refactory old script
This commit is contained in:
@@ -1,6 +1,11 @@
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import asyncio
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import tempfile
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import os
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from utils.database.loader_action import load_data, update_status, unlock
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from utils.database import WorkflowFlags
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from utils.csv.data_preparation import make_pipe_sep_matrix, make_ain_din_matrix, make_channels_matrix, make_tlp_matrix, make_gd_matrix, make_musa_matrix
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from utils.csv.data_preparation import make_pipe_sep_matrix, make_ain_din_matrix, make_channels_matrix, make_tlp_matrix, make_gd_matrix, make_musa_matrix, get_data
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import logging
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@@ -90,4 +95,48 @@ async def get_next_csv_atomic(pool: object, table_name: str, status: int, next_s
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except Exception as e:
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# Rollback in caso di errore
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await conn.rollback()
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raise e
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raise e
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async def main_old_script_loader(cfg: object, id: int, pool: object, script_name: str) -> None:
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#async def main_loader(cfg: object, id: int, pool: object) -> None:
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"""
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This function retrieves CSV data, writes it to a temporary file,
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executes an external Python script to process it,
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and then updates the workflow status in the database.
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Args:
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cfg (object): The configuration object.
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id (int): The ID of the CSV record to process.
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pool (object): The database connection pool.
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script_name (str): The name of the script to execute (without the .py extension).
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"""
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filename, UnitName, ToolNameID, ToolData = await get_data(cfg, id, pool)
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# Creare un file temporaneo
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with tempfile.NamedTemporaryFile(mode='w', prefix= filename, suffix='.csv', delete=False) as temp_file:
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temp_file.write(ToolData)
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temp_filename = temp_file.name
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try:
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# Usa asyncio.subprocess per vero async
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process = await asyncio.create_subprocess_exec(
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'python3', f'old_script/{script_name}.py', temp_filename,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE
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)
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stdout, stderr = await process.communicate()
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result_stdout = stdout.decode('utf-8')
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result_stderr = stderr.decode('utf-8')
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finally:
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# Pulire il file temporaneo
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os.unlink(temp_filename)
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if process.returncode != 0:
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logger.error(f"Errore nell'esecuzione del programma {script_name}.py: {result_stderr}")
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raise Exception(f"Errore nel programma: {result_stderr}")
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else:
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logger.info(f"Programma {script_name}.py eseguito con successo.")
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logger.debug(f"Stdout: {result_stdout}")
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await update_status(cfg, id, WorkflowFlags.DATA_LOADED, pool)
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await update_status(cfg, id, WorkflowFlags.DATA_ELABORATED, pool)
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await unlock(cfg, id, pool)
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@@ -1,55 +1,17 @@
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import asyncio
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import tempfile
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import os
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from utils.csv.loaders import main_old_script_loader as hirpinia_main_loader
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from utils.database import WorkflowFlags
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from utils.database.loader_action import update_status, unlock
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from utils.csv.data_preparation import get_data
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import logging
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logger = logging.getLogger(__name__)
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async def main_loader(cfg: object, id: int, pool: object) -> None:
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"""
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Loads and processes CSV data specific to the 'hirpinia_hirpinia' type.
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This function retrieves CSV data, writes it to a temporary file,
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executes an external Python script ('hirpiniaLoadScript.py') to process it,
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and then updates the workflow status in the database.
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"""
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Carica ed elabora i dati CSV specifici per il tipo 'hirpinia_hirpinia'.
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Questa funzione è un wrapper per `main_old_script_loader` e passa il nome
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dello script di elaborazione come "hirpiniaLoadScript".
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Args:
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cfg (object): The configuration object.
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id (int): The ID of the CSV record to process.
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pool (object): The database connection pool.
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cfg (object): L'oggetto di configurazione.
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id (int): L'ID del record CSV da elaborare.
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pool (object): Il pool di connessioni al database.
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"""
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filename, UnitName, ToolNameID, ToolData = await get_data(cfg, id, pool)
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# Creare un file temporaneo
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with tempfile.NamedTemporaryFile(mode='w', prefix= filename, suffix='.csv', delete=False) as temp_file:
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temp_file.write(ToolData)
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temp_filename = temp_file.name
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try:
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# Usa asyncio.subprocess per vero async
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process = await asyncio.create_subprocess_exec(
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'python3', 'old_script/hirpiniaLoadScript.py', temp_filename,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE
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)
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stdout, stderr = await process.communicate()
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result_stdout = stdout.decode('utf-8')
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result_stderr = stderr.decode('utf-8')
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finally:
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# Pulire il file temporaneo
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os.unlink(temp_filename)
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if process.returncode != 0:
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logger.error(f"Errore nell'esecuzione del programma hirpiniaLoadScript.py: {result_stderr}")
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raise Exception(f"Errore nel programma: {result_stderr}")
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else:
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logger.info("Programma hirpiniaLoadScript.py eseguito con successo.")
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logger.debug(f"Stdout: {result_stdout}")
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await update_status(cfg, id, WorkflowFlags.DATA_LOADED, pool)
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await update_status(cfg, id, WorkflowFlags.DATA_ELABORATED, pool)
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await unlock(cfg, id, pool)
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await hirpinia_main_loader(cfg, id, pool, "hirpiniaLoadScript")
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@@ -1,56 +1,17 @@
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import asyncio
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import tempfile
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import os
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from utils.csv.loaders import main_old_script_loader as vulink_main_loader
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from utils.database import WorkflowFlags
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from utils.database.loader_action import update_status, unlock
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from utils.csv.data_preparation import get_data
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import logging
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logger = logging.getLogger(__name__)
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async def main_loader(cfg: object, id: int, pool: object) -> None:
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"""
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Loads and processes CSV data specific to the 'isi_csv_log_vulink' type.
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This function retrieves CSV data, writes it to a temporary file,
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executes an external Python script ('vulinkScript.py') to process it,
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and then updates the workflow status in the database.
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"""
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Carica ed elabora i dati CSV specifici per il tipo 'isi_csv_log_vulink'.
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Questa funzione è un wrapper per `vulink_main_loader` e passa il nome
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dello script di elaborazione come "vulinkScript".
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Args:
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cfg (object): The configuration object.
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id (int): The ID of the CSV record to process.
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pool (object): The database connection pool.
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cfg (object): L'oggetto di configurazione.
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id (int): L'ID del record CSV da elaborare.
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pool (object): Il pool di connessioni al database.
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"""
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filename, UnitName, ToolNameID, ToolData = await get_data(cfg, id, pool)
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# Creare un file temporaneo
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with tempfile.NamedTemporaryFile(mode='w', prefix= filename, suffix='.csv', delete=False) as temp_file:
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temp_file.write(ToolData)
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temp_filename = temp_file.name
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try:
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# Usa asyncio.subprocess per vero async
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process = await asyncio.create_subprocess_exec(
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'python3', 'old_script/vulinkScript.py', temp_filename,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE
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)
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stdout, stderr = await process.communicate()
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result_stdout = stdout.decode('utf-8')
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result_stderr = stderr.decode('utf-8')
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finally:
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# Pulire il file temporaneo
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os.unlink(temp_filename)
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if process.returncode != 0:
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logger.error(f"Errore nell'esecuzione del programma vulinkScript.py: {result_stderr}")
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raise Exception(f"Errore nel programma: {result_stderr}")
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else:
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logger.info("Programma vulinkScript.py eseguito con successo.")
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logger.debug(f"Stdout: {result_stdout}")
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await update_status(cfg, id, WorkflowFlags.DATA_LOADED, pool)
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await update_status(cfg, id, WorkflowFlags.DATA_ELABORATED, pool)
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await unlock(cfg, id, pool)
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await vulink_main_loader(cfg, id, pool, "vulinkScript")
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@@ -1,56 +1,17 @@
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import asyncio
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import tempfile
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import os
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from utils.csv.loaders import main_old_script_loader as sisgeo_main_loader
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from utils.database import WorkflowFlags
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from utils.database.loader_action import update_status, unlock
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from utils.csv.data_preparation import get_data
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import logging
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logger = logging.getLogger(__name__)
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async def main_loader(cfg: object, id: int, pool: object) -> None:
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"""
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Loads and processes CSV data specific to the 'sisgeo_health' type.
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This function retrieves CSV data, writes it to a temporary file,
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executes an external Python script ('sisgeoLoadScript.py') to process it,
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and then updates the workflow status in the database.
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"""
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Carica ed elabora i dati CSV specifici per il tipo 'sisgeo_health'.
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Questa funzione è un wrapper per `main_old_script_loader` e passa il nome
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dello script di elaborazione come "sisgeoLoadScript".
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Args:
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cfg (object): The configuration object.
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id (int): The ID of the CSV record to process.
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pool (object): The database connection pool.
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cfg (object): L'oggetto di configurazione.
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id (int): L'ID del record CSV da elaborare.
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pool (object): Il pool di connessioni al database.
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"""
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filename, UnitName, ToolNameID, ToolData = await get_data(cfg, id, pool)
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# Creare un file temporaneo
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with tempfile.NamedTemporaryFile(mode='w', prefix= filename, suffix='.csv', delete=False) as temp_file:
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temp_file.write(ToolData)
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temp_filename = temp_file.name
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try:
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# Usa asyncio.subprocess per vero async
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process = await asyncio.create_subprocess_exec(
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'python3', 'old_script/sisgeoLoadScript.py', temp_filename,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE
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)
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stdout, stderr = await process.communicate()
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result_stdout = stdout.decode('utf-8')
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result_stderr = stderr.decode('utf-8')
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finally:
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# Pulire il file temporaneo
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os.unlink(temp_filename)
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if process.returncode != 0:
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logger.error(f"Errore nell'esecuzione del programma sisgeoLoadScript.py: {result_stderr}")
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raise Exception(f"Errore nel programma: {result_stderr}")
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else:
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logger.info("Programma sisgeoLoadScript.py eseguito con successo.")
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logger.debug(f"Stdout: {result_stdout}")
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await update_status(cfg, id, WorkflowFlags.DATA_LOADED, pool)
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await update_status(cfg, id, WorkflowFlags.DATA_ELABORATED, pool)
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await unlock(cfg, id, pool)
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await sisgeo_main_loader(cfg, id, pool, "sisgeoLoadScript")
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@@ -1,55 +1,17 @@
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import asyncio
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import tempfile
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import os
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from utils.csv.loaders import main_old_script_loader as sisgeo_main_loader
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from utils.database import WorkflowFlags
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from utils.database.loader_action import update_status, unlock
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from utils.csv.data_preparation import get_data
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import logging
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logger = logging.getLogger(__name__)
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async def main_loader(cfg: object, id: int, pool: object) -> None:
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"""
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Loads and processes CSV data specific to the 'sisgeo_readings' type.
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This function retrieves CSV data, writes it to a temporary file,
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executes an external Python script ('sisgeoLoadScript.py') to process it,
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and then updates the workflow status in the database.
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"""
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Carica ed elabora i dati CSV specifici per il tipo 'sisgeo_readings'.
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Questa funzione è un wrapper per `main_old_script_loader` e passa il nome
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dello script di elaborazione come "sisgeoLoadScript".
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Args:
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cfg (object): The configuration object.
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id (int): The ID of the CSV record to process.
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pool (object): The database connection pool.
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cfg (object): L'oggetto di configurazione.
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id (int): L'ID del record CSV da elaborare.
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pool (object): Il pool di connessioni al database.
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"""
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filename, UnitName, ToolNameID, ToolData = await get_data(cfg, id, pool)
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# Creare un file temporaneo
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with tempfile.NamedTemporaryFile(mode='w', prefix= filename, suffix='.csv', delete=False) as temp_file:
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temp_file.write(ToolData)
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temp_filename = temp_file.name
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try:
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# Usa asyncio.subprocess per vero async
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process = await asyncio.create_subprocess_exec(
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'python3', 'old_script/sisgeoLoadScript.py', temp_filename,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE
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)
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stdout, stderr = await process.communicate()
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result_stdout = stdout.decode('utf-8')
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result_stderr = stderr.decode('utf-8')
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finally:
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# Pulire il file temporaneo
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os.unlink(temp_filename)
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if process.returncode != 0:
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logger.error(f"Errore nell'esecuzione del programma sisgeoLoadScript.py: {result_stderr}")
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raise Exception(f"Errore nel programma: {result_stderr}")
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else:
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logger.info("Programma sisgeoLoadScript.py eseguito con successo.")
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logger.debug(f"Stdout: {result_stdout}")
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await update_status(cfg, id, WorkflowFlags.DATA_LOADED, pool)
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await update_status(cfg, id, WorkflowFlags.DATA_ELABORATED, pool)
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await unlock(cfg, id, pool)
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await sisgeo_main_loader(cfg, id, pool, "sisgeoLoadScript")
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@@ -1,56 +1,17 @@
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import asyncio
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import tempfile
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import os
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from utils.csv.loaders import main_old_script_loader as sorotecPini_main_loader
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from utils.database import WorkflowFlags
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from utils.database.loader_action import update_status, unlock
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from utils.csv.data_preparation import get_data
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import logging
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logger = logging.getLogger(__name__)
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async def main_loader(cfg: object, id: int, pool: object) -> None:
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"""
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Loads and processes CSV data specific to the 'sorotecpini_co' type.
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This function retrieves CSV data, writes it to a temporary file,
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executes an external Python script ('sorotecPini.py') to process it,
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and then updates the workflow status in the database.
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"""
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Carica ed elabora i dati CSV specifici per il tipo 'sorotecpini_co'.
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Questa funzione è un wrapper per `sorotecPini_main_loader` e passa il nome
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dello script di elaborazione come "sorotecPini".
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Args:
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cfg (object): The configuration object.
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id (int): The ID of the CSV record to process.
|
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pool (object): The database connection pool.
|
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cfg (object): L'oggetto di configurazione.
|
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id (int): L'ID del record CSV da elaborare.
|
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pool (object): Il pool di connessioni al database.
|
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"""
|
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filename, UnitName, ToolNameID, ToolData = await get_data(cfg, id, pool)
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# Creare un file temporaneo
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with tempfile.NamedTemporaryFile(mode='w', prefix= filename, suffix='.csv', delete=False) as temp_file:
|
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temp_file.write(ToolData)
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temp_filename = temp_file.name
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|
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try:
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# Usa asyncio.subprocess per vero async
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process = await asyncio.create_subprocess_exec(
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'python3', 'old_script/sorotecPini.py', temp_filename,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE
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)
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stdout, stderr = await process.communicate()
|
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result_stdout = stdout.decode('utf-8')
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result_stderr = stderr.decode('utf-8')
|
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finally:
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# Pulire il file temporaneo
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||||
os.unlink(temp_filename)
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|
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if process.returncode != 0:
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logger.error(f"Errore nell'esecuzione del programma sorotecPini.py: {result_stderr}")
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raise Exception(f"Errore nel programma: {result_stderr}")
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else:
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logger.info("Programma sorotecPini.py eseguito con successo.")
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logger.debug(f"Stdout: {result_stdout}")
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await update_status(cfg, id, WorkflowFlags.DATA_LOADED, pool)
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await update_status(cfg, id, WorkflowFlags.DATA_ELABORATED, pool)
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await unlock(cfg, id, pool)
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await sorotecPini_main_loader(cfg, id, pool, "sorotecPini")
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@@ -1,56 +1,17 @@
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import asyncio
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import tempfile
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import os
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from utils.csv.loaders import main_old_script_loader as ts_pini_main_loader
|
||||
|
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from utils.database import WorkflowFlags
|
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from utils.database.loader_action import update_status, unlock
|
||||
from utils.csv.data_preparation import get_data
|
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|
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import logging
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|
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logger = logging.getLogger(__name__)
|
||||
|
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async def main_loader(cfg: object, id: int, pool: object) -> None:
|
||||
"""
|
||||
Loads and processes CSV data specific to the 'stazionetotale_integrity_monitor' type.
|
||||
|
||||
This function retrieves CSV data, writes it to a temporary file,
|
||||
executes an external Python script ('TS_PiniScript.py') to process it,
|
||||
and then updates the workflow status in the database.
|
||||
"""
|
||||
Carica ed elabora i dati CSV specifici per il tipo 'stazionetotale_integrity_monitor'.
|
||||
|
||||
Questa funzione è un wrapper per `main_old_script_loader` e passa il nome
|
||||
dello script di elaborazione come "TS_PiniScript".
|
||||
|
||||
Args:
|
||||
cfg (object): The configuration object.
|
||||
id (int): The ID of the CSV record to process.
|
||||
pool (object): The database connection pool.
|
||||
cfg (object): L'oggetto di configurazione.
|
||||
id (int): L'ID del record CSV da elaborare.
|
||||
pool (object): Il pool di connessioni al database.
|
||||
"""
|
||||
|
||||
filename, UnitName, ToolNameID, ToolData = await get_data(cfg, id, pool)
|
||||
# Creare un file temporaneo
|
||||
with tempfile.NamedTemporaryFile(mode='w', prefix= filename, suffix='.csv', delete=False) as temp_file:
|
||||
temp_file.write(ToolData)
|
||||
temp_filename = temp_file.name
|
||||
|
||||
try:
|
||||
# Usa asyncio.subprocess per vero async
|
||||
process = await asyncio.create_subprocess_exec(
|
||||
'python3', 'old_script/TS_PiniScript.py', temp_filename,
|
||||
stdout=asyncio.subprocess.PIPE,
|
||||
stderr=asyncio.subprocess.PIPE
|
||||
)
|
||||
stdout, stderr = await process.communicate()
|
||||
|
||||
result_stdout = stdout.decode('utf-8')
|
||||
result_stderr = stderr.decode('utf-8')
|
||||
|
||||
finally:
|
||||
# Pulire il file temporaneo
|
||||
os.unlink(temp_filename)
|
||||
|
||||
if process.returncode != 0:
|
||||
logger.error(f"Errore nell'esecuzione del programma TS_PiniScript.py: {result_stderr}")
|
||||
raise Exception(f"Errore nel programma: {result_stderr}")
|
||||
else:
|
||||
logger.info("Programma TS_PiniScript.py eseguito con successo.")
|
||||
logger.debug(f"Stdout: {result_stdout}")
|
||||
await update_status(cfg, id, WorkflowFlags.DATA_LOADED, pool)
|
||||
await update_status(cfg, id, WorkflowFlags.DATA_ELABORATED, pool)
|
||||
await unlock(cfg, id, pool)
|
||||
await ts_pini_main_loader(cfg, id, pool, "TS_PiniScript")
|
||||
|
||||
@@ -1,56 +1,17 @@
|
||||
import asyncio
|
||||
import tempfile
|
||||
import os
|
||||
from utils.csv.loaders import main_old_script_loader as ts_pini_main_loader
|
||||
|
||||
from utils.database import WorkflowFlags
|
||||
from utils.database.loader_action import update_status, unlock
|
||||
from utils.csv.data_preparation import get_data
|
||||
|
||||
import logging
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
async def main_loader(cfg: object, id: int, pool: object) -> None:
|
||||
|
||||
"""
|
||||
Loads and processes CSV data specific to the 'stazionetotale_messpunktepini' type.
|
||||
Carica ed elabora i dati CSV specifici per il tipo 'stazionetotale_messpunktepini'.
|
||||
|
||||
Questa funzione è un wrapper per `ts_pini_main_loader` e passa il nome
|
||||
dello script di elaborazione come "TS_PiniScript".
|
||||
|
||||
This function retrieves CSV data, writes it to a temporary file,
|
||||
executes an external Python script ('TS_PiniScript.py') to process it,
|
||||
and then updates the workflow status in the database.
|
||||
Args:
|
||||
cfg (object): The configuration object.
|
||||
id (int): The ID of the CSV record to process.
|
||||
pool (object): The database connection pool.
|
||||
cfg (object): L'oggetto di configurazione.
|
||||
id (int): L'ID del record CSV da elaborare.
|
||||
pool (object): Il pool di connessioni al database.
|
||||
"""
|
||||
filename, UnitName, ToolNameID, ToolData = await get_data(cfg, id, pool)
|
||||
# Creare un file temporaneo
|
||||
with tempfile.NamedTemporaryFile(mode='w', prefix= filename, suffix='.csv', delete=False) as temp_file:
|
||||
temp_file.write(ToolData)
|
||||
temp_filename = temp_file.name
|
||||
|
||||
try:
|
||||
# Usa asyncio.subprocess per vero async
|
||||
process = await asyncio.create_subprocess_exec(
|
||||
'python3', 'old_script/TS_PiniScript.py', temp_filename,
|
||||
stdout=asyncio.subprocess.PIPE,
|
||||
stderr=asyncio.subprocess.PIPE
|
||||
)
|
||||
stdout, stderr = await process.communicate()
|
||||
|
||||
result_stdout = stdout.decode('utf-8')
|
||||
result_stderr = stderr.decode('utf-8')
|
||||
|
||||
finally:
|
||||
# Pulire il file temporaneo
|
||||
os.unlink(temp_filename)
|
||||
|
||||
if process.returncode != 0:
|
||||
logger.error(f"Errore nell'esecuzione del programma TS_PiniScript.py: {result_stderr}")
|
||||
raise Exception(f"Errore nel programma: {result_stderr}")
|
||||
else:
|
||||
logger.info("Programma TS_PiniScript.py eseguito con successo.")
|
||||
logger.debug(f"Stdout: {result_stdout}")
|
||||
await update_status(cfg, id, WorkflowFlags.DATA_LOADED, pool)
|
||||
await update_status(cfg, id, WorkflowFlags.DATA_ELABORATED, pool)
|
||||
await unlock(cfg, id, pool)
|
||||
await ts_pini_main_loader(cfg, id, pool, "TS_PiniScript")
|
||||
|
||||
Reference in New Issue
Block a user