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67 lines
2.4 KiB
67 lines
2.4 KiB
# -*- coding: utf-8 -*-
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# This file is auto-generated, don't edit it. Thanks.
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# pip install alibabacloud_ocr_api20210707==3.1.2
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import json
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import os
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from alibabacloud_ocr_api20210707 import models as ocr_api_20210707_models
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from alibabacloud_ocr_api20210707.client import Client as ocr_api20210707Client
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from alibabacloud_tea_openapi import models as open_api_models
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from alibabacloud_tea_util import models as util_models
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from Config import *
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class RecognizeHandwriting:
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def __init__(self):
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pass
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@staticmethod
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def create_client() -> ocr_api20210707Client:
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# 安全建议：建议将密钥移到环境变量中
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config = open_api_models.Config(
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access_key_id=ALY_AK,
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access_key_secret=ALY_SK
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)
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config.endpoint = f'ocr-api.cn-hangzhou.aliyuncs.com'
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return ocr_api20210707Client(config)
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@staticmethod
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def recognize_handwriting(imageUrl) -> None:
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client = RecognizeHandwriting.create_client()
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recognize_handwriting_request = ocr_api_20210707_models.RecognizeHandwritingRequest(
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url=imageUrl
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)
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runtime = util_models.RuntimeOptions()
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try:
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response = client.recognize_handwriting_with_options(
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recognize_handwriting_request,
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runtime
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)
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# 转换为字典格式
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result = response.body.to_map()
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# print("完整响应：", result)
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# 检查状态码
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# 正确解析数据（注意字段大小写）
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data_str = result.get('Data', {})
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data_dict = json.loads(data_str)
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content = data_dict.get('content', '')
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print("识别成功：\n")
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return content
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except Exception as error:
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# 增强错误处理
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if hasattr(error, 'data'):
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error_data = error.data
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print(f"错误详情：{error_data.get('Code', '未知')} - {error_data.get('Message', '无错误信息')}")
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print(f"建议：{error_data.get('Recommend', '无建议')}")
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else:
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print(f"未处理的异常：{str(error)}")
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return None
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if __name__ == '__main__':
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content = RecognizeHandwriting.recognize_handwriting('https://ylt.oss-cn-hangzhou.aliyuncs.com/HuangHai/1.jpg')
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print(content)
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