将下列代码
报错的日志进行保存ef get_image():
try:
# 清理上传目录中的JPEG文件
for filename in os
.listdir(uploads_path):
if filename
.endswith('
.jpg'):
file_path = os
.path
.join(uploads_path, filename)
os
.remove(file_path) # 简化删除逻辑，异常将被外层捕获
# 重置全局状态
global RESET_TIME
RESET_TIME = True
# 获取并验证JSON数据
json_data = request
.get_json()
if not json_data or 'data' not in json_data or 'data' not in json_data['data']:
logging.error("无效的JSON格式：缺少'data
.data'字段")
raise ValueError("无效的JSON格式：缺少'data
.data'字段")
up_file = json_data["data"]["data"]
saved_images = []
# 处理每个上传的图像
for image_id, value in up_file
.items():
# 安全过滤图像ID，只保留字母数字和部分安全字符
safe_id = ''
.join(e for e in image_id if e
.isalnum() or e in ['_', '-'])
if not safe_id:
logging.error(f"Invalid image ID: {image_id}")
raise ValueError(f"Invalid image ID: {image_id}")
up_filename = safe_id + "
.jpg"
save_file = os
.path
.join(uploads_path, up_filename)
# 解码Base64数据
try:
image_data = base64
.b64decode(value)
except (base64
.binascii
.Error, TypeError) as e:
logging.error(f"ID为{safe_id}的图像数据解码失败: {str(e)}")
raise ValueError(f"ID为{safe_id}的图像数据解码失败: {str(e)}")
# 打开并验证图像
try:
image = Image
.open(BytesIO(image_data))
image
.verify() # 验证图像完整性
image = Image
.open(BytesIO(image_data)) # 验证后重新打开
except UnidentifiedImageError as e:
logging.error(f"图像破损 ID {safe_id}: {str(e)}")
raise ValueError(f"图像破损 ID {safe_id}: {str(e)}")
except Exception as e:
logging.error(f"Failed to process image ID {safe_id}: {str(e)}")
raise ValueError(f"Failed to process image ID {safe_id}: {str(e)}")
# 保存图像
try:
image
.save(save_file)
except Exception as e:
logging.error(f"Failed to save image ID {safe_id} to {save_file}: {str(e)}")
raise ValueError(f"Failed to save image ID {safe_id} to {save_file}: {str(e)}")
saved_images
.append((safe_id, save_file))
# 检查是否有成功保存的图像
if not saved_images:
logging.error("没有图像被成功处理")
raise ValueError("没有图像被成功处理")
return saved_images[-1][0], saved_images[-1][1]
except Exception as e:
logging.error(f'Critical error in get_image: {str(e)}')
# 可以在这里添加更多的错误日志记录
print(f'Critical error in get_image: {str(e)}')
raise # 重新抛出异常，让调用者处理
@app
.route("/api/YuHangAI/picture/v2
.0/",methods=['GET','POST'])
def interface_usage():
message = """<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>北京御航智能</title>
</head>
<body>
<h1>北京御航智能图像智能识别服务接口</h1>
<p>提供多种场景下的图像识别</p>
</body>
</html>"""
return message
# 输电识别模型, 无人机巡检场景
@app
.route("/api/YuHangAI/picture/v2
.0/transmission",methods=['POST'])
def detect_transmission_image():
logger
.info("输电缺陷识别")
start_time = time
.time()
json_data = request
.get_json()
try:
_type = json_data["type"]
except:
_type = False
image_id, save_file = get_image()
time_1 = time
.time()
logger
.info(f"处理数据用时{time_1-start_time}s")
print(f"处理数据用时",file = sys
.stderr)
if save_file is None:
logging.error('不支持的图像类型！')
return jsonify("不支持的图像类型！")
try:
if _type == "wrjwyy":
out_json = {"results":[]}
out_json["data"]=preprocessing(save_file)
else:
out_json = {'image_id':image_id}
objects = pool
.apply_async(func=detect_transmission_models,args=(save_file,))
.get()
# result = pool
.apply_async(func=detect_transmission_models, args=(save_file,))
# objects = result
.get(timeout=30)
count = 0
if len(objects) > 0:
for key, values in objects
.items():
if _type == "wrjwyy":
if key in name_map:
for value in values:
if value[4] > 0
.7:
value
.append(name_map[key])
out_json["results"]
.append({"result":value})
else:
for value in values:
if value[4] < 0
.7:
continue
value
.append(key)
out_json[str(count)] = {"result":value}
count += 1
except torch
.cuda
.OutOfMemoryError:
logging.error("CUDA内存不足错误")
out_json['status'] = '检测任务失败：GPU内存不足'
except
FileNotFoundError:
logging.error(f"文件不存在: {save_file}")
out_json['status'] = '检测任务失败：文件不存在'
except Exception as e:
import traceback
logging.error(traceback
.format_exc())
out_json['status'] = '检测任务失败！'+str(e)
logging.error('检测任务失败！'+str(e))
time_2 = time
.time()
logger
.info(f"检测图片用时{time_2-time_1}s")
# print(f'检测图片用时{time_2-time_1}s',file = stdout)
try:
os
.remove(save_file)
except Exception as e:
# logger
.info('Failed to delete %s
. Reason: %s' % (save_file, e))
print('Failed to delete %s
. Reason: %s' % (save_file, e))
return jsonify(out_json)
本文记录了一次在Python项目中遇到的日志配置文件路径错误问题，错误信息为FileNotFoundError，具体原因是路径字符串中单引号与双引号的误用。通过修正路径字符串的引号类型，成功解决了这一看似简单实则困扰的问题。
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