机器翻译（Qwen-MT）

import os
from openai import OpenAI

client = OpenAI(
  # 若未配置环境变量，请将下行替换为您的 API Key：api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
messages = [
  {
    "role": "user",
    "content": "No me reí después de ver este video"
  }
]
translation_options = {
  "source_lang": "auto",
  "target_lang": "English"
}

completion = client.chat.completions.create(
  model="qwen-mt-plus",
  messages=messages,
  extra_body={
    "translation_options": translation_options
  }
)
print(completion.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
  # 若未配置环境变量，请将下行替换为您的 API Key：api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
messages = [
  {
    "role": "user",
    "content": "Este conjunto de biosensores utiliza grafeno, un material novedoso. Su objetivo son los elementos químicos. Su agudo «sentido del olfato» le permite reflejar el estado de salud del cuerpo de forma más profunda y precisa."
  }
]

# --- 第一次请求：不使用 terms 参数 ---
print("--- [不使用术语干预的翻译结果] ---")
translation_options_without_terms = {
  "source_lang": "auto",
  "target_lang": "English"
}

completion_without_terms = client.chat.completions.create(
  model="qwen-mt-turbo",
  messages=messages,
  extra_body={
    "translation_options": translation_options_without_terms
  }
)
print(completion_without_terms.choices[0].message.content)

print("\n" + "="*50 + "\n") # 对比分隔线

# --- 第二次请求：使用 terms 参数 ---
print("--- [使用术语干预的翻译结果] ---")
translation_options_with_terms = {
  "source_lang": "auto",
  "target_lang": "English",
  "terms": [
    {
      "source": "biosensor",
      "target": "biological sensor"
    },
    {
      "source": "estado de salud del cuerpo",
      "target": "health status of the body"
    }
  ]
}

completion_with_terms = client.chat.completions.create(
  model="qwen-mt-turbo",
  messages=messages,
  extra_body={
    "translation_options": translation_options_with_terms
  }
)
print(completion_with_terms.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
  # 若未配置环境变量，请将下行替换为您的 API Key：api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
messages = [
  {
    "role": "user",
    "content": "El siguiente comando muestra la información de la versión de Thrift instalada."
  }
]
translation_options = {
  "source_lang": "auto",
  "target_lang": "English",
  "tm_list": [
    {
      "source": "Puede utilizar uno de los siguientes métodos para consultar la versión del motor de un clúster:",
      "target": "You can use one of the following methods to query the engine version of a cluster:"
    },
    {
      "source": "La versión de Thrift utilizada por nuestro HBase en la nube es la 0.9.0. Por lo tanto, recomendamos que la versión del cliente también sea la 0.9.0. Puede descargar Thrift 0.9.0 desde aquí. El paquete de código fuente descargado se utilizará posteriormente. Primero debe instalar el entorno de compilación de Thrift. Para la instalación desde el código fuente, puede consultar el sitio web oficial de Thrift.",
      "target": "The version of Thrift used by ApsaraDB for HBase is 0.9.0. Therefore, we recommend that you use Thrift 0.9.0 to create a client. Click here to download Thrift 0.9.0. The downloaded source code package will be used later. You must install the Thrift compiling environment first. For more information, see Thrift official website."
    },
    {
      "source": "Puede instalar el SDK a través de PyPI. El comando de instalación es el siguiente:",
      "target": "You can run the following command in Python Package Index (PyPI) to install Elastic Container Instance SDK for Python:"
    }
  ]
}

completion = client.chat.completions.create(
  model="qwen-mt-plus",
  messages=messages,
  extra_body={
    "translation_options": translation_options
  }
)
print(completion.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
  # 若未配置环境变量，请将下行替换为您的 API Key：api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
messages = [
  {
    "role": "user",
    "content": "La segunda instrucción SELECT devuelve un número que indica la cantidad de filas que habría devuelto la primera instrucción SELECT si no se hubiera utilizado la cláusula LIMIT."
  }
]

# --- 第一次请求：不使用 domains 参数 ---
print("--- [不使用领域提示的翻译结果] ---")
translation_options_without_domains = {
  "source_lang": "auto",
  "target_lang": "English",
}

completion_without_domains = client.chat.completions.create(
  model="qwen-mt-plus",
  messages=messages,
  extra_body={
    "translation_options": translation_options_without_domains
  }
)
print(completion_without_domains.choices[0].message.content)

print("\n" + "="*50 + "\n") # 对比分隔线

# --- 第二次请求：使用 domains 参数 ---
print("--- [使用领域提示的翻译结果] ---")
translation_options_with_domains = {
  "source_lang": "auto",
  "target_lang": "English",
  "domains": "The sentence is from a cloud IT domain. It mainly involves computer-related software development and usage methods, including many terms related to computer software and hardware. Pay attention to professional troubleshooting terminologies and sentence patterns when translating. Translate into this IT domain style."
}

completion_with_domains = client.chat.completions.create(
  model="qwen-mt-plus",
  messages=messages,
  extra_body={
    "translation_options": translation_options_with_domains
  }
)
print(completion_with_domains.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
  # 若未配置环境变量，请将下行替换为您的 API Key：api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
prompt_template = """
# Role
You are a professional legal translation expert, proficient in both Spanish and English, and you are especially skilled at handling commercial contracts and legal documents.

# Task
I need you to translate the following Spanish legal text into professional, accurate, and formal English.

# Translation Requirements
1.  **Fidelity to the Original**: Strictly translate according to the meaning and legal intent of the original text. Do not add or omit information.
2.  **Precise Terminology**: Use standard legal terms common in the Common Law system. For example, "甲方" should be translated as "Party A", "乙方" as "Party B", and "不可抗力" as "Force Majeure".
3.  **Formal Tone**: Maintain the rigorous, objective, and formal style inherent in legal documents.
4.  **Clarity of Language**: The translation must be clear, unambiguous, and conform to the expressive conventions of English legal writing.
5.  **Format Preservation**: Retain the paragraphs, numbering, and basic format of the original text.

# Text to be Translated
{text_to_translate}
"""

# --- 2. 准备待翻译的法律文本 ---
chinese_legal_text = "Este contrato entrará en vigor a partir de la fecha en que ambas partes lo firmen y sellen, y tendrá una vigencia de un año."
final_prompt = prompt_template.format(text_to_translate=chinese_legal_text)

# --- 3. 构建 messages ---
messages = [{"role": "user", "content": final_prompt}]

# --- 4. 发起 API 请求 ---
completion = client.chat.completions.create(model="qwen-mt-plus", messages=messages)

# --- 5. 打印翻译结果 ---
translation_result = completion.choices[0].message.content
print(translation_result)