def test4():
filename = os.path.join(img_dir, sys._getframe().f_code.co_name)
with Diagram("Event Processing", show=False, filename=filename):
source = EKS("k8s source")
with Cluster("Event Flows"):
with Cluster("Event Workers"):
workers = [ECS("worker1"), ECS("worker2"), ECS("worker3")]
queue = SQS("event queue")
with Cluster("Processing"):
handlers = [Lambda("proc1"), Lambda("proc2"), Lambda("proc3")]
store = S3("events store")
dw = Redshift("analytics")
source >> workers >> queue >> handlers
handlers >> store
handlers >> dw
temp_4 = S3('industry_energy')
temp_5 = S3('industry_skilled_oriented')
temp_6 = S3('industry_rd_oriented')
input_china_import_export = S3("china_import_export")
input_city_cn_en = S3("city_cn_en")
input_china_country_name = S3("china_country_name")
input_china_applied_mfn_tariffs_hs2 = S3("china_applied_mfn_tariffs_hs2")
input_hs6_china_vat_rebate = S3("hs6_china_vat_rebate")
temp_7 = SQS('china_export_tariff_tax')
temp_8 = SQS('china_product_quality')
temp_10 = SQS('export_foreign_city_product')
temp_11 = SQS('export_soe_city_product')
with Cluster("FINAL"):
temp_final_0 = Redshift('china_vat_quality')
temp_final_0 << temp_1
temp_final_0 << temp_2
temp_final_0 << temp_3
temp_final_0 << temp_4
temp_final_0 << temp_5
temp_final_0 << temp_6
input_china_import_export >> temp_7
input_city_cn_en >> temp_7
input_china_country_name >> temp_7
input_china_applied_mfn_tariffs_hs2 >> temp_7
input_hs6_china_vat_rebate >> temp_7 >> temp_final_0
temp_7 >> temp_8 >> temp_final_0
input_china_import_export >> temp_10
input_city_cn_en >> temp_10 >> temp_final_0
from diagrams.onprem.database import Mssql, Mysql, MariaDB, Oracle, Postgresql
from diagrams.azure.database import SQLDatawarehouse
from diagrams.azure.analytics import AnalysisServices
from diagrams.aws.database import Redshift
node_attr = {"fontsize": "20"}
graph_attr = {"fontsize": "28"}
with Diagram("", show=False, direction="TB", node_attr=node_attr):
with Cluster("On-Premises", graph_attr=graph_attr):
with Cluster("Commercial Platforms", graph_attr=graph_attr):
closed_source = [
Oracle("\n+ Essbase\n& Hyperion"),
Mssql("\n+ Analysis\nServices")
]
with Cluster("Open Source Platforms", graph_attr=graph_attr):
with Cluster(""):
mysql = Mysql("")
mysql >> [MariaDB("MariaDB")]
open_source = [mysql, Postgresql("PostgreSQL")]
with Cluster("Cloud", graph_attr=graph_attr):
with Cluster("Azure", graph_attr=graph_attr):
azure = [
SQLDatawarehouse("\nAzure\nSynapse\nAnalytics"),
AnalysisServices("\n\nAnalysis\nServices")
]
with Cluster("AWS", graph_attr=graph_attr):
aws = [Redshift("\nRedshift")]
temp_4 = S3('china_city_reduction_mandate')
temp_5 = S3('china_city_tcz_spz')
temp_6 = S3('ind_cic_2_name')
temp_7 = S3('china_sector_pollution_threshold')
temp_8 = S3('china_city_sector_year_pollution_threshold')
temp_9 = S3('china_credit_constraint')
temp_10 = S3('asif_firms_prepared')
temp_11 = S3('asif_industry_characteristics_ownership')
temp_12 = S3('asif_city_characteristics_ownership')
temp_13 = S3('china_spatial_relocation')
temp_14 = S3('province_loan_and_credit')
temp_15 = S3('bank_socb_loan')
with Cluster("FINAL"):
temp_final_0 = Redshift('fin_dep_pollution_baseline_industry')
temp_final_0 << temp_1
temp_final_0 << temp_2
temp_final_0 << temp_3
temp_final_0 << temp_4
temp_final_0 << temp_5
temp_final_0 << temp_6
temp_final_0 << temp_7
temp_final_0 << temp_8
temp_final_0 << temp_9
temp_final_0 << temp_10
temp_final_0 << temp_11
temp_final_0 << temp_12
temp_final_0 << temp_13
temp_final_0 << temp_14