def after_model_change(self, form, model, is_created): # Discover tables and added data source conf = Conf(datetime.utcnow()) db = model.get_db_object() check_for_new_tables(db, conf) create_dashboards()
def main(): parser = argparse.ArgumentParser( description="Either create dashboards in grafana or run manual data ingestion of data metrics" ) parser.add_argument( "--grafana", action="store_true", help="Setup grafana dashboards, based on existing metrics" ) parser.add_argument( "--metrics", action="store_true", help="Push metrics to redata" ) args = parser.parse_args() if not any((args.grafana, args.metrics)): print("Specify at least one of --grafana --metrics ") if args.grafana: create_dashboards() if args.metrics: for db in source_dbs: print ("run_check_for_new_table") run_check_for_new_tables(db) print("run_checks") run_checks(db)
def main(): parser = argparse.ArgumentParser( description="Either create dashboards in grafana or run manual data ingestion of data metrics" ) parser.add_argument( "--grafana", action="store_true", help="Setup grafana dashboards, based on existing metrics", ) parser.add_argument("--metrics", action="store_true", help="Push metrics to redata") parser.add_argument( "--generate-sample-data", action="store_true", help="Add sample data to REDATA DB for demonstration", ) parser.add_argument( "--create-admin-user", action="store_true", help="Generate admin user" ) parser.add_argument( "--backfill", dest="backfill_days", action="store", nargs="?", type=int, help="Run backfill for last X days of metrics data", ) args = parser.parse_args() if not any( ( args.grafana, args.metrics, args.backfill_days, args.generate_sample_data, args.create_admin_user, ) ): print("No arugments supplied, write -h to get list of possible commands") if args.grafana: create_dashboards() if args.metrics: for db in DataSource.source_dbs(): print("run_check_for_new_table") run_check_for_new_tables(db, Conf(datetime.utcnow())) print("run_checks") run_checks(db, Conf(datetime.utcnow())) print("run alerts") run_compute_alerts(db, Conf(datetime.utcnow())) if args.generate_sample_data: create_sample_tables_in_redata() if args.backfill_days: days = args.backfill_days for db in DataSource.source_dbs(): run_check_for_new_tables(db, Conf(datetime.utcnow())) past = datetime.utcnow() - timedelta(days=days) while past <= datetime.utcnow(): run_checks(db, Conf(past)) run_compute_alerts(db, Conf(past)) past += timedelta(days=1) if args.create_admin_user: User.create_admin_user_if_not_exist()
def generate_grafana(): print(f"Generating grafana dashboards: [BEGIN]") create_dashboards() print(f"Generating grafana dashboards: [DONE]")
def main(): parser = argparse.ArgumentParser( description= "Either create dashboards in grafana or run manual data ingestion of data metrics" ) parser.add_argument( "--grafana", action="store_true", help="Setup grafana dashboards, based on existing metrics") parser.add_argument("--metrics", action="store_true", help="Push metrics to redata") parser.add_argument("--generate-sample-data", action="store_true", help="Add sample data to REDATA DB for demonstration") parser.add_argument("--backfill", dest='backfill_days', action="store", nargs='?', type=int, help="Run backfill for last X days of metrics data") args = parser.parse_args() if not any((args.grafana, args.metrics, args.backfill_days, args.generate_sample_data)): print("Specify at least one of --grafana --metrics ") if args.grafana: create_dashboards() if args.metrics: for db in source_dbs: print("run_check_for_new_table") run_check_for_new_tables(db, Conf(datetime.utcnow())) print("run_checks") run_checks(db, Conf(datetime.utcnow())) print("run alerts") run_compute_alerts(db, Conf(datetime.utcnow())) if args.generate_sample_data: create_sample_tables_in_redata() if args.backfill_days: days = args.backfill_days for db in source_dbs: run_check_for_new_tables(db, Conf(datetime.utcnow())) past = datetime.utcnow() - timedelta(days=days) while past <= datetime.utcnow(): run_checks(db, Conf(past)) run_compute_alerts(db, Conf(past)) past += timedelta(days=1)