430 lines
18 KiB
Python
430 lines
18 KiB
Python
import asyncio
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import uuid
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import os
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import sys
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import json
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import time
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from datetime import datetime
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from Apps.YeLiTe.Kit import take_screenshot, clean_station_name, get_image_content_md5, detect_price_info_container_cv, setup_logger, get_name_md5
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from Apps.YeLiTe.ReadImageKit import ReadImageKit
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from Apps.YeLiTe.FirstPageKit import run_ocr_rect
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from Apps.YeLiTe.Service import YeLiTeService
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from Apps.YeLiTe.Config.Setting import (
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SCROLL_DISTANCE_RATIO, WAIT_AFTER_SCROLL, MAX_STATIONS_COUNT,
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WAIT_DETAIL_PAGE_LOAD, WAIT_BACK_TO_LIST, TEST_CLEAR_REDIS,
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SAFE_EXCLUDE_RATIO, BOTTOM_SAFE_EXCLUDE_RATIO,
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FIRST_RUN_ONLY_ONE_STATION
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)
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from Util.RedisKit import RedisKit
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from Core.BaseCrawler import BaseCrawler
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import uiautomator2 as u2
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# 项目根目录处理
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project_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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if project_root not in sys.path:
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sys.path.append(project_root)
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logger = setup_logger("YeLiTeCrawler")
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class YeLiTeCrawler(BaseCrawler):
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def __init__(self, service=None):
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super().__init__(service or YeLiTeService())
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self.redis_kit = RedisKit()
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self.read_image_kit = ReadImageKit()
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async def start(self):
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"""
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实现 BaseCrawler 的启动入口
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"""
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await main(self.service)
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async def open_app(self):
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"""
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打开驿来特小程序
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"""
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from Apps.YeLiTe import Opener
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return await Opener.open_mini_program()
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async def crawl_list(self):
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"""
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开始爬取列表页
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"""
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d = u2.connect()
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return await self.crawl_list_logic(d)
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async def crawl_detail(self, station_info):
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"""
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爬取详情页 (BaseCrawler 要求，此处逻辑已集成在 crawl_list_logic 中)
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"""
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pass
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async def clean_redis_data(self):
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"""
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清除测试用的 Redis 记录
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"""
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if TEST_CLEAR_REDIS:
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logger.info("清理 Redis 中的场站处理记录...")
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pattern = "crawled:ylt:*"
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keys = await self.redis_kit.keys(pattern)
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if keys:
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await self.redis_kit.delete(*keys)
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async def crawl_list_logic(self, d):
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w, h = d.window_size()
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max_to_crawl = 1 if FIRST_RUN_ONLY_ONE_STATION else MAX_STATIONS_COUNT
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processed_count = 0
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no_new_data_count = 0
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last_md5 = None
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background_tasks = []
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while processed_count < max_to_crawl:
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screenshot_path = take_screenshot(d, f"list_{int(time.time())}.jpg")
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curr_md5 = get_image_content_md5(screenshot_path, top_ratio=SAFE_EXCLUDE_RATIO, bottom_ratio=BOTTOM_SAFE_EXCLUDE_RATIO)
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if last_md5 == curr_md5:
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logger.info("内容无变化，判定已到底部")
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if os.path.exists(screenshot_path):
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os.remove(screenshot_path)
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break
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last_md5 = curr_md5
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stations_page = await run_ocr_rect(screenshot_path)
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if not stations_page:
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no_new_data_count += 1
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if no_new_data_count >= 5:
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logger.info("连续 5 页无新数据，停止")
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break
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d.swipe_ext("up", scale=SCROLL_DISTANCE_RATIO)
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await asyncio.sleep(WAIT_AFTER_SCROLL)
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continue
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no_new_data_count = 0
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new_stations_in_page = 0
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for st in stations_page:
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if processed_count >= max_to_crawl:
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break
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name = st.get("station_name") or st.get("name")
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rect = st.get("rect") or []
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click_point = st.get("click_point") or st.get("click") or []
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distance = st.get("distance_text") or st.get("distance")
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piles = st.get("busy_list") or []
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if not name or not isinstance(rect, (list, tuple)) or len(rect) < 4:
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continue
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if not isinstance(click_point, (list, tuple)) or len(click_point) < 2:
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continue
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point = [int(click_point[0]), int(click_point[1])]
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redis_key = f"crawled:ylt:{clean_station_name(name)}"
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if await self.redis_kit.get_data(redis_key):
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logger.info(f"场站 {name} 已处理过，跳过")
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continue
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current_idx = processed_count + 1
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remaining = max_to_crawl - current_idx
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logger.info(f"--- [进度: {current_idx}/{max_to_crawl}, 剩余: {remaining}] 发现新场站: {name} (坐标: {point}, 距离: {distance}) ---")
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file_tag = get_name_md5(name)
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before_click_path = take_screenshot(d, f"before_{file_tag}")
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before_md5 = get_image_content_md5(before_click_path, top_ratio=SAFE_EXCLUDE_RATIO, bottom_ratio=BOTTOM_SAFE_EXCLUDE_RATIO)
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await asyncio.sleep(0.5)
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d.shell(f"input tap {int(point[0])} {int(point[1])}")
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await asyncio.sleep(WAIT_DETAIL_PAGE_LOAD)
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# 分析详情页 (采用异步后台模式)
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detail_shot = take_screenshot(d, f"detail_{file_tag}_{int(time.time())}")
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after_md5 = get_image_content_md5(detail_shot, top_ratio=SAFE_EXCLUDE_RATIO, bottom_ratio=BOTTOM_SAFE_EXCLUDE_RATIO)
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# 清理临时对比图
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if os.path.exists(before_click_path): os.remove(before_click_path)
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if before_md5 == after_md5:
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logger.warning(f"首次点击 {name} 未跳转，尝试稍微偏移位置重试...")
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# 尝试向下偏移 20px 点击
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offset_y = point[1] + 20
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d.shell(f"input tap {int(point[0])} {int(offset_y)}")
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await asyncio.sleep(WAIT_DETAIL_PAGE_LOAD)
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# 再次截图检查
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if os.path.exists(detail_shot): os.remove(detail_shot)
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detail_shot = take_screenshot(d, f"detail_{file_tag}_{int(time.time())}")
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after_md5 = get_image_content_md5(detail_shot, top_ratio=SAFE_EXCLUDE_RATIO, bottom_ratio=BOTTOM_SAFE_EXCLUDE_RATIO)
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if before_md5 != after_md5:
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logger.info(f"成功进入详情页: {name}")
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total_piles = None
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free_piles = None
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piles_detail = None
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address_detail = None
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parking_info = None
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if isinstance(piles, list):
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total_sum = 0
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free_sum = 0
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for p in piles:
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if not isinstance(p, dict):
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continue
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t = p.get("total")
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f = p.get("idle")
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try:
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if t is not None:
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total_sum += int(t)
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except Exception:
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pass
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try:
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if f is not None:
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free_sum += int(f)
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except Exception:
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pass
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if total_sum > 0:
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total_piles = total_sum
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free_piles = free_sum
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piles_detail = piles
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try:
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basic_info = await self.read_image_kit.analyze_detail_basic_info(detail_shot)
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if isinstance(basic_info, dict):
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addr = basic_info.get("address")
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if addr:
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address_detail = addr
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park = basic_info.get("parking_info")
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if park:
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parking_info = park
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except Exception as e:
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logger.warning(f"详情页基础信息识别失败: {e}")
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# --- 新增：点击“阶段性电价”按钮以获取完整电价列表 ---
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# 使用 OCR 探测价格入口
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dqdf_pos = detect_price_info_container_cv(detail_shot)
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detail_shots = []
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if dqdf_pos:
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logger.info(f"发现价格入口按钮 (阶段性电价/当前电费) {dqdf_pos}，点击进入...")
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d.click(dqdf_pos[0], dqdf_pos[1])
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await asyncio.sleep(0.5)
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if os.path.exists(detail_shot): os.remove(detail_shot)
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scroll_x = int(w * 0.5)
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scroll_top_y = int(h * 0.5)
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scroll_bottom_y = int(h * 0.8)
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logger.info("正在向上滚动价格列表到顶部 (快速多次滚动以尽快看到 00:00)...")
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max_scroll_up_to_top = 10
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for i in range(max_scroll_up_to_top):
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before_scroll_path = take_screenshot(d, f"scroll_up_{i}")
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before_scroll_md5 = get_image_content_md5(before_scroll_path)
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d.swipe(scroll_x, scroll_top_y, scroll_x, scroll_bottom_y, 0.2)
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await asyncio.sleep(0.3)
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after_scroll_path = take_screenshot(d, f"scroll_up_after_{i}")
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after_scroll_md5 = get_image_content_md5(after_scroll_path)
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if os.path.exists(before_scroll_path): os.remove(before_scroll_path)
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if os.path.exists(after_scroll_path): os.remove(after_scroll_path)
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if before_scroll_md5 == after_scroll_md5:
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logger.info(f"价格列表已到达顶部 (滚动次数: {i})")
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break
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logger.info("正在从顶部开始向下逐页截图...")
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max_scroll_down_pages = 10
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for p_idx in range(1, max_scroll_down_pages + 1):
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p_shot = take_screenshot(d, f"detail_price_{file_tag}_{int(time.time())}_{p_idx}")
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before_dn_md5 = get_image_content_md5(p_shot)
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d.swipe(scroll_x, scroll_bottom_y, scroll_x, scroll_top_y, 0.2)
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await asyncio.sleep(0.3)
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check_dn_shot = take_screenshot(d, f"check_dn_{p_idx}")
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after_dn_md5 = get_image_content_md5(check_dn_shot)
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if os.path.exists(check_dn_shot): os.remove(check_dn_shot)
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detail_shots.append(p_shot)
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if before_dn_md5 == after_dn_md5:
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logger.info(f"价格列表已到达底部 (共抓取页数: {p_idx})")
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break
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# 关闭分时段定价列表 (点击屏幕最顶部空白处)
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logger.info("点击屏幕上部空白处以关闭定价列表...")
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d.click(w * 0.5, h * 0.1)
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await asyncio.sleep(1.0)
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else:
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logger.info("未发现价格入口按钮 (阶段性电价/当前电费)，直接分析当前页")
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detail_shots.append(detail_shot)
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# --------------------------------------------------
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# 启动后台任务处理详情页
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task = asyncio.create_task(
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self.analyze_detail_background(
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name,
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detail_shots,
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address=address_detail,
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distance=distance,
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total_piles=total_piles,
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free_piles=free_piles,
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piles_detail=piles_detail,
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parking_info=parking_info,
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)
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)
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background_tasks.append(task)
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processed_count += 1
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new_stations_in_page += 1
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await self.redis_kit.set_data(redis_key, "1", expire=86400*7)
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# 返回列表页 (现在应该已经回到了详情页主界面)
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d.press("back")
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await asyncio.sleep(WAIT_BACK_TO_LIST)
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# 再次检查是否回到了列表页，如果没回，再点一次 back
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after_back_shot = take_screenshot(d, "check_back")
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after_back_md5 = get_image_content_md5(after_back_shot, top_ratio=SAFE_EXCLUDE_RATIO, bottom_ratio=BOTTOM_SAFE_EXCLUDE_RATIO)
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if os.path.exists(after_back_shot): os.remove(after_back_shot)
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if after_back_md5 == after_md5: # 还在详情页/电费页
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logger.info("似乎还在二级页面，尝试再次返回...")
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d.press("back")
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await asyncio.sleep(WAIT_BACK_TO_LIST)
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if FIRST_RUN_ONLY_ONE_STATION:
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logger.info("已完成首个场站的全流程采集，根据配置退出驿来特爬取任务。")
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return processed_count
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else:
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logger.warning(f"点击场站 {name} 后页面似乎未跳转，跳过返回操作")
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if os.path.exists(detail_shot): os.remove(detail_shot)
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# 即使没进去，也记录一下，避免短时间内重复尝试
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await self.redis_kit.set_data(redis_key, "1", expire=3600)
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if new_stations_in_page == 0 and stations_page:
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no_new_data_count += 1
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if no_new_data_count >= 5:
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logger.info("连续 5 页均无新场站，停止")
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break
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else:
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no_new_data_count = 0
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# 滑动翻页
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d.swipe_ext("up", scale=SCROLL_DISTANCE_RATIO)
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await asyncio.sleep(WAIT_AFTER_SCROLL)
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# 等待后台任务完成
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if background_tasks:
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logger.info(f"等待 {len(background_tasks)} 个后台分析任务完成...")
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await asyncio.gather(*background_tasks, return_exceptions=True)
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return processed_count
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async def analyze_detail_background(
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self,
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station_name,
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image_paths,
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address=None,
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distance=None,
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total_piles=None,
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free_piles=None,
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piles_detail=None,
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parking_info=None,
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):
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"""
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后台异步分析详情页 (支持多张截图合并)
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"""
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try:
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if isinstance(image_paths, str):
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image_paths = [image_paths]
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logger.info(f"开始后台分析场站: {station_name} (图片数: {len(image_paths)})")
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all_prices = []
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for img_path in image_paths:
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prices = await self.read_image_kit.analyze_detail_price(img_path)
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if prices:
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all_prices.extend(prices)
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# 去重合并
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unique_prices = []
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seen_periods = set()
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for p in all_prices:
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start = str(p.get('start', '')).strip()
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end = str(p.get('end', '')).strip()
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if not start or not end:
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continue
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key = f"{start}-{end}"
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if key not in seen_periods:
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seen_periods.add(key)
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unique_prices.append(p)
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# 按开始时间排序
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unique_prices.sort(key=lambda x: x.get('start', '00:00'))
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if unique_prices:
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await self.service.process_price_detail_data(
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station_name,
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unique_prices,
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address=address,
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distance=distance,
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total_piles=total_piles,
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free_piles=free_piles,
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piles_detail=piles_detail,
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parking_info=parking_info,
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)
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logger.info(f"场站 {station_name} 价格分析完成并入库 (记录数: {len(unique_prices)}, 地址: {address}, 距离: {distance})")
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else:
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logger.warning(f"场站 {station_name} 未识别到价格信息")
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except Exception as e:
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logger.error(f"后台分析 {station_name} 失败: {e}")
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finally:
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# 调试阶段暂时不删除截图，方便排查 VLM 识别失败原因
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pass
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# if isinstance(image_paths, list):
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# for p in image_paths:
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# if os.path.exists(p): os.remove(p)
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# elif isinstance(image_paths, str) and os.path.exists(image_paths):
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# os.remove(image_paths)
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async def main(service=None):
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if service is None:
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service = YeLiTeService()
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await service.init_db()
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crawler = YeLiTeCrawler(service)
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d = u2.connect()
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# 清理 Redis
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await crawler.clean_redis_data()
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# 记录任务日志
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task_id = str(uuid.uuid4())
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await service.log_task_start(task_id)
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total_count = 0
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status = "success"
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error_msg = None
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try:
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total_count = await crawler.crawl_list_logic(d)
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except Exception as e:
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logger.error(f"主流程执行失败: {e}")
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status = "failed"
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error_msg = str(e)
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finally:
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await service.log_task_end(task_id, total_count, status, error_msg)
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# 如果是内部初始化的 service，则关闭
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if service and not isinstance(service, YeLiTeService):
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await service.close_db()
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async def get_image_md5_async(path):
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return get_image_md5(path)
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if __name__ == "__main__":
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asyncio.run(main())
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