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Commit ·
07a01b5
1
Parent(s): 0c6fe9c
fix logger
Browse files- modules/utilities/logger.py +13 -13
modules/utilities/logger.py
CHANGED
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@@ -11,33 +11,31 @@ import gradio as gr
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DATASET_REPO_ID = "NextGenTech/ngt-ai-platform-logs"
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LOG_DIR = Path("data/logs")
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LOG_FILE = LOG_DIR / "access_logs.csv"
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TIME = 5 #
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LOG_DIR.mkdir(parents=True, exist_ok=True)
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if not LOG_FILE.exists():
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with open(LOG_FILE, "w", newline="", encoding="utf-8") as f:
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writer = csv.writer(f)
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writer.writerow([
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"timestamp", "session_id", "module", "action",
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"ip_address", "user_agent", "language", "input_size", "processing_time"
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])
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scheduler = CommitScheduler(
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repo_id=DATASET_REPO_ID,
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repo_type="dataset",
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folder_path=LOG_DIR,
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path_in_repo="logs",
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every=
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token=os.environ.get("
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)
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def log_interaction(request: gr.Request, module_name: str, action: str, input_data=None, execution_time=0.0):
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"""
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Registra un evento di analytics in modo invisibile.
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"""
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try:
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-
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if request:
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headers = request.headers
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ip = headers.get("x-forwarded-for", request.client.host)
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@@ -52,25 +50,27 @@ def log_interaction(request: gr.Request, module_name: str, action: str, input_da
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input_meta = "0"
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if isinstance(input_data, str):
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input_meta = f"{len(input_data)} chars"
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elif hasattr(input_data, 'shape'):
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input_meta = f"{input_data.shape}"
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elif input_data is not None:
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input_meta = "Binary/File"
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with scheduler.lock:
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with open(LOG_FILE, "a", newline="", encoding="utf-8") as f:
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writer = csv.writer(f)
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writer.writerow([
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datetime.now().isoformat(),
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session_id,
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module_name,
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action,
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ip,
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user_agent,
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language,
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input_meta,
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f"{execution_time:.4f}s"
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])
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except Exception as e:
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print(f"
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DATASET_REPO_ID = "NextGenTech/ngt-ai-platform-logs"
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LOG_DIR = Path("data/logs")
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LOG_FILE = LOG_DIR / "access_logs.csv"
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TIME = 5 #minuti di frequenza di caricamento dei log nel dataset
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LOG_DIR.mkdir(parents=True, exist_ok=True)
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if not LOG_FILE.exists() or LOG_FILE.stat().st_size == 0:
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print("🆕 Creazione nuovo file di log con intestazioni...")
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with open(LOG_FILE, "w", newline="", encoding="utf-8") as f:
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writer = csv.writer(f, lineterminator='\n')
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writer.writerow([
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"timestamp", "session_id", "module", "action",
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"ip_address", "user_agent", "language", "input_size", "processing_time"
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])
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# Configura lo Scheduler
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scheduler = CommitScheduler(
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repo_id=DATASET_REPO_ID,
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repo_type="dataset",
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folder_path=LOG_DIR,
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path_in_repo="logs",
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every=1,
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token=os.environ.get("HF_TOKEN")
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)
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def log_interaction(request: gr.Request, module_name: str, action: str, input_data=None, execution_time=0.0):
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try:
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if request:
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headers = request.headers
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ip = headers.get("x-forwarded-for", request.client.host)
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input_meta = "0"
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if isinstance(input_data, str):
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input_meta = f"{len(input_data)} chars"
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elif hasattr(input_data, 'shape'):
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input_meta = f"{input_data.shape}"
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elif input_data is not None:
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input_meta = "Binary/File"
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with scheduler.lock:
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with open(LOG_FILE, "a", newline="", encoding="utf-8") as f:
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writer = csv.writer(f, lineterminator='\n')
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writer.writerow([
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datetime.now().isoformat(),
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session_id,
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module_name,
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action,
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ip,
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user_agent,
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language,
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input_meta,
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f"{execution_time:.4f}s"
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])
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print(f"✅ LOG SCRITTO: {module_name} (Size: {LOG_FILE.stat().st_size})")
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except Exception as e:
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print(f"❌ ERRORE LOGGING: {e}")
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