c5358f5f

Overview

---

import unicodedata
import logging
import regex
import ast

# 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)

---

import unicodedata
import logging
import regex
import ast

# 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)

---

ucls_infra_gateway_v2.py – SolveForce Communications

---

Key terms in plain language

Open a term for a concise explanation of language used on this page.

🔗API

An application programming interface is a defined way for software systems to exchange data or request functions from one another.

📞VoIP

Voice over Internet Protocol carries phone calls over an IP network instead of a traditional analog phone line. Call quality depends on network stability, latency, and traffic management.

💬Unified Communications (UCaaS)

A cloud-based combination of business calling, messaging, meetings, presence, and collaboration tools managed as one communications service.

🔌SIP Trunking

A service that connects a business phone system to the public telephone network using Internet Protocol, replacing or supplementing traditional phone lines.

📊Bandwidth

The amount of data a connection can carry in a given time, usually measured in Mbps or Gbps. More bandwidth supports more users, devices, and simultaneous applications.

⏱️Latency

The time it takes data to travel between two points. Lower latency improves voice, video meetings, cloud applications, gaming, and other real-time services.