FIX-#7102: Remove enable_api_only mode in modin logging (#7194)

Signed-off-by: arunjose696 <arunjose696@gmail.com>

docs/usage_guide/advanced_usage/modin_logging.rst

@@ -3,8 +3,7 @@ Modin Logging
 
 Modin logging offers users greater insight into their queries by logging internal Modin API calls, partition metadata,
 and profiling system memory. When Modin logging is enabled (default disabled), log files are written to a local ``.modin`` directory at the same
-directory level as the notebook/script used to run Modin. It is possible to configure whether to log system memory and additional metadata
-in addition to Modin API calls (see the usage examples below).
+directory level as the notebook/script used to run Modin.
 
 The logs generated by Modin Logging will be written to a ``.modin/logs/job_<uuid>`` directory, uniquely named after the job uuid.
 The logs that contain the Modin API stack traces are named ``trace.log``. The logs that contain the memory utilization metrics are
@@ -20,17 +19,7 @@ such environments. To resolve this, please run Jupyterlab or other similar servi
 Usage examples
 --------------
 
-In the example below, we enable logging for internal Modin API calls.
-
-.. code-block:: python
-
-  import modin.pandas as pd
-  from modin.config import LogMode
-  LogMode.enable_api_only()
-
-  # User code goes here
-
-In the next example, we add logging for not only internal Modin API calls, but also for partition metadata and memory profiling.
+In the example below, we enable logging for internal Modin API calls, partition metadata and memory profiling.
 We can set the granularity (in seconds) at which the system memory utilization is logged using ``LogMemoryInterval``.
 We can also set the maximum size of the logs (in MBs) using ``LogFileSize``.
 

modin/config/envvars.py

@@ -501,7 +501,7 @@ class LogMode(EnvironmentVariable, type=ExactStr):
     """Set ``LogMode`` value if users want to opt-in."""
 
     varname = "MODIN_LOG_MODE"
-    choices = ("enable", "disable", "enable_api_only")
+    choices = ("enable", "disable")
     default = "disable"
 
     @classmethod
@@ -514,15 +514,6 @@ def disable(cls) -> None:
         """Disable logging feature."""
         cls.put("disable")
 
-    @classmethod
-    def enable_api_only(cls) -> None:
-        """Enable API level logging."""
-        warnings.warn(
-            "'enable_api_only' value for LogMode is deprecated and"
-            + "will be removed in a future version."
-        )
-        cls.put("enable_api_only")
-
 
 class LogMemoryInterval(EnvironmentVariable, type=int):
     """Interval (in seconds) to profile memory utilization for logging."""

modin/logging/config.py

@@ -169,7 +169,7 @@ def configure_logging() -> None:
         "modin.logger.default",
         job_id,
         "trace",
-        LogLevel.INFO if LogMode.get() == "enable_api_only" else LogLevel.DEBUG,
+        LogLevel.INFO,
     )
 
     logger.info(f"OS Version: {platform.platform()}")
@@ -181,20 +181,17 @@ def configure_logging() -> None:
     logger.info(f"Physical Cores: {num_physical_cores}")
     logger.info(f"Total Cores: {num_total_cores}")
 
-    if LogMode.get() != "enable_api_only":
-        mem_sleep = LogMemoryInterval.get()
-        mem_logger = _create_logger(
-            "modin_memory.logger", job_id, "memory", LogLevel.DEBUG
-        )
+    mem_sleep = LogMemoryInterval.get()
+    mem_logger = _create_logger("modin_memory.logger", job_id, "memory", LogLevel.DEBUG)
 
-        svmem = psutil.virtual_memory()
-        mem_logger.info(f"Memory Total: {bytes_int_to_str(svmem.total)}")
-        mem_logger.info(f"Memory Available: {bytes_int_to_str(svmem.available)}")
-        mem_logger.info(f"Memory Used: {bytes_int_to_str(svmem.used)}")
-        mem = threading.Thread(
-            target=memory_thread, args=[mem_logger, mem_sleep], daemon=True
-        )
-        mem.start()
+    svmem = psutil.virtual_memory()
+    mem_logger.info(f"Memory Total: {bytes_int_to_str(svmem.total)}")
+    mem_logger.info(f"Memory Available: {bytes_int_to_str(svmem.available)}")
+    mem_logger.info(f"Memory Used: {bytes_int_to_str(svmem.used)}")
+    mem = threading.Thread(
+        target=memory_thread, args=[mem_logger, mem_sleep], daemon=True
+    )
+    mem.start()
 
     _create_logger("modin.logger.errors", job_id, "error", LogLevel.INFO)