添加log_to_file的开关

benchmark/halumem/quickstart.md

@@ -14,17 +14,30 @@ conda activate ./reme-env
 pip install .
 ```
 
-### 2. Clone the Repository
+### 2. Download the Dataset
 ```bash
 cd ./benchmark/halumem
-git clone https://github.com/MemTensor/HaluMem.git
+mkdir -p data
+curl -L "https://huggingface.co/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Medium.jsonl?download=true" -o data/HaluMem-Medium.jsonl
+curl -L "https://huggingface.co/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Long.jsonl?download=true" -o data/HaluMem-Long.jsonl
+```
+
+Dataset page:
+https://huggingface.co/datasets/IAAR-Shanghai/HaluMem/tree/main
+
+If the official source is slow or inaccessible in mainland China, you can use a mirror:
+```bash
+cd ./benchmark/halumem
+mkdir -p data
+curl -L "https://hf-mirror.com/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Medium.jsonl?download=true" -o data/HaluMem-Medium.jsonl
+curl -L "https://hf-mirror.com/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Long.jsonl?download=true" -o data/HaluMem-Long.jsonl
 ```
 
 ### 3. Run Experiments
 Launch the ReMe service to enable memory library functionality:
 ```bash
 clear && python benchmark/halumem/eval_reme.py \
-    --data_path benchmark/halumem/HaluMem/data/HaluMem-Medium.jsonl \
+    --data_path benchmark/halumem/data/HaluMem-Medium.jsonl \
     --reme_model_name gpt-4o-mini-2024-07-18 \
     --eval_model_name gpt-4o-mini-2024-07-18 \
     --batch_size 40 \

reme/core/application.py

@@ -44,6 +44,7 @@ def __init__(
         config_path: str | None = None,
         enable_logo: bool = True,
         log_to_console: bool = True,
+        log_to_file: bool = True,
         enable_load_env: bool = True,
         parser: type[PydanticConfigParser] | None = None,
         default_as_llm_config: dict | None = None,
@@ -73,6 +74,7 @@ def __init__(
             config_path=config_path,
             enable_logo=enable_logo,
             log_to_console=log_to_console,
+            log_to_file=log_to_file,
             default_as_llm_config=default_as_llm_config,
             default_as_llm_formatter_config=default_as_llm_formatter_config,
             default_llm_config=default_llm_config,
@@ -144,7 +146,10 @@ async def start(self):
             logger.warning("Application has already started.")
             return self
 
-        init_logger(log_to_console=self.service_config.log_to_console)
+        init_logger(
+            log_to_console=self.service_config.log_to_console,
+            log_to_file=self.service_config.log_to_file,
+        )
         logger.info(f"Init ReMe with config: {self.service_config.model_dump_json()}")
 
         working_path = Path(self.service_config.working_dir)

reme/core/schema/service_config.py

@@ -122,6 +122,7 @@ class ServiceConfig(BasicConfig):
     )
     ray_max_workers: int = Field(default=-1)
     log_to_console: bool = Field(default=True)
+    log_to_file: bool = Field(default=True)
     disabled_flows: list[str] = Field(default_factory=list)
     enabled_flows: list[str] = Field(default_factory=list)
 

reme/core/service_context.py

@@ -34,6 +34,7 @@ def __init__(
         config_path: str | None = None,
         enable_logo: bool = True,
         log_to_console: bool = True,
+        log_to_file: bool = True,
         default_as_llm_config: dict | None = None,
         default_as_llm_formatter_config: dict | None = None,
         default_as_token_counter_config: dict | None = None,
@@ -79,6 +80,7 @@ def __init__(
                 {
                     "enable_logo": enable_logo,
                     "log_to_console": log_to_console,
+                    "log_to_file": log_to_file,
                     "working_dir": working_dir,
                 },
             )

reme/core/utils/logger_utils.py

@@ -5,13 +5,19 @@
 from datetime import datetime
 
 
-def init_logger(log_dir: str = "logs", level: str = "INFO", log_to_console: bool = True) -> None:
+def init_logger(
+    log_dir: str = "logs",
+    level: str = "INFO",
+    log_to_console: bool = True,
+    log_to_file: bool = True,
+) -> None:
     """Initialize the logger with both file and console handlers.
 
     Args:
         log_dir: Directory path for log files
         level: Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
         log_to_console: Whether to print logs to console/screen
+        log_to_file: Whether to persist logs to files under log_dir
     """
     from loguru import logger
 
@@ -28,25 +34,26 @@ def init_logger(log_dir: str = "logs", level: str = "INFO", log_to_console: bool
         )
 
     # Try to configure file-based logging (skip if permission denied)
-    try:
-        # Ensure the logging directory exists
-        os.makedirs(log_dir, exist_ok=True)
-
-        # Generate filename based on the current timestamp
-        # Use dashes instead of colons for Windows compatibility
-        current_ts = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
-        log_filename = f"{current_ts}.log"
-        log_filepath = os.path.join(log_dir, log_filename)
-
-        # Configure file-based logging with rotation and compression
-        logger.add(
-            log_filepath,
-            level=level,
-            rotation="00:00",
-            retention="7 days",
-            compression="zip",
-            encoding="utf-8",
-            format="{time:YYYY-MM-DD HH:mm:ss} | {level} | {file}:{line} | {function} | {message}",
-        )
-    except Exception as e:
-        logger.error(f"Error configuring file logging: {e}")
+    if log_to_file:
+        try:
+            # Ensure the logging directory exists
+            os.makedirs(log_dir, exist_ok=True)
+
+            # Generate filename based on the current timestamp
+            # Use dashes instead of colons for Windows compatibility
+            current_ts = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
+            log_filename = f"{current_ts}.log"
+            log_filepath = os.path.join(log_dir, log_filename)
+
+            # Configure file-based logging with rotation and compression
+            logger.add(
+                log_filepath,
+                level=level,
+                rotation="00:00",
+                retention="7 days",
+                compression="zip",
+                encoding="utf-8",
+                format="{time:YYYY-MM-DD HH:mm:ss} | {level} | {file}:{line} | {function} | {message}",
+            )
+        except Exception as e:
+            logger.error(f"Error configuring file logging: {e}")

reme/reme.py

@@ -46,6 +46,7 @@ def __init__(
         config_path: str = "vector",
         enable_logo: bool = True,
         log_to_console: bool = True,
+        log_to_file: bool = True,
         default_llm_config: dict | None = None,
         default_embedding_model_config: dict | None = None,
         default_vector_store_config: dict | None = None,
@@ -81,6 +82,7 @@ def __init__(
             config_path=config_path,
             enable_logo=enable_logo,
             log_to_console=log_to_console,
+            log_to_file=log_to_file,
             parser=ReMeConfigParser,
             default_llm_config=default_llm_config,
             default_embedding_model_config=default_embedding_model_config,