emmo_units.csv not found

[yoavnash]

The line from data2rdf.annotation_pipeline import AnnotationPipeline generates the following error:

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
Cell In[4], line 1
----> 1 from data2rdf.annotation_pipeline import AnnotationPipeline

File /opt/conda/lib/python3.10/site-packages/data2rdf/annotation_pipeline.py:13
     11 from data2rdf.excel_parser import ExcelParser
     12 from data2rdf.mapper import Mapper, merge_same_as_individuals
---> 13 from data2rdf.rdf_generation import RDFGenerator
     15 parser_choice = {
     16     "csv": CSVParser,
     17     "excel": ExcelParser,
     18 }
     21 class AnnotationPipeline:

File /opt/conda/lib/python3.10/site-packages/data2rdf/rdf_generation.py:7
      4 from rdflib import Graph
      6 from data2rdf.annotation_confs import annotations
----> 7 from data2rdf.emmo_lib import emmo_utils
     10 class RDFGenerator:
     12     """
     13     Transforms the generic excel sheet to RDF
     14     """

File /opt/conda/lib/python3.10/site-packages/data2rdf/emmo_lib/emmo_utils.py:6
      2 import os
      4 import pandas as pd
----> 6 unit_df = pd.read_csv(
      7     os.path.join(os.path.dirname(os.path.abspath(__file__)), "emmo_units.csv"),
      8     index_col=0,
      9 )
     10 prefix_df = pd.read_csv(
     11     os.path.join(
     12         os.path.dirname(os.path.abspath(__file__)), "emmo_unit_prefixes.csv"
     13     ),
     14     index_col=0,
     15 )
     18 def simple_unit_lookup(parsed_unit):

File /opt/conda/lib/python3.10/site-packages/pandas/util/_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs)
    209     else:
    210         kwargs[new_arg_name] = new_arg_value
--> 211 return func(*args, **kwargs)

File /opt/conda/lib/python3.10/site-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
    325 if len(args) > num_allow_args:
    326     warnings.warn(
    327         msg.format(arguments=_format_argument_list(allow_args)),
    328         FutureWarning,
    329         stacklevel=find_stack_level(),
    330     )
--> 331 return func(*args, **kwargs)

File /opt/conda/lib/python3.10/site-packages/pandas/io/parsers/readers.py:950, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
    935 kwds_defaults = _refine_defaults_read(
    936     dialect,
    937     delimiter,
   (...)
    946     defaults={"delimiter": ","},
    947 )
    948 kwds.update(kwds_defaults)
--> 950 return _read(filepath_or_buffer, kwds)

File /opt/conda/lib/python3.10/site-packages/pandas/io/parsers/readers.py:605, in _read(filepath_or_buffer, kwds)
    602 _validate_names(kwds.get("names", None))
    604 # Create the parser.
--> 605 parser = TextFileReader(filepath_or_buffer, **kwds)
    607 if chunksize or iterator:
    608     return parser

File /opt/conda/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1442, in TextFileReader.__init__(self, f, engine, **kwds)
   1439     self.options["has_index_names"] = kwds["has_index_names"]
   1441 self.handles: IOHandles | None = None
-> 1442 self._engine = self._make_engine(f, self.engine)

File /opt/conda/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1735, in TextFileReader._make_engine(self, f, engine)
   1733     if "b" not in mode:
   1734         mode += "b"
-> 1735 self.handles = get_handle(
   1736     f,
   1737     mode,
   1738     encoding=self.options.get("encoding", None),
   1739     compression=self.options.get("compression", None),
   1740     memory_map=self.options.get("memory_map", False),
   1741     is_text=is_text,
   1742     errors=self.options.get("encoding_errors", "strict"),
   1743     storage_options=self.options.get("storage_options", None),
   1744 )
   1745 assert self.handles is not None
   1746 f = self.handles.handle

File /opt/conda/lib/python3.10/site-packages/pandas/io/common.py:856, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
    851 elif isinstance(handle, str):
    852     # Check whether the filename is to be opened in binary mode.
    853     # Binary mode does not support 'encoding' and 'newline'.
    854     if ioargs.encoding and "b" not in ioargs.mode:
    855         # Encoding
--> 856         handle = open(
    857             handle,
    858             ioargs.mode,
    859             encoding=ioargs.encoding,
    860             errors=errors,
    861             newline="",
    862         )
    863     else:
    864         # Binary mode
    865         handle = open(handle, ioargs.mode)

FileNotFoundError: [Errno 2] No such file or directory: '/opt/conda/lib/python3.10/site-packages/data2rdf/emmo_lib/emmo_units.csv'

By examining the folder /opt/conda/lib/python3.10/site-packages/data2rdf/emmo_lib/, this file is indeed missing: