feat: implement multi-word AND search in all views and initialize RuFlo V3

This commit is contained in:
Christian Vidal Wolf
2026-04-24 12:20:14 +02:00
parent b662acddd7
commit 97fe06eedd
11 changed files with 639 additions and 37 deletions
+289
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@@ -0,0 +1,289 @@
{
"hooks": {
"PreToolUse": [
{
"matcher": "Bash",
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" pre-bash'",
"timeout": 5000
}
]
},
{
"matcher": "Write|Edit|MultiEdit",
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" pre-edit'",
"timeout": 5000
}
]
}
],
"PostToolUse": [
{
"matcher": "Write|Edit|MultiEdit",
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" post-edit'",
"timeout": 10000
}
]
},
{
"matcher": "Bash",
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" post-bash'",
"timeout": 5000
}
]
}
],
"UserPromptSubmit": [
{
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" route'",
"timeout": 10000
}
]
}
],
"SessionStart": [
{
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" session-restore'",
"timeout": 15000
},
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/auto-memory-hook.mjs\" import'",
"timeout": 8000
}
]
}
],
"SessionEnd": [
{
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" session-end'",
"timeout": 10000
}
]
}
],
"Stop": [
{
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/auto-memory-hook.mjs\" sync'",
"timeout": 10000
}
]
}
],
"PreCompact": [
{
"matcher": "manual",
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" compact-manual'"
},
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" session-end'",
"timeout": 5000
}
]
},
{
"matcher": "auto",
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" compact-auto'"
},
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" session-end'",
"timeout": 6000
}
]
}
],
"SubagentStart": [
{
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" status'",
"timeout": 3000
}
]
}
],
"SubagentStop": [
{
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" post-task'",
"timeout": 5000
}
]
}
],
"Notification": [
{
"hooks": [
{
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/hook-handler.cjs\" notify'",
"timeout": 3000
}
]
}
]
},
"statusLine": {
"type": "command",
"command": "sh -c 'exec node \"${CLAUDE_PROJECT_DIR:-.}/.claude/helpers/statusline.cjs\"'"
},
"permissions": {
"allow": [
"Bash(npx @claude-flow*)",
"Bash(npx claude-flow*)",
"Bash(node .claude/*)",
"mcp__claude-flow__:*"
],
"deny": [
"Read(./.env)",
"Read(./.env.*)"
]
},
"attribution": {
"commit": "Co-Authored-By: claude-flow <ruv@ruv.net>",
"pr": "🤖 Generated with [claude-flow](https://github.com/ruvnet/claude-flow)"
},
"env": {
"CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1",
"CLAUDE_FLOW_V3_ENABLED": "true",
"CLAUDE_FLOW_HOOKS_ENABLED": "true"
},
"claudeFlow": {
"version": "3.0.0",
"enabled": true,
"platform": {
"os": "darwin",
"arch": "arm64",
"shell": "zsh"
},
"modelPreferences": {
"default": "claude-opus-4-6",
"routing": "claude-haiku-4-5-20251001"
},
"agentTeams": {
"enabled": true,
"teammateMode": "auto",
"taskListEnabled": true,
"mailboxEnabled": true,
"coordination": {
"autoAssignOnIdle": true,
"trainPatternsOnComplete": true,
"notifyLeadOnComplete": true,
"sharedMemoryNamespace": "agent-teams"
},
"hooks": {
"teammateIdle": {
"enabled": true,
"autoAssign": true,
"checkTaskList": true
},
"taskCompleted": {
"enabled": true,
"trainPatterns": true,
"notifyLead": true
}
}
},
"swarm": {
"topology": "hierarchical-mesh",
"maxAgents": 15
},
"memory": {
"backend": "hybrid",
"enableHNSW": true,
"learningBridge": {
"enabled": true
},
"memoryGraph": {
"enabled": true
},
"agentScopes": {
"enabled": true
}
},
"neural": {
"enabled": true
},
"daemon": {
"autoStart": false,
"workers": [
"map",
"audit",
"optimize"
],
"schedules": {
"audit": {
"interval": "4h",
"priority": "critical"
},
"optimize": {
"interval": "2h",
"priority": "high"
}
}
},
"learning": {
"enabled": true,
"autoTrain": true,
"patterns": [
"coordination",
"optimization",
"prediction"
],
"retention": {
"shortTerm": "24h",
"longTerm": "30d"
}
},
"adr": {
"autoGenerate": true,
"directory": "/docs/adr",
"template": "madr"
},
"ddd": {
"trackDomains": true,
"validateBoundedContexts": true,
"directory": "/docs/ddd"
},
"security": {
"autoScan": true,
"scanOnEdit": true,
"cveCheck": true,
"threatModel": true
}
}
}
+12
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@@ -8,3 +8,15 @@ coverage/
!.env.example !.env.example
.vercel .vercel
.env*.local .env*.local
# RuFlo / Claude-Flow
.claude-flow/
.claude/agents/
.claude/helpers/
.claude/commands/
.claude/skills/
.agents/
.swarm/
agentdb.rvf*
ruvector.db
claude-flow.config.json
+22
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@@ -0,0 +1,22 @@
{
"mcpServers": {
"claude-flow": {
"command": "npx",
"args": [
"-y",
"@claude-flow/cli@latest",
"mcp",
"start"
],
"env": {
"npm_config_update_notifier": "false",
"CLAUDE_FLOW_MODE": "v3",
"CLAUDE_FLOW_HOOKS_ENABLED": "true",
"CLAUDE_FLOW_TOPOLOGY": "hierarchical-mesh",
"CLAUDE_FLOW_MAX_AGENTS": "15",
"CLAUDE_FLOW_MEMORY_BACKEND": "hybrid"
},
"autoStart": false
}
}
}
+11
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@@ -1,5 +1,16 @@
# AGENTS.md - Developer Guidelines for Craze-Data-check # AGENTS.md - Developer Guidelines for Craze-Data-check
## Ruflo Standard Operating Procedure (SOP)
**MANDATORY: Follow these steps for every user instruction.**
1. **Retrieve (Semantic Memory)**: Before starting, run `ruflo memory search -q "<task description>"` to find relevant historical patterns or previous solutions.
2. **Verify (Security)**: Use `ruflo security defend -i "<user instruction>"` to ensure the instruction is safe and follows security protocols.
3. **Execute (Agent Swarm)**: For complex tasks (refactors, multi-file changes), consider spawning specialized agents with `ruflo agent spawn -t <type>`.
4. **Version Control**: Use `agentic-jujutsu` for managing concurrent changes or if a lock-free approach is needed.
5. **Record (Learning)**: After completion, record the outcome with `ruflo memory store --key "<task_id>" --value "<outcome_details>"` to improve future performance.
---
## Build, Lint, and Test Commands ## Build, Lint, and Test Commands
### Development ### Development
+244
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@@ -0,0 +1,244 @@
# Claude Code Configuration - RuFlo V3
## Behavioral Rules (Always Enforced)
- Do what has been asked; nothing more, nothing less
- NEVER create files unless they're absolutely necessary for achieving your goal
- ALWAYS prefer editing an existing file to creating a new one
- NEVER proactively create documentation files (*.md) or README files unless explicitly requested
- NEVER save working files, text/mds, or tests to the root folder
- Never continuously check status after spawning a swarm — wait for results
- ALWAYS read a file before editing it
- NEVER commit secrets, credentials, or .env files
## File Organization
- NEVER save to root folder — use the directories below
- Use `/src` for source code files
- Use `/tests` for test files
- Use `/docs` for documentation and markdown files
- Use `/config` for configuration files
- Use `/scripts` for utility scripts
- Use `/examples` for example code
## Project Architecture
- Follow Domain-Driven Design with bounded contexts
- Keep files under 500 lines
- Use typed interfaces for all public APIs
- Prefer TDD London School (mock-first) for new code
- Use event sourcing for state changes
- Ensure input validation at system boundaries
### Project Config
- **Topology**: hierarchical-mesh
- **Max Agents**: 15
- **Memory**: hybrid
- **HNSW**: Enabled
- **Neural**: Enabled
## Build & Test
```bash
# Build
npm run build
# Test
npm test
# Lint
npm run lint
```
- ALWAYS run tests after making code changes
- ALWAYS verify build succeeds before committing
## Security Rules
- NEVER hardcode API keys, secrets, or credentials in source files
- NEVER commit .env files or any file containing secrets
- Always validate user input at system boundaries
- Always sanitize file paths to prevent directory traversal
- Run `npx @claude-flow/cli@latest security scan` after security-related changes
## Concurrency: 1 MESSAGE = ALL RELATED OPERATIONS
- All operations MUST be concurrent/parallel in a single message
- Use Claude Code's Agent tool for spawning agents, not just MCP
- ALWAYS spawn ALL agents in ONE message with full instructions via Agent tool
- ALWAYS batch ALL file reads/writes/edits in ONE message
- ALWAYS batch ALL Bash commands in ONE message
## Swarm Orchestration
- MUST initialize the swarm using CLI tools when starting complex tasks
- MUST spawn concurrent agents using Claude Code's Agent tool
- Never use CLI tools alone for execution — Agent tool agents do the actual work
- MUST call CLI tools AND Agent tool in ONE message for complex work
### 3-Tier Model Routing (ADR-026)
| Tier | Handler | Latency | Cost | Use Cases |
|------|---------|---------|------|-----------|
| **1** | Agent Booster (WASM) | <1ms | $0 | Simple transforms (var→const, add types) — Skip LLM |
| **2** | Haiku | ~500ms | $0.0002 | Simple tasks, low complexity (<30%) |
| **3** | Sonnet/Opus | 2-5s | $0.003-0.015 | Complex reasoning, architecture, security (>30%) |
- For Tier 1 simple transforms, use Edit tool directly — no LLM agent needed
## Swarm Configuration & Anti-Drift
- ALWAYS use hierarchical topology for coding swarms
- Keep maxAgents at 6-8 for tight coordination
- Use specialized strategy for clear role boundaries
- Use `raft` consensus for hive-mind (leader maintains authoritative state)
- Run frequent checkpoints via `post-task` hooks
- Keep shared memory namespace for all agents
```bash
npx @claude-flow/cli@latest swarm init --topology hierarchical --max-agents 8 --strategy specialized
```
## Swarm Execution Rules
- ALWAYS use `run_in_background: true` for all Agent tool calls
- ALWAYS put ALL Agent calls in ONE message for parallel execution
- After spawning, STOP — do NOT add more tool calls or check status
- Never poll agent status repeatedly — trust agents to return
- When agent results arrive, review ALL results before proceeding
## V3 CLI Commands
### Core Commands
| Command | Subcommands | Description |
|---------|-------------|-------------|
| `init` | 4 | Project initialization |
| `agent` | 8 | Agent lifecycle management |
| `swarm` | 6 | Multi-agent swarm coordination |
| `memory` | 11 | AgentDB memory with HNSW search |
| `task` | 6 | Task creation and lifecycle |
| `session` | 7 | Session state management |
| `hooks` | 17 | Self-learning hooks + 12 workers |
| `hive-mind` | 6 | Byzantine fault-tolerant consensus |
### Quick CLI Examples
```bash
npx @claude-flow/cli@latest init --wizard
npx @claude-flow/cli@latest agent spawn -t coder --name my-coder
npx @claude-flow/cli@latest swarm init --v3-mode
npx @claude-flow/cli@latest memory search --query "authentication patterns"
npx @claude-flow/cli@latest doctor --fix
```
## Available Agents (16 Roles + Custom)
### Core Development
`coder`, `reviewer`, `tester`, `planner`, `researcher`
### Specialized
`security-architect`, `security-auditor`, `memory-specialist`, `performance-engineer`
### Coordination
`hierarchical-coordinator`, `mesh-coordinator`, `adaptive-coordinator`
### GitHub & Repository
`pr-manager`, `code-review-swarm`, `issue-tracker`, `release-manager`
Any string can be used as a custom agent type — these are the typed roles with specialized behavior.
## Memory & Vector Search
### MCP Tools (use via ToolSearch to discover)
| Tool | Description |
|------|-------------|
| `memory_store` | Store value with ONNX 384-dim vector embedding |
| `memory_search` | Semantic vector search by query |
| `memory_retrieve` | Get entry by key |
| `memory_list` | List entries in namespace |
| `memory_delete` | Delete entry |
| `memory_import_claude` | Import Claude Code memories into AgentDB (allProjects=true for all) |
| `memory_search_unified` | Search across ALL namespaces (Claude + AgentDB + patterns) |
| `memory_bridge_status` | Show bridge health, vectors, SONA, intelligence |
### CLI Commands
```bash
# Store with vector embedding
npx @claude-flow/cli@latest memory store --key "pattern-auth" --value "JWT with refresh" --namespace patterns
# Semantic search
npx @claude-flow/cli@latest memory search --query "authentication patterns"
# Import all Claude Code memories into AgentDB
node .claude/helpers/auto-memory-hook.mjs import-all
```
### Claude Code ↔ AgentDB Bridge
Claude Code auto-memory files (`~/.claude/projects/*/memory/*.md`) are automatically imported into AgentDB with ONNX vector embeddings on session start. Use `memory_search_unified` to search across both stores.
## Key MCP Tools (314 available — use ToolSearch to discover)
### Most Used Tools
| Category | Tools | What They Do |
|----------|-------|-------------|
| **Memory** | `memory_store`, `memory_search`, `memory_search_unified` | Store/search with ONNX vector embeddings |
| **Claude Bridge** | `memory_import_claude`, `memory_bridge_status` | Import Claude memories into AgentDB |
| **Swarm** | `swarm_init`, `swarm_status`, `swarm_health` | Multi-agent coordination |
| **Agents** | `agent_spawn`, `agent_list`, `agent_status` | Agent lifecycle |
| **Hive-Mind** | `hive-mind_init`, `hive-mind_spawn`, `hive-mind_consensus` | Byzantine/Raft consensus |
| **Hooks** | `hooks_route`, `hooks_session-start`, `hooks_post-task` | Task routing + learning |
| **Workers** | `hooks_worker-list`, `hooks_worker-dispatch` | 12 background workers |
| **Security** | `aidefence_scan`, `aidefence_is_safe` | Prompt injection detection |
| **Intelligence** | `hooks_intelligence`, `neural_status` | Pattern learning + SONA |
### Swarm Capabilities
- **Topologies**: hierarchical (anti-drift), mesh, ring, star, adaptive
- **Consensus**: Raft (leader-based), Byzantine (PBFT), Gossip (eventual)
- **Hive-Mind**: Queen-led coordination with spawn, broadcast, consensus voting, shared memory
- **12 Background Workers**: audit, optimize, testgaps, map, deepdive, document, refactor, benchmark, ultralearn, consolidate, predict, preload
### Memory Capabilities
- **ONNX Embeddings**: all-MiniLM-L6-v2, 384 dimensions — real neural vectors
- **DiskANN**: SSD-friendly vector search (8,000x faster insert than HNSW, perfect recall at 1K)
- **sql.js**: Cross-platform SQLite (WASM, no native compilation)
- **Claude Code Bridge**: Auto-imports MEMORY.md files into AgentDB on session start
- **Unified Search**: `memory_search_unified` searches Claude memories + AgentDB + patterns
- **SONA Learning**: Trajectory recording → pattern extraction → file persistence
### How to Discover Tools
Use ToolSearch to find specific tools:
```
ToolSearch("memory search") → memory_store, memory_search, memory_search_unified
ToolSearch("swarm") → swarm_init, swarm_status, swarm_health, swarm_shutdown
ToolSearch("hive consensus") → hive-mind_consensus, hive-mind_status
ToolSearch("+aidefence") → aidefence_scan, aidefence_is_safe, aidefence_has_pii
```
## Quick Setup
```bash
claude mcp add claude-flow -- npx -y @claude-flow/cli@latest
npx @claude-flow/cli@latest daemon start
npx @claude-flow/cli@latest doctor --fix
```
## Claude Code vs MCP Tools
- **Claude Code Agent tool** handles execution: agents, file ops, code generation, git
- **MCP tools** (via ToolSearch) handle coordination: swarm, memory, hooks, routing, hive-mind
- **CLI commands** (via Bash) are the same tools with terminal output
- Use `ToolSearch("keyword")` to discover available MCP tools
## Support
- Documentation: https://github.com/ruvnet/ruflo
- Issues: https://github.com/ruvnet/ruflo/issues
+9 -4
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@@ -148,10 +148,15 @@ export function DimensionsView({ data, headers, onEdit, onSaveRow, onCaptureStat
if (search || lineFilter.length > 0 || classFilter.length > 0) { if (search || lineFilter.length > 0 || classFilter.length > 0) {
const s = search.toLowerCase(); const s = search.toLowerCase();
result = result.filter(g => { result = result.filter(g => {
const matchesSearch = !search || g.rows.some(({ row }) => const matchesSearch = !search || (() => {
String(row[COLUMNS.ARTICLE_NO] || '').toLowerCase().includes(s) || const terms = search.toLowerCase().split(/\s+/).filter(Boolean);
String(row[COLUMNS.ARTICLE_NAME] || '').toLowerCase().includes(s) if (terms.length === 0) return true;
); return g.rows.some(({ row }) => {
const articleNo = String(row[COLUMNS.ARTICLE_NO] || '').toLowerCase();
const articleName = String(row[COLUMNS.ARTICLE_NAME] || '').toLowerCase();
return terms.every(term => articleNo.includes(term) || articleName.includes(term));
});
})();
const matchesLine = lineFilter.length === 0 || g.rows.some(({ row }) => lineFilter.includes(String(row[COLUMNS.LINE] || ''))); const matchesLine = lineFilter.length === 0 || g.rows.some(({ row }) => lineFilter.includes(String(row[COLUMNS.LINE] || '')));
const matchesClass = classFilter.length === 0 || g.rows.some(({ row }) => classFilter.includes(String(row[COLUMNS.CLASSIFICATION] || ''))); const matchesClass = classFilter.length === 0 || g.rows.some(({ row }) => classFilter.includes(String(row[COLUMNS.CLASSIFICATION] || '')));
+7 -5
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@@ -78,11 +78,13 @@ export function HistoryView({ headers, data, onRevert, onEdit }: HistoryViewProp
}).format(date); }).format(date);
}; };
const filteredHistory = history.filter(entry => const filteredHistory = history.filter(entry => {
entry.article_name?.toLowerCase().includes(search.toLowerCase()) || const terms = search.toLowerCase().split(/\s+/).filter(Boolean);
entry.product_id.toLowerCase().includes(search.toLowerCase()) || if (terms.length === 0) return true;
entry.changed_by?.toLowerCase().includes(search.toLowerCase())
); const searchableText = `${entry.article_name} ${entry.product_id} ${entry.changed_by}`.toLowerCase();
return terms.every(term => searchableText.includes(term));
});
if (loading) { if (loading) {
return ( return (
+9 -5
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@@ -203,12 +203,16 @@ export function MissingDataView({ data, headers, onSaveRow, onCaptureState }: Mi
} }
} }
// Global search (SKU + Name) - Multi-word AND support
if (search) { if (search) {
const s = search.toLowerCase(); const terms = search.toLowerCase().split(/\s+/).filter(Boolean);
result = result.filter(r => if (terms.length > 0) {
String(r.row[COLUMNS.ARTICLE_NO] || '').toLowerCase().includes(s) || result = result.filter(r => {
String(r.row[COLUMNS.ARTICLE_NAME] || '').toLowerCase().includes(s) const articleNo = String(r.row[COLUMNS.ARTICLE_NO] || '').toLowerCase();
); const articleName = String(r.row[COLUMNS.ARTICLE_NAME] || '').toLowerCase();
return terms.every(term => articleNo.includes(term) || articleName.includes(term));
});
}
} }
(Object.entries(columnFilters) as [string, string[]][]).forEach(([colIdx, filterValues]) => { (Object.entries(columnFilters) as [string, string[]][]).forEach(([colIdx, filterValues]) => {
+9 -6
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@@ -19,12 +19,15 @@ export function PendingValidationView({ data, pendingRows, rowStatuses, onRevert
const pendingEntries = Object.entries(pendingRows); const pendingEntries = Object.entries(pendingRows);
const filteredEntries = search const filteredEntries = (() => {
? pendingEntries.filter(([articleNo, { articleName }]) => const terms = search.toLowerCase().split(/\s+/).filter(Boolean);
articleNo.toLowerCase().includes(search.toLowerCase()) || if (terms.length === 0) return pendingEntries;
articleName.toLowerCase().includes(search.toLowerCase())
) return pendingEntries.filter(([articleNo, { articleName }]) => {
: pendingEntries; const searchableText = `${articleNo} ${articleName}`.toLowerCase();
return terms.every(term => searchableText.includes(term));
});
})();
const getFieldDiff = (original: ExcelRow, updated: ExcelRow, colIndex: number) => { const getFieldDiff = (original: ExcelRow, updated: ExcelRow, colIndex: number) => {
const orig = original[colIndex]; const orig = original[colIndex];
+19 -12
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@@ -114,12 +114,16 @@ export function PricingView({ data, headers, onSaveRow, onCaptureState, onEdit,
const searchSuggestions = useMemo(() => { const searchSuggestions = useMemo(() => {
if (!search && selectedSearchItems.size === 0) return data.slice(0, 50); if (!search && selectedSearchItems.size === 0) return data.slice(0, 50);
if (!search) return []; if (!search) return [];
const s = search.toLowerCase();
return data.filter(r => const terms = search.toLowerCase().split(/\s+/).filter(Boolean);
String(r[COLUMNS.ARTICLE_NO] || '').toLowerCase().includes(s) || if (terms.length === 0) return data.slice(0, 50);
String(r[COLUMNS.ARTICLE_NAME] || '').toLowerCase().includes(s)
).slice(0, 50); return data.filter(r => {
}, [data, search, selectedSearchItems]); const articleNo = String(r[COLUMNS.ARTICLE_NO] || '').toLowerCase();
const articleName = String(r[COLUMNS.ARTICLE_NAME] || '').toLowerCase();
return terms.every(term => articleNo.includes(term) || articleName.includes(term));
}).slice(0, 50);
}, [data, search, selectedSearchItems, COLUMNS]);
const handleSearchItemClick = (index: number) => { const handleSearchItemClick = (index: number) => {
const newSelected = new Set(selectedSearchItems); const newSelected = new Set(selectedSearchItems);
@@ -310,13 +314,16 @@ export function PricingView({ data, headers, onSaveRow, onCaptureState, onEdit,
case 'units_errors': result = analyzedRows.filter(r => r.unitErrors.length > 0); break; case 'units_errors': result = analyzedRows.filter(r => r.unitErrors.length > 0); break;
} }
// Global search (SKU + Name) // Global search (SKU + Name) - Multi-word AND support
if (search) { if (search) {
const s = search.toLowerCase(); const terms = search.toLowerCase().split(/\s+/).filter(Boolean);
result = result.filter(r => if (terms.length > 0) {
String(r.row[COLUMNS.ARTICLE_NO] || '').toLowerCase().includes(s) || result = result.filter(r => {
String(r.row[COLUMNS.ARTICLE_NAME] || '').toLowerCase().includes(s) const articleNo = String(r.row[COLUMNS.ARTICLE_NO] || '').toLowerCase();
); const articleName = String(r.row[COLUMNS.ARTICLE_NAME] || '').toLowerCase();
return terms.every(term => articleNo.includes(term) || articleName.includes(term));
});
}
} }
// Selected items from search dropdown // Selected items from search dropdown
+8 -5
View File
@@ -65,11 +65,14 @@ export function ProductDescriptions({ data, headers, asinColumnIndex, onEdit, ro
// Search filter // Search filter
if (search) { if (search) {
const s = search.toLowerCase(); const terms = search.toLowerCase().split(/\s+/).filter(Boolean);
result = result.filter(r => if (terms.length > 0) {
String(r.row[COLUMNS.ARTICLE_NO] || '').toLowerCase().includes(s) || result = result.filter(r => {
String(r.row[COLUMNS.ARTICLE_NAME] || '').toLowerCase().includes(s) const articleNo = String(r.row[COLUMNS.ARTICLE_NO] || '').toLowerCase();
); const articleName = String(r.row[COLUMNS.ARTICLE_NAME] || '').toLowerCase();
return terms.every(term => articleNo.includes(term) || articleName.includes(term));
});
}
} }
// Dropdown filters // Dropdown filters