konjacpotato
80978ff304
All checks were successful
Gitea Actions Demo / deploy (push) Successful in 13s
111 lines
3.6 KiB
Python
111 lines
3.6 KiB
Python
import json
|
|
from datetime import datetime, timedelta, timezone
|
|
import re
|
|
from typing import Any, Dict, List, Optional
|
|
|
|
from openai import OpenAI
|
|
|
|
from config.settings import settings
|
|
from llm import prompt as prompts
|
|
from utils.logger import logger
|
|
from llm.prompts.daily_article_prompt import PROMPT_DAILY_ARTICLE
|
|
|
|
|
|
BASE_URL = "https://dashscope.aliyuncs.com/compatible-mode/v1"
|
|
MODEL = "deepseek-v3.2"
|
|
|
|
|
|
def _make_client() -> OpenAI:
|
|
return OpenAI(api_key=settings.DASHSCOPE_API_KEY, base_url=BASE_URL)
|
|
|
|
|
|
def _call_model(system_prompt: Optional[str], user_prompt: str, stream: bool = False, enable_search: bool = False) -> Any:
|
|
client = _make_client()
|
|
messages = []
|
|
if system_prompt:
|
|
messages.append({"role": "system", "content": system_prompt})
|
|
messages.append({"role": "user", "content": user_prompt})
|
|
|
|
# Non-streaming call for simplicity
|
|
resp = client.chat.completions.create(model=MODEL, messages=messages, stream=stream, extra_body={"enable_search": enable_search})
|
|
# When stream=False the SDK typically returns a full object; content location may vary.
|
|
# We'll try common access patterns.
|
|
try:
|
|
# OpenAI-compatible: resp.choices[0].message.content
|
|
return resp.choices[0].message.content
|
|
except Exception:
|
|
try:
|
|
# fallback: resp.choices[0].text
|
|
return resp.choices[0].text
|
|
except Exception:
|
|
# As last resort, return raw resp
|
|
return resp
|
|
|
|
|
|
def _extract_json(text: str) -> str:
|
|
"""Attempt to extract the first JSON object/array from text."""
|
|
if not isinstance(text, str):
|
|
raise ValueError("Expected text to be str")
|
|
# Find first '[' or '{'
|
|
start_idx = None
|
|
for i, ch in enumerate(text):
|
|
if ch in "[{":
|
|
start_idx = i
|
|
break
|
|
if start_idx is None:
|
|
raise ValueError("No JSON object/array found in text")
|
|
|
|
# Try to find a matching closing bracket by scanning and counting
|
|
stack = []
|
|
for j in range(start_idx, len(text)):
|
|
ch = text[j]
|
|
if ch in "{[":
|
|
stack.append(ch)
|
|
elif ch in "]}":
|
|
if not stack:
|
|
continue
|
|
opening = stack.pop()
|
|
if (opening == "{" and ch != "}") or (opening == "[" and ch != "]"):
|
|
# mismatched, continue
|
|
continue
|
|
if not stack:
|
|
return text[start_idx : j + 1]
|
|
|
|
# Fallback: try regex to capture last '}' or ']' occurrence
|
|
m = re.search(r"(\{.*\}|\[.*\])", text, re.S)
|
|
if m:
|
|
return m.group(1)
|
|
raise ValueError("Could not extract JSON from model output")
|
|
|
|
|
|
def _parse_json_safe(text: str) -> Any:
|
|
try:
|
|
return json.loads(text)
|
|
except Exception:
|
|
# try to extract JSON substring
|
|
jtext = _extract_json(text)
|
|
return json.loads(jtext)
|
|
|
|
|
|
def generate_daily_article() -> List[Dict[str, Any]]:
|
|
"""Call PROMPT_DAILY_ARTICLE to generate a daily article."""
|
|
logger.debug(f"prompt for generate_daily_article:\n{PROMPT_DAILY_ARTICLE}")
|
|
|
|
content = _call_model(system_prompt=None, user_prompt=PROMPT_DAILY_ARTICLE, enable_search=True)
|
|
logger.debug(f"raw output from generate_daily_article:\n{content}")
|
|
if isinstance(content, (dict, list)):
|
|
return content
|
|
text = content if isinstance(content, str) else str(content)
|
|
data = _parse_json_safe(text)
|
|
logger.debug(f"result for generate_daily_article:\n{data}")
|
|
return data
|
|
|
|
|
|
|
|
|
|
|
|
# if __name__ == "__main__":
|
|
# content = generate_daily_article()
|
|
# article = content["阶段4_今日文章"]["文章正文"]
|
|
# print(article)
|