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[upstream candidate] Fix enrich_locations float64/str dtype TypeError #4

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[upstream candidate] Fix enrich_locations float64/str dtype TypeError #4

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13 changes: 11 additions & 2 deletions scripts/interconnectors/enrich_locations.py
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Original file line number Diff line number Diff line change
Expand Up @@ -320,10 +320,19 @@ def enrich_interconnector_locations(input_file: str, neso_register_file: str, ou
'international_latitude', 'international_longitude', 'international_location',
'location_source', 'coordinate_quality', 'location_notes'
]

numeric_columns = {
'gb_latitude', 'gb_longitude', 'international_latitude', 'international_longitude'
}

for col in new_columns:
if col not in interconnectors.columns:
interconnectors[col] = np.nan
# String columns must be object dtype: a float64 NaN column raises
# "TypeError: Invalid value for dtype 'float64'" when a string is later
# assigned under strict pandas (>=2.x).
if col in numeric_columns:
interconnectors[col] = np.nan
else:
interconnectors[col] = pd.Series(np.nan, index=interconnectors.index, dtype=object)

# Create NESO lookup by name (handle variations)
neso_lookup = {}
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