def load_transaction_normalized(self, fabs_broker_data, total_rows): start_time = datetime.now() for index, row in enumerate(fabs_broker_data, 1): if not (index % 10000): logger.info( 'Transaction Normalized: Loading row {} of {} ({})'.format( str(index), str(total_rows), datetime.now() - start_time)) parent_txn_value_map = { "award": award_lookup[index - 1], "awarding_agency": awarding_agency_list[index - 1], "funding_agency": funding_agency_list[index - 1], "recipient": legal_entity_lookup[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']), "last_modified_date": row['modified_at'] } fad_field_map = { "type": "assistance_type", "description": "award_description", } transaction_normalized = load_data_into_model( TransactionNormalized(), row, field_map=fad_field_map, value_map=parent_txn_value_map, as_dict=False, save=False) transaction_normalized.fiscal_year = fy( transaction_normalized.action_date) transaction_normalized_bulk.append(transaction_normalized) logger.info( 'Bulk creating Transaction Normalized (batch_size: {})...'.format( BATCH_SIZE)) TransactionNormalized.objects.bulk_create(transaction_normalized_bulk, batch_size=BATCH_SIZE)
def totals(self): outlays = defaultdict(Decimal) obligations = defaultdict(Decimal) budget_authority = defaultdict(Decimal) for ab in self.account_balances.all(): fiscal_year = fy(ab.reporting_period_start) budget_authority[fiscal_year] += ab.budget_authority_appropriated_amount_cpe outlays[fiscal_year] += ab.gross_outlay_amount_by_tas_cpe obligations[fiscal_year] += ab.obligations_incurred_total_by_tas_cpe results = { 'outgoing': { 'outlays': outlays, 'obligations': obligations, 'budget_authority': budget_authority, }, 'incoming': {} } return results
def totals_object_class(self): results = [] for object_class in self.object_classes: obligations = defaultdict(Decimal) outlays = defaultdict(Decimal) for pb in self.program_balances.filter(object_class=object_class): reporting_fiscal_year = fy(pb.submission.reporting_period_start) obligations[reporting_fiscal_year] += pb.obligations_incurred_by_program_object_class_cpe outlays[reporting_fiscal_year] += pb.gross_outlay_amount_by_program_object_class_cpe result = { 'major_object_class_code': None, 'major_object_class_name': None, # TODO: enable once ObjectClass populated 'object_class': object_class.object_class, # TODO: remove 'outlays': obligations, 'obligations': outlays, } results.append(result) return results
def totals_program_activity(self): results = [] for pa in self.program_activities: obligations = defaultdict(Decimal) outlays = defaultdict(Decimal) for pb in self.program_balances.filter(program_activity=pa): reporting_fiscal_year = fy(pb.submission.reporting_period_start) # TODO: once it is present, use the reporting_fiscal_year directly obligations[reporting_fiscal_year] += pb.obligations_incurred_by_program_object_class_cpe outlays[reporting_fiscal_year] += pb.gross_outlay_amount_by_program_object_class_cpe result = { 'id': pa.id, 'program_activity_name': pa.program_activity_name, 'program_activity_code': pa.program_activity_code, 'obligations': obligations, 'outlays': outlays, } results.append(result) return results
def load_quarterly_spreadsheets(self, quarter, results, overall_totals): """Special procedure for getting quarterly update .xls files These are downloaded from MAX Information and Reports (Executive, Legislative, and Judicial Users) https://max.omb.gov/maxportal/document/SF133/Budget/FY%202017%20-%20SF%20133%20Reports%20on%20Budget%20Execution%20and%20Budgetary%20Resources.html """ quarterly_path = os.path.join(self.directory, 'quarterly', '*.xls') this_fy = fy(date.today()) overall_totals[this_fy] = 0 amount_column = 'Q{}_AMT'.format(quarter) for filename in glob.glob(quarterly_path): workbook = open_workbook(filename) sheet = workbook.sheets()[0] headers = [cell.value for cell in sheet.row(0)] for i in range(1, sheet.nrows): row = dict(zip(headers, (cell.value for cell in sheet.row(i)))) if row['LNO'] == '2500': dollars = int(row[amount_column]) * 1000 results[(row['TRAG'], None, this_fy)] = dollars overall_totals[this_fy] += dollars
def load_transaction_normalized(self, fpds_broker_data, total_rows): start_time = datetime.now() for index, row in enumerate(fpds_broker_data, 1): if not (index % 10000): logger.info('Transaction Normalized: Loading row {} of {} ({})'.format(str(index), str(total_rows), datetime.now() - start_time)) parent_txn_value_map = { "award": award_lookup[index - 1], "awarding_agency": awarding_agency_list[index - 1], "funding_agency": funding_agency_list[index - 1], "recipient": legal_entity_lookup[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']), "last_modified_date": row['last_modified'] } contract_field_map = { "type": "contract_award_type", "description": "award_description" } transaction_normalized = load_data_into_model( TransactionNormalized(), row, field_map=contract_field_map, value_map=parent_txn_value_map, as_dict=False, save=False) transaction_normalized.fiscal_year = fy(transaction_normalized.action_date) transaction_normalized_bulk.append(transaction_normalized) logger.info('Bulk creating Transaction Normalized (batch_size: {})...'.format(BATCH_SIZE)) TransactionNormalized.objects.bulk_create(transaction_normalized_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 insert_new_fpds(self, to_insert, total_rows): logger.info('Starting insertion of new FPDS data') place_of_performance_field_map = { "location_country_code": "place_of_perform_country_c", "country_name": "place_of_perf_country_desc", "state_code": "place_of_performance_state", "state_name": "place_of_perfor_state_desc", "city_name": "place_of_perform_city_name", "county_name": "place_of_perform_county_na", "county_code": "place_of_perform_county_co", "zip_4a": "place_of_performance_zip4a", "congressional_code": "place_of_performance_congr", "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_descrip", "city_name": "legal_entity_city_name", "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", "zip4": "legal_entity_zip4", "congressional_code": "legal_entity_congressional", "zip_last4": "legal_entity_zip_last4", "zip5": "legal_entity_zip5" } start_time = datetime.now() for index, row in enumerate(to_insert, 1): if not (index % 1000): logger.info( 'Inserting Stale FPDS: Inserting row {} of {} ({})'.format( str(index), str(total_rows), datetime.now() - start_time)) 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, "is_fpds": 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='fpds'), "is_fpds": True } set_legal_entity_boolean_fields(row) 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 # "CONT_AW_" + agency_id + referenced_idv_agency_iden + piid + parent_award_id generated_unique_id = 'CONT_AW_' + (row['agency_id'] if row['agency_id'] else '-NONE-') + '_' + \ (row['referenced_idv_agency_iden'] if row['referenced_idv_agency_iden'] else '-NONE-') + '_' + \ (row['piid'] if row['piid'] else '-NONE-') + '_' + \ (row['parent_award_id'] if row['parent_award_id'] else '-NONE-') # Create the summary Award (created, award) = Award.get_or_create_summary_award( generated_unique_award_id=generated_unique_id, piid=row['piid']) award.parent_award_piid = row.get('parent_award_id') award.save() # Append row to list of Awards updated award_update_id_list.append(award.id) try: last_mod_date = datetime.strptime(str( row['last_modified']), "%Y-%m-%d %H:%M:%S.%f").date() except ValueError: last_mod_date = datetime.strptime(str(row['last_modified']), "%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, "transaction_unique_id": row['detached_award_proc_unique'], "generated_unique_award_id": generated_unique_id, "is_fpds": True } contract_field_map = { "type": "contract_award_type", "type_description": "contract_award_type_desc", "description": "award_description" } transaction_normalized_dict = load_data_into_model( TransactionNormalized(), # thrown away row, field_map=contract_field_map, value_map=parent_txn_value_map, as_dict=True) contract_instance = load_data_into_model( TransactionFPDS(), # thrown away row, as_dict=True) detached_award_proc_unique = contract_instance[ 'detached_award_proc_unique'] unique_fpds = TransactionFPDS.objects.filter( detached_award_proc_unique=detached_award_proc_unique) if unique_fpds.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_fpds.first().transaction.id).\ update(**transaction_normalized_dict) # update TransactionFPDS unique_fpds.update(**contract_instance) else: # create TransactionNormalized transaction = TransactionNormalized( **transaction_normalized_dict) transaction.save() # create TransactionFPDS transaction_fpds = TransactionFPDS(transaction=transaction, **contract_instance) transaction_fpds.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 get_date_signed__fy(self, obj): return fy(obj.date_signed)
def insert_new_fpds(self, to_insert, total_rows): place_of_performance_field_map = { "location_country_code": "place_of_perform_country_c", "country_name": "place_of_perf_country_desc", "state_code": "place_of_performance_state", "state_name": "place_of_perfor_state_desc", "city_name": "place_of_perform_city_name", "county_name": "place_of_perform_county_na", "county_code": "place_of_perform_county_co", "zip_4a": "place_of_performance_zip4a", "congressional_code": "place_of_performance_congr", "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_descrip", "city_name": "legal_entity_city_name", "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", "zip4": "legal_entity_zip4", "congressional_code": "legal_entity_congressional", "zip_last4": "legal_entity_zip_last4", "zip5": "legal_entity_zip5", } fpds_normalized_field_map = { "type": "contract_award_type", "description": "award_description" } fpds_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" } for index, row in enumerate(to_insert, 1): 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, "is_fpds": 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="fpds"), "is_fpds": True, } set_legal_entity_boolean_fields(row) 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"], piid=row["piid"], ) award.parent_award_piid = row.get("parent_award_id") award.save() # Append row to list of Awards updated AWARD_UPDATE_ID_LIST.append(award.id) if row["last_modified"] and len(str(row["last_modified"])) == len("YYYY-MM-DD HH:MM:SS"): # 19 characters dt_fmt = "%Y-%m-%d %H:%M:%S" else: dt_fmt = "%Y-%m-%d %H:%M:%S.%f" # try using this even if last_modified isn't a valid string try: last_mod_date = datetime.strptime(str(row["last_modified"]), dt_fmt).date() except ValueError: # handle odd-string formats and NULLs from the upstream FPDS-NG system info_message = "Invalid value '{}' does not match: '{}'".format(row["last_modified"], dt_fmt) logger.info(info_message) last_mod_date = None award_type, award_type_desc = award_types(row) 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, "transaction_unique_id": row["detached_award_proc_unique"], "is_fpds": True, "type": award_type, "type_description": award_type_desc, } transaction_normalized_dict = load_data_into_model( TransactionNormalized(), # thrown away row, field_map=fpds_normalized_field_map, value_map=parent_txn_value_map, as_dict=True, ) contract_instance = load_data_into_model( TransactionFPDS(), # thrown away row, field_map=fpds_field_map, as_dict=True ) detached_award_proc_unique = contract_instance["detached_award_proc_unique"] unique_fpds = TransactionFPDS.objects.filter(detached_award_proc_unique=detached_award_proc_unique) if unique_fpds.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_fpds.first().transaction.id).update( **transaction_normalized_dict ) # update TransactionFPDS unique_fpds.update(**contract_instance) else: # create TransactionNormalized transaction = TransactionNormalized(**transaction_normalized_dict) transaction.save() # create TransactionFPDS transaction_fpds = TransactionFPDS(transaction=transaction, **contract_instance) transaction_fpds.save() # Update legal entity to map back to transaction legal_entity.transaction_unique_id = detached_award_proc_unique legal_entity.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 test_fy_type_exceptions(not_date): with pytest.raises(TypeError): fy(not_date)
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 test_fy_returns_correct(raw_date, expected_fy): assert fy(raw_date) == expected_fy
def test_fy_none(): assert fy(None) is None
def test_fy_returns_integer(raw_date, expected_fy): assert isinstance(fy(raw_date), int)
def insert_new_fpds(self, to_insert, total_rows): place_of_performance_field_map = { "location_country_code": "place_of_perform_country_c", "country_name": "place_of_perf_country_desc", "state_code": "place_of_performance_state", "state_name": "place_of_perfor_state_desc", "city_name": "place_of_perform_city_name", "county_name": "place_of_perform_county_na", "county_code": "place_of_perform_county_co", "zip_4a": "place_of_performance_zip4a", "congressional_code": "place_of_performance_congr", "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_descrip", "city_name": "legal_entity_city_name", "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", "zip4": "legal_entity_zip4", "congressional_code": "legal_entity_congressional", "zip_last4": "legal_entity_zip_last4", "zip5": "legal_entity_zip5", } for index, row in enumerate(to_insert, 1): 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, "is_fpds": 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="fpds"), "is_fpds": True, } set_legal_entity_boolean_fields(row) 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 # "CONT_AW_" + agency_id + referenced_idv_agency_iden + piid + parent_award_id generated_unique_id = ( "CONT_AW_" + (row["agency_id"] if row["agency_id"] else "-NONE-") + "_" + (row["referenced_idv_agency_iden"] if row["referenced_idv_agency_iden"] else "-NONE-") + "_" + (row["piid"] if row["piid"] else "-NONE-") + "_" + (row["parent_award_id"] if row["parent_award_id"] else "-NONE-") ) # Create the summary Award (created, award) = Award.get_or_create_summary_award( generated_unique_award_id=generated_unique_id, piid=row["piid"] ) award.parent_award_piid = row.get("parent_award_id") award.save() # Append row to list of Awards updated AWARD_UPDATE_ID_LIST.append(award.id) if row["last_modified"] and len(str(row["last_modified"])) == len("YYYY-MM-DD HH:MM:SS"): # 19 characters dt_fmt = "%Y-%m-%d %H:%M:%S" else: dt_fmt = "%Y-%m-%d %H:%M:%S.%f" # try using this even if last_modified isn't a valid string try: last_mod_date = datetime.strptime(str(row["last_modified"]), dt_fmt).date() except ValueError: # handle odd-string formats and NULLs from the upstream FPDS-NG system info_message = "Invalid value '{}' does not match: '{}'".format(row["last_modified"], dt_fmt) logger.info(info_message) last_mod_date = None award_type, award_type_desc = award_types(row) 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, "transaction_unique_id": row["detached_award_proc_unique"], "generated_unique_award_id": generated_unique_id, "is_fpds": True, "type": award_type, "type_description": award_type_desc, } contract_field_map = {"description": "award_description"} transaction_normalized_dict = load_data_into_model( TransactionNormalized(), # thrown away row, field_map=contract_field_map, value_map=parent_txn_value_map, as_dict=True, ) contract_instance = load_data_into_model(TransactionFPDS(), row, as_dict=True) # thrown away detached_award_proc_unique = contract_instance["detached_award_proc_unique"] unique_fpds = TransactionFPDS.objects.filter(detached_award_proc_unique=detached_award_proc_unique) if unique_fpds.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_fpds.first().transaction.id).update( **transaction_normalized_dict ) # update TransactionFPDS unique_fpds.update(**contract_instance) else: # create TransactionNormalized transaction = TransactionNormalized(**transaction_normalized_dict) transaction.save() # create TransactionFPDS transaction_fpds = TransactionFPDS(transaction=transaction, **contract_instance) transaction_fpds.save() # Update legal entity to map back to transaction legal_entity.transaction_unique_id = detached_award_proc_unique legal_entity.save()
def insert_new_fpds(self, to_insert, total_rows): place_of_performance_field_map = { "location_country_code": "place_of_perform_country_c", "country_name": "place_of_perf_country_desc", "state_code": "place_of_performance_state", "state_name": "place_of_perfor_state_desc", "city_name": "place_of_perform_city_name", "county_name": "place_of_perform_county_na", "county_code": "place_of_perform_county_co", "zip_4a": "place_of_performance_zip4a", "congressional_code": "place_of_performance_congr", "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_descrip", "city_name": "legal_entity_city_name", "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", "zip4": "legal_entity_zip4", "congressional_code": "legal_entity_congressional", "zip_last4": "legal_entity_zip_last4", "zip5": "legal_entity_zip5", } for index, row in enumerate(to_insert, 1): 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, "is_fpds": 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="fpds"), "is_fpds": True, } set_legal_entity_boolean_fields(row) 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 # "CONT_AW_" + agency_id + referenced_idv_agency_iden + piid + parent_award_id generated_unique_id = ( "CONT_AW_" + (row["agency_id"] if row["agency_id"] else "-NONE-") + "_" + (row["referenced_idv_agency_iden"] if row["referenced_idv_agency_iden"] else "-NONE-") + "_" + (row["piid"] if row["piid"] else "-NONE-") + "_" + (row["parent_award_id"] if row["parent_award_id"] else "-NONE-")) # Create the summary Award (created, award) = Award.get_or_create_summary_award( generated_unique_award_id=generated_unique_id, piid=row["piid"]) award.parent_award_piid = row.get("parent_award_id") award.save() # Append row to list of Awards updated AWARD_UPDATE_ID_LIST.append(award.id) try: last_mod_date = datetime.strptime(str( row["last_modified"]), "%Y-%m-%d %H:%M:%S.%f").date() except ValueError: last_mod_date = datetime.strptime(str(row["last_modified"]), "%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, "transaction_unique_id": row["detached_award_proc_unique"], "generated_unique_award_id": generated_unique_id, "is_fpds": True, } contract_field_map = { "type": "contract_award_type", "type_description": "contract_award_type_desc", "description": "award_description", } transaction_normalized_dict = load_data_into_model( TransactionNormalized(), # thrown away row, field_map=contract_field_map, value_map=parent_txn_value_map, as_dict=True, ) contract_instance = load_data_into_model( TransactionFPDS(), row, as_dict=True) # thrown away detached_award_proc_unique = contract_instance[ "detached_award_proc_unique"] unique_fpds = TransactionFPDS.objects.filter( detached_award_proc_unique=detached_award_proc_unique) if unique_fpds.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_fpds.first().transaction.id).update( **transaction_normalized_dict) # update TransactionFPDS unique_fpds.update(**contract_instance) else: # create TransactionNormalized transaction = TransactionNormalized( **transaction_normalized_dict) transaction.save() # create TransactionFPDS transaction_fpds = TransactionFPDS(transaction=transaction, **contract_instance) transaction_fpds.save() # Update legal entity to map back to transaction legal_entity.transaction_unique_id = detached_award_proc_unique legal_entity.save()
def save(self, *args, **kwargs): self.fiscal_year = fy(self.action_date) super().save(*args, **kwargs)
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... ')