This commit is contained in:
HuangHai
2026-01-25 09:21:48 +08:00
parent ea4bc24c4b
commit b514bd2812
39 changed files with 985 additions and 425 deletions

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# coding=utf-8
import uiautomator2 as u2
import time
import logging
import sys
import os
import cv2
import numpy as np
# 配置日志
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger("TestWeChat")
def analyze_chat_image(image_path, output_path):
"""
识别微信聊天截图中的头像并画框
"""
logger.info(f"正在分析图片: {image_path}")
# 读取图片
# 注意:cv2.imread 不支持中文路径,需要用 np.fromfile 读取
try:
img_data = np.fromfile(image_path, dtype=np.uint8)
img = cv2.imdecode(img_data, cv2.IMREAD_COLOR)
except Exception as e:
logger.error(f"读取图片失败: {e}")
return
if img is None:
logger.error("图片读取为空")
return
height, width = img.shape[:2]
logger.info(f"图片尺寸: {width}x{height}")
# 1. 预处理
# 转为灰度图
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 使用自适应阈值二值化
thresh = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
cv2.THRESH_BINARY_INV, 11, 2)
# 形态学操作:闭运算,填充内部空洞
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3))
closed = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel)
# 2. 轮廓查找
contours, _ = cv2.findContours(closed, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
logger.info(f"检测到轮廓数量: {len(contours)}")
# 收集所有符合条件的头像
avatars = []
# 3. 筛选轮廓
for contour in contours:
# 获取外接矩形
x, y, w, h = cv2.boundingRect(contour)
# 筛选条件优化:
# 1. 形状接近正方形 (放宽宽高比限制: 0.8 ~ 1.2)
aspect_ratio = float(w) / h
# 2. 尺寸适中
# 假设头像宽度在屏幕宽度的 6% 到 15% 之间
min_w = width * 0.06
max_w = width * 0.15
# 3. 位置筛选
# 排除底部输入框区域 (假设底部 10% 为输入区域)
if y > height * 0.9:
continue
# 左侧头像:靠左边 (x < width * 0.18)
# 右侧头像:靠右边 (x > width * 0.82)
is_left = x < width * 0.18
is_right = x > width * 0.82
if 0.8 <= aspect_ratio <= 1.2 and min_w < w < max_w:
if is_left or is_right:
side = "Left" if is_left else "Right"
avatars.append({
'x': x, 'y': y, 'w': w, 'h': h,
'side': side
})
# 按 y 坐标排序
avatars.sort(key=lambda a: a['y'])
logger.info(f"找到有效头像数量: {len(avatars)}")
# 4. 绘制对话内容框 (Green/Red Boxes)
# 策略:按顺序遍历头像,如果发现同侧连续,则视为一组。
# 从当前组的第一个头像上方开始,直到下一个不同侧的头像上方(或底部)。
if avatars:
i = 0
while i < len(avatars):
current_group_start = i
current_side = avatars[i]['side']
# 找到当前组的结束位置 (即下一个不同侧头像的索引)
j = i + 1
while j < len(avatars) and avatars[j]['side'] == current_side:
j += 1
# 当前组范围: avatars[i] ... avatars[j-1]
# 确定绘制区域的 Y 轴范围
# Start Y: 当前组第一个头像的上方 (例如 -10px)
start_y = max(0, avatars[i]['y'] - 10)
# End Y: 下一组第一个头像的上方 (减去较大间距,例如 -30px),或者当前组最后一个头像的底部加上边距
# 为了让框之间有明显间隔,我们采取策略:
# 如果有下一组,End Y = 下一组第一个头像的 y - 30 (留出间隙)
# 如果没有下一组,End Y = 屏幕底部区域上方
if j < len(avatars):
end_y = max(start_y + 10, avatars[j]['y'] - 30)
else:
end_y = int(height * 0.9) # 到底部输入框上方
# 绘制大框
# 左侧 (Left) -> 对方 -> 绿色 (0, 255, 0)
# 右侧 (Right) -> 我 -> 红色 (0, 0, 255)
# 注意 OpenCV 颜色是 BGR
box_color = (0, 255, 0) if current_side == "Left" else (0, 0, 255)
# 绘制矩形 (空心,线宽 5)
# X 轴范围:0 到 width
cv2.rectangle(img, (0, start_y), (width, end_y), box_color, 5)
logger.info(f"绘制内容框: 侧别={current_side}, 范围 Y={start_y} to {end_y}")
# 移动到下一组
i = j
# 5. 绘制头像框 (Blue/Yellow Boxes) - 画在内容框之上
for av in avatars:
x, y, w, h = av['x'], av['y'], av['w'], av['h']
# 左侧:蓝色 (BGR: 255, 0, 0)
# 右侧:黄色 (BGR: 0, 255, 255)
color = (255, 0, 0) if av['side'] == "Left" else (0, 255, 255)
cv2.rectangle(img, (x, y), (x + w, y + h), color, 10)
logger.info(f"绘制头像: 位置=({x},{y}), 侧别={av['side']}")
logger.info(f"共标记了 {len(avatars)} 个头像")
# 6. 保存结果
try:
# cv2.imwrite 不支持中文路径,使用 imencode + tofile
ext = os.path.splitext(output_path)[1]
cv2.imencode(ext, img)[1].tofile(output_path)
logger.info(f"✅ 分析结果已保存至: {output_path}")
except Exception as e:
logger.error(f"保存分析图片失败: {e}")
def main():
logger.info("开始执行微信搜索测试...")
# 连接设备
try:
d = u2.connect()
logger.info(f"设备连接成功: {d.info.get('serial')}")
except Exception as e:
logger.error(f"设备连接失败: {e}")
return
# 1. 启动微信
logger.info("步骤 1: 启动微信...")
d.app_start("com.tencent.mm", stop=True)
# 等待微信启动完成
time.sleep(5)
# 获取屏幕尺寸
w, h = d.window_size()
logger.info(f"屏幕尺寸: {w}x{h}")
# 2. 点击搜索按钮 (参考 Opener.py 的坐标比例: w * 0.84, h * 0.08)
search_x = int(w * 0.84)
search_y = int(h * 0.08)
logger.info(f"步骤 2: 点击搜索按钮 (坐标: {search_x}, {search_y})...")
d.click(search_x, search_y)
time.sleep(2)
# 3. 输入 "糖豆爸爸"
target_name = "糖豆爸爸"
logger.info(f"步骤 3: 输入搜索内容 '{target_name}'...")
try:
# 启用 FastInputIME 以支持中文输入
d.set_input_ime(True)
# 点击搜索框获取焦点 (参考 Opener.py: w * 0.4, h * 0.08)
d.click(int(w * 0.4), int(h * 0.08))
time.sleep(1)
# 输入文字
d.send_keys(target_name)
time.sleep(2)
# 恢复输入法
d.set_input_ime(False)
except Exception as e:
logger.error(f"输入文字失败: {e}")
try:
d(focused=True).set_text(target_name)
except:
pass
# 4. 点击搜索结果
logger.info("步骤 4: 查找并点击搜索结果...")
time.sleep(2)
found = False
# 策略 A: 精确匹配文本
if d(text=target_name).exists:
logger.info(f"找到文本为 '{target_name}' 的元素,点击...")
d(text=target_name).click()
found = True
else:
logger.warning(f"未找到文本为 '{target_name}' 的元素,尝试模糊匹配或坐标点击...")
# 策略 B: 坐标点击 (参考 Opener.py 点击第一个结果: w * 0.5, h * 0.18)
result_x = int(w * 0.5)
result_y = int(h * 0.18)
logger.info(f"尝试点击第一个搜索结果位置 ({result_x}, {result_y})...")
d.click(result_x, result_y)
found = True
if found:
logger.info("✅ 已执行点击操作,应该已进入对话框。")
# 5. 截图保存结果
logger.info("步骤 5: 截图并分析...")
# 等待界面加载稳定
time.sleep(3)
# 创建截图目录
screenshot_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "Screenshots")
if not os.path.exists(screenshot_dir):
os.makedirs(screenshot_dir)
# 生成文件名
timestamp = time.strftime("%Y%m%d_%H%M%S")
filename = f"chat_result_{timestamp}.jpg"
save_path = os.path.join(screenshot_dir, filename)
try:
d.screenshot(save_path)
logger.info(f"✅ 原始截图已保存: {save_path}")
# 6. 分析截图并标记头像
logger.info("步骤 6: 自动标记头像...")
analyzed_filename = f"chat_result_{timestamp}_analyzed.jpg"
analyzed_path = os.path.join(screenshot_dir, analyzed_filename)
analyze_chat_image(save_path, analyzed_path)
except Exception as e:
logger.error(f"❌ 截图或分析失败: {e}")
else:
logger.error("❌ 未能定位到搜索结果,跳过截图。")
logger.info("测试结束。")
if __name__ == "__main__":
main()

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WeiXin/T1_OpenChat.py Normal file
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# coding=utf-8
import uiautomator2 as u2
import time
import logging
import sys
import os
# 添加项目根目录到 sys.path
project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if project_root not in sys.path:
sys.path.append(project_root)
# 配置日志
log_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "Logs")
if not os.path.exists(log_dir):
os.makedirs(log_dir)
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(os.path.join(log_dir, "T1_OpenChat.log"), encoding='utf-8'),
logging.StreamHandler()
]
)
logger = logging.getLogger("T1_OpenChat")
def open_chat(target_name="糖豆爸爸"):
logger.info(f"开始执行 T1: 打开微信并进入 '{target_name}' 的对话框...")
# 连接设备
try:
d = u2.connect()
logger.info(f"设备连接成功: {d.info.get('serial')}")
except Exception as e:
logger.error(f"设备连接失败: {e}")
return
# 1. 启动微信
logger.info("步骤 1: 启动微信...")
d.app_start("com.tencent.mm", stop=True)
time.sleep(5)
# 获取屏幕尺寸
w, h = d.window_size()
logger.info(f"屏幕尺寸: {w}x{h}")
# 2. 点击搜索按钮
search_x = int(w * 0.84)
search_y = int(h * 0.08)
logger.info(f"步骤 2: 点击搜索按钮 (坐标: {search_x}, {search_y})...")
d.click(search_x, search_y)
time.sleep(2)
# 3. 输入搜索内容
logger.info(f"步骤 3: 输入搜索内容 '{target_name}'...")
try:
d.set_input_ime(True)
d.click(int(w * 0.4), int(h * 0.08))
time.sleep(1)
d.send_keys(target_name)
time.sleep(2)
d.set_input_ime(False)
except Exception as e:
logger.error(f"输入文字失败: {e}")
try:
d(focused=True).set_text(target_name)
except:
pass
# 4. 点击搜索结果
logger.info("步骤 4: 查找并点击搜索结果...")
time.sleep(2)
found = False
if d(text=target_name).exists:
logger.info(f"找到文本为 '{target_name}' 的元素,点击...")
d(text=target_name).click()
found = True
else:
logger.warning(f"未找到文本为 '{target_name}' 的元素,尝试模糊匹配或坐标点击...")
result_x = int(w * 0.5)
result_y = int(h * 0.18)
logger.info(f"尝试点击第一个搜索结果位置 ({result_x}, {result_y})...")
d.click(result_x, result_y)
found = True
if found:
logger.info("✅ T1 执行完成: 已进入对话框。")
else:
logger.error("❌ T1 执行失败: 未能进入对话框。")
if __name__ == "__main__":
open_chat()

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WeiXin/T2_GetHistory.py Normal file
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# coding=utf-8
import uiautomator2 as u2
import time
import logging
import sys
import os
project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if project_root not in sys.path:
sys.path.append(project_root)
from WeiXin.WxUtil import analyze_chat_image
# 配置日志
log_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "Logs")
if not os.path.exists(log_dir):
os.makedirs(log_dir)
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(os.path.join(log_dir, "T2_GetHistory.log"), encoding='utf-8'),
logging.StreamHandler()
]
)
logger = logging.getLogger("T2_GetHistory")
def get_history(target_name="对方"):
logger.info("开始执行 T2: 获取当前屏幕对话历史...")
try:
d = u2.connect()
logger.info(f"设备连接成功: {d.info.get('serial')}")
except Exception as e:
logger.error(f"设备连接失败: {e}")
return
# 截图
screenshot_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "Screenshots")
if not os.path.exists(screenshot_dir):
os.makedirs(screenshot_dir)
timestamp = time.strftime("%Y%m%d_%H%M%S")
filename = f"T2_history_{timestamp}.jpg"
save_path = os.path.join(screenshot_dir, filename)
try:
d.screenshot(save_path)
logger.info(f"截图已保存: {save_path}")
analyzed_filename = f"T2_history_{timestamp}_analyzed.jpg"
analyzed_path = os.path.join(screenshot_dir, analyzed_filename)
# 调用 WxUtil 中的分析函数
dialogue_log = analyze_chat_image(save_path, analyzed_path, target_name=target_name)
logger.info("✅ T2 执行完成。历史对话如下:")
if dialogue_log:
for log in dialogue_log:
print(log) # 打印到控制台
else:
logger.info("未提取到对话内容或当前屏幕无对话气泡。")
except Exception as e:
logger.error(f"❌ T2 执行失败: {e}")
if __name__ == "__main__":
get_history()

88
WeiXin/T3_MarkInputBox.py Normal file
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# coding=utf-8
import uiautomator2 as u2
import time
import logging
import sys
import os
import cv2
import numpy as np
project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if project_root not in sys.path:
sys.path.append(project_root)
from WeiXin.WxUtil import find_input_box_center
# 配置日志
log_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "Logs")
if not os.path.exists(log_dir):
os.makedirs(log_dir)
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(os.path.join(log_dir, "T3_MarkInputBox.log"), encoding='utf-8'),
logging.StreamHandler()
]
)
logger = logging.getLogger("T3_MarkInputBox")
def mark_input_box():
logger.info("开始执行 T3: 标识输入框位置...")
try:
d = u2.connect()
logger.info(f"设备连接成功: {d.info.get('serial')}")
except Exception as e:
logger.error(f"设备连接失败: {e}")
return
screenshot_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "Screenshots")
if not os.path.exists(screenshot_dir):
os.makedirs(screenshot_dir)
timestamp = time.strftime("%Y%m%d_%H%M%S")
filename = f"T3_input_{timestamp}.jpg"
save_path = os.path.join(screenshot_dir, filename)
try:
d.screenshot(save_path)
logger.info(f"截图已保存: {save_path}")
# 调用 WxUtil 识别输入框
center_point, rect_box = find_input_box_center(save_path)
if center_point and rect_box:
# 读取图片进行绘制
img_data = np.fromfile(save_path, dtype=np.uint8)
img = cv2.imdecode(img_data, cv2.IMREAD_COLOR)
x, y, w, h = rect_box
cx, cy = center_point
# 要求:绿色框,模块点击点处标识小红点
# 绿色框 (Green): BGR (0, 255, 0)
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 5)
# 小红点 (Red): BGR (0, 0, 255)
# 半径 10, 实心
cv2.circle(img, (cx, cy), 10, (0, 0, 255), -1)
output_filename = f"T3_input_{timestamp}_marked.jpg"
output_path = os.path.join(screenshot_dir, output_filename)
# 保存
ext = os.path.splitext(output_path)[1]
cv2.imencode(ext, img)[1].tofile(output_path)
logger.info(f"✅ T3 执行完成: 标记图片已保存至 {output_path}")
logger.info(f"输入框区域: {rect_box}, 点击中心点: {center_point}")
else:
logger.warning("❌ T3 执行结果: 未能识别到输入框。")
except Exception as e:
logger.error(f"❌ T3 执行失败: {e}")
if __name__ == "__main__":
mark_input_box()

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@@ -16,8 +16,9 @@ if project_root not in sys.path:
from Util.EasyOcrKit import get_easyocr_reader
# 配置日志
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger("TestWeChat")
# 注意:作为库模块,不应直接调用 basicConfig,以免干扰调用者的日志配置
# 调用者应自行配置日志(包括 FileHandler 等)
logger = logging.getLogger("WxUtil")
def find_input_box_center(image_path):
"""
@@ -48,8 +49,7 @@ def find_input_box_center(image_path):
contours, _ = cv2.findContours(dilated, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
best_cnt = None
max_area = 0
candidates = []
for cnt in contours:
x, y, w, h = cv2.boundingRect(cnt)
@@ -61,15 +61,36 @@ def find_input_box_center(image_path):
global_y = crop_y_start + y + h // 2
# 排除过于靠下的区域 (导航栏/手势条),通常在最后 2%
if global_y > height * 0.98:
if global_y > height * 0.99:
continue
if w * h > max_area:
max_area = w * h
best_cnt = (x, y, w, h)
candidates.append({
'x': x, 'y': y, 'w': w, 'h': h,
'global_y': global_y,
'area': w * h
})
if best_cnt:
x, y, w, h = best_cnt
best_candidate = None
if candidates:
# 优先选择最靠下的候选框 (Y 坐标最大)
# 同时考虑宽度不能太离谱
candidates.sort(key=lambda c: c['global_y'], reverse=True)
# 检查最靠下的候选框是否合理
# 正常情况下输入框应该在屏幕底部 92% - 98% 之间
# 如果最靠下的候选框 Y < 92%,说明可能识别错了 (可能是倒数第二条消息)
for cand in candidates:
if cand['global_y'] > height * 0.92:
best_candidate = cand
break
# 如果没有找到足够靠下的,但有候选框,尝试放宽条件或者使用最靠下的那个
if not best_candidate and candidates:
logger.warning("未找到 >92% 高度的输入框,尝试使用最靠下的候选框")
best_candidate = candidates[0]
if best_candidate:
x, y, w, h = best_candidate['x'], best_candidate['y'], best_candidate['w'], best_candidate['h']
center_x = x + w // 2
center_y = crop_y_start + y + h // 2
logger.info(f"找到输入框(CV-Canny): ({center_x}, {center_y}), 尺寸: {w}x{h}")
@@ -80,27 +101,33 @@ def find_input_box_center(image_path):
cv2.THRESH_BINARY_INV, 11, 2)
contours_thresh, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
candidates_thresh = []
for cnt in contours_thresh:
x, y, w, h = cv2.boundingRect(cnt)
if width * 0.4 < w < width * 0.95 and 20 < h < bottom_h * 0.8:
global_y = crop_y_start + y + h // 2
if global_y > height * 0.98:
if global_y > height * 0.99:
continue
if w * h > max_area:
max_area = w * h
best_cnt = (x, y, w, h)
candidates_thresh.append({
'x': x, 'y': y, 'w': w, 'h': h,
'global_y': global_y
})
if best_cnt:
x, y, w, h = best_cnt
if candidates_thresh:
candidates_thresh.sort(key=lambda c: c['global_y'], reverse=True)
best = candidates_thresh[0]
# 同样应用 > 92% 规则
if best['global_y'] > height * 0.92:
x, y, w, h = best['x'], best['y'], best['w'], best['h']
center_x = x + w // 2
center_y = crop_y_start + y + h // 2
logger.info(f"找到输入框(CV-Adaptive): ({center_x}, {center_y}), 尺寸: {w}x{h}")
return (center_x, center_y), (x, crop_y_start + y, w, h)
# 兜底策略:使用更靠下的默认坐标 (94%)
# 之前的 90.5% 用户反馈偏上
logger.warning("未找到明显输入框轮廓,使用更靠下的默认坐标 (94%)")
default_y = int(height * 0.94)
# 兜底策略:使用更靠下的默认坐标 (96% - 微信输入框通常很靠下)
# 之前的 94% 可能还是偏高
logger.warning("未找到明显输入框轮廓,使用更靠下的默认坐标 (96.5%)")
default_y = int(height * 0.965)
center_x = width // 2
# 构造假想框
@@ -358,6 +385,13 @@ def perform_input_action(coords, text):
except Exception as sk_e:
logger.error(f"send_keys 失败: {sk_e}")
# 尝试广播 input
try:
escaped_text = text.replace("'", "\\'").replace(" ", "%s")
d.shell(f"input text '{escaped_text}'")
except:
pass
# 3. 截图:输入文本后
take_debug_screenshot(d, "coord_03_after_input_text")
@@ -596,130 +630,4 @@ def analyze_chat_image(image_path, output_path, target_name="对方"):
logger.info(line)
logger.info("="*30 + "\n")
def main():
logger.info("开始执行微信搜索测试...")
# 连接设备
try:
d = u2.connect()
logger.info(f"设备连接成功: {d.info.get('serial')}")
except Exception as e:
logger.error(f"设备连接失败: {e}")
return
# 1. 启动微信
logger.info("步骤 1: 启动微信...")
d.app_start("com.tencent.mm", stop=True)
# 等待微信启动完成
time.sleep(5)
# 获取屏幕尺寸
w, h = d.window_size()
logger.info(f"屏幕尺寸: {w}x{h}")
# 2. 点击搜索按钮 (参考 Opener.py 的坐标比例: w * 0.84, h * 0.08)
search_x = int(w * 0.84)
search_y = int(h * 0.08)
logger.info(f"步骤 2: 点击搜索按钮 (坐标: {search_x}, {search_y})...")
d.click(search_x, search_y)
time.sleep(2)
# 3. 输入 "糖豆爸爸"
target_name = "糖豆爸爸"
logger.info(f"步骤 3: 输入搜索内容 '{target_name}'...")
try:
# 启用 FastInputIME 以支持中文输入
d.set_input_ime(True)
# 点击搜索框获取焦点 (参考 Opener.py: w * 0.4, h * 0.08)
d.click(int(w * 0.4), int(h * 0.08))
time.sleep(1)
# 输入文字
d.send_keys(target_name)
time.sleep(2)
# 恢复输入法
d.set_input_ime(False)
except Exception as e:
logger.error(f"输入文字失败: {e}")
try:
d(focused=True).set_text(target_name)
except:
pass
# 4. 点击搜索结果
logger.info("步骤 4: 查找并点击搜索结果...")
time.sleep(2)
found = False
# 策略 A: 精确匹配文本
if d(text=target_name).exists:
logger.info(f"找到文本为 '{target_name}' 的元素,点击...")
d(text=target_name).click()
found = True
else:
logger.warning(f"未找到文本为 '{target_name}' 的元素,尝试模糊匹配或坐标点击...")
# 策略 B: 坐标点击 (参考 Opener.py 点击第一个结果: w * 0.5, h * 0.18)
result_x = int(w * 0.5)
result_y = int(h * 0.18)
logger.info(f"尝试点击第一个搜索结果位置 ({result_x}, {result_y})...")
d.click(result_x, result_y)
found = True
if found:
logger.info("✅ 已执行点击操作,应该已进入对话框。")
# 5. 截图保存结果
logger.info("步骤 5: 截图并分析...")
# 等待界面加载稳定
time.sleep(3)
# 创建截图目录
screenshot_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "Screenshots")
if not os.path.exists(screenshot_dir):
os.makedirs(screenshot_dir)
# 生成文件名
timestamp = time.strftime("%Y%m%d_%H%M%S")
filename = f"chat_result_{timestamp}.jpg"
save_path = os.path.join(screenshot_dir, filename)
try:
d.screenshot(save_path)
logger.info(f"✅ 原始截图已保存: {save_path}")
# 6. 分析截图并标记头像
logger.info("步骤 6: 自动标记头像和识别内容...")
analyzed_filename = f"chat_result_{timestamp}_analyzed.jpg"
analyzed_path = os.path.join(screenshot_dir, analyzed_filename)
analyze_chat_image(save_path, analyzed_path, target_name=target_name)
# 7. 查找输入框并执行自动化操作
logger.info("步骤 7: 自动回复...")
# 注意:analyze_chat_image 内部已经调用了 find_input_box_center 并且画在图上了
# 但我们需要返回值来执行操作。analyze_chat_image 并没有返回坐标。
# 为了简单,再次调用一次 (或者修改 analyze_chat_image 返回坐标,但改动较大)
# 这里直接再次调用 find_input_box_center 获取坐标
coords, _ = find_input_box_center(save_path)
if coords:
logger.info(f"输入框坐标: {coords}")
perform_input_action(coords, "AI助手我现在可以开始和你聊天了!")
else:
logger.warning("未找到输入框坐标,跳过回复")
except Exception as e:
logger.error(f"❌ 截图或分析失败: {e}")
else:
logger.error("❌ 未能定位到搜索结果,跳过截图。")
logger.info("测试结束。")
if __name__ == "__main__":
main()
return dialogue_log

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@@ -0,0 +1,116 @@
using System;
using System.Drawing;
using System.Windows.Forms;
namespace WordAddIn
{
/// <summary>
/// 创建大纲输入窗体。
/// 功能描述:
/// 1. 提供一个文本框,让用户输入大纲的主题、关键词或详细描述。
/// 2. 作为生成大纲的前置步骤,获取用户的初始意图。
/// </summary>
public class CreateOutlineForm : Form
{
private TextBox txtTopic;
private Button btnGenerate;
private Button btnCancel;
private Label lblTopic;
/// <summary>
/// 获取用户输入的主题内容。
/// </summary>
public string Topic { get; private set; }
public CreateOutlineForm()
{
InitializeComponent();
}
/// <summary>
/// 初始化窗体组件。
/// </summary>
private void InitializeComponent()
{
this.lblTopic = new System.Windows.Forms.Label();
this.txtTopic = new System.Windows.Forms.TextBox();
this.btnGenerate = new System.Windows.Forms.Button();
this.btnCancel = new System.Windows.Forms.Button();
this.SuspendLayout();
//
// lblTopic
//
this.lblTopic.AutoSize = true;
this.lblTopic.Location = new System.Drawing.Point(20, 20);
this.lblTopic.Name = "lblTopic";
this.lblTopic.Size = new System.Drawing.Size(191, 12);
this.lblTopic.TabIndex = 0;
this.lblTopic.Text = "请输入文档主题或描述 (支持多行):";
//
// txtTopic
//
this.txtTopic.Location = new System.Drawing.Point(20, 50);
this.txtTopic.Multiline = true;
this.txtTopic.Name = "txtTopic";
this.txtTopic.ScrollBars = System.Windows.Forms.ScrollBars.Vertical;
this.txtTopic.Size = new System.Drawing.Size(440, 240);
this.txtTopic.TabIndex = 1;
//
// btnGenerate
//
this.btnGenerate.DialogResult = System.Windows.Forms.DialogResult.OK;
this.btnGenerate.Location = new System.Drawing.Point(240, 310);
this.btnGenerate.Name = "btnGenerate";
this.btnGenerate.Size = new System.Drawing.Size(100, 35);
this.btnGenerate.TabIndex = 2;
this.btnGenerate.Text = "生成大纲";
this.btnGenerate.UseVisualStyleBackColor = true;
this.btnGenerate.Click += new System.EventHandler(this.BtnGenerate_Click);
//
// btnCancel
//
this.btnCancel.DialogResult = System.Windows.Forms.DialogResult.Cancel;
this.btnCancel.Location = new System.Drawing.Point(360, 310);
this.btnCancel.Name = "btnCancel";
this.btnCancel.Size = new System.Drawing.Size(100, 35);
this.btnCancel.TabIndex = 3;
this.btnCancel.Text = "取消";
this.btnCancel.UseVisualStyleBackColor = true;
//
// CreateOutlineForm
//
this.AutoScaleDimensions = new System.Drawing.SizeF(6F, 12F);
this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font;
this.CancelButton = this.btnCancel;
this.ClientSize = new System.Drawing.Size(500, 370);
this.Controls.Add(this.btnCancel);
this.Controls.Add(this.btnGenerate);
this.Controls.Add(this.txtTopic);
this.Controls.Add(this.lblTopic);
this.FormBorderStyle = System.Windows.Forms.FormBorderStyle.FixedDialog;
this.MaximizeBox = false;
this.MinimizeBox = false;
this.Name = "CreateOutlineForm";
this.StartPosition = System.Windows.Forms.FormStartPosition.CenterScreen;
this.Text = "创建大纲 - AI助手";
this.ResumeLayout(false);
this.PerformLayout();
}
/// <summary>
/// 生成按钮点击事件。
/// 验证输入是否为空,若通过则设置 Topic 属性并关闭窗体。
/// </summary>
private void BtnGenerate_Click(object sender, EventArgs e)
{
Topic = txtTopic.Text.Trim();
if (string.IsNullOrWhiteSpace(Topic))
{
MessageBox.Show("请输入主题或描述内容。");
this.DialogResult = DialogResult.None;
return;
}
}
}
}

View File

@@ -0,0 +1,177 @@
using System;
using System.Drawing;
using System.Windows.Forms;
using WordAddIn.Models;
using WordAddIn.Properties;
using Newtonsoft.Json;
namespace WordAddIn
{
/// <summary>
/// 大纲样式配置窗体。
/// 功能描述:
/// 1. 允许用户为大纲的不同层级(主标题、一级目录、二级目录、三级目录)配置样式。
/// 2. 使用 TabControl 组织不同层级的样式编辑器(StyleEditorControl)。
/// 3. 支持保存配置到本地设置(Settings.Default.OutlineStyles)和加载已有配置。
/// </summary>
public class OutlineSettingsForm : Form
{
private TabControl tabControl;
private Button btnSave;
private Button btnCancel;
private StyleEditorControl mainTitleEditor;
private StyleEditorControl h1Editor;
private StyleEditorControl h2Editor;
private StyleEditorControl h3Editor;
public OutlineSettingsForm()
{
InitializeComponent();
InitializeCustomControls();
LoadSettings();
}
/// <summary>
/// 初始化基本窗体组件。
/// </summary>
private void InitializeComponent()
{
this.tabControl = new System.Windows.Forms.TabControl();
this.btnSave = new System.Windows.Forms.Button();
this.btnCancel = new System.Windows.Forms.Button();
this.SuspendLayout();
//
// tabControl
//
this.tabControl.Location = new System.Drawing.Point(12, 12);
this.tabControl.Name = "tabControl";
this.tabControl.SelectedIndex = 0;
this.tabControl.Size = new System.Drawing.Size(410, 280);
this.tabControl.TabIndex = 0;
//
// btnSave
//
this.btnSave.DialogResult = System.Windows.Forms.DialogResult.OK;
this.btnSave.Location = new System.Drawing.Point(210, 310);
this.btnSave.Name = "btnSave";
this.btnSave.Size = new System.Drawing.Size(100, 35);
this.btnSave.TabIndex = 1;
this.btnSave.Text = "保存配置";
this.btnSave.UseVisualStyleBackColor = true;
this.btnSave.Click += new System.EventHandler(this.BtnSave_Click);
//
// btnCancel
//
this.btnCancel.DialogResult = System.Windows.Forms.DialogResult.Cancel;
this.btnCancel.Location = new System.Drawing.Point(320, 310);
this.btnCancel.Name = "btnCancel";
this.btnCancel.Size = new System.Drawing.Size(100, 35);
this.btnCancel.TabIndex = 2;
this.btnCancel.Text = "取消";
this.btnCancel.UseVisualStyleBackColor = true;
//
// OutlineSettingsForm
//
this.AcceptButton = this.btnSave;
this.AutoScaleDimensions = new System.Drawing.SizeF(6F, 12F);
this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font;
this.CancelButton = this.btnCancel;
this.ClientSize = new System.Drawing.Size(450, 360);
this.Controls.Add(this.btnCancel);
this.Controls.Add(this.btnSave);
this.Controls.Add(this.tabControl);
this.FormBorderStyle = System.Windows.Forms.FormBorderStyle.FixedDialog;
this.MaximizeBox = false;
this.MinimizeBox = false;
this.Name = "OutlineSettingsForm";
this.StartPosition = System.Windows.Forms.FormStartPosition.CenterScreen;
this.Text = "大纲样式配置";
this.ResumeLayout(false);
}
/// <summary>
/// 初始化自定义样式编辑器控件,并添加到 Tab 页中。
/// </summary>
private void InitializeCustomControls()
{
mainTitleEditor = new StyleEditorControl("主标题", true);
h1Editor = new StyleEditorControl("一级目录", false);
h2Editor = new StyleEditorControl("二级目录", false);
h3Editor = new StyleEditorControl("三级目录", false);
AddTab("主标题", mainTitleEditor);
AddTab("一级目录", h1Editor);
AddTab("二级目录", h2Editor);
AddTab("三级目录", h3Editor);
}
/// <summary>
/// 辅助方法:添加一个新的 Tab 页。
/// </summary>
private void AddTab(string title, Control content)
{
TabPage page = new TabPage(title);
content.Dock = DockStyle.Fill;
page.Controls.Add(content);
tabControl.TabPages.Add(page);
}
/// <summary>
/// 从 Settings 中加载保存的样式配置。
/// </summary>
private void LoadSettings()
{
try
{
string json = Settings.Default.OutlineStyles;
OutlineStyleConfig config = null;
if (!string.IsNullOrEmpty(json))
{
config = JsonConvert.DeserializeObject<OutlineStyleConfig>(json);
}
if (config == null)
{
config = new OutlineStyleConfig(); // Use defaults
}
mainTitleEditor.SetStyle(config.MainTitle);
h1Editor.SetStyle(config.Heading1);
h2Editor.SetStyle(config.Heading2);
h3Editor.SetStyle(config.Heading3);
}
catch (Exception ex)
{
MessageBox.Show("加载配置失败: " + ex.Message);
}
}
/// <summary>
/// 保存按钮点击事件。
/// 将当前配置序列化为 JSON 并保存到 Settings。
/// </summary>
private void BtnSave_Click(object sender, EventArgs e)
{
try
{
OutlineStyleConfig config = new OutlineStyleConfig();
config.MainTitle = mainTitleEditor.GetStyle();
config.Heading1 = h1Editor.GetStyle();
config.Heading2 = h2Editor.GetStyle();
config.Heading3 = h3Editor.GetStyle();
string json = JsonConvert.SerializeObject(config);
Settings.Default.OutlineStyles = json;
Settings.Default.Save();
}
catch (Exception ex)
{
MessageBox.Show("保存配置失败: " + ex.Message);
this.DialogResult = DialogResult.None;
}
}
}
}

View File

@@ -0,0 +1,126 @@
using System;
using System.Drawing;
using System.Windows.Forms;
using WordAddIn.Models;
namespace WordAddIn
{
/// <summary>
/// 样式编辑器控件。
/// 功能描述:
/// 1. 提供可复用的用户界面,用于配置文本样式(字体、字号、加粗、对齐方式)。
/// 2. 封装了 WinForms 控件(ComboBox, NumericUpDown, CheckBox),简化样式设置。
/// 3. 支持数据绑定:SetStyle() 设置界面状态,GetStyle() 获取用户配置。
/// </summary>
public class StyleEditorControl : UserControl
{
private ComboBox cmbFont;
private NumericUpDown numSize;
private CheckBox chkBold;
private ComboBox cmbAlign;
private bool _showAlign;
/// <summary>
/// 默认构造函数 (设计器支持)。
/// </summary>
public StyleEditorControl()
{
// Default constructor for designer support
_showAlign = false;
Initialize("样式");
}
/// <summary>
/// 带参数的构造函数。
/// </summary>
/// <param name="labelText">分组标题文本 (如 "一级目录")</param>
/// <param name="showAlign">是否显示对齐方式选项</param>
public StyleEditorControl(string labelText, bool showAlign)
{
_showAlign = showAlign;
Initialize(labelText);
}
/// <summary>
/// 初始化控件界面。
/// </summary>
/// <param name="labelText">分组标题</param>
private void Initialize(string labelText)
{
this.Padding = new Padding(20);
this.Size = new Size(380, 200); // Set a default size
// 字体选择
Label lblFont = new Label { Text = "字体:", Location = new Point(20, 30), AutoSize = true };
cmbFont = new ComboBox { Location = new Point(80, 27), Width = 150, DropDownStyle = ComboBoxStyle.DropDownList };
// Add common Chinese fonts
cmbFont.Items.AddRange(new object[] { "宋体", "黑体", "微软雅黑", "楷体", "仿宋", "Arial", "Times New Roman" });
cmbFont.SelectedIndex = 0;
// 字号选择
Label lblSize = new Label { Text = "字号:", Location = new Point(20, 70), AutoSize = true };
numSize = new NumericUpDown { Location = new Point(80, 67), Width = 80, Minimum = 5, Maximum = 72, DecimalPlaces = 1 };
// 加粗选项
chkBold = new CheckBox { Text = "加粗", Location = new Point(80, 110), AutoSize = true };
this.Controls.Add(lblFont);
this.Controls.Add(cmbFont);
this.Controls.Add(lblSize);
this.Controls.Add(numSize);
this.Controls.Add(chkBold);
// 对齐方式 (可选)
if (_showAlign)
{
Label lblAlign = new Label { Text = "对齐:", Location = new Point(20, 150), AutoSize = true };
cmbAlign = new ComboBox { Location = new Point(80, 147), Width = 100, DropDownStyle = ComboBoxStyle.DropDownList };
cmbAlign.Items.AddRange(new object[] { "左对齐", "居中", "右对齐" });
cmbAlign.SelectedIndex = 0;
this.Controls.Add(lblAlign);
this.Controls.Add(cmbAlign);
}
}
/// <summary>
/// 将 TextStyle 对象应用到界面控件。
/// </summary>
/// <param name="style">要显示的样式对象</param>
public void SetStyle(TextStyle style)
{
if (style == null) return;
if (cmbFont.Items.Contains(style.FontName))
cmbFont.SelectedItem = style.FontName;
else
cmbFont.Text = style.FontName; // Fallback
numSize.Value = (decimal)style.FontSize;
chkBold.Checked = style.IsBold;
if (_showAlign && cmbAlign != null)
{
if (style.Alignment >= 0 && style.Alignment < cmbAlign.Items.Count)
cmbAlign.SelectedIndex = style.Alignment;
}
}
/// <summary>
/// 从界面控件获取当前的 TextStyle 配置。
/// </summary>
/// <returns>包含用户配置的样式对象</returns>
public TextStyle GetStyle()
{
TextStyle style = new TextStyle();
style.FontName = cmbFont.Text;
style.FontSize = (float)numSize.Value;
style.IsBold = chkBold.Checked;
if (_showAlign && cmbAlign != null)
{
style.Alignment = cmbAlign.SelectedIndex;
}
return style;
}
}
}

View File

@@ -0,0 +1,8 @@
<?xml version="1.0" encoding="utf-8"?>
<Project ToolsVersion="Current" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
<PropertyGroup>
<PublishUrlHistory />
<InstallUrlHistory />
<SupportUrlHistory />
</PropertyGroup>
</Project>

View File

@@ -0,0 +1,203 @@
<?xml version="1.0" encoding="utf-8"?>
<asmv1:assembly xsi:schemaLocation="urn:schemas-microsoft-com:asm.v1 assembly.adaptive.xsd" manifestVersion="1.0" xmlns:asmv1="urn:schemas-microsoft-com:asm.v1" xmlns="urn:schemas-microsoft-com:asm.v2" xmlns:asmv2="urn:schemas-microsoft-com:asm.v2" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:co.v1="urn:schemas-microsoft-com:clickonce.v1" xmlns:asmv3="urn:schemas-microsoft-com:asm.v3" xmlns:dsig="http://www.w3.org/2000/09/xmldsig#" xmlns:co.v2="urn:schemas-microsoft-com:clickonce.v2">
<asmv1:assemblyIdentity name="WordAddIn.dll" version="1.0.0.0" publicKeyToken="06a92c46db516926" language="neutral" processorArchitecture="msil" type="win32" />
<description xmlns="urn:schemas-microsoft-com:asm.v1">WordAddIn</description>
<application />
<entryPoint>
<co.v1:customHostSpecified />
</entryPoint>
<trustInfo>
<security>
<applicationRequestMinimum>
<PermissionSet Unrestricted="true" ID="Custom" SameSite="site" />
<defaultAssemblyRequest permissionSetReference="Custom" />
</applicationRequestMinimum>
<requestedPrivileges xmlns="urn:schemas-microsoft-com:asm.v3">
<!--
UAC 清单选项
如果要更改 Windows 用户帐户控制级别,请用以下节点之一替换
requestedExecutionLevel 节点。
<requestedExecutionLevel level="asInvoker" uiAccess="false" />
<requestedExecutionLevel level="requireAdministrator" uiAccess="false" />
<requestedExecutionLevel level="highestAvailable" uiAccess="false" />
如果要利用文件和注册表虚拟化提供
向后兼容性,请删除 requestedExecutionLevel 节点。
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<requestedExecutionLevel level="asInvoker" uiAccess="false" />
</requestedPrivileges>
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<dependency>
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