Retrieval-based-Voice-Conve.../scan_i18n.py

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import ast
import glob
import json
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
# scan the directory for all .py files (recursively)
# for each file, parse the code into an AST
# for each AST, extract the i18n strings
strings = []
for filename in glob.iglob('**/*.py', recursive=True):
with open(filename, 'r') as f:
code = f.read()
if "I18nAuto" in code:
tree = ast.parse(code)
i18n_strings = extract_i18n_strings(tree)
print(filename, len(i18n_strings))
strings.extend(i18n_strings)
code_keys = set(strings)
'''
n_i18n.py
gui_v1.py 26
app.py 16
infer-web.py 147
scan_i18n.py 0
i18n.py 0
lib/train/process_ckpt.py 1
'''
print()
print('Total unique:', len(code_keys))
standard_file = "zh_CN.json"
with open(f"lib/i18n/{standard_file}", "r", encoding="utf-8") as f:
standard_data = json.load(f, object_pairs_hook=OrderedDict)
standard_keys = set(standard_data.keys())
# Define the standard file name
unused_keys = standard_keys - code_keys
print('Unused keys:', len(unused_keys))
for unused_key in unused_keys:
print('\t', unused_key)
missing_keys = code_keys - standard_keys
print('Missing keys:', len(missing_keys))
for missing_key in missing_keys:
print('\t', missing_key)