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256 lines
7.9 KiB
256 lines
7.9 KiB
# -*- coding: utf-8 -*-
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import time
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import httpx
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import json
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def fetch_llm_generate_task(odoo_base_url="http://localhost:8069"):
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"""
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从 Odoo 接口获取待生成的 LLM 任务数据
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Args:
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odoo_base_url: Odoo 服务地址，默认 http://localhost:8069
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Returns:
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dict or None: 返回获取到的任务数据，包含以下字段：
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- id: 记录ID
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- final_prompt: 最终提示词
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- system_prompt: 系统提示词
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- user_prompt: 用户提示词
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如果没有待生成的任务，返回 None
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"""
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url = f"{odoo_base_url}/api/local-llm-generate/fetch"
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headers = {
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"Content-Type": "application/json"
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}
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payload = {}
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try:
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print(f"[INFO] 正在请求 Odoo 接口: {url}")
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response = httpx.post(
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url,
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headers=headers,
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json=payload,
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timeout=30
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)
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response.raise_for_status()
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data = response.json()
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# print(f"[INFO] 接口返回数据: {json.dumps(data, ensure_ascii=False, indent=2)}")
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# 检查是否返回了 {"data": null}（没有待生成任务）
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if isinstance(data, dict) and 'data' in data and data['data'] is None:
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print("[INFO] 当前没有待生成的 LLM 任务")
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exit(1)
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# 返回获取到的任务数据（包含 id, final_prompt, system_prompt, user_prompt）
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if isinstance(data, dict) and 'id' in data:
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print(f"[SUCCESS] 获取到任务数据, record_id={data['id']}")
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return data
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print(f"[WARNING] 返回数据格式不符合预期: {data}")
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return None
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except httpx.TimeoutException:
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print("[ERROR] 请求超时")
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return None
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except httpx.ConnectError as e:
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print(f"[ERROR] 连接错误: {e}")
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return None
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except httpx.HTTPStatusError as e:
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print(f"[ERROR] HTTP 错误: {e}")
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return None
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except Exception as e:
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print(f"[ERROR] 发生未知错误: {e}")
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return None
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def call_llm_generate(task_data, max_retries=3):
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"""
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调用本地 Ollama LLM 生成内容
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Args:
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task_data: 包含 final_prompt, system_prompt, user_prompt 的字典
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max_retries: 最大重试次数，默认 max_retries 次
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Returns:
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str: 生成的内容，如果失败返回 "failed"
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"""
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if task_data is None:
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print("[ERROR] task_data 为 None，无法调用 LLM")
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return "failed"
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# 提取 task_data 中的字段
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final_prompt = task_data.get('final_prompt', '')
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system_prompt = task_data.get('system_prompt', '')
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user_prompt = task_data.get('user_prompt', '')
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record_id = task_data.get('id', 'unknown')
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print(f"[INFO] 开始为 record_id={record_id} 调用本地 Ollama")
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# Ollama API 地址
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ollama_url = "http://localhost:11434/v1/chat/completions"
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# 组装 messages
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messages = []
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if system_prompt:
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messages.append({"role": "system", "content": system_prompt})
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if final_prompt:
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messages.append({"role": "user", "content": final_prompt})
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# 请求体
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payload = {
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"model": "kimi-k2.5:cloud",
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"messages": messages,
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"stream": False
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}
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# 重试机制
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for attempt in range(1, max_retries + 1):
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try:
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print(f"[INFO] 第 {attempt} 次尝试调用 Ollama...")
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response = httpx.post(
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ollama_url,
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json=payload,
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timeout=600
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)
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response.raise_for_status()
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result = response.json()
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# 提取生成的内容
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if "choices" in result and len(result["choices"]) > 0:
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generated_content = result["choices"][0].get("message", {}).get("content", "")
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if generated_content:
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print(f"[SUCCESS] 第 {attempt} 次尝试成功，生成长度: {len(generated_content)} 字符")
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return generated_content
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else:
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print(f"[WARNING] 第 {attempt} 次尝试返回空内容")
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else:
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print(f"[WARNING] 第 {attempt} 次尝试返回格式异常: {result}")
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except httpx.TimeoutException:
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print(f"[ERROR] 第 {attempt} 次尝试超时")
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except httpx.ConnectError as e:
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print(f"[ERROR] 第 {attempt} 次尝试连接错误: {e}")
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except httpx.HTTPStatusError as e:
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print(f"[ERROR] 第 {attempt} 次尝试 HTTP 错误: {e}")
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except Exception as e:
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print(f"[ERROR] 第 {attempt} 次尝试发生未知错误: {e}")
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# 如果不是最后一次尝试，等待后继续
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if attempt < max_retries:
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import time
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print(f"[INFO] 等待 2 秒后重试...")
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time.sleep(2)
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# 所有重试都失败了
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print(f"[FAILED] 经过 {max_retries} 次尝试后仍然失败")
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return "failed"
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def upload_llm_result(odoo_base_url, upload_data):
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"""
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上传 LLM 生成结果到 Odoo
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Args:
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odoo_base_url: Odoo 服务地址
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upload_data: 包含以下字段的字典：
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- record_id: int, 记录ID
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- status: str, "success" 或 "failed"
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- result: str, 成功时的生成内容
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- error_message: str, 失败时的错误信息
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Returns:
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bool: 上传成功返回 True，失败返回 False
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"""
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url = f"{odoo_base_url}/api/alpha-idea/result"
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headers = {
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"Content-Type": "application/json"
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}
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try:
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print(f"[INFO] 正在上传结果到 Odoo: {url}")
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print(f"[INFO] 上传数据: {json.dumps(upload_data, ensure_ascii=False)}")
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response = httpx.post(
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url,
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headers=headers,
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json=upload_data,
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timeout=30
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)
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response.raise_for_status()
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result = response.json()
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print(f"[INFO] 上传结果接口返回: {json.dumps(result, ensure_ascii=False)}")
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# 检查返回结果
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if isinstance(result, dict):
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if result.get('status') == 'success' or result.get('success') is True:
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print(f"[SUCCESS] 结果上传成功")
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return True
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print(f"[WARNING] 结果上传可能失败: {result}")
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return False
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except httpx.TimeoutException:
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print("[ERROR] 上传结果超时")
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return False
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except httpx.ConnectError as e:
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print(f"[ERROR] 上传结果连接错误: {e}")
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return False
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except httpx.HTTPStatusError as e:
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print(f"[ERROR] 上传结果 HTTP 错误: {e}")
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return False
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except Exception as e:
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print(f"[ERROR] 上传结果发生未知错误: {e}")
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return False
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if __name__ == "__main__":
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# 配置 Odoo 服务地址
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ODOO_BASE_URL = "https://quantify.erhe.top"
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print("开始获取 LLM 生成任务...")
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while True:
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# 获取任务数据
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task_data = fetch_llm_generate_task(odoo_base_url=ODOO_BASE_URL)
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if not task_data:
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break
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llm_generate_result = call_llm_generate(task_data)
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print(llm_generate_result)
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if llm_generate_result != "failed":
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print("开始上传 LLM 生成结果...")
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upload_data = {
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'record_id': task_data['id'],
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'status': 'success',
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'result': llm_generate_result
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}
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else:
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print("开始上传 LLM 生成结果失败...")
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upload_data = {
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'record_id': task_data['id'],
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'status': 'failed',
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'result': '',
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'error_message': 'generate failed'
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}
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# 上传结果到 Odoo
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upload_success = upload_llm_result(ODOO_BASE_URL, upload_data)
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if upload_success:
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print("[SUCCESS] 整个流程完成")
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else:
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print("[FAILED] 结果上传失败")
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time.sleep(60)
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