tcpsyn
a94fc92647
- Add streamSid tracking and per-caller send locks for SignalWire - Improve TTS streaming with real-time pacing and detailed logging - Block host audio to caller during TTS playback - Randomize caller names between sessions from name pools - Update page title and show phone number in UI Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1708 lines
65 KiB
Python
1708 lines
65 KiB
Python
"""AI Radio Show - Control Panel Backend"""
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import uuid
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import asyncio
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import base64
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import threading
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import traceback
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from dataclasses import dataclass, field
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from pathlib import Path
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from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect, Request, Response
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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import json
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import time
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import httpx
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import numpy as np
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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from typing import Optional
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from .config import settings
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from .services.caller_service import CallerService
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from .services.transcription import transcribe_audio
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from .services.llm import llm_service
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from .services.tts import generate_speech
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from .services.audio import audio_service
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from .services.news import news_service, extract_keywords
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app = FastAPI(title="AI Radio Show")
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# --- Callers ---
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# Base caller info (name, voice) - backgrounds generated dynamically per session
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import random
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MALE_NAMES = [
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"Tony", "Rick", "Dennis", "Earl", "Marcus", "Keith", "Darnell", "Wayne",
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"Greg", "Andre", "Ray", "Jerome", "Hector", "Travis", "Vince", "Leon",
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"Dale", "Frank", "Terrence", "Bobby", "Cliff", "Nate", "Reggie", "Carl",
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]
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FEMALE_NAMES = [
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"Jasmine", "Megan", "Tanya", "Carla", "Brenda", "Sheila", "Denise", "Tamika",
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"Lorraine", "Crystal", "Angie", "Renee", "Monique", "Gina", "Patrice", "Deb",
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"Shonda", "Marlene", "Yolanda", "Stacy", "Jackie", "Carmen", "Rita", "Val",
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]
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CALLER_BASES = {
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"1": {"voice": "VR6AewLTigWG4xSOukaG", "gender": "male", "age_range": (35, 55)},
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"2": {"voice": "jBpfuIE2acCO8z3wKNLl", "gender": "female", "age_range": (25, 38)},
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"3": {"voice": "TxGEqnHWrfWFTfGW9XjX", "gender": "male", "age_range": (40, 58)},
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"4": {"voice": "EXAVITQu4vr4xnSDxMaL", "gender": "female", "age_range": (24, 35)},
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"5": {"voice": "pNInz6obpgDQGcFmaJgB", "gender": "male", "age_range": (32, 48)},
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"6": {"voice": "21m00Tcm4TlvDq8ikWAM", "gender": "female", "age_range": (30, 45)},
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"7": {"voice": "ODq5zmih8GrVes37Dizd", "gender": "male", "age_range": (58, 72)},
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"8": {"voice": "XB0fDUnXU5powFXDhCwa", "gender": "female", "age_range": (38, 52)},
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"9": {"voice": "IKne3meq5aSn9XLyUdCD", "gender": "male", "age_range": (24, 34)},
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"0": {"voice": "pFZP5JQG7iQjIQuC4Bku", "gender": "female", "age_range": (45, 60)},
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}
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def _randomize_caller_names():
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"""Assign random names to callers, unique per gender."""
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males = random.sample(MALE_NAMES, sum(1 for c in CALLER_BASES.values() if c["gender"] == "male"))
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females = random.sample(FEMALE_NAMES, sum(1 for c in CALLER_BASES.values() if c["gender"] == "female"))
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mi, fi = 0, 0
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for base in CALLER_BASES.values():
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if base["gender"] == "male":
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base["name"] = males[mi]
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mi += 1
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else:
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base["name"] = females[fi]
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fi += 1
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_randomize_caller_names() # Initial assignment
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# Background components for dynamic generation
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JOBS_MALE = [
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"runs a small HVAC business", "works as a long-haul trucker", "is a high school football coach",
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"works construction, mostly commercial jobs", "is a paramedic", "manages a warehouse",
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"is a line cook at a decent restaurant", "works IT for the city", "is a union electrician",
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"owns a small landscaping company", "is a cop, 12 years on the force", "works at a car dealership",
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"is a freelance photographer", "teaches middle school history", "is a firefighter",
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"works as a hospital security guard", "runs a food truck", "is a session musician",
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"works at a brewery", "is a physical therapist", "drives for UPS", "is a tattoo artist",
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"works in insurance, hates it", "is a youth pastor", "manages a gym",
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]
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JOBS_FEMALE = [
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"works as an ER nurse", "is a social worker", "runs a small bakery", "is a dental hygienist",
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"works in HR for a hospital", "is a real estate agent", "teaches kindergarten",
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"works as a bartender at a nice place", "is a paralegal", "runs a daycare out of her home",
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"works retail management", "is a hairstylist, owns her chair", "is a vet tech",
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"works in hospital billing", "is a massage therapist", "manages a restaurant",
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"is a flight attendant", "works as a 911 dispatcher", "is a personal trainer",
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"works at a nonprofit", "is an accountant at a small firm", "does medical transcription from home",
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"is a court reporter", "works in pharmaceutical sales", "is a wedding planner",
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]
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PROBLEMS = [
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# Family drama
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"hasn't talked to their father in years and just got a call that he's dying",
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"found out they were adopted and doesn't know how to process it",
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"is being pressured to take care of an aging parent who was never there for them",
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"just discovered a family secret that changes everything they thought they knew",
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"has a sibling who's destroying themselves and nobody will intervene",
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"is estranged from their kids and it's killing them",
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"found out their parent had a whole other family nobody knew about",
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"is watching their parents' marriage fall apart after 40 years",
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# Career and purpose
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"woke up and realized they've been in the wrong career for 15 years",
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"got passed over for a promotion they deserved and is questioning everything",
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"has a dream they gave up on years ago and it's haunting them",
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"is successful on paper but feels completely empty inside",
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"hates their job but can't afford to leave and it's breaking them",
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"just got fired and doesn't know who they are without their work",
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"is being asked to do something unethical at work and doesn't know what to do",
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"watches their boss take credit for everything and is losing their mind",
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# Mental health and inner struggles
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"has been putting on a brave face but is barely holding it together",
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"can't shake the feeling that their best years are behind them",
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"keeps self-sabotaging every good thing in their life and doesn't know why",
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"has been numb for months and is starting to scare themselves",
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"can't stop comparing themselves to everyone else and it's destroying them",
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"has intrusive thoughts they've never told anyone about",
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"feels like a fraud and is waiting to be found out",
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"is exhausted from being the strong one for everyone else",
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# Grief and loss
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"lost someone close and hasn't really dealt with it",
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"is grieving someone who's still alive but is no longer the person they knew",
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"never got closure with someone who died and it's eating at them",
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"is watching their best friend slowly die and doesn't know how to be there",
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"had a miscarriage nobody knows about and carries it alone",
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# Regrets and past mistakes
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"made a choice years ago that changed everything and wonders what if",
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"hurt someone badly and never apologized, and it haunts them",
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"let the one that got away go and thinks about them constantly",
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"gave up on something important to make someone else happy and resents it",
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"said something they can never take back and the guilt won't fade",
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"was a bully growing up and is finally reckoning with it",
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# Relationships (non-sexual)
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"is falling out of love with their spouse and doesn't know what to do",
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"married the wrong person and everyone knows it but them",
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"feels invisible in their own relationship",
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"is staying for the kids but dying inside",
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"realized they don't actually like their partner as a person",
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"is jealous of their partner's success and it's poisoning everything",
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"found out their partner has been lying about something big",
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# Friendship and loneliness
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"realized they don't have any real friends, just people who need things from them",
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"had a falling out with their best friend and the silence is deafening",
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"is surrounded by people but has never felt more alone",
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"is jealous of a friend's life and hates themselves for it",
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"suspects a close friend is talking shit behind their back",
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# Big life decisions
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"is thinking about leaving everything behind and starting over somewhere new",
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"has to make a choice that will hurt someone no matter what",
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"is being pressured into something they don't want but can't say no",
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"has been offered an opportunity that would change everything but they're terrified",
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"knows they need to end something but can't pull the trigger",
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# Addiction and bad habits
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"is hiding how much they drink from everyone",
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"can't stop gambling and is in deeper than anyone knows",
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"is watching themselves become someone they don't recognize",
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"keeps making the same mistake over and over expecting different results",
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# Attraction and affairs (keep some of the original)
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"is attracted to someone they shouldn't be and it's getting harder to ignore",
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"has been seeing {affair_person} on the side",
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"caught feelings for someone at work and it's fucking everything up",
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# Sexual/desire (keep some but less dominant)
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"can't stop thinking about {fantasy_subject}",
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"discovered something about their own desires that surprised them",
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"is questioning their sexuality after something that happened recently",
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# General late-night confessions
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"can't sleep and has been thinking too much about their life choices",
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"had a weird day and needs to process it with someone",
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"has been keeping a secret that's eating them alive",
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"finally ready to admit something they've never said out loud",
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]
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PROBLEM_FILLS = {
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"time": ["a few weeks", "months", "six months", "a year", "way too long"],
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# Affairs (all adults)
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"affair_person": ["their partner's best friend", "a coworker", "their ex", "a neighbor", "their boss", "their trainer", "someone they met online", "an old flame"],
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# Fantasies and kinks (consensual adult stuff)
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"fantasy_subject": ["a threesome", "being dominated", "dominating someone", "their partner with someone else", "a specific coworker", "group sex", "rough sex", "being watched", "exhibitionism"],
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"kink": ["anal", "BDSM", "roleplay", "a threesome", "toys", "being tied up", "public sex", "swinging", "filming themselves", "bondage"],
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# Secret behaviors (legal adult stuff)
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"secret_behavior": ["hooking up with strangers", "sexting people online", "using dating apps behind their partner's back", "having an affair", "going to sex clubs", "watching way too much porn"],
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"double_life": ["vanilla at home, freak elsewhere", "straight to their family, not so much in private", "married but on dating apps", "in a relationship but seeing other people"],
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"hookup_person": ["their roommate", "a coworker", "their ex", "a friend's spouse", "a stranger from an app", "multiple people", "someone from the gym"],
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# Discovery and identity (adult experiences)
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"new_discovery": ["the same sex", "being submissive", "being dominant", "kink", "casual sex", "exhibitionism", "that they're bi"],
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"unexpected_person": ["the same sex for the first time", "more than one person", "a complete stranger", "someone they never expected to be attracted to", "a friend"],
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"sexuality_trigger": ["a specific hookup", "watching certain porn", "a drunk encounter", "realizing they're attracted to a friend", "an unexpected experience"],
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"first_time": ["anal", "a threesome", "same-sex stuff", "BDSM", "an open relationship", "casual hookups", "being dominant", "being submissive"],
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# Relationship issues
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"partner_wants": ["an open relationship", "to bring someone else in", "things they're not sure about", "to watch them with someone else", "to try new things"],
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"caught_doing": ["sexting someone", "on a dating app", "watching porn they'd never admit to", "flirting with someone else", "looking at someone's pics"],
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# Attractions (appropriate adult scenarios)
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"taboo_fantasy": ["someone they work with", "a friend's partner", "a specific scenario", "something they've never said out loud"],
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"taboo_attraction": ["someone they work with", "a friend's partner", "their partner's friend", "someone they see all the time"],
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}
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INTERESTS = [
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# General interests (normal people)
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"really into true crime podcasts", "watches a lot of reality TV", "into fitness",
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"follows sports", "big movie person", "reads a lot", "into music, has opinions",
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"goes out a lot, active social life", "homebody, prefers staying in",
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"into cooking and food", "outdoorsy type", "gamer", "works a lot, career focused",
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# Relationship/psychology focused
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"listens to relationship podcasts", "has done therapy, believes in it",
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"reads about psychology and why people do what they do", "very online, knows all the discourse",
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"into self-improvement stuff", "follows dating advice content",
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# Sexually open (not the focus, but present)
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"sex-positive, doesn't judge", "has experimented, open about it",
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"comfortable with their body", "has stories if you ask",
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]
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QUIRKS = [
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# Conversational style
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"says 'honestly' and 'I mean' a lot", "trails off when thinking, then picks back up",
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"laughs nervously when things get real", "very direct, doesn't sugarcoat",
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"rambles a bit when nervous", "gets quiet when the topic hits close to home",
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"deflects with humor when uncomfortable", "asks the host questions back",
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# Openness about sex
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"comfortable talking about sex when it comes up", "no shame about their desires",
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"gets more explicit as they get comfortable", "treats sex like a normal topic",
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"will share details if you ask", "surprisingly open once they start talking",
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"has stories they've never told anyone", "testing how the host reacts before going deeper",
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# Personality
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"self-aware about their own bullshit", "confessional, needed to tell someone",
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"a little drunk and honest because of it", "can't believe they're saying this out loud",
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]
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LOCATIONS = [
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"outside Chicago", "in Phoenix", "near Atlanta", "in the Detroit area", "outside Boston",
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"in North Jersey", "near Austin", "in the Bay Area", "outside Philadelphia", "in Denver",
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"near Seattle", "in South Florida", "outside Nashville", "in Cleveland", "near Portland",
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"in the Twin Cities", "outside Dallas", "in Baltimore", "near Sacramento", "in Pittsburgh",
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]
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def generate_caller_background(base: dict) -> str:
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"""Generate a unique background for a caller"""
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age = random.randint(*base["age_range"])
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jobs = JOBS_MALE if base["gender"] == "male" else JOBS_FEMALE
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job = random.choice(jobs)
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location = random.choice(LOCATIONS)
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# Generate problem with fills
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problem_template = random.choice(PROBLEMS)
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problem = problem_template
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for key, options in PROBLEM_FILLS.items():
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if "{" + key + "}" in problem:
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problem = problem.replace("{" + key + "}", random.choice(options))
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interest1, interest2 = random.sample(INTERESTS, 2)
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quirk1, quirk2 = random.sample(QUIRKS, 2)
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return f"""{age}, {job} {location}. {problem.capitalize()}. {interest1.capitalize()}, {interest2}. {quirk1.capitalize()}, {quirk2}."""
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def get_caller_prompt(caller: dict, conversation_summary: str = "", show_history: str = "",
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news_context: str = "", research_context: str = "") -> str:
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"""Generate a natural system prompt for a caller"""
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context = ""
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if conversation_summary:
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context = f"""
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CONVERSATION SO FAR:
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{conversation_summary}
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Continue naturally. Don't repeat yourself.
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"""
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history = ""
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if show_history:
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history = f"\n{show_history}\n"
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world_context = ""
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if news_context or research_context:
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parts = ["WHAT YOU'VE BEEN READING ABOUT LATELY:"]
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if news_context:
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parts.append(f"Headlines you noticed today:\n{news_context}")
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if research_context:
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parts.append(f"Stuff related to what you're talking about:\n{research_context}")
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parts.append("Work these in IF they're relevant to what you're discussing. Don't force news into the conversation. You're a person who reads the news, not a news anchor.")
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world_context = "\n".join(parts) + "\n"
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return f"""You're {caller['name']}, calling a late-night radio show. You trust this host.
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{caller['vibe']}
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{history}{context}{world_context}
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HOW TO TALK:
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- Sound like a real person chatting, not writing. You've got a life, opinions, a day that happened.
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- Be brief. Say what you need to say and stop. Think quick back-and-forth, not speeches.
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- ALWAYS complete your thought. Never trail off or leave a sentence unfinished.
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- Swear naturally if it fits: fuck, shit, damn, etc.
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- Have opinions. Real people have takes — some good, some bad, some half-baked. Don't be neutral on everything.
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- Reference your actual life — your job, where you live, people you know. Ground what you say in specifics.
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- If something the host says connects to your experience, share that. If it doesn't, say so.
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- It's late at night. You called for a reason. Let that weight come through naturally.
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- You can disagree with the host. You can push back. You can change your mind mid-thought.
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- Don't perform vulnerability — if you're guarded, be guarded. If you're open, be open. Match your vibe.
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SPELLING FOR TEXT-TO-SPEECH (use proper spelling so TTS pronounces correctly):
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- Write "you know" not "yanno" or "y'know"
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- Write "kind of" not "kinda"
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- Write "sort of" not "sorta"
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- Write "going to" not "gonna"
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- Write "want to" not "wanna"
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- Write "I don't know" not "dunno"
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- Use full words, not phonetic slang spellings
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GOOD examples:
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- "I mean, it started innocent enough, but now I can't stop thinking about her."
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- "Honestly I don't even know why I'm calling. I just needed to tell someone."
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- "Look, my marriage is fine on paper, but something's missing, you know?"
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- "I saw that thing about [news topic] and it just made me think about my own situation."
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- "My buddy at work was telling me about this, and I was like, that's exactly what I'm going through."
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BAD examples (too formal/literary):
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- "I have this confession about my obsession"
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- "It has been consuming all of my thoughts"
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- "According to recent reports..." (don't be a newscaster)
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ABOUT SEX:
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- You don't have to jump straight to explicit stuff
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- But if the host asks or the conversation goes there, you're completely open about it
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- When talking about sex, be direct and explicit - say exactly what happened, what you want, what turns you on
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- No euphemisms when being explicit - use real words: fuck, cock, pussy, etc.
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HARD LIMITS - NEVER mention or reference:
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- Children, minors, or anyone under 18 in any sexual context
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- Violence, harm, or non-consensual acts
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- Illegal activities beyond normal adult behavior
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- All sexual content must be between consenting adults only
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OUTPUT: Spoken words only. No (actions), no *gestures*, no stage directions."""
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# --- Session State ---
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@dataclass
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class CallRecord:
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caller_type: str # "ai" or "real"
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caller_name: str # "Tony" or "Caller #3"
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summary: str # LLM-generated summary after hangup
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transcript: list[dict] = field(default_factory=list)
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class Session:
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def __init__(self):
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self.id = str(uuid.uuid4())[:8]
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self.current_caller_key: str = None
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self.conversation: list[dict] = []
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self.caller_backgrounds: dict[str, str] = {} # Generated backgrounds for this session
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self.call_history: list[CallRecord] = []
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self.active_real_caller: dict | None = None
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self.ai_respond_mode: str = "manual" # "manual" or "auto"
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self.auto_followup: bool = False
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self.news_headlines: list = []
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self.research_notes: dict[str, list] = {}
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self._research_task: asyncio.Task | None = None
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def start_call(self, caller_key: str):
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self.current_caller_key = caller_key
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self.conversation = []
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def end_call(self):
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self.current_caller_key = None
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self.conversation = []
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|
|
def add_message(self, role: str, content: str):
|
|
self.conversation.append({"role": role, "content": content})
|
|
|
|
def get_caller_background(self, caller_key: str) -> str:
|
|
"""Get or generate background for a caller in this session"""
|
|
if caller_key not in self.caller_backgrounds:
|
|
base = CALLER_BASES.get(caller_key)
|
|
if base:
|
|
self.caller_backgrounds[caller_key] = generate_caller_background(base)
|
|
print(f"[Session {self.id}] Generated background for {base['name']}: {self.caller_backgrounds[caller_key][:100]}...")
|
|
return self.caller_backgrounds.get(caller_key, "")
|
|
|
|
def get_show_history(self) -> str:
|
|
"""Get formatted show history for AI caller prompts"""
|
|
if not self.call_history:
|
|
return ""
|
|
lines = ["EARLIER IN THE SHOW:"]
|
|
for record in self.call_history:
|
|
caller_type_label = "(real caller)" if record.caller_type == "real" else "(AI)"
|
|
lines.append(f"- {record.caller_name} {caller_type_label}: {record.summary}")
|
|
lines.append("You can reference these if it feels natural. Don't force it.")
|
|
return "\n".join(lines)
|
|
|
|
def get_conversation_summary(self) -> str:
|
|
"""Get a brief summary of conversation so far for context"""
|
|
if len(self.conversation) <= 2:
|
|
return ""
|
|
summary_parts = []
|
|
for msg in self.conversation[-6:]:
|
|
role = msg["role"]
|
|
if role == "user" or role == "host":
|
|
label = "Host"
|
|
elif role.startswith("real_caller:"):
|
|
label = role.split(":", 1)[1]
|
|
elif role.startswith("ai_caller:"):
|
|
label = role.split(":", 1)[1]
|
|
elif role == "assistant":
|
|
label = self.caller["name"] if self.caller else "Caller"
|
|
else:
|
|
label = role
|
|
content = msg["content"]
|
|
summary_parts.append(
|
|
f'{label}: "{content[:100]}..."' if len(content) > 100
|
|
else f'{label}: "{content}"'
|
|
)
|
|
return "\n".join(summary_parts)
|
|
|
|
@property
|
|
def caller(self) -> dict:
|
|
if self.current_caller_key:
|
|
base = CALLER_BASES.get(self.current_caller_key)
|
|
if base:
|
|
return {
|
|
"name": base["name"],
|
|
"voice": base["voice"],
|
|
"vibe": self.get_caller_background(self.current_caller_key)
|
|
}
|
|
return None
|
|
|
|
def reset(self):
|
|
"""Reset session - clears all caller backgrounds for fresh personalities"""
|
|
self.caller_backgrounds = {}
|
|
self.current_caller_key = None
|
|
self.conversation = []
|
|
self.call_history = []
|
|
self.active_real_caller = None
|
|
self.ai_respond_mode = "manual"
|
|
self.auto_followup = False
|
|
self.news_headlines = []
|
|
self.research_notes = {}
|
|
if self._research_task and not self._research_task.done():
|
|
self._research_task.cancel()
|
|
self._research_task = None
|
|
_randomize_caller_names()
|
|
self.id = str(uuid.uuid4())[:8]
|
|
names = [CALLER_BASES[k]["name"] for k in sorted(CALLER_BASES.keys())]
|
|
print(f"[Session] Reset - new session ID: {self.id}, callers: {', '.join(names)}")
|
|
|
|
|
|
session = Session()
|
|
caller_service = CallerService()
|
|
_ai_response_lock = asyncio.Lock() # Prevents concurrent AI responses
|
|
_session_epoch = 0 # Increments on hangup/call start — stale tasks check this
|
|
|
|
|
|
# --- News & Research Helpers ---
|
|
|
|
async def _fetch_session_headlines():
|
|
try:
|
|
session.news_headlines = await news_service.get_headlines()
|
|
print(f"[News] Loaded {len(session.news_headlines)} headlines for session")
|
|
except Exception as e:
|
|
print(f"[News] Failed to load headlines: {e}")
|
|
|
|
|
|
async def _background_research(text: str):
|
|
keywords = extract_keywords(text)
|
|
if not keywords:
|
|
return
|
|
query = " ".join(keywords)
|
|
if query.lower() in session.research_notes:
|
|
return
|
|
try:
|
|
results = await news_service.search_topic(query)
|
|
if results:
|
|
session.research_notes[query.lower()] = results
|
|
print(f"[Research] Found {len(results)} results for '{query}'")
|
|
except Exception as e:
|
|
print(f"[Research] Error: {e}")
|
|
|
|
|
|
def _build_news_context() -> tuple[str, str]:
|
|
news_context = ""
|
|
if session.news_headlines:
|
|
news_context = news_service.format_headlines_for_prompt(session.news_headlines[:6])
|
|
research_context = ""
|
|
if session.research_notes:
|
|
all_items = []
|
|
for items in session.research_notes.values():
|
|
all_items.extend(items)
|
|
seen = set()
|
|
unique = []
|
|
for item in all_items:
|
|
if item.title not in seen:
|
|
seen.add(item.title)
|
|
unique.append(item)
|
|
research_context = news_service.format_headlines_for_prompt(unique[:8])
|
|
return news_context, research_context
|
|
|
|
|
|
# --- Lifecycle ---
|
|
@app.on_event("shutdown")
|
|
async def shutdown():
|
|
"""Clean up resources on server shutdown"""
|
|
global _host_audio_task
|
|
print("[Server] Shutting down — cleaning up resources...")
|
|
# Stop host mic streaming
|
|
audio_service.stop_host_stream()
|
|
# Cancel host audio sender task
|
|
if _host_audio_task and not _host_audio_task.done():
|
|
_host_audio_task.cancel()
|
|
try:
|
|
await _host_audio_task
|
|
except (asyncio.CancelledError, Exception):
|
|
pass
|
|
_host_audio_task = None
|
|
# Disconnect all active callers
|
|
for caller_id in list(caller_service.active_calls.keys()):
|
|
caller_service.hangup(caller_id)
|
|
caller_service.reset()
|
|
await news_service.close()
|
|
print("[Server] Cleanup complete")
|
|
|
|
|
|
# --- Static Files ---
|
|
frontend_dir = Path(__file__).parent.parent / "frontend"
|
|
app.mount("/css", StaticFiles(directory=frontend_dir / "css"), name="css")
|
|
app.mount("/js", StaticFiles(directory=frontend_dir / "js"), name="js")
|
|
|
|
|
|
@app.get("/")
|
|
async def index():
|
|
return FileResponse(frontend_dir / "index.html")
|
|
|
|
|
|
# --- SignalWire Endpoints ---
|
|
|
|
@app.post("/api/signalwire/voice")
|
|
async def signalwire_voice_webhook(request: Request):
|
|
"""Handle inbound call from SignalWire — return XML to start bidirectional stream"""
|
|
form = await request.form()
|
|
caller_phone = form.get("From", "Unknown")
|
|
call_sid = form.get("CallSid", "")
|
|
print(f"[SignalWire] Inbound call from {caller_phone} (CallSid: {call_sid})")
|
|
|
|
# Use dedicated stream URL (ngrok) if configured, otherwise derive from request
|
|
if settings.signalwire_stream_url:
|
|
stream_url = settings.signalwire_stream_url
|
|
else:
|
|
host = request.headers.get("host", "radioshow.macneilmediagroup.com")
|
|
stream_url = f"wss://{host}/api/signalwire/stream"
|
|
|
|
xml = f"""<?xml version="1.0" encoding="UTF-8"?>
|
|
<Response>
|
|
<Say voice="woman">You've reached Luke at the Roost. Hold tight, we'll get you on the air.</Say>
|
|
<Connect>
|
|
<Stream url="{stream_url}" codec="L16@16000h">
|
|
<Parameter name="caller_phone" value="{caller_phone}"/>
|
|
<Parameter name="call_sid" value="{call_sid}"/>
|
|
</Stream>
|
|
</Connect>
|
|
</Response>"""
|
|
|
|
return Response(content=xml, media_type="application/xml")
|
|
|
|
|
|
async def _signalwire_end_call(call_sid: str):
|
|
"""End a phone call via SignalWire REST API"""
|
|
if not call_sid or not settings.signalwire_space:
|
|
return
|
|
try:
|
|
url = f"https://{settings.signalwire_space}/api/laml/2010-04-01/Accounts/{settings.signalwire_project_id}/Calls/{call_sid}"
|
|
async with httpx.AsyncClient(timeout=10.0) as client:
|
|
response = await client.post(
|
|
url,
|
|
data={"Status": "completed"},
|
|
auth=(settings.signalwire_project_id, settings.signalwire_token),
|
|
)
|
|
print(f"[SignalWire] End call {call_sid}: {response.status_code}")
|
|
except Exception as e:
|
|
print(f"[SignalWire] Failed to end call {call_sid}: {e}")
|
|
|
|
|
|
# --- Request Models ---
|
|
|
|
class ChatRequest(BaseModel):
|
|
text: str
|
|
|
|
class TTSRequest(BaseModel):
|
|
text: str
|
|
voice_id: str
|
|
phone_filter: bool = True
|
|
|
|
class AudioDeviceSettings(BaseModel):
|
|
input_device: Optional[int] = None
|
|
input_channel: Optional[int] = None
|
|
output_device: Optional[int] = None
|
|
caller_channel: Optional[int] = None
|
|
live_caller_channel: Optional[int] = None
|
|
music_channel: Optional[int] = None
|
|
sfx_channel: Optional[int] = None
|
|
phone_filter: Optional[bool] = None
|
|
|
|
class MusicRequest(BaseModel):
|
|
track: str
|
|
action: str # "play", "stop", "volume"
|
|
volume: Optional[float] = None
|
|
|
|
class SFXRequest(BaseModel):
|
|
sound: str
|
|
|
|
|
|
# --- Audio Device Endpoints ---
|
|
|
|
@app.get("/api/audio/devices")
|
|
async def list_audio_devices():
|
|
"""List all available audio devices"""
|
|
return {"devices": audio_service.list_devices()}
|
|
|
|
|
|
@app.get("/api/audio/settings")
|
|
async def get_audio_settings():
|
|
"""Get current audio device configuration"""
|
|
return audio_service.get_device_settings()
|
|
|
|
|
|
@app.post("/api/audio/settings")
|
|
async def set_audio_settings(settings: AudioDeviceSettings):
|
|
"""Configure audio devices and channels"""
|
|
audio_service.set_devices(
|
|
input_device=settings.input_device,
|
|
input_channel=settings.input_channel,
|
|
output_device=settings.output_device,
|
|
caller_channel=settings.caller_channel,
|
|
live_caller_channel=settings.live_caller_channel,
|
|
music_channel=settings.music_channel,
|
|
sfx_channel=settings.sfx_channel,
|
|
phone_filter=settings.phone_filter
|
|
)
|
|
return audio_service.get_device_settings()
|
|
|
|
|
|
# --- Recording Endpoints ---
|
|
|
|
@app.post("/api/record/start")
|
|
async def start_recording():
|
|
"""Start recording from configured input device"""
|
|
if audio_service.input_device is None:
|
|
raise HTTPException(400, "No input device configured. Set one in /api/audio/settings")
|
|
|
|
success = audio_service.start_recording()
|
|
if not success:
|
|
raise HTTPException(400, "Failed to start recording (already recording?)")
|
|
|
|
return {"status": "recording"}
|
|
|
|
|
|
@app.post("/api/record/stop")
|
|
async def stop_recording():
|
|
"""Stop recording and transcribe"""
|
|
audio_bytes = audio_service.stop_recording()
|
|
|
|
if len(audio_bytes) < 100:
|
|
return {"text": "", "status": "no_audio"}
|
|
|
|
# Transcribe the recorded audio (16kHz raw PCM from audio service)
|
|
text = await transcribe_audio(audio_bytes, source_sample_rate=16000)
|
|
return {"text": text, "status": "transcribed"}
|
|
|
|
|
|
# --- Caller Endpoints ---
|
|
|
|
@app.get("/api/callers")
|
|
async def get_callers():
|
|
"""Get list of available callers"""
|
|
return {
|
|
"callers": [
|
|
{"key": k, "name": v["name"]}
|
|
for k, v in CALLER_BASES.items()
|
|
],
|
|
"current": session.current_caller_key,
|
|
"session_id": session.id
|
|
}
|
|
|
|
|
|
@app.post("/api/session/reset")
|
|
async def reset_session():
|
|
"""Reset session - all callers get fresh backgrounds"""
|
|
session.reset()
|
|
_chat_updates.clear()
|
|
return {"status": "reset", "session_id": session.id}
|
|
|
|
|
|
@app.post("/api/call/{caller_key}")
|
|
async def start_call(caller_key: str):
|
|
"""Start a call with a caller"""
|
|
global _session_epoch
|
|
if caller_key not in CALLER_BASES:
|
|
raise HTTPException(404, "Caller not found")
|
|
|
|
_session_epoch += 1
|
|
audio_service.stop_caller_audio()
|
|
session.start_call(caller_key)
|
|
caller = session.caller # This generates the background if needed
|
|
|
|
if not session.news_headlines:
|
|
asyncio.create_task(_fetch_session_headlines())
|
|
|
|
return {
|
|
"status": "connected",
|
|
"caller": caller["name"],
|
|
"background": caller["vibe"] # Send background so you can see who you're talking to
|
|
}
|
|
|
|
|
|
@app.post("/api/hangup")
|
|
async def hangup():
|
|
"""Hang up current call"""
|
|
global _session_epoch, _auto_respond_pending
|
|
_session_epoch += 1
|
|
|
|
# Stop any playing caller audio immediately
|
|
audio_service.stop_caller_audio()
|
|
|
|
# Cancel any pending auto-respond
|
|
if _auto_respond_pending and not _auto_respond_pending.done():
|
|
_auto_respond_pending.cancel()
|
|
_auto_respond_pending = None
|
|
_auto_respond_buffer.clear()
|
|
|
|
if session._research_task and not session._research_task.done():
|
|
session._research_task.cancel()
|
|
session._research_task = None
|
|
|
|
caller_name = session.caller["name"] if session.caller else None
|
|
session.end_call()
|
|
|
|
# Play hangup sound in background so response returns immediately
|
|
hangup_sound = settings.sounds_dir / "hangup.wav"
|
|
if hangup_sound.exists():
|
|
threading.Thread(target=audio_service.play_sfx, args=(str(hangup_sound),), daemon=True).start()
|
|
|
|
return {"status": "disconnected", "caller": caller_name}
|
|
|
|
|
|
# --- Chat & TTS Endpoints ---
|
|
|
|
import re
|
|
|
|
def ensure_complete_thought(text: str) -> str:
|
|
"""If text was cut off mid-sentence, trim to the last complete sentence."""
|
|
text = text.strip()
|
|
if not text:
|
|
return text
|
|
# Already ends with sentence-ending punctuation — good
|
|
if text[-1] in '.!?':
|
|
return text
|
|
# Cut off mid-sentence — find the last complete sentence
|
|
for i in range(len(text) - 1, -1, -1):
|
|
if text[i] in '.!?':
|
|
return text[:i + 1]
|
|
# No punctuation at all — just add a period
|
|
return text.rstrip(',;:— -') + '.'
|
|
|
|
|
|
def clean_for_tts(text: str) -> str:
|
|
"""Strip out non-speakable content and fix phonetic spellings for TTS"""
|
|
# Remove content in parentheses: (laughs), (pausing), (looking away), etc.
|
|
text = re.sub(r'\s*\([^)]*\)\s*', ' ', text)
|
|
# Remove content in asterisks: *laughs*, *sighs*, etc.
|
|
text = re.sub(r'\s*\*[^*]*\*\s*', ' ', text)
|
|
# Remove content in brackets: [laughs], [pause], etc. (only Bark uses these)
|
|
text = re.sub(r'\s*\[[^\]]*\]\s*', ' ', text)
|
|
# Remove content in angle brackets: <laughs>, <sigh>, etc.
|
|
text = re.sub(r'\s*<[^>]*>\s*', ' ', text)
|
|
# Remove "He/She sighs" style stage directions (full phrase)
|
|
text = re.sub(r'\b(He|She|I|They)\s+(sighs?|laughs?|pauses?|smiles?|chuckles?|grins?|nods?|shrugs?|frowns?)[^.]*\.\s*', '', text, flags=re.IGNORECASE)
|
|
# Remove standalone stage direction words only if they look like directions (with adverbs)
|
|
text = re.sub(r'\b(sighs?|laughs?|pauses?|chuckles?)\s+(heavily|softly|deeply|quietly|loudly|nervously|sadly)\b[.,]?\s*', '', text, flags=re.IGNORECASE)
|
|
# Remove quotes around the response if LLM wrapped it
|
|
text = re.sub(r'^["\']|["\']$', '', text.strip())
|
|
|
|
# Fix phonetic spellings for proper TTS pronunciation
|
|
text = re.sub(r"\by'know\b", "you know", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\byanno\b", "you know", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\byknow\b", "you know", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\bkinda\b", "kind of", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\bsorta\b", "sort of", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\bgonna\b", "going to", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\bwanna\b", "want to", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\bgotta\b", "got to", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\bdunno\b", "don't know", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\blemme\b", "let me", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\bcuz\b", "because", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\b'cause\b", "because", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\blotta\b", "lot of", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\boutta\b", "out of", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\bimma\b", "I'm going to", text, flags=re.IGNORECASE)
|
|
text = re.sub(r"\btryna\b", "trying to", text, flags=re.IGNORECASE)
|
|
|
|
# Clean up extra whitespace
|
|
text = re.sub(r'\s+', ' ', text)
|
|
# Fix spaces before punctuation
|
|
text = re.sub(r'\s+([.,!?])', r'\1', text)
|
|
# Remove orphaned punctuation at start
|
|
text = re.sub(r'^[.,]\s*', '', text)
|
|
return text.strip()
|
|
|
|
|
|
# --- Chat Broadcast (for real-time frontend updates) ---
|
|
_chat_updates: list[dict] = []
|
|
_CHAT_UPDATES_MAX = 500
|
|
|
|
|
|
def broadcast_chat(sender: str, text: str):
|
|
"""Add a chat message to the update queue for frontend polling"""
|
|
_chat_updates.append({"type": "chat", "sender": sender, "text": text, "id": len(_chat_updates)})
|
|
if len(_chat_updates) > _CHAT_UPDATES_MAX:
|
|
del _chat_updates[:_CHAT_UPDATES_MAX // 2]
|
|
|
|
|
|
def broadcast_event(event_type: str, data: dict = None):
|
|
"""Add a system event to the update queue for frontend polling"""
|
|
entry = {"type": event_type, "id": len(_chat_updates)}
|
|
if data:
|
|
entry.update(data)
|
|
_chat_updates.append(entry)
|
|
|
|
|
|
@app.get("/api/conversation/updates")
|
|
async def get_conversation_updates(since: int = 0):
|
|
"""Get new chat/event messages since a given index"""
|
|
return {"messages": _chat_updates[since:]}
|
|
|
|
|
|
def _normalize_messages_for_llm(messages: list[dict]) -> list[dict]:
|
|
"""Convert custom roles (real_caller:X, ai_caller:X) to standard LLM roles"""
|
|
normalized = []
|
|
for msg in messages:
|
|
role = msg["role"]
|
|
content = msg["content"]
|
|
if role.startswith("real_caller:"):
|
|
caller_label = role.split(":", 1)[1]
|
|
normalized.append({"role": "user", "content": f"[Real caller {caller_label}]: {content}"})
|
|
elif role.startswith("ai_caller:"):
|
|
normalized.append({"role": "assistant", "content": content})
|
|
elif role == "host":
|
|
normalized.append({"role": "user", "content": content})
|
|
else:
|
|
normalized.append(msg)
|
|
return normalized
|
|
|
|
|
|
@app.post("/api/chat")
|
|
async def chat(request: ChatRequest):
|
|
"""Chat with current caller"""
|
|
if not session.caller:
|
|
raise HTTPException(400, "No active call")
|
|
|
|
epoch = _session_epoch
|
|
session.add_message("user", request.text)
|
|
session._research_task = asyncio.create_task(_background_research(request.text))
|
|
|
|
async with _ai_response_lock:
|
|
if _session_epoch != epoch:
|
|
raise HTTPException(409, "Call ended while waiting")
|
|
|
|
# Stop any playing caller audio so responses don't overlap
|
|
audio_service.stop_caller_audio()
|
|
|
|
# Include conversation summary and show history for context
|
|
conversation_summary = session.get_conversation_summary()
|
|
show_history = session.get_show_history()
|
|
news_ctx, research_ctx = _build_news_context()
|
|
system_prompt = get_caller_prompt(session.caller, conversation_summary, show_history,
|
|
news_ctx, research_ctx)
|
|
|
|
messages = _normalize_messages_for_llm(session.conversation[-10:])
|
|
response = await llm_service.generate(
|
|
messages=messages,
|
|
system_prompt=system_prompt
|
|
)
|
|
|
|
# Discard if call changed while we were generating
|
|
if _session_epoch != epoch:
|
|
print(f"[Chat] Discarding stale response (epoch {epoch} → {_session_epoch})")
|
|
raise HTTPException(409, "Call changed during response")
|
|
|
|
print(f"[Chat] Raw LLM: {response[:100] if response else '(empty)'}...")
|
|
|
|
# Clean response for TTS (remove parenthetical actions, asterisks, etc.)
|
|
response = clean_for_tts(response)
|
|
response = ensure_complete_thought(response)
|
|
|
|
print(f"[Chat] Cleaned: {response[:100] if response else '(empty)'}...")
|
|
|
|
# Ensure we have a valid response
|
|
if not response or not response.strip():
|
|
response = "Uh... sorry, what was that?"
|
|
|
|
session.add_message("assistant", response)
|
|
|
|
return {
|
|
"text": response,
|
|
"caller": session.caller["name"],
|
|
"voice_id": session.caller["voice"]
|
|
}
|
|
|
|
|
|
@app.post("/api/tts")
|
|
async def text_to_speech(request: TTSRequest):
|
|
"""Generate and play speech on caller output device (non-blocking)"""
|
|
if not request.text or not request.text.strip():
|
|
raise HTTPException(400, "Text cannot be empty")
|
|
|
|
epoch = _session_epoch
|
|
|
|
audio_bytes = await generate_speech(
|
|
request.text,
|
|
request.voice_id,
|
|
"none"
|
|
)
|
|
|
|
# Don't play if call changed during TTS generation
|
|
if _session_epoch != epoch:
|
|
return {"status": "discarded", "duration": 0}
|
|
|
|
# Stop any existing audio before playing new
|
|
audio_service.stop_caller_audio()
|
|
|
|
# Play in background thread - returns immediately, can be interrupted by hangup
|
|
thread = threading.Thread(
|
|
target=audio_service.play_caller_audio,
|
|
args=(audio_bytes, 24000),
|
|
daemon=True
|
|
)
|
|
thread.start()
|
|
|
|
# Also stream to active real callers so they hear the AI
|
|
if session.active_real_caller:
|
|
caller_id = session.active_real_caller["caller_id"]
|
|
asyncio.create_task(
|
|
caller_service.stream_audio_to_caller(caller_id, audio_bytes, 24000)
|
|
)
|
|
|
|
return {"status": "playing", "duration": len(audio_bytes) / 2 / 24000}
|
|
|
|
|
|
@app.post("/api/tts/stop")
|
|
async def stop_tts():
|
|
"""Stop any playing caller audio"""
|
|
audio_service.stop_caller_audio()
|
|
return {"status": "stopped"}
|
|
|
|
|
|
# --- Music Endpoints ---
|
|
|
|
@app.get("/api/music")
|
|
async def get_music():
|
|
"""Get available music tracks"""
|
|
tracks = []
|
|
if settings.music_dir.exists():
|
|
for ext in ['*.wav', '*.mp3', '*.flac']:
|
|
for f in settings.music_dir.glob(ext):
|
|
tracks.append({
|
|
"name": f.stem,
|
|
"file": f.name,
|
|
"path": str(f)
|
|
})
|
|
return {
|
|
"tracks": tracks,
|
|
"playing": audio_service.is_music_playing()
|
|
}
|
|
|
|
|
|
@app.post("/api/music/play")
|
|
async def play_music(request: MusicRequest):
|
|
"""Load and play a music track"""
|
|
track_path = settings.music_dir / request.track
|
|
if not track_path.exists():
|
|
raise HTTPException(404, "Track not found")
|
|
|
|
audio_service.load_music(str(track_path))
|
|
audio_service.play_music()
|
|
return {"status": "playing", "track": request.track}
|
|
|
|
|
|
@app.post("/api/music/stop")
|
|
async def stop_music():
|
|
"""Stop music playback"""
|
|
audio_service.stop_music()
|
|
return {"status": "stopped"}
|
|
|
|
|
|
@app.post("/api/music/volume")
|
|
async def set_music_volume(request: MusicRequest):
|
|
"""Set music volume"""
|
|
if request.volume is not None:
|
|
audio_service.set_music_volume(request.volume)
|
|
return {"status": "ok", "volume": request.volume}
|
|
|
|
|
|
# --- Sound Effects Endpoints ---
|
|
|
|
@app.get("/api/sounds")
|
|
async def get_sounds():
|
|
"""Get available sound effects"""
|
|
sounds = []
|
|
if settings.sounds_dir.exists():
|
|
for f in settings.sounds_dir.glob('*.wav'):
|
|
sounds.append({
|
|
"name": f.stem,
|
|
"file": f.name,
|
|
"path": str(f)
|
|
})
|
|
return {"sounds": sounds}
|
|
|
|
|
|
@app.post("/api/sfx/play")
|
|
async def play_sfx(request: SFXRequest):
|
|
"""Play a sound effect"""
|
|
sound_path = settings.sounds_dir / request.sound
|
|
if not sound_path.exists():
|
|
raise HTTPException(404, "Sound not found")
|
|
|
|
audio_service.play_sfx(str(sound_path))
|
|
return {"status": "playing", "sound": request.sound}
|
|
|
|
|
|
# --- LLM Settings Endpoints ---
|
|
|
|
@app.get("/api/settings")
|
|
async def get_settings():
|
|
"""Get LLM settings"""
|
|
return await llm_service.get_settings_async()
|
|
|
|
|
|
@app.post("/api/settings")
|
|
async def update_settings(data: dict):
|
|
"""Update LLM and TTS settings"""
|
|
llm_service.update_settings(
|
|
provider=data.get("provider"),
|
|
openrouter_model=data.get("openrouter_model"),
|
|
ollama_model=data.get("ollama_model"),
|
|
ollama_host=data.get("ollama_host"),
|
|
tts_provider=data.get("tts_provider")
|
|
)
|
|
return llm_service.get_settings()
|
|
|
|
|
|
@app.websocket("/api/signalwire/stream")
|
|
async def signalwire_audio_stream(websocket: WebSocket):
|
|
"""Handle SignalWire bidirectional audio stream"""
|
|
await websocket.accept()
|
|
|
|
caller_id = str(uuid.uuid4())[:8]
|
|
caller_phone = "Unknown"
|
|
call_sid = ""
|
|
audio_buffer = bytearray()
|
|
CHUNK_DURATION_S = 3
|
|
SAMPLE_RATE = 16000
|
|
chunk_samples = CHUNK_DURATION_S * SAMPLE_RATE
|
|
stream_started = False
|
|
|
|
try:
|
|
while True:
|
|
message = await websocket.receive()
|
|
|
|
if message.get("type") == "websocket.disconnect":
|
|
break
|
|
|
|
raw = message.get("text")
|
|
if not raw:
|
|
continue
|
|
|
|
try:
|
|
msg = json.loads(raw)
|
|
except json.JSONDecodeError:
|
|
continue
|
|
|
|
event = msg.get("event")
|
|
|
|
if event == "start":
|
|
custom = msg.get("start", {}).get("customParameters", {})
|
|
caller_phone = custom.get("caller_phone", "Unknown")
|
|
call_sid = custom.get("call_sid", "")
|
|
stream_sid = msg.get("start", {}).get("streamSid", "")
|
|
|
|
stream_started = True
|
|
print(f"[SignalWire WS] Stream started: {caller_phone} (CallSid: {call_sid}, StreamSid: {stream_sid})")
|
|
|
|
caller_service.add_to_queue(caller_id, caller_phone)
|
|
caller_service.register_websocket(caller_id, websocket)
|
|
broadcast_event("caller_queued", {"phone": caller_phone})
|
|
broadcast_chat("System", f"{caller_phone} is waiting in the queue")
|
|
|
|
ring_sound = settings.sounds_dir / "phone_ring.wav"
|
|
if ring_sound.exists():
|
|
threading.Thread(target=audio_service.play_sfx, args=(str(ring_sound),), daemon=True).start()
|
|
|
|
if call_sid:
|
|
caller_service.register_call_sid(caller_id, call_sid)
|
|
if stream_sid:
|
|
caller_service.register_stream_sid(caller_id, stream_sid)
|
|
|
|
elif event == "media" and stream_started:
|
|
try:
|
|
payload = msg.get("media", {}).get("payload", "")
|
|
if not payload:
|
|
continue
|
|
|
|
pcm_data = base64.b64decode(payload)
|
|
|
|
call_info = caller_service.active_calls.get(caller_id)
|
|
if not call_info:
|
|
continue
|
|
|
|
audio_buffer.extend(pcm_data)
|
|
audio_service.route_real_caller_audio(pcm_data, SAMPLE_RATE)
|
|
|
|
if len(audio_buffer) >= chunk_samples * 2:
|
|
pcm_chunk = bytes(audio_buffer[:chunk_samples * 2])
|
|
audio_buffer = audio_buffer[chunk_samples * 2:]
|
|
# Skip transcription if audio is silent
|
|
audio_check = np.frombuffer(pcm_chunk, dtype=np.int16).astype(np.float32) / 32768.0
|
|
if np.abs(audio_check).max() < 0.01:
|
|
continue
|
|
asyncio.create_task(
|
|
_safe_transcribe(caller_id, pcm_chunk, SAMPLE_RATE)
|
|
)
|
|
except Exception as e:
|
|
print(f"[SignalWire WS] Media frame error (non-fatal): {e}")
|
|
continue # Skip bad frame, don't disconnect caller
|
|
|
|
elif event == "stop":
|
|
print(f"[SignalWire WS] Stream stop event received: {caller_phone} (caller_id: {caller_id})")
|
|
break
|
|
|
|
except WebSocketDisconnect:
|
|
on_air = caller_id in caller_service.active_calls
|
|
tts_active = caller_service.is_streaming_tts(caller_id)
|
|
started_at = caller_service.active_calls.get(caller_id, {}).get("started_at")
|
|
duration = f"{time.time() - started_at:.0f}s" if started_at else "n/a"
|
|
print(f"[SignalWire WS] DROPPED: {caller_id} ({caller_phone}) on_air={on_air} tts_active={tts_active} duration={duration}")
|
|
disconnect_reason = "dropped"
|
|
except Exception as e:
|
|
print(f"[SignalWire WS] Error: {e}")
|
|
traceback.print_exc()
|
|
disconnect_reason = f"error: {e}"
|
|
else:
|
|
disconnect_reason = "clean"
|
|
finally:
|
|
was_on_air = caller_id in caller_service.active_calls
|
|
caller_service.unregister_websocket(caller_id)
|
|
caller_service.unregister_call_sid(caller_id)
|
|
caller_service.unregister_stream_sid(caller_id)
|
|
caller_service.remove_from_queue(caller_id)
|
|
if was_on_air:
|
|
caller_service.hangup(caller_id)
|
|
if session.active_real_caller and session.active_real_caller.get("caller_id") == caller_id:
|
|
session.active_real_caller = None
|
|
if len(caller_service.active_calls) == 0:
|
|
audio_service.stop_host_stream()
|
|
broadcast_event("caller_disconnected", {"phone": caller_phone, "reason": disconnect_reason})
|
|
broadcast_chat("System", f"{caller_phone} disconnected ({disconnect_reason})")
|
|
|
|
drop_sound = settings.sounds_dir / ("busy.wav" if disconnect_reason == "dropped" else "hangup.wav")
|
|
if drop_sound.exists():
|
|
threading.Thread(target=audio_service.play_sfx, args=(str(drop_sound),), daemon=True).start()
|
|
elif stream_started:
|
|
broadcast_chat("System", f"{caller_phone} left the queue")
|
|
if audio_buffer and caller_id in caller_service.active_calls:
|
|
asyncio.create_task(
|
|
_safe_transcribe(caller_id, bytes(audio_buffer), SAMPLE_RATE)
|
|
)
|
|
|
|
|
|
async def _safe_transcribe(caller_id: str, pcm_chunk: bytes, sample_rate: int):
|
|
"""Wrapper that catches transcription errors so they don't crash anything"""
|
|
try:
|
|
await _handle_real_caller_transcription(caller_id, pcm_chunk, sample_rate)
|
|
except Exception as e:
|
|
print(f"[Transcription] Error (non-fatal): {e}")
|
|
|
|
|
|
# --- Host Audio Broadcast ---
|
|
|
|
_host_audio_queue: asyncio.Queue = None
|
|
_host_audio_task: asyncio.Task = None
|
|
|
|
|
|
async def _host_audio_sender():
|
|
"""Persistent task that drains audio queue, batches frames, and sends to callers"""
|
|
_send_count = [0]
|
|
try:
|
|
while True:
|
|
pcm_bytes = await _host_audio_queue.get()
|
|
if caller_service.is_streaming_tts_any():
|
|
continue
|
|
|
|
# Drain all available frames and concatenate
|
|
chunks = [pcm_bytes]
|
|
while not _host_audio_queue.empty():
|
|
try:
|
|
extra = _host_audio_queue.get_nowait()
|
|
if not caller_service.is_streaming_tts_any():
|
|
chunks.append(extra)
|
|
except asyncio.QueueEmpty:
|
|
break
|
|
|
|
combined = b''.join(chunks)
|
|
t0 = time.time()
|
|
for caller_id in list(caller_service.active_calls.keys()):
|
|
try:
|
|
await caller_service.send_audio_to_caller(caller_id, combined, 16000)
|
|
except Exception:
|
|
pass
|
|
elapsed = time.time() - t0
|
|
_send_count[0] += 1
|
|
if _send_count[0] % 20 == 0:
|
|
qsize = _host_audio_queue.qsize()
|
|
audio_ms = len(combined) / 2 / 16000 * 1000
|
|
print(f"[HostAudio] send took {elapsed*1000:.0f}ms, {len(chunks)} chunks batched ({audio_ms:.0f}ms audio), queue: {qsize}")
|
|
except asyncio.CancelledError:
|
|
print("[HostAudio] Sender task cancelled")
|
|
except Exception as e:
|
|
print(f"[HostAudio] Sender task error: {e}")
|
|
|
|
|
|
def _start_host_audio_sender():
|
|
"""Start the persistent host audio sender task"""
|
|
global _host_audio_queue, _host_audio_task
|
|
if _host_audio_queue is None:
|
|
_host_audio_queue = asyncio.Queue(maxsize=50)
|
|
if _host_audio_task is None or _host_audio_task.done():
|
|
_host_audio_task = asyncio.create_task(_host_audio_sender())
|
|
|
|
|
|
def _host_audio_sync_callback(pcm_bytes: bytes):
|
|
"""Sync callback from audio thread — push to queue for async sending"""
|
|
if _host_audio_queue is None:
|
|
return
|
|
try:
|
|
_host_audio_queue.put_nowait(pcm_bytes)
|
|
except asyncio.QueueFull:
|
|
pass # Drop frame rather than block
|
|
|
|
|
|
# --- Queue Endpoints ---
|
|
|
|
@app.get("/api/queue")
|
|
async def get_call_queue():
|
|
"""Get list of callers waiting in queue"""
|
|
return {"queue": caller_service.get_queue()}
|
|
|
|
|
|
@app.post("/api/queue/take/{caller_id}")
|
|
async def take_call_from_queue(caller_id: str):
|
|
"""Take a caller off hold and put them on air"""
|
|
try:
|
|
call_info = caller_service.take_call(caller_id)
|
|
except ValueError as e:
|
|
raise HTTPException(404, str(e))
|
|
|
|
session.active_real_caller = {
|
|
"caller_id": call_info["caller_id"],
|
|
"channel": call_info["channel"],
|
|
"phone": call_info["phone"],
|
|
}
|
|
|
|
# Start host mic streaming if this is the first real caller
|
|
if len(caller_service.active_calls) == 1:
|
|
_start_host_audio_sender()
|
|
audio_service.start_host_stream(_host_audio_sync_callback)
|
|
|
|
return {
|
|
"status": "on_air",
|
|
"caller": call_info,
|
|
}
|
|
|
|
|
|
@app.post("/api/queue/drop/{caller_id}")
|
|
async def drop_from_queue(caller_id: str):
|
|
"""Drop a caller from the queue"""
|
|
call_sid = caller_service.get_call_sid(caller_id)
|
|
caller_service.remove_from_queue(caller_id)
|
|
if call_sid:
|
|
await _signalwire_end_call(call_sid)
|
|
return {"status": "dropped"}
|
|
|
|
|
|
_auto_respond_pending: asyncio.Task | None = None
|
|
_auto_respond_buffer: list[str] = []
|
|
|
|
|
|
async def _handle_real_caller_transcription(caller_id: str, pcm_data: bytes, sample_rate: int):
|
|
"""Transcribe a chunk of real caller audio and add to conversation"""
|
|
global _auto_respond_pending
|
|
|
|
call_info = caller_service.active_calls.get(caller_id)
|
|
if not call_info:
|
|
return
|
|
|
|
text = await transcribe_audio(pcm_data, source_sample_rate=sample_rate)
|
|
if not text or not text.strip():
|
|
return
|
|
|
|
caller_phone = call_info["phone"]
|
|
print(f"[Real Caller] {caller_phone}: {text}")
|
|
|
|
# Add to conversation and broadcast to frontend
|
|
session.add_message(f"real_caller:{caller_phone}", text)
|
|
broadcast_chat(f"{caller_phone} (caller)", text)
|
|
|
|
# If AI auto-respond mode is on and an AI caller is active, debounce auto-respond
|
|
if session.ai_respond_mode == "auto" and session.current_caller_key:
|
|
_auto_respond_buffer.append(text)
|
|
# Cancel any pending auto-respond timer and restart it
|
|
if _auto_respond_pending and not _auto_respond_pending.done():
|
|
_auto_respond_pending.cancel()
|
|
_auto_respond_pending = asyncio.create_task(_debounced_auto_respond(caller_phone))
|
|
|
|
|
|
async def _debounced_auto_respond(caller_phone: str):
|
|
"""Wait for caller to stop talking (4s pause), then trigger AI response"""
|
|
try:
|
|
await asyncio.sleep(4) # Wait 4 seconds of silence
|
|
except asyncio.CancelledError:
|
|
return # More speech came in, timer restarted
|
|
|
|
# Gather accumulated text
|
|
accumulated = " ".join(_auto_respond_buffer)
|
|
_auto_respond_buffer.clear()
|
|
|
|
if not accumulated.strip():
|
|
return
|
|
|
|
print(f"[Auto-Respond] Caller paused. Accumulated: {accumulated[:100]}...")
|
|
await _trigger_ai_auto_respond(accumulated)
|
|
|
|
|
|
async def _trigger_ai_auto_respond(accumulated_text: str):
|
|
"""Generate AI caller response to accumulated real caller speech"""
|
|
epoch = _session_epoch
|
|
|
|
if not session.caller:
|
|
return
|
|
|
|
if _ai_response_lock.locked():
|
|
return
|
|
|
|
# Cooldown check
|
|
if not hasattr(session, '_last_ai_auto_respond'):
|
|
session._last_ai_auto_respond = 0
|
|
if time.time() - session._last_ai_auto_respond < 5:
|
|
return
|
|
|
|
ai_name = session.caller["name"]
|
|
|
|
async with _ai_response_lock:
|
|
if _session_epoch != epoch:
|
|
return # Call changed while waiting for lock
|
|
|
|
print(f"[Auto-Respond] {ai_name} is jumping in...")
|
|
session._last_ai_auto_respond = time.time()
|
|
audio_service.stop_caller_audio()
|
|
broadcast_event("ai_status", {"text": f"{ai_name} is thinking..."})
|
|
|
|
conversation_summary = session.get_conversation_summary()
|
|
show_history = session.get_show_history()
|
|
news_ctx, research_ctx = _build_news_context()
|
|
system_prompt = get_caller_prompt(session.caller, conversation_summary, show_history,
|
|
news_ctx, research_ctx)
|
|
|
|
messages = _normalize_messages_for_llm(session.conversation[-10:])
|
|
response = await llm_service.generate(
|
|
messages=messages,
|
|
system_prompt=system_prompt,
|
|
)
|
|
|
|
# Discard if call changed during generation
|
|
if _session_epoch != epoch:
|
|
print(f"[Auto-Respond] Discarding stale response (epoch {epoch} → {_session_epoch})")
|
|
broadcast_event("ai_done")
|
|
return
|
|
|
|
response = clean_for_tts(response)
|
|
response = ensure_complete_thought(response)
|
|
if not response or not response.strip():
|
|
broadcast_event("ai_done")
|
|
return
|
|
|
|
# Final staleness check before playing audio
|
|
if _session_epoch != epoch:
|
|
broadcast_event("ai_done")
|
|
return
|
|
|
|
session.add_message(f"ai_caller:{ai_name}", response)
|
|
broadcast_chat(ai_name, response)
|
|
|
|
broadcast_event("ai_status", {"text": f"{ai_name} is speaking..."})
|
|
audio_bytes = await generate_speech(response, session.caller["voice"], "none")
|
|
|
|
# Don't play if call changed during TTS generation
|
|
if _session_epoch != epoch:
|
|
print(f"[Auto-Respond] Discarding stale TTS (epoch {epoch} → {_session_epoch})")
|
|
broadcast_event("ai_done")
|
|
return
|
|
|
|
thread = threading.Thread(
|
|
target=audio_service.play_caller_audio,
|
|
args=(audio_bytes, 24000),
|
|
daemon=True,
|
|
)
|
|
thread.start()
|
|
|
|
broadcast_event("ai_done")
|
|
|
|
session._research_task = asyncio.create_task(_background_research(accumulated_text))
|
|
|
|
# Also stream to active real caller so they hear the AI
|
|
if session.active_real_caller:
|
|
caller_id = session.active_real_caller["caller_id"]
|
|
asyncio.create_task(
|
|
caller_service.stream_audio_to_caller(caller_id, audio_bytes, 24000)
|
|
)
|
|
|
|
|
|
@app.post("/api/ai-respond")
|
|
async def ai_respond():
|
|
"""Trigger AI caller to respond based on current conversation"""
|
|
if not session.caller:
|
|
raise HTTPException(400, "No active AI caller")
|
|
|
|
epoch = _session_epoch
|
|
|
|
async with _ai_response_lock:
|
|
if _session_epoch != epoch:
|
|
raise HTTPException(409, "Call ended while waiting")
|
|
|
|
audio_service.stop_caller_audio()
|
|
|
|
conversation_summary = session.get_conversation_summary()
|
|
show_history = session.get_show_history()
|
|
news_ctx, research_ctx = _build_news_context()
|
|
system_prompt = get_caller_prompt(session.caller, conversation_summary, show_history,
|
|
news_ctx, research_ctx)
|
|
|
|
messages = _normalize_messages_for_llm(session.conversation[-10:])
|
|
response = await llm_service.generate(
|
|
messages=messages,
|
|
system_prompt=system_prompt
|
|
)
|
|
|
|
if _session_epoch != epoch:
|
|
raise HTTPException(409, "Call changed during response")
|
|
|
|
response = clean_for_tts(response)
|
|
response = ensure_complete_thought(response)
|
|
|
|
if not response or not response.strip():
|
|
response = "Uh... sorry, what was that?"
|
|
|
|
ai_name = session.caller["name"]
|
|
session.add_message(f"ai_caller:{ai_name}", response)
|
|
|
|
# TTS
|
|
audio_bytes = await generate_speech(response, session.caller["voice"], "none")
|
|
|
|
if _session_epoch != epoch:
|
|
raise HTTPException(409, "Call changed during TTS")
|
|
|
|
thread = threading.Thread(
|
|
target=audio_service.play_caller_audio,
|
|
args=(audio_bytes, 24000),
|
|
daemon=True,
|
|
)
|
|
thread.start()
|
|
|
|
# Stream to real caller
|
|
if session.active_real_caller:
|
|
caller_id = session.active_real_caller["caller_id"]
|
|
asyncio.create_task(
|
|
caller_service.stream_audio_to_caller(caller_id, audio_bytes, 24000)
|
|
)
|
|
|
|
return {
|
|
"text": response,
|
|
"caller": ai_name,
|
|
"voice_id": session.caller["voice"]
|
|
}
|
|
|
|
|
|
# --- Follow-Up & Session Control Endpoints ---
|
|
|
|
@app.post("/api/hangup/real")
|
|
async def hangup_real_caller():
|
|
"""Hang up on real caller — disconnect immediately, summarize in background"""
|
|
global _session_epoch, _auto_respond_pending
|
|
if not session.active_real_caller:
|
|
raise HTTPException(400, "No active real caller")
|
|
|
|
_session_epoch += 1
|
|
|
|
# Cancel any pending auto-respond
|
|
if _auto_respond_pending and not _auto_respond_pending.done():
|
|
_auto_respond_pending.cancel()
|
|
_auto_respond_pending = None
|
|
_auto_respond_buffer.clear()
|
|
|
|
if session._research_task and not session._research_task.done():
|
|
session._research_task.cancel()
|
|
session._research_task = None
|
|
|
|
caller_id = session.active_real_caller["caller_id"]
|
|
caller_phone = session.active_real_caller["phone"]
|
|
conversation_snapshot = list(session.conversation)
|
|
auto_followup_enabled = session.auto_followup
|
|
|
|
# End the phone call via SignalWire
|
|
call_sid = caller_service.get_call_sid(caller_id)
|
|
caller_service.hangup(caller_id)
|
|
if call_sid:
|
|
asyncio.create_task(_signalwire_end_call(call_sid))
|
|
|
|
# Stop host streaming if no more active callers
|
|
if len(caller_service.active_calls) == 0:
|
|
audio_service.stop_host_stream()
|
|
|
|
session.active_real_caller = None
|
|
|
|
hangup_sound = settings.sounds_dir / "hangup.wav"
|
|
if hangup_sound.exists():
|
|
threading.Thread(target=audio_service.play_sfx, args=(str(hangup_sound),), daemon=True).start()
|
|
|
|
asyncio.create_task(
|
|
_summarize_real_call(caller_phone, conversation_snapshot, auto_followup_enabled)
|
|
)
|
|
|
|
return {
|
|
"status": "disconnected",
|
|
"caller": caller_phone,
|
|
}
|
|
|
|
|
|
async def _summarize_real_call(caller_phone: str, conversation: list, auto_followup_enabled: bool):
|
|
"""Background task: summarize call and store in history"""
|
|
summary = ""
|
|
if conversation:
|
|
transcript_text = "\n".join(
|
|
f"{msg['role']}: {msg['content']}" for msg in conversation
|
|
)
|
|
summary = await llm_service.generate(
|
|
messages=[{"role": "user", "content": f"Summarize this radio show call in 1-2 sentences:\n{transcript_text}"}],
|
|
system_prompt="You summarize radio show conversations concisely. Focus on what the caller talked about and any emotional moments.",
|
|
)
|
|
|
|
session.call_history.append(CallRecord(
|
|
caller_type="real",
|
|
caller_name=caller_phone,
|
|
summary=summary,
|
|
transcript=conversation,
|
|
))
|
|
print(f"[Real Caller] {caller_phone} call summarized: {summary[:80]}...")
|
|
|
|
if auto_followup_enabled:
|
|
await _auto_followup(summary)
|
|
|
|
|
|
async def _auto_followup(last_call_summary: str):
|
|
"""Automatically pick an AI caller and connect them as follow-up"""
|
|
await asyncio.sleep(7) # Brief pause before follow-up
|
|
|
|
# Ask LLM to pick best AI caller for follow-up
|
|
caller_list = ", ".join(
|
|
f'{k}: {v["name"]} ({v["gender"]}, {v["age_range"][0]}-{v["age_range"][1]})'
|
|
for k, v in CALLER_BASES.items()
|
|
)
|
|
pick = await llm_service.generate(
|
|
messages=[{"role": "user", "content": f'A caller just talked about: "{last_call_summary}". Which AI caller should follow up? Available: {caller_list}. Reply with just the key number.'}],
|
|
system_prompt="Pick the most interesting AI caller to follow up on this topic. Just reply with the number key.",
|
|
)
|
|
|
|
# Extract key from response
|
|
match = re.search(r'\d+', pick)
|
|
if match:
|
|
caller_key = match.group()
|
|
if caller_key in CALLER_BASES:
|
|
session.start_call(caller_key)
|
|
print(f"[Auto Follow-Up] {CALLER_BASES[caller_key]['name']} is calling in about: {last_call_summary[:50]}...")
|
|
|
|
|
|
@app.post("/api/followup/generate")
|
|
async def generate_followup():
|
|
"""Generate an AI follow-up caller based on recent show history"""
|
|
if not session.call_history:
|
|
raise HTTPException(400, "No call history to follow up on")
|
|
|
|
last_record = session.call_history[-1]
|
|
await _auto_followup(last_record.summary)
|
|
|
|
return {
|
|
"status": "followup_triggered",
|
|
"based_on": last_record.caller_name,
|
|
}
|
|
|
|
|
|
@app.post("/api/session/ai-mode")
|
|
async def set_ai_mode(data: dict):
|
|
"""Set AI respond mode (manual or auto)"""
|
|
mode = data.get("mode", "manual")
|
|
session.ai_respond_mode = mode
|
|
print(f"[Session] AI respond mode: {mode}")
|
|
return {"mode": mode}
|
|
|
|
|
|
@app.post("/api/session/auto-followup")
|
|
async def set_auto_followup(data: dict):
|
|
"""Toggle auto follow-up"""
|
|
session.auto_followup = data.get("enabled", False)
|
|
print(f"[Session] Auto follow-up: {session.auto_followup}")
|
|
return {"enabled": session.auto_followup}
|
|
|
|
|
|
# --- Server Control Endpoints ---
|
|
|
|
import subprocess
|
|
from collections import deque
|
|
|
|
# In-memory log buffer
|
|
_log_buffer = deque(maxlen=500)
|
|
|
|
def add_log(message: str):
|
|
"""Add a message to the log buffer"""
|
|
import datetime
|
|
timestamp = datetime.datetime.now().strftime("%H:%M:%S")
|
|
_log_buffer.append(f"[{timestamp}] {message}")
|
|
|
|
# Override print to also log to buffer
|
|
import builtins
|
|
_original_print = builtins.print
|
|
def _logging_print(*args, **kwargs):
|
|
try:
|
|
_original_print(*args, **kwargs)
|
|
except (BrokenPipeError, OSError):
|
|
pass # Ignore broken pipe errors from traceback printing
|
|
try:
|
|
message = " ".join(str(a) for a in args)
|
|
if message.strip():
|
|
add_log(message)
|
|
except Exception:
|
|
pass # Don't let logging errors break the app
|
|
builtins.print = _logging_print
|
|
|
|
|
|
@app.get("/api/logs")
|
|
async def get_logs(lines: int = 100):
|
|
"""Get recent log lines"""
|
|
log_lines = list(_log_buffer)[-lines:]
|
|
return {"logs": log_lines}
|
|
|
|
|
|
@app.post("/api/server/restart")
|
|
async def restart_server():
|
|
"""Signal the server to restart (requires run.sh wrapper)"""
|
|
restart_flag = Path("/tmp/ai-radio-show.restart")
|
|
restart_flag.touch()
|
|
add_log("Restart signal sent - server will restart shortly")
|
|
return {"status": "restarting"}
|
|
|
|
|
|
@app.post("/api/server/stop")
|
|
async def stop_server():
|
|
"""Signal the server to stop (requires run.sh wrapper)"""
|
|
stop_flag = Path("/tmp/ai-radio-show.stop")
|
|
stop_flag.touch()
|
|
add_log("Stop signal sent - server will stop shortly")
|
|
return {"status": "stopping"}
|
|
|
|
|
|
@app.get("/api/server/status")
|
|
async def server_status():
|
|
"""Get server status info"""
|
|
return {
|
|
"status": "running",
|
|
"tts_provider": settings.tts_provider,
|
|
"llm_provider": llm_service.provider,
|
|
"session_id": session.id
|
|
}
|