from __future__ import annotations

import re


EN_LINE_REPLACEMENTS = {
    "Service packages (from) Transparent starting points.": "Service packages (from) Clear starting points.",
    "Frequently Asked Questions Transparent about planning, approach, and management.": "Frequently Asked Questions Clear guidance on planning, approach, and management.",
    "After your intake Clear scope and steps Clear planning Transparent investment Name * E-mail * Company * Project details Book business call Ready to start with Business Website?": "After your intake Clear scope and steps Clear planning Transparent pricing Name * E-mail * Company * Project details Book business call Ready to start with Business Website?",
    "After your intake Clear scope and steps Clear planning Transparent investment Name * E-mail * Company * Project details Book starter call Ready to start with Starter Website?": "After your intake Clear scope and steps Clear planning Transparent pricing Name * E-mail * Company * Project details Book starter call Ready to start with Starter Website?",
    "After your intake Clear scope and steps Clear planning Transparent investment Name * E-mail * Company * Project details Request support plan Ready to start with Support & Growth?": "After your intake Clear scope and steps Clear planning Transparent pricing Name * E-mail * Company * Project details Request support plan Ready to start with Support & Growth?",
    "After your intake Clear scope and steps Clear planning Transparent investment Name * E-mail * Company * Project details Start webshop project Ready to start with Webshop?": "After your intake Clear scope and steps Clear planning Transparent pricing Name * E-mail * Company * Project details Start webshop project Ready to start with Webshop?",
}

EN_PHRASE_REPLACEMENTS = {
    "Transparent investment": "Transparent pricing",
    "Transparent about planning, approach, and management.": "Clear guidance on planning, approach, and management.",
    "Transparent starting points.": "Clear starting points.",
}


def normalize_en_text(text: str, field_path: str = "") -> str:
    if text in EN_LINE_REPLACEMENTS:
        return EN_LINE_REPLACEMENTS[text]
    cleaned = text
    for source, target in sorted(EN_PHRASE_REPLACEMENTS.items(), key=lambda item: len(item[0]), reverse=True):
        cleaned = cleaned.replace(source, target)
    return re.sub(r"\s+", " ", cleaned).strip()