diff --git a/app/api/ci-status/route.ts b/app/api/ci-status/route.ts index 9ca06b1..25dcedc 100644 --- a/app/api/ci-status/route.ts +++ b/app/api/ci-status/route.ts @@ -2,7 +2,7 @@ import { NextRequest, NextResponse } from 'next/server' const FORGEJO_URL = 'https://forgejo.riotpiao.com' const DEFAULT_REPO = 'rock/riotpiao.com' -const ALLOWED_REPOS = ['rock/riotpiao.com', 'rock/homelab', 'rock/homelab-frontend', 'rock/poimen', 'rock/poimen-memory', 'rock/poimen-workflows'] +const ALLOWED_REPOS = ['rock/riotpiao.com', 'rock/homelab', 'rock/homelab-frontend', 'rock/poimen', 'rock/poimen-memory', 'rock/poimen-workflows', 'rock/kmsvc-manage'] export async function GET(request: NextRequest) { const repo = request.nextUrl.searchParams.get('repo') || DEFAULT_REPO diff --git a/app/page.tsx b/app/page.tsx index a92507b..79db241 100644 --- a/app/page.tsx +++ b/app/page.tsx @@ -13,31 +13,30 @@ export default function Home() { const [bioModalOpen, setBioModalOpen] = useState(false) const { t } = useLanguage() + // Order: 0=Homelab, 1=Poimen Memory, 2=Poimen Workflow, 3=RBC, 4=AWS const projects = t.projects.items.map((item, index) => ({ ...item, - id: index === 0 - ? 'project-homelab' - : index === 1 - ? 'project-rbc' - : index === 2 - ? 'project-aws' - : index === 3 - ? 'project-poimen-memory' - : index === 4 - ? 'project-poimen-workflow' - : undefined, - status: index === 1 - ? 'completed' as const - : index >= 3 - ? 'building' as const + id: ['project-homelab', 'project-poimen-memory', 'project-poimen-workflow', 'project-rbc', 'project-aws'][index], + status: index === 3 + ? 'completed' as const + : index <= 2 + ? 'building' as const : 'live' as const, - media: index === 1 + media: index === 3 ? { type: 'image' as const, url: '/rbc-images.jpeg' } - : index === 2 + : index === 4 ? { type: 'video' as const, url: 'https://www.youtube.com/watch?v=wdJ5DN15jus' } : undefined, videoUrl: '#', - articleUrl: index === 2 ? 'https://lnkd.in/p/gm2PZkWw' : '#', + articleUrl: index === 4 ? 'https://lnkd.in/p/gm2PZkWw' : '#', + ciRepos: index === 0 ? [ + { label: 'portfolio', repo: 'rock/riotpiao.com', forgejoBase: 'https://forgejo.riotpiao.com/rock/riotpiao.com' }, + { label: 'kmsvc', repo: 'rock/kmsvc-manage', forgejoBase: 'https://forgejo.riotpiao.com/rock/kmsvc-manage' }, + ] : index === 1 ? [ + { label: 'poimen-mem', repo: 'rock/poimen-memory', forgejoBase: 'https://forgejo.riotpiao.com/rock/poimen-memory' }, + ] : index === 2 ? [ + { label: 'poimen-wf', repo: 'rock/poimen-workflows', forgejoBase: 'https://forgejo.riotpiao.com/rock/poimen-workflows' }, + ] : undefined, })) return ( diff --git a/components/ProjectShowcase.tsx b/components/ProjectShowcase.tsx index fbb2663..9b8d72e 100644 --- a/components/ProjectShowcase.tsx +++ b/components/ProjectShowcase.tsx @@ -1,9 +1,55 @@ 'use client' import { motion } from 'framer-motion' -import { ExternalLink, MessageSquare } from 'lucide-react' +import { ExternalLink, MessageSquare, CheckCircle, XCircle, Loader2, AlertCircle } from 'lucide-react' +import { useState, useEffect } from 'react' import { useTerminal } from '@/lib/TerminalContext' +function RepoCIBadge({ label, repo, forgejoBase }: { label: string; repo: string; forgejoBase: string }) { + const [ci, setCI] = useState<{ sha: string; status: string } | null>(null) + + useEffect(() => { + fetch(`/api/ci-status?repo=${repo}`) + .then(r => r.json()) + .then(data => setCI({ + sha: data.sha?.substring(0, 7) || '', + status: data.conclusion || data.status || 'unknown', + })) + .catch(() => null) + }, [repo]) + + const icon = !ci ? + : ci.status === 'success' ? + : ci.status === 'failure' ? + : + + return ( +
+ {label} + {ci?.sha ? ( + + {ci.sha} + + ) : ( + ··· + )} + | + {icon} +
+ ) +} + +interface CIRepo { + label: string + repo: string + forgejoBase: string +} + interface ProjectShowcaseProps { id?: string title: string @@ -26,6 +72,7 @@ interface ProjectShowcaseProps { label: string url: string } + ciRepos?: CIRepo[] } export function ProjectShowcase({ @@ -44,6 +91,7 @@ export function ProjectShowcase({ askPoimenText = 'Ask Poimen for technical details', bullets, deepDive, + ciRepos, }: ProjectShowcaseProps) { const { setIsOpen } = useTerminal() @@ -139,13 +187,21 @@ export function ProjectShowcase({ )} - - {status.charAt(0).toUpperCase() + status.slice(1)} - + {ciRepos ? ( +
+ {ciRepos.map((r) => ( + + ))} +
+ ) : ( + + {status.charAt(0).toUpperCase() + status.slice(1)} + + )} {/* Stat */} diff --git a/lib/translations.json b/lib/translations.json index a9fe1b8..a6cf9b9 100644 --- a/lib/translations.json +++ b/lib/translations.json @@ -41,27 +41,61 @@ "skills": { "infrastructure": { "title": "Infrastructure", - "items": ["Kubernetes", "Talos", "ArgoCD", "Terraform", "Docker", "OpenShift"] + "items": [ + "Kubernetes", + "Talos", + "ArgoCD", + "Terraform", + "Docker", + "OpenShift" + ] }, "cloud": { "title": "Cloud & Distributed", - "items": ["AWS", "DynamoDB", "CloudWatch", "gRPC", "Cloudflare"] + "items": [ + "AWS", + "DynamoDB", + "CloudWatch", + "gRPC", + "Cloudflare" + ] }, "languages": { "title": "Languages", - "items": ["Go", "Java", "Python", "C++", "TypeScript"] + "items": [ + "Go", + "Java", + "Python", + "C++", + "TypeScript" + ] }, "data": { "title": "Data & Messaging", - "items": ["Kafka", "PostgreSQL", "Temporal", "Redis"] + "items": [ + "Kafka", + "PostgreSQL", + "Temporal", + "Redis" + ] }, "aiml": { "title": "AI/ML", - "items": ["vLLM", "PyTorch", "Ollama", "KServe"] + "items": [ + "vLLM", + "PyTorch", + "Ollama", + "KServe" + ] }, "observability": { "title": "Observability", - "items": ["Prometheus", "Grafana", "Loki", "OpenTelemetry"] + "items": [ + "Prometheus", + "Grafana", + "Loki", + "OpenTelemetry" + ] } } }, @@ -128,6 +162,30 @@ "url": "/homelab" } }, + { + "title": "Poimen Memory System", + "description": "Distributed Graph-RAG infrastructure with hierarchical RBAC and wiki-link indexing.", + "longDescription": "Three-tier context retrieval pipeline with PageRank-style link scoring, hybrid search fusion (HNSW + BM25), and OIDC-based access control for multi-tenant knowledge graphs.", + "stat": "Graph-RAG, pgvector, OpenSearch, Rust + Actix-web", + "highlight": "Bidirectional wiki-link indexing with RRF fusion + hierarchical RBAC — 50ms signature match tier, graph-boosted hybrid search tier, Obsidian fallback.", + "bullets": [ + "Graph-RAG with Wiki-Link Indexing (Rust, pgvector, OpenSearch): Built bidirectional link graph from [[wiki-link]] syntax during ingestion. PageRank-style score propagation boosts linked documents' relevance. RRF fusion merges HNSW cosine (pgvector) + BM25 lexical (OpenSearch). WikiScopedFilter constrains traversal to project boundaries.", + "Three-Tier Context Retrieval (Actix-web, tokio): Async pipeline — Tier 1: MD5 signature match (<50ms), Tier 2: graph-boosted hybrid search with link-distance decay, Tier 3: Obsidian API fallback. Budget-aware assembly drops lower tiers first. Shingle-based Jaccard deduplication (>0.5) prevents redundant chunks.", + "Hierarchical RBAC (Authentik OIDC, JWT, Kubernetes): Role → AccessRule[] → AccessScope model with project/visibility/owner/group constraints. JWT roles claim maps to YAML rules; AccessGuard.filter_resources() applies post-retrieval filtering. Dual-write indexer (eventual consistency via queue) maintains RBAC-aware views. SOPS/age encryption, ArgoCD deployment." + ] + }, + { + "title": "Poimen: Agent Workflow Orchestration", + "description": "Temporal-powered orchestration that transforms natural language into durable, scalable workflow executions.", + "longDescription": "LLM router analyzes user intent, retrieves relevant knowledge from semantic memory, and generates executable workflow specs—enabling agent deployment at scale where any activity can be wired as a step in the reconciliation pipeline.", + "stat": "Temporal, LLM Routing, 9 Composable Activities", + "highlight": "Natural language → executable WorkflowSpec via reasoning model + memory-augmented context retrieval + durable state machine execution.", + "bullets": [ + "LLM-Powered Workflow Routing: Natural language → executable WorkflowSpec via reasoning model (api.riotpiao.com). Activity Knowledge Base (9 activities) informs the LLM about timeouts, retry policies, and dependencies—intelligent step ordering and error handling strategies.", + "Memory-Augmented Context Retrieval: RetrieveMemoryActivity queries poimen-memory (Rust semantic search service) for relevant skills and lessons before routing—injecting domain knowledge into prompts for context-aware workflow generation.", + "Generic State Machine Executor: RoutingWorkflow executes any JSON workflow spec with JSONPath parameter chaining (${Step1.output.path}), automatic retries for flaky activities, catch blocks for error recovery, and Temporal's durable execution guarantees—every registered activity a composable building block." + ] + }, { "title": "RBC: Multi-Cloud Platform", "description": "Unified infrastructure platform consolidating public cloud and on-prem.", @@ -158,30 +216,6 @@ "Solved distributed edge cases: race conditions, concurrent updates, dependent service failures, message deduplication", "Owned oncall for the service—built CloudWatch dashboards, wrote runbooks, debugged production live" ] - }, - { - "title": "Poimen Memory System", - "description": "Distributed Graph-RAG infrastructure with hierarchical RBAC and wiki-link indexing.", - "longDescription": "Three-tier context retrieval pipeline with PageRank-style link scoring, hybrid search fusion (HNSW + BM25), and OIDC-based access control for multi-tenant knowledge graphs.", - "stat": "Graph-RAG, pgvector, OpenSearch, Rust + Actix-web", - "highlight": "Bidirectional wiki-link indexing with RRF fusion + hierarchical RBAC — 50ms signature match tier, graph-boosted hybrid search tier, Obsidian fallback.", - "bullets": [ - "Graph-RAG with Wiki-Link Indexing (Rust, pgvector, OpenSearch): Built bidirectional link graph from [[wiki-link]] syntax during ingestion. PageRank-style score propagation boosts linked documents' relevance. RRF fusion merges HNSW cosine (pgvector) + BM25 lexical (OpenSearch). WikiScopedFilter constrains traversal to project boundaries.", - "Three-Tier Context Retrieval (Actix-web, tokio): Async pipeline — Tier 1: MD5 signature match (<50ms), Tier 2: graph-boosted hybrid search with link-distance decay, Tier 3: Obsidian API fallback. Budget-aware assembly drops lower tiers first. Shingle-based Jaccard deduplication (>0.5) prevents redundant chunks.", - "Hierarchical RBAC (Authentik OIDC, JWT, Kubernetes): Role → AccessRule[] → AccessScope model with project/visibility/owner/group constraints. JWT roles claim maps to YAML rules; AccessGuard.filter_resources() applies post-retrieval filtering. Dual-write indexer (eventual consistency via queue) maintains RBAC-aware views. SOPS/age encryption, ArgoCD deployment." - ] - }, - { - "title": "Poimen: Agent Workflow Orchestration", - "description": "Temporal-powered orchestration that transforms natural language into durable, scalable workflow executions.", - "longDescription": "LLM router analyzes user intent, retrieves relevant knowledge from semantic memory, and generates executable workflow specs—enabling agent deployment at scale where any activity can be wired as a step in the reconciliation pipeline.", - "stat": "Temporal, LLM Routing, 9 Composable Activities", - "highlight": "Natural language → executable WorkflowSpec via reasoning model + memory-augmented context retrieval + durable state machine execution.", - "bullets": [ - "LLM-Powered Workflow Routing: Natural language → executable WorkflowSpec via reasoning model (api.riotpiao.com). Activity Knowledge Base (9 activities) informs the LLM about timeouts, retry policies, and dependencies—intelligent step ordering and error handling strategies.", - "Memory-Augmented Context Retrieval: RetrieveMemoryActivity queries poimen-memory (Rust semantic search service) for relevant skills and lessons before routing—injecting domain knowledge into prompts for context-aware workflow generation.", - "Generic State Machine Executor: RoutingWorkflow executes any JSON workflow spec with JSONPath parameter chaining (${Step1.output.path}), automatic retries for flaky activities, catch blocks for error recovery, and Temporal's durable execution guarantees—every registered activity a composable building block." - ] } ] }, @@ -274,27 +308,61 @@ "skills": { "infrastructure": { "title": "基础设施", - "items": ["Kubernetes", "Talos", "ArgoCD", "Terraform", "Docker", "OpenShift"] + "items": [ + "Kubernetes", + "Talos", + "ArgoCD", + "Terraform", + "Docker", + "OpenShift" + ] }, "cloud": { "title": "云 & 分布式", - "items": ["AWS", "DynamoDB", "CloudWatch", "gRPC", "Cloudflare"] + "items": [ + "AWS", + "DynamoDB", + "CloudWatch", + "gRPC", + "Cloudflare" + ] }, "languages": { "title": "编程语言", - "items": ["Go", "Java", "Python", "C++", "TypeScript"] + "items": [ + "Go", + "Java", + "Python", + "C++", + "TypeScript" + ] }, "data": { "title": "数据 & 消息", - "items": ["Kafka", "PostgreSQL", "Temporal", "Redis"] + "items": [ + "Kafka", + "PostgreSQL", + "Temporal", + "Redis" + ] }, "aiml": { "title": "AI/ML", - "items": ["vLLM", "PyTorch", "Ollama", "KServe"] + "items": [ + "vLLM", + "PyTorch", + "Ollama", + "KServe" + ] }, "observability": { "title": "可观测性", - "items": ["Prometheus", "Grafana", "Loki", "OpenTelemetry"] + "items": [ + "Prometheus", + "Grafana", + "Loki", + "OpenTelemetry" + ] } } }, @@ -361,6 +429,30 @@ "url": "/homelab" } }, + { + "title": "Poimen记忆系统", + "description": "具有分层RBAC的分布式图RAG基础设施和维基链接索引。", + "longDescription": "三层上下文检索管道，支持PageRank风格的链接评分、混合搜索融合（HNSW + BM25）和基于OIDC的多租户知识图访问控制。", + "stat": "图-RAG, pgvector, OpenSearch, Rust + Actix-web", + "highlight": "双向维基链接索引配RRF融合 + 分层RBAC——50ms签名匹配层、图增强混合搜索层、Obsidian兜底。", + "bullets": [ + "图-RAG维基链接索引化（Rust、pgvector、OpenSearch）：从[[维基链接]]语法构建双向链接图。PageRank风格评分传播提升链接文档的相关性。RRF融合合并HNSW余弦相似度（pgvector）+ BM25词汇排名（OpenSearch）。WikiScopedFilter将遍历限制在项目边界内。", + "三层上下文检索（Actix-web, tokio）：异步管道——第1层：MD5签名匹配（<50ms），第2层：图增强混合搜索含链接距离衰减，第3层：Obsidian API兜底。预算感知的响应组装优先丢弃低优先层。基于瓦片的Jaccard去重（>0.5）防止冗余块。", + "分层RBAC（Authentik OIDC、JWT、Kubernetes）：角色→AccessRule[]→AccessScope模型，包含项目/可见性/所有者/组约束。JWT角色声明映射到YAML规则；AccessGuard.filter_resources()应用检索后过滤。双写索引器（通过队列保证最终一致性）维护RBAC感知视图。SOPS/age加密，ArgoCD部署。" + ] + }, + { + "title": "Poimen: 智能体工作流编排", + "description": "Temporal驱动的编排平台，将自然语言转化为持久、可扩展的工作流执行。", + "longDescription": "LLM路由器分析用户意图，从语义记忆中检索相关知识，生成可执行工作流规格——支持大规模智能体部署，任何活动可作为协调管道的步骤。", + "stat": "Temporal, LLM路由, 9个可组合活动", + "highlight": "自然语言 → 可执行WorkflowSpec：推理模型 + 记忆增强上下文检索 + 持久状态机执行。", + "bullets": [ + "LLM工作流路由：自然语言 → 可执行WorkflowSpec，通过推理模型。活动知识库（9个活动）告知LLM超时、重试策略和依赖关系——智能步骤排序和错误处理策略。", + "记忆增强上下文检索：RetrieveMemoryActivity查询poimen-memory（Rust语义搜索服务）获取相关技能和经验——将领域知识注入提示词，实现上下文感知的工作流生成。", + "通用状态机执行器：RoutingWorkflow执行任何JSON工作流规格，支持JSONPath参数链接、自动重试、catch错误恢复和Temporal持久执行保证——每个注册活动都是可组合的构建块。" + ] + }, { "title": "RBC: 多云平台", "description": "统一基础设施平台，整合公有云和本地部署。", @@ -391,30 +483,6 @@ "解决分布式边缘场景：竞态条件、并发更新、依赖服务故障、消息去重", "负责服务oncall——构建CloudWatch仪表盘，编写runbook，实时调试生产问题" ] - }, - { - "title": "Poimen记忆系统", - "description": "具有分层RBAC的分布式图RAG基础设施和维基链接索引。", - "longDescription": "三层上下文检索管道，支持PageRank风格的链接评分、混合搜索融合（HNSW + BM25）和基于OIDC的多租户知识图访问控制。", - "stat": "图-RAG, pgvector, OpenSearch, Rust + Actix-web", - "highlight": "双向维基链接索引配RRF融合 + 分层RBAC——50ms签名匹配层、图增强混合搜索层、Obsidian兜底。", - "bullets": [ - "图-RAG维基链接索引化（Rust、pgvector、OpenSearch）：从[[维基链接]]语法构建双向链接图。PageRank风格评分传播提升链接文档的相关性。RRF融合合并HNSW余弦相似度（pgvector）+ BM25词汇排名（OpenSearch）。WikiScopedFilter将遍历限制在项目边界内。", - "三层上下文检索（Actix-web, tokio）：异步管道——第1层：MD5签名匹配（<50ms），第2层：图增强混合搜索含链接距离衰减，第3层：Obsidian API兜底。预算感知的响应组装优先丢弃低优先层。基于瓦片的Jaccard去重（>0.5）防止冗余块。", - "分层RBAC（Authentik OIDC、JWT、Kubernetes）：角色→AccessRule[]→AccessScope模型，包含项目/可见性/所有者/组约束。JWT角色声明映射到YAML规则；AccessGuard.filter_resources()应用检索后过滤。双写索引器（通过队列保证最终一致性）维护RBAC感知视图。SOPS/age加密，ArgoCD部署。" - ] - }, - { - "title": "Poimen: 智能体工作流编排", - "description": "Temporal驱动的编排平台，将自然语言转化为持久、可扩展的工作流执行。", - "longDescription": "LLM路由器分析用户意图，从语义记忆中检索相关知识，生成可执行工作流规格——支持大规模智能体部署，任何活动可作为协调管道的步骤。", - "stat": "Temporal, LLM路由, 9个可组合活动", - "highlight": "自然语言 → 可执行WorkflowSpec：推理模型 + 记忆增强上下文检索 + 持久状态机执行。", - "bullets": [ - "LLM工作流路由：自然语言 → 可执行WorkflowSpec，通过推理模型。活动知识库（9个活动）告知LLM超时、重试策略和依赖关系——智能步骤排序和错误处理策略。", - "记忆增强上下文检索：RetrieveMemoryActivity查询poimen-memory（Rust语义搜索服务）获取相关技能和经验——将领域知识注入提示词，实现上下文感知的工作流生成。", - "通用状态机执行器：RoutingWorkflow执行任何JSON工作流规格，支持JSONPath参数链接、自动重试、catch错误恢复和Temporal持久执行保证——每个注册活动都是可组合的构建块。" - ] } ] },