import unicodedataimport regexfrom typing import Any, Dict

---

class LinguisticProcessingAPI:
“””
Core API for receiving, processing, and outputting linguistic data.
Initially focuses on English and other Latin-script languages.
“””

---

def __init__(self):
    # Supported languages mapped to script metadata
    self.supported_languages = {
        "en": {"script": "Latin", "description": "English"},
        "es": {"script": "Latin", "description": "Spanish"},
        "fr": {"script": "Latin", "description": "French"},
        "de": {"script": "Latin", "description": "German"},
        "it": {"script": "Latin", "description": "Italian"},
        "pt": {"script": "Latin", "description": "Portuguese"},
    }
    # Valid graphemes set for Latin script (letters, numbers, punctuation, common diacritics)
    valid_chars = (
        "abcdefghijklmnopqrstuvwxyz"
        "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
        "0123456789"
        " .,!?;:'\"()-—–—/\\&@#%*+"
        "áàâäãåā㥹ĆćČčĎďÉÈÊËĚěĞğĢģĦħ"
        "ÍÌÎÏīĮįİıĶķĹĺĻļĽľŁł"
        "ŃńŇňŅņÓÒÔÖÕØŌŏŐőŒœ"
        "РрŔŕŘřŚśŠšŞşŢţŤťÜÙÛÜŰűŪūŮůŲųŴŵÝýÿŶŷŸ"
        "ŹźŻżŽž"
        "Ççß"
        "ÆæØøÅå"
        "čČšŠžŽđĐ"
        "țȚăĂîÎâÂșȘ"
        "éñüáóíúäöàèûîïôöâä"
    )
    self.latin_grapheme_set = set(valid_chars)
    # Transformation rules for certain characters/ligatures
    self.transformation_rules = {
        'ß': 'ss',
        'æ': 'ae',
        'œ': 'oe',
    }

def process_text(self, text: str, language_code: str = "en", input_encoding: str = "utf-8") -> Dict[str, Any]:
    """
    Process text to normalize, apply transformations, and validate graphemes.
    Returns a dictionary with status, processed text, language used, validation status, and messages.
    """
    if not isinstance(text, str):
        return {
            "status": "failure",
            "processed_text": "",
            "language": None,
            "validation_status": "error",
            "validation_messages": ["Invalid input type for 'text'. Must be a string (Unicode)."],
            "original_input": text,
            "input_language_code": language_code,
        }

    status = "success"
    validation_status = "valid"
    validation_messages = []
    processing_language = language_code

    # Warn if the language code is not supported
    if language_code not in self.supported_languages:
        validation_status = "warning"
        validation_messages.append(
            f"Unsupported language code: {language_code}. Processing as generic Latin script.")
        processing_language = "generic_latin"

    # Basic normalization: lowercase and strip whitespace
    processed_text = text.lower().strip()

    # Normalize to NFC to unify decomposed/composed forms
    processed_text = unicodedata.normalize('NFC', processed_text)

    # Apply transformation rules (e.g., ß -> ss, æ -> ae)
    for old, new in self.transformation_rules.items():
        processed_text = processed_text.replace(old, new)

    # Validate characters against the allowed Latin grapheme set
    invalid_chars = {c for c in processed_text if c not in self.latin_grapheme_set}
    if invalid_chars:
        validation_status = "warning"
        invalid_repr = ", ".join(repr(c) for c in sorted(invalid_chars))
        validation_messages.append(
            f"Contains characters outside the defined Latin script grapheme set: {invalid_repr}")

    return {
        "status": status,
        "processed_text": processed_text,
        "language": processing_language,
        "validation_status": validation_status,
        "validation_messages": validation_messages,
        "original_input": text,
        "input_language_code": language_code,
    }

---

def process_ascii_input(ascii_bytes: bytes, language_code: str = “en”,
api_instance: LinguisticProcessingAPI = None) -> Dict[str, Any]:
“””
Convert byte input to Unicode and invoke the LinguisticProcessingAPI. Useful for
simulating raw ASCII keyboard input or network bytes.
“””
if not isinstance(ascii_bytes, bytes):
return {
“status”: “failure”,
“processed_text”: “”,
“language”: None,
“validation_status”: “error”,
“validation_messages”: [“Invalid input type for ‘ascii_bytes’. Must be a byte string.”],
“original_input”: ascii_bytes,
“input_language_code”: language_code,
}

---

try:
    unicode_text = ascii_bytes.decode('utf-8')
except UnicodeDecodeError as e:
    return {
        "status": "failure",
        "processed_text": "",
        "language": None,
        "validation_status": "error",
        "validation_messages": [f"Failed to decode byte string with UTF-8: {e}"],
        "original_input": ascii_bytes,
        "input_language_code": language_code,
    }

if api_instance is None:
    api_instance = LinguisticProcessingAPI()

return api_instance.process_text(unicode_text, language_code=language_code)

---

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