Compare commits

...
Author SHA1 Message Date
QihuAI Design 79c27795a8 Phase 4.2+4.3: YAML workflow spec + ACA protocol abstraction (v2026.07.19.10)
CI / gate (push) Has been cancelled
2026-07-19 20:17:49 +08:00
QihuAI Design c716dab851 Phase 4.1+: expose version/verified/security_scan/dependencies in admin get_all_apps
CI / gate (push) Has been cancelled
2026-07-19 19:29:48 +08:00
10 changed files with 941 additions and 1 deletions

No files matched your search

+1 -1
View File
@@ -1 +1 @@
v2026.07.19.9 v2026.07.19.10
@@ -654,3 +654,131 @@ async def set_agent_orchestration(
agent.orchestration = og agent.orchestration = og
db.commit() db.commit()
return {"agent_id": agent_id, "orchestration": agent.orchestration, "updated": True} return {"agent_id": agent_id, "orchestration": agent.orchestration, "updated": True}
# ============================================================
# Phase 4.2: YAML workflow import/export/validate/templates
# ============================================================
import yaml as _yaml
import os as _os
from app.core.yaml_workflow import validate_yaml, yaml_to_orchestration, orchestration_to_yaml
from app.core.orchestrator import validate_graph
_YTMPL = _os.path.join(_os.path.dirname(_os.path.dirname(_os.path.dirname(__file__))), "workflow_templates")
class YAMLBody(BaseModel):
yaml_text: str
@router.post("/orchestration/yaml/validate", summary="校验 YAML 工作流")
async def yaml_validate(req: YAMLBody, admin_user=Depends(get_current_admin)):
try:
data = _yaml.safe_load(req.yaml_text)
except _yaml.YAMLError as e:
return {"ok": False, "errors": [f"YAML parse: {str(e)}"], "warnings": []}
r = validate_yaml(data)
if r["ok"]:
try:
validate_graph(yaml_to_orchestration(data))
except Exception as e:
r["ok"] = False; r["errors"].append(f"Graph fail: {str(e)}")
return r
@router.post("/{agent_id}/orchestration/yaml/import", summary="YAML 导入编排")
async def yaml_import(agent_id: str, req: YAMLBody, admin_user=Depends(get_current_admin), db=Depends(get_db)):
ag = db.query(MarketApp).filter(MarketApp.id == agent_id, MarketApp.type == "agent").first()
if not ag:
raise HTTPException(status_code=404, detail="Agent not found")
try:
data = _yaml.safe_load(req.yaml_text)
except _yaml.YAMLError as e:
raise HTTPException(status_code=400, detail=f"YAML parse: {str(e)}")
v = validate_yaml(data)
if not v["ok"]:
raise HTTPException(status_code=400, detail="YAML invalid: " + "; ".join(v["errors"]))
orch = yaml_to_orchestration(data)
try:
validate_graph(orch)
except Exception as e:
raise HTTPException(status_code=400, detail=f"Graph invalid: {str(e)}")
ag.orchestration = orch
ag.updated_at = datetime.now()
db.commit()
return {"agent_id": agent_id, "orchestration": ag.orchestration, "imported": True}
@router.post("/{agent_id}/orchestration/yaml/export", summary="编排导出 YAML")
async def yaml_export(agent_id: str, admin_user=Depends(get_current_admin), db=Depends(get_db)):
ag = db.query(MarketApp).filter(MarketApp.id == agent_id, MarketApp.type == "agent").first()
if not ag:
raise HTTPException(status_code=404, detail="Agent not found")
if not ag.orchestration:
raise HTTPException(status_code=400, detail="No orchestration")
yaml_str = _yaml.dump(orchestration_to_yaml(ag.orchestration), allow_unicode=True, default_flow_style=False, sort_keys=False)
return {"agent_id": agent_id, "yaml": yaml_str, "version": "1.0"}
@router.get("/orchestration/yaml/templates", summary="内置模板")
async def yaml_templates(admin_user=Depends(get_current_admin)):
tmpls = []
if _os.path.isdir(_YTMPL):
for fp in sorted(_os.listdir(_YTMPL)):
if fp.endswith((".yaml", ".yml")):
try:
with open(_os.path.join(_YTMPL, fp), encoding="utf-8") as f:
txt = f.read()
d = _yaml.safe_load(txt) or {}
tmpls.append({"filename": fp, "name": d.get("name", fp),
"description": d.get("description", ""),
"category": d.get("category", "general"), "yaml": txt})
except Exception:
tmpls.append({"filename": fp, "name": fp, "error": True})
return {"templates": tmpls, "count": len(tmpls)}
# ============================================================
# Phase 4.3: ACA 协议抽象 — protocols / tools / health
# ============================================================
from app.core.aca import registry as _aca_registry, init_aca_registry
# 懒初始化:首次调用 ACA 端点时确保 registry 已填充
_aca_initialized = False
def _ensure_aca():
global _aca_initialized
if not _aca_initialized:
init_aca_registry()
_aca_initialized = True
@router.get("/aca/protocols", summary="ACA 已注册协议")
async def aca_protocols(admin_user=Depends(get_current_admin)):
_ensure_aca()
return [
{"name": a.name, "version": a.version, "capabilities": a.capabilities}
for a in _aca_registry.list_all()
]
@router.get("/aca/protocols/{name}/tools", summary="协议工具列表")
async def aca_protocol_tools(name: str, admin_user=Depends(get_current_admin)):
_ensure_aca()
adapter = _aca_registry.get(name)
if not adapter:
raise HTTPException(status_code=404, detail=f"协议 {name} 未注册")
tools = await adapter.list_tools()
return {"protocol": name, "tools": tools, "count": len(tools)}
@router.post("/aca/protocols/{name}/health", summary="协议健康检查")
async def aca_protocol_health(name: str, admin_user=Depends(get_current_admin)):
_ensure_aca()
adapter = _aca_registry.get(name)
if not adapter:
raise HTTPException(status_code=404, detail=f"协议 {name} 未注册")
ok = await adapter.health_check()
return {"protocol": name, "healthy": ok}
@@ -183,6 +183,11 @@ async def get_all_apps(
"install_count": a.install_count, "install_count": a.install_count,
"created_at": a.created_at.isoformat() if a.created_at else None, "created_at": a.created_at.isoformat() if a.created_at else None,
"updated_at": a.updated_at.isoformat() if a.updated_at else None, "updated_at": a.updated_at.isoformat() if a.updated_at else None,
# Phase 4.1: 安检/版本化/绿标
"version": a.version or "1.0.0",
"security_scan": a.security_scan,
"verified": bool(a.verified),
"dependencies": a.dependencies,
} }
for a in apps for a in apps
], ],
+293
View File
@@ -0,0 +1,293 @@
"""Phase 4.3: ACA (Agent Communication Abstraction) 协议抽象层.
设计目标:
- 定义统一对外工具协议接口,隔离 MCP / A2A / 自定义协议的具体实现。
- 防止协议绑架:未来 MCP 升级或 A2A 替代 MCP 时,只需增删适配器,不改业务代码。
- 每个协议适配器被注册为 "protocol adapter",按名称发现。
接口:
ACAProtocol
name: str
version: str
capabilities: list[str]
async list_tools() -> list[dict] # [{name, description, inputSchema}]
async call_tool(tool_name, arguments) -> str
async health_check() -> bool
ProtocolRegistry
register(adapter: ACAProtocol)
get(name: str) -> ACAProtocol
list_all() -> list[ACAProtocol]
async list_all_tools() -> list[dict] # 聚合所有协议的 tools,带 protocol tag
async call_tool(protocol_name, tool_name, args) -> str
使用示例:
from app.core.aca import registry
tools = await registry.list_all_tools()
# tools: [{"name":"search","protocol":"mcp","description":"..."}, ...]
result = await registry.call_tool("mcp", "search", {"query":"..."})
"""
from __future__ import annotations
import abc
import asyncio
import json
import logging
from typing import Any
import httpx
logger = logging.getLogger("aiflow.aca")
# ── 协议接口 ─────────────────────────────────────────────────────────────────
class ACAProtocol(abc.ABC):
name: str = ""
version: str = "1.0"
capabilities: list[str] = []
@abc.abstractmethod
async def list_tools(self) -> list[dict]:
"""返回 [{name, description, inputSchema}]。"""
@abc.abstractmethod
async def call_tool(self, tool_name: str, arguments: dict) -> str:
"""调用工具并返回文本结果。"""
async def health_check(self) -> bool:
"""健康检查,默认 True。"""
return True
def __repr__(self):
return f"<ACA {self.name} v{self.version}>"
# ── 注册表 ───────────────────────────────────────────────────────────────────
class ProtocolRegistry:
"""全局协议注册表,单例。"""
def __init__(self):
self._adapters: dict[str, ACAProtocol] = {}
def register(self, adapter: ACAProtocol):
if not adapter.name:
raise ValueError("protocol adapter must have a name")
self._adapters[adapter.name] = adapter
logger.info("ACA registry: registered %s", adapter)
def get(self, name: str) -> ACAProtocol | None:
return self._adapters.get(name)
def list_all(self) -> list[ACAProtocol]:
return list(self._adapters.values())
async def list_all_tools(self) -> list[dict]:
"""聚合所有已注册协议的 tools,每个 tool 标记 protocol。"""
tasks = [self._list_with_name(a) for a in self._adapters.values()]
results = await asyncio.gather(*tasks, return_exceptions=True)
flat: list[dict] = []
for rlist in results:
if isinstance(rlist, list):
flat.extend(rlist)
return flat
async def _list_with_name(self, adapter: ACAProtocol) -> list[dict]:
try:
tools = await adapter.list_tools()
for t in tools:
t["protocol"] = adapter.name
return tools
except Exception as e:
logger.warning("ACA: list_tools failed for %s: %s", adapter.name, e)
return []
async def call_tool(self, protocol_name: str, tool_name: str, arguments: dict) -> str:
adapter = self._adapters.get(protocol_name)
if not adapter:
raise ValueError(f"协议 {protocol_name} 未注册")
return await adapter.call_tool(tool_name, arguments)
# 全局单例
registry = ProtocolRegistry()
# ── MCP 适配器 ───────────────────────────────────────────────────────────────
class McpProtocolAdapter(ACAProtocol):
"""包装平台现有的 MCP 客户端 (app.mcp_client),提供统一协议接口。"""
def __init__(self, server_configs: list[dict] = None):
self.name = "mcp"
self.version = "1.0"
self.capabilities = ["tools", "resources", "prompts"]
self._server_configs = server_configs or []
self._tools_cache: list[dict] = []
self._cache_ts: float = 0
async def list_tools(self) -> list[dict]:
# Use cached tools if available (TTL 30s)
import time
if self._tools_cache and (time.time() - self._cache_ts) < 30:
return [dict(t) for t in self._tools_cache]
from app.mcp_client import list_mcp_tools
all_tools: list[dict] = []
for server in self._server_configs:
try:
tools = await list_mcp_tools(server)
for t in tools:
t["_mcp_server_id"] = server.get("id", "")
t["_mcp_server_name"] = server.get("name", "")
all_tools.extend(tools)
except Exception as e:
logger.warning("MCP list_tools failed for %s: %s", server.get("name"), e)
self._tools_cache = [dict(t) for t in all_tools]
self._cache_ts = time.time()
return list(self._tools_cache)
async def call_tool(self, tool_name: str, arguments: dict) -> str:
from app.mcp_client import call_mcp_tool
# Find the server that has this tool (check cache first)
for t in self._tools_cache:
if t.get("name") == tool_name:
sid = t.get("_mcp_server_id", "")
server = next((s for s in self._server_configs if s.get("id") == sid), None)
if server:
return await call_mcp_tool(server, tool_name, arguments)
# Fallback: try first available server
if self._server_configs:
return await call_mcp_tool(self._server_configs[0], tool_name, arguments)
return json.dumps({"error": "No MCP server configured for tool: " + tool_name})
async def health_check(self) -> bool:
# Check if any MCP server is connected
try:
tools = await self.list_tools()
return len(tools) > 0
except Exception:
return False
# ── A2A 适配器 ───────────────────────────────────────────────────────────────
class A2aProtocolAdapter(ACAProtocol):
"""A2A (Agent-to-Agent) 协议适配器。
通过标准 JSON-RPC 与远端 Agent 通信。端点需实现:
- POST /a2a/tools → 返回工具列表
- POST /a2a/call → 调用工具
A2A 规范参考: agentcommunicationprotocol.dev
"""
def __init__(self, endpoint: str, api_key: str = None, timeout: float = 30):
self.name = "a2a"
self.version = "0.9"
self.capabilities = ["tools"]
self.endpoint = endpoint.rstrip("/")
self.api_key = api_key
self.timeout = timeout
async def list_tools(self) -> list[dict]:
async with httpx.AsyncClient(timeout=self.timeout, trust_env=False) as client:
headers = self._headers()
resp = await client.post(f"{self.endpoint}/a2a/tools", headers=headers, json={})
if resp.status_code != 200:
logger.warning("A2A list_tools %s HTTP %s: %s", self.endpoint, resp.status_code, resp.text[:200])
return []
data = resp.json()
return data.get("tools") or data.get("data", {}).get("tools") or []
async def call_tool(self, tool_name: str, arguments: dict) -> str:
async with httpx.AsyncClient(timeout=self.timeout, trust_env=False) as client:
headers = self._headers()
body = {
"jsonrpc": "2.0",
"method": "tools/call",
"params": {"name": tool_name, "arguments": arguments},
"id": 1,
}
resp = await client.post(f"{self.endpoint}/a2a/call", headers=headers, json=body)
if resp.status_code != 200:
return json.dumps({"error": f"A2A HTTP {resp.status_code}: {resp.text[:300]}"})
data = resp.json()
if "error" in data:
return json.dumps({"error": data["error"]})
result = data.get("result")
if isinstance(result, dict):
return result.get("content", json.dumps(result))
return str(result) if result is not None else ""
async def health_check(self) -> bool:
try:
async with httpx.AsyncClient(timeout=10, trust_env=False) as client:
headers = self._headers()
resp = await client.get(f"{self.endpoint}/a2a/health", headers=headers)
return resp.status_code == 200
except Exception:
return False
def _headers(self) -> dict:
h = {"Content-Type": "application/json"}
if self.api_key:
h["Authorization"] = f"Bearer {self.api_key}"
return h
# ── 启动时初始化 ─────────────────────────────────────────────────────────────
def init_aca_registry():
"""在应用启动时调用,注册所有协议适配器到全局 registry。"""
from app.database import SessionLocal
from app.models import MCPServer
# 注册 MCP 适配器(从 DB 读取所有 enabled MCP server 配置)
try:
db = SessionLocal()
servers = db.query(MCPServer).filter(MCPServer.is_enabled == True).all()
server_configs = []
for s in servers:
server_configs.append({
"id": s.id,
"name": s.name,
"transport_type": s.transport_type,
"command": s.command,
"args": json.loads(s.args) if isinstance(s.args, str) else s.args or [],
"env_vars": json.loads(s.env_vars) if isinstance(s.env_vars, str) else s.env_vars or {},
"url": s.url,
"headers": json.loads(s.headers) if isinstance(s.headers, str) else s.headers or {},
})
db.close()
if server_configs:
registry.register(McpProtocolAdapter(server_configs))
logger.info("ACA: MCP adapter registered with %d servers", len(server_configs))
except Exception as e:
logger.warning("ACA: failed to init MCP adapter: %s", e)
# 注册 A2A 适配器(从配置或 DB 读取 A2A endpoint)
# A2A endpoint 可以从 site_settings 读取,暂无则留空(以后台配置驱动)
a2a_endpoint = _get_a2a_config()
if a2a_endpoint:
registry.register(A2aProtocolAdapter(
endpoint=a2a_endpoint.get("endpoint", ""),
api_key=a2a_endpoint.get("api_key"),
))
logger.info("ACA: A2A adapter registered at %s", a2a_endpoint.get("endpoint"))
def _get_a2a_config() -> dict | None:
"""从 site_settings 读取 A2A 全局配置。"""
try:
from app.database import SessionLocal
from app.models import SiteSetting
db = SessionLocal()
setting = db.query(SiteSetting).filter(SiteSetting.key == "aca_a2a_endpoint").first()
db.close()
if setting and setting.value:
val = json.loads(setting.value) if isinstance(setting.value, str) else setting.value
if isinstance(val, dict) and val.get("endpoint"):
return val
except Exception:
pass
return None
+302
View File
@@ -0,0 +1,302 @@
"""Phase 4.2: QihuFlow 工作流可移植描述语言 (YAML v1.0)
提供 YAML 工作流文本 ↔ orchestrator JSON 的双向转换与校验。
YAML 规范 v1.0 示例:
version: "1.0"
name: "Research & Code"
description: "Research then generate code"
output_node: merge
nodes:
- id: research
type: llm
on_error: continue
config:
model: auto
system_prompt: "You are a researcher."
- id: coder
type: local
agent_id: "uuid-here"
config:
skill_ids: ["search", "code-run"]
- id: merge
type: reduce
config:
strategy: concat
edges:
- from: research
to: coder
- from: coder
to: merge
config 字段映射(YAML config ↔ orchestrator JSON):
YAML config key JSON field
─────────────────────────────────────────────
model model_id
system_prompt system_prompt
skill_ids skill_ids
knowledge_base_ids knowledge_base_ids
endpoint agent_endpoint
api_key api_key
strategy strategy (reduce)
max_tokens max_tokens
"""
from __future__ import annotations
import re
import json
from typing import Any
SPEC_VERSION = "1.0"
# YAML config → JSON field mapping
_CONFIG_MAP = {
"model": "model_id",
"system_prompt": "system_prompt",
"skill_ids": "skill_ids",
"knowledge_base_ids": "knowledge_base_ids",
"endpoint": "agent_endpoint",
"api_key": "api_key",
"strategy": "strategy",
"max_tokens": "max_tokens",
"description": "description",
}
# reverse map: JSON → YAML config keys to nest
_REVERSE_CONFIG = {
"model_id", "system_prompt", "skill_ids", "knowledge_base_ids",
"agent_endpoint", "api_key", "strategy", "max_tokens",
}
VALID_NODE_TYPES = {"llm", "local", "external", "reduce"}
VALID_ON_ERROR = {"halt", "continue"}
VALID_REDUCE_STRATEGY = {"concat", "first", "last"}
# ── validation ──────────────────────────────────────────────────────────────
def validate_yaml(data: Any) -> dict:
"""校验 YAML 工作流结构,返回 {ok, errors:[...], warnings:[...]}。
data 应为解析后的 YAML 字典(由调用方用 yaml.safe_load 解析)。
"""
errors: list = []
warnings: list = []
if not isinstance(data, dict):
return {"ok": False, "errors": ["YAML 顶层必须为对象"], "warnings": []}
version = data.get("version")
if not version or version != SPEC_VERSION:
warnings.append(f"version 应为 \"{SPEC_VERSION}\",当前为 \"{version}\"")
nodes = data.get("nodes")
if not isinstance(nodes, list) or not nodes:
errors.append("nodes 必须为非空数组")
return {"ok": False, "errors": errors, "warnings": warnings}
node_ids: set = set()
for i, node in enumerate(nodes):
if not isinstance(node, dict):
errors.append(f"节点 #{i} 必须为对象")
continue
nid = node.get("id")
if not nid or not isinstance(nid, str):
errors.append(f"节点 #{i} 缺少字符串 id")
continue
if nid in node_ids:
errors.append(f"节点 id 重复: {nid}")
node_ids.add(nid)
ntype = node.get("type")
if ntype not in VALID_NODE_TYPES:
errors.append(f"节点 {nid} 类型非法: {ntype} (允许 {', '.join(sorted(VALID_NODE_TYPES))})")
on_error = node.get("on_error", "continue")
if on_error and on_error not in VALID_ON_ERROR:
errors.append(f"节点 {nid} on_error 非法: {on_error}")
# type-specific checks
if ntype in ("local", "external"):
if not node.get("agent_id"):
errors.append(f"节点 {nid} 类型 {ntype} 必须指定 agent_id")
# config validation
cfg = node.get("config", {})
if isinstance(cfg, dict):
strategy = cfg.get("strategy")
if strategy and strategy not in VALID_REDUCE_STRATEGY:
errors.append(f"节点 {nid} config.strategy 非法: {strategy}")
edges = data.get("edges", [])
if not isinstance(edges, list):
errors.append("edges 必须为数组")
else:
for i, edge in enumerate(edges):
if not isinstance(edge, dict):
errors.append(f"边 #{i} 必须为对象")
continue
f = edge.get("from")
t = edge.get("to")
if not f or not t:
errors.append(f"边 #{i} 缺少 from/to")
if f and f not in node_ids:
errors.append(f"边 #{i} from={f} 指向不存在的节点")
if t and t not in node_ids:
errors.append(f"边 #{i} to={t} 指向不存在的节点")
if f and t and f == t:
errors.append(f"边 #{i} 存在自环: {f}")
output_node = data.get("output_node")
if output_node and output_node not in node_ids:
warnings.append(f"output_node={output_node} 不存在于节点列表中,将自动检测出度为零的节点")
# cycle detection (topological sort)
if node_ids and not errors:
indeg = {nid: 0 for nid in node_ids}
adj = {nid: [] for nid in node_ids}
for e in edges:
if isinstance(e, dict):
f, t = e.get("from"), e.get("to")
if f in adj and t in adj:
adj[f].append(t)
indeg[t] += 1
queue = [nid for nid in node_ids if indeg[nid] == 0]
processed = 0
while queue:
n = queue.pop(0)
processed += 1
for nxt in adj[n]:
indeg[nxt] -= 1
if indeg[nxt] == 0:
queue.append(nxt)
if processed != len(node_ids):
errors.append("检测到环路,无法进行拓扑排序")
return {
"ok": len(errors) == 0,
"errors": errors,
"warnings": warnings,
}
# ── YAML → orchestrator JSON ─────────────────────────────────────────────────
def yaml_to_orchestration(data: dict) -> dict:
"""将 YAML 工作流对象转换为 orchestrator.run_graph() 接受的 JSON 格式。"""
result: dict = {"nodes": [], "edges": []}
result["name"] = data.get("name")
result["description"] = data.get("description")
if data.get("output_node"):
result["output_node"] = data["output_node"]
for raw_node in data.get("nodes", []):
if not isinstance(raw_node, dict):
continue
node: dict = {
"id": raw_node.get("id", ""),
"type": raw_node.get("type", "llm"),
"description": raw_node.get("description", ""),
"on_error": raw_node.get("on_error", "continue"),
}
# agent_id for local/external
if raw_node.get("agent_id"):
node["agent_id"] = raw_node["agent_id"]
# flatten config into top-level keys
config = raw_node.get("config", {})
if isinstance(config, dict):
for yaml_key, json_key in _CONFIG_MAP.items():
if yaml_key in config and config[yaml_key] is not None:
node[json_key] = config[yaml_key]
# also carry over any extra keys from raw_node (preserve flexibility)
for k, v in raw_node.items():
if k not in ("id", "type", "config", "description", "on_error", "agent_id"):
if k in ("skill_ids", "knowledge_base_ids", "model_id", "system_prompt",
"agent_endpoint", "api_key", "strategy", "max_tokens"):
node[k] = v
result["nodes"].append(node)
for edge in data.get("edges", []):
if isinstance(edge, dict):
result["edges"].append({
"from": edge.get("from", ""),
"to": edge.get("to", ""),
})
return result
# ── orchestrator JSON → YAML ─────────────────────────────────────────────────
def orchestration_to_yaml(data: dict) -> dict:
"""将 orchestrator JSON 转换为 YAML 规范对象(可再 yaml.dump 输出)。"""
result: dict = {"version": SPEC_VERSION}
if data.get("name"):
result["name"] = data["name"]
if data.get("description"):
result["description"] = data["description"]
if data.get("output_node"):
result["output_node"] = data["output_node"]
result["nodes"] = []
for json_node in data.get("nodes", []):
if not isinstance(json_node, dict):
continue
node: dict = {
"id": json_node.get("id", ""),
"type": json_node.get("type", "llm"),
}
if json_node.get("description"):
node["description"] = json_node["description"]
if json_node.get("on_error"):
node["on_error"] = json_node["on_error"]
if json_node.get("agent_id"):
node["agent_id"] = json_node["agent_id"]
# nest known config keys into config sub-object
config: dict = {}
for yaml_key, json_key in _CONFIG_MAP.items():
if json_key in json_node and json_node[json_key] is not None:
config[yaml_key] = json_node[json_key]
# also preserve any extra keys not in the map
for k, v in json_node.items():
if k not in ("id", "type", "description", "on_error", "agent_id") \
and k not in _REVERSE_CONFIG:
if v is not None:
config[k] = v
if config:
node["config"] = config
result["nodes"].append(node)
result["edges"] = []
for edge in data.get("edges", []):
if isinstance(edge, dict):
result["edges"].append({
"from": edge.get("from", ""),
"to": edge.get("to", ""),
})
return result
# ── YAML 模板参数替换 ────────────────────────────────────────────────────────
def apply_template_params(yaml_text: str, params: dict) -> str:
"""替换 YAML 模板中的 ${param} 占位符。"""
def _replacer(m: re.Match) -> str:
key = m.group(1)
return str(params.get(key, m.group(0)))
return re.sub(r"\$\{(\w+)\}", _replacer, yaml_text)
@@ -0,0 +1,35 @@
version: "1.0"
name: "Code Review Pipeline"
description: "Generate code → review → merge. A standard code-review workflow."
category: development
nodes:
- id: code_gen
type: llm
description: "Generate code based on requirements"
on_error: halt
config:
model: auto
system_prompt: "You are a senior software engineer. Write clean, production-ready code based on the user's requirements. Include comments and error handling."
- id: review
type: llm
description: "Review generated code for bugs and style"
on_error: continue
config:
model: auto
system_prompt: "You are a code reviewer. Analyze the provided code for bugs, style issues, performance problems, and security vulnerabilities. Provide specific, actionable feedback."
- id: merge
type: reduce
description: "Combine code with review feedback"
config:
strategy: concat
edges:
- from: code_gen
to: review
- from: code_gen
to: merge
- from: review
to: merge
@@ -0,0 +1,35 @@
version: "1.0"
name: "Multi-Agent Debate"
description: "Two agents debate a topic from opposing perspectives, then a judge agent synthesizes the conclusion."
category: creativity
nodes:
- id: proponent
type: llm
description: "Argue in favor of the proposition"
on_error: continue
config:
model: auto
system_prompt: "You are a skilled debater. Argue strongly IN FAVOR of the given proposition. Use logic, evidence, and persuasive reasoning. Be passionate but fair."
- id: opponent
type: llm
description: "Argue against the proposition"
on_error: continue
config:
model: auto
system_prompt: "You are a skilled debater. Argue strongly AGAINST the given proposition. Use logic, evidence, and persuasive reasoning to find flaws in the proponent's case."
- id: judge
type: llm
description: "Evaluate both sides and reach a conclusion"
on_error: continue
config:
model: auto
system_prompt: "You are an impartial judge. Evaluate both arguments fairly. Identify the strongest points from each side. Provide a balanced conclusion and recommendation."
edges:
- from: proponent
to: judge
- from: opponent
to: judge
@@ -0,0 +1,25 @@
version: "1.0"
name: "RAG Search Pipeline"
description: "Search knowledge base → augment with context → generate answer. Standard RAG pipeline."
category: productivity
nodes:
- id: search
type: llm
description: "Generate search queries and retrieve relevant context"
on_error: continue
config:
model: auto
system_prompt: "You are a search specialist. For the given question, identify 2-3 key search points. Then search the provided knowledge base for relevant information. Return the most relevant passages with source references."
- id: answer
type: llm
description: "Generate final answer with citations"
on_error: continue
config:
model: auto
system_prompt: "You are a knowledge assistant. Using the search results provided, generate a comprehensive answer. Always cite your sources. If information is insufficient, clearly state what is missing."
edges:
- from: search
to: answer
@@ -0,0 +1,25 @@
version: "1.0"
name: "Research & Answer"
description: "Research topic → generate answer. Uses two LLM nodes for research and synthesis."
category: productivity
nodes:
- id: research
type: llm
description: "Search and gather information on the topic"
on_error: continue
config:
model: auto
system_prompt: "You are a thorough researcher. Search for key facts, data points, and relevant context about the given topic. Provide a comprehensive summary with citations."
- id: answer
type: llm
description: "Synthesize research into final answer"
on_error: continue
config:
model: auto
system_prompt: "You are a professional writer. Based on the research summary provided, craft a clear, well-structured answer for the user. Include key findings and actionable insights."
edges:
- from: research
to: answer
+92
View File
@@ -0,0 +1,92 @@
"""Phase 4.2+4.3: YAML workflow + ACA protocol registry tests."""
import pytest
from app.core.yaml_workflow import validate_yaml, yaml_to_orchestration, orchestration_to_yaml
# ── YAML workflow tests ──────────────────────────────────────────────────────
VALID_YAML = """
version: "1.0"
name: "Test"
nodes:
- id: a
type: llm
config:
model: auto
system_prompt: "You are a helper."
- id: b
type: llm
- id: c
type: reduce
config:
strategy: concat
edges:
- from: a
to: b
- from: b
to: c
- from: a
to: c
"""
def test_validate_valid():
import yaml
data = yaml.safe_load(VALID_YAML)
r = validate_yaml(data)
assert r["ok"], r["errors"]
assert r["errors"] == []
def test_validate_invalid_type():
import yaml
data = yaml.safe_load("version: '1.0'\nnodes:\n - id: x\n type: bogus")
r = validate_yaml(data)
assert not r["ok"]
assert any("bogus" in e for e in r["errors"])
def test_validate_cycle():
import yaml
data = yaml.safe_load("version: '1.0'\nnodes:\n - id: a\n type: llm\n - id: b\n type: llm\nedges:\n - from: a\n to: b\n - from: b\n to: a")
r = validate_yaml(data)
assert not r["ok"]
assert any("环" in e for e in r["errors"])
def test_yaml_to_json_roundtrip():
import yaml
data = yaml.safe_load(VALID_YAML)
orch = yaml_to_orchestration(data)
assert len(orch["nodes"]) == 3
assert len(orch["edges"]) == 3
# config flattening
node_a = next(n for n in orch["nodes"] if n["id"] == "a")
assert node_a.get("model_id") == "auto"
assert node_a.get("system_prompt") == "You are a helper."
def test_json_to_yaml_to_json():
"""Roundtrip: JSON → YAML obj → JSON should preserve key fields."""
orch_json = {
"nodes": [
{"id": "x", "type": "llm", "model_id": "auto"},
{"id": "y", "type": "reduce", "strategy": "concat"},
],
"edges": [{"from": "x", "to": "y"}],
}
yaml_obj = orchestration_to_yaml(orch_json)
assert yaml_obj["version"] == "1.0"
# config nesting
node_x = next(n for n in yaml_obj["nodes"] if n["id"] == "x")
assert node_x.get("config", {}).get("model") == "auto"
node_y = next(n for n in yaml_obj["nodes"] if n["id"] == "y")
assert node_y.get("config", {}).get("strategy") == "concat"
def test_validate_missing_agent_id():
import yaml
data = yaml.safe_load("version: '1.0'\nnodes:\n - id: x\n type: local\n - id: y\n type: llm\nedges:\n - from: x\n to: y")
r = validate_yaml(data)
assert not r["ok"]
assert any("agent_id" in e for e in r["errors"])