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使用jingrow统一crud函数重构apps/jingrow/jingrow/ai/pagetype/local_ai_agent/__init__.py

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jingrow 2025-10-31 19:50:29 +08:00
parent 5018c4bead
commit 475a6dfab3
1 changed files with 9 additions and 11 deletions
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20
apps/jingrow/jingrow/ai/pagetype/local_ai_agent/__init__.py
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@ -3,14 +3,13 @@
import jingrow
import logging
from jingrow.utils.jingrow_api import get_record_list, get_pagetype_module_app, get_record
from jingrow.utils.jinja import render_template
def _get_all_local_ai_agents():
"""获取所有启用的事件触发 Local Ai Agent，支持按PageType和Module分组缓存返回。
"""
res = get_record_list(
data = jingrow.get_list(
"Local Ai Agent",
filters=[["enabled", "=", 1], ["trigger_mode", "=", "Event Trigger"]],
fields=[
@ -23,7 +22,6 @@ def _get_all_local_ai_agents():
"condition",
],
)
data = res.get("data", []) if res.get("success") else []
agents: dict[str, list[dict]] = {}
for agent in data:
@ -69,8 +67,8 @@ def run_agent(pg=None, method=None, event=None, page=None, **kwargs):
# 获取 pagetype 所属 module（通过 API 获取 module/app）
module_name = None
try:
ma = get_pagetype_module_app(pg_pagetype)
if ma.get("success"):
ma = jingrow.get_module_app(pg_pagetype)
if isinstance(ma, dict) and ma.get("success"):
module_name = ma.get("module")
except Exception:
module_name = None
@ -120,9 +118,9 @@ def run_agent(pg=None, method=None, event=None, page=None, **kwargs):
_nm = base_ctx.get("name") or _get_pg_field(pg, "name")
pg_ctx = base_ctx or {}
if _pt and _nm:
api_res = get_record(str(_pt), str(_nm))
if api_res and api_res.get("success") and isinstance(api_res.get("data"), dict):
pg_ctx = api_res.get("data")
api_res = jingrow.get_pg(str(_pt), str(_nm))
if isinstance(api_res, dict):
pg_ctx = api_res
result = render_template(cond_tpl, {"pg": pg_ctx})
if str(result).strip().lower() in ("true", "1", "yes"):
trigger = True
@ -148,9 +146,9 @@ def enqueue_local_ai_agent(pg, agent_name):
此函数会读取本地智能体配置，调用本地任务创建函数以执行远端/本地智能体。
"""
try:
# 通过 API 获取 Local Ai Agent 详情
res = get_record_list("Local Ai Agent", filters=[["name", "=", agent_name]], fields=["name", "agent_name"], limit=1)
agent = (res.get("data") or [None])[0] if res.get("success") else None
# 通过统一 CRUD 获取 Local Ai Agent 详情
items = jingrow.get_list("Local Ai Agent", filters=[["name", "=", agent_name]], fields=["name", "agent_name"], limit=1)
agent = (items or [None])[0]
if not agent:
return