Em dashes (—) and en dashes (–) had spread across comments, docs, tests, and a few UI strings, reading as AI-generated boilerplate rather than house style. Replaced each with punctuation matching its context: colon for explanatory clauses, comma for asides, plain hyphen for numeric/legal ranges (e.g. "21-23§"), "to"/"till" for date ranges, parentheses for paired-dash asides. messages/en.json and messages/sv.json were fixed by hand together to keep sv/en in sync. Left untouched where the dash is the functional subject rather than decorative punctuation: date-range-parser.ts's separator regex, charset-repair.ts's CP1252 byte-mapping table (and its test), the SIE encoding mojibake docs, generic-csv.ts's minus-sign normalizer, the agent system-prompt files that already instruct against em dashes, and a golden iXBRL test fixture compared byte-for-byte. Also fixes two bugs surfaced along the way: an off-by-one in ApiKeysPanel's scope-label split (a leftover from an earlier partial pass), and a charset-repair test that had lost the literal en-dash it exists to verify. Regenerated the agent atom seed migration (skills:generate) since 27 SKILL.md files changed. Added a CLAUDE.md rule against em/en dashes, with an explicit carve-out for the functional-dash cases above. Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
61 lines
2.5 KiB
TypeScript
61 lines
2.5 KiB
TypeScript
import { createClient } from '@/lib/supabase/server'
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import { NextResponse } from 'next/server'
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import { getActiveCompanyId } from '@/lib/company/context'
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// GET /api/agent/conversations
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//
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// Query params:
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// archived: 'true' | 'false' (default 'false')
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// pinned: 'true' filters to pinned only
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// intent: 'general.help' (or any intent id), filter
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// q: case-insensitive substring match on title/context_ref
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// limit: 1..200, default 50
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//
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// Returns: { data: [{ id, intent_id, context_ref, title, pinned, archived,
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// last_message_at, created_at }] }
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//
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// Ordered: pinned first (within archived bucket), then last_message_at desc.
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// Used by the /chat sidebar and "resume conversation" UI in the sheet.
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export async function GET(request: Request) {
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const supabase = await createClient()
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const { data: { user } } = await supabase.auth.getUser()
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if (!user) return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
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const companyId = await getActiveCompanyId(supabase, user.id)
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if (!companyId) return NextResponse.json({ error: 'No active company' }, { status: 400 })
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const url = new URL(request.url)
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const archived = url.searchParams.get('archived') === 'true'
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const pinnedOnly = url.searchParams.get('pinned') === 'true'
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const intent = url.searchParams.get('intent') ?? null
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const q = url.searchParams.get('q')?.trim() ?? ''
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const limit = Math.min(Math.max(Number(url.searchParams.get('limit')) || 50, 1), 200)
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let query = supabase
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.from('agent_conversations')
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.select(
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'id, intent_id, context_ref, title, pinned, archived, last_message_at, last_message_preview, created_at',
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)
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.eq('company_id', companyId)
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.eq('archived', archived)
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if (pinnedOnly) query = query.eq('pinned', true)
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if (intent) query = query.eq('intent_id', intent)
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if (q.length > 0) {
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// Pattern is sanitized via Postgres' percent-handling; ilike accepts the
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// % wildcard and we only inject the user's substring between them.
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const safe = q.replace(/[%_]/g, (m) => `\\${m}`)
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query = query.or(`title.ilike.%${safe}%,context_ref.ilike.%${safe}%`)
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}
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// Sort: pinned first, then most recent message.
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query = query
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.order('pinned', { ascending: false })
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.order('last_message_at', { ascending: false, nullsFirst: false })
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.limit(limit)
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const { data, error } = await query
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if (error) return NextResponse.json({ error: error.message }, { status: 500 })
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return NextResponse.json({ data: data ?? [] })
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}
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