2350 lines
104 KiB
Python
2350 lines
104 KiB
Python
from __future__ import annotations
|
||
|
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from typing import Any, Dict, List, Optional, Callable, Awaitable
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from urllib.parse import urljoin
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import json
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import re
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import asyncio
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import time
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import hashlib
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from collections import deque
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from agentui.providers.http_client import build_client
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from agentui.common.vendors import detect_vendor
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from agentui.pipeline.templating import (
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_OUT_MACRO_RE,
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_VAR_MACRO_RE,
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_PROMPT_MACRO_RE,
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_OUT_SHORT_RE,
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_BRACES_RE,
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_split_path,
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_get_by_path,
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_stringify_for_template,
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_deep_find_text,
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_best_text_from_outputs,
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render_template_simple,
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eval_condition_expr,
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||
)
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from agentui.pipeline.storage import load_var_store, save_var_store, clear_var_store
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from agentui.common.cancel import is_cancelled, clear_cancel
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# --- Templating helpers are imported from agentui.pipeline.templating ---
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# moved to agentui.pipeline.templating
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# moved to agentui.pipeline.templating
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# moved to agentui.pipeline.templating
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# moved to agentui.pipeline.templating
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def _extract_out_node_id_from_ref(s: Any) -> Optional[str]:
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"""
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Извлекает node_id из строки с макросом [[OUT:nodeId(.path)*]].
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Возвращает None, если макрос не найден.
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"""
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if not isinstance(s, str):
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||
return None
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m = _OUT_MACRO_RE.search(s)
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if not m:
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||
return None
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body = m.group(1).strip()
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node_id = body.split(".", 1)[0].strip()
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return node_id or None
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||
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||
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def _resolve_in_value(source: Any, context: Dict[str, Any], values: Dict[str, Dict[str, Any]]) -> Any:
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"""
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||
Разрешает входные связи/макросы в значение для inputs:
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||
- Нестроковые значения возвращаются как есть
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||
- "macro:path" → берёт значение из context по точечному пути
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||
- "[[VAR:path]]" → берёт значение из context
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||
- "[[OUT:nodeId(.path)*]]" → берёт из уже вычисленных выходов ноды
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||
- "nodeId(.path)*" → ссылка на выходы ноды
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||
- Если передан список ссылок — вернёт список разрешённых значений
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- Иначе пытается взять из context по пути; если не найдено, оставляет исходную строку
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"""
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# Поддержка массивов ссылок (для multi-depends или будущих списковых входов)
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||
if isinstance(source, list):
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||
return [_resolve_in_value(s, context, values) for s in source]
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||
if not isinstance(source, str):
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return source
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||
s = source.strip()
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||
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# macro:path
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if s.lower().startswith("macro:"):
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||
path = s.split(":", 1)[1].strip()
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return _get_by_path(context, path)
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||
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# [[VAR: path]]
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||
m = _VAR_MACRO_RE.fullmatch(s)
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||
if m:
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||
path = m.group(1).strip()
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||
return _get_by_path(context, path)
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||
|
||
# [[OUT: nodeId(.path)*]]
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||
m = _OUT_MACRO_RE.fullmatch(s)
|
||
if m:
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||
body = m.group(1).strip()
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||
if "." in body:
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node_id, rest = body.split(".", 1)
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||
node_val = values.get(node_id)
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||
return _get_by_path(node_val, rest)
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||
node_val = values.get(body)
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return node_val
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||
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# "nodeId(.path)*"
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||
if "." in s:
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node_id, rest = s.split(".", 1)
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||
if node_id in values:
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||
return _get_by_path(values.get(node_id), rest)
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||
if s in values:
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||
return values.get(s)
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||
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||
# fallback: from context by dotted path or raw string
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||
ctx_val = _get_by_path(context, s)
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||
return ctx_val if ctx_val is not None else source
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||
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||
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||
# moved to agentui.pipeline.templating
|
||
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||
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class ExecutionError(Exception):
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||
pass
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class Node:
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||
type_name: str = "Base"
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||
def __init__(self, node_id: str, config: Optional[Dict[str, Any]] = None) -> None:
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||
self.node_id = node_id
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||
self.config = config or {}
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||
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async def run(self, inputs: Dict[str, Any], context: Dict[str, Any]) -> Dict[str, Any]: # noqa: D401
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"""Execute node with inputs and context. Return dict of outputs."""
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raise NotImplementedError
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||
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||
# Регистрация поддерживаемых типов нод (минимальный набор)
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NODE_REGISTRY: Dict[str, Any] = {}
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||
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class PipelineExecutor:
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||
def __init__(self, pipeline: Dict[str, Any]) -> None:
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||
self.pipeline = pipeline
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||
self.nodes_by_id: Dict[str, Node] = {}
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||
for n in pipeline.get("nodes", []):
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||
node_cls = NODE_REGISTRY.get(n.get("type"))
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||
if not node_cls:
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raise ExecutionError(f"Unknown node type: {n.get('type')}")
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||
self.nodes_by_id[n["id"]] = node_cls(n["id"], n.get("config", {}))
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# Настройки режима исполнения (с дефолтами из default_pipeline)
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try:
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self.loop_mode = str(self.pipeline.get("loop_mode", "dag")).lower().strip() or "dag"
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||
except Exception:
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||
self.loop_mode = "dag"
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try:
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||
self.loop_max_iters = int(self.pipeline.get("loop_max_iters", 1000))
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except Exception:
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||
self.loop_max_iters = 1000
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try:
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self.loop_time_budget_ms = int(self.pipeline.get("loop_time_budget_ms", 10000))
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except Exception:
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self.loop_time_budget_ms = 10000
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# Идентификатор пайплайна и политика очистки стора переменных
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try:
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self.pipeline_id = str(self.pipeline.get("id", "pipeline_editor")) or "pipeline_editor"
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||
except Exception:
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||
self.pipeline_id = "pipeline_editor"
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try:
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self.clear_var_store = bool(self.pipeline.get("clear_var_store", True))
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||
except Exception:
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||
self.clear_var_store = True
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||
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# В памяти держим актуальный STORE (доступен в шаблонах через {{ store.* }} и [[STORE:*]])
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self._store: Dict[str, Any] = {}
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||
# Локальный журнал выполнения для человекочитаемого трейсинга
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||
self._exec_log: List[str] = []
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||
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||
async def run(
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self,
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||
context: Dict[str, Any],
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||
trace: Optional[Callable[[Dict[str, Any]], Awaitable[None]]] = None,
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||
) -> Dict[str, Any]:
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||
"""
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||
Точка входа исполнителя. Переключает режим между:
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||
- "dag": волновое исполнение с барьерами (исходное поведение)
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||
- "iterative": итеративное исполнение с очередью и гейтами
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||
"""
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||
# Инициализация STORE по политике
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||
try:
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||
if self.clear_var_store:
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||
clear_var_store(self.pipeline_id)
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self._store = {}
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||
else:
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||
self._store = load_var_store(self.pipeline_id) or {}
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||
except Exception:
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||
self._store = {}
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||
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||
# Перед стартом прогона сбрасываем возможный «старый» флаг отмены
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||
try:
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||
clear_cancel(self.pipeline_id)
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||
except Exception:
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||
pass
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||
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||
mode = (self.loop_mode or "dag").lower()
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||
if mode == "iterative":
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res = await self._run_iterative(context, trace)
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||
else:
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res = await self._run_dag(context, trace)
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||
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# На всякий случай финальная запись стора (если были изменения)
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||
try:
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||
save_var_store(self.pipeline_id, self._store)
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||
except Exception:
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||
pass
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return res
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async def _run_dag(
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self,
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context: Dict[str, Any],
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trace: Optional[Callable[[Dict[str, Any]], Awaitable[None]]] = None,
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||
) -> Dict[str, Any]:
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||
"""
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||
Исходная волновая модель (DAG) — без изменений поведения.
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||
"""
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||
nodes: List[Dict[str, Any]] = list(self.pipeline.get("nodes", []))
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||
id_set = set(self.nodes_by_id.keys())
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||
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# Собираем зависимости: node_id -> set(parent_ids), и обратные связи dependents
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||
deps_map: Dict[str, set] = {n["id"]: set() for n in nodes}
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||
dependents: Dict[str, set] = {n["id"]: set() for n in nodes}
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# Гейты для ветвлений: child_id -> List[(parent_id, gate_name)] (gate_name: "true"/"false")
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gate_deps: Dict[str, List[tuple[str, str]]] = {n["id"]: [] for n in nodes}
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||
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for n in nodes:
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||
nid = n["id"]
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||
for _, source in (n.get("in") or {}).items():
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||
# Разворачиваем массивы ссылок (multi-depends)
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||
sources = source if isinstance(source, list) else [source]
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for src in sources:
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if not isinstance(src, str):
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||
# Нестрочные значения и массивы констант — зависимостей нет
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||
continue
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||
if src.startswith("macro:"):
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# Макросы берутся из контекста, без зависимостей
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||
continue
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||
# [[VAR:...]] — макрос из контекста, зависимостей нет
|
||
if re.fullmatch(r"\[\[\s*VAR\s*[:\s]\s*[^\]]+\s*\]\]", src.strip()):
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continue
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||
# [[OUT:nodeId(.key)*]] — зависимость от указанной ноды
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||
out_ref_node = _extract_out_node_id_from_ref(src)
|
||
if out_ref_node and out_ref_node in id_set:
|
||
deps_map[nid].add(out_ref_node)
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||
dependents[out_ref_node].add(nid)
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||
continue
|
||
# Ссылки вида "node.outKey" или "node"
|
||
src_id = src.split(".", 1)[0] if "." in src else src
|
||
if src_id in id_set:
|
||
# Если указали конкретный outKey (например, nIf.true / nIf.false),
|
||
# трактуем это ТОЛЬКО как гейт (НЕ как топологическую зависимость), чтобы избежать дедлоков.
|
||
is_gate = False
|
||
if "." in src:
|
||
try:
|
||
_, out_name = src.split(".", 1)
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||
on = str(out_name).strip().lower()
|
||
if on in {"true", "false"}:
|
||
gate_deps[nid].append((src_id, on))
|
||
is_gate = True
|
||
except Exception:
|
||
is_gate = False
|
||
if not is_gate:
|
||
deps_map[nid].add(src_id)
|
||
dependents[src_id].add(nid)
|
||
|
||
# Входящие степени и первая волна
|
||
in_degree: Dict[str, int] = {nid: len(deps) for nid, deps in deps_map.items()}
|
||
ready: List[str] = [nid for nid, deg in in_degree.items() if deg == 0]
|
||
|
||
processed: List[str] = []
|
||
values: Dict[str, Dict[str, Any]] = {}
|
||
last_result: Dict[str, Any] = {}
|
||
last_node_id: Optional[str] = None
|
||
node_def_by_id: Dict[str, Dict[str, Any]] = {n["id"]: n for n in nodes}
|
||
user_vars: Dict[str, Any] = {}
|
||
|
||
try:
|
||
parallel_limit = int(self.pipeline.get("parallel_limit", 8))
|
||
except Exception:
|
||
parallel_limit = 8
|
||
if parallel_limit <= 0:
|
||
parallel_limit = 1
|
||
|
||
async def exec_one(node_id: str, values_snapshot: Dict[str, Any], wave_num: int) -> tuple[str, Dict[str, Any]]:
|
||
ndef = node_def_by_id.get(node_id)
|
||
if not ndef:
|
||
raise ExecutionError(f"Node definition not found: {node_id}")
|
||
node = self.nodes_by_id[node_id]
|
||
|
||
ctx = dict(context)
|
||
ctx["OUT"] = values_snapshot
|
||
try:
|
||
ctx["vars"] = dict(user_vars)
|
||
except Exception:
|
||
ctx["vars"] = {}
|
||
# STORE доступен в шаблонах
|
||
try:
|
||
ctx["store"] = dict(self._store)
|
||
except Exception:
|
||
ctx["store"] = {}
|
||
|
||
# Pipeline meta (includes http_timeout_sec) available to nodes via context.meta
|
||
try:
|
||
ctx["meta"] = {
|
||
"id": self.pipeline_id,
|
||
"loop_mode": self.loop_mode,
|
||
"loop_max_iters": self.loop_max_iters,
|
||
"loop_time_budget_ms": self.loop_time_budget_ms,
|
||
"clear_var_store": self.clear_var_store,
|
||
"http_timeout_sec": float(self.pipeline.get("http_timeout_sec", 60) or 60),
|
||
# v1: стратегия извлечения текста для [[OUTx]]
|
||
"text_extract_strategy": str(self.pipeline.get("text_extract_strategy", "auto") or "auto"),
|
||
"text_extract_json_path": str(self.pipeline.get("text_extract_json_path", "") or ""),
|
||
"text_join_sep": str(self.pipeline.get("text_join_sep", "\n") or "\n"),
|
||
# v2: коллекция пресетов парсинга для выбора в нодах
|
||
"text_extract_presets": list(self.pipeline.get("text_extract_presets", []) or []),
|
||
}
|
||
except Exception:
|
||
pass
|
||
# Прокидываем trace‑функцию в контекст, чтобы ноды могли посылать события (SSE лог)
|
||
try:
|
||
if trace is not None:
|
||
ctx["_trace"] = trace
|
||
except Exception:
|
||
pass
|
||
|
||
inputs: Dict[str, Any] = {}
|
||
for name, source in (ndef.get("in") or {}).items():
|
||
if isinstance(source, list):
|
||
inputs[name] = [_resolve_in_value(s, ctx, values_snapshot) for s in source]
|
||
else:
|
||
inputs[name] = _resolve_in_value(source, ctx, values_snapshot)
|
||
|
||
if trace is not None:
|
||
try:
|
||
await trace({
|
||
"event": "node_start",
|
||
"node_id": ndef["id"],
|
||
"node_type": node.type_name,
|
||
"wave": wave_num,
|
||
"ts": int(time.time() * 1000),
|
||
})
|
||
except Exception:
|
||
pass
|
||
|
||
started = time.perf_counter()
|
||
try:
|
||
print(f"TRACE start: {ndef['id']} ({node.type_name})")
|
||
except Exception:
|
||
pass
|
||
try:
|
||
out = await node.run(inputs, ctx)
|
||
except Exception as exc:
|
||
if trace is not None:
|
||
try:
|
||
await trace({
|
||
"event": "node_error",
|
||
"node_id": ndef["id"],
|
||
"node_type": node.type_name,
|
||
"wave": wave_num,
|
||
"ts": int(time.time() * 1000),
|
||
"error": str(exc),
|
||
})
|
||
except Exception:
|
||
pass
|
||
raise
|
||
else:
|
||
dur_ms = int((time.perf_counter() - started) * 1000)
|
||
if trace is not None:
|
||
try:
|
||
await trace({
|
||
"event": "node_done",
|
||
"node_id": ndef["id"],
|
||
"node_type": node.type_name,
|
||
"wave": wave_num,
|
||
"ts": int(time.time() * 1000),
|
||
"duration_ms": dur_ms,
|
||
})
|
||
except Exception:
|
||
pass
|
||
try:
|
||
prev_text = ""
|
||
try:
|
||
from agentui.pipeline.templating import _best_text_from_outputs as _bt # type: ignore
|
||
if isinstance(out, dict):
|
||
prev_text = _bt(out) or ""
|
||
except Exception:
|
||
prev_text = ""
|
||
if isinstance(prev_text, str) and len(prev_text) > 200:
|
||
prev_text = prev_text[:200]
|
||
print(f"TRACE done: {ndef['id']} ({node.type_name}) dur={dur_ms}ms text={prev_text!r}")
|
||
except Exception:
|
||
pass
|
||
return node_id, out
|
||
|
||
wave_idx = 0
|
||
while ready:
|
||
# Ручная отмена исполнения (DAG)
|
||
try:
|
||
if is_cancelled(self.pipeline_id):
|
||
if trace is not None:
|
||
try:
|
||
await trace({
|
||
"event": "cancelled",
|
||
"node_id": "",
|
||
"node_type": "Pipeline",
|
||
"wave": wave_idx,
|
||
"ts": int(time.time() * 1000),
|
||
})
|
||
except Exception:
|
||
pass
|
||
# Снимок и финальный EXEC TRACE
|
||
try:
|
||
self._commit_snapshot(context, values, last_node_id or "")
|
||
except Exception:
|
||
pass
|
||
try:
|
||
summary = " -> ".join(self._exec_log) if getattr(self, "_exec_log", None) else ""
|
||
if summary and isinstance(self._store.get("snapshot"), dict):
|
||
self._store["snapshot"]["EXEC_TRACE"] = summary
|
||
save_var_store(self.pipeline_id, self._store)
|
||
except Exception:
|
||
pass
|
||
return last_result
|
||
except Exception:
|
||
pass
|
||
|
||
wave_nodes = list(ready)
|
||
ready = []
|
||
wave_results: Dict[str, Dict[str, Any]] = {}
|
||
values_snapshot = dict(values)
|
||
|
||
for i in range(0, len(wave_nodes), parallel_limit):
|
||
chunk = wave_nodes[i : i + parallel_limit]
|
||
results = await asyncio.gather(
|
||
*(exec_one(nid, values_snapshot, wave_idx) for nid in chunk),
|
||
return_exceptions=False,
|
||
)
|
||
for nid, out in results:
|
||
wave_results[nid] = out
|
||
last_result = out
|
||
last_node_id = nid
|
||
try:
|
||
ndef = node_def_by_id.get(nid) or {}
|
||
ntype = ndef.get("type", "")
|
||
if ntype == "If":
|
||
expr = str((ndef.get("config") or {}).get("expr", ""))
|
||
resb = False
|
||
try:
|
||
if isinstance(out, dict):
|
||
resb = bool(out.get("result"))
|
||
except Exception:
|
||
resb = False
|
||
self._exec_log.append(f"If (#{nid}) {expr} => {str(resb).lower()}")
|
||
else:
|
||
self._exec_log.append(f"{nid}({ntype})")
|
||
except Exception:
|
||
pass
|
||
|
||
values.update(wave_results)
|
||
processed.extend(wave_nodes)
|
||
|
||
try:
|
||
for _nid, out in wave_results.items():
|
||
if isinstance(out, dict):
|
||
v = out.get("vars")
|
||
if isinstance(v, dict):
|
||
user_vars.update(v)
|
||
except Exception:
|
||
pass
|
||
|
||
# Обновляем и сохраняем STORE, если были новые переменные из SetVars/прочих нод
|
||
try:
|
||
merged: Dict[str, Any] = {}
|
||
for _nid, out in wave_results.items():
|
||
if isinstance(out, dict) and isinstance(out.get("vars"), dict):
|
||
merged.update(out.get("vars") or {})
|
||
if merged:
|
||
self._store.update(merged)
|
||
try:
|
||
save_var_store(self.pipeline_id, self._store)
|
||
except Exception:
|
||
pass
|
||
except Exception:
|
||
pass
|
||
|
||
for done in wave_nodes:
|
||
for child in dependents.get(done, ()):
|
||
in_degree[child] -= 1
|
||
next_ready_candidates = [nid for nid, deg in in_degree.items() if deg == 0 and nid not in processed and nid not in wave_nodes]
|
||
|
||
def _gates_ok(child_id: str) -> bool:
|
||
pairs = gate_deps.get(child_id) or []
|
||
if not pairs:
|
||
return True
|
||
missing_seen = False
|
||
for pid, gate in pairs:
|
||
v = values.get(pid)
|
||
if v is None:
|
||
# значение гейта ещё не известно
|
||
missing_seen = True
|
||
continue
|
||
try:
|
||
flag = bool(isinstance(v, dict) and v.get(gate))
|
||
except Exception:
|
||
flag = False
|
||
if not flag:
|
||
return False
|
||
# Семантика "missing gate = pass" как в iterative-режиме:
|
||
# если флаги гейта ещё не известны, но у ребёнка есть реальные родители — допускаем первый запуск.
|
||
# если реальных родителей нет (только гейты) — ждём появления значения гейта.
|
||
if missing_seen:
|
||
real_parents = deps_map.get(child_id) or set()
|
||
if len(real_parents) == 0:
|
||
return False
|
||
return True
|
||
|
||
ready = [nid for nid in next_ready_candidates if _gates_ok(nid)]
|
||
wave_idx += 1
|
||
|
||
if len(processed) != len(nodes):
|
||
remaining = [n["id"] for n in nodes if n["id"] not in processed]
|
||
raise ExecutionError(f"Cycle detected or unresolved dependencies among nodes: {remaining}")
|
||
|
||
# Persist snapshot of macro context and outputs into STORE
|
||
try:
|
||
self._commit_snapshot(context, values, last_node_id or "")
|
||
except Exception:
|
||
pass
|
||
|
||
# Построение и сохранение человекочитаемого EXECUTION TRACE
|
||
try:
|
||
summary = " -> ".join(self._exec_log) if getattr(self, "_exec_log", None) else ""
|
||
if summary:
|
||
try:
|
||
print("===== EXECUTION TRACE =====")
|
||
print(summary)
|
||
print("===== END TRACE =====")
|
||
except Exception:
|
||
pass
|
||
try:
|
||
if isinstance(self._store.get("snapshot"), dict):
|
||
self._store["snapshot"]["EXEC_TRACE"] = summary
|
||
save_var_store(self.pipeline_id, self._store)
|
||
except Exception:
|
||
pass
|
||
except Exception:
|
||
pass
|
||
|
||
return last_result
|
||
|
||
async def _run_iterative(
|
||
self,
|
||
context: Dict[str, Any],
|
||
trace: Optional[Callable[[Dict[str, Any]], Awaitable[None]]] = None,
|
||
) -> Dict[str, Any]:
|
||
"""
|
||
Итеративное исполнение:
|
||
- Очередь готовых задач
|
||
- Повторные пуски допустимы: ребёнок ставится в очередь, когда какой-либо из его родителей обновился после последнего запуска ребёнка
|
||
- Гейты If.true/If.false фильтруют постановку в очередь
|
||
- Ограничения: loop_max_iters, loop_time_budget_ms
|
||
"""
|
||
nodes: List[Dict[str, Any]] = list(self.pipeline.get("nodes", []))
|
||
id_set = set(self.nodes_by_id.keys())
|
||
|
||
# Строим зависимости и гейты (как в DAG)
|
||
deps_map: Dict[str, set] = {n["id"]: set() for n in nodes}
|
||
dependents: Dict[str, set] = {n["id"]: set() for n in nodes}
|
||
gate_deps: Dict[str, List[tuple[str, str]]] = {n["id"]: [] for n in nodes}
|
||
# Обратная карта для гейтов: кто «слушает» изменения конкретного родителя по гейту
|
||
gate_dependents: Dict[str, set] = {n["id"]: set() for n in nodes}
|
||
|
||
for n in nodes:
|
||
nid = n["id"]
|
||
for _, source in (n.get("in") or {}).items():
|
||
sources = source if isinstance(source, list) else [source]
|
||
for src in sources:
|
||
if not isinstance(src, str):
|
||
continue
|
||
if src.startswith("macro:"):
|
||
continue
|
||
if re.fullmatch(r"\[\[\s*VAR\s*[:\s]\s*[^\]]+\s*\]\]", src.strip()):
|
||
continue
|
||
out_ref_node = _extract_out_node_id_from_ref(src)
|
||
if out_ref_node and out_ref_node in id_set:
|
||
# [[OUT:nodeId(.key)*]] — это РЕАЛЬНАЯ топологическая зависимость
|
||
deps_map[nid].add(out_ref_node)
|
||
dependents[out_ref_node].add(nid)
|
||
continue
|
||
src_id = src.split(".", 1)[0] if "." in src else src
|
||
if src_id in id_set:
|
||
# "node.true/false" — ТОЛЬКО гейт (без топологической зависимости)
|
||
is_gate = False
|
||
if "." in src:
|
||
try:
|
||
_, out_name = src.split(".", 1)
|
||
on = str(out_name).strip().lower()
|
||
if on in {"true", "false"}:
|
||
gate_deps[nid].append((src_id, on))
|
||
# Регистрируем обратную зависимость по гейту,
|
||
# чтобы будить ребёнка при изменении флага у родителя
|
||
gate_dependents[src_id].add(nid)
|
||
is_gate = True
|
||
except Exception:
|
||
is_gate = False
|
||
if not is_gate:
|
||
deps_map[nid].add(src_id)
|
||
dependents[src_id].add(nid)
|
||
|
||
# Вспом. структуры состояния
|
||
values: Dict[str, Dict[str, Any]] = {}
|
||
last_result: Dict[str, Any] = {}
|
||
last_node_id: Optional[str] = None
|
||
user_vars: Dict[str, Any] = {}
|
||
node_def_by_id: Dict[str, Dict[str, Any]] = {n["id"]: n for n in nodes}
|
||
|
||
# Версии обновлений нод (инкремент при каждом коммите)
|
||
version: Dict[str, int] = {n["id"]: 0 for n in nodes}
|
||
# Когда ребёнок запускался в последний раз (номер глобального шага)
|
||
last_run_step: Dict[str, int] = {n["id"]: -1 for n in nodes}
|
||
# Глобальный счётчик шагов
|
||
step = 0
|
||
|
||
# Очередь готовых задач
|
||
q: deque[str] = deque()
|
||
|
||
# Начальные готовые — ноды без зависимостей
|
||
in_degree: Dict[str, int] = {nid: len(deps) for nid, deps in deps_map.items()}
|
||
for nid, deg in in_degree.items():
|
||
if deg == 0:
|
||
q.append(nid)
|
||
|
||
def gates_ok(child_id: str) -> bool:
|
||
pairs = gate_deps.get(child_id) or []
|
||
if not pairs:
|
||
return True
|
||
missing_seen = False
|
||
for pid, gate in pairs:
|
||
v = values.get(pid)
|
||
# Если значение гейта ещё не появилось — отмечаем и продолжаем проверку других гейтов
|
||
if v is None:
|
||
missing_seen = True
|
||
continue
|
||
try:
|
||
flag = bool(isinstance(v, dict) and v.get(gate))
|
||
except Exception:
|
||
flag = False
|
||
if not flag:
|
||
return False
|
||
# Если были отсутствующие значения гейтов, то:
|
||
# - у узла есть реальные (топологические) родители → не блокируем (первый запуск допустим)
|
||
# - у узла НЕТ реальных родителей (только гейты) → откладываем до появления значения гейта
|
||
if missing_seen:
|
||
real_parents = deps_map.get(child_id) or set()
|
||
if len(real_parents) == 0:
|
||
return False
|
||
return True
|
||
|
||
# Лимиты
|
||
total_runs = 0
|
||
t0 = time.perf_counter()
|
||
try:
|
||
parallel_limit = int(self.pipeline.get("parallel_limit", 8))
|
||
except Exception:
|
||
parallel_limit = 8
|
||
if parallel_limit <= 0:
|
||
parallel_limit = 1
|
||
|
||
# Асинхронный запуск одной ноды (снимок OUT на момент dequeue)
|
||
async def exec_one(node_id: str, snapshot: Dict[str, Any], wave_num: int) -> tuple[str, Dict[str, Any]]:
|
||
ndef = node_def_by_id.get(node_id)
|
||
if not ndef:
|
||
raise ExecutionError(f"Node definition not found: {node_id}")
|
||
node = self.nodes_by_id[node_id]
|
||
|
||
ctx = dict(context)
|
||
ctx["OUT"] = snapshot
|
||
try:
|
||
ctx["vars"] = dict(user_vars)
|
||
except Exception:
|
||
ctx["vars"] = {}
|
||
# STORE доступен в шаблонах
|
||
try:
|
||
ctx["store"] = dict(self._store)
|
||
except Exception:
|
||
ctx["store"] = {}
|
||
|
||
# Pipeline meta (includes http_timeout_sec) available to nodes via context.meta
|
||
try:
|
||
ctx["meta"] = {
|
||
"id": self.pipeline_id,
|
||
"loop_mode": self.loop_mode,
|
||
"loop_max_iters": self.loop_max_iters,
|
||
"loop_time_budget_ms": self.loop_time_budget_ms,
|
||
"clear_var_store": self.clear_var_store,
|
||
"http_timeout_sec": float(self.pipeline.get("http_timeout_sec", 60) or 60),
|
||
# v1: стратегия извлечения текста для [[OUTx]]
|
||
"text_extract_strategy": str(self.pipeline.get("text_extract_strategy", "auto") or "auto"),
|
||
"text_extract_json_path": str(self.pipeline.get("text_extract_json_path", "") or ""),
|
||
"text_join_sep": str(self.pipeline.get("text_join_sep", "\n") or "\n"),
|
||
# v2: коллекция пресетов парсинга для выбора в нодах
|
||
"text_extract_presets": list(self.pipeline.get("text_extract_presets", []) or []),
|
||
}
|
||
except Exception:
|
||
pass
|
||
# Прокидываем trace‑функцию в контекст, чтобы ноды могли посылать события (SSE лог)
|
||
try:
|
||
if trace is not None:
|
||
ctx["_trace"] = trace
|
||
except Exception:
|
||
pass
|
||
|
||
inputs: Dict[str, Any] = {}
|
||
for name, source in (ndef.get("in") or {}).items():
|
||
if isinstance(source, list):
|
||
inputs[name] = [_resolve_in_value(s, ctx, snapshot) for s in source]
|
||
else:
|
||
inputs[name] = _resolve_in_value(source, ctx, snapshot)
|
||
|
||
if trace is not None:
|
||
try:
|
||
await trace({
|
||
"event": "node_start",
|
||
"node_id": ndef["id"],
|
||
"node_type": node.type_name,
|
||
"wave": wave_num,
|
||
"ts": int(time.time() * 1000),
|
||
})
|
||
except Exception:
|
||
pass
|
||
|
||
started = time.perf_counter()
|
||
try:
|
||
print(f"TRACE start: {ndef['id']} ({node.type_name})")
|
||
except Exception:
|
||
pass
|
||
try:
|
||
out = await node.run(inputs, ctx)
|
||
except Exception as exc:
|
||
if trace is not None:
|
||
try:
|
||
await trace({
|
||
"event": "node_error",
|
||
"node_id": ndef["id"],
|
||
"node_type": node.type_name,
|
||
"wave": wave_num,
|
||
"ts": int(time.time() * 1000),
|
||
"error": str(exc),
|
||
})
|
||
except Exception:
|
||
pass
|
||
raise
|
||
else:
|
||
dur_ms = int((time.perf_counter() - started) * 1000)
|
||
if trace is not None:
|
||
try:
|
||
await trace({
|
||
"event": "node_done",
|
||
"node_id": ndef["id"],
|
||
"node_type": node.type_name,
|
||
"wave": wave_num,
|
||
"ts": int(time.time() * 1000),
|
||
"duration_ms": dur_ms,
|
||
})
|
||
except Exception:
|
||
pass
|
||
try:
|
||
prev_text = ""
|
||
try:
|
||
from agentui.pipeline.templating import _best_text_from_outputs as _bt # type: ignore
|
||
if isinstance(out, dict):
|
||
prev_text = _bt(out) or ""
|
||
except Exception:
|
||
prev_text = ""
|
||
if isinstance(prev_text, str) and len(prev_text) > 200:
|
||
prev_text = prev_text[:200]
|
||
print(f"TRACE done: {ndef['id']} ({node.type_name}) dur={dur_ms}ms text={prev_text!r}")
|
||
except Exception:
|
||
pass
|
||
return node_id, out
|
||
|
||
# Главный цикл
|
||
while q:
|
||
# Ручная отмена исполнения (iterative)
|
||
try:
|
||
if is_cancelled(self.pipeline_id):
|
||
if trace is not None:
|
||
try:
|
||
await trace({
|
||
"event": "cancelled",
|
||
"node_id": "",
|
||
"node_type": "Pipeline",
|
||
"wave": step,
|
||
"ts": int(time.time() * 1000),
|
||
})
|
||
except Exception:
|
||
pass
|
||
# Снимок и финальный EXEC TRACE
|
||
try:
|
||
self._commit_snapshot(context, values, last_node_id or "")
|
||
except Exception:
|
||
pass
|
||
try:
|
||
summary = " -> ".join(self._exec_log) if getattr(self, "_exec_log", None) else ""
|
||
if summary and isinstance(self._store.get("snapshot"), dict):
|
||
self._store["snapshot"]["EXEC_TRACE"] = summary
|
||
save_var_store(self.pipeline_id, self._store)
|
||
except Exception:
|
||
pass
|
||
return last_result
|
||
except Exception:
|
||
pass
|
||
|
||
# Проверяем лимиты
|
||
if total_runs >= self.loop_max_iters:
|
||
raise ExecutionError(f"Iterative mode exceeded loop_max_iters={self.loop_max_iters}")
|
||
if (time.perf_counter() - t0) * 1000.0 > self.loop_time_budget_ms:
|
||
raise ExecutionError(f"Iterative mode exceeded loop_time_budget_ms={self.loop_time_budget_ms}")
|
||
|
||
# Собираем партию до parallel_limit, с учётом гейтов.
|
||
# ВАЖНО: защищаемся от «вечной карусели» в пределах одной партии.
|
||
# Обрабатываем не более исходной длины очереди за проход.
|
||
batch: List[str] = []
|
||
seen: set[str] = set()
|
||
spin_guard = len(q)
|
||
processed_in_pass = 0
|
||
while q and len(batch) < parallel_limit and processed_in_pass < spin_guard:
|
||
nid = q.popleft()
|
||
processed_in_pass += 1
|
||
if nid in seen:
|
||
# Уже добавлен в партию — пропускаем без возврата в очередь
|
||
continue
|
||
# Должны быть удовлетворены зависимости: или нет родителей, или все родители хотя бы раз исполнились
|
||
parents = deps_map.get(nid) or set()
|
||
deps_ok = all(version[p] > 0 or in_degree.get(nid, 0) == 0 for p in parents) or (len(parents) == 0)
|
||
if not deps_ok:
|
||
# отложим до лучших времён
|
||
q.append(nid)
|
||
continue
|
||
if not gates_ok(nid):
|
||
# гейты пока не открыты — попробуем позже
|
||
q.append(nid)
|
||
continue
|
||
batch.append(nid)
|
||
seen.add(nid)
|
||
|
||
if not batch:
|
||
# Очередь «застряла» — либо циклические ожидания без начальных значений, либо гейт не откроется.
|
||
# Безопасно выходим.
|
||
break
|
||
|
||
# Снимок на момент партии
|
||
snapshot = dict(values)
|
||
results = await asyncio.gather(*(exec_one(nid, snapshot, step) for nid in batch), return_exceptions=False)
|
||
|
||
# Коммитим результаты немедленно и продвигаем версии
|
||
produced_vars: Dict[str, Any] = {}
|
||
for nid, out in results:
|
||
values[nid] = out
|
||
version[nid] = version.get(nid, 0) + 1
|
||
last_result = out
|
||
last_node_id = nid
|
||
total_runs += 1
|
||
last_run_step[nid] = step
|
||
# Человекочитаемый журнал
|
||
try:
|
||
ndef = node_def_by_id.get(nid) or {}
|
||
ntype = ndef.get("type", "")
|
||
if ntype == "If":
|
||
expr = str((ndef.get("config") or {}).get("expr", ""))
|
||
resb = False
|
||
try:
|
||
if isinstance(out, dict):
|
||
resb = bool(out.get("result"))
|
||
except Exception:
|
||
resb = False
|
||
self._exec_log.append(f"If (#{nid}) {expr} => {str(resb).lower()}")
|
||
else:
|
||
self._exec_log.append(f"{nid}({ntype})")
|
||
except Exception:
|
||
pass
|
||
|
||
# Сбор пользовательских переменных
|
||
try:
|
||
if isinstance(out, dict) and isinstance(out.get("vars"), dict):
|
||
produced_vars.update(out.get("vars") or {})
|
||
except Exception:
|
||
pass
|
||
|
||
if produced_vars:
|
||
user_vars.update(produced_vars)
|
||
# Обновляем STORE и сохраняем на диск
|
||
try:
|
||
self._store.update(produced_vars)
|
||
save_var_store(self.pipeline_id, self._store)
|
||
except Exception:
|
||
pass
|
||
|
||
# Постановка потомков, у кого изменился хотя бы один родитель
|
||
for nid in batch:
|
||
# Топологические потомки (реальные зависимости): будим всегда
|
||
for child in dependents.get(nid, ()):
|
||
if last_run_step.get(child, -1) < step:
|
||
q.append(child)
|
||
|
||
# Потомки по гейтам: будим ТОЛЬКО выбранную ветку
|
||
# Логика: если у gchild есть пара gate_deps с текущим nid и нужным gate ('true'/'false'),
|
||
# то будим только если соответствующий флаг у родителя истинный. Иначе — не будим.
|
||
g_out = values.get(nid) or {}
|
||
g_children = gate_dependents.get(nid, ())
|
||
for gchild in g_children:
|
||
if last_run_step.get(gchild, -1) >= step:
|
||
continue
|
||
pairs = [p for p in (gate_deps.get(gchild) or []) if p and p[0] == nid]
|
||
if not pairs:
|
||
# gchild зарегистрирован как зависимый по гейту, но явной пары нет — пропускаем
|
||
continue
|
||
wake = False
|
||
for (_pid, gate_name) in pairs:
|
||
try:
|
||
want = str(gate_name or "").strip().lower()
|
||
if want in ("true", "false"):
|
||
if bool(g_out.get(want, False)):
|
||
wake = True
|
||
break
|
||
except Exception:
|
||
pass
|
||
if wake:
|
||
q.append(gchild)
|
||
try:
|
||
print(f"TRACE wake_by_gate: parent={nid} -> child={gchild}")
|
||
except Exception:
|
||
pass
|
||
|
||
# Ранний выход, если встретили Return среди выполненных
|
||
try:
|
||
for nid in batch:
|
||
ndef = node_def_by_id.get(nid) or {}
|
||
if (ndef.get("type") or "") == "Return":
|
||
# Зафиксируем, что именно Return завершил выполнение
|
||
try:
|
||
last_node_id = nid
|
||
last_result = values.get(nid) or last_result
|
||
except Exception:
|
||
pass
|
||
# Снимок стора до выхода
|
||
try:
|
||
self._commit_snapshot(context, values, last_node_id or "")
|
||
except Exception:
|
||
pass
|
||
# Финальный EXECUTION TRACE в лог и STORE
|
||
try:
|
||
summary = " -> ".join(self._exec_log) if getattr(self, "_exec_log", None) else ""
|
||
if summary:
|
||
try:
|
||
print("===== EXECUTION TRACE =====")
|
||
print(summary)
|
||
print("===== END TRACE =====")
|
||
except Exception:
|
||
pass
|
||
try:
|
||
if isinstance(self._store.get("snapshot"), dict):
|
||
self._store["snapshot"]["EXEC_TRACE"] = summary
|
||
save_var_store(self.pipeline_id, self._store)
|
||
except Exception:
|
||
pass
|
||
except Exception:
|
||
pass
|
||
return last_result
|
||
except Exception:
|
||
pass
|
||
|
||
step += 1
|
||
|
||
# Финальный снапшот всего контекста и OUT в STORE.snapshot
|
||
try:
|
||
self._commit_snapshot(context, values, last_node_id or "")
|
||
except Exception:
|
||
pass
|
||
|
||
# Построение и сохранение человекочитаемого EXECUTION TRACE
|
||
try:
|
||
summary = " -> ".join(self._exec_log) if getattr(self, "_exec_log", None) else ""
|
||
if summary:
|
||
try:
|
||
print("===== EXECUTION TRACE =====")
|
||
print(summary)
|
||
print("===== END TRACE =====")
|
||
except Exception:
|
||
pass
|
||
try:
|
||
if isinstance(self._store.get("snapshot"), dict):
|
||
self._store["snapshot"]["EXEC_TRACE"] = summary
|
||
save_var_store(self.pipeline_id, self._store)
|
||
except Exception:
|
||
pass
|
||
except Exception:
|
||
pass
|
||
|
||
return last_result
|
||
|
||
|
||
def _safe_preview(self, obj: Any, max_bytes: int = 262_144) -> Any:
|
||
"""
|
||
Вернёт объект как есть, если его JSON-представление укладывается в лимит.
|
||
Иначе — мета-объект с пометкой о тримминге и SHA256 + текстовый превью.
|
||
"""
|
||
try:
|
||
s = json.dumps(obj, ensure_ascii=False)
|
||
except Exception:
|
||
try:
|
||
s = str(obj)
|
||
except Exception:
|
||
s = "<unrepresentable>"
|
||
b = s.encode("utf-8", errors="ignore")
|
||
if len(b) <= max_bytes:
|
||
return obj
|
||
sha = hashlib.sha256(b).hexdigest()
|
||
preview = b[:max_bytes].decode("utf-8", errors="ignore")
|
||
return {
|
||
"__truncated__": True,
|
||
"sha256": sha,
|
||
"preview": preview,
|
||
}
|
||
|
||
def _commit_snapshot(self, context: Dict[str, Any], values: Dict[str, Any], last_node_id: str) -> None:
|
||
"""
|
||
Собирает STORE.snapshot:
|
||
- incoming.*, params.*, model, vendor_format, system
|
||
- OUT_TEXT.nX — строковая вытяжка (до 16КБ)
|
||
- OUT.nX — сырой JSON (с триммингом до ~256КБ через preview)
|
||
- Алиасы OUT1/OUT2/... — плоские строки (то же, что [[OUT1]])
|
||
- LAST_NODE — последний выполнившийся узел
|
||
"""
|
||
# OUT_TEXT / OUT
|
||
out_text: Dict[str, str] = {}
|
||
out_raw: Dict[str, Any] = {}
|
||
aliases: Dict[str, Any] = {}
|
||
|
||
for nid, out in (values or {}).items():
|
||
if out is None:
|
||
continue
|
||
try:
|
||
txt = _best_text_from_outputs(out) # type: ignore[name-defined]
|
||
except Exception:
|
||
txt = ""
|
||
if not isinstance(txt, str):
|
||
try:
|
||
txt = str(txt)
|
||
except Exception:
|
||
txt = ""
|
||
if len(txt) > 16_384:
|
||
txt = txt[:16_384]
|
||
out_text[nid] = txt
|
||
out_raw[nid] = self._safe_preview(out, 262_144)
|
||
m = re.match(r"^n(\d+)$", str(nid))
|
||
if m:
|
||
aliases[f"OUT{int(m.group(1))}"] = txt
|
||
|
||
snapshot: Dict[str, Any] = {
|
||
"incoming": self._safe_preview(context.get("incoming"), 262_144),
|
||
"params": self._safe_preview(context.get("params"), 65_536),
|
||
"model": context.get("model"),
|
||
"vendor_format": context.get("vendor_format"),
|
||
"system": context.get("system") or "",
|
||
"OUT": out_raw,
|
||
"OUT_TEXT": out_text,
|
||
"LAST_NODE": last_node_id or "",
|
||
**aliases,
|
||
}
|
||
|
||
# Сохраняем под ключом snapshot, пользовательские vars остаются как есть в корне STORE
|
||
try:
|
||
if not isinstance(self._store, dict):
|
||
self._store = {}
|
||
self._store["snapshot"] = snapshot
|
||
save_var_store(self.pipeline_id, self._store)
|
||
except Exception:
|
||
pass
|
||
|
||
class SetVarsNode(Node):
|
||
type_name = "SetVars"
|
||
|
||
def _normalize(self) -> List[Dict[str, Any]]:
|
||
raw = self.config.get("variables") or []
|
||
if not isinstance(raw, list):
|
||
return []
|
||
norm: List[Dict[str, Any]] = []
|
||
for i, b in enumerate(raw):
|
||
if not isinstance(b, dict):
|
||
continue
|
||
name = str(b.get("name", "")).strip()
|
||
mode = str(b.get("mode", "string")).lower().strip()
|
||
value = b.get("value", "")
|
||
try:
|
||
order = int(b.get("order")) if b.get("order") is not None else i
|
||
except Exception:
|
||
order = i
|
||
norm.append({
|
||
"id": b.get("id") or f"v{i}",
|
||
"name": name,
|
||
"mode": "expr" if mode == "expr" else "string",
|
||
"value": value,
|
||
"order": order,
|
||
})
|
||
return norm
|
||
|
||
def _safe_eval_expr(self, expr: str) -> Any:
|
||
"""
|
||
Безопасная оценка выражений для SetVars.
|
||
|
||
Поддержка:
|
||
- Литералы: числа/строки/bool/None, списки, кортежи, словари
|
||
- JSON‑литералы: true/false/null, объекты и массивы (парсятся как Python True/False/None, dict/list)
|
||
- Арифметика: + - * / // %, унарные +-
|
||
- Логика: and/or, сравнения (== != < <= > >=, цепочки)
|
||
- Безопасные функции: rand(), randint(a,b), choice(list)
|
||
|
||
Запрещено: имя/атрибуты/индексация/условные/импорты/прочие вызовы функций.
|
||
"""
|
||
import ast
|
||
import operator as op
|
||
import random
|
||
|
||
# 0) Попытаться распознать чистый JSON‑литерал (включая true/false/null, объекты/массивы/числа/строки).
|
||
# Это не вмешивается в математику: для выражений вида "1+2" json.loads бросит исключение и мы пойдём в AST.
|
||
try:
|
||
s = str(expr).strip()
|
||
return json.loads(s)
|
||
except Exception:
|
||
pass
|
||
|
||
allowed_bin = {
|
||
ast.Add: op.add, ast.Sub: op.sub, ast.Mult: op.mul, ast.Div: op.truediv,
|
||
ast.FloorDiv: op.floordiv, ast.Mod: op.mod,
|
||
}
|
||
allowed_unary = {ast.UAdd: lambda x: +x, ast.USub: lambda x: -x}
|
||
allowed_cmp = {
|
||
ast.Eq: op.eq, ast.NotEq: op.ne, ast.Lt: op.lt, ast.LtE: op.le, ast.Gt: op.gt, ast.GtE: op.ge,
|
||
}
|
||
|
||
def eval_node(node: ast.AST) -> Any:
|
||
if isinstance(node, ast.Expression):
|
||
return eval_node(node.body)
|
||
if isinstance(node, ast.Constant):
|
||
return node.value
|
||
if isinstance(node, ast.Tuple):
|
||
return tuple(eval_node(e) for e in node.elts)
|
||
if isinstance(node, ast.List):
|
||
return [eval_node(e) for e in node.elts]
|
||
if isinstance(node, ast.Dict):
|
||
return {eval_node(k): eval_node(v) for k, v in zip(node.keys, node.values)}
|
||
if isinstance(node, ast.UnaryOp) and type(node.op) in allowed_unary:
|
||
return allowed_unary[type(node.op)](eval_node(node.operand))
|
||
if isinstance(node, ast.BinOp) and type(node.op) in allowed_bin:
|
||
return allowed_bin[type(node.op)](eval_node(node.left), eval_node(node.right))
|
||
if isinstance(node, ast.BoolOp):
|
||
vals = [eval_node(v) for v in node.values]
|
||
if isinstance(node.op, ast.And):
|
||
res = True
|
||
for v in vals:
|
||
res = res and bool(v)
|
||
return res
|
||
if isinstance(node.op, ast.Or):
|
||
res = False
|
||
for v in vals:
|
||
res = res or bool(v)
|
||
return res
|
||
if isinstance(node, ast.Compare):
|
||
left = eval_node(node.left)
|
||
for opnode, comparator in zip(node.ops, node.comparators):
|
||
if type(opnode) not in allowed_cmp:
|
||
raise ExecutionError("Unsupported comparison operator")
|
||
right = eval_node(comparator)
|
||
if not allowed_cmp[type(opnode)](left, right):
|
||
return False
|
||
left = right
|
||
return True
|
||
# Разрешённые вызовы: rand(), randint(a,b), choice(list)
|
||
if isinstance(node, ast.Call):
|
||
# Никаких kwargs, *args
|
||
if node.keywords or isinstance(getattr(node, "starargs", None), ast.AST) or isinstance(getattr(node, "kwargs", None), ast.AST):
|
||
raise ExecutionError("Call with kwargs/starargs is not allowed")
|
||
fn = node.func
|
||
if not isinstance(fn, ast.Name):
|
||
raise ExecutionError("Only simple function calls are allowed")
|
||
name = fn.id
|
||
if name == "rand":
|
||
if len(node.args) != 0:
|
||
raise ExecutionError("rand() takes no arguments")
|
||
return random.random()
|
||
if name == "randint":
|
||
if len(node.args) != 2:
|
||
raise ExecutionError("randint(a,b) requires two arguments")
|
||
a = eval_node(node.args[0])
|
||
b = eval_node(node.args[1])
|
||
try:
|
||
return random.randint(int(a), int(b))
|
||
except Exception as exc: # noqa: BLE001
|
||
raise ExecutionError(f"randint invalid arguments: {exc}")
|
||
if name == "choice":
|
||
if len(node.args) != 1:
|
||
raise ExecutionError("choice(list) requires one argument")
|
||
seq = eval_node(node.args[0])
|
||
if not isinstance(seq, (list, tuple)):
|
||
raise ExecutionError("choice() expects list or tuple")
|
||
if not seq:
|
||
raise ExecutionError("choice() on empty sequence")
|
||
return random.choice(seq)
|
||
raise ExecutionError(f"Function {name} is not allowed")
|
||
# Запрещаем всё остальное (Name/Attribute/Subscript/IfExp/Comprehensions и пр.)
|
||
raise ExecutionError("Expression not allowed")
|
||
|
||
try:
|
||
tree = ast.parse(str(expr), mode="eval")
|
||
except Exception as exc:
|
||
raise ExecutionError(f"SetVars expr parse error: {exc}") from exc
|
||
return eval_node(tree)
|
||
|
||
async def run(self, inputs: Dict[str, Any], context: Dict[str, Any]) -> Dict[str, Any]: # noqa: D401
|
||
out_map = context.get("OUT") or {}
|
||
result: Dict[str, Any] = {}
|
||
import re as _re
|
||
for v in sorted(self._normalize(), key=lambda x: x.get("order", 0)):
|
||
name = v.get("name") or ""
|
||
if not _re.fullmatch(r"[A-Za-z_][A-Za-z0-9_]*", name or ""):
|
||
raise ExecutionError(f"SetVars invalid variable name: {name!r}")
|
||
mode = v.get("mode", "string")
|
||
raw_val = v.get("value", "")
|
||
if mode == "expr":
|
||
resolved = self._safe_eval_expr(str(raw_val))
|
||
else:
|
||
resolved = render_template_simple(str(raw_val or ""), context, out_map)
|
||
result[name] = resolved
|
||
# Событие «vars_set» в SSE‑лог (+ превью значений)
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
def _pv(val: Any) -> str:
|
||
try:
|
||
if isinstance(val, str):
|
||
s = val
|
||
else:
|
||
s = json.dumps(val, ensure_ascii=False)
|
||
except Exception:
|
||
try:
|
||
s = str(val)
|
||
except Exception:
|
||
s = "<unrepresentable>"
|
||
s = s if isinstance(s, str) else str(s)
|
||
return (s[:300] + "…") if len(s) > 300 else s
|
||
values_preview = {k: _pv(v) for k, v in (result or {}).items()}
|
||
await trace_fn({
|
||
"event": "vars_set",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"vars": list(result.keys()),
|
||
"count": len(result),
|
||
"values_preview": values_preview,
|
||
})
|
||
except Exception:
|
||
pass
|
||
return {"vars": result}
|
||
|
||
# --- v1: Нормализованный экстрактор текста для OUTx -----------------------------
|
||
def _json_path_extract(obj: Any, path: str) -> Any:
|
||
if not path:
|
||
return None
|
||
nodes = [obj]
|
||
for raw_seg in str(path).split("."):
|
||
seg = (raw_seg or "").strip()
|
||
if not seg:
|
||
continue
|
||
next_nodes = []
|
||
# Поддержка "*": разворачиваем dict.values() или элементы списка
|
||
if seg == "*":
|
||
for n in nodes:
|
||
if isinstance(n, dict):
|
||
next_nodes.extend(list(n.values()))
|
||
elif isinstance(n, list):
|
||
next_nodes.extend(list(n))
|
||
nodes = next_nodes
|
||
if not nodes:
|
||
break
|
||
continue
|
||
# Числовой индекс для списков
|
||
idx = None
|
||
try:
|
||
idx = int(seg)
|
||
except Exception:
|
||
idx = None
|
||
for n in nodes:
|
||
if idx is not None and isinstance(n, list):
|
||
if 0 <= idx < len(n):
|
||
next_nodes.append(n[idx])
|
||
elif idx is None and isinstance(n, dict):
|
||
if seg in n:
|
||
next_nodes.append(n[seg])
|
||
nodes = next_nodes
|
||
if not nodes:
|
||
break
|
||
if not nodes:
|
||
return None
|
||
return nodes if len(nodes) > 1 else nodes[0]
|
||
|
||
|
||
def _stringify_join(values: Any, join_sep: str = "\n") -> str:
|
||
def _flatten(x):
|
||
if isinstance(x, list):
|
||
for it in x:
|
||
yield from _flatten(it)
|
||
else:
|
||
yield x
|
||
arr = list(_flatten(values if isinstance(values, list) else [values]))
|
||
out: List[str] = []
|
||
for v in arr:
|
||
if isinstance(v, str):
|
||
if v:
|
||
out.append(v)
|
||
elif isinstance(v, (dict, list)):
|
||
try:
|
||
t = _deep_find_text(v) # type: ignore[name-defined]
|
||
if isinstance(t, str) and t:
|
||
out.append(t)
|
||
except Exception:
|
||
pass
|
||
else:
|
||
try:
|
||
sv = str(v)
|
||
if sv:
|
||
out.append(sv)
|
||
except Exception:
|
||
pass
|
||
if not out:
|
||
return ""
|
||
return (join_sep or "\n").join(out)
|
||
|
||
|
||
def _extract_text_for_out(data: Any, strategy: str = "auto", provider_hint: str = "", json_path: str = "", join_sep: str = "\n") -> str:
|
||
s = (strategy or "auto").lower().strip() or "auto"
|
||
prov = (provider_hint or "").lower().strip()
|
||
|
||
# Принудительные стратегии
|
||
if s == "deep":
|
||
try:
|
||
t = _deep_find_text(data) # type: ignore[name-defined]
|
||
return t if isinstance(t, str) else (str(t) if t is not None else "")
|
||
except Exception:
|
||
return ""
|
||
if s == "jsonpath":
|
||
try:
|
||
vals = _json_path_extract(data, json_path or "")
|
||
return _stringify_join(vals, join_sep)
|
||
except Exception:
|
||
return ""
|
||
if s in {"openai", "gemini", "claude"}:
|
||
try:
|
||
if s == "openai" and isinstance(data, dict):
|
||
msg = (data.get("choices") or [{}])[0].get("message") or {}
|
||
c = msg.get("content")
|
||
return c if isinstance(c, str) else (str(c) if c is not None else "")
|
||
if s == "gemini" and isinstance(data, dict):
|
||
cand0 = (data.get("candidates") or [{}])[0]
|
||
content = cand0.get("content") or {}
|
||
parts0 = (content.get("parts") or [{}])[0]
|
||
t = parts0.get("text")
|
||
return t if isinstance(t, str) else (str(t) if t is not None else "")
|
||
if s == "claude" and isinstance(data, dict):
|
||
blocks = data.get("content") or []
|
||
texts = [b.get("text") for b in blocks if isinstance(b, dict) and isinstance(b.get("text"), str)]
|
||
if texts:
|
||
return "\n".join(texts)
|
||
return ""
|
||
except Exception:
|
||
return ""
|
||
return ""
|
||
|
||
# auto: если есть подсказка — пробуем сначала её ветку, потом общий
|
||
if prov in {"openai", "gemini", "claude"}:
|
||
forced = _extract_text_for_out(data, prov, prov, json_path, join_sep)
|
||
if forced:
|
||
return forced
|
||
|
||
# Универсальный best-effort: знает openai/gemini/claude
|
||
try:
|
||
t = _best_text_from_outputs({"result": data}) # type: ignore[name-defined]
|
||
if isinstance(t, str) and t:
|
||
return t
|
||
if t is not None:
|
||
t2 = str(t)
|
||
if t2:
|
||
return t2
|
||
except Exception:
|
||
pass
|
||
|
||
# Последний шанс — глубокий поиск
|
||
try:
|
||
t = _deep_find_text(data) # type: ignore[name-defined]
|
||
return t if isinstance(t, str) else (str(t) if t is not None else "")
|
||
except Exception:
|
||
return ""
|
||
|
||
class ProviderCallNode(Node):
|
||
type_name = "ProviderCall"
|
||
|
||
# --- Prompt Manager helpers -------------------------------------------------
|
||
def _get_blocks(self) -> List[Dict[str, Any]]:
|
||
"""Return normalized list of prompt blocks from config."""
|
||
raw = self.config.get("blocks") or self.config.get("prompt_blocks") or []
|
||
if not isinstance(raw, list):
|
||
return []
|
||
norm: List[Dict[str, Any]] = []
|
||
for i, b in enumerate(raw):
|
||
if not isinstance(b, dict):
|
||
continue
|
||
role = str(b.get("role", "user")).lower().strip()
|
||
if role not in {"system", "user", "assistant", "tool"}:
|
||
role = "user"
|
||
# order fallback: keep original index if not provided/correct
|
||
try:
|
||
order = int(b.get("order")) if b.get("order") is not None else i
|
||
except Exception: # noqa: BLE001
|
||
order = i
|
||
norm.append(
|
||
{
|
||
"id": b.get("id") or f"b{i}",
|
||
"name": b.get("name") or f"Block {i+1}",
|
||
"role": role,
|
||
"prompt": b.get("prompt") or "",
|
||
"enabled": bool(b.get("enabled", True)),
|
||
"order": order,
|
||
}
|
||
)
|
||
return norm
|
||
|
||
def _render_blocks_to_unified(self, context: Dict[str, Any]) -> List[Dict[str, Any]]:
|
||
"""
|
||
Filter+sort+render blocks to unified messages:
|
||
[{role, content, name?}]
|
||
"""
|
||
out_map = context.get("OUT") or {}
|
||
blocks = [b for b in self._get_blocks() if b.get("enabled", True)]
|
||
blocks.sort(key=lambda x: x.get("order", 0))
|
||
messages: List[Dict[str, Any]] = []
|
||
for b in blocks:
|
||
content = render_template_simple(str(b.get("prompt") or ""), context, out_map)
|
||
# name поля блоков не передаются в провайдерские payload'ы
|
||
msg = {"role": b["role"], "content": content}
|
||
messages.append(msg)
|
||
return messages
|
||
|
||
def _messages_to_payload(self, provider: str, messages: List[Dict[str, Any]], context: Dict[str, Any]) -> Dict[str, Any]:
|
||
"""Convert unified messages to provider-specific request payload."""
|
||
params = context.get("params") or {}
|
||
model = context.get("model") or ""
|
||
if provider == "openai":
|
||
payload: Dict[str, Any] = {
|
||
"model": model,
|
||
"messages": [
|
||
{"role": m["role"], "content": m["content"]}
|
||
for m in messages
|
||
],
|
||
"temperature": params.get("temperature", 0.7),
|
||
}
|
||
if params.get("max_tokens") is not None:
|
||
payload["max_tokens"] = params.get("max_tokens")
|
||
if params.get("top_p") is not None:
|
||
payload["top_p"] = params.get("top_p")
|
||
if params.get("stop") is not None:
|
||
payload["stop"] = params.get("stop")
|
||
return payload
|
||
|
||
if provider == "gemini":
|
||
sys_text = "\n\n".join([m["content"] for m in messages if m["role"] == "system"]).strip()
|
||
contents = []
|
||
for m in messages:
|
||
if m["role"] == "system":
|
||
continue
|
||
role = "model" if m["role"] == "assistant" else "user"
|
||
contents.append({"role": role, "parts": [{"text": m["content"]}]})
|
||
gen_cfg: Dict[str, Any] = {}
|
||
if params.get("temperature") is not None:
|
||
gen_cfg["temperature"] = params.get("temperature")
|
||
if params.get("max_tokens") is not None:
|
||
gen_cfg["maxOutputTokens"] = params.get("max_tokens")
|
||
if params.get("top_p") is not None:
|
||
gen_cfg["topP"] = params.get("top_p")
|
||
if params.get("stop") is not None:
|
||
gen_cfg["stopSequences"] = params.get("stop")
|
||
payload = {"model": model, "contents": contents}
|
||
if sys_text:
|
||
payload["systemInstruction"] = {"parts": [{"text": sys_text}]}
|
||
if gen_cfg:
|
||
payload["generationConfig"] = gen_cfg
|
||
return payload
|
||
|
||
if provider == "claude":
|
||
sys_text = "\n\n".join([m["content"] for m in messages if m["role"] == "system"]).strip()
|
||
msgs = []
|
||
for m in messages:
|
||
if m["role"] == "system":
|
||
continue
|
||
role = m["role"] if m["role"] in {"user", "assistant"} else "user"
|
||
msgs.append({"role": role, "content": [{"type": "text", "text": m["content"]}]})
|
||
payload: Dict[str, Any] = {
|
||
"model": model,
|
||
"messages": msgs,
|
||
}
|
||
if sys_text:
|
||
payload["system"] = sys_text
|
||
if params.get("temperature") is not None:
|
||
payload["temperature"] = params.get("temperature")
|
||
if params.get("max_tokens") is not None:
|
||
payload["max_tokens"] = params.get("max_tokens")
|
||
if params.get("top_p") is not None:
|
||
payload["top_p"] = params.get("top_p")
|
||
if params.get("stop") is not None:
|
||
payload["stop"] = params.get("stop")
|
||
return payload
|
||
|
||
return {}
|
||
|
||
def _blocks_struct_for_template(self, provider: str, messages: List[Dict[str, Any]], context: Dict[str, Any]) -> Dict[str, Any]:
|
||
"""
|
||
Сформировать структуру для вставки в шаблон (template) из Prompt Blocks.
|
||
Возвращает provider-специфичные ключи, которые можно вставлять в JSON:
|
||
- openai: { "messages": [...] , "system_text": "..." }
|
||
- gemini: { "contents": [...], "systemInstruction": {...}, "system_text": "..." }
|
||
- claude: { "system_text": "...", "system": "...", "messages": [...] }
|
||
"""
|
||
provider = (provider or "openai").lower()
|
||
# Гарантируем список
|
||
msgs = messages or []
|
||
|
||
if provider == "openai":
|
||
# Уже в формате {"role","content"}
|
||
sys_text = "\n\n".join([m["content"] for m in msgs if m.get("role") == "system"]).strip()
|
||
# Вставляем как есть (editor будет встраивать JSON массива без кавычек)
|
||
return {
|
||
"messages": [
|
||
{"role": m["role"], "content": m.get("content")}
|
||
for m in msgs
|
||
],
|
||
"system_text": sys_text,
|
||
}
|
||
|
||
if provider == "gemini":
|
||
sys_text = "\n\n".join([m["content"] for m in msgs if m.get("role") == "system"]).strip()
|
||
contents = []
|
||
for m in msgs:
|
||
if m.get("role") == "system":
|
||
continue
|
||
role = "model" if m.get("role") == "assistant" else "user"
|
||
contents.append({"role": role, "parts": [{"text": str(m.get("content") or "")}]})
|
||
d: Dict[str, Any] = {
|
||
"contents": contents,
|
||
"system_text": sys_text,
|
||
}
|
||
if sys_text:
|
||
d["systemInstruction"] = {"parts": [{"text": sys_text}]}
|
||
return d
|
||
|
||
if provider == "claude":
|
||
sys_text = "\n\n".join([m["content"] for m in msgs if m.get("role") == "system"]).strip()
|
||
out_msgs = []
|
||
for m in msgs:
|
||
if m.get("role") == "system":
|
||
continue
|
||
role = m.get("role")
|
||
role = role if role in {"user", "assistant"} else "user"
|
||
out_msgs.append({"role": role, "content": [{"type": "text", "text": str(m.get("content") or "")}]})
|
||
return {
|
||
"system_text": sys_text,
|
||
"system": sys_text, # удобно для шаблона: "system": "{{ pm.system_text }}"
|
||
"messages": out_msgs,
|
||
}
|
||
|
||
# По умолчанию ничего, но это валидный JSON
|
||
return {"messages": []}
|
||
|
||
async def run(self, inputs: Dict[str, Any], context: Dict[str, Any]) -> Dict[str, Any]:
|
||
provider = (self.config.get("provider") or "openai").lower()
|
||
|
||
# Optional sleep before execution (UI-configured, milliseconds)
|
||
try:
|
||
sleep_ms = int(self.config.get("sleep_ms") or 0)
|
||
except Exception:
|
||
sleep_ms = 0
|
||
if sleep_ms > 0:
|
||
# Emit SSE event to highlight node as "sleeping" on UI
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
await trace_fn({
|
||
"event": "node_sleep",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"sleep_ms": int(sleep_ms),
|
||
"ts": int(time.time() * 1000),
|
||
})
|
||
except Exception:
|
||
pass
|
||
# Non-blocking pause
|
||
try:
|
||
await asyncio.sleep(max(0.0, sleep_ms / 1000.0))
|
||
except Exception:
|
||
pass
|
||
|
||
# Support provider-specific configs stored in UI as provider_configs.{provider}
|
||
prov_cfg: Dict[str, Any] = {}
|
||
try:
|
||
cfgs = self.config.get("provider_configs") or {}
|
||
if isinstance(cfgs, dict):
|
||
prov_cfg = cfgs.get(provider) or {}
|
||
except Exception: # noqa: BLE001
|
||
prov_cfg = {}
|
||
|
||
base_url = prov_cfg.get("base_url") or self.config.get("base_url")
|
||
if not base_url:
|
||
raise ExecutionError(f"Node {self.node_id} ({self.type_name}) requires 'base_url' in config")
|
||
if not str(base_url).startswith(("http://", "https://")):
|
||
base_url = "http://" + str(base_url)
|
||
|
||
endpoint_tmpl: str = prov_cfg.get("endpoint") or self.config.get("endpoint") or ""
|
||
template: str = prov_cfg.get("template") or self.config.get("template") or "{}"
|
||
headers_json: str = prov_cfg.get("headers") or self.config.get("headers") or "{}"
|
||
|
||
# Default endpoints if not set
|
||
if not endpoint_tmpl:
|
||
if provider == "openai":
|
||
endpoint_tmpl = "/v1/chat/completions"
|
||
elif provider == "gemini":
|
||
endpoint_tmpl = "/v1beta/models/{{ model }}:generateContent"
|
||
elif provider == "claude":
|
||
endpoint_tmpl = "/v1/messages"
|
||
|
||
# Подготовим Prompt Blocks + pm-структуру для шаблона
|
||
unified_msgs = self._render_blocks_to_unified(context)
|
||
pm_struct = self._blocks_struct_for_template(provider, unified_msgs, context)
|
||
|
||
# Расширяем контекст для рендера шаблонов
|
||
render_ctx = dict(context)
|
||
render_ctx["pm"] = pm_struct
|
||
|
||
# Единый JSON-фрагмент PROMPT для шаблонов: [[PROMPT]]
|
||
prompt_fragment = ""
|
||
try:
|
||
if provider == "openai":
|
||
prompt_fragment = '"messages": ' + json.dumps(pm_struct.get("messages", []), ensure_ascii=False)
|
||
elif provider == "gemini":
|
||
parts = []
|
||
contents = pm_struct.get("contents")
|
||
if contents is not None:
|
||
parts.append('"contents": ' + json.dumps(contents, ensure_ascii=False))
|
||
sysi = pm_struct.get("systemInstruction")
|
||
# даже если пустой объект {}, это валидно
|
||
if sysi is not None:
|
||
parts.append('"systemInstruction": ' + json.dumps(sysi, ensure_ascii=False))
|
||
prompt_fragment = ", ".join(parts)
|
||
elif provider == "claude":
|
||
parts = []
|
||
sys_text = pm_struct.get("system_text") or pm_struct.get("system")
|
||
if sys_text is not None:
|
||
parts.append('"system": ' + json.dumps(sys_text, ensure_ascii=False))
|
||
msgs = pm_struct.get("messages")
|
||
if msgs is not None:
|
||
parts.append('"messages": ' + json.dumps(msgs, ensure_ascii=False))
|
||
prompt_fragment = ", ".join(parts)
|
||
except Exception: # noqa: BLE001
|
||
prompt_fragment = ""
|
||
render_ctx["PROMPT"] = prompt_fragment
|
||
|
||
# Render helper с поддержкой [[VAR]], [[OUT]] и {{ ... }}
|
||
def render(s: str) -> str:
|
||
return render_template_simple(s or "", render_ctx, render_ctx.get("OUT") or {})
|
||
|
||
# Рендер endpoint с макросами/шаблонами
|
||
endpoint = render(endpoint_tmpl)
|
||
|
||
# Формируем тело ТОЛЬКО из template/[[PROMPT]] (без сырого payload/входов).
|
||
# Больше НИКАКОГО фоллбэка на unified-построение: если шаблон невалиден — это ошибка ноды.
|
||
try:
|
||
rendered = render(template)
|
||
# DEBUG: печать отрендеренного шаблона с номерами строк для точной диагностики JSONDecodeError
|
||
try:
|
||
_lines = rendered.splitlines()
|
||
_preview = "\n".join(f"{i+1:03d}: {_lines[i]}" for i in range(min(len(_lines), 120)))
|
||
print(f"DEBUG: ProviderCallNode rendered_template node={self.node_id} provider={provider}\\n{_preview}")
|
||
except Exception:
|
||
try:
|
||
print(f"DEBUG: ProviderCallNode rendered_template(node={self.node_id}, provider={provider}) len={len(rendered)}")
|
||
except Exception:
|
||
pass
|
||
payload = json.loads(rendered)
|
||
except Exception as exc: # noqa: BLE001
|
||
raise ExecutionError(f"ProviderCall template invalid JSON: {exc}")
|
||
|
||
# Заголовки — полностью из редактируемого JSON с макросами
|
||
try:
|
||
headers_src = render(headers_json) if headers_json else "{}"
|
||
headers = json.loads(headers_src) if headers_src else {}
|
||
if not isinstance(headers, dict):
|
||
raise ValueError("headers must be a JSON object")
|
||
except Exception as exc: # noqa: BLE001
|
||
raise ExecutionError(f"ProviderCall headers invalid JSON: {exc}")
|
||
|
||
# Итоговый URL
|
||
if not base_url.startswith(("http://", "https://")):
|
||
base_url = "http://" + base_url
|
||
url = endpoint if endpoint.startswith("http") else urljoin(base_url.rstrip('/') + '/', endpoint.lstrip('/'))
|
||
|
||
# Debug logs to validate config selection and payload
|
||
# Brute request/response logging (FULL, no masking)
|
||
try:
|
||
final_headers = {"Content-Type": "application/json", **headers}
|
||
print("===== ProviderCall REQUEST BEGIN =====")
|
||
print(f"node={self.node_id} type={self.type_name} provider={provider}")
|
||
print(f"URL: {url}")
|
||
try:
|
||
print("Headers:")
|
||
print(json.dumps(final_headers, ensure_ascii=False, indent=2))
|
||
except Exception:
|
||
print(f"Headers(raw): {final_headers}")
|
||
try:
|
||
print("Body JSON:")
|
||
print(json.dumps(payload, ensure_ascii=False, indent=2))
|
||
except Exception:
|
||
print(f"Body(raw): {payload}")
|
||
print("===== ProviderCall REQUEST END =====")
|
||
except Exception:
|
||
pass
|
||
# SSE: http_req (как в Burp)
|
||
req_id = f"{self.node_id}-{int(time.time()*1000)}"
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
await trace_fn({
|
||
"event": "http_req",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"provider": provider,
|
||
"req_id": req_id,
|
||
"method": "POST",
|
||
"url": url,
|
||
"headers": final_headers,
|
||
"body_text": json.dumps(payload, ensure_ascii=False, indent=2),
|
||
})
|
||
except Exception:
|
||
pass
|
||
|
||
# Timeout from run-meta (seconds); fallback to 60
|
||
try:
|
||
timeout_sec = float((context.get("meta") or {}).get("http_timeout_sec", 60) or 60)
|
||
except Exception:
|
||
timeout_sec = 60.0
|
||
|
||
st: Optional[int] = None
|
||
async with build_client(timeout=timeout_sec) as client:
|
||
body_bytes = json.dumps(payload, ensure_ascii=False).encode("utf-8")
|
||
resp = await client.post(url, content=body_bytes, headers=final_headers)
|
||
# Do not raise_for_status: keep body/logs on 4xx/5xx
|
||
try:
|
||
print("===== ProviderCall RESPONSE BEGIN =====")
|
||
print(f"node={self.node_id} type={self.type_name} provider={provider}")
|
||
print(f"Status: {resp.status_code}")
|
||
try:
|
||
print("Headers:")
|
||
print(json.dumps(dict(resp.headers), ensure_ascii=False, indent=2))
|
||
except Exception:
|
||
try:
|
||
print(f"Headers(raw): {dict(resp.headers)}")
|
||
except Exception:
|
||
print("Headers(raw): <unavailable>")
|
||
try:
|
||
body_text = resp.text
|
||
except Exception:
|
||
body_text = "<resp.text decode error>"
|
||
print("Body Text:")
|
||
print(body_text)
|
||
print("===== ProviderCall RESPONSE END =====")
|
||
except Exception:
|
||
body_text = "<resp.text decode error>"
|
||
pass
|
||
|
||
try:
|
||
data = resp.json()
|
||
except Exception:
|
||
data = {"error": "Failed to decode JSON from upstream", "text": resp.text}
|
||
# SSE: http_resp
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
await trace_fn({
|
||
"event": "http_resp",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"provider": provider,
|
||
"req_id": req_id,
|
||
"status": int(resp.status_code),
|
||
"headers": dict(resp.headers),
|
||
"body_text": body_text if isinstance(body_text, str) else str(body_text),
|
||
})
|
||
except Exception:
|
||
pass
|
||
try:
|
||
st = int(resp.status_code)
|
||
except Exception:
|
||
st = None
|
||
|
||
# Извлечение текста: приоритет — пресет ноды -> кастомн. поля ноды -> глобальные meta
|
||
try:
|
||
meta_opts = (context.get("meta") or {})
|
||
presets = meta_opts.get("text_extract_presets") or []
|
||
cfg = self.config or {}
|
||
|
||
strategy = None
|
||
json_path = None
|
||
join_sep = None
|
||
|
||
# 1) Пресет по id
|
||
pid = str(cfg.get("text_extract_preset_id") or "").strip()
|
||
if pid:
|
||
try:
|
||
pr = next((x for x in presets if isinstance(x, dict) and str(x.get("id", "")) == pid), None)
|
||
except Exception:
|
||
pr = None
|
||
if pr:
|
||
strategy = str(pr.get("strategy") or "auto")
|
||
json_path = str(pr.get("json_path") or "")
|
||
join_sep = str(pr.get("join_sep") or "\n")
|
||
|
||
# 2) Кастомные поля ноды (если задано что-то из набора)
|
||
if not strategy and (cfg.get("text_extract_strategy") is not None or cfg.get("text_extract_json_path") is not None or cfg.get("text_join_sep") is not None):
|
||
strategy = str(cfg.get("text_extract_strategy") or "auto")
|
||
json_path = str(cfg.get("text_extract_json_path") or "")
|
||
join_sep = str(cfg.get("text_join_sep") or "\n")
|
||
|
||
# 3) Глобальные метаданные запуска
|
||
if not strategy:
|
||
strategy = str(meta_opts.get("text_extract_strategy", "auto") or "auto")
|
||
json_path = str(meta_opts.get("text_extract_json_path", "") or "")
|
||
join_sep = str(meta_opts.get("text_join_sep", "\n") or "\n")
|
||
except Exception:
|
||
strategy, json_path, join_sep = "auto", "", "\n"
|
||
|
||
text = _extract_text_for_out(data, strategy, provider, json_path, join_sep)
|
||
# Подробный SSE-лог завершения ProviderCall
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
# Compute destination macros for extracted text
|
||
try:
|
||
to_path = f"OUT.{self.node_id}.response_text"
|
||
macro_braces = f"{{{{ OUT.{self.node_id}.response_text }}}}"
|
||
alias_macro = ""
|
||
m = re.match(r"^n(\d+)$", str(self.node_id))
|
||
if m:
|
||
alias_macro = f"[[OUT{int(m.group(1))}]]"
|
||
except Exception:
|
||
to_path = f"OUT.{self.node_id}.response_text"
|
||
macro_braces = f"{{{{ OUT.{self.node_id}.response_text }}}}"
|
||
alias_macro = ""
|
||
await trace_fn({
|
||
"event": "provider_done",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"provider": provider,
|
||
"url": url,
|
||
"req_id": req_id,
|
||
"status": int(st) if st is not None else None,
|
||
"text_len": int(len(text or "")),
|
||
"extracted_text": text or "",
|
||
"strategy": strategy,
|
||
"json_path": json_path or "",
|
||
"join_sep": join_sep or "\n",
|
||
"to_path": to_path,
|
||
"to_macro_outx": alias_macro,
|
||
"to_macro_braces": macro_braces,
|
||
"ts": int(time.time() * 1000),
|
||
})
|
||
except Exception:
|
||
pass
|
||
return {"result": data, "response_text": text or ""}
|
||
|
||
|
||
class RawForwardNode(Node):
|
||
type_name = "RawForward"
|
||
|
||
async def run(self, inputs: Dict[str, Any], context: Dict[str, Any]) -> Dict[str, Any]:
|
||
"""
|
||
Прямой форвард входящего запроса на апстрим:
|
||
- base_url/override_path/extra_headers поддерживают макросы [[...]] и {{ ... }}
|
||
- По умолчанию пробрасываем входящие заголовки (кроме Host/Content-Length), затем применяем extra_headers поверх.
|
||
- Тело берём из incoming.json (если есть), иначе пытаемся использовать текст/байты.
|
||
- Эмитим SSE события http_req/http_resp для панели логов.
|
||
"""
|
||
incoming = context.get("incoming", {}) or {}
|
||
raw_payload = incoming.get("json")
|
||
|
||
# Optional sleep before forwarding (UI-configured, milliseconds)
|
||
try:
|
||
sleep_ms = int(self.config.get("sleep_ms") or 0)
|
||
except Exception:
|
||
sleep_ms = 0
|
||
if sleep_ms > 0:
|
||
# Notify UI to show "sleep" state for this node
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
await trace_fn({
|
||
"event": "node_sleep",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"sleep_ms": int(sleep_ms),
|
||
"ts": int(time.time() * 1000),
|
||
})
|
||
except Exception:
|
||
pass
|
||
try:
|
||
await asyncio.sleep(max(0.0, sleep_ms / 1000.0))
|
||
except Exception:
|
||
pass
|
||
|
||
# Конфиг с поддержкой макросов
|
||
base_url: Optional[str] = self.config.get("base_url")
|
||
override_path: Optional[str] = self.config.get("override_path")
|
||
|
||
out_map_for_macros = context.get("OUT") or {}
|
||
if base_url:
|
||
base_url = render_template_simple(str(base_url), context, out_map_for_macros)
|
||
if override_path:
|
||
override_path = render_template_simple(str(override_path), context, out_map_for_macros)
|
||
|
||
# Автодетекция вендора для базового URL если base_url не задан
|
||
if not base_url:
|
||
vendor = detect_vendor(raw_payload)
|
||
if vendor == "openai":
|
||
base_url = "https://api.openai.com"
|
||
elif vendor == "claude":
|
||
base_url = "https://api.anthropic.com"
|
||
elif vendor == "gemini":
|
||
base_url = "https://generativelanguage.googleapis.com"
|
||
else:
|
||
raise ExecutionError(
|
||
f"Node {self.node_id} ({self.type_name}): 'base_url' is not configured and vendor could not be detected."
|
||
)
|
||
|
||
if not str(base_url).startswith(("http://", "https://")):
|
||
base_url = "http://" + str(base_url)
|
||
|
||
path = override_path or incoming.get("path") or "/"
|
||
query = incoming.get("query")
|
||
path_with_qs = f"{path}?{query}" if query else str(path)
|
||
url = urljoin(str(base_url).rstrip("/") + "/", str(path_with_qs).lstrip("/"))
|
||
|
||
# Заголовки: passthrough + extra_headers(JSON)
|
||
passthrough_headers: bool = bool(self.config.get("passthrough_headers", True))
|
||
extra_headers_json: str = self.config.get("extra_headers") or "{}"
|
||
try:
|
||
extra_headers_src = render_template_simple(extra_headers_json, context, out_map_for_macros) if extra_headers_json else "{}"
|
||
extra_headers = json.loads(extra_headers_src) if extra_headers_src else {}
|
||
if not isinstance(extra_headers, dict):
|
||
raise ValueError("extra_headers must be an object")
|
||
except Exception as exc: # noqa: BLE001
|
||
raise ExecutionError(f"RawForward extra_headers invalid JSON: {exc}")
|
||
|
||
headers: Dict[str, str] = {}
|
||
if passthrough_headers:
|
||
inc_headers = incoming.get("headers") or {}
|
||
for k, v in inc_headers.items():
|
||
# Не пробрасываем управляющие заголовки, которые рассчитает httpx/сервер
|
||
if k and k.lower() not in {"host", "content-length"}:
|
||
headers[k] = v
|
||
# extra_headers перекрывают проброс
|
||
try:
|
||
headers.update(extra_headers)
|
||
except Exception:
|
||
pass
|
||
# Нормализация: защитимся от повторного наличия host/content-length после update
|
||
for k in list(headers.keys()):
|
||
kl = k.lower()
|
||
if kl in {"host", "content-length"}:
|
||
try:
|
||
headers.pop(k, None)
|
||
except Exception:
|
||
pass
|
||
|
||
# Метод
|
||
method = str(incoming.get("method") or "POST").upper().strip() or "POST"
|
||
|
||
# Тело запроса
|
||
body_text = ""
|
||
body_bytes: bytes = b""
|
||
if raw_payload is not None:
|
||
# JSON — сериализуем явно как UTF‑8
|
||
try:
|
||
body_text = json.dumps(raw_payload, ensure_ascii=False, indent=2)
|
||
except Exception:
|
||
try:
|
||
body_text = str(raw_payload)
|
||
except Exception:
|
||
body_text = ""
|
||
try:
|
||
body_bytes = json.dumps(raw_payload, ensure_ascii=False).encode("utf-8")
|
||
except Exception:
|
||
body_bytes = (body_text or "").encode("utf-8", errors="ignore")
|
||
# Если Content-Type не задан — выставим JSON
|
||
if "content-type" not in {k.lower() for k in headers.keys()}:
|
||
headers["Content-Type"] = "application/json"
|
||
else:
|
||
# Попробуем текст/байты из incoming
|
||
raw_bytes = incoming.get("body_bytes") or incoming.get("bytes")
|
||
raw_text = incoming.get("body_text") or incoming.get("text")
|
||
if isinstance(raw_bytes, (bytes, bytearray)):
|
||
body_bytes = bytes(raw_bytes)
|
||
try:
|
||
body_text = body_bytes.decode("utf-8", errors="ignore")
|
||
except Exception:
|
||
body_text = ""
|
||
elif raw_text is not None:
|
||
body_text = str(raw_text)
|
||
try:
|
||
body_bytes = body_text.encode("utf-8")
|
||
except Exception:
|
||
body_bytes = (body_text or "").encode("utf-8", errors="ignore")
|
||
else:
|
||
body_text = ""
|
||
body_bytes = b""
|
||
|
||
# Таймаут из метаданных запуска
|
||
try:
|
||
timeout_sec = float((context.get("meta") or {}).get("http_timeout_sec", 60) or 60)
|
||
except Exception:
|
||
timeout_sec = 60.0
|
||
|
||
# Диагностический вывод полной заявки/ответа (без маскировки)
|
||
try:
|
||
print("===== RawForward REQUEST BEGIN =====")
|
||
print(f"node={self.node_id} type={self.type_name}")
|
||
print(f"Method: {method}")
|
||
print(f"URL: {url}")
|
||
try:
|
||
print("Headers:")
|
||
print(json.dumps(headers, ensure_ascii=False, indent=2))
|
||
except Exception:
|
||
print(f"Headers(raw): {headers}")
|
||
print("Body:")
|
||
print(body_text)
|
||
print("===== RawForward REQUEST END =====")
|
||
except Exception:
|
||
pass
|
||
|
||
# SSE: http_req
|
||
req_id = f"{self.node_id}-{int(time.time()*1000)}"
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
await trace_fn({
|
||
"event": "http_req",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"req_id": req_id,
|
||
"method": method,
|
||
"url": url,
|
||
"headers": headers,
|
||
"body_text": body_text,
|
||
})
|
||
except Exception:
|
||
pass
|
||
|
||
# Отправка
|
||
async with build_client(timeout=timeout_sec) as client:
|
||
# Для GET/HEAD обычно не отправляем body
|
||
send_content = None if method in {"GET", "HEAD"} else body_bytes
|
||
resp = await client.request(method, url, headers=headers, content=send_content)
|
||
|
||
# Ответ: лог/печать
|
||
try:
|
||
print("===== RawForward RESPONSE BEGIN =====")
|
||
print(f"node={self.node_id} type={self.type_name}")
|
||
print(f"Status: {resp.status_code}")
|
||
try:
|
||
print("Headers:")
|
||
print(json.dumps(dict(resp.headers), ensure_ascii=False, indent=2))
|
||
except Exception:
|
||
try:
|
||
print(f"Headers(raw): {dict(resp.headers)}")
|
||
except Exception:
|
||
print("Headers(raw): <unavailable>")
|
||
try:
|
||
resp_text = resp.text
|
||
except Exception:
|
||
resp_text = "<resp.text decode error>"
|
||
print("Body Text:")
|
||
print(resp_text)
|
||
print("===== RawForward RESPONSE END =====")
|
||
except Exception:
|
||
resp_text = "<resp.text decode error>"
|
||
|
||
# SSE: http_resp
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
await trace_fn({
|
||
"event": "http_resp",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"req_id": req_id,
|
||
"status": int(resp.status_code),
|
||
"headers": dict(resp.headers),
|
||
"body_text": resp_text if isinstance(resp_text, str) else str(resp_text),
|
||
})
|
||
except Exception:
|
||
pass
|
||
|
||
# Разбор результата
|
||
try:
|
||
data = resp.json()
|
||
except Exception:
|
||
data = {"error": "Failed to decode JSON from upstream", "text": resp_text}
|
||
|
||
# Извлечение текста: приоритет — пресет ноды -> кастомные поля ноды -> глобальные meta.
|
||
try:
|
||
meta_opts = (context.get("meta") or {})
|
||
presets = meta_opts.get("text_extract_presets") or []
|
||
cfg = self.config or {}
|
||
|
||
strategy = None
|
||
json_path = None
|
||
join_sep = None
|
||
|
||
# 1) Пресет по id, выбранный в ноде
|
||
pid = str(cfg.get("text_extract_preset_id") or "").strip()
|
||
if pid:
|
||
try:
|
||
pr = next((x for x in presets if isinstance(x, dict) and str(x.get("id", "")) == pid), None)
|
||
except Exception:
|
||
pr = None
|
||
if pr:
|
||
strategy = str(pr.get("strategy") or "auto")
|
||
json_path = str(pr.get("json_path") or "")
|
||
join_sep = str(pr.get("join_sep") or "\n")
|
||
|
||
# 2) Кастомные поля ноды (если что-то задано)
|
||
if not strategy and (cfg.get("text_extract_strategy") is not None or cfg.get("text_extract_json_path") is not None or cfg.get("text_join_sep") is not None):
|
||
strategy = str(cfg.get("text_extract_strategy") or "auto")
|
||
json_path = str(cfg.get("text_extract_json_path") or "")
|
||
join_sep = str(cfg.get("text_join_sep") or "\n")
|
||
|
||
# 3) Глобальные метаданные запуска (дефолт)
|
||
if not strategy:
|
||
strategy = str(meta_opts.get("text_extract_strategy", "auto") or "auto")
|
||
json_path = str(meta_opts.get("text_extract_json_path", "") or "")
|
||
join_sep = str(meta_opts.get("text_join_sep", "\n") or "\n")
|
||
except Exception:
|
||
strategy, json_path, join_sep = "auto", "", "\n"
|
||
|
||
# Подсказка о провайдере: используем detect_vendor(data) как hint для auto
|
||
try:
|
||
prov_hint = detect_vendor(data if isinstance(data, dict) else {}) # type: ignore[arg-type]
|
||
except Exception:
|
||
prov_hint = "unknown"
|
||
|
||
best_text = _extract_text_for_out(data, strategy, prov_hint, json_path, join_sep)
|
||
# Подробный SSE-лог завершения RawForward
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
# Compute destination macros for extracted text and include req_id
|
||
try:
|
||
to_path = f"OUT.{self.node_id}.response_text"
|
||
macro_braces = f"{{{{ OUT.{self.node_id}.response_text }}}}"
|
||
alias_macro = ""
|
||
m = re.match(r"^n(\d+)$", str(self.node_id))
|
||
if m:
|
||
alias_macro = f"[[OUT{int(m.group(1))}]]"
|
||
except Exception:
|
||
to_path = f"OUT.{self.node_id}.response_text"
|
||
macro_braces = f"{{{{ OUT.{self.node_id}.response_text }}}}"
|
||
alias_macro = ""
|
||
await trace_fn({
|
||
"event": "rawforward_done",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"method": method,
|
||
"url": url,
|
||
"req_id": req_id,
|
||
"status": int(resp.status_code) if 'resp' in locals() else None,
|
||
"text_len": int(len(best_text or "")),
|
||
"extracted_text": best_text or "",
|
||
"strategy": strategy,
|
||
"json_path": json_path or "",
|
||
"join_sep": join_sep or "\n",
|
||
"to_path": to_path,
|
||
"to_macro_outx": alias_macro,
|
||
"to_macro_braces": macro_braces,
|
||
"ts": int(time.time() * 1000),
|
||
})
|
||
except Exception:
|
||
pass
|
||
return {"result": data, "response_text": best_text or ""}
|
||
|
||
class ReturnNode(Node):
|
||
type_name = "Return"
|
||
|
||
async def run(self, inputs: Dict[str, Any], context: Dict[str, Any]) -> Dict[str, Any]: # noqa: D401
|
||
# Определяем целевой формат
|
||
cfg = self.config or {}
|
||
target = str(cfg.get("target_format", "auto")).lower().strip() or "auto"
|
||
if target == "auto":
|
||
target = str(context.get("vendor_format") or "openai").lower().strip() or "openai"
|
||
|
||
# Рендерим текст из шаблона (по умолчанию берём [[OUT1]])
|
||
out_map = context.get("OUT") or {}
|
||
template = cfg.get("text_template")
|
||
if template is None or template == "":
|
||
template = "[[OUT1]]"
|
||
try:
|
||
text = render_template_simple(str(template), context, out_map)
|
||
except Exception:
|
||
text = ""
|
||
|
||
model = str(context.get("model") or "")
|
||
|
||
# Форматтеры под провайдеры (как в execute_pipeline_echo)
|
||
def fmt_openai(t: str) -> Dict[str, Any]:
|
||
return {
|
||
"id": "ret_mock_123",
|
||
"object": "chat.completion",
|
||
"model": model,
|
||
"choices": [
|
||
{
|
||
"index": 0,
|
||
"message": {"role": "assistant", "content": t},
|
||
"finish_reason": "stop",
|
||
}
|
||
],
|
||
"usage": {"prompt_tokens": 0, "completion_tokens": len((t or "").split()), "total_tokens": 0},
|
||
}
|
||
|
||
def fmt_gemini(t: str) -> Dict[str, Any]:
|
||
return {
|
||
"candidates": [
|
||
{
|
||
"content": {
|
||
"role": "model",
|
||
"parts": [{"text": t}],
|
||
},
|
||
"finishReason": "STOP",
|
||
"index": 0,
|
||
}
|
||
],
|
||
"modelVersion": model,
|
||
}
|
||
|
||
def fmt_claude(t: str) -> Dict[str, Any]:
|
||
return {
|
||
"id": "msg_ret_123",
|
||
"type": "message",
|
||
"model": model,
|
||
"role": "assistant",
|
||
"content": [
|
||
{"type": "text", "text": t}
|
||
],
|
||
"stop_reason": "end_turn",
|
||
}
|
||
|
||
if target == "openai":
|
||
result = fmt_openai(text)
|
||
elif target == "gemini":
|
||
result = fmt_gemini(text)
|
||
elif target == "claude":
|
||
result = fmt_claude(text)
|
||
else:
|
||
# неизвестное значение — безопасный дефолт
|
||
result = fmt_openai(text)
|
||
|
||
# Подробный SSE-лог Return
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
await trace_fn({
|
||
"event": "return_detail",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"target": target,
|
||
"text_len": int(len(text or "")),
|
||
"template_used": str(template),
|
||
"ts": int(time.time() * 1000),
|
||
})
|
||
except Exception:
|
||
pass
|
||
|
||
return {"result": result, "response_text": text}
|
||
|
||
|
||
class IfNode(Node):
|
||
type_name = "If"
|
||
|
||
async def run(self, inputs: Dict[str, Any], context: Dict[str, Any]) -> Dict[str, Any]: # noqa: D401
|
||
expr = str(self.config.get("expr") or "").strip()
|
||
out_map = context.get("OUT") or {}
|
||
# Для логов: отображаем развёрнутое выражение (с подставленными макросами)
|
||
try:
|
||
expanded = render_template_simple(expr, context, out_map)
|
||
except Exception:
|
||
expanded = expr
|
||
try:
|
||
res = bool(eval_condition_expr(expr, context, out_map)) if expr else False
|
||
except Exception as exc: # noqa: BLE001
|
||
# Расширенный лог, чтобы быстрее найти ошибку парсинга/оценки выражения
|
||
try:
|
||
print(f"TRACE if_error: {self.node_id} expr={expr!r} expanded={expanded!r} error={exc}")
|
||
except Exception:
|
||
pass
|
||
raise ExecutionError(f"If expr error: {exc}")
|
||
try:
|
||
print(f"TRACE if: {self.node_id} expr={expr!r} expanded={expanded!r} result={str(res).lower()}")
|
||
except Exception:
|
||
pass
|
||
# Подробный SSE-лог по If
|
||
try:
|
||
trace_fn = context.get("_trace")
|
||
if trace_fn:
|
||
await trace_fn({
|
||
"event": "if_result",
|
||
"node_id": self.node_id,
|
||
"node_type": self.type_name,
|
||
"expr": expr,
|
||
"expanded": expanded,
|
||
"result": bool(res),
|
||
"ts": int(time.time() * 1000),
|
||
})
|
||
except Exception:
|
||
pass
|
||
return {"result": res, "true": res, "false": (not res)}
|
||
|
||
|
||
NODE_REGISTRY.update({
|
||
SetVarsNode.type_name: SetVarsNode,
|
||
ProviderCallNode.type_name: ProviderCallNode,
|
||
RawForwardNode.type_name: RawForwardNode,
|
||
ReturnNode.type_name: ReturnNode,
|
||
IfNode.type_name: IfNode,
|
||
})
|
||
|
||
|
||
|