Core API definition
class LinguisticProcessingAPI:
def init(self):
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_chars_str = (
“abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ”
“0123456789”
” .,!?;:’\”()-—–—/\&@#%*+”
“áàâäãåā㥹ĆćČčĎďÉÈÊËĚěĞğĢģĦħÍÌÎÏīĮįİıĶķĹĺĻļĽľŁł”
“ŃńŇňŅņÓÒÔÖÕØŌŏŐőŒœРрŔŕŘřŚśŠšŞşŢţŤťÜÙÛÜŰűŪūŮůŲųŴŵ”
“ÝýÿŶŷŸŹźŻżŽžÇçßÆæØøÅåčČšŠžŽđĐțȚăĂîÎâÂșȘéñüáóíúäöàèûîïôöâä”
)
self.latin_grapheme_set = set(valid_chars_str)
self.transformation_rules = {
‘ß’: ‘ss’,
‘æ’: ‘ae’,
‘œ’: ‘oe’,
}
def process_text(self, text, language_code: str = "en", input_encoding: str = 'utf-8') -> dict:
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,
}
validation_status = "valid"
validation_messages = []
processing_language = language_code
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"
processed_text = unicodedata.normalize('NFC', text.lower().strip())
for old, new in self.transformation_rules.items():
processed_text = processed_text.replace(old, new)
invalid_graphemes = {char for char in processed_text if char not in self.latin_grapheme_set}
if invalid_graphemes:
if validation_status == "valid":
validation_status = "warning"
message = ("Contains characters outside the defined Latin script grapheme set: "
+ ", ".join(repr(c) for c in sorted(invalid_graphemes)))
validation_messages.append(message)
return {
"status": "success",
"processed_text": processed_text,
"language": processing_language,
"validation_status": validation_status,
"validation_messages": validation_messages,
"original_input": text,
"input_language_code": language_code,
}Helper to simulate ASCII byte input
def process_ascii_input(ascii_bytes: bytes, language_code: str = “en”, api_instance: LinguisticProcessingAPI = None) -> dict:
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:
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(text, language_code=language_code)
Example usage:
api = LinguisticProcessingAPI()
result = process_ascii_input(b”Hello, world!”, language_code=”en”, api_instance=api)
print(result)
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