fabiocaccamo /
python-codicefiscale
| Conditions | 6 |
| Total Lines | 58 |
| Code Lines | 45 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
| 1 | import fsutil |
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| 6 | def _update_countries_data(): |
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| 7 | # https://www.anagrafenazionale.interno.it/il-progetto/strumenti-di-lavoro/tabelle-decodifica/ |
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| 8 | data_url = "https://www.anagrafenazionale.interno.it/wp-content/uploads/2021/03/tabella_2_statiesteri.xlsx" |
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| 9 | data = benedict.from_xls(data_url) |
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| 10 | data.standardize() |
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| 11 | # print(data.dump()) |
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| 12 | |||
| 13 | def map_item(item): |
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| 14 | if not item: |
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| 15 | return None |
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| 16 | code = item.get_str("codat").upper() |
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| 17 | if not code: |
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| 18 | return None |
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| 19 | assert len(code) == 4, f"Invalid code: '{code}'" |
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| 20 | |||
| 21 | name = item.get_str("denominazione").title() |
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| 22 | assert name != "", f"Invalid name: '{name}'" |
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| 23 | name_alt = item.get_str("denominazioneistat").title() |
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| 24 | name_alt_en = item.get_str("denominazioneistat_en").title() |
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| 25 | name_slugs = sorted( |
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| 26 | set( |
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| 27 | filter( |
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| 28 | bool, |
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| 29 | [ |
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| 30 | slugify(name), |
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| 31 | slugify(name_alt), |
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| 32 | slugify(name_alt_en), |
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| 33 | ], |
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| 34 | ) |
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| 35 | ) |
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| 36 | ) |
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| 37 | province = "EE" |
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| 38 | |||
| 39 | date_created = item.get_datetime("datainiziovalidita") |
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| 40 | date_deleted = item.get_datetime("datafinevalidita") |
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| 41 | date_deleted_raw = item.get_str("datafinevalidita") |
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| 42 | if "9999" in date_deleted_raw: |
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| 43 | date_deleted = "" |
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| 44 | |||
| 45 | return { |
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| 46 | "active": False if date_deleted else True, |
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| 47 | "code": code, |
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| 48 | "date_created": date_created, |
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| 49 | "date_deleted": date_deleted, |
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| 50 | "name": name, |
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| 51 | "name_alt": name_alt, |
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| 52 | "name_alt_en": name_alt_en, |
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| 53 | "name_slugs": name_slugs, |
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| 54 | "province": province, |
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| 55 | } |
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| 56 | |||
| 57 | output_data = list( |
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| 58 | filter(bool, [map_item(benedict(item)) for item in data["values"]]) |
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| 59 | ) |
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| 60 | output_data = sorted(output_data, key=lambda item: item["name"]) |
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| 61 | output_path = "../codicefiscale/data/countries.json" |
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| 62 | output_abspath = fsutil.join_path(__file__, output_path) |
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| 63 | fsutil.write_file_json(output_abspath, output_data, indent=4, sort_keys=True) |
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| 64 | |||
| 138 |
