don't check against the selected row and correct comment

Signed-off-by: John Seekins <john@robot-house.us>

Author: johnseekins

file_utils.py

@@ -23,10 +23,7 @@ def export_to_file(
         writer = convert_to_dataframe(facilities_data["facilities"])
         match file_type:
             case "xlsx":
-                """
-                objects end up with dates without timezones, so trying to guess it can
-                mess up the translation to XLSX.
-                """
+                # Excel doesn't support timezones properly, so...
                 with xlsxwriter.Workbook(full_name, {"remove_timezone": True}) as wb:
                     _ = writer.write_excel(workbook=wb, include_header=True, autofit=True)
             case "csv":

utils.py

@@ -82,7 +82,6 @@ def _flatdict(d: dict, parent_key: str = "", sep: str = ".", list_sep: str = ","
             if not v:
                 items.append((new_key, ""))
             elif isinstance(v[0], dict):
-                logger.info("List of dicts: %s", v)
                 for idx, value in enumerate(v):
                     items.extend(_flatdict(value, f"{new_key}{sep}{idx}", sep=sep, list_sep=list_sep).items())
 
@@ -102,11 +101,12 @@ def convert_to_dataframe(d: dict) -> polars.DataFrame:
     """
     longest: list = list(flatdata[0].keys())
     longest_len: int = len(longest)
-    for dobj in flatdata:
+    for dobj in flatdata[1:]:
         keys = list(dobj.keys())
         if len(keys) > longest_len:
             longest = copy.deepcopy(keys)
             longest_len = len(longest)
+    logger.info("Key list is: %s", longest)
     fieldnames = [k for k in longest if k not in flatdata_filtered_keys]
     # https://docs.pola.rs/api/python/stable/reference/api/polars.from_dicts.html
     df = polars.from_dicts(flatdata, schema=fieldnames)