"""
数据抓取模块。
"""
import asyncio
from typing import Optional, Union

from sqlalchemy import select, desc

import dock
from dock.govs import govs_scrape_order_master, govs_scrape_order_detail, govs_scrape_order_process
from models.govs_order_master import GovsOrderMaster
from paste.core.logging import echo_log
from paste.web import requests


async def fetch_govs_task(dept_page_tag: int = 1, num_per_page: int = 60, task_id: Optional[Union[str, int]] = None):
    """
    抓取待办数据及其明细数据。

    :param num_per_page: 读取多少任务进行明细抓取
    :param dept_page_tag: 0代表全部工单，1代表待签收工单，2代表待交办工单
    :param task_id: 可选的指定的工单id
    """
    echo_log(f"开始抓取待办数据...")
    task_request = await govs_scrape_order_master.get_task_request(
        dept_page_tag=dept_page_tag, num_per_page=num_per_page
    )
    request_queue = asyncio.Queue()
    await request_queue.put(task_request)
    await requests.async_concurrency(
        request_queue, retry=dock.MAX_RETRY_COUNT,
        after_request=govs_scrape_order_master.after_task_request
    )
    echo_log(f"待办数据抓取完成...")

    # 读取任务数据，以便能对最新数据抓取详细数据
    query = select(
        GovsOrderMaster.id, GovsOrderMaster.order_id, GovsOrderMaster.order_no, GovsOrderMaster.tenant_id,
        GovsOrderMaster.master_id, GovsOrderMaster.area_code
    ).order_by(
        desc(GovsOrderMaster.id)
    )
    # 如果dept_page_tag=1，只抓取待签收的，如果dept_page_tag不是0或者1，只抓取已签收的，针对性抓取特定状态的工单数据
    if dept_page_tag == 1:
        query = query.where(GovsOrderMaster.govs_sign == 0)
    elif dept_page_tag != 0:
        query = query.where(GovsOrderMaster.govs_sign == 1)
    if task_id:
        if isinstance(task_id, list):
            query = query.where(GovsOrderMaster.id.in_(task_id))
            echo_log(f"开始抓取待办列表：{task_id} 的详细数据...")
        else:
            query = query.where(GovsOrderMaster.id == task_id)
            echo_log(f"开始抓取待办：{task_id} 的详细数据...")
    else:
        echo_log(f"开始抓取前 {num_per_page} 条待办的详细数据...")
        query = query.limit(num_per_page)
    task_df = await GovsOrderMaster.query_as_df(query)

    # 构建请求队列
    detail_queue = asyncio.Queue()
    process_queue = asyncio.Queue()
    # 向队列中填充请求对象
    echo_log(f"正在准备请求队列...")
    for _h, _row in task_df.iterrows():
        order_id = _row.get(GovsOrderMaster.order_id.key)
        order_no = _row.get(GovsOrderMaster.order_no.key)
        tenant_id = int(_row.get(GovsOrderMaster.tenant_id.key))
        master_id = int(_row.get(GovsOrderMaster.master_id.key))
        area_code = _row.get(GovsOrderMaster.area_code.key)

        _detail_request = await govs_scrape_order_detail.get_task_request(order_id, master_id, tenant_id)
        setattr(_detail_request, 'order_id', order_id)
        setattr(_detail_request, 'order_no', order_no)
        setattr(_detail_request, 'master_id', master_id)
        setattr(_detail_request, 'tenant_id', tenant_id)
        await detail_queue.put(_detail_request)

        _process_request = await govs_scrape_order_process.get_task_request(
            order_id, order_no, master_id, tenant_id, '1700467981117980074', area_code
        )
        setattr(_process_request, 'order_id', order_id)
        setattr(_process_request, 'order_no', order_no)
        setattr(_process_request, 'master_id', master_id)
        setattr(_process_request, 'tenant_id', tenant_id)
        await process_queue.put(_process_request)

    echo_log(f"抓取待办详细数据...")
    tasks = [
        requests.async_concurrency(
            detail_queue, con_count=dock.CONCURRENCY_COUNT, retry=dock.MAX_RETRY_COUNT,
            after_request=govs_scrape_order_detail.after_task_request
        ),
        requests.async_concurrency(
            process_queue, con_count=dock.CONCURRENCY_COUNT, retry=dock.MAX_RETRY_COUNT,
            after_request=govs_scrape_order_process.after_task_request
        )
    ]
    await asyncio.gather(*tasks)


if __name__ == "__main__":
    from paste.core import aio_pool

    _runner = aio_pool.get_aio_runner()
    _runner(fetch_govs_task(dept_page_tag=1, num_per_page=50))