from typing import Any, Dict


def get_nested(data: Dict[str, Any], *keys: str) -> Any:
    current: Any = data

    for key in keys:
        if not isinstance(current, dict):
            return None
        current = current.get(key)

    return current


def clean_email_reply_text(content: str) -> str:
    text = str(content or "").replace("\r\n", "\n").replace("\r", "\n").strip()

    cut_markers = [
        "\nDe:",
        "\nEnviada:",
        "\nEnviado:",
        "\nAssunto:",
        "\nPara:",
        "\nCc:",
        "\nÀs ",
        "\nOn ",
        "\nFrom:",
        "\nSent:",
        "\nSubject:",
        "\nTo:",
        "\n-----Original Message-----",
        "\n________________________________",
    ]

    cut_at = len(text)

    for marker in cut_markers:
        idx = text.find(marker)
        if idx != -1:
            cut_at = min(cut_at, idx)

    cleaned = text[:cut_at].strip()

    lines = []
    for line in cleaned.split("\n"):
        if line.strip().startswith(">"):
            continue
        lines.append(line)

    return "\n".join(lines).strip()


def extract_chatwoot_content(payload: Dict[str, Any], message: Dict[str, Any]) -> str:
    content = (
        get_nested(message, "content_attributes", "email", "html_content", "reply")
        or get_nested(message, "content_attributes", "email", "text_content", "reply")
        or get_nested(payload, "content_attributes", "email", "html_content", "reply")
        or get_nested(payload, "content_attributes", "email", "text_content", "reply")
        or message.get("processed_message_content")
        or message.get("content")
        or payload.get("content")
        or ""
    )

    return clean_email_reply_text(str(content or ""))