fix

utils/csv/data_preparation.py

@@ -17,27 +17,6 @@ async def get_data(cfg: object, id: int, pool) -> tuple:
             return unit_name, tool_name, tool_data
 
 async def make_pipe_sep_matrix(cfg: object, id: int, pool) -> list:
-    """
-    Processes raw tool data and transforms it into a matrix format for database insertion.
-
-    This function retrieves raw tool data using `get_data`, splits it into individual
-    readings (rows), and further parses each reading into individual values.  It
-    handles data where multiple nodes might be reporting values within a single
-    reading.  The resulting matrix is a list of lists, where each inner list
-    represents a row of data ready for insertion into the database.  Missing
-    values are padded with `None` to ensure consistent row length.
-
-    Args:
-        cfg: A configuration object containing database connection parameters
-             and table names.
-        id: The ID of the tool record to process.
-
-    Returns:
-        A list of lists (matrix) representing the processed data.  Each inner list
-        contains the following elements: UnitName, ToolNameID, NodeNum, EventDate,
-        EventTime, BatLevel, Temperature, followed by up to 16 additional
-        measurement values (Val0 to ValF), padded with None if necessary.
-    """
     UnitName, ToolNameID, ToolData = await get_data(cfg, id, pool)
     righe = ToolData.splitlines()
     matrice_valori = []
@@ -60,27 +39,6 @@ async def make_pipe_sep_matrix(cfg: object, id: int, pool) -> list:
     return matrice_valori
 
 async def make_ain_din_matrix(cfg: object, id: int, pool) -> list:
-    """
-    Processes raw location (LOC) tool data and transforms it into a matrix format for database insertion.
-
-    This function retrieves raw LOC tool data using `get_data`, splits it into
-    individual readings (rows), and parses each reading into individual values
-    specific to the LOC data format (timestamp, battery level, temperature, and
-    four additional values: ain1, ain2, din1, din2).  The resulting matrix is a list
-    of lists, where each inner list represents a row of data ready for insertion
-    into the database.  Missing values are padded with `None` to ensure consistent
-    row length.  It uses a regular expression to filter lines that match the
-    expected LOC data format.
-
-    Args:
-        cfg: A configuration object containing database connection parameters
-             and table names.
-        id: The ID of the tool record to process.
-
-    Returns:
-        A list of lists (matrix) representing the processed LOC data.  Each inner
-        list contains data fields similar to `make_matrix`, adjusted for LOC data.
-    """
     UnitName, ToolNameID, ToolData = await get_data(cfg, id, pool)
     node_channels, node_types, node_ains, node_dins = get_nodes_type(cfg, ToolNameID, UnitName)
     righe = ToolData.splitlines()