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https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
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add scan_i18n to detect unused and missing keys (#1058)
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scan_i18n.py
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68
scan_i18n.py
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import ast
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import glob
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import json
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from collections import OrderedDict
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def extract_i18n_strings(node):
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i18n_strings = []
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if isinstance(node, ast.Call) and isinstance(node.func, ast.Name) and node.func.id == "i18n":
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for arg in node.args:
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if isinstance(arg, ast.Str):
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i18n_strings.append(arg.s)
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for child_node in ast.iter_child_nodes(node):
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i18n_strings.extend(extract_i18n_strings(child_node))
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return i18n_strings
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# scan the directory for all .py files (recursively)
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# for each file, parse the code into an AST
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# for each AST, extract the i18n strings
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strings = []
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for filename in glob.iglob('**/*.py', recursive=True):
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with open(filename, 'r') as f:
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code = f.read()
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if "I18nAuto" in code:
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tree = ast.parse(code)
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i18n_strings = extract_i18n_strings(tree)
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print(filename, len(i18n_strings))
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strings.extend(i18n_strings)
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code_keys = set(strings)
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'''
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n_i18n.py
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gui_v1.py 26
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app.py 16
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infer-web.py 147
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scan_i18n.py 0
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i18n.py 0
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lib/train/process_ckpt.py 1
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'''
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print()
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print('Total unique:', len(code_keys))
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standard_file = "zh_CN.json"
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with open(f"lib/i18n/{standard_file}", "r", encoding="utf-8") as f:
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standard_data = json.load(f, object_pairs_hook=OrderedDict)
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standard_keys = set(standard_data.keys())
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# Define the standard file name
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unused_keys = standard_keys - code_keys
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print('Unused keys:', len(unused_keys))
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for unused_key in unused_keys:
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print('\t', unused_key)
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missing_keys = code_keys - standard_keys
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print('Missing keys:', len(missing_keys))
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for missing_key in missing_keys:
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print('\t', missing_key)
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