235 lines
6.9 KiB
Python
235 lines
6.9 KiB
Python
#!/usr/bin/env python3
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"""SQLite 任务持久化"""
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import json
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import sqlite3
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import time
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import uuid
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from config import DB_PATH
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def _conn():
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c = sqlite3.connect(DB_PATH, timeout=30)
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c.row_factory = sqlite3.Row
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return c
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def init_db():
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c = _conn()
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c.execute('''
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CREATE TABLE IF NOT EXISTS tasks (
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id TEXT PRIMARY KEY,
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url TEXT NOT NULL,
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goal TEXT NOT NULL,
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status TEXT DEFAULT 'queued',
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result TEXT DEFAULT 'pending',
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max_steps INTEGER DEFAULT 30,
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timeout INTEGER DEFAULT 600,
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created_at REAL,
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started_at REAL,
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finished_at REAL,
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steps INTEGER DEFAULT 0,
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summary TEXT,
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error TEXT,
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report_path TEXT
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)
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''')
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# 大模型配置表
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c.execute('''
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CREATE TABLE IF NOT EXISTS llm_configs (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name TEXT NOT NULL,
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base_url TEXT NOT NULL,
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api_key TEXT NOT NULL,
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model TEXT NOT NULL,
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vision INTEGER DEFAULT 0,
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temperature REAL DEFAULT 0.2,
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timeout INTEGER DEFAULT 120,
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is_default INTEGER DEFAULT 0,
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created_at REAL
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)
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''')
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# tasks 表迁移:新增模型相关列(老库升级)
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cols = [r[1] for r in c.execute('PRAGMA table_info(tasks)')]
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if 'llm_config_id' not in cols:
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c.execute('ALTER TABLE tasks ADD COLUMN llm_config_id INTEGER')
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if 'llm_name' not in cols:
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c.execute('ALTER TABLE tasks ADD COLUMN llm_name TEXT')
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if 'vision' not in cols:
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c.execute('ALTER TABLE tasks ADD COLUMN vision INTEGER DEFAULT 0')
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# 首次启动:写入默认模型配置
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n = c.execute('SELECT COUNT(*) FROM llm_configs').fetchone()[0]
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if n == 0:
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from config import (LLM_BASE_URL, LLM_API_KEY, LLM_MODEL,
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LLM_TEMPERATURE, LLM_TIMEOUT, DEFAULT_LLM_NAME)
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c.execute(
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'INSERT INTO llm_configs (name, base_url, api_key, model, vision, '
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'temperature, timeout, is_default, created_at) VALUES (?,?,?,?,?,?,?,?,?)',
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(DEFAULT_LLM_NAME, LLM_BASE_URL, LLM_API_KEY, LLM_MODEL, 0,
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LLM_TEMPERATURE, LLM_TIMEOUT, 1, time.time()))
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c.commit()
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c.close()
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def create_task(url, goal, max_steps, timeout, llm_config_id=None, llm_name=None, vision=0):
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tid = uuid.uuid4().hex[:12]
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c = _conn()
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c.execute(
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'INSERT INTO tasks (id, url, goal, status, max_steps, timeout, created_at, '
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'llm_config_id, llm_name, vision) VALUES (?,?,?,?,?,?,?,?,?,?)',
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(tid, url, goal, 'queued', max_steps, timeout, time.time(),
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llm_config_id, llm_name, 1 if vision else 0))
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c.commit()
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c.close()
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return tid
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def update_task(tid, **fields):
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allowed = {'status', 'result', 'started_at', 'finished_at', 'steps',
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'summary', 'error', 'report_path'}
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sets = [f'{k}=?' for k in fields if k in allowed]
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vals = [fields[k] for k in fields if k in allowed]
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if not sets:
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return
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c = _conn()
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c.execute(f'UPDATE tasks SET {", ".join(sets)} WHERE id=?', (*vals, tid))
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c.commit()
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c.close()
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def get_task(tid):
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c = _conn()
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row = c.execute('SELECT * FROM tasks WHERE id=?', (tid,)).fetchone()
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c.close()
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return dict(row) if row else None
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def list_tasks(limit=50):
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c = _conn()
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rows = c.execute(
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'SELECT * FROM tasks ORDER BY created_at DESC LIMIT ?', (limit,)
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).fetchall()
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c.close()
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return [dict(r) for r in rows]
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def save_step_log(tid, step):
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"""把单个步骤 JSON 追加到任务目录的 steps.jsonl"""
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from config import TASKS_DIR
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import os
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p = os.path.join(TASKS_DIR, tid, 'steps.jsonl')
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with open(p, 'a', encoding='utf-8') as f:
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f.write(json.dumps(step, ensure_ascii=False) + '\n')
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def load_step_logs(tid):
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from config import TASKS_DIR
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import os
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p = os.path.join(TASKS_DIR, tid, 'steps.jsonl')
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if not os.path.exists(p):
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return []
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out = []
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with open(p, encoding='utf-8') as f:
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for line in f:
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line = line.strip()
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if line:
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try:
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out.append(json.loads(line))
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except json.JSONDecodeError:
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pass
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return out
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# ========== 大模型配置 ==========
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def list_llm_configs():
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c = _conn()
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rows = c.execute(
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'SELECT * FROM llm_configs ORDER BY is_default DESC, id ASC'
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).fetchall()
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c.close()
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return [dict(r) for r in rows]
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def get_llm_config(cid):
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c = _conn()
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row = c.execute('SELECT * FROM llm_configs WHERE id=?', (cid,)).fetchone()
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c.close()
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return dict(row) if row else None
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def get_default_llm_config():
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c = _conn()
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row = c.execute('SELECT * FROM llm_configs WHERE is_default=1').fetchone()
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if not row:
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row = c.execute('SELECT * FROM llm_configs ORDER BY id ASC').fetchone()
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c.close()
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return dict(row) if row else None
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def create_llm_config(name, base_url, api_key, model, vision=0,
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temperature=0.2, timeout=120, is_default=False):
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c = _conn()
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if is_default:
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c.execute('UPDATE llm_configs SET is_default=0')
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c.execute(
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'INSERT INTO llm_configs (name, base_url, api_key, model, vision, '
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'temperature, timeout, is_default, created_at) VALUES (?,?,?,?,?,?,?,?,?)',
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(name, base_url, api_key, model, 1 if vision else 0,
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temperature, timeout, 1 if is_default else 0, time.time()))
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c.commit()
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cid = c.execute('SELECT last_insert_rowid()').fetchone()[0]
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c.close()
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return cid
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def update_llm_config(cid, **fields):
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allowed = {'name', 'base_url', 'api_key', 'model', 'vision',
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'temperature', 'timeout', 'is_default'}
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c = _conn()
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if fields.get('is_default'):
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c.execute('UPDATE llm_configs SET is_default=0')
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sets = []
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vals = []
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for k, v in fields.items():
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if k not in allowed:
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continue
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if k == 'vision':
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v = 1 if v else 0
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if k == 'is_default':
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v = 1 if v else 0
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sets.append(f'{k}=?')
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vals.append(v)
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if sets:
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c.execute(f'UPDATE llm_configs SET {", ".join(sets)} WHERE id=?', (*vals, cid))
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c.commit()
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c.close()
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def delete_llm_config(cid):
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c = _conn()
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c.execute('DELETE FROM llm_configs WHERE id=?', (cid,))
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c.commit()
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c.close()
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def set_default_llm_config(cid):
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c = _conn()
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c.execute('UPDATE llm_configs SET is_default=0')
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c.execute('UPDATE llm_configs SET is_default=1 WHERE id=?', (cid,))
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c.commit()
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c.close()
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def llm_config_to_dict(row):
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"""把配置行转成 llm.py 可用的 dict(不含数据库元信息)"""
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return {
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'base_url': row['base_url'],
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'api_key': row['api_key'],
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'model': row['model'],
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'temperature': row['temperature'],
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'timeout': row['timeout'],
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'vision': bool(row['vision']),
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}
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