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gh-christianlouis-docuelevate/app/utils/i18n.py
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copilot-swe-agent[bot] 1a195a96bd fix: merge main, address code review feedback for security fix PR #816
- Merge origin/main into branch (resolve conflict in integrations_dashboard.html)
- Add defensive JSON parsing with try/except for integration.config
- Wrap tester() call in try/except to prevent 500 errors from bad config
- Add i18n key integrations.connection_test_failed_fallback in en.json
- Reference i18n key in template JS fallback message
- Update SECURITY_AUDIT.md: add fix date (2026-03-23), update doc date
- Remove accidental revert.sh file
- Fix missing MagicMock/patch imports in test file
- Add tests for invalid JSON config and tester exception error paths

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
Agent-Logs-Url: https://github.com/christianlouis/DocuElevate/sessions/daebb70e-059a-4601-8864-88eef49f99cf
2026-03-23 16:21:09 +00:00

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"""Internationalization (i18n) and localization (l10n) utilities.
Provides a JSON-based translation system for the DocuElevate UI with:
* **77 supported languages** covering European, Asian, Middle-Eastern, African, and other languages
* Browser ``Accept-Language`` detection with cookie & user-profile persistence
* AI-powered fallback translation via the configured LLM provider
* Locale-aware date, number, and file-size formatting helpers
* Jinja2 integration via a ``_()`` global function
Language resolution order:
1. User profile ``preferred_language`` (persisted in DB)
2. ``docuelevate_lang`` cookie
3. ``Accept-Language`` HTTP header
4. Default (``en``)
"""
from __future__ import annotations
import json
import logging
from datetime import date, datetime
from functools import lru_cache
from pathlib import Path
from typing import Any
from starlette.requests import Request
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Supported languages (ordered by priority)
# ---------------------------------------------------------------------------
SUPPORTED_LANGUAGES: list[dict[str, str]] = [
# --- Tier 1: Primary European languages ---
# flag: lowercase ISO 3166-1 alpha-2 country code used with the flag-icons CSS library
# (e.g. "gb" → <span class="fi fi-gb">). Regional codes like "gb-wls" are also supported.
{"code": "en", "name": "English", "native": "English", "flag": "gb"},
{"code": "de", "name": "German", "native": "Deutsch", "flag": "de"},
{"code": "fr", "name": "French", "native": "Français", "flag": "fr"},
{"code": "es", "name": "Spanish", "native": "Español", "flag": "es"},
{"code": "it", "name": "Italian", "native": "Italiano", "flag": "it"},
{"code": "pt", "name": "Portuguese", "native": "Português", "flag": "pt"},
# --- Tier 2: Western & Northern European ---
{"code": "nl", "name": "Dutch", "native": "Nederlands", "flag": "nl"},
{"code": "nb", "name": "Norwegian Bokmål", "native": "Norsk bokmål", "flag": "no"},
{"code": "no", "name": "Norwegian", "native": "Norsk", "flag": "no"},
{"code": "da", "name": "Danish", "native": "Dansk", "flag": "dk"},
{"code": "sv", "name": "Swedish", "native": "Svenska", "flag": "se"},
{"code": "fi", "name": "Finnish", "native": "Suomi", "flag": "fi"},
{"code": "is", "name": "Icelandic", "native": "Íslenska", "flag": "is"},
{"code": "ga", "name": "Irish", "native": "Gaeilge", "flag": "ie"},
{"code": "lb", "name": "Luxembourgish", "native": "Lëtzebuergesch", "flag": "lu"},
{"code": "ca", "name": "Catalan", "native": "Català", "flag": "es"}, # no dedicated ISO flag; use Spain
{"code": "cy", "name": "Welsh", "native": "Cymraeg", "flag": "gb-wls"}, # flag-icons GB region code
{"code": "fy", "name": "Western Frisian", "native": "Frysk", "flag": "nl"},
{"code": "gl", "name": "Galician", "native": "Galego", "flag": "es"},
{"code": "li", "name": "Limburgish", "native": "Limburgs", "flag": "nl"},
{"code": "vls", "name": "Flemish", "native": "West-Vlams", "flag": "be"},
{"code": "nds", "name": "Low German", "native": "Plattdüütsch", "flag": "de"},
# --- Tier 3: Central & Eastern European ---
{"code": "pl", "name": "Polish", "native": "Polski", "flag": "pl"},
{"code": "cs", "name": "Czech", "native": "Čeština", "flag": "cz"},
{"code": "sk", "name": "Slovak", "native": "Slovenčina", "flag": "sk"},
{"code": "hu", "name": "Hungarian", "native": "Magyar", "flag": "hu"},
{"code": "sl", "name": "Slovenian", "native": "Slovenščina", "flag": "si"},
{"code": "hr", "name": "Croatian", "native": "Hrvatski", "flag": "hr"},
{"code": "ro", "name": "Romanian", "native": "Română", "flag": "ro"},
{"code": "bg", "name": "Bulgarian", "native": "Български", "flag": "bg"},
{"code": "el", "name": "Greek", "native": "Ελληνικά", "flag": "gr"},
{"code": "et", "name": "Estonian", "native": "Eesti", "flag": "ee"},
{"code": "lv", "name": "Latvian", "native": "Latviešu", "flag": "lv"},
{"code": "lt", "name": "Lithuanian", "native": "Lietuvių", "flag": "lt"},
{"code": "sr", "name": "Serbian", "native": "Српски", "flag": "rs"},
# --- Tier 4: Non-EU European, Middle Eastern & African ---
{"code": "tr", "name": "Turkish", "native": "Türkçe", "flag": "tr"},
{"code": "uk", "name": "Ukrainian", "native": "Українська", "flag": "ua"},
{"code": "he", "name": "Hebrew", "native": "עברית", "flag": "il"},
{"code": "ar", "name": "Arabic", "native": "العربية", "flag": "sa"},
{"code": "fa", "name": "Persian", "native": "فارسی", "flag": "ir"},
{"code": "af", "name": "Afrikaans", "native": "Afrikaans", "flag": "za"},
# --- Tier 5: Asian languages ---
{"code": "zh", "name": "Chinese", "native": "中文", "flag": "cn"},
{"code": "zh-TW", "name": "Traditional Chinese", "native": "繁體中文", "flag": "tw"},
{"code": "ja", "name": "Japanese", "native": "日本語", "flag": "jp"},
{"code": "ko", "name": "Korean", "native": "한국어", "flag": "kr"},
{"code": "vi", "name": "Vietnamese", "native": "Tiếng Việt", "flag": "vn"},
{"code": "pa", "name": "Punjabi", "native": "ਪੰਜਾਬੀ", "flag": "in"},
{"code": "kn", "name": "Kannada", "native": "ಕನ್ನಡ", "flag": "in"},
{"code": "hi", "name": "Hindi", "native": "हिन्दी", "flag": "in"},
{"code": "bn", "name": "Bengali", "native": "বাংলা", "flag": "bd"},
{"code": "gu", "name": "Gujarati", "native": "ગુજરાતી", "flag": "in"},
{"code": "ml", "name": "Malayalam", "native": "മലയാളം", "flag": "in"},
{"code": "mr", "name": "Marathi", "native": "मराठी", "flag": "in"},
{"code": "ta", "name": "Tamil", "native": "தமிழ்", "flag": "in"},
{"code": "te", "name": "Telugu", "native": "తెలుగు", "flag": "in"},
{"code": "ur", "name": "Urdu", "native": "اردو", "flag": "pk"},
{"code": "si", "name": "Sinhala", "native": "සිංහල", "flag": "lk"},
{"code": "ne", "name": "Nepali", "native": "नेपाली", "flag": "np"},
{"code": "th", "name": "Thai", "native": "ไทย", "flag": "th"},
{"code": "km", "name": "Khmer", "native": "ខ្មែរ", "flag": "kh"},
{"code": "id", "name": "Indonesian", "native": "Bahasa Indonesia", "flag": "id"},
{"code": "ms", "name": "Malay", "native": "Bahasa Melayu", "flag": "my"},
{"code": "jv", "name": "Javanese", "native": "Basa Jawa", "flag": "id"},
{"code": "tl", "name": "Tagalog", "native": "Filipino", "flag": "ph"},
{"code": "mn", "name": "Mongolian", "native": "Монгол", "flag": "mn"},
{"code": "kk", "name": "Kazakh", "native": "Қазақ тілі", "flag": "kz"},
{"code": "uz", "name": "Uzbek", "native": "Oʻzbekcha", "flag": "uz"},
{"code": "az", "name": "Azerbaijani", "native": "Azərbaycan dili", "flag": "az"},
{"code": "hy", "name": "Armenian", "native": "Հայերեն", "flag": "am"},
{"code": "ka", "name": "Georgian", "native": "ქართული", "flag": "ge"},
# --- Tier 6: African languages ---
{"code": "sw", "name": "Swahili", "native": "Kiswahili", "flag": "ke"},
{"code": "am", "name": "Amharic", "native": "አማርኛ", "flag": "et"},
{"code": "ha", "name": "Hausa", "native": "Hausa", "flag": "ng"},
{"code": "yo", "name": "Yoruba", "native": "Yorùbá", "flag": "ng"},
{"code": "ig", "name": "Igbo", "native": "Igbo", "flag": "ng"},
{"code": "zu", "name": "Zulu", "native": "isiZulu", "flag": "za"},
# --- Tier 7: Constructed & other languages ---
{"code": "eo", "name": "Esperanto", "native": "Esperanto", "flag": "un"}, # UN flag for international language
]
SUPPORTED_LANGUAGE_CODES: set[str] = {lang["code"] for lang in SUPPORTED_LANGUAGES}
DEFAULT_LANGUAGE = "en"
# Lookup map for fast code → language-dict resolution
_LANG_CODE_MAP: dict[str, dict[str, str]] = {lang["code"]: lang for lang in SUPPORTED_LANGUAGES}
# Global-usage order used to fill remaining slots in the smart suggestions list
_POPULAR_LANGUAGE_CODES: list[str] = ["en", "zh", "es", "ar", "fr", "de", "ja", "pt", "hi", "ko"]
# ---------------------------------------------------------------------------
# Translation file loading
# ---------------------------------------------------------------------------
_TRANSLATIONS_DIR = Path(__file__).resolve().parent.parent.parent / "frontend" / "translations"
_translation_cache: dict[str, dict[str, str]] = {}
def _load_translations(locale: str) -> dict[str, str]:
"""Load the translation JSON file for *locale*, with caching."""
if locale in _translation_cache:
return _translation_cache[locale]
filepath = _TRANSLATIONS_DIR / f"{locale}.json"
if not filepath.is_file():
logger.warning("Translation file not found for locale '%s'", locale)
_translation_cache[locale] = {}
return {}
try:
data: dict[str, str] = json.loads(filepath.read_text(encoding="utf-8"))
_translation_cache[locale] = data
return data
except (json.JSONDecodeError, OSError):
logger.exception("Failed to load translations for '%s'", locale)
_translation_cache[locale] = {}
return {}
def reload_translations() -> None:
"""Clear the translation cache so files are re-read on next access."""
_translation_cache.clear()
# ---------------------------------------------------------------------------
# Core translation function
# ---------------------------------------------------------------------------
def translate(key: str, locale: str | None = None, **kwargs: Any) -> str:
"""Return the translated string for *key* in *locale*.
Falls back through:
1. Requested *locale*
2. English (``en``)
3. The raw key itself (to keep the UI functional)
Positional placeholders ``{0}``, ``{1}`` or named placeholders
``{name}`` in the translated string are interpolated via *kwargs*.
"""
locale = locale if locale and locale in SUPPORTED_LANGUAGE_CODES else DEFAULT_LANGUAGE
translations = _load_translations(locale)
value = translations.get(key)
# Fallback to English
if value is None and locale != DEFAULT_LANGUAGE:
en_translations = _load_translations(DEFAULT_LANGUAGE)
value = en_translations.get(key)
# Fallback to key itself
if value is None:
value = key
if kwargs:
try:
value = value.format(**kwargs)
except (KeyError, IndexError):
pass # Return unformatted string rather than crash
return value
# ---------------------------------------------------------------------------
# AI fallback translation (best-effort, non-blocking)
# ---------------------------------------------------------------------------
_ai_translation_cache: dict[tuple[str, str], str] = {}
def translate_with_ai_fallback(text: str, target_locale: str) -> str:
"""Translate *text* using the configured AI provider as a fallback.
Returns the original *text* unchanged when:
* The target locale is English (source language)
* The AI provider is unavailable or returns an error
* The translation has already been cached
Results are cached in-memory for the lifetime of the process.
"""
if target_locale == DEFAULT_LANGUAGE or target_locale not in SUPPORTED_LANGUAGE_CODES:
return text
cache_key = (text, target_locale)
if cache_key in _ai_translation_cache:
return _ai_translation_cache[cache_key]
target_name = next(
(lang["name"] for lang in SUPPORTED_LANGUAGES if lang["code"] == target_locale),
target_locale,
)
try:
from litellm import completion # type: ignore[import-untyped]
from app.config import settings
model = getattr(settings, "ai_model", None) or getattr(settings, "openai_model", "gpt-4o-mini")
response = completion(
model=model,
messages=[
{
"role": "system",
"content": (
f"You are a professional translator. Translate the following UI text "
f"from English to {target_name}. Return ONLY the translated text, "
f"nothing else. Keep any HTML tags, placeholders like {{name}}, "
f"and special characters intact."
),
},
{"role": "user", "content": text},
],
max_tokens=256,
temperature=0.1,
)
translated = response.choices[0].message.content.strip()
_ai_translation_cache[cache_key] = translated
return translated
except Exception:
logger.debug("AI fallback translation failed for '%s' → %s", text[:50], target_locale)
return text
# ---------------------------------------------------------------------------
# Language detection
# ---------------------------------------------------------------------------
def detect_language(request: Request) -> str:
"""Determine the preferred UI language from the request context.
Resolution order:
1. ``preferred_language`` stored in the user session
2. ``docuelevate_lang`` cookie
3. ``Accept-Language`` HTTP header (best match)
4. Default → ``en``
"""
# 1. User session preference
if hasattr(request, "session"):
session_lang = request.session.get("preferred_language")
if isinstance(session_lang, str) and session_lang in SUPPORTED_LANGUAGE_CODES:
return session_lang
# 2. Cookie
if hasattr(request, "cookies"):
cookie_lang = request.cookies.get("docuelevate_lang")
if isinstance(cookie_lang, str) and cookie_lang in SUPPORTED_LANGUAGE_CODES:
return cookie_lang
# 3. Accept-Language header
accept = ""
if hasattr(request, "headers"):
accept = request.headers.get("accept-language", "")
lang = _parse_accept_language(accept)
if lang:
return lang
return DEFAULT_LANGUAGE
def _parse_accept_language_entries(header: str) -> list[tuple[float, str]]:
"""Parse an ``Accept-Language`` header into quality-sorted ``(q, tag)`` pairs."""
if not header:
return []
entries: list[tuple[float, str]] = []
for raw_part in header.split(","):
part = raw_part.strip()
if not part:
continue
if ";q=" in part:
lang_tag, _, q_str = part.partition(";q=")
try:
quality = float(q_str.strip())
except ValueError:
quality = 0.0
else:
lang_tag = part
quality = 1.0
entries.append((quality, lang_tag.strip().lower()))
entries.sort(key=lambda e: e[0], reverse=True)
return entries
def _parse_accept_language(header: str) -> str | None:
"""Extract the best matching language from an ``Accept-Language`` header.
Parses quality values and returns the highest-priority match among
:data:`SUPPORTED_LANGUAGE_CODES`, or ``None`` if nothing matches.
"""
for _quality, tag in _parse_accept_language_entries(header):
code = tag.split("-")[0]
if code in SUPPORTED_LANGUAGE_CODES:
return code
return None
# Maximum number of languages shown in the compact nav-bar dropdown
_SUGGESTED_LANGUAGES_MAX = 6
def get_suggested_languages(current_locale: str, accept_language_header: str = "") -> list[dict[str, str]]:
"""Return up to :data:`_SUGGESTED_LANGUAGES_MAX` suggested languages for the compact picker.
Selection priority:
1. The currently active language (always included first).
2. Languages listed in the browser's ``Accept-Language`` header.
3. Popular global languages (by estimated speaker count) as fillers.
The resulting list is de-duplicated and capped at
:data:`_SUGGESTED_LANGUAGES_MAX` entries.
"""
candidates: list[str] = []
# 1. Active locale first
if current_locale in SUPPORTED_LANGUAGE_CODES:
candidates.append(current_locale)
# 2. Browser preferences
for _quality, tag in _parse_accept_language_entries(accept_language_header):
if len(candidates) >= _SUGGESTED_LANGUAGES_MAX:
break
code = tag.split("-")[0]
if code in SUPPORTED_LANGUAGE_CODES and code not in candidates:
candidates.append(code)
# 3. Popular language fillers
for code in _POPULAR_LANGUAGE_CODES:
if len(candidates) >= _SUGGESTED_LANGUAGES_MAX:
break
if code not in candidates and code in SUPPORTED_LANGUAGE_CODES:
candidates.append(code)
return [_LANG_CODE_MAP[c] for c in candidates[:_SUGGESTED_LANGUAGES_MAX] if c in _LANG_CODE_MAP]
# ---------------------------------------------------------------------------
# Localization helpers (l10n)
# ---------------------------------------------------------------------------
# Locale-specific formatting rules for date/number display
_LOCALE_FORMATS: dict[str, dict[str, Any]] = {
"en": {
"date": "%B %d, %Y",
"date_short": "%m/%d/%Y",
"datetime": "%B %d, %Y %I:%M %p",
"thousands_sep": ",",
"decimal_sep": ".",
},
"de": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"fr": {
"date": "%d %B %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": "\u202f",
"decimal_sep": ",",
},
"es": {
"date": "%d de %B de %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d de %B de %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"it": {
"date": "%d %B %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"pt": {
"date": "%d de %B de %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d de %B de %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"nl": {
"date": "%d %B %Y",
"date_short": "%d-%m-%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"nb": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"da": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"sv": {
"date": "%d %B %Y",
"date_short": "%Y-%m-%d",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"fi": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"is": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"ga": {
"date": "%d %B %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ",",
"decimal_sep": ".",
},
"lb": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"ca": {
"date": "%d de %B de %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d de %B de %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"pl": {
"date": "%d %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"cs": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"sk": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"hu": {
"date": "%Y. %B %d.",
"date_short": "%Y.%m.%d.",
"datetime": "%Y. %B %d. %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"sl": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"hr": {
"date": "%d. %B %Y.",
"date_short": "%d.%m.%Y.",
"datetime": "%d. %B %Y. %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"ro": {
"date": "%d %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"bg": {
"date": "%d %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"el": {
"date": "%d %B %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"et": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"lv": {
"date": "%Y. gada %d. %B",
"date_short": "%d.%m.%Y.",
"datetime": "%Y. gada %d. %B %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"lt": {
"date": "%Y m. %B %d d.",
"date_short": "%Y-%m-%d",
"datetime": "%Y m. %B %d d. %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"tr": {
"date": "%d %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"uk": {
"date": "%d %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"zh": {
"date": "%Y年%m月%d日",
"date_short": "%Y/%m/%d",
"datetime": "%Y年%m月%d日 %H:%M",
"thousands_sep": ",",
"decimal_sep": ".",
},
"ru": {
"date": "%d %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
# --- New languages ---
"no": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"cy": {
"date": "%d %B %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ",",
"decimal_sep": ".",
},
"fy": {
"date": "%d %B %Y",
"date_short": "%d-%m-%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"gl": {
"date": "%d de %B de %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d de %B de %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"li": {
"date": "%d %B %Y",
"date_short": "%d-%m-%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"vls": {
"date": "%d %B %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"nds": {
"date": "%d. %B %Y",
"date_short": "%d.%m.%Y",
"datetime": "%d. %B %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"sr": {
"date": "%d. %B %Y.",
"date_short": "%d.%m.%Y.",
"datetime": "%d. %B %Y. %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"he": {
"date": "%d %B %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ",",
"decimal_sep": ".",
},
"ar": {
"date": "%d %B %Y",
"date_short": "%Y/%m/%d",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ",",
"decimal_sep": ".",
},
"fa": {
"date": "%d %B %Y",
"date_short": "%Y/%m/%d",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ",",
"decimal_sep": ".",
},
"af": {
"date": "%d %B %Y",
"date_short": "%Y/%m/%d",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
"ja": {
"date": "%Y年%m月%d日",
"date_short": "%Y/%m/%d",
"datetime": "%Y年%m月%d日 %H:%M",
"thousands_sep": ",",
"decimal_sep": ".",
},
"ko": {
"date": "%Y년 %m월 %d일",
"date_short": "%Y.%m.%d",
"datetime": "%Y년 %m월 %d일 %H:%M",
"thousands_sep": ",",
"decimal_sep": ".",
},
"vi": {
"date": "ngày %d tháng %m năm %Y",
"date_short": "%d/%m/%Y",
"datetime": "ngày %d tháng %m năm %Y %H:%M",
"thousands_sep": ".",
"decimal_sep": ",",
},
"pa": {
"date": "%d %B %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ",",
"decimal_sep": ".",
},
"kn": {
"date": "%d %B %Y",
"date_short": "%d/%m/%Y",
"datetime": "%d %B %Y %H:%M",
"thousands_sep": ",",
"decimal_sep": ".",
},
"eo": {
"date": "%d-a de %B %Y",
"date_short": "%Y-%m-%d",
"datetime": "%d-a de %B %Y %H:%M",
"thousands_sep": "\u00a0",
"decimal_sep": ",",
},
}
def format_date(value: date | datetime | None, locale: str = DEFAULT_LANGUAGE, short: bool = False) -> str:
"""Format a date/datetime value according to the locale conventions."""
if value is None:
return ""
fmt_key = "date_short" if short else "date"
fmt = _LOCALE_FORMATS.get(locale, _LOCALE_FORMATS[DEFAULT_LANGUAGE])[fmt_key]
return value.strftime(fmt)
def format_datetime(value: datetime | None, locale: str = DEFAULT_LANGUAGE) -> str:
"""Format a datetime value according to the locale conventions."""
if value is None:
return ""
fmt = _LOCALE_FORMATS.get(locale, _LOCALE_FORMATS[DEFAULT_LANGUAGE])["datetime"]
return value.strftime(fmt)
def format_number(value: int | float, locale: str = DEFAULT_LANGUAGE) -> str:
"""Format a number with locale-appropriate thousand separators."""
lf = _LOCALE_FORMATS.get(locale, _LOCALE_FORMATS[DEFAULT_LANGUAGE])
if isinstance(value, float):
int_part, _, dec_part = f"{value:,.2f}".partition(".")
formatted_int = int_part.replace(",", lf["thousands_sep"])
return f"{formatted_int}{lf['decimal_sep']}{dec_part}"
return f"{value:,}".replace(",", lf["thousands_sep"])
@lru_cache(maxsize=32)
def get_language_info(code: str) -> dict[str, str] | None:
"""Return the metadata dict for a supported language code, or ``None``."""
for lang in SUPPORTED_LANGUAGES:
if lang["code"] == code:
return lang
return None