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Retrieval-based-Voice-Conve.../lib/i18n/scan_i18n.py
github-actions[bot] 473c20c264
Format code (#1096)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2023-08-27 01:02:39 +08:00

77 lines
1.9 KiB
Python

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)
code_keys_dict = OrderedDict()
for s in strings:
code_keys_dict[s] = s
# write back
with open(f"lib/i18n/{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")