fix ftp

.gitignore

@@ -8,11 +8,9 @@ README.md
 prova*.*
 .codegpt
 build/
-docs/
 LoadCSVData.pl
 matlab_elab.py
 doc_carri.txt
 ase.egg-info/
-mkdocs.yml
 site/
 site.zip

.vscode/setting.json

@@ -0,0 +1,4 @@
+{
+    "flake8.args": ["--max-line-length=140"],
+    "python.linting.flake8Args": ["--config","flake8.cfg"]
+}

docs/gen_ref_pages.py

@@ -0,0 +1,91 @@
+"""Genera le pagine di riferimento per l'API."""
+
+from pathlib import Path
+import mkdocs_gen_files
+
+nav = mkdocs_gen_files.Nav()
+
+# File e directory da escludere
+EXCLUDE_PATTERNS = {
+    ".env",
+    ".env.*",
+    "__pycache__",
+    ".git",
+    ".pytest_cache",
+    ".venv",
+    "venv",
+    "node_modules",
+    "docs",  # Escludi tutta la directory docs
+    "build",
+    "dist",
+    "*.egg-info",
+    ".mypy_cache",
+    ".coverage",
+    "htmlcov"
+}
+
+def should_exclude(path: Path) -> bool:
+    """Verifica se un percorso deve essere escluso."""
+    # Escludi file .env
+    if path.name.startswith('.env'):
+        return True
+
+    # Escludi lo script stesso
+    if path.name == "gen_ref_pages.py":
+        return True
+
+    # Escludi tutta la directory docs
+    if "old_script" in path.parts:
+        return True
+
+    # Escludi tutta la directory docs
+    if "docs" in path.parts:
+        return True
+
+    # Escludi pattern comuni
+    for pattern in EXCLUDE_PATTERNS:
+        if pattern in str(path):
+            return True
+
+    return False
+
+# Cerca i file Python nella directory corrente
+for path in sorted(Path(".").rglob("*.py")):
+    # Salta i file esclusi
+    if should_exclude(path):
+        continue
+
+    # Salta i file che iniziano con un punto
+    if any(part.startswith('.') for part in path.parts):
+        continue
+
+    # Salta i file che iniziano con prova
+    if any(part.startswith('prova') for part in path.parts):
+        continue
+
+    if any(part.startswith('matlab_elab') for part in path.parts):
+        continue
+
+    module_path = path.with_suffix("")
+    doc_path = path.with_suffix(".md")
+    full_doc_path = Path("reference", doc_path)
+
+    parts = tuple(module_path.parts)
+
+    if parts[-1] == "__init__":
+        parts = parts[:-1]
+        doc_path = doc_path.with_name("index.md")
+        full_doc_path = full_doc_path.with_name("index.md")
+    elif parts[-1] == "__main__":
+        continue
+
+    nav[parts] = doc_path.as_posix()
+
+    with mkdocs_gen_files.open(full_doc_path, "w") as fd:
+        ident = ".".join(parts)
+        fd.write(f"::: {ident}")
+
+    mkdocs_gen_files.set_edit_path(full_doc_path, path)
+
+with mkdocs_gen_files.open("reference/SUMMARY.md", "w") as nav_file:
+    nav_file.writelines(nav.build_literate_nav())

docs/index.md

@@ -0,0 +1,36 @@
+# Benvenuto nella documentazione
+
+Questa è la documentazione automatica dell'applicazione Python ASE per la gestione delle file CSV ricevuti via FTP.
+
+## Funzionalità
+
+  - Ricezione di file csv via FTP e salvataggio in database.
+  - Caricamnento dei dati in database con moduli dedicati per:
+    - tipologia di centralina e sensore
+    - nome di centralina e sensore
+
+  - Esecuzione elaborazione MatLab.
+
+  - Gestione utenti FTP
+  - Caricamento massivo utenti FTP da database
+
+## Setup
+
+  - personalizzazione dei file env:
+    - env/db.ini
+    - env/ftp.ini
+    - env/load.ini
+    - env/elab.ini
+
+  - esecuzione del server FTP -> "python ftp_csv_receiver.py"
+  - esecuzione dell'orchestratore del caricamenti dei file csv -> "python load_orchestrator.py"
+  - esecuzione dell'orchestratore delle elaborazioni MatLab -> "python elab_orchestrator.py"
+
+E' possibile creare servizi systemd per gestire l'esecuzione automatica delle funzionalità.
+Viene usato il virtualenv quindi python deve essere eseguito con i dovuti setting
+
+## Installazione
+
+Installare il pacchetto ase-x.x.x-py3-none-any.whl
+
+  - pip install ase-x.x.x-py3-none-any.whl

mkdocs.yml

@@ -0,0 +1,66 @@
+site_name: Ase receiver
+site_description: Documentazione automatica della app Python ASE
+
+
+theme:
+  name: material
+  features:
+    - navigation.tabs
+    - navigation.sections
+    - toc.integrate
+    - navigation.top
+    - search.suggest
+    - search.highlight
+    - content.tabs.link
+    - content.code.annotation
+    - content.code.copy
+
+plugins:
+  - offline
+  - search
+  - mkdocstrings:
+      handlers:
+        python:
+          paths: ["."]
+          options:
+            docstring_style: google
+            show_source: true
+            show_root_heading: true
+            show_root_toc_entry: true
+            show_symbol_type_heading: true
+            show_symbol_type_toc: true
+            filters:
+              - "!^docs"  # Escludi tutto ciò che inizia con "docs"
+  - gen-files:
+      scripts:
+        - docs/gen_ref_pages.py
+  - literate-nav:
+      nav_file: SUMMARY.md
+
+nav:
+  - Home: index.md
+  - API Reference: reference/
+
+markdown_extensions:
+  - pymdownx.highlight:
+      anchor_linenums: true
+  - pymdownx.inlinehilite
+  - pymdownx.snippets
+  - pymdownx.superfences
+  - pymdownx.tabbed:
+      alternate_style: true
+  - admonition
+  - pymdownx.details
+  - attr_list
+  - md_in_html
+
+# Escludi file dalla build
+exclude_docs: |
+  .env*
+  __pycache__/
+  .git/
+  .pytest_cache/
+  .venv/
+  venv/
+  test/
+  .vscode/

src/elab_orchestrator.py

@@ -10,7 +10,7 @@ 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.database.action_query import get_tool_info, check_flag_elab
 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
@@ -47,61 +47,65 @@ async def worker(worker_id: int, cfg: object, pool: object) -> None:
     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
-                            )
+            if not await check_flag_elab(pool):
+                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()
+                                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)
 
-                            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)
-
-
+                                    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(stdout.decode().strip())
+                                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 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)
+                                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)
             else:
-                logger.info("Nessun record disponibile")
+                logger.info("Flag fermo elaborazione attivato")
                 await asyncio.sleep(NO_RECORD_SLEEP)
 
         except Exception as e: # pylint: disable=broad-except

src/ftp_csv_receiver.py

@@ -26,7 +26,7 @@ logger = logging.getLogger(__name__)
 class DummySha256Authorizer(DummyAuthorizer):
     """Custom authorizer that uses SHA256 for password hashing and manages users from a database."""
 
-    def __init__(self: object, cfg: object) -> None:
+    def __init__(self: object, cfg: dict) -> None:
         """Initializes the authorizer, adds the admin user, and loads users from the database.
 
         Args:
@@ -47,13 +47,14 @@ class DummySha256Authorizer(DummyAuthorizer):
         )
 
         for ftpuser, user_hash, virtpath, perm in cur.fetchall():
-            self.add_user(ftpuser, user_hash, virtpath, perm)
             # Create the user's directory if it does not exist.
             try:
                 Path(cfg.virtpath + ftpuser).mkdir(parents=True, exist_ok=True)
+                self.add_user(ftpuser, user_hash, virtpath, perm)
             except Exception as e: # pylint: disable=broad-except
                 self.responde(f"551 Error in create virtual user path: {e}")
             
+
     def validate_authentication(
         self: object, username: str, password: str, handler: object
     ) -> None:

src/load_orchestrator.py

@@ -23,7 +23,7 @@ CSV_PROCESSING_DELAY = 0.2
 NO_RECORD_SLEEP = 60
 
 
-async def worker(worker_id: int, cfg: object, pool: object) -> None:
+async def worker(worker_id: int, cfg: dict, pool: object) -> None:
     """Esegue il ciclo di lavoro per l'elaborazione dei file CSV.
 
     Il worker preleva un record CSV dal database, ne elabora il contenuto
@@ -31,7 +31,7 @@ async def worker(worker_id: int, cfg: object, pool: object) -> None:
 
     Args:
         worker_id (int): L'ID univoco del worker.
-        cfg (object): L'oggetto di configurazione.
+        cfg (dict): L'oggetto di configurazione.
         pool (object): Il pool di connessioni al database.
     """
     # Imposta il context per questo worker
@@ -42,7 +42,6 @@ async def worker(worker_id: int, cfg: object, pool: object) -> None:
     while True:
         try:
             logger.info("Inizio elaborazione")
-
             record = await get_next_csv_atomic(
                 pool,
                 cfg.dbrectable,

src/send_orchestrator.py

@@ -28,7 +28,7 @@ ELAB_PROCESSING_DELAY = 0.2
 NO_RECORD_SLEEP = 30
 
 
-async def worker(worker_id: int, cfg: object, pool: object) -> None:
+async def worker(worker_id: int, cfg: dict, pool: object) -> None:
     """Esegue il ciclo di lavoro per l'invio dei dati.
 
     Il worker preleva un record dal database che indica dati pronti per
@@ -37,7 +37,7 @@ async def worker(worker_id: int, cfg: object, pool: object) -> None:
 
     Args:
         worker_id (int): L'ID univoco del worker.
-        cfg (object): L'oggetto di configurazione.
+        cfg (dict): L'oggetto di configurazione.
         pool (object): Il pool di connessioni al database.
     """
 

src/utils/connect/file_management.py

@@ -1,10 +1,10 @@
 import os
+from datetime import datetime
 import logging
 import re
 import mysql.connector
 
 from utils.database.connection import connetti_db
-
 from utils.csv.parser import extract_value
 
 logger = logging.getLogger(__name__)
@@ -27,8 +27,11 @@ def on_file_received(self: object, file: str) -> None:
         cfg = self.cfg
         path, filenameExt = os.path.split(file)
         filename, fileExtension = os.path.splitext(filenameExt)
+        timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
+        new_filename = f"{filename}_{timestamp}{fileExtension}"
+        os.rename(file, f"{path}/{new_filename}")
         if (fileExtension.upper() in (cfg.fileext)):
-            with open(file, 'r', encoding='utf-8', errors='ignore') as csvfile:
+            with open(f"{path}/{new_filename}", 'r', encoding='utf-8', errors='ignore') as csvfile:
                 lines = csvfile.readlines()
 
                 unit_name = extract_value(cfg.units_name, filename, str(lines[0:10]))
@@ -74,13 +77,15 @@ def on_file_received(self: object, file: str) -> None:
                         tool_info = f'{{"Stazione": "{cfg.ts_pini_path_match.get(stazione)}"}}'
 
                 try:
-                    cur.execute(f"INSERT INTO {cfg.dbname}.{cfg.dbrectable} (username, filename, unit_name, unit_type, tool_name, tool_type, tool_data, tool_info) VALUES (%s,%s, %s, %s, %s, %s, %s, %s)", (self.username, filename, unit_name.upper(), unit_type.upper(), tool_name.upper(), tool_type.upper(), ''.join(lines), tool_info))
+                    cur.execute(f"INSERT INTO {cfg.dbname}.{cfg.dbrectable} (username, filename, unit_name, unit_type, tool_name, tool_type, tool_data, tool_info) VALUES (%s,%s, %s, %s, %s, %s, %s, %s)", (self.username, new_filename, unit_name.upper(), unit_type.upper(), tool_name.upper(), tool_type.upper(), ''.join(lines), tool_info))
                     conn.commit()
                     conn.close()
 
                 except Exception as e:
-                    logger.error(f'File {file} not loaded. Held in user path.')
+                    logger.error(f'File {new_filename} not loaded. Held in user path.')
                     logger.error(f'{e}')
+                """
                 else:
                     os.remove(file)
-                    logger.info(f'File {file} loaded: removed.')
+                    logger.info(f'File {new_filename} removed.')
+                """

src/utils/database/action_query.py

@@ -133,3 +133,15 @@ async def get_elab_timestamp(id_recv: int, pool: object) -> float:
             except Exception as e:
                 logger.error(f"id {id_recv} - Errore nella query timestamp elaborazione: {e}")
                 return None
+            
+async def check_flag_elab(pool: object) -> None:
+    async with pool.acquire() as conn:
+        async with conn.cursor() as cur:
+            try:
+                await cur.execute("SELECT stop_elab from admin_panel")
+                results = await cur.fetchone()
+                return results[0]
+
+            except Exception as e:
+                logger.error(f"Errore nella query check flag stop elaborazioni: {e}")
+                return None