Spaces:
Runtime error
Runtime error
File size: 1,882 Bytes
f2b48d6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
import ast
import json
from pathlib import Path
from collections import OrderedDict
def extract_i18n_strings(node):
i18n_strings = []
if (
isinstance(node, ast.Call)
and isinstance(node.func, ast.Name)
and node.func.id == "i18n"
):
for arg in node.args:
if isinstance(arg, ast.Str):
i18n_strings.append(arg.s)
for child_node in ast.iter_child_nodes(node):
i18n_strings.extend(extract_i18n_strings(child_node))
return i18n_strings
def process_file(file_path):
with open(file_path, "r") as f:
code = f.read()
if "I18nAuto" in code:
tree = ast.parse(code)
i18n_strings = extract_i18n_strings(tree)
print(file_path, len(i18n_strings))
return i18n_strings
return []
# Use pathlib for file handling
py_files = Path(".").rglob("*.py")
# Use a set to store unique strings
code_keys = set()
for py_file in py_files:
strings = process_file(py_file)
code_keys.update(strings)
print()
print("Total unique:", len(code_keys))
standard_file = "languages/en_US.json"
with open(standard_file, "r", encoding="utf-8") as f:
standard_data = json.load(f, object_pairs_hook=OrderedDict)
standard_keys = set(standard_data.keys())
# Combine unused and missing keys sections
unused_keys = standard_keys - code_keys
missing_keys = code_keys - standard_keys
print("Unused keys:", len(unused_keys))
for unused_key in unused_keys:
print("\t", unused_key)
print("Missing keys:", len(missing_keys))
for missing_key in missing_keys:
print("\t", missing_key)
code_keys_dict = OrderedDict((s, s) for s in code_keys)
# Use context manager for writing back to the file
with open(standard_file, "w", encoding="utf-8") as f:
json.dump(code_keys_dict, f, ensure_ascii=False, indent=4, sort_keys=True)
f.write("\n")
|