remove functions and modules that are now unused because of migration to using xarray datatree

Author: danielfromearth

concatenator/attribute_handling.py

@@ -3,99 +3,18 @@
 """
 
 import json
-import re
 from datetime import datetime, timezone
 
 import importlib_metadata
 import netCDF4
 
-import concatenator
-
 # Values needed for history_json attribute
 HISTORY_JSON_SCHEMA = "https://harmony.earthdata.nasa.gov/schemas/history/0.1.0/history-v0.1.0.json"
 PROGRAM = "stitchee"
 PROGRAM_REF = "https://cmr.earthdata.nasa.gov:443/search/concepts/S2940253910-LARC_CLOUD"
 VERSION = importlib_metadata.distribution("stitchee").version
 
 
-def regroup_coordinate_attribute(attribute_string: str) -> str:
-    """
-    Examples
-    --------
-    >>> coord_att = "__Time_and_Position__time  __Time_and_Position__instrument_fov_latitude  __Time_and_Position__instrument_fov_longitude"
-    >>> flatten_string_with_groups(coord_att)
-        Time_and_Position/time  Time_and_Position/instrument_fov_latitude  Time_and_Position/instrument_fov_longitude
-
-    Parameters
-    ----------
-    attribute_string : str
-
-    Returns
-    -------
-    str
-    """
-    # Use the separator that's in the attribute string only if all separators in the string are the same.
-    # Otherwise, we will use our own default separator.
-    whitespaces = re.findall(r"\s+", attribute_string)
-    if len(set(whitespaces)) <= 1:
-        new_sep = whitespaces[0]
-    else:
-        new_sep = concatenator.coord_delim
-
-    return new_sep.join(
-        "/".join(c.split(concatenator.group_delim))[1:]
-        for c in attribute_string.split()  # split on any whitespace
-    )
-
-
-def flatten_coordinate_attribute_paths(
-    dataset: netCDF4.Dataset, var: netCDF4.Variable, variable_name: str
-) -> None:
-    """Flatten the paths of variables referenced in the 'coordinates' attribute."""
-    if "coordinates" in var.ncattrs():
-        coord_att = var.getncattr("coordinates")
-
-        new_coord_att = flatten_string_with_groups(coord_att)
-
-        dataset.variables[variable_name].setncattr("coordinates", new_coord_att)
-
-
-def flatten_string_with_groups(str_with_groups: str) -> str:
-    """Determine separator and flatten string specifying group membership via "/".
-
-    Applies to variable paths or attributes, even for the root level.
-
-    Examples
-    --------
-    >>> coord_att = "Time_and_Position/time  Time_and_Position/instrument_fov_latitude  Time_and_Position/instrument_fov_longitude"
-    >>> flatten_string_with_groups(coord_att)
-        __Time_and_Position__time  __Time_and_Position__instrument_fov_latitude  __Time_and_Position__instrument_fov_longitude
-
-    Parameters
-    ----------
-    str_with_groups : str
-
-    Returns
-    -------
-    str
-    """
-    # Use the separator that's in the attribute string only if all separators in the string are the same.
-    # Otherwise, we will use our own default separator.
-    whitespaces = re.findall(r"\s+", str_with_groups)
-    if len(set(whitespaces)) == 0:
-        new_sep = ""
-    elif len(set(whitespaces)) == 1:
-        new_sep = whitespaces[0]
-    else:
-        new_sep = concatenator.coord_delim
-
-    # A new string is constructed.
-    return new_sep.join(
-        f"{concatenator.group_delim}{c.replace('/', concatenator.group_delim)}"
-        for c in str_with_groups.split()  # split on any whitespace
-    )
-
-
 def retrieve_history(dataset: netCDF4.Dataset) -> dict:
     """
     Retrieve history_json field from NetCDF dataset, if it exists