"""Claude Email Agent for intelligent email analysis and automation.

This module provides Claude Agent integration with gmaillm, enabling:
- Natural language email analysis
- Email history querying
- Workflow action suggestions
- Intelligent reply drafting
"""

from typing import List, Optional, Dict, Any

from rich.console import Console

console = Console()

# System prompt for Claude to understand email domain
SYSTEM_PROMPT = """You are an intelligent email assistant integrated with Gmail.

Your capabilities:
1. Analyze email content and extract key information (subjects, deadlines, action items)
2. Answer natural language questions about email history
3. Synthesize information from multiple emails
4. Suggest workflow actions (archive, label, reply, etc.)
5. Draft professional email replies in various styles

Guidelines:
- Be concise and factual when analyzing emails
- Respect email privacy - never store sensitive content
- Provide actionable suggestions
- Consider context from multiple emails when synthesizing answers
- Match the appropriate style (professional-formal, professional-friendly, casual-friendly)

When answering questions:
1. Search through provided emails
2. Extract relevant information
3. Synthesize a clear, concise answer
4. Include context when helpful

When suggesting actions:
1. Identify email patterns (newsletters, notifications, urgent items)
2. Suggest appropriate actions
3. Preview action before execution
4. Let user confirm before proceeding

When drafting replies:
1. Maintain appropriate style based on recipient and context
2. Keep tone warm and professional
3. Be concise but complete
4. Include greeting and closing
"""


class ClaudeEmailAgent:
    """Claude Agent for intelligent email operations.

    Integrates Claude's reasoning with Gmail operations to provide:
    - Email analysis and synthesis
    - Natural language querying of email history
    - Workflow action suggestions
    - Intelligent reply drafting

    Example:
        agent = ClaudeEmailAgent(model="sonnet")

        # Analyze an email
        analysis = agent.analyze_email({
            "from": "boss@company.com",
            "subject": "Project Update",
            "body": "The project is on track..."
        })

        # Query email history
        answer = agent.query("What did Alice say about the deadline?", emails)

        # Suggest workflow actions
        suggestions = agent.suggest_workflow_actions(emails)
    """

    def __init__(
        self,
        model: str = "sonnet",
        console: Optional[Console] = None,
    ):
        """Initialize Claude Email Agent.

        Args:
            model: Claude model to use (haiku, sonnet, opus)
            console: Rich console for output (default: create new)
        """
        self.model = model
        self.console = console or Console()

    def analyze_email(self, email: Dict[str, Any]) -> str:
        """Analyze email content and extract key information.

        Args:
            email: Email dict with from, subject, body fields

        Returns:
            Analysis text with key information and action items
        """
        from_field = email.get("from", "Unknown")
        subject = email.get("subject", "(No subject)")
        body = email.get("body", "(No body)")

        analysis_prompt = f"""Analyze this email and extract key information:

From: {from_field}
Subject: {subject}

{body}

Provide:
1. Main topic/purpose
2. Key points or information
3. Any action items or deadlines
4. Suggested response (if needed)
"""

        # This will be replaced with actual Claude API call in implementation
        return f"Analysis of email from {from_field}: {subject}"

    def query(self, question: str, emails: List[Dict[str, Any]]) -> str:
        """Answer natural language question about email history.

        Args:
            question: Natural language question
            emails: List of email dicts to search through

        Returns:
            Answer synthesized from emails
        """
        if not emails:
            return "No emails to search through."

        emails_context = "\n---\n".join([
            f"From: {e.get('from', '?')}\nSubject: {e.get('subject', '?')}\n{e.get('body', '')}"
            for e in emails
        ])

        query_prompt = f"""User Question: {question}

Email History:
{emails_context}

Answer the question based on the emails provided. Be concise and factual."""

        # This will be replaced with actual Claude API call in implementation
        return f"Based on the emails, here's an answer to: {question}"

    def summarize_thread(self, emails: List[Dict[str, Any]]) -> str:
        """Summarize an email thread.

        Args:
            emails: List of emails in thread (in chronological order)

        Returns:
            Summary of thread
        """
        if not emails:
            return "No emails to summarize."

        thread_summary_prompt = f"""Summarize this email thread in 2-3 sentences:

{chr(10).join([e.get('body', '') for e in emails])}

Focus on:
- Main topic
- Key decisions or outcomes
- Any action items"""

        # This will be replaced with actual Claude API call in implementation
        return f"Summary of {len(emails)} emails"

    def suggest_workflow_actions(self, emails: List[Dict[str, Any]]) -> List[str]:
        """Suggest workflow actions for emails.

        Args:
            emails: List of emails to analyze

        Returns:
            List of suggested actions
        """
        if not emails:
            return []

        action_prompt = f"""Suggest workflow actions for these {len(emails)} emails:

{chr(10).join([f"From: {e.get('from', '?')} - {e.get('subject', '?')}" for e in emails])}

Suggest actions like:
- Archive newsletters
- Flag important items
- Create calendar events
- Draft replies"""

        # This will be replaced with actual Claude API call in implementation
        suggestions = [
            "Archive newsletters",
            "Flag important items",
        ]
        return suggestions

    def draft_reply(
        self,
        email: Dict[str, Any],
        style: str = "professional-friendly",
        instructions: Optional[str] = None,
    ) -> str:
        """Draft a reply to an email.

        Args:
            email: Email to reply to
            style: Style to use (professional-formal, professional-friendly, casual-friendly)
            instructions: Optional instructions for the reply

        Returns:
            Draft reply text
        """
        from_field = email.get("from", "Unknown")
        subject = email.get("subject", "(No subject)")
        body = email.get("body", "(No body)")

        draft_prompt = f"""Draft a {style} reply to this email:

From: {from_field}
Subject: {subject}

{body}

{"Additional instructions: " + instructions if instructions else ""}

Provide only the reply body, no greeting/closing markers."""

        # This will be replaced with actual Claude API call in implementation
        return f"Thank you for your email about {subject}. ..."

    def search_and_analyze(self, query: str, client: Any = None) -> str:
        """Search emails and provide analysis.

        Args:
            query: Gmail search query
            client: GmailClient instance (for actual email fetching)

        Returns:
            Analysis of search results
        """
        if client is None:
            return "Client not provided for searching"

        # This would use client.search_emails(query) to fetch emails
        # Then analyze them with Claude
        return f"Analysis of emails matching: {query}"


class EmailAgentFactory:
    """Factory for creating configured Email Agent instances."""

    @staticmethod
    def create(
        model: str = "sonnet",
        console: Optional[Console] = None,
    ) -> "ClaudeEmailAgent":
        """Create a configured Email Agent.

        Args:
            model: Claude model to use
            console: Rich console for output

        Returns:
            Configured ClaudeEmailAgent instance
        """
        return ClaudeEmailAgent(model=model, console=console)
