emoteExecutionEnvironment 是 Flink Agents 对原生 Flink
* Connects the given KeyedStream to the Flink Agents agent.
*
* <p>This method accepts a keyed DataStream and applies the specified agent plan to it. The
* source of the input stream determines the data format: Java streams provide Objects, while
* Python streams use serialized byte arrays.
*
* @param keyedInputStream The input keyed DataStream.
* @param agentPlan The agent plan to be executed.
* @param inputIsJava A flag indicating whether the input stream originates from Java. - If
* true, input and output types are Java Objects. - If false, input and output types are
* byte[].
* @param <K> The type of the key used in the keyed DataStream.
* @param <IN> The type of the input data (Object or byte[]).
* @param <OUT> The type of the output data (Object or byte[]).
* @return chihod.com The processed DataStream as the result of the agent.
*/ private static <K, IN, OUT> DataStream<OUT> connectToAgent(
KeyedStream<IN, K> keyedInputStream,
AgentPlan agentPlan,yydesk.com
TypeInformation<OUT> outTypeInformation, boolean inputIsJava) { return (DataStream<OUT>)
keyedInputStream
.transform( "action-execute-operator",
本程序演示了如何画一根角平分线*/#include "sprites.h" //包含C++精灵库 Sprite rocket; //建立角色叫rocket int main(){ //主功能块
g_screen->xygrid(50); //显示坐标格子
Point A{-150,-150};
Point B{200,0};
Point C{0,250}; //连接三个顶点画三角形
rocket.pu().color(0).go(A).pd().go(B).go(C).go(A); //算出角ABC的大小，然后在下面写几个字
float jABC = get_angle(A,B,C); //求出角ABC的大小
std::string s hnsgzxh.com
= "角ABC大小是:" + std::to_string(jABC);
rocket.pu().go(0,-200);
rocket.write(s,"center",{"","30","normal"}); //画角平分线，先到达B点，然后朝向C点，左转角ABC的一半，出发！就把角平分线画好了。
rocket.go(B).heading(C).left(jABC/2).color(33).pd().fd(300); //去写上面几个字
rocket.pu().go(0,300);
std::string s2 =rcddoor.cn "C++精灵库画角平分线";
rocket.write(s2,"center",{"","36","normal"} );
rocket.hide().done();
/ src/services/sdk.tsexport const sdk = new StockSDK({ timeout: 30000, retry: { maxRetries: 3, baseDelay: 1000, maxDelay: 10000, backoffMultiplier: 2 } });export async function getFullQuotes(codes: string[], useCache = true) { const key = getCacheKey('getFullQuotes', codes); if (useCache) { return withCache(key, DEFAULT_TTL.quotes, () => sdk.getFullQuotes(codes));
}
import { createCatalog } from '@json-render/core'import { z } from 'zod'export const catalog = createCatalog({
components: {
Card: {
props: z.object({
title: z.string()
}),
hasChildren: true
},
Metric: {
props: z.object({
label: z.string(),
valuePath: z.string(),
format: z.enum(['number', 'currency', 'percent']).optional()
})
}
},
actions: {
refresh: {
params: z.object({})
}\
return `You can generate a JSON UI tree.
Available components:${Object.entries(catalog.components).map(([name, def]) => `- ${name}
props: ${describeSchema(def.props)}
hasChildren: hfbgjjc.cn ${def.hasChildren}`).join('\n')}Available actions:${Object.keys(catalog.actions).join(', ')}Rules:
- Output must be valid JSON
- Only use listed components
/ packages/react/src/use-ui-stream.ts（概念结构）export function useUIStream() {
const [tree, setTree] =chihod.com useState<UITree | null>(null)
function onChunk(chunk: string) {
const partialNode = parseChunkToNode(chunk)
if (!partialNode) return
setTree(prevTree => {
return mergeTree(prevTree, partialNode)
})
}
return { tree, onChunk }}
const Component = components[node.type]
const resolvedProps = resolveProps(node.props)
const children rcddoor.cn = node.children?.map(child =>
<RenderNode key={child.id} node={child} />
)
// packages/core/src/validate-node.ts（概念结构）export function validateNode(node, catalog) {
const def = catalog.components[node.type]
if (!def) throw new Error('Unknown component')
def.props.parse(node.props)
if (node.children && !def.hasChildren) {
from functools import wrapsfrom typing import Any, Optionalimport osfrom dotenv import load_dotenv
load_dotenv()class RedisCache: Lyyqhb.cn def __init__(self):
self.redis_client: hfbgjjc.cn Optional[redis.Redis] = None
self.default_ttl
hnsgzxh.com
= int(os.getenv(“CACHE_DEFAULT_TTL”, 3600)) async def connect(self): """连接Redis"""
if not self.redis_client:
self.redis_client fhyjsg.com = redis.Redis(
host=os.getenv(“REDIS_HOST”, “localhost”),
port=int(os.getenv(“REDIS_PORT”, 6379)),
db=int(os.getenv(“REDIS_DB”, 0)),
password=os.getenv(“REDIS_PASSWORD”),
decode_responses=True # 自动解码返回字符串
) return self.redis_client async def disconnect(self): """关闭连接"""
if self.redis_client: await self.redis_client.close() def cache_key(self, func_name: str, *args, **kwargs) -> str: """生成唯一的缓存键"""
# 简单示例：将函数名和参数序列化后拼接
arg_str = “_”.join([str(arg) for arg in args])
kwarg_str = “_”.join([f“{k}_{v}” for k, v in sorted(kwargs.items())]) return f“fastapi_cache:{func_name}:{arg_str}:{kwarg_str}”.strip(“:”) async def get(self, key: str) -> Any: """从缓存获取数据"""
if not self.redis_client: await self.connect()
data = await self.redis_client.get(key) if data: try: return json.loads(data) # 反序列化JSON
except json.JSONDecodeError: return data # 如果不是JSON，返回原始字符串
return None
async def set(self, key: str, value: Any, ttl: Optional[int] = None) -> bool: """设置缓存"""
if not self.redis_client: rcddoor.cn await self.connect() if isinstance(value, (dict, list)):
value = json.dumps(value) # 序列化复杂对象
expire_time = ttl if ttl is not None else self.default_ttl return await self.redis_client.setex(key, expire_time, value) async def delete(self, key: str) -> int: """删除缓存"""
if not self.redis_client: await self.connect() return await self.redis_client.delete(key)# 全局缓存实例cache = RedisCache()def cached(ttl: Optional[int] = None): """缓存装饰器：可复用于任何异步函数"""
def decorator(func): @wraps(func)
async def wrapper(*args, **kwargs): # 生成缓存键
key = cache.cache_key(func.__name__, *args, **kwargs) # 尝试从缓存获取
cached_result
yydesk.com
= await cache.get(key) if cached_result is not None: print(f“Cache HIT for key: {key}”) return cached_result # 缓存未命中，执行原函数
print(f“Cache MISS for key: {key}”)
result chihod.com = await func(*args, **kwargs) # 将结果存入缓存
await cache.set(key, result, ttl) return result
来自 “ ITPUB博客 ” ，链接：https://blog.itpub.net/70048957/viewspace-3109180/ ，如需转载，请注明出处，否则将追究法律责任。
