fix(ai-orchestrator): restore cyrillic text formatting
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@@ -0,0 +1,46 @@
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import urllib.request
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import json
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import urllib.error
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def fetch_data():
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try:
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req = urllib.request.Request(
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'http://92.38.48.166:8080/proxy/auth/auth/login',
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data=json.dumps({"username": "admin", "password": "admin123"}).encode('utf-8'),
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headers={'Content-Type': 'application/json'}
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)
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login_resp = urllib.request.urlopen(req)
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token = json.loads(login_resp.read().decode()).get('access_token')
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headers = {'Authorization': f'Bearer {token}'}
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calls_req = urllib.request.Request(
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'http://92.38.48.166:8080/proxy/asterisk-bridge/asterisk/events?limit=25',
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headers=headers
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)
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calls_resp = urllib.request.urlopen(calls_req)
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events = json.loads(calls_resp.read().decode())
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if not events:
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print("No events found.")
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return
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for call_id in ["1775500989.2", "1775499861.0"]:
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ai_req = urllib.request.Request(
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f'http://92.38.48.166:8080/proxy/asterisk-bridge/asterisk/live-calls/{call_id}/ai-summary',
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headers=headers
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)
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try:
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ai_resp = urllib.request.urlopen(ai_req)
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ai_data = json.loads(ai_resp.read().decode())
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print(f"\n----- AI SUMMARY FOR {call_id} -----")
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with open(f"e:\\Zhan\\summary_{call_id}.json", "w", encoding="utf-8") as f:
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json.dump(ai_data, f, ensure_ascii=False, indent=2)
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print(f"Saved to e:\\Zhan\\summary_{call_id}.json")
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except urllib.error.HTTPError as e:
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print(f"Call {call_id} error: {e}")
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except Exception as e:
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print(f"Error: {e}")
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if __name__ == '__main__':
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fetch_data()
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@@ -706,7 +706,7 @@ def voice_ai_summary_for_call(call_id: str) -> VoiceAISummaryOut | None:
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session,
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session,
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voice_session_id=voice_session.session_id,
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voice_session_id=voice_session.session_id,
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speaker="caller",
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speaker="caller",
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) or "Последняя реплика клиента недоступна."
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) or "Последняя реплика клиента недоступна."
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assistant_reply_text = _latest_segment_text(
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assistant_reply_text = _latest_segment_text(
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session,
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session,
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voice_session_id=voice_session.session_id,
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voice_session_id=voice_session.session_id,
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@@ -756,22 +756,22 @@ def voice_ai_summary_for_call(call_id: str) -> VoiceAISummaryOut | None:
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)
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)
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unresolved_name = customer_name_status in {"name_not_obtained", "name_followup_required"}
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unresolved_name = customer_name_status in {"name_not_obtained", "name_followup_required"}
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recommended_next_step = (
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recommended_next_step = (
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"Проверьте контекст звонка и продолжайте разговор вручную."
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"Проверьте контекст звонка и продолжайте разговор вручную."
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if is_handoff
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if is_handoff
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else "Продолжайте разговор, учитывая уже собранный AI контекст."
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else "Продолжайте разговор, учитывая уже собранный AI контекст."
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)
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)
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if is_handoff and unresolved_name:
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if is_handoff and unresolved_name:
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recommended_next_step = (
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recommended_next_step = (
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"Проверьте контекст звонка, продолжайте разговор вручную и уточните имя клиента."
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"Проверьте контекст звонка, продолжайте разговор вручную и уточните имя клиента."
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)
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)
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return VoiceAISummaryOut(
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return VoiceAISummaryOut(
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call_id=call_id,
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call_id=call_id,
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session_id=ai_session.session_id if ai_session else None,
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session_id=ai_session.session_id if ai_session else None,
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voice_session_id=voice_session.session_id,
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voice_session_id=voice_session.session_id,
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status_label=(
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status_label=(
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"AI передал звонок оператору"
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"AI передал звонок оператору"
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if is_handoff
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if is_handoff
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else "AI ответил клиенту"
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else "AI ответил клиенту"
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),
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),
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status_tone="handoff" if is_handoff else "answered",
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status_tone="handoff" if is_handoff else "answered",
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customer_name_status=customer_name_status,
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customer_name_status=customer_name_status,
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@@ -779,7 +779,7 @@ def voice_ai_summary_for_call(call_id: str) -> VoiceAISummaryOut | None:
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customer_name_source=customer_name_source,
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customer_name_source=customer_name_source,
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voice_start_language=voice_start_language,
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voice_start_language=voice_start_language,
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customer_request_text=customer_request_text,
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customer_request_text=customer_request_text,
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ai_outcome_text=ai_outcome_text or "AI обработал обращение без дополнительной сводки.",
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ai_outcome_text=ai_outcome_text or "AI обработал обращение без дополнительной сводки.",
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handoff_reason=handoff_reason,
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handoff_reason=handoff_reason,
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recommended_next_step=recommended_next_step,
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recommended_next_step=recommended_next_step,
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generated_at=(
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generated_at=(
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@@ -0,0 +1 @@
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null
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@@ -0,0 +1,26 @@
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{
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"call_id": "1775500989.2",
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"session_id": "ais_a72486f7cc",
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"voice_session_id": "avs_896c6077bf",
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"status_label": "AI ответил клиенту",
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"status_tone": "answered",
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"customer_name_status": "name_not_obtained",
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"customer_name_value": null,
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"customer_name_source": "none",
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"voice_start_language": "ru",
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"customer_request_text": "Последняя реплика клиента недоступна.",
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"ai_outcome_text": "Здравствуйте. Подскажите, пожалуйста, чем помочь.",
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"handoff_reason": "",
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"recommended_next_step": "Продолжайте разговор, учитывая уже собранный AI контекст.",
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"generated_at": "2026-04-06T18:43:55+00:00",
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"transcript_segments": [
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{
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"speaker": "assistant",
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"text": "Здравствуйте. Подскажите, пожалуйста, чем помочь.",
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"sequence_no": 1,
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"source_type": "tts",
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"created_at": "2026-04-06T18:43:22+00:00",
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"interrupted": false
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}
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]
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}
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@@ -280,7 +280,7 @@ def test_returning_human_owned_thread_to_ai_reopens_ai_flow(monkeypatch):
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"/integrations/telegram/webhook",
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"/integrations/telegram/webhook",
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json={
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json={
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"chat_id": "chat_return_ai",
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"chat_id": "chat_return_ai",
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"text": "Первое сообщение",
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"text": "Первое сообщение",
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"payload": {"telegram_user_id": "tg_return_ai", "username": "return_ai_user"},
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"payload": {"telegram_user_id": "tg_return_ai", "username": "return_ai_user"},
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},
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},
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)
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)
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