Copies for all (#1809)
* initial script * copies for all! * revert intl files * mistaken en to vi translation * improve translation * add vi translation, fix trnaalste script to respect existing metdata * revert translation files * fix translation to only add more without changing too much existing translations * revert en, es, and vi for further testing * remove sorting metakeys * generated * build: translations --------- Co-authored-by: WilsonLe <leanhminh2907@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>pull/1688/head
ggurdin
8 months ago
committed by
GitHub
parent
cf1a420415
commit
b7ae77ebd5
@ -0,0 +1,276 @@
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"""
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Prerequiresite:
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- Ensure you have an up-to-date `needed-translations.txt` file should you wish to translate only the missing translation keys. To generate an updated `needed-translations.txt` file, run `flutter gen-l10n`
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- Ensure you have python `openai` package installed. If not, run `pip install openai`.
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- Ensure you have an OpenAI API key set in your environment variable `OPENAI_API_KEY`. If not, you can set it by running `export OPENAI_API_KEY=your-api-key` on MacOS/Linux.
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Usage:
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python scripts/translate.py
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"""
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def load_needed_translations() -> dict[str, list[str]]:
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import json
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from pathlib import Path
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path_to_needed_translations = (
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Path(__file__).parent.parent / "needed-translations.txt"
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)
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if not path_to_needed_translations.exists():
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raise FileNotFoundError(
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f"File not found: {path_to_needed_translations}. Please run `flutter gen-l10n` to generate the file."
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)
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with open(path_to_needed_translations) as f:
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needed_translations = json.loads(f.read())
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return needed_translations
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def load_translations(lang_code: str) -> dict[str, str]:
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import json
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from pathlib import Path
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path_to_translations = (
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Path(__file__).parent.parent / "assets" / "l10n" / f"intl_{lang_code}.arb"
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)
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if not path_to_translations.exists():
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raise FileNotFoundError(
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f"File not found: {path_to_translations}. Please run `flutter gen-l10n` to generate the file."
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)
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with open(path_to_translations) as f:
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translations = json.loads(f.read())
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return translations
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def save_translations(lang_code: str, translations: dict[str, str]) -> None:
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import json
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from collections import OrderedDict
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from datetime import datetime
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from pathlib import Path
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path_to_translations = (
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Path(__file__).parent.parent / "assets" / "l10n" / f"intl_{lang_code}.arb"
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)
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translations["@@locale"] = lang_code
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translations["@@last_modified"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")
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# Load existing data to preserve order if exists.
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if path_to_translations.exists():
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with open(path_to_translations, "r") as f:
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try:
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existing_data = json.load(f, object_pairs_hook=OrderedDict)
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except json.JSONDecodeError:
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existing_data = OrderedDict()
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else:
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existing_data = OrderedDict()
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# Update existing keys and append new keys (preserving existing order).
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for key, value in translations.items():
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if key in existing_data:
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existing_data[key] = value # update value; order remains unchanged
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else:
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existing_data[key] = value # new key appended at the end
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with open(path_to_translations, "w") as f:
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f.write(json.dumps(existing_data, indent=2, ensure_ascii=False))
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def reconcile_metadata(lang_code: str, translation_keys: list[str]) -> None:
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"""
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For each translation key, update its metadata (the key prefixed with '@') by merging
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any existing metadata with computed metadata. For basic translations, if no metadata exists,
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add it; otherwise, leave it as is.
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"""
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translations = load_translations(lang_code)
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for key in translation_keys:
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translation = translations[key]
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meta_key = f"@{key}"
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existing_meta = translations.get(meta_key, {})
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assert isinstance(translation, str)
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# Case 1: Basic translations, no placeholders.
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if "{" not in translation:
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if not existing_meta:
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translations[meta_key] = {"type": "text", "placeholders": {}}
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# if metadata exists, leave it as is.
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# Case 2: Translations with placeholders (no pluralization).
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elif (
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"{" in translation
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and "plural," not in translation
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and "other{" not in translation
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):
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# Compute placeholders.
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computed_placeholders = {}
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for placeholder in translation.split("{")[1:]:
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placeholder_name = placeholder.split("}")[0]
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computed_placeholders[placeholder_name] = {}
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if existing_meta:
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# Merge computed placeholders into existing metadata.
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existing_meta.setdefault("type", "text")
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existing_meta["placeholders"] = computed_placeholders
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translations[meta_key] = existing_meta
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else:
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translations[meta_key] = {
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"type": "text",
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"placeholders": computed_placeholders,
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}
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# Case 3: Translations with pluralization.
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elif (
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"{" in translation and "plural," in translation and "other{" in translation
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):
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# Extract placeholders appearing before the plural part.
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prefix = translation.split("plural,")[0].split("{")[1]
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placeholders_list = [
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p.strip() for p in prefix.split(",") if p.strip() != ""
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]
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computed_placeholders = {ph: {} for ph in placeholders_list}
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if existing_meta:
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existing_meta.setdefault("type", "text")
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existing_meta["placeholders"] = computed_placeholders
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translations[meta_key] = existing_meta
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else:
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translations[meta_key] = {
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"type": "text",
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"placeholders": computed_placeholders,
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}
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save_translations(lang_code, translations)
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def translate(lang_code: str, lang_display_name: str) -> None:
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"""
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Translate the needed translations from English to the target language.
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"""
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import json
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import random
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from openai import OpenAI
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needed_translations = load_needed_translations()
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needed_translations = needed_translations.get(lang_code, [])
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english_translations_dict = load_translations("en")
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vietnamese_translations_dict = load_translations("vi")
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# there are 3 types of translation keys: basic, with placeholders, with pluralization. Read more: TRANSLATORS_GUIDE.md
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basic_translation_keys = [
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k
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for k in english_translations_dict.keys()
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if not k.startswith("@") and not english_translations_dict[k].startswith("{")
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]
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example_basic_translation_keys = (
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random.sample(basic_translation_keys, 2)
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if len(basic_translation_keys) > 2
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else basic_translation_keys
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)
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placeholder_translation_keys = [
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k
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for k in english_translations_dict.keys()
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if not k.startswith("@")
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and "{" in english_translations_dict[k]
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and "plural," not in english_translations_dict[k]
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and "other{" not in english_translations_dict[k]
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]
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example_placeholder_translation_keys = (
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random.sample(placeholder_translation_keys, 2)
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if len(placeholder_translation_keys) > 2
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else placeholder_translation_keys
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)
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plural_translation_keys = [
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k
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for k in english_translations_dict.keys()
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if not k.startswith("@")
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and "{" in english_translations_dict[k]
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and "plural," in english_translations_dict[k]
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and "other{" in english_translations_dict[k]
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]
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example_plural_translation_keys = (
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random.sample(plural_translation_keys, 2)
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if len(plural_translation_keys) > 2
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else plural_translation_keys
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)
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# build example translations
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example_english_translations = {}
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for key in example_basic_translation_keys:
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example_english_translations[key] = english_translations_dict[key]
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for key in example_placeholder_translation_keys:
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example_english_translations[key] = english_translations_dict[key]
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for key in example_plural_translation_keys:
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example_english_translations[key] = english_translations_dict[key]
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example_vietnamese_translations = {}
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for key in example_basic_translation_keys:
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example_vietnamese_translations[key] = vietnamese_translations_dict[key]
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for key in example_placeholder_translation_keys:
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example_vietnamese_translations[key] = vietnamese_translations_dict[key]
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for key in example_plural_translation_keys:
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example_vietnamese_translations[key] = vietnamese_translations_dict[key]
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new_translations = {}
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progress = 0
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for i in range(0, len(needed_translations), 20):
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chunk = needed_translations[i : i + 20]
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translation_requests = {}
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for key in chunk:
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translation_requests[key] = english_translations_dict[key]
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prompt = f"""
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Please translate the following text from English to {lang_display_name}.
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Example:
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req: {json.dumps(example_english_translations, indent=2)}
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res: {json.dumps(example_vietnamese_translations, indent=2)}
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========================
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req: {json.dumps(translation_requests, indent=2)}
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res:
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"""
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client = OpenAI()
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chat_completion = client.chat.completions.create(
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messages=[
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{
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"role": "system",
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"content": "You are a translator that will only response to translation requests in json format without any additional information.",
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},
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{
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"role": "user",
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"content": prompt,
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},
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],
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model="gpt-4o-mini",
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temperature=0.0,
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)
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response = chat_completion.choices[0].message.content
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_new_translations = json.loads(response)
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new_translations.update(_new_translations)
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print(f"Translated {progress + len(chunk)}/{len(needed_translations)}")
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progress += len(chunk)
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# save translations
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current_translations = load_translations(lang_code)
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current_translations.update(new_translations)
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save_translations(lang_code, current_translations)
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# reconcile metadata
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reconcile_metadata(lang_code, needed_translations)
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"""Example usage:
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python scripts/translate.py
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"""
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if __name__ == "__main__":
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lang_code = input("Enter the language code (e.g. vi, en): ").strip()
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lang_display_name = input(
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"Enter the language display name (e.g. Vietnamese, English): "
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)
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translate(
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lang_code=lang_code,
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lang_display_name=lang_display_name,
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)
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