Surface (requirement 001 phase 2): navigation Stream (Inbox, Regeln) / Agents / Artifacts with keys 1-3 and hash routes (#graph and #tree redirect), header with title, command palette and settings only, server-side badges (unsnoozed inbox, beats within 900 s, open jobs), a Mayday banner with "aufheben", four stream chips with agent:/art:/seit: search, Filter and time menus, the inbox in main, an agents toolbar (Funk an alle with Newsletter, Broadcast, Pan-Pan, Security, Mayday; Priorität; Tag/Nacht), Post or Call in the agent panel, Ambiente in the settings and read-aloud over the seven classes with Mayday locked. Rename (decision 9): hub/ is orchestrator/, the package kvb_orchestrator, the unit kvb-orchestrator-runner.service, scripts/orchestrator.sh, environment KVB_ORCHESTRATOR_*, make targets orchestrator-*, the MCP server, image and compose project kvb-orchestrator, the guard header X-Kvb-Orchestrator and the message marker [kvb-orchestrator msg <id>]. install runs migrate first: it stops the old container, removes its image and code, moves state, approvals and pinned keys, swaps the MCP registration, the PermissionRequest hook and the runner unit, and changes nothing on a second run (scratch-HOME test with stub docker, claude and systemctl). Saved views fall back to the old localStorage key once. MEDUSA acceptances carried to the renamed paths: 82 rows whose lines are unchanged (reason prefixed "renamed from <old path>, line unchanged"), and 7 rows whose text changed only in the product name, the package name, a temp prefix or a new class argument, each upheld by one kvb-think-criticize skeptic (approval.py:60, messaging.py:53, server.py:56, tests/hub_support.py:64, passkey.py:205, page-agent.js:75, language.py:46). Cost 101 %: the longer name adds 15 tokens of skill text; the operator approved it with the commit. 🎯 Fix: 92 % 💥 Break: 4 % 💸 Cost: 101 % ⏱️ Time: – 🛡️ Security: 100 % 💰 Value: ? 🏆 Score: 87 🚦 Gate: ⚠️ cost 101 % > 100: ask the operator before the commit Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
90 lines
4.1 KiB
Python
90 lines
4.1 KiB
Python
from __future__ import annotations
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import base64
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import io
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import json
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import struct
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import subprocess
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import unittest
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import wave
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from hub_support import VOICE
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from kvb_orchestrator import engines, settings
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VOICE_PROBE = """
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const V = require(process.argv[1]);
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const settings = JSON.parse(process.argv[2]);
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const rows = [
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{class: "mayday", to: [], source: "s1", speech: "m", voice: "v"},
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{class: "pan-pan", to: ["Operator"], source: "s1", speech: "p", voice: "v"},
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{class: "security", to: [], source: "s2", speech: "s", voice: "v"},
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{class: "direct", to: ["Operator"], source: "s2", speech: "d", voice: "v"},
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{class: "direct", to: ["Docs"], source: "s3", speech: "o", voice: "v"},
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{class: "broadcast", to: [], source: "s3", speech: "b", voice: "v"},
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{class: "broadcast", to: [], source: "s3", speech: "", voice: "v"},
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];
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const filters = [
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{on: false, classes: ["broadcast", "direct", "security", "pan-pan", "mayday"], muted: []},
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{on: true, classes: ["mayday"], muted: ["s1"]},
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{on: true, classes: ["direct", "mayday"], muted: ["s2"]},
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{on: true, classes: ["broadcast", "direct", "security", "pan-pan", "mayday"], muted: []},
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];
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let pending = [];
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for (const cls of ["broadcast", "direct", "security", "mayday", "broadcast", "pan-pan", "mayday", "direct"]) {
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pending = V.enqueue(pending, {cls, text: `${cls}-${pending.length}`}, 6);
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}
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console.log(JSON.stringify({
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tones: rows.map((row) => V.toneOf(row, "Operator")),
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spoken: filters.map((filter) => rows.map((row) => V.speakable(row, filter))),
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queue: pending.map((item) => item.cls),
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loud: settings.map((one) => Object.fromEntries(["mayday", "review", "direct", "radio"].map((tone) => [tone, V.loudness(tone, one)]))),
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frames: [V.frames(1.5, 16000, 120), V.frames(130, 16000, 120), V.frames(0, 16000, 120)],
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wav: Buffer.from(V.wav(Float32Array.from([0, 0.5, -0.5, 1, -1, 2, -2]), 16000)).toString("base64"),
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}));
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"""
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class TestVoiceModule(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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quiet = {name: {"on": False, "volume": 0.1} for name in settings.TONES}
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cls.settings = [
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settings.SETTINGS,
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{**settings.SETTINGS, "music": {"on": True, "volume": 1.0}, "sounds": quiet},
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{**settings.SETTINGS, "sounds": {**settings.SETTINGS["sounds"], "mayday": {"on": True, "volume": 0.0}, "radio": {"on": True, "volume": 0.8}}},
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]
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command = ["node", "-e", VOICE_PROBE, str(VOICE), json.dumps(cls.settings)]
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done = subprocess.run(command, capture_output=True, text=True, timeout=60, check=True)
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cls.data = json.loads(done.stdout)
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def test_urgency_picks_the_tone_and_mayday_is_never_quieter(self):
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self.assertEqual(self.data["tones"], ["mayday", "mayday", "direct", "direct", "radio", "radio", "radio"])
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self.assertEqual(len(self.data["loud"]), len(self.settings))
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for loud in self.data["loud"]:
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with self.subTest(loud=loud):
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self.assertEqual(loud["mayday"], max(loud.values()))
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self.assertEqual([loud["mayday"] for loud in self.data["loud"]], [0.9, 1.0, 0.8])
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def test_the_radio_filter_picks_classes_and_stations(self):
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self.assertEqual(self.data["spoken"], [
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[False] * 7,
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[True, False, False, False, False, False, False],
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[True, False, False, False, True, False, False],
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[True, True, True, True, True, True, False],
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])
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def test_the_queue_puts_alarms_first_and_drops_routine_traffic(self):
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self.assertEqual(self.data["queue"], ["mayday", "mayday", "pan-pan", "security", "broadcast", "direct"])
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def test_the_recording_is_encoded_as_16_khz_mono_pcm(self):
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body = base64.b64decode(self.data["wav"])
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self.assertEqual(engines.wav_seconds(body), 7 / engines.STT_RATE)
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with wave.open(io.BytesIO(body)) as reader:
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self.assertEqual((reader.getnchannels(), reader.getsampwidth(), reader.getframerate(), reader.getnframes()), (1, 2, 16000, 7))
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self.assertEqual(struct.unpack("<7h", reader.readframes(7)), (0, 16383, -16384, 32767, -32768, 32767, -32768))
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self.assertEqual(self.data["frames"], [24000, 16000 * 120, 0])
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if __name__ == "__main__":
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unittest.main()
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