初始化项目

2026-06-02 17:46:38 +08:00
commit 646a4d02c0
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+"""
+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))