231 lines
7.0 KiB
Python
231 lines
7.0 KiB
Python
# coding=utf-8
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import os
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import logging
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import hashlib
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import numpy as np
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import cv2
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logger = logging.getLogger(__name__)
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def clean_station_name(name):
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"""
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清理场站名称，去除特殊字符和距离信息
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"""
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if not name:
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return ""
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import re
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# 移除常见的括号备注
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name = re.sub(r'\(.*?\)', '', name)
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name = re.sub(r'（.*?）', '', name)
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return name.strip()
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def take_screenshot(d, filename, save_dir=None):
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"""
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获取屏幕截图并保存
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"""
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if not save_dir:
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from Config.Config import TEMP_IMAGE_DIR
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save_dir = TEMP_IMAGE_DIR
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if not os.path.exists(save_dir):
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os.makedirs(save_dir)
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# 确保文件名有后缀
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if not filename.endswith(".jpg") and not filename.endswith(".png"):
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filename = f"{filename}.jpg"
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full_path = os.path.join(save_dir, filename)
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d.screenshot(full_path)
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return full_path
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def get_file_md5(file_path):
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"""计算文件的 MD5 值"""
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if not os.path.exists(file_path):
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return None
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hash_md5 = hashlib.md5()
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with open(file_path, "rb") as f:
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for chunk in iter(lambda: f.read(4096), b""):
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hash_md5.update(chunk)
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return hash_md5.hexdigest()
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def get_image_content_md5(file_path, top_ratio=0.1, bottom_ratio=0.1):
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"""
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计算图片核心内容的 MD5 值（排除状态栏和导航栏）
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"""
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img = read_image(file_path)
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if img is None:
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return None
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h, w = img.shape[:2]
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top = int(h * top_ratio)
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bottom = int(h * (1 - bottom_ratio))
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# 裁剪中间部分
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content = img[top:bottom, :]
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# 直接使用原始像素数组计算 MD5，避免压缩损失
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return hashlib.md5(content.tobytes()).hexdigest()
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def read_image(path):
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"""读取图片，支持中文路径"""
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if not path or not os.path.exists(path):
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return None
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try:
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data = np.fromfile(path, dtype=np.uint8)
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if data.size == 0:
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return None
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img = cv2.imdecode(data, -1)
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return img
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except Exception as e:
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logger.error(f"Error reading image {path}: {e}")
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return None
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def save_image(path, img):
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"""保存图片，支持中文路径"""
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try:
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ext = os.path.splitext(path)[1]
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if not ext:
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ext = ".jpg"
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cv2.imencode(ext, img)[1].tofile(path)
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return True
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except Exception as e:
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logger.error(f"Error saving image {path}: {e}")
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return False
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def detect_cards_cv(image_path, top_ratio=0.15, bottom_ratio=0.1):
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"""
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使用计算机图形学 (OpenCV) 检测列表中的场站卡片
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"""
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img = read_image(image_path)
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if img is None:
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return []
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h, w = img.shape[:2]
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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blurred = cv2.GaussianBlur(gray, (5, 5), 0)
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edges = cv2.Canny(blurred, 10, 50)
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contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
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cards = []
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min_card_width = int(w * 0.8)
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min_card_height = 150
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top_limit = int(h * top_ratio)
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bottom_limit = int(h * (1 - bottom_ratio))
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valid_contours = []
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for cnt in contours:
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x, y, cw, ch = cv2.boundingRect(cnt)
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if (cw > min_card_width and
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ch > min_card_height and
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y > top_limit and
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y + ch < bottom_limit):
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center_y = y + ch // 2
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is_duplicate = False
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for vx, vy, vcw, vch in valid_contours:
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v_center_y = vy + vch // 2
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if abs(center_y - v_center_y) < 50:
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is_duplicate = True
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break
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if not is_duplicate:
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valid_contours.append((x, y, cw, ch))
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padding = 5
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cards.append([
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max(0, x + padding),
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max(0, y + padding),
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max(0, x + cw - padding),
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max(0, y + ch - padding)
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])
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cards.sort(key=lambda c: c[1])
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return cards
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def draw_rectangles(image_path, points, output_path=None):
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"""
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使用 OpenCV 在图片上绘制矩形框
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"""
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try:
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from Apps.TelaiDian.Config.Setting import DRAW_DEBUG_BOXES
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# 这里暂时写死颜色和粗细，或者从 Setting 读取
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DEBUG_BOX_COLOR = (0, 255, 0)
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DEBUG_BOX_THICKNESS = 3
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# if not DRAW_DEBUG_BOXES: # 暂时强制开启以方便调试
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# return image_path
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img = read_image(image_path)
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if img is None:
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return image_path
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for p in points:
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if len(p) == 4:
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cv2.rectangle(img, (int(p[0]), int(p[1])), (int(p[2]), int(p[3])), DEBUG_BOX_COLOR, DEBUG_BOX_THICKNESS)
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elif len(p) == 2:
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center = (int(p[0]), int(p[1]))
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cv2.circle(img, center, 10, DEBUG_BOX_COLOR, -1)
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save_path = output_path if output_path else image_path
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save_image(save_path, img)
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return save_path
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except Exception as e:
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logger.error(f"绘制矩形框失败: {e}")
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return image_path
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def clear_temp_dir(save_dir=None):
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"""清空临时目录中的所有文件"""
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if save_dir is None:
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from Config.Config import TEMP_IMAGE_DIR
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save_dir = TEMP_IMAGE_DIR
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if not os.path.exists(save_dir):
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return
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for f in os.listdir(save_dir):
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file_path = os.path.join(save_dir, f)
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try:
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if os.path.isfile(file_path):
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os.remove(file_path)
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except Exception as e:
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logger.error(f"Error deleting file {file_path}: {e}")
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def setup_logger(name, log_file=None):
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"""
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配置日志，支持同时输出到控制台和文件
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统一存放在根目录的 Logs 文件夹下
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"""
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if log_file is None:
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# 获取项目根目录 (aiData)
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root_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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log_dir = os.path.join(root_dir, "Logs")
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if not os.path.exists(log_dir):
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os.makedirs(log_dir)
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# 统一使用供应商代号作为文件名
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supplier_code = os.path.basename(os.path.dirname(os.path.abspath(__file__)))
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log_file = os.path.join(log_dir, f"{supplier_code}.log")
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logger = logging.getLogger(name)
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logger.setLevel(logging.INFO)
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# 如果已经有 handler，不再添加
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if logger.handlers:
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return logger
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formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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# 控制台 Handler
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ch = logging.StreamHandler()
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ch.setFormatter(formatter)
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logger.addHandler(ch)
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# 文件 Handler
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fh = logging.FileHandler(log_file, encoding='utf-8')
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fh.setFormatter(formatter)
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logger.addHandler(fh)
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return logger
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