from typing import Dict, Any, List, Optional
from datetime import datetime

def build_mentor_text(mentor_data: Dict[str, Any]) -> str:
    parts = []
    
    full_name = mentor_data.get("full_name", "")
    if full_name:
        parts.append(f"Mentor Profile: {full_name}")
    
    bio = mentor_data.get("bio", "")
    if bio:
        parts.append(f"Bio: {bio}")
    
    career = mentor_data.get("career", {})
    if isinstance(career, dict) and career.get("name"):
        parts.append(f"Career: {career['name']}")
    elif isinstance(career, str):
        parts.append(f"Career: {career}")
    
    skills = mentor_data.get("skills", [])
    if skills:
        skill_names = []
        for skill in skills:
            if isinstance(skill, dict):
                skill_names.append(skill.get("name", ""))
            elif isinstance(skill, str):
                skill_names.append(skill)
        if skill_names:
            parts.append(f"Skills: {', '.join(skill_names)}")
    
    domains = mentor_data.get("domains", [])
    if domains:
        domain_names = []
        for domain in domains:
            if isinstance(domain, dict):
                domain_names.append(domain.get("name", ""))
            elif isinstance(domain, str):
                domain_names.append(domain)
        if domain_names:
            parts.append(f"Domains: {', '.join(domain_names)}")
    
    experiences = mentor_data.get("experiences", [])
    if experiences:
        exp_parts = []
        for exp in experiences:
            if isinstance(exp, dict):
                position = exp.get("position", "")
                company = exp.get("company", "")
                start_date = exp.get("start_date", "")
                end_date = exp.get("end_date", "") or "Present"
                description = exp.get("description", "")
                
                exp_str = f"  - {position}"
                if company:
                    exp_str += f" at {company}"
                if start_date:
                    exp_str += f" ({start_date} - {end_date})"
                if description:
                    exp_str += f": {description}"
                exp_parts.append(exp_str)
        
        if exp_parts:
            parts.append("Experience Details:")
            parts.extend(exp_parts)
    
    educations = mentor_data.get("educations", [])
    if educations:
        edu_parts = []
        for edu in educations:
            if isinstance(edu, dict):
                degree = edu.get("degree", "")
                school = edu.get("school", "")
                start_date = edu.get("start_date", "")
                end_date = edu.get("end_date", "")
                description = edu.get("description", "")
                
                edu_str = "  -"
                if degree:
                    edu_str += f" {degree}"
                if school:
                    edu_str += f" from {school}"
                if start_date:
                    edu_str += f" ({start_date} - {end_date})"
                if description:
                    edu_str += f": {description}"
                edu_parts.append(edu_str)
        
        if edu_parts:
            parts.append("Education:")
            parts.extend(edu_parts)
    
    rating = mentor_data.get("rating", 0.0)
    total_ratings = mentor_data.get("total_ratings", 0)
    if rating or total_ratings:
        parts.append(f"Rating: {rating:.1f}/5.0 ({total_ratings} reviews)")
    
    session_count = mentor_data.get("session_count", 0)
    if session_count:
        parts.append(f"Sessions Conducted: {session_count}")
    
    return "\n".join(parts)

def build_mentee_query_text(mentee_data: Dict[str, Any], resolved_names: Optional[Dict[str, Any]] = None) -> str:
    parts = ["Looking for mentor to help with:"]
    
    goals = mentee_data.get("goals", "")
    if goals:
        parts.append(f"Goals: {goals}")
    
    career_id = mentee_data.get("career_id")
    if career_id:
        if resolved_names and "career_name" in resolved_names:
            parts.append(f"Career: {resolved_names['career_name']}")
        else:
            parts.append(f"Career ID: {career_id}")
    
    domain_ids = mentee_data.get("domain_ids", [])
    if domain_ids:
        if resolved_names and "domain_names" in resolved_names and resolved_names["domain_names"]:
            parts.append(f"Preferred Domains: {', '.join(resolved_names['domain_names'])}")
        else:
            parts.append(f"Preferred Domains (IDs): {', '.join(map(str, domain_ids))}")
    
    mentor_domain_ids = mentee_data.get("mentor_domain_ids", [])
    if mentor_domain_ids:
        # Note: We reuse domain names mapping if available, otherwise just IDs
        # Ideally we would map these too if we knew they correspond to the same domain entities
        parts.append(f"Previous Mentor Domains (IDs): {', '.join(map(str, mentor_domain_ids))}")
    
    skill_ids = mentee_data.get("skill_ids", [])
    if skill_ids:
        if resolved_names and "skill_names" in resolved_names and resolved_names["skill_names"]:
            parts.append(f"Skills of Previous Mentors: {', '.join(resolved_names['skill_names'])}")
        else:
            parts.append(f"Skills of Previous Mentors (IDs): {', '.join(map(str, skill_ids))}")
    
    return "\n".join(parts)