def initdb():
res = postgresops.check_and_create_table(
"devices.physical",
(("id", "integer primary key"),
("idstr","varchar"),
("device_type","varchar"),
("source_name","varchar"),
("feed_names","varchar[]"),
("source_ids","varchar[]")
))
res = postgresops.check_and_create_table(
"devices.metadata",
(("id", "integer primary key"),
("parent", "integer"),
("key","varchar"),
("value","varchar"),
("devices","integer[]")
))
def initdb():
res = postgresops.check_and_create_table(
"learning.hmmgaussianemissions",
(("plugload_id", "integer"),
("data_from","timestamp"),
("data_to","timestamp"),
("state_ids","integer[]"),
("counts","integer[]"),
("means","real[]"),
("variances","real[]"),
))
def initdb():
res = postgresops.check_and_create_table(
"flows.curflows",
(("flowdef", "varchar"),
("time_from","timestamp"),
("time_to","timestamp"),
("source_name","varchar"),
("source_id","varchar"),
("task_ids","integer[]"),
("file_ids","integer[]"),
("status","integer")
))
def initdb():
res = postgresops.check_and_create_table(
"flows.files",
(("id", "integer primary key"),
("file_name", "varchar"),
("directory", "boolean"),
("time_from","timestamp"),
("time_to","timestamp"),
("source_name","varchar"),
("source_id","varchar"),
("steps","varchar"),
("status","integer"),
("task_id","integer")
))
def initdb():
res = postgresops.check_and_create_table(
"schedule.tasks",
(("id", "integer primary key"),
("command","varchar"),
("profile_tag","varchar"),
("prerequisites","integer[]"),
("start_after","timestamp"),
("deadline_s","integer"),
("start_time","timestamp"),
("end_time","timestamp"),
("cpu_usage_s","integer"),
("status","smallint"),
("progress_steps_done","smallint"),
("progress_steps_total","smallint"),
("step_description","varchar"),
("step_progress_str","varchar"),
("pid","integer"),
("log_file","varchar")
))
if res: # if a new table was created, create the index
postgresops.dbcur.execute("CREATE UNIQUE INDEX schedule_tasks_index_%d ON schedule.tasks (start_time)"%(id_rgen.randint(0,2**31-1),))
postgresops.dbcon.commit()