Create Python API (#457)

* 更新镜像

* 更新镜像信息

* 更新镜像信息

* Create openai_api.py

* Create requirements.txt

* Create README.md

* 添加python接口

* Delete python directory

* Create README.md

* Create Python API

* 文件结构化

* 文件结构化

python/api/test/fetch_test.py

@@ -0,0 +1,25 @@
+import requests
+
+# 接口的URL
+api_url = "http://127.0.0.1:6010/generate_summary/"
+
+# 请求的数据
+data = {
+    "url": "https://bing.com",
+    "level": 1
+}
+
+# 发送POST请求
+response = requests.post(api_url, json=data)
+
+# 检查响应状态
+if response.status_code == 200:
+    # 请求成功，打印结果
+    summaries = response.json()
+    for summary in summaries:
+        print(f"URL: {summary['url']}")
+        print(f"Title: {summary['title']}")
+        print(f"Summary: {summary['summary']}\n")
+else:
+    # 请求失败，打印错误信息
+    print(f"Failed to generate summary with status code {response.status_code}: {response.text}")

python/api/test/office_test.py

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+import requests
+import pytest
+from docx import Document
+import os
+from tempfile import NamedTemporaryFile
+from docx.shared import Inches
+
+image_path = os.path.join(os.path.dirname(__file__), "test.png")
+
+# 定义一个函数来创建一个新的Word文档，并添加一个图片
+def create_test_docx_with_image():
+    # 使用临时文件来避免文件名冲突
+    temp_file = NamedTemporaryFile(delete=False, suffix='.docx')
+    # 创建一个文档对象
+    doc = Document()
+    # 添加一个段落
+    doc.add_paragraph("This is a test document with an image.")
+    # 添加一个图片，确保提供的图片路径是有效的
+    doc.add_picture(image_path, width=Inches(1.25))  # 图片宽度设为1.25英寸
+    # 保存文档到临时文件
+    doc.save(temp_file.name)
+    # 关闭临时文件
+    temp_file.close()
+    # 返回文件路径
+    return temp_file.name
+
+# 定义一个函数，它将创建并发送多个Word文档，并返回响应对象列表
+def get_responses():
+    responses = []
+    # 创建并发送10个文档
+    for _ in range(10):
+        test_file_path = create_test_docx_with_image()
+        with open(test_file_path, "rb") as f:
+            files = {"file": (os.path.basename(test_file_path), f, "application/vnd.openxmlformats-officedocument.wordprocessingml.document")}
+            response = requests.post("http://127.0.0.1:6010/extract_text/", files=files)
+            responses.append(response)
+        # 测试完成后删除文件
+        os.unlink(test_file_path)
+    return responses
+
+# 使用pytest的parametrize装饰器测试所有响应
+@pytest.mark.parametrize("response", get_responses())
+def test_response(response):
+    # 断言响应的状态码为200
+    assert response.status_code == 200
+    # 断言响应的内容类型是application/json
+    assert "application/json" in response.headers["Content-Type"]
+    # 断言响应的数据包含文本信息
+    assert "text" in response.json()