117 lines
5.8 KiB
Python
Executable File
117 lines
5.8 KiB
Python
Executable File
#!.venv/bin/python
|
|
"""
|
|
Orchestratore dei worker che lanciano le elaborazioni
|
|
"""
|
|
|
|
# Import necessary libraries
|
|
import logging
|
|
import asyncio
|
|
|
|
# Import custom modules for configuration and database connection
|
|
from utils.config import loader_matlab_elab as setting
|
|
from utils.database import WorkflowFlags
|
|
from utils.database.action_query import get_tool_info
|
|
from utils.csv.loaders import get_next_csv_atomic
|
|
from utils.orchestrator_utils import run_orchestrator, worker_context
|
|
from utils.database.loader_action import update_status, unlock
|
|
from utils.connect.send_email import send_error_email
|
|
from utils.general import read_error_lines_from_logs
|
|
|
|
# Initialize the logger for this module
|
|
logger = logging.getLogger()
|
|
|
|
# Delay tra un processamento CSV e il successivo (in secondi)
|
|
ELAB_PROCESSING_DELAY = 0.2
|
|
# Tempo di attesa se non ci sono record da elaborare
|
|
NO_RECORD_SLEEP = 60
|
|
|
|
|
|
async def worker(worker_id: int, cfg: object, pool: object) -> None:
|
|
"""Esegue il ciclo di lavoro per l'elaborazione dei dati caricati.
|
|
|
|
Il worker preleva un record dal database che indica dati pronti per
|
|
l'elaborazione, esegue un comando Matlab associato e attende
|
|
prima di iniziare un nuovo ciclo.
|
|
|
|
Args:
|
|
worker_id (int): L'ID univoco del worker.
|
|
cfg (object): L'oggetto di configurazione.
|
|
pool (object): Il pool di connessioni al database.
|
|
"""
|
|
# Imposta il context per questo worker
|
|
worker_context.set(f"W{worker_id:02d}")
|
|
|
|
debug_mode = logging.getLogger().getEffectiveLevel() == logging.DEBUG
|
|
logger.info("Avviato")
|
|
|
|
while True:
|
|
try:
|
|
logger.info("Inizio elaborazione")
|
|
record = await get_next_csv_atomic(pool, cfg.dbrectable, WorkflowFlags.DATA_LOADED, WorkflowFlags.DATA_ELABORATED)
|
|
if record:
|
|
rec_id, _, tool_type, unit_name, tool_name = [x.lower().replace(" ", "_") if isinstance(x, str) else x for x in record]
|
|
if tool_type.lower() != "gd": # i tool GD non devono essere elaborati ???
|
|
tool_elab_info = await get_tool_info(WorkflowFlags.DATA_ELABORATED, unit_name.upper(), tool_name.upper(), pool)
|
|
if tool_elab_info:
|
|
if tool_elab_info['statustools'].lower() in cfg.elab_status:
|
|
logger.info("Elaborazione ID %s per %s %s", rec_id, unit_name, tool_name)
|
|
await update_status(cfg, rec_id, WorkflowFlags.START_ELAB, pool)
|
|
matlab_cmd = f"timeout {cfg.matlab_timeout} ./run_{tool_elab_info['matcall']}.sh {cfg.matlab_runtime} {unit_name.upper()} {tool_name.upper()}"
|
|
proc = await asyncio.create_subprocess_shell(
|
|
matlab_cmd,
|
|
cwd=cfg.matlab_func_path,
|
|
stdout=asyncio.subprocess.PIPE,
|
|
stderr=asyncio.subprocess.PIPE
|
|
)
|
|
|
|
stdout, stderr = await proc.communicate()
|
|
|
|
if proc.returncode != 0:
|
|
logger.error("Errore durante l'elaborazione")
|
|
logger.error(stderr.decode().strip())
|
|
|
|
if proc.returncode == 124:
|
|
error_type = f"Matlab elab excessive duration: killed after {cfg.matlab_timeout} seconds."
|
|
else:
|
|
error_type = f"Matlab elab failed: {proc.returncode}."
|
|
|
|
# da verificare i log dove prenderli
|
|
# with open(f"{cfg.matlab_error_path}{unit_name}{tool_name}_output_error.txt", "w") as f:
|
|
# f.write(stderr.decode().strip())
|
|
# errors = [line for line in stderr.decode().strip() if line.startswith("Error")]
|
|
# warnings = [line for line in stderr.decode().strip() if not line.startswith("Error")]
|
|
|
|
errors, warnings = await read_error_lines_from_logs(cfg.matlab_error_path, f"_{unit_name}_{tool_name}*_*_output_error.txt")
|
|
await send_error_email(unit_name.upper(), tool_name.upper(), tool_elab_info['matcall'], error_type, errors, warnings)
|
|
|
|
|
|
else:
|
|
logger.info(stdout.decode().strip())
|
|
await update_status(cfg, rec_id, WorkflowFlags.DATA_ELABORATED, pool)
|
|
await unlock(cfg, rec_id, pool)
|
|
await asyncio.sleep(ELAB_PROCESSING_DELAY)
|
|
else:
|
|
logger.info("ID %s %s - %s %s: MatLab calc by-passed.", rec_id, unit_name, tool_name, tool_elab_info['statustools'])
|
|
await update_status(cfg, rec_id, WorkflowFlags.DATA_ELABORATED, pool)
|
|
await update_status(cfg, rec_id, WorkflowFlags.DUMMY_ELABORATED, pool)
|
|
await unlock(cfg, rec_id, pool)
|
|
else:
|
|
await update_status(cfg, rec_id, WorkflowFlags.DATA_ELABORATED, pool)
|
|
await update_status(cfg, rec_id, WorkflowFlags.DUMMY_ELABORATED, pool)
|
|
await unlock(cfg, rec_id, pool)
|
|
|
|
else:
|
|
logger.info("Nessun record disponibile")
|
|
await asyncio.sleep(NO_RECORD_SLEEP)
|
|
|
|
except Exception as e: # pylint: disable=broad-except
|
|
logger.error("Errore durante l'esecuzione: %s", e, exc_info=debug_mode)
|
|
await asyncio.sleep(1)
|
|
|
|
|
|
async def main():
|
|
"""Funzione principale che avvia l'elab_orchestrator."""
|
|
await run_orchestrator(setting.Config, worker)
|
|
|
|
if __name__ == "__main__":
|
|
asyncio.run(main()) |