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#!/usr/bin/env python
import json
import pandas
URL = "https://www.hnb.hr/documents/20182/121798/tf-pp-ds-vbb-xlsx-e-vbb.xlsx/"
def process():
datas = pandas.read_excel(URL, skiprows=3, sheet_name=0, dtype=str)
datas.fillna("", inplace=True)
registry = []
for row in datas.itertuples(index=False):
_, name, bank_code, bic = row[:4]
registry.append(
{
"country_code": "HR",
"primary": True,
"bic": str(bic).upper().replace(" ", ""),
"bank_code": str(bank_code),
"name": name,
"short_name": name,
}
)
print(f"Fetched {len(registry)} bank records")
return registry
if __name__ == "__main__":
with open("schwifty/bank_registry/generated_hr.json", "w") as fp:
json.dump(process(), fp, indent=2)
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