records will supply an awarding subtier agency code
if row['awarding_agency_code'] is None or len(
row['awarding_agency_code'].strip()) < 1:
awarding_subtier_agency_id = subtier_agency_map[
row["awarding_sub_tier_agency_c"]]
awarding_toptier_agency_id = subtier_to_agency_map[
awarding_subtier_agency_id]['toptier_agency_id']
awarding_cgac_code = toptier_agency_map[
awarding_toptier_agency_id]
row['awarding_agency_code'] = awarding_cgac_code
# If funding toptier agency code (aka CGAC) is empty, try using the sub
# tier funding code to look it up. Unlike the awarding agency, we can't
# assume that the funding agency subtier code will always be present.
if row['funding_agency_code'] is None or len(
row['funding_agency_code'].strip()) < 1:
funding_subtier_agency_id = subtier_agency_map.get(
row["funding_sub_tier_agency_co"])
if funding_subtier_agency_id is not None:
funding_toptier_agency_id = \
subtier_to_agency_map[funding_subtier_agency_id]['toptier_agency_id']
funding_cgac_code = toptier_agency_map[
funding_toptier_agency_id]
else:
funding_cgac_code = None
row['funding_agency_code'] = funding_cgac_code
# Find the award that this award transaction belongs to. If it doesn't exist, create it.
awarding_agency = Agency.get_by_toptier_subtier(
row['awarding_agency_code'], row["awarding_sub_tier_agency_c"])
funding_agency = Agency.get_by_toptier_subtier(
row['funding_agency_code'], row["funding_sub_tier_agency_co"])
awarding_agency_list.append(awarding_agency)
funding_agency_list.append(funding_agency)
# award.save() is called in Award.get_or_create_summary_award by default
created, award = Award.get_or_create_summary_award(
awarding_agency=awarding_agency,
fain=row.get('fain'),
uri=row.get('uri'),
save=False)
award_bulk.append(award)
award_update_id_list.append(award.id)
logger.info('Bulk creating {} award rows...'.format(len(award_bulk)))
try:
Award.objects.bulk_create(award_bulk)
except IntegrityError:
logger.info('!!! DUPLICATES FOUND. Continuing... ')
logger.info('Getting transaction_normalized for {} rows...'.format(
len(award_financial_assistance_data)))
for index, row in enumerate(award_financial_assistance_data, 1):
parent_txn_value_map = {
"award":
award_bulk[index - 1],
"awarding_agency":
awarding_agency_list[index - 1],
"funding_agency":
funding_agency_list[index - 1],
"recipient":
legal_entity_bulk[index - 1],
"place_of_performance":
pop_bulk[index - 1],
"period_of_performance_start_date":
format_date(row['period_of_performance_star']),
"period_of_performance_current_end_date":
format_date(row['period_of_performance_curr']),
"action_date":
format_date(row['action_date']),
}
transaction_dict = load_data_into_model(
TransactionNormalized(), # thrown away
row,
field_map=fad_field_map,
value_map=parent_txn_value_map,
as_dict=True)
transaction_normalized = TransactionNormalized.get_or_create_transaction(
**transaction_dict)
transaction_normalized.fiscal_year = fy(
transaction_normalized.action_date)
transaction_normalized_bulk.append(transaction_normalized)
logger.info('Bulk creating {} TransactionNormalized rows...'.format(
len(transaction_normalized_bulk)))
try:
TransactionNormalized.objects.bulk_create(
transaction_normalized_bulk)
except IntegrityError:
logger.info(
'Tried and failed to insert duplicate transaction_normalized row. Continuing... '
)
for index, row in enumerate(award_financial_assistance_data, 1):
financial_assistance_data = load_data_into_model(
TransactionFABS(), # thrown away
row,
as_dict=True)
transaction_assistance = TransactionFABS(
transaction=transaction_normalized_bulk[index - 1],
**financial_assistance_data)
transaction_assistance_bulk.append(transaction_assistance)
logger.info('Bulk creating TransactionFABS rows...')
try:
TransactionFABS.objects.bulk_create(transaction_assistance_bulk)
except IntegrityError:
logger.info('!!! DUPLICATES FOUND. Continuing... ')
def insert_new_fabs(to_insert):
fabs_normalized_field_map = {
"type": "assistance_type",
"description": "award_description",
"funding_amount": "total_funding_amount",
}
fabs_field_map = {
"officer_1_name": "high_comp_officer1_full_na",
"officer_1_amount": "high_comp_officer1_amount",
"officer_2_name": "high_comp_officer2_full_na",
"officer_2_amount": "high_comp_officer2_amount",
"officer_3_name": "high_comp_officer3_full_na",
"officer_3_amount": "high_comp_officer3_amount",
"officer_4_name": "high_comp_officer4_full_na",
"officer_4_amount": "high_comp_officer4_amount",
"officer_5_name": "high_comp_officer5_full_na",
"officer_5_amount": "high_comp_officer5_amount",
}
update_award_ids = []
for row in to_insert:
upper_case_dict_values(row)
# Find the toptier awards from the subtier awards
awarding_agency = Agency.get_by_subtier_only(
row["awarding_sub_tier_agency_c"])
funding_agency = Agency.get_by_subtier_only(
row["funding_sub_tier_agency_co"])
# Create the summary Award
(created, award) = Award.get_or_create_summary_award(
generated_unique_award_id=row["unique_award_key"],
fain=row["fain"],
uri=row["uri"],
record_type=row["record_type"],
)
award.save()
# Append row to list of Awards updated
update_award_ids.append(award.id)
try:
last_mod_date = datetime.strptime(str(row["modified_at"]),
"%Y-%m-%d %H:%M:%S.%f").date()
except ValueError:
last_mod_date = datetime.strptime(str(row["modified_at"]),
"%Y-%m-%d %H:%M:%S").date()
parent_txn_value_map = {
"award":
award,
"awarding_agency":
awarding_agency,
"funding_agency":
funding_agency,
"period_of_performance_start_date":
format_date(row["period_of_performance_star"]),
"period_of_performance_current_end_date":
format_date(row["period_of_performance_curr"]),
"action_date":
format_date(row["action_date"]),
"last_modified_date":
last_mod_date,
"type_description":
row["assistance_type_desc"],
"transaction_unique_id":
row["afa_generated_unique"],
"business_categories":
get_business_categories(row=row, data_type="fabs"),
}
transaction_normalized_dict = load_data_into_model(
TransactionNormalized(), # thrown away
row,
field_map=fabs_normalized_field_map,
value_map=parent_txn_value_map,
as_dict=True,
)
financial_assistance_data = load_data_into_model(
TransactionFABS(),
row,
field_map=fabs_field_map,
as_dict=True # thrown away
)
# Hack to cut back on the number of warnings dumped to the log.
financial_assistance_data["updated_at"] = cast_datetime_to_utc(
financial_assistance_data["updated_at"])
financial_assistance_data["created_at"] = cast_datetime_to_utc(
financial_assistance_data["created_at"])
financial_assistance_data["modified_at"] = cast_datetime_to_utc(
financial_assistance_data["modified_at"])
afa_generated_unique = financial_assistance_data[
"afa_generated_unique"]
unique_fabs = TransactionFABS.objects.filter(
afa_generated_unique=afa_generated_unique)
if unique_fabs.first():
transaction_normalized_dict["update_date"] = datetime.now(
timezone.utc)
transaction_normalized_dict["fiscal_year"] = fy(
transaction_normalized_dict["action_date"])
# Update TransactionNormalized
TransactionNormalized.objects.filter(
id=unique_fabs.first().transaction.id).update(
**transaction_normalized_dict)
# Update TransactionFABS
unique_fabs.update(**financial_assistance_data)
else:
# Create TransactionNormalized
transaction_normalized = TransactionNormalized(
**transaction_normalized_dict)
transaction_normalized.save()
# Create TransactionFABS
transaction_fabs = TransactionFABS(
transaction=transaction_normalized,
**financial_assistance_data)
transaction_fabs.save()
return update_award_ids
def insert_new_fabs(to_insert):
place_of_performance_field_map = {
"location_country_code": "place_of_perform_country_c",
"country_name": "place_of_perform_country_n",
"state_code": "place_of_perfor_state_code",
"state_name": "place_of_perform_state_nam",
"city_name": "place_of_performance_city",
"county_name": "place_of_perform_county_na",
"county_code": "place_of_perform_county_co",
"foreign_location_description": "place_of_performance_forei",
"zip_4a": "place_of_performance_zip4a",
"congressional_code": "place_of_performance_congr",
"performance_code": "place_of_performance_code",
"zip_last4": "place_of_perform_zip_last4",
"zip5": "place_of_performance_zip5",
}
legal_entity_location_field_map = {
"location_country_code": "legal_entity_country_code",
"country_name": "legal_entity_country_name",
"state_code": "legal_entity_state_code",
"state_name": "legal_entity_state_name",
"city_name": "legal_entity_city_name",
"city_code": "legal_entity_city_code",
"county_name": "legal_entity_county_name",
"county_code": "legal_entity_county_code",
"address_line1": "legal_entity_address_line1",
"address_line2": "legal_entity_address_line2",
"address_line3": "legal_entity_address_line3",
"foreign_location_description": "legal_entity_foreign_descr",
"congressional_code": "legal_entity_congressional",
"zip_last4": "legal_entity_zip_last4",
"zip5": "legal_entity_zip5",
"foreign_postal_code": "legal_entity_foreign_posta",
"foreign_province": "legal_entity_foreign_provi",
"foreign_city_name": "legal_entity_foreign_city",
}
fabs_normalized_field_map = {
"type": "assistance_type",
"description": "award_description",
"funding_amount": "total_funding_amount",
}
fabs_field_map = {
"officer_1_name": "high_comp_officer1_full_na",
"officer_1_amount": "high_comp_officer1_amount",
"officer_2_name": "high_comp_officer2_full_na",
"officer_2_amount": "high_comp_officer2_amount",
"officer_3_name": "high_comp_officer3_full_na",
"officer_3_amount": "high_comp_officer3_amount",
"officer_4_name": "high_comp_officer4_full_na",
"officer_4_amount": "high_comp_officer4_amount",
"officer_5_name": "high_comp_officer5_full_na",
"officer_5_amount": "high_comp_officer5_amount",
}
update_award_ids = []
for row in to_insert:
upper_case_dict_values(row)
# Create new LegalEntityLocation and LegalEntity from the row data
legal_entity_location = create_location(
legal_entity_location_field_map, row, {"recipient_flag": True})
recipient_name = row['awardee_or_recipient_legal']
legal_entity = LegalEntity.objects.create(
recipient_unique_id=row['awardee_or_recipient_uniqu'],
recipient_name=recipient_name
if recipient_name is not None else "",
parent_recipient_unique_id=row['ultimate_parent_unique_ide'],
)
legal_entity_value_map = {
"location":
legal_entity_location,
"business_categories":
get_business_categories(row=row, data_type='fabs'),
"business_types_description":
row['business_types_desc'],
}
legal_entity = load_data_into_model(legal_entity,
row,
value_map=legal_entity_value_map,
save=True)
# Create the place of performance location
pop_location = create_location(place_of_performance_field_map, row,
{"place_of_performance_flag": True})
# Find the toptier awards from the subtier awards
awarding_agency = Agency.get_by_subtier_only(
row["awarding_sub_tier_agency_c"])
funding_agency = Agency.get_by_subtier_only(
row["funding_sub_tier_agency_co"])
# Create the summary Award
(created, award) = Award.get_or_create_summary_award(
generated_unique_award_id=row['unique_award_key'],
fain=row['fain'],
uri=row['uri'],
record_type=row['record_type'],
)
award.save()
# Append row to list of Awards updated
update_award_ids.append(award.id)
try:
last_mod_date = datetime.strptime(str(row['modified_at']),
"%Y-%m-%d %H:%M:%S.%f").date()
except ValueError:
last_mod_date = datetime.strptime(str(row['modified_at']),
"%Y-%m-%d %H:%M:%S").date()
parent_txn_value_map = {
"award":
award,
"awarding_agency":
awarding_agency,
"funding_agency":
funding_agency,
"recipient":
legal_entity,
"place_of_performance":
pop_location,
"period_of_performance_start_date":
format_date(row['period_of_performance_star']),
"period_of_performance_current_end_date":
format_date(row['period_of_performance_curr']),
"action_date":
format_date(row['action_date']),
"last_modified_date":
last_mod_date,
"type_description":
row['assistance_type_desc'],
"transaction_unique_id":
row['afa_generated_unique'],
}
transaction_normalized_dict = load_data_into_model(
TransactionNormalized(), # thrown away
row,
field_map=fabs_normalized_field_map,
value_map=parent_txn_value_map,
as_dict=True,
)
financial_assistance_data = load_data_into_model(
TransactionFABS(), # thrown away
row,
field_map=fabs_field_map,
as_dict=True)
# Hack to cut back on the number of warnings dumped to the log.
financial_assistance_data['updated_at'] = cast_datetime_to_utc(
financial_assistance_data['updated_at'])
financial_assistance_data['created_at'] = cast_datetime_to_utc(
financial_assistance_data['created_at'])
financial_assistance_data['modified_at'] = cast_datetime_to_utc(
financial_assistance_data['modified_at'])
afa_generated_unique = financial_assistance_data[
'afa_generated_unique']
unique_fabs = TransactionFABS.objects.filter(
afa_generated_unique=afa_generated_unique)
if unique_fabs.first():
transaction_normalized_dict["update_date"] = datetime.now(
timezone.utc)
transaction_normalized_dict["fiscal_year"] = fy(
transaction_normalized_dict["action_date"])
# Update TransactionNormalized
TransactionNormalized.objects.filter(
id=unique_fabs.first().transaction.id).update(
**transaction_normalized_dict)
# Update TransactionFABS
unique_fabs.update(**financial_assistance_data)
else:
# Create TransactionNormalized
transaction_normalized = TransactionNormalized(
**transaction_normalized_dict)
transaction_normalized.save()
# Create TransactionFABS
transaction_fabs = TransactionFABS(
transaction=transaction_normalized,
**financial_assistance_data)
transaction_fabs.save()
# Update legal entity to map back to transaction
legal_entity.transaction_unique_id = afa_generated_unique
legal_entity.save()
return update_award_ids
def load_file_d2(submission_attributes,
award_financial_assistance_data,
db_cursor,
quick,
row_preprocessor=no_preprocessing):
"""
Process and load file D2 broker data (financial assistance award txns).
"""
d_start_time = time.time()
if quick:
setup_broker_fdw()
parameters = {
'broker_submission_id': submission_attributes.broker_submission_id
}
run_sql_file('usaspending_api/etl/management/load_file_d2.sql',
parameters)
logger.info('\n\n\n\nFile D2 time elapsed: {}'.format(time.time() -
d_start_time))
return
legal_entity_location_field_map = {
"address_line1": "legal_entity_address_line1",
"address_line2": "legal_entity_address_line2",
"address_line3": "legal_entity_address_line3",
"city_code": "legal_entity_city_code",
"city_name": "legal_entity_city_name",
"congressional_code": "legal_entity_congressional",
"county_code": "legal_entity_county_code",
"county_name": "legal_entity_county_name",
"foreign_city_name": "legal_entity_foreign_city",
"foreign_postal_code": "legal_entity_foreign_posta",
"foreign_province": "legal_entity_foreign_provi",
"state_code": "legal_entity_state_code",
"state_name": "legal_entity_state_name",
"zip5": "legal_entity_zip5",
"zip_last4": "legal_entity_zip_last4",
"location_country_code": "legal_entity_country_code"
}
place_of_performance_field_map = {
"city_name": "place_of_performance_city",
"performance_code": "place_of_performance_code",
"congressional_code": "place_of_performance_congr",
"county_name": "place_of_perform_county_na",
"foreign_location_description": "place_of_performance_forei",
"state_name": "place_of_perform_state_nam",
"zip4": "place_of_performance_zip4a",
"location_country_code": "place_of_perform_country_c"
}
legal_entity_location_value_map = {"recipient_flag": True}
place_of_performance_value_map = {"place_of_performance_flag": True}
fad_field_map = {
"type": "assistance_type",
"description": "award_description",
}
total_rows = len(award_financial_assistance_data)
start_time = datetime.now()
for index, row in enumerate(award_financial_assistance_data, 1):
if not (index % 100):
logger.info('D2 File Load: Loading row {} of {} ({})'.format(
str(index), str(total_rows),
datetime.now() - start_time))
row = row_preprocessor(row)
legal_entity_location, created = get_or_create_location(
legal_entity_location_field_map, row,
legal_entity_location_value_map)
recipient_name = row['awardee_or_recipient_legal']
if recipient_name is None:
recipient_name = ""
# Create the legal entity if it doesn't exist
legal_entity, created = LegalEntity.objects.get_or_create(
recipient_unique_id=row['awardee_or_recipient_uniqu'],
recipient_name=recipient_name)
if created:
legal_entity_value_map = {
"location": legal_entity_location,
}
legal_entity = load_data_into_model(
legal_entity, row, value_map=legal_entity_value_map, save=True)
# Create the place of performance location
pop_location, created = get_or_create_location(
place_of_performance_field_map, row,
place_of_performance_value_map)
# If awarding toptier agency code (aka CGAC) is not supplied on the D2 record,
# use the sub tier code to look it up. This code assumes that all incoming
# records will supply an awarding subtier agency code
if row['awarding_agency_code'] is None or len(
row['awarding_agency_code'].strip()) < 1:
row['awarding_agency_code'] = Agency.get_by_subtier(
row["awarding_sub_tier_agency_c"]).toptier_agency.cgac_code
# If funding toptier agency code (aka CGAC) is empty, try using the sub
# tier funding code to look it up. Unlike the awarding agency, we can't
# assume that the funding agency subtier code will always be present.
if row['funding_agency_code'] is None or len(
row['funding_agency_code'].strip()) < 1:
funding_agency = Agency.get_by_subtier(
row["funding_sub_tier_agency_co"])
row['funding_agency_code'] = (
funding_agency.toptier_agency.cgac_code
if funding_agency is not None else None)
# Find the award that this award transaction belongs to. If it doesn't exist, create it.
awarding_agency = Agency.get_by_toptier_subtier(
row['awarding_agency_code'], row["awarding_sub_tier_agency_c"])
created, award = Award.get_or_create_summary_award(
awarding_agency=awarding_agency,
piid=row.get('piid'),
fain=row.get('fain'),
uri=row.get('uri'))
award.save()
award_update_id_list.append(award.id)
parent_txn_value_map = {
"award":
award,
"awarding_agency":
awarding_agency,
"funding_agency":
Agency.get_by_toptier_subtier(row['funding_agency_code'],
row["funding_sub_tier_agency_co"]),
"recipient":
legal_entity,
"place_of_performance":
pop_location,
'submission':
submission_attributes,
"period_of_performance_start_date":
format_date(row['period_of_performance_star']),
"period_of_performance_current_end_date":
format_date(row['period_of_performance_curr']),
"action_date":
format_date(row['action_date']),
}
transaction_dict = load_data_into_model(
TransactionNormalized(), # thrown away
row,
field_map=fad_field_map,
value_map=parent_txn_value_map,
as_dict=True)
transaction = TransactionNormalized.get_or_create_transaction(
**transaction_dict)
transaction.save()
fad_value_map = {
"submission":
submission_attributes,
"cfda":
Cfda.objects.filter(program_number=row['cfda_number']).first(),
'reporting_period_start':
submission_attributes.reporting_period_start,
'reporting_period_end':
submission_attributes.reporting_period_end,
"period_of_performance_start_date":
format_date(row['period_of_performance_star']),
"period_of_performance_current_end_date":
format_date(row['period_of_performance_curr']),
}
financial_assistance_data = load_data_into_model(
TransactionFABS(), # thrown away
row,
field_map=fad_field_map,
value_map=fad_value_map,
as_dict=True)
transaction_assistance = TransactionFABS.get_or_create_2(
transaction=transaction, **financial_assistance_data)
transaction_assistance.save()
logger.info('\n\n\n\nFile D2 time elapsed: {}'.format(time.time() -
d_start_time))
def insert_new_fabs(self, to_insert, total_rows):
logger.info('Starting insertion of new FABS data')
place_of_performance_field_map = {
"location_country_code": "place_of_perform_country_c",
"country_name": "place_of_perform_country_n",
"state_code": "place_of_perfor_state_code",
"state_name": "place_of_perform_state_nam",
"city_name": "place_of_performance_city",
"county_name": "place_of_perform_county_na",
"county_code": "place_of_perform_county_co",
"foreign_location_description": "place_of_performance_forei",
"zip_4a": "place_of_performance_zip4a",
"congressional_code": "place_of_performance_congr",
"performance_code": "place_of_performance_code",
"zip_last4": "place_of_perform_zip_last4",
"zip5": "place_of_performance_zip5"
}
legal_entity_location_field_map = {
"location_country_code": "legal_entity_country_code",
"country_name": "legal_entity_country_name",
"state_code": "legal_entity_state_code",
"state_name": "legal_entity_state_name",
"city_name": "legal_entity_city_name",
"city_code": "legal_entity_city_code",
"county_name": "legal_entity_county_name",
"county_code": "legal_entity_county_code",
"address_line1": "legal_entity_address_line1",
"address_line2": "legal_entity_address_line2",
"address_line3": "legal_entity_address_line3",
"foreign_location_description": "legal_entity_foreign_descr",
"congressional_code": "legal_entity_congressional",
"zip_last4": "legal_entity_zip_last4",
"zip5": "legal_entity_zip5",
"foreign_postal_code": "legal_entity_foreign_posta",
"foreign_province": "legal_entity_foreign_provi",
"foreign_city_name": "legal_entity_foreign_city"
}
start_time = datetime.now()
for index, row in enumerate(to_insert, 1):
if not (index % 1000):
logger.info('Inserting Stale FABS: Inserting row {} of {} ({})'.format(str(index), str(total_rows),
datetime.now() - start_time))
for key in row:
if isinstance(row[key], str):
row[key] = row[key].upper()
# Create new LegalEntityLocation and LegalEntity from the row data
legal_entity_location = create_location(legal_entity_location_field_map, row, {"recipient_flag": True})
recipient_name = row['awardee_or_recipient_legal']
legal_entity = LegalEntity.objects.create(
recipient_unique_id=row['awardee_or_recipient_uniqu'],
recipient_name=recipient_name if recipient_name is not None else ""
)
legal_entity_value_map = {
"location": legal_entity_location,
"business_categories": get_business_categories(row=row, data_type='fabs'),
"business_types_description": get_business_type_description(row['business_types'])
}
legal_entity = load_data_into_model(legal_entity, row, value_map=legal_entity_value_map, save=True)
# Create the place of performance location
pop_location = create_location(place_of_performance_field_map, row, {"place_of_performance_flag": True})
# Find the toptier awards from the subtier awards
awarding_agency = Agency.get_by_subtier_only(row["awarding_sub_tier_agency_c"])
funding_agency = Agency.get_by_subtier_only(row["funding_sub_tier_agency_co"])
# Generate the unique Award ID
# "ASST_AW_" + awarding_sub_tier_agency_c + fain + uri
# this will raise an exception if the cast to an int fails, that's ok since we don't want to process
# non-numeric record type values
record_type_int = int(row['record_type'])
if record_type_int == 1:
uri = row['uri'] if row['uri'] else '-NONE-'
fain = '-NONE-'
elif record_type_int == 2:
uri = '-NONE-'
fain = row['fain'] if row['fain'] else '-NONE-'
else:
raise Exception('Invalid record type encountered for the following afa_generated_unique record: %s' %
row['afa_generated_unique'])
generated_unique_id = 'ASST_AW_' +\
(row['awarding_sub_tier_agency_c'] if row['awarding_sub_tier_agency_c'] else '-NONE-') + '_' + \
fain + '_' + uri
# Create the summary Award
(created, award) = Award.get_or_create_summary_award(generated_unique_award_id=generated_unique_id,
fain=row['fain'],
uri=row['uri'],
record_type=row['record_type'])
award.save()
# Append row to list of Awards updated
award_update_id_list.append(award.id)
try:
last_mod_date = datetime.strptime(str(row['modified_at']), "%Y-%m-%d %H:%M:%S.%f").date()
except ValueError:
last_mod_date = datetime.strptime(str(row['modified_at']), "%Y-%m-%d %H:%M:%S").date()
parent_txn_value_map = {
"award": award,
"awarding_agency": awarding_agency,
"funding_agency": funding_agency,
"recipient": legal_entity,
"place_of_performance": pop_location,
"period_of_performance_start_date": format_date(row['period_of_performance_star']),
"period_of_performance_current_end_date": format_date(row['period_of_performance_curr']),
"action_date": format_date(row['action_date']),
"last_modified_date": last_mod_date,
"type_description": get_assistance_type_description(row['assistance_type']),
"transaction_unique_id": row['afa_generated_unique'],
"generated_unique_award_id": generated_unique_id
}
fad_field_map = {
"type": "assistance_type",
"description": "award_description",
}
transaction_normalized_dict = load_data_into_model(
TransactionNormalized(), # thrown away
row,
field_map=fad_field_map,
value_map=parent_txn_value_map,
as_dict=True)
financial_assistance_data = load_data_into_model(
TransactionFABS(), # thrown away
row,
as_dict=True)
afa_generated_unique = financial_assistance_data['afa_generated_unique']
unique_fabs = TransactionFABS.objects.filter(afa_generated_unique=afa_generated_unique)
if unique_fabs.first():
transaction_normalized_dict["update_date"] = datetime.utcnow()
transaction_normalized_dict["fiscal_year"] = fy(transaction_normalized_dict["action_date"])
# Update TransactionNormalized
TransactionNormalized.objects.filter(id=unique_fabs.first().transaction.id).\
update(**transaction_normalized_dict)
# Update TransactionFABS
unique_fabs.update(**financial_assistance_data)
else:
# Create TransactionNormalized
transaction = TransactionNormalized(**transaction_normalized_dict)
transaction.save()
# Create TransactionFABS
transaction_fabs = TransactionFABS(transaction=transaction, **financial_assistance_data)
transaction_fabs.save()
def insert_new_fabs(to_insert):
place_of_performance_field_map = {
"location_country_code": "place_of_perform_country_c",
"country_name": "place_of_perform_country_n",
"state_code": "place_of_perfor_state_code",
"state_name": "place_of_perform_state_nam",
"city_name": "place_of_performance_city",
"county_name": "place_of_perform_county_na",
"county_code": "place_of_perform_county_co",
"foreign_location_description": "place_of_performance_forei",
"zip_4a": "place_of_performance_zip4a",
"congressional_code": "place_of_performance_congr",
"performance_code": "place_of_performance_code",
"zip_last4": "place_of_perform_zip_last4",
"zip5": "place_of_performance_zip5",
}
legal_entity_location_field_map = {
"location_country_code": "legal_entity_country_code",
"country_name": "legal_entity_country_name",
"state_code": "legal_entity_state_code",
"state_name": "legal_entity_state_name",
"city_name": "legal_entity_city_name",
"city_code": "legal_entity_city_code",
"county_name": "legal_entity_county_name",
"county_code": "legal_entity_county_code",
"address_line1": "legal_entity_address_line1",
"address_line2": "legal_entity_address_line2",
"address_line3": "legal_entity_address_line3",
"foreign_location_description": "legal_entity_foreign_descr",
"congressional_code": "legal_entity_congressional",
"zip_last4": "legal_entity_zip_last4",
"zip5": "legal_entity_zip5",
"foreign_postal_code": "legal_entity_foreign_posta",
"foreign_province": "legal_entity_foreign_provi",
"foreign_city_name": "legal_entity_foreign_city",
}
update_award_ids = []
for row in to_insert:
upper_case_dict_values(row)
# Create new LegalEntityLocation and LegalEntity from the row data
legal_entity_location = create_location(legal_entity_location_field_map, row, {"recipient_flag": True})
recipient_name = row['awardee_or_recipient_legal']
legal_entity = LegalEntity.objects.create(
recipient_unique_id=row['awardee_or_recipient_uniqu'],
recipient_name=recipient_name if recipient_name is not None else "",
parent_recipient_unique_id=row['ultimate_parent_unique_ide'],
)
legal_entity_value_map = {
"location": legal_entity_location,
"business_categories": get_business_categories(row=row, data_type='fabs'),
"business_types_description": row['business_types_desc'],
}
legal_entity = load_data_into_model(legal_entity, row, value_map=legal_entity_value_map, save=True)
# Create the place of performance location
pop_location = create_location(place_of_performance_field_map, row, {"place_of_performance_flag": True})
# Find the toptier awards from the subtier awards
awarding_agency = Agency.get_by_subtier_only(row["awarding_sub_tier_agency_c"])
funding_agency = Agency.get_by_subtier_only(row["funding_sub_tier_agency_co"])
# Generate the unique Award ID
# "ASST_AW_" + awarding_sub_tier_agency_c + fain + uri
# this will raise an exception if the cast to an int fails, that's ok since we don't want to process
# non-numeric record type values
record_type_int = int(row['record_type'])
if record_type_int == 1:
uri = row['uri'] if row['uri'] else '-NONE-'
fain = '-NONE-'
elif record_type_int in (2, 3):
uri = '-NONE-'
fain = row['fain'] if row['fain'] else '-NONE-'
else:
msg = "Invalid record type encountered for the following afa_generated_unique record: {}"
raise Exception(msg.format(row['afa_generated_unique']))
astac = row["awarding_sub_tier_agency_c"] if row["awarding_sub_tier_agency_c"] else "-NONE-"
generated_unique_id = "ASST_AW_{}_{}_{}".format(astac, fain, uri)
# Create the summary Award
(created, award) = Award.get_or_create_summary_award(
generated_unique_award_id=generated_unique_id,
fain=row['fain'],
uri=row['uri'],
record_type=row['record_type'],
)
award.save()
# Append row to list of Awards updated
update_award_ids.append(award.id)
try:
last_mod_date = datetime.strptime(str(row['modified_at']), "%Y-%m-%d %H:%M:%S.%f").date()
except ValueError:
last_mod_date = datetime.strptime(str(row['modified_at']), "%Y-%m-%d %H:%M:%S").date()
parent_txn_value_map = {
"award": award,
"awarding_agency": awarding_agency,
"funding_agency": funding_agency,
"recipient": legal_entity,
"place_of_performance": pop_location,
"period_of_performance_start_date": format_date(row['period_of_performance_star']),
"period_of_performance_current_end_date": format_date(row['period_of_performance_curr']),
"action_date": format_date(row['action_date']),
"last_modified_date": last_mod_date,
"type_description": row['assistance_type_desc'],
"transaction_unique_id": row['afa_generated_unique'],
"generated_unique_award_id": generated_unique_id,
}
fad_field_map = {
"type": "assistance_type",
"description": "award_description",
"funding_amount": "total_funding_amount",
}
transaction_normalized_dict = load_data_into_model(
TransactionNormalized(), # thrown away
row,
field_map=fad_field_map,
value_map=parent_txn_value_map,
as_dict=True,
)
financial_assistance_data = load_data_into_model(TransactionFABS(), row, as_dict=True) # thrown away
# Hack to cut back on the number of warnings dumped to the log.
financial_assistance_data['updated_at'] = cast_datetime_to_utc(financial_assistance_data['updated_at'])
financial_assistance_data['created_at'] = cast_datetime_to_utc(financial_assistance_data['created_at'])
financial_assistance_data['modified_at'] = cast_datetime_to_utc(financial_assistance_data['modified_at'])
afa_generated_unique = financial_assistance_data['afa_generated_unique']
unique_fabs = TransactionFABS.objects.filter(afa_generated_unique=afa_generated_unique)
if unique_fabs.first():
transaction_normalized_dict["update_date"] = datetime.now(timezone.utc)
transaction_normalized_dict["fiscal_year"] = fy(transaction_normalized_dict["action_date"])
# Update TransactionNormalized
TransactionNormalized.objects.filter(id=unique_fabs.first().transaction.id).update(
**transaction_normalized_dict
)
# Update TransactionFABS
unique_fabs.update(**financial_assistance_data)
else:
# Create TransactionNormalized
transaction_normalized = TransactionNormalized(**transaction_normalized_dict)
transaction_normalized.save()
# Create TransactionFABS
transaction_fabs = TransactionFABS(transaction=transaction_normalized, **financial_assistance_data)
transaction_fabs.save()
# Update legal entity to map back to transaction
legal_entity.transaction_unique_id = afa_generated_unique
legal_entity.save()
return update_award_ids
def update_transaction_assistance(db_cursor,
fiscal_year=None,
page=1,
limit=500000):
query = "SELECT * FROM published_award_financial_assistance"
arguments = []
fy_begin = "10/01/" + str(fiscal_year - 1)
fy_end = "09/30/" + str(fiscal_year)
if fiscal_year:
if arguments:
query += " AND"
else:
query += " WHERE"
query += " action_date::Date BETWEEN %s AND %s"
arguments += [fy_begin]
arguments += [fy_end]
query += " ORDER BY published_award_financial_assistance_id LIMIT %s OFFSET %s"
arguments += [limit, (page - 1) * limit]
logger.info("Executing query on Broker DB => " + query %
(arguments[0], arguments[1], arguments[2], arguments[3]))
db_cursor.execute(query, arguments)
logger.info("Running dictfetchall on db_cursor")
award_financial_assistance_data = dictfetchall(db_cursor)
fabs_normalized_field_map = {
"type": "assistance_type",
"description": "award_description",
"funding_amount": "total_funding_amount",
}
fabs_field_map = {
"officer_1_name": "high_comp_officer1_full_na",
"officer_1_amount": "high_comp_officer1_amount",
"officer_2_name": "high_comp_officer2_full_na",
"officer_2_amount": "high_comp_officer2_amount",
"officer_3_name": "high_comp_officer3_full_na",
"officer_3_amount": "high_comp_officer3_amount",
"officer_4_name": "high_comp_officer4_full_na",
"officer_4_amount": "high_comp_officer4_amount",
"officer_5_name": "high_comp_officer5_full_na",
"officer_5_amount": "high_comp_officer5_amount",
}
logger.info("Getting total rows")
total_rows = len(award_financial_assistance_data) # - rows_loaded
logger.info("Processing " + str(total_rows) +
" rows of assistance data")
# ROW ITERATION STARTS HERE
award_bulk = []
transaction_assistance_bulk = []
transaction_normalized_bulk = []
awarding_agency_list = []
funding_agency_list = []
logger.info("Getting award objects for {} rows...".format(
len(award_financial_assistance_data)))
for index, row in enumerate(award_financial_assistance_data, 1):
# If awarding toptier agency code (aka CGAC) is not supplied on the D2 record,
# use the sub tier code to look it up. This code assumes that all incoming
# records will supply an awarding subtier agency code
if row["awarding_agency_code"] is None or len(
row["awarding_agency_code"].strip()) < 1:
awarding_subtier_agency_id = subtier_agency_map[
row["awarding_sub_tier_agency_c"]]
awarding_toptier_agency_id = subtier_to_agency_map[
awarding_subtier_agency_id]["toptier_agency_id"]
awarding_toptier_code = toptier_agency_map[
awarding_toptier_agency_id]
row["awarding_agency_code"] = awarding_toptier_code
# If funding toptier agency code (aka CGAC) is empty, try using the sub
# tier funding code to look it up. Unlike the awarding agency, we can't
# assume that the funding agency subtier code will always be present.
if row["funding_agency_code"] is None or len(
row["funding_agency_code"].strip()) < 1:
funding_subtier_agency_id = subtier_agency_map.get(
row["funding_sub_tier_agency_co"])
if funding_subtier_agency_id is not None:
funding_toptier_agency_id = subtier_to_agency_map[
funding_subtier_agency_id]["toptier_agency_id"]
funding_toptier_code = toptier_agency_map[
funding_toptier_agency_id]
else:
funding_toptier_code = None
row["funding_agency_code"] = funding_toptier_code
# Find the award that this award transaction belongs to. If it doesn't exist, create it.
awarding_agency = Agency.get_by_toptier_subtier(
row["awarding_agency_code"], row["awarding_sub_tier_agency_c"])
funding_agency = Agency.get_by_toptier_subtier(
row["funding_agency_code"], row["funding_sub_tier_agency_co"])
awarding_agency_list.append(awarding_agency)
funding_agency_list.append(funding_agency)
# award.save() is called in Award.get_or_create_summary_award by default
created, award = Award.get_or_create_summary_award(
awarding_agency=awarding_agency,
fain=row.get("fain"),
uri=row.get("uri"),
generated_unique_award_id=row.get("unique_award_key"),
save=False,
)
award_bulk.append(award)
award_update_id_list.append(award.id)
award_assistance_update_id_list.append(award.id)
logger.info("Bulk creating {} award rows...".format(len(award_bulk)))
try:
Award.objects.bulk_create(award_bulk)
except IntegrityError:
logger.info("!!! DUPLICATES FOUND. Continuing... ")
logger.info("Getting transaction_normalized for {} rows...".format(
len(award_financial_assistance_data)))
for index, row in enumerate(award_financial_assistance_data, 1):
parent_txn_value_map = {
"award":
award_bulk[index - 1],
"awarding_agency":
awarding_agency_list[index - 1],
"funding_agency":
funding_agency_list[index - 1],
"period_of_performance_start_date":
format_date(row["period_of_performance_star"]),
"period_of_performance_current_end_date":
format_date(row["period_of_performance_curr"]),
"action_date":
format_date(row["action_date"]),
}
transaction_dict = load_data_into_model(
TransactionNormalized(), # thrown away
row,
field_map=fabs_normalized_field_map,
value_map=parent_txn_value_map,
as_dict=True,
)
transaction_normalized = TransactionNormalized.get_or_create_transaction(
**transaction_dict)
transaction_normalized.fiscal_year = fy(
transaction_normalized.action_date)
transaction_normalized_bulk.append(transaction_normalized)
logger.info("Bulk creating {} TransactionNormalized rows...".format(
len(transaction_normalized_bulk)))
try:
TransactionNormalized.objects.bulk_create(
transaction_normalized_bulk)
except IntegrityError:
logger.info(
"Tried and failed to insert duplicate transaction_normalized row. Continuing... "
)
for index, row in enumerate(award_financial_assistance_data, 1):
financial_assistance_data = load_data_into_model(
TransactionFABS(),
row,
field_map=fabs_field_map,
as_dict=True # thrown away
)
transaction_assistance = TransactionFABS(
transaction=transaction_normalized_bulk[index - 1],
**financial_assistance_data)
transaction_assistance_bulk.append(transaction_assistance)
logger.info("Bulk creating TransactionFABS rows...")
try:
TransactionFABS.objects.bulk_create(transaction_assistance_bulk)
except IntegrityError:
logger.info("!!! DUPLICATES FOUND. Continuing... ")
def load_file_d2(
submission_attributes, award_financial_assistance_data, db_cursor, quick, row_preprocessor=no_preprocessing
):
"""
Process and load file D2 broker data (financial assistance award txns).
"""
d_start_time = time.time()
if quick:
setup_broker_fdw()
parameters = {'broker_submission_id': submission_attributes.broker_submission_id}
run_sql_file('usaspending_api/etl/management/load_file_d2.sql', parameters)
logger.info('\n\n\n\nFile D2 time elapsed: {}'.format(time.time() - d_start_time))
return
legal_entity_location_field_map = {
"address_line1": "legal_entity_address_line1",
"address_line2": "legal_entity_address_line2",
"address_line3": "legal_entity_address_line3",
"city_code": "legal_entity_city_code",
"city_name": "legal_entity_city_name",
"congressional_code": "legal_entity_congressional",
"county_code": "legal_entity_county_code",
"county_name": "legal_entity_county_name",
"foreign_city_name": "legal_entity_foreign_city",
"foreign_postal_code": "legal_entity_foreign_posta",
"foreign_province": "legal_entity_foreign_provi",
"state_code": "legal_entity_state_code",
"state_name": "legal_entity_state_name",
"zip5": "legal_entity_zip5",
"zip_last4": "legal_entity_zip_last4",
"location_country_code": "legal_entity_country_code"
}
place_of_performance_field_map = {
"city_name": "place_of_performance_city",
"performance_code": "place_of_performance_code",
"congressional_code": "place_of_performance_congr",
"county_name": "place_of_perform_county_na",
"foreign_location_description": "place_of_performance_forei",
"state_name": "place_of_perform_state_nam",
"zip4": "place_of_performance_zip4a",
"location_country_code": "place_of_perform_country_c"
}
legal_entity_location_value_map = {
"recipient_flag": True
}
place_of_performance_value_map = {
"place_of_performance_flag": True
}
fad_field_map = {
"type": "assistance_type",
"description": "award_description",
}
total_rows = len(award_financial_assistance_data)
start_time = datetime.now()
for index, row in enumerate(award_financial_assistance_data, 1):
if not (index % 100):
logger.info('D2 File Load: Loading row {} of {} ({})'.format(str(index),
str(total_rows),
datetime.now() - start_time))
row = row_preprocessor(row)
legal_entity_location, created = get_or_create_location(
legal_entity_location_field_map, row, legal_entity_location_value_map
)
recipient_name = row['awardee_or_recipient_legal']
if recipient_name is None:
recipient_name = ""
# Create the legal entity if it doesn't exist
legal_entity, created = LegalEntity.objects.get_or_create(
recipient_unique_id=row['awardee_or_recipient_uniqu'],
recipient_name=recipient_name
)
if created:
legal_entity_value_map = {
"location": legal_entity_location,
}
legal_entity = load_data_into_model(legal_entity, row, value_map=legal_entity_value_map, save=True)
# Create the place of performance location
pop_location, created = get_or_create_location(
place_of_performance_field_map, row, place_of_performance_value_map
)
# If awarding toptier agency code (aka CGAC) is not supplied on the D2 record,
# use the sub tier code to look it up. This code assumes that all incoming
# records will supply an awarding subtier agency code
if row['awarding_agency_code'] is None or len(row['awarding_agency_code'].strip()) < 1:
row['awarding_agency_code'] = Agency.get_by_subtier(
row["awarding_sub_tier_agency_c"]).toptier_agency.cgac_code
# If funding toptier agency code (aka CGAC) is empty, try using the sub
# tier funding code to look it up. Unlike the awarding agency, we can't
# assume that the funding agency subtier code will always be present.
if row['funding_agency_code'] is None or len(row['funding_agency_code'].strip()) < 1:
funding_agency = Agency.get_by_subtier(row["funding_sub_tier_agency_co"])
row['funding_agency_code'] = (
funding_agency.toptier_agency.cgac_code if funding_agency is not None
else None)
# Find the award that this award transaction belongs to. If it doesn't exist, create it.
awarding_agency = Agency.get_by_toptier_subtier(
row['awarding_agency_code'],
row["awarding_sub_tier_agency_c"]
)
created, award = Award.get_or_create_summary_award(
awarding_agency=awarding_agency,
piid=row.get('piid'),
fain=row.get('fain'),
uri=row.get('uri'))
award.save()
award_update_id_list.append(award.id)
parent_txn_value_map = {
"award": award,
"awarding_agency": awarding_agency,
"funding_agency": Agency.get_by_toptier_subtier(row['funding_agency_code'],
row["funding_sub_tier_agency_co"]),
"recipient": legal_entity,
"place_of_performance": pop_location,
'submission': submission_attributes,
"period_of_performance_start_date": format_date(row['period_of_performance_star']),
"period_of_performance_current_end_date": format_date(row['period_of_performance_curr']),
"action_date": format_date(row['action_date']),
}
transaction_dict = load_data_into_model(
TransactionNormalized(), # thrown away
row,
field_map=fad_field_map,
value_map=parent_txn_value_map,
as_dict=True)
transaction = TransactionNormalized.get_or_create_transaction(**transaction_dict)
transaction.save()
fad_value_map = {
"submission": submission_attributes,
"cfda": Cfda.objects.filter(program_number=row['cfda_number']).first(),
'reporting_period_start': submission_attributes.reporting_period_start,
'reporting_period_end': submission_attributes.reporting_period_end,
"period_of_performance_start_date": format_date(row['period_of_performance_star']),
"period_of_performance_current_end_date": format_date(row['period_of_performance_curr']),
}
financial_assistance_data = load_data_into_model(
TransactionFABS(), # thrown away
row,
field_map=fad_field_map,
value_map=fad_value_map,
as_dict=True)
transaction_assistance = TransactionFABS.get_or_create_2(transaction=transaction, **financial_assistance_data)
transaction_assistance.save()
logger.info('\n\n\n\nFile D2 time elapsed: {}'.format(time.time() - d_start_time))
