tcpsyn
356bf145b8
- Music crossfade: smooth 3-second blend between tracks instead of hard stop/start - Emotional detection: analyze host mood from recent messages so callers adapt tone - AI caller summaries: generate call summaries with timestamps for show history - Returning callers: persist regular callers across sessions with call history - Session export: generate transcripts with speaker labels and chapter markers - Caller screening: AI pre-screens phone callers to get name and topic while queued Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
435 lines
14 KiB
Python
Executable File
435 lines
14 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Podcast Episode Publisher
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Transcribes audio, generates metadata, and publishes to Castopod.
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Usage:
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python publish_episode.py /path/to/episode.mp3
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python publish_episode.py /path/to/episode.mp3 --episode-number 3
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python publish_episode.py /path/to/episode.mp3 --dry-run
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"""
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import argparse
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import json
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import os
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import re
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import subprocess
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import sys
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import base64
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from pathlib import Path
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import requests
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv(Path(__file__).parent / ".env")
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# Configuration
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CASTOPOD_URL = "https://podcast.macneilmediagroup.com"
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CASTOPOD_USERNAME = "admin"
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CASTOPOD_PASSWORD = "podcast2026api"
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PODCAST_ID = 1
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PODCAST_HANDLE = "LukeAtTheRoost"
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OPENROUTER_API_KEY = os.getenv("OPENROUTER_API_KEY")
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WHISPER_MODEL = "base" # Options: tiny, base, small, medium, large
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# NAS Configuration for chapters upload
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NAS_HOST = "mmgnas-10g"
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NAS_USER = "luke"
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NAS_SSH_PORT = 8001
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DOCKER_PATH = "/share/CACHEDEV1_DATA/.qpkg/container-station/bin/docker"
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CASTOPOD_CONTAINER = "castopod-castopod-1"
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MARIADB_CONTAINER = "castopod-mariadb-1"
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DB_USER = "castopod"
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DB_PASS = "BYtbFfk3ndeVabb26xb0UyKU"
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DB_NAME = "castopod"
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def get_auth_header():
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"""Get Basic Auth header for Castopod API."""
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credentials = base64.b64encode(
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f"{CASTOPOD_USERNAME}:{CASTOPOD_PASSWORD}".encode()
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).decode()
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return {"Authorization": f"Basic {credentials}"}
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def transcribe_audio(audio_path: str) -> dict:
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"""Transcribe audio using faster-whisper with timestamps."""
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print(f"[1/5] Transcribing {audio_path}...")
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try:
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from faster_whisper import WhisperModel
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except ImportError:
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print("Error: faster-whisper not installed. Run: pip install faster-whisper")
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sys.exit(1)
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model = WhisperModel(WHISPER_MODEL, compute_type="int8")
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segments, info = model.transcribe(audio_path, word_timestamps=True)
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transcript_segments = []
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full_text = []
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for segment in segments:
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transcript_segments.append({
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"start": segment.start,
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"end": segment.end,
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"text": segment.text.strip()
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})
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full_text.append(segment.text.strip())
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print(f" Transcribed {info.duration:.1f} seconds of audio")
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return {
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"segments": transcript_segments,
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"full_text": " ".join(full_text),
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"duration": int(info.duration)
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}
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def generate_metadata(transcript: dict, episode_number: int) -> dict:
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"""Use LLM to generate title, description, and chapters from transcript."""
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print("[2/5] Generating metadata with LLM...")
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if not OPENROUTER_API_KEY:
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print("Error: OPENROUTER_API_KEY not set in .env")
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sys.exit(1)
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# Prepare transcript with timestamps for chapter detection
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timestamped_text = ""
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for seg in transcript["segments"]:
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mins = int(seg["start"] // 60)
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secs = int(seg["start"] % 60)
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timestamped_text += f"[{mins:02d}:{secs:02d}] {seg['text']}\n"
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prompt = f"""Analyze this podcast transcript and generate metadata.
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TRANSCRIPT:
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{timestamped_text}
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Generate a JSON response with:
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1. "title": A catchy episode title (include "Episode {episode_number}:" prefix)
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2. "description": A 2-4 sentence description summarizing the episode's content. Mention callers by name and their topics. End with something engaging.
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3. "chapters": An array of chapter objects with "startTime" (in seconds) and "title". Include:
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- "Intro" at 0 seconds
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- A chapter for each caller/topic (use caller names if mentioned)
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- "Outro" near the end
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Respond with ONLY valid JSON, no markdown or explanation."""
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response = requests.post(
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"https://openrouter.ai/api/v1/chat/completions",
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headers={
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"Authorization": f"Bearer {OPENROUTER_API_KEY}",
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"Content-Type": "application/json"
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},
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json={
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"model": "anthropic/claude-3-haiku",
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"messages": [{"role": "user", "content": prompt}],
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"temperature": 0.7
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}
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)
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if response.status_code != 200:
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print(f"Error from OpenRouter: {response.text}")
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sys.exit(1)
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result = response.json()
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content = result["choices"][0]["message"]["content"]
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# Parse JSON from response (handle markdown code blocks)
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content = content.strip()
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if content.startswith("```"):
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content = re.sub(r"^```(?:json)?\n?", "", content)
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content = re.sub(r"\n?```$", "", content)
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try:
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metadata = json.loads(content)
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except json.JSONDecodeError as e:
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print(f"Error parsing LLM response: {e}")
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print(f"Response was: {content}")
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sys.exit(1)
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print(f" Title: {metadata['title']}")
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print(f" Chapters: {len(metadata['chapters'])}")
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return metadata
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def create_episode(audio_path: str, metadata: dict, episode_number: int) -> dict:
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"""Create episode on Castopod."""
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print("[3/5] Creating episode on Castopod...")
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headers = get_auth_header()
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slug = re.sub(r'[^a-z0-9]+', '-', metadata["title"].lower()).strip('-')
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# Upload audio and create episode
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with open(audio_path, "rb") as f:
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files = {
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"audio_file": (Path(audio_path).name, f, "audio/mpeg")
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}
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data = {
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"title": metadata["title"],
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"slug": slug,
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"description": metadata["description"],
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"parental_advisory": "explicit",
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"type": "full",
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"podcast_id": str(PODCAST_ID),
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"created_by": "1",
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"updated_by": "1",
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"episode_number": str(episode_number),
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}
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response = requests.post(
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f"{CASTOPOD_URL}/api/rest/v1/episodes",
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headers=headers,
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files=files,
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data=data
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)
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if response.status_code not in (200, 201):
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print(f"Error creating episode: {response.status_code} {response.text}")
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sys.exit(1)
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episode = response.json()
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print(f" Created episode ID: {episode['id']}")
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print(f" Slug: {episode['slug']}")
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return episode
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def publish_episode(episode_id: int) -> dict:
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"""Publish the episode."""
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print("[4/5] Publishing episode...")
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headers = get_auth_header()
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response = requests.post(
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f"{CASTOPOD_URL}/api/rest/v1/episodes/{episode_id}/publish",
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headers=headers,
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data={
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"publication_method": "now",
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"created_by": "1"
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}
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)
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if response.status_code != 200:
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print(f"Error publishing: {response.text}")
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sys.exit(1)
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episode = response.json()
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published_at = episode.get("published_at", {})
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if isinstance(published_at, dict):
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print(f" Published at: {published_at.get('date', 'unknown')}")
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else:
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print(f" Published at: {published_at}")
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return episode
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def save_chapters(metadata: dict, output_path: str):
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"""Save chapters to JSON file."""
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chapters_data = {
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"version": "1.2.0",
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"chapters": metadata["chapters"]
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}
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with open(output_path, "w") as f:
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json.dump(chapters_data, f, indent=2)
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print(f" Chapters saved to: {output_path}")
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def run_ssh_command(command: str) -> tuple[bool, str]:
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"""Run a command on the NAS via SSH."""
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ssh_cmd = [
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"ssh", "-p", str(NAS_SSH_PORT),
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f"{NAS_USER}@{NAS_HOST}",
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command
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]
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try:
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result = subprocess.run(ssh_cmd, capture_output=True, text=True, timeout=30)
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return result.returncode == 0, result.stdout.strip() or result.stderr.strip()
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except subprocess.TimeoutExpired:
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return False, "SSH command timed out"
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except Exception as e:
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return False, str(e)
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def upload_chapters_to_castopod(episode_slug: str, episode_id: int, chapters_path: str) -> bool:
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"""Upload chapters file to Castopod via SSH and link in database."""
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print("[4.5/5] Uploading chapters to Castopod...")
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chapters_filename = f"{episode_slug}-chapters.json"
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remote_path = f"podcasts/{PODCAST_HANDLE}/{chapters_filename}"
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# Read local chapters file
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with open(chapters_path, "r") as f:
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chapters_content = f.read()
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# Base64 encode for safe transfer
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chapters_b64 = base64.b64encode(chapters_content.encode()).decode()
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# Upload file to container using base64 decode
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upload_cmd = f'echo "{chapters_b64}" | base64 -d | {DOCKER_PATH} exec -i {CASTOPOD_CONTAINER} tee /var/www/castopod/public/media/{remote_path} > /dev/null'
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success, output = run_ssh_command(upload_cmd)
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if not success:
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print(f" Warning: Failed to upload chapters file: {output}")
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return False
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# Get file size
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file_size = len(chapters_content)
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# Insert into media table
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insert_sql = f"""INSERT INTO cp_media (file_key, file_size, file_mimetype, type, uploaded_by, updated_by, uploaded_at, updated_at)
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VALUES ('{remote_path}', {file_size}, 'application/json', 'chapters', 1, 1, NOW(), NOW())"""
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db_cmd = f'{DOCKER_PATH} exec {MARIADB_CONTAINER} mysql -u {DB_USER} -p{DB_PASS} {DB_NAME} -e "{insert_sql}; SELECT LAST_INSERT_ID();"'
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success, output = run_ssh_command(db_cmd)
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if not success:
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print(f" Warning: Failed to insert chapters in database: {output}")
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return False
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# Parse media ID from output
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try:
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lines = output.strip().split('\n')
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media_id = int(lines[-1])
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except (ValueError, IndexError):
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print(f" Warning: Could not parse media ID from: {output}")
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return False
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# Link chapters to episode
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update_sql = f"UPDATE cp_episodes SET chapters_id = {media_id} WHERE id = {episode_id}"
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db_cmd = f'{DOCKER_PATH} exec {MARIADB_CONTAINER} mysql -u {DB_USER} -p{DB_PASS} {DB_NAME} -e "{update_sql}"'
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success, output = run_ssh_command(db_cmd)
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if not success:
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print(f" Warning: Failed to link chapters to episode: {output}")
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return False
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# Clear Castopod cache
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cache_cmd = f'{DOCKER_PATH} exec {CASTOPOD_CONTAINER} php spark cache:clear'
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run_ssh_command(cache_cmd)
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print(f" Chapters uploaded and linked (media_id: {media_id})")
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return True
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def get_next_episode_number() -> int:
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"""Get the next episode number from Castopod."""
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headers = get_auth_header()
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response = requests.get(
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f"{CASTOPOD_URL}/api/rest/v1/episodes",
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headers=headers
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)
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if response.status_code != 200:
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return 1
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episodes = response.json()
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if not episodes:
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return 1
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# Filter to our podcast
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our_episodes = [ep for ep in episodes if ep.get("podcast_id") == PODCAST_ID]
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if not our_episodes:
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return 1
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max_num = max(ep.get("number", 0) or 0 for ep in our_episodes)
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return max_num + 1
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def main():
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parser = argparse.ArgumentParser(description="Publish podcast episode to Castopod")
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parser.add_argument("audio_file", help="Path to the audio file (MP3)")
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parser.add_argument("--episode-number", "-n", type=int, help="Episode number (auto-detected if not provided)")
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parser.add_argument("--dry-run", "-d", action="store_true", help="Generate metadata but don't publish")
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parser.add_argument("--title", "-t", help="Override generated title")
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parser.add_argument("--description", help="Override generated description")
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parser.add_argument("--session-data", "-s", help="Path to session export JSON (from /api/session/export)")
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args = parser.parse_args()
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audio_path = Path(args.audio_file).expanduser().resolve()
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if not audio_path.exists():
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print(f"Error: Audio file not found: {audio_path}")
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sys.exit(1)
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# Determine episode number
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if args.episode_number:
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episode_number = args.episode_number
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else:
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episode_number = get_next_episode_number()
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print(f"Episode number: {episode_number}")
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# Load session data if provided
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session_data = None
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if args.session_data:
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session_path = Path(args.session_data).expanduser().resolve()
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if session_path.exists():
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with open(session_path) as f:
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session_data = json.load(f)
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print(f"Loaded session data: {session_data.get('call_count', 0)} calls")
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else:
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print(f"Warning: Session data file not found: {session_path}")
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# Step 1: Transcribe
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transcript = transcribe_audio(str(audio_path))
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# Step 2: Generate metadata
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metadata = generate_metadata(transcript, episode_number)
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# Use session chapters if available (more accurate than LLM-generated)
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if session_data and session_data.get("chapters"):
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metadata["chapters"] = session_data["chapters"]
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print(f" Using {len(metadata['chapters'])} chapters from session data")
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# Apply overrides
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if args.title:
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metadata["title"] = args.title
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if args.description:
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metadata["description"] = args.description
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# Save chapters file
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chapters_path = audio_path.with_suffix(".chapters.json")
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save_chapters(metadata, str(chapters_path))
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# Save transcript alongside episode if session data available
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if session_data and session_data.get("transcript"):
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transcript_path = audio_path.with_suffix(".transcript.txt")
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with open(transcript_path, "w") as f:
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f.write(session_data["transcript"])
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print(f" Transcript saved to: {transcript_path}")
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if args.dry_run:
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print("\n[DRY RUN] Would publish with:")
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print(f" Title: {metadata['title']}")
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print(f" Description: {metadata['description']}")
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print(f" Chapters: {json.dumps(metadata['chapters'], indent=2)}")
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print("\nChapters file saved. Run without --dry-run to publish.")
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return
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# Step 3: Create episode
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episode = create_episode(str(audio_path), metadata, episode_number)
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# Step 4: Publish
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episode = publish_episode(episode["id"])
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# Step 4.5: Upload chapters via SSH
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chapters_uploaded = upload_chapters_to_castopod(
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episode["slug"],
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episode["id"],
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str(chapters_path)
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)
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# Step 5: Summary
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print("\n[5/5] Done!")
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print("=" * 50)
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print(f"Episode URL: {CASTOPOD_URL}/@{PODCAST_HANDLE}/episodes/{episode['slug']}")
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print(f"RSS Feed: {CASTOPOD_URL}/@{PODCAST_HANDLE}/feed.xml")
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print("=" * 50)
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if not chapters_uploaded:
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print("\nNote: Chapters upload failed. Add manually via Castopod admin UI")
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print(f" Chapters file: {chapters_path}")
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if __name__ == "__main__":
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main()
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