from typing import List, Optional, Dict, Any
import json
from sqlalchemy.exc import IntegrityError
from app.core.responses import ApiError
from sqlalchemy.orm import Session
from sqlalchemy import and_, or_, func
from adapters.db.models.person import Person, PersonBankAccount, PersonType
from adapters.db.models.document import Document
from adapters.db.models.document_line import DocumentLine
from adapters.api.v1.schema_models.person import (
    PersonCreateRequest, PersonUpdateRequest, PersonBankAccountCreateRequest
)
from app.core.responses import success_response


def create_person(db: Session, business_id: int, person_data: PersonCreateRequest) -> Dict[str, Any]:
    """ایجاد شخص جدید"""
    # محاسبه/اعتبارسنجی کد یکتا
    code: Optional[int] = getattr(person_data, 'code', None)
    if code is not None:
        exists = db.query(Person).filter(
            and_(Person.business_id == business_id, Person.code == code)
        ).first()
        if exists:
            raise ApiError("DUPLICATE_PERSON_CODE", "کد شخص تکراری است", http_status=400)
    else:
        # تولید خودکار کد: بیشینه فعلی + 1 (نسبت به همان کسب و کار)
        max_code = db.query(func.max(Person.code)).filter(Person.business_id == business_id).scalar()
        code = (max_code or 0) + 1

    # آماده‌سازی person_types (چندانتخابی) و سازگاری person_type تکی
    types_list: List[str] = []
    if getattr(person_data, 'person_types', None):
        types_list = [t.value if hasattr(t, 'value') else str(t) for t in person_data.person_types]  # type: ignore[attr-defined]
    elif getattr(person_data, 'person_type', None):
        t = person_data.person_type
        types_list = [t.value if hasattr(t, 'value') else str(t)]

    # نوع تکی برای استفاده‌های بعدی (قبل از هر استفاده تعریف شود)
    incoming_single_type = getattr(person_data, 'person_type', None)

    # اعتبارسنجی سهام برای سهامدار
    is_shareholder = False
    if types_list:
        is_shareholder = 'سهامدار' in types_list
    if not is_shareholder and incoming_single_type is not None:
        try:
            is_shareholder = (getattr(incoming_single_type, 'value', str(incoming_single_type)) == 'سهامدار')
        except Exception:
            is_shareholder = False
    if is_shareholder:
        sc_val = getattr(person_data, 'share_count', None)
        if sc_val is None or not isinstance(sc_val, int) or sc_val <= 0:
            raise ApiError("INVALID_SHARE_COUNT", "برای سهامدار، تعداد سهام الزامی و باید بزرگتر از صفر باشد", http_status=400)

    # ایجاد شخص
    # نگاشت person_type دریافتی از اسکیما به Enum مدل
    mapped_single_type = None
    if incoming_single_type is not None:
        try:
            # incoming_single_type.value مقدار فارسی مانند "سهامدار"
            mapped_single_type = PersonType(getattr(incoming_single_type, 'value', str(incoming_single_type)))
        except Exception:
            mapped_single_type = None

    person = Person(
        business_id=business_id,
        code=code,
        alias_name=person_data.alias_name,
        first_name=person_data.first_name,
        last_name=person_data.last_name,
        # ذخیره مقدار Enum با مقدار فارسی (values_callable در مدل مقادیر فارسی را می‌نویسد)
        person_types=json.dumps(types_list, ensure_ascii=False) if types_list else None,
        company_name=person_data.company_name,
        payment_id=person_data.payment_id,
        national_id=person_data.national_id,
        registration_number=person_data.registration_number,
        economic_id=person_data.economic_id,
        country=person_data.country,
        province=person_data.province,
        city=person_data.city,
        address=person_data.address,
        postal_code=person_data.postal_code,
        phone=person_data.phone,
        mobile=person_data.mobile,
        fax=person_data.fax,
        email=person_data.email,
        website=person_data.website,
        share_count=getattr(person_data, 'share_count', None),
        commission_sale_percent=getattr(person_data, 'commission_sale_percent', None),
        commission_sales_return_percent=getattr(person_data, 'commission_sales_return_percent', None),
        commission_sales_amount=getattr(person_data, 'commission_sales_amount', None),
        commission_sales_return_amount=getattr(person_data, 'commission_sales_return_amount', None),
        commission_exclude_discounts=bool(getattr(person_data, 'commission_exclude_discounts', False)),
        commission_exclude_additions_deductions=bool(getattr(person_data, 'commission_exclude_additions_deductions', False)),
        commission_post_in_invoice_document=bool(getattr(person_data, 'commission_post_in_invoice_document', False)),
    )
    
    db.add(person)
    db.flush()  # برای دریافت ID
    
    # ایجاد حساب‌های بانکی
    if person_data.bank_accounts:
        for bank_account_data in person_data.bank_accounts:
            bank_account = PersonBankAccount(
                person_id=person.id,
                bank_name=bank_account_data.bank_name,
                account_number=bank_account_data.account_number,
                card_number=bank_account_data.card_number,
                sheba_number=bank_account_data.sheba_number,
            )
            db.add(bank_account)
    
    try:
        db.commit()
    except IntegrityError:
        db.rollback()
        raise ApiError("DUPLICATE_PERSON_CODE", "کد شخص تکراری است", http_status=400)
    db.refresh(person)
    
    return success_response(
        message="شخص با موفقیت ایجاد شد",
        data=_person_to_dict(person)
    )


def get_person_by_id(db: Session, person_id: int, business_id: int) -> Optional[Dict[str, Any]]:
    """دریافت شخص بر اساس شناسه"""
    person = db.query(Person).filter(
        and_(Person.id == person_id, Person.business_id == business_id)
    ).first()
    
    if not person:
        return None
    
    return _person_to_dict(person)


def get_persons_by_business(
    db: Session, 
    business_id: int, 
    query_info: Dict[str, Any],
    fiscal_year_id: Optional[int] = None
) -> Dict[str, Any]:
    """دریافت لیست اشخاص با جستجو و فیلتر"""
    query = db.query(Person).filter(Person.business_id == business_id)
    
    # بررسی نیاز به محاسبه تراز قبل از pagination
    # (برای فیلتر یا مرتب‌سازی بر اساس تراز/وضعیت)
    needs_balance_before_pagination = False
    sort_by = query_info.get('sort_by', 'created_at')
    if sort_by in ['balance', 'status']:
        needs_balance_before_pagination = True
    
    # بررسی فیلترها برای balance و status
    if query_info.get('filters'):
        for filter_item in query_info['filters']:
            if isinstance(filter_item, dict):
                field = filter_item.get('property')
            else:
                field = getattr(filter_item, 'property', None)
            if field in ['balance', 'status']:
                needs_balance_before_pagination = True
                break
    
    # اعمال جستجو
    if query_info.get('search') and query_info.get('search_fields'):
        search_term = f"%{query_info['search']}%"
        search_conditions = []
        
        for field in query_info['search_fields']:
            if field == 'code':
                # تبدیل به رشته برای جستجو مانند LIKE
                try:
                    code_int = int(query_info['search'])  # type: ignore[arg-type]
                    search_conditions.append(Person.code == code_int)
                except Exception:
                    pass
            if field == 'alias_name':
                search_conditions.append(Person.alias_name.ilike(search_term))
            elif field == 'first_name':
                search_conditions.append(Person.first_name.ilike(search_term))
            elif field == 'last_name':
                search_conditions.append(Person.last_name.ilike(search_term))
            elif field == 'company_name':
                search_conditions.append(Person.company_name.ilike(search_term))
            elif field == 'mobile':
                search_conditions.append(Person.mobile.ilike(search_term))
            elif field == 'email':
                search_conditions.append(Person.email.ilike(search_term))
            elif field == 'national_id':
                search_conditions.append(Person.national_id.ilike(search_term))
        
        if search_conditions:
            query = query.filter(or_(*search_conditions))
    
    # اعمال فیلترها
    if query_info.get('filters'):
        for filter_item in query_info['filters']:
            # پشتیبانی از هر دو حالت: دیکشنری یا شیء Pydantic
            if isinstance(filter_item, dict):
                field = filter_item.get('property')
                operator = filter_item.get('operator')
                value = filter_item.get('value')
            else:
                field = getattr(filter_item, 'property', None)
                operator = getattr(filter_item, 'operator', None)
                value = getattr(filter_item, 'value', None)

            if not field or not operator:
                continue

            # کد
            if field == 'code':
                if operator == '=':
                    query = query.filter(Person.code == value)
                elif operator == 'in' and isinstance(value, list):
                    query = query.filter(Person.code.in_(value))
                continue

            # انواع شخص چندانتخابی (رشته JSON)
            if field == 'person_types':
                if operator == '=' and isinstance(value, str):
                    query = query.filter(Person.person_types.ilike(f'%"{value}"%'))
                elif operator == 'in' and isinstance(value, list):
                    sub_filters = [Person.person_types.ilike(f'%"{v}"%') for v in value]
                    if sub_filters:
                        query = query.filter(or_(*sub_filters))
                continue

            # فیلترهای متنی عمومی (حمایت از عملگرهای contains/startsWith/endsWith)
            def apply_text_filter(column):
                nonlocal query
                if operator == '=':
                    query = query.filter(column == value)
                elif operator == 'like' or operator == '*':
                    query = query.filter(column.ilike(f"%{value}%"))
                elif operator == '*?':  # starts with
                    query = query.filter(column.ilike(f"{value}%"))
                elif operator == '?*':  # ends with
                    query = query.filter(column.ilike(f"%{value}"))

            if field == 'country':
                apply_text_filter(Person.country)
                continue

            if field == 'province':
                apply_text_filter(Person.province)
                continue

            if field == 'alias_name':
                apply_text_filter(Person.alias_name)
                continue

            if field == 'first_name':
                apply_text_filter(Person.first_name)
                continue

            if field == 'last_name':
                apply_text_filter(Person.last_name)
                continue

            if field == 'company_name':
                apply_text_filter(Person.company_name)
                continue

            if field == 'mobile':
                apply_text_filter(Person.mobile)
                continue

            if field == 'email':
                apply_text_filter(Person.email)
                continue

            if field == 'national_id':
                apply_text_filter(Person.national_id)
                continue

            if field == 'registration_number':
                apply_text_filter(Person.registration_number)
                continue

            if field == 'economic_id':
                apply_text_filter(Person.economic_id)
                continue

            if field == 'city':
                apply_text_filter(Person.city)
                continue

            if field == 'address':
                apply_text_filter(Person.address)
                continue
    
    # شمارش کل رکوردها
    total = query.count()
    
    # اعمال مرتب‌سازی (فقط برای فیلدهای دیتابیس)
    sort_desc = query_info.get('sort_desc', True)
    
    if sort_by not in ['balance', 'status']:
        # مرتب‌سازی در دیتابیس
        if sort_by == 'code':
            query = query.order_by(Person.code.desc() if sort_desc else Person.code.asc())
        elif sort_by == 'alias_name':
            query = query.order_by(Person.alias_name.desc() if sort_desc else Person.alias_name.asc())
        elif sort_by == 'first_name':
            query = query.order_by(Person.first_name.desc() if sort_desc else Person.first_name.asc())
        elif sort_by == 'last_name':
            query = query.order_by(Person.last_name.desc() if sort_desc else Person.last_name.asc())
        elif sort_by == 'created_at':
            query = query.order_by(Person.created_at.desc() if sort_desc else Person.created_at.asc())
        elif sort_by == 'updated_at':
            query = query.order_by(Person.updated_at.desc() if sort_desc else Person.updated_at.asc())
        else:
            query = query.order_by(Person.created_at.desc())
    
    skip = query_info.get('skip', 0)
    take = query_info.get('take', 20)
    
    # اگر نیاز به محاسبه تراز قبل از pagination است
    if needs_balance_before_pagination:
        # دریافت همه persons
        all_persons = query.all()
        
        # تبدیل به دیکشنری و محاسبه تراز
        all_items = []
        person_ids = [p.id for p in all_persons]
        balances = calculate_persons_balances_bulk(db, person_ids, fiscal_year_id)
        
        for person in all_persons:
            item = _person_to_dict(person)
            balance, status = balances.get(person.id, (0.0, "بدون تراکنش"))
            item['balance'] = balance
            item['status'] = status
            all_items.append(item)
        
        # اعمال فیلتر balance و status
        if query_info.get('filters'):
            for filter_item in query_info['filters']:
                if isinstance(filter_item, dict):
                    field = filter_item.get('property')
                    operator = filter_item.get('operator')
                    value = filter_item.get('value')
                else:
                    field = getattr(filter_item, 'property', None)
                    operator = getattr(filter_item, 'operator', None)
                    value = getattr(filter_item, 'value', None)
                
                if field == 'balance':
                    if operator == '=':
                        all_items = [item for item in all_items if item['balance'] == value]
                    elif operator == '>':
                        all_items = [item for item in all_items if item['balance'] > value]
                    elif operator == '>=':
                        all_items = [item for item in all_items if item['balance'] >= value]
                    elif operator == '<':
                        all_items = [item for item in all_items if item['balance'] < value]
                    elif operator == '<=':
                        all_items = [item for item in all_items if item['balance'] <= value]
                elif field == 'status':
                    if operator == '=' and isinstance(value, str):
                        all_items = [item for item in all_items if item['status'] == value]
                    elif operator == 'in' and isinstance(value, list):
                        all_items = [item for item in all_items if item['status'] in value]
        
        # مرتب‌سازی
        if sort_by == 'balance':
            all_items.sort(key=lambda x: x['balance'], reverse=sort_desc)
        elif sort_by == 'status':
            all_items.sort(key=lambda x: x['status'], reverse=sort_desc)
        
        # محاسبه total بعد از فیلتر
        total = len(all_items)
        
        # اعمال pagination
        items = all_items[skip:skip + take]
    else:
        # روش معمولی: ابتدا pagination، سپس محاسبه تراز
        persons = query.offset(skip).limit(take).all()
        
        # تبدیل به دیکشنری
        items = [_person_to_dict(person) for person in persons]
        
        # محاسبه تراز برای persons فعلی
        person_ids = [p.id for p in persons]
        balances = calculate_persons_balances_bulk(db, person_ids, fiscal_year_id)
        
        for item in items:
            person_id = item['id']
            balance, status = balances.get(person_id, (0.0, "بدون تراکنش"))
            item['balance'] = balance
            item['status'] = status
    
    # محاسبه اطلاعات صفحه‌بندی
    total_pages = (total + take - 1) // take if take > 0 else 0
    current_page = (skip // take) + 1 if take > 0 else 1
    
    pagination = {
        'total': total,
        'page': current_page,
        'per_page': take,
        'total_pages': total_pages,
        'has_next': current_page < total_pages,
        'has_prev': current_page > 1
    }
    
    return {
        'items': items,
        'pagination': pagination,
        'query_info': query_info
    }


def update_person(
    db: Session, 
    person_id: int, 
    business_id: int, 
    person_data: PersonUpdateRequest
) -> Optional[Dict[str, Any]]:
    """ویرایش شخص"""
    person = db.query(Person).filter(
        and_(Person.id == person_id, Person.business_id == business_id)
    ).first()
    
    if not person:
        return None
    
    # به‌روزرسانی فیلدها
    update_data = person_data.dict(exclude_unset=True)

    # مدیریت کد یکتا
    if 'code' in update_data and update_data['code'] is not None:
        desired_code = update_data['code']
        exists = db.query(Person).filter(
            and_(Person.business_id == business_id, Person.code == desired_code, Person.id != person_id)
        ).first()
        if exists:
            raise ValueError("کد شخص تکراری است")
        person.code = desired_code

    # مدیریت انواع شخص چندگانه
    types_list: Optional[List[str]] = None
    if 'person_types' in update_data and update_data['person_types'] is not None:
        incoming = update_data['person_types'] or []
        types_list = [t.value if hasattr(t, 'value') else str(t) for t in incoming]
        person.person_types = json.dumps(types_list, ensure_ascii=False) if types_list else None
        # همگام کردن person_type تکی برای سازگاری
        # person_type handling removed - only person_types is used now

    # اگر شخص سهامدار شد، share_count معتبر باشد
    resulting_types: List[str] = []
    if person.person_types:
        try:
            tmp = json.loads(person.person_types)
            if isinstance(tmp, list):
                resulting_types = [str(x) for x in tmp]
        except Exception:
            resulting_types = []
    if 'سهامدار' in resulting_types:
        sc_val2 = update_data.get('share_count', person.share_count)
        if sc_val2 is None or (isinstance(sc_val2, int) and sc_val2 <= 0):
            raise ApiError("INVALID_SHARE_COUNT", "برای سهامدار، تعداد سهام الزامی و باید بزرگتر از صفر باشد", http_status=400)

    # سایر فیلدها
    for field in list(update_data.keys()):
        if field in {'code', 'person_types'}:
            continue
        setattr(person, field, update_data[field])
    
    db.commit()
    db.refresh(person)
    
    return success_response(
        message="شخص با موفقیت ویرایش شد",
        data=_person_to_dict(person)
    )


def delete_person(db: Session, person_id: int, business_id: int) -> bool:
    """حذف شخص"""
    person = db.query(Person).filter(
        and_(Person.id == person_id, Person.business_id == business_id)
    ).first()
    
    if not person:
        return False
    
    db.delete(person)
    db.commit()
    
    return True


def get_person_summary(db: Session, business_id: int) -> Dict[str, Any]:
    """دریافت خلاصه اشخاص"""
    # تعداد کل اشخاص
    total_persons = db.query(Person).filter(Person.business_id == business_id).count()
    
    # حذف مفهوم فعال/غیرفعال
    active_persons = 0
    inactive_persons = total_persons
    
    # تعداد بر اساس نوع
    by_type = {}
    for person_type in PersonType:
        count = db.query(Person).filter(
            and_(Person.business_id == business_id, Person.person_types.ilike(f'%"{person_type.value}"%'))
        ).count()
        by_type[person_type.value] = count
    
    return {
        'total_persons': total_persons,
        'by_type': by_type,
        'active_persons': active_persons,
        'inactive_persons': inactive_persons
    }


def _person_to_dict(person: Person) -> Dict[str, Any]:
    """تبدیل مدل Person به دیکشنری"""
    # Parse person_types JSON to list
    types_list: List[str] = []
    if person.person_types:
        try:
            types = json.loads(person.person_types)
            if isinstance(types, list):
                types_list = [str(x) for x in types]
        except Exception:
            types_list = []

    return {
        'id': person.id,
        'business_id': person.business_id,
        'code': person.code,
        'alias_name': person.alias_name,
        'first_name': person.first_name,
        'last_name': person.last_name,
        'person_types': types_list,
        'company_name': person.company_name,
        'payment_id': person.payment_id,
        'share_count': person.share_count,
        'commission_sale_percent': float(person.commission_sale_percent) if getattr(person, 'commission_sale_percent', None) is not None else None,
        'commission_sales_return_percent': float(person.commission_sales_return_percent) if getattr(person, 'commission_sales_return_percent', None) is not None else None,
        'commission_sales_amount': float(person.commission_sales_amount) if getattr(person, 'commission_sales_amount', None) is not None else None,
        'commission_sales_return_amount': float(person.commission_sales_return_amount) if getattr(person, 'commission_sales_return_amount', None) is not None else None,
        'commission_exclude_discounts': bool(person.commission_exclude_discounts),
        'commission_exclude_additions_deductions': bool(person.commission_exclude_additions_deductions),
        'commission_post_in_invoice_document': bool(person.commission_post_in_invoice_document),
        'national_id': person.national_id,
        'registration_number': person.registration_number,
        'economic_id': person.economic_id,
        'country': person.country,
        'province': person.province,
        'city': person.city,
        'address': person.address,
        'postal_code': person.postal_code,
        'phone': person.phone,
        'mobile': person.mobile,
        'fax': person.fax,
        'email': person.email,
        'website': person.website,
        'created_at': person.created_at.isoformat(),
        'updated_at': person.updated_at.isoformat(),
        'bank_accounts': [
            {
                'id': ba.id,
                'person_id': ba.person_id,
                'bank_name': ba.bank_name,
                'account_number': ba.account_number,
                'card_number': ba.card_number,
                'sheba_number': ba.sheba_number,
                'created_at': ba.created_at.isoformat(),
                'updated_at': ba.updated_at.isoformat(),
            }
            for ba in person.bank_accounts
        ]
    }


def search_persons(db: Session, business_id: int, search_query: Optional[str] = None, 
                  page: int = 1, limit: int = 20) -> List[Person]:
    """جست‌وجو در اشخاص"""
    query = db.query(Person).filter(Person.business_id == business_id)
    
    if search_query:
        # جست‌وجو در نام، نام خانوادگی، نام مستعار، کد، تلفن و ایمیل
        search_filter = or_(
            Person.alias_name.ilike(f"%{search_query}%"),
            Person.first_name.ilike(f"%{search_query}%"),
            Person.last_name.ilike(f"%{search_query}%"),
            Person.company_name.ilike(f"%{search_query}%"),
            Person.phone.ilike(f"%{search_query}%"),
            Person.mobile.ilike(f"%{search_query}%"),
            Person.email.ilike(f"%{search_query}%"),
            Person.code == int(search_query) if search_query.isdigit() else False
        )
        query = query.filter(search_filter)
    
    # مرتب‌سازی بر اساس نام مستعار
    query = query.order_by(Person.alias_name)
    
    # صفحه‌بندی
    offset = (page - 1) * limit
    return query.offset(offset).limit(limit).all()


def count_persons(db: Session, business_id: int, search_query: Optional[str] = None) -> int:
    """شمارش تعداد اشخاص"""
    query = db.query(Person).filter(Person.business_id == business_id)
    
    if search_query:
        # جست‌وجو در نام، نام خانوادگی، نام مستعار، کد، تلفن و ایمیل
        search_filter = or_(
            Person.alias_name.ilike(f"%{search_query}%"),
            Person.first_name.ilike(f"%{search_query}%"),
            Person.last_name.ilike(f"%{search_query}%"),
            Person.company_name.ilike(f"%{search_query}%"),
            Person.phone.ilike(f"%{search_query}%"),
            Person.mobile.ilike(f"%{search_query}%"),
            Person.email.ilike(f"%{search_query}%"),
            Person.code == int(search_query) if search_query.isdigit() else False
        )
        query = query.filter(search_filter)
    
    return query.count()


def calculate_person_balance(
    db: Session, 
    person_id: int, 
    fiscal_year_id: Optional[int] = None
) -> tuple[float, str]:
    """
    محاسبه تراز و وضعیت مالی یک شخص
    
    Args:
        db: نشست پایگاه داده
        person_id: شناسه شخص
        fiscal_year_id: شناسه سال مالی (اختیاری)
    
    Returns:
        tuple: (تراز, وضعیت)
        - تراز: credit - debit
        - وضعیت: "بستانکار" | "بدهکار" | "بالانس" | "بدون تراکنش"
    """
    # Query برای محاسبه مجموع بستانکار و بدهکار
    query = db.query(
        func.coalesce(func.sum(DocumentLine.credit), 0).label('total_credit'),
        func.coalesce(func.sum(DocumentLine.debit), 0).label('total_debit')
    ).join(
        Document, DocumentLine.document_id == Document.id
    ).filter(
        DocumentLine.person_id == person_id,
        Document.is_proforma == False  # فقط اسناد قطعی
    )
    
    # اعمال فیلتر سال مالی
    if fiscal_year_id:
        query = query.filter(Document.fiscal_year_id == fiscal_year_id)
    
    result = query.first()
    
    if result is None:
        return 0.0, "بدون تراکنش"
    
    total_credit = float(result.total_credit or 0)
    total_debit = float(result.total_debit or 0)
    
    # محاسبه تراز: بستانکار - بدهکار
    balance = total_credit - total_debit
    
    # تعیین وضعیت
    if total_credit == 0 and total_debit == 0:
        status = "بدون تراکنش"
    elif balance > 0:
        status = "بستانکار"
    elif balance < 0:
        status = "بدهکار"
    else:  # balance == 0
        status = "بالانس"
    
    return balance, status


def calculate_persons_balances_bulk(
    db: Session, 
    person_ids: List[int], 
    fiscal_year_id: Optional[int] = None
) -> Dict[int, tuple[float, str]]:
    """
    محاسبه تراز و وضعیت چندین شخص به صورت دسته‌جمعی
    
    Args:
        db: نشست پایگاه داده
        person_ids: لیست شناسه‌های اشخاص
        fiscal_year_id: شناسه سال مالی (اختیاری)
    
    Returns:
        dict: {person_id: (balance, status)}
    """
    if not person_ids:
        return {}
    
    # Query برای محاسبه مجموع بستانکار و بدهکار برای هر شخص
    query = db.query(
        DocumentLine.person_id,
        func.coalesce(func.sum(DocumentLine.credit), 0).label('total_credit'),
        func.coalesce(func.sum(DocumentLine.debit), 0).label('total_debit')
    ).join(
        Document, DocumentLine.document_id == Document.id
    ).filter(
        DocumentLine.person_id.in_(person_ids),
        Document.is_proforma == False  # فقط اسناد قطعی
    )
    
    # اعمال فیلتر سال مالی
    if fiscal_year_id:
        query = query.filter(Document.fiscal_year_id == fiscal_year_id)
    
    # Group by person_id
    query = query.group_by(DocumentLine.person_id)
    
    results = query.all()
    
    # ساخت دیکشنری نتایج
    balances: Dict[int, tuple[float, str]] = {}
    
    # ابتدا همه را به "بدون تراکنش" تنظیم می‌کنیم
    for person_id in person_ids:
        balances[person_id] = (0.0, "بدون تراکنش")
    
    # سپس نتایج واقعی را اعمال می‌کنیم
    for result in results:
        person_id = result.person_id
        total_credit = float(result.total_credit or 0)
        total_debit = float(result.total_debit or 0)
        
        # محاسبه تراز
        balance = total_credit - total_debit
        
        # تعیین وضعیت
        if balance > 0:
            status = "بستانکار"
        elif balance < 0:
            status = "بدهکار"
        else:  # balance == 0
            status = "بالانس"
        
        balances[person_id] = (balance, status)
    
    return balances