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@ -2,7 +2,7 @@ import os
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import json
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import json
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import logging
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import logging
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from openai import OpenAI
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import openai
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from telegram import Update, Bot
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from telegram import Update, Bot
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from django.http import JsonResponse
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from django.http import JsonResponse
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from django.views.decorators.csrf import csrf_exempt
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from django.views.decorators.csrf import csrf_exempt
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@ -19,8 +19,9 @@ from .handlers import (
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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# Configura tu cliente de OpenAI
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# Configura tu API Key de OpenAI
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client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
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openai.api_key = os.getenv("OPENAI_API_KEY")
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# -------------------------------
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# -------------------------------
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# 🛠 Modular local handlers inside views.py
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# 🛠 Modular local handlers inside views.py
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@ -90,25 +91,28 @@ async def dispatch_private_commands(update, text):
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# -------------------------------
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# -------------------------------
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# 🛠 Voice transcription helper (Whisper via OpenAI client)
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# 🛠 Voice transcription helper
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# -------------------------------
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# -------------------------------
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async def transcribe_with_whisper(update, bot):
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async def transcribe_with_whisper(update, bot):
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# 1. Descarga el archivo de voz desde Telegram
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# 1. Descarga el archivo de voz desde Telegram
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tg_file = await bot.get_file(update.message.voice.file_id)
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tg_file = await sync_to_async(bot.get_file)(update.message.voice.file_id)
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download_path = f"/tmp/{update.message.voice.file_id}.ogg"
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download_path = f"/tmp/{update.message.voice.file_id}.ogg"
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await tg_file.download_to_drive(download_path)
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await sync_to_async(tg_file.download)(download_path)
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# 2. Envía el audio a la API de OpenAI para transcripción
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# 2. Envía el audio a la API Whisper de OpenAI
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with open(download_path, "rb") as audio_file:
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with open(download_path, "rb") as audio:
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transcript = client.audio.transcriptions.create(
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transcription = openai.audio.transcriptions.create(
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model="gpt-4o-transcribe", # o "whisper-1"
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model="gpt-4o-transcribe",
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file=audio_file,
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file=audio,
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response_format="text",
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response_format="text",
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language="es"
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language="es"
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)
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)
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return transcript.text if hasattr(transcript, 'text') else transcript
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return transcription.text.strip()
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# -------------------------------
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# 🌐 Main webhook
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# -------------------------------
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# -------------------------------
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@csrf_exempt
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@csrf_exempt
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@ -116,7 +120,7 @@ async def telegram_webhook(request, bot_name):
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try:
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try:
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logger.info(f"Webhook called for bot: {bot_name}")
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logger.info(f"Webhook called for bot: {bot_name}")
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# Carga la configuración del bot (sync ORM)
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# Carga la configuración del bot
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try:
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try:
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bot_instance = await sync_to_async(TelegramBot.objects.get)(
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bot_instance = await sync_to_async(TelegramBot.objects.get)(
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name=bot_name, is_active=True
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name=bot_name, is_active=True
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@ -155,7 +159,8 @@ async def telegram_webhook(request, bot_name):
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"No pude entender tu mensaje de voz. Intenta de nuevo."
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"No pude entender tu mensaje de voz. Intenta de nuevo."
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)
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)
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return JsonResponse({"status": "ok"})
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return JsonResponse({"status": "ok"})
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update.message.text = transcript
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# Monkey-patch para que report_trash lea el texto
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setattr(update.message, "_text", transcript)
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await report_trash(update)
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await report_trash(update)
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return JsonResponse({"status": "ok"})
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return JsonResponse({"status": "ok"})
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