'commit'

Apps/TeLaiDian/Crawler.py

@@ -208,6 +208,15 @@ class TeLaiDianCrawler(BaseCrawler):
                 remaining = max_to_crawl - current_idx
                 logger.info(f"--- [进度: {current_idx}/{max_to_crawl}, 剩余: {remaining}] 处理场站: {name} (坐标: {point}, 距离: {distance}) ---")
                 
+                # 组装基础场站信息，便于详情页逻辑使用
+                station_info = {
+                    "name": name,
+                    "distance": distance,
+                    "rect": rect,
+                    "click_point": point,
+                    "busy_list": piles,
+                }
+                
                 # 点击进入详情
                 d.click(point[0], point[1])
                 logger.info(f"已点击场站 '{name}'，等待 {WAIT_DETAIL_PAGE_LOAD}s 加载详情页...")
@@ -230,7 +239,7 @@ class TeLaiDianCrawler(BaseCrawler):
                     continue
                 
                 # 爬取详情
-                await self.crawl_detail_logic(d, station)
+                await self.crawl_detail_logic(d, station_info)
                 if os.path.exists(detail_check_path): os.remove(detail_check_path)
                 
                 # 标记为已处理

Apps/TeLaiDian/FirstPageKit.py

@@ -16,6 +16,7 @@ from Util.LlmUtil import get_llm_response
 
 
 logger = setup_logger("TeLaiDian.FirstPageKit")
+TEXT_TOP_RATIO = SAFE_EXCLUDE_RATIO * 0.8
 
 NON_STATION_KEYWORDS = [
     "地图",
@@ -116,21 +117,31 @@ async def run_ocr_rect(image_path, log_path=None):
 
         status = "keep"
         reasons = []
+        txt = text or ""
         if prob < 0.3:
             status = "drop"
             reasons.append("prob<0.3")
-        if not text:
+        if not txt:
             status = "drop"
             reasons.append("empty_text")
-        if cy_norm < SAFE_EXCLUDE_RATIO:
+        has_station_kw = False
+        has_distance_kw = False
+        if txt:
+            if ("充电站" in txt) or ("超快充" in txt) or ("快充" in txt) or ("慢充" in txt):
+                has_station_kw = True
+            if ("km" in txt) or ("m" in txt):
+                has_distance_kw = True
+        if cy_norm < TEXT_TOP_RATIO and not (
+            (has_station_kw and len(txt) >= 4) or has_distance_kw
+        ):
             status = "drop"
             reasons.append("top_safe_zone")
         if cy_norm > (1 - BOTTOM_SAFE_EXCLUDE_RATIO):
             status = "drop"
             reasons.append("bottom_safe_zone")
-        if status == "keep" and text:
+        if status == "keep" and txt:
             for kw in NON_STATION_KEYWORDS:
-                if kw and kw in text:
+                if kw and kw in txt:
                     status = "drop"
                     reasons.append("non_station_keyword")
                     break
@@ -325,10 +336,13 @@ async def run_ocr_rect(image_path, log_path=None):
     prev_y2 = None
     anchor_ratio = 0.15
     for idx, st in enumerate(stations, start=1):
+        name = st.get("station_name")
         py = st["anchor_py"]
-        if py < effective_top:
+        anchor_norm = st.get("anchor_point_norm") or {}
-            log_detail(f"锚点位于顶部保护区，丢弃: {st.get('station_name')} py={py}")
+        try:
-            continue
+            ay = float(anchor_norm.get("y", py / h))
+        except Exception:
+            ay = py / h
         y1 = int(py - box_h * anchor_ratio)
         y2 = y1 + box_h
         if min_gap is not None:
@@ -343,9 +357,6 @@ async def run_ocr_rect(image_path, log_path=None):
         if y2 > h:
             y2 = h
             y1 = y2 - box_h
-        if y1 < effective_top:
-            y1 = effective_top
-            y2 = y1 + box_h
         if y2 > effective_bottom:
             y2 = effective_bottom
             y1 = y2 - box_h
@@ -355,15 +366,13 @@ async def run_ocr_rect(image_path, log_path=None):
             y2 += shift
             if y2 > effective_bottom:
                 if idx == len(stations):
-                    min_h = int(box_h * 0.5)
                     new_y1 = prev_y2 + 1
                     new_y2 = effective_bottom
-                    if new_y2 - new_y1 >= min_h:
+                    if new_y2 <= new_y1:
-                        y1 = new_y1
-                        y2 = new_y2
-                    else:
                         log_detail(f"底部空间不足，丢弃: {st.get('station_name')}")
                         continue
+                    y1 = new_y1
+                    y2 = new_y2
                 else:
                     log_detail(f"避免重叠无法放置，丢弃: {st.get('station_name')}")
                     continue
@@ -391,7 +400,7 @@ async def run_ocr_rect(image_path, log_path=None):
         )
 
     try:
-        draw_rectangles(image_path, rects, click_points)
+        draw_rectangles(image_path, rects, click_points, save_vl=False)
     except Exception as e:
         log_detail(f"绘制调试矩形失败: {e}")
 
@@ -416,8 +425,12 @@ async def run_ocr_rect(image_path, log_path=None):
 async def run_batch_in_dir(image_dir, log_file=None):
     img_files = []
     for name in os.listdir(image_dir):
-        if name.lower().endswith(".jpg") or name.lower().endswith(".png"):
+        lower = name.lower()
-            img_files.append(os.path.join(image_dir, name))
+        if not (lower.endswith(".jpg") or lower.endswith(".png")):
+            continue
+        if "_flag" in lower or "_vl" in lower:
+            continue
+        img_files.append(os.path.join(image_dir, name))
     img_files.sort()
 
     if not img_files:

Apps/TeLaiDian/Kit.py

@@ -93,7 +93,7 @@ def save_image(path, img):
         logger.error(f"Error saving image {path}: {e}")
         return False
 
-def draw_rectangles(image_path, bboxes=None, click_points=None):
+def draw_rectangles(image_path, bboxes=None, click_points=None, save_vl=True):
     """
     使用 OpenCV 在图片上绘制矩形框和点击点，生成 _vl.jpg 和 _flag.jpg
     - _vl.jpg: 仅包含矩形框，供视觉模型参考
@@ -108,18 +108,18 @@ def draw_rectangles(image_path, bboxes=None, click_points=None):
         if img is None:
             return image_path
             
-        # 1. 先绘制矩形框 (VL 版)
+        base_img = img.copy()
-        vl_img = img.copy()
+        if bboxes:
-        if bboxes:
+            for box in bboxes:
-            for box in bboxes:
+                if len(box) == 4:
-                if len(box) == 4:
+                    cv2.rectangle(base_img, (int(box[0]), int(box[1])), (int(box[2]), int(box[3])), DEBUG_BOX_COLOR, DEBUG_BOX_THICKNESS)
-                    cv2.rectangle(vl_img, (int(box[0]), int(box[1])), (int(box[2]), int(box[3])), DEBUG_BOX_COLOR, DEBUG_BOX_THICKNESS)
+        
-        
+        vl_path = None
-        vl_path = image_path.replace(".jpg", "_vl.jpg")
+        if save_vl:
-        save_image(vl_path, vl_img)
+            vl_path = image_path.replace(".jpg", "_vl.jpg")
-        
+            save_image(vl_path, base_img)
-        # 2. 在 VL 版基础上绘制点击点 (Flag 版)
+        
-        flag_img = vl_img.copy()
+        flag_img = base_img.copy()
         if click_points:
             for p in click_points:
                 if len(p) == 2:
@@ -131,7 +131,7 @@ def draw_rectangles(image_path, bboxes=None, click_points=None):
         flag_path = image_path.replace(".jpg", "_flag.jpg")
         save_image(flag_path, flag_img)
         
-        return vl_path, flag_path
+        return vl_path or flag_path, flag_path
     except Exception as e:
         logger.error(f"绘制诊断图片失败: {e}")
         return image_path, image_path

Test/TestFirstPage/T_TeLaiDian_FirstPageScrollTest.py

@@ -62,8 +62,12 @@ async def run_capture_sequence(d, base_dir: str, pages: int = 5):
 async def offline_validate(base_dir: str):
     img_files = []
     for name in os.listdir(base_dir):
-        if name.lower().endswith(".jpg"):
+        lower = name.lower()
-            img_files.append(os.path.join(base_dir, name))
+        if not lower.endswith(".jpg"):
+            continue
+        if "_flag" in lower or "_vl" in lower:
+            continue
+        img_files.append(os.path.join(base_dir, name))
     img_files.sort()
 
     if not img_files: