from datetime import datetime, timedelta
from typing import List, Optional
import random

from fastapi import APIRouter, Depends
from pydantic import BaseModel, Field, conint, confloat, validator
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

from app.services.db import get_async_session
from app.services.user_service import current_active_user
from app.models.user import User
from app.models.transaction import Transaction
from app.models.categories import Category
from app.schemas.transaction import TransactionRead

router = APIRouter(prefix="/mock-bank", tags=["mock-bank"])


class GenerateOptions(BaseModel):
    count: conint(strict=True, gt=0) = Field(default=10, description="Number of transactions to generate")
    minAmount: confloat(strict=True) = Field(default=-200.0, description="Minimum transaction amount")
    maxAmount: confloat(strict=True) = Field(default=200.0, description="Maximum transaction amount")
    startDate: Optional[str] = Field(None, description="Earliest date (YYYY-MM-DD)")
    endDate: Optional[str] = Field(None, description="Latest date (YYYY-MM-DD)")
    categoryIds: List[int] = Field(default_factory=list, description="Optional category IDs to assign randomly")

    @validator("maxAmount")
    def _validate_amounts(cls, v, values):
        min_amt = values.get("minAmount")
        if min_amt is not None and v < min_amt:
            raise ValueError("maxAmount must be greater than or equal to minAmount")
        return v

    @validator("endDate")
    def _validate_dates(cls, v, values):
        sd = values.get("startDate")
        if v and sd:
            try:
                ed = datetime.strptime(v, "%Y-%m-%d").date()
                st = datetime.strptime(sd, "%Y-%m-%d").date()
            except ValueError:
                raise ValueError("Invalid date format, expected YYYY-MM-DD")
            if ed < st:
                raise ValueError("endDate must be greater than or equal to startDate")
        return v


class GeneratedTransaction(BaseModel):
    amount: float
    date: str  # YYYY-MM-DD
    category_ids: List[int] = []
    description: Optional[str] = None


@router.post("/generate", response_model=List[GeneratedTransaction])
async def generate_mock_transactions(
        options: GenerateOptions,
        user: User = Depends(current_active_user),
):
    # Seed randomness per user to make results less erratic across multiple calls in quick succession
    seed = int(datetime.utcnow().timestamp()) ^ int(user.id)
    rnd = random.Random(seed)

    # Determine date range
    if options.startDate:
        start_date = datetime.strptime(options.startDate, "%Y-%m-%d").date()
    else:
        start_date = (datetime.utcnow() - timedelta(days=365)).date()
    if options.endDate:
        end_date = datetime.strptime(options.endDate, "%Y-%m-%d").date()
    else:
        end_date = datetime.utcnow().date()

    span_days = max(0, (end_date - start_date).days)

    results: List[GeneratedTransaction] = []
    for _ in range(options.count):
        amount = round(rnd.uniform(options.minAmount, options.maxAmount), 2)
        # Pick a random date in the inclusive range
        rand_day = rnd.randint(0, span_days) if span_days > 0 else 0
        tx_date = start_date + timedelta(days=rand_day)
        # Pick category randomly from provided list, or empty
        if options.categoryIds:
            cat = [rnd.choice(options.categoryIds)]
        else:
            cat = []
        # Optional simple description for flavor
        desc = None
        # Assemble
        results.append(GeneratedTransaction(
            amount=amount,
            date=tx_date.isoformat(),
            category_ids=cat,
            description=desc,
        ))

    return results


@router.get("/scrape")
async def scrape_mock_bank():
    # 80% of the time: nothing to scrape
    if random.random() < 0.8:
        return []

    transactions = []
    count = random.randint(1, 10)
    for _ in range(count):
        transactions.append({
            "amount": round(random.uniform(-200.0, 200.0), 2),
            "date": (datetime.utcnow().date() - timedelta(days=random.randint(0, 30))).isoformat(),
            "description": "Mock transaction",
        })

    return transactions