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Author SHA1 Message Date
Gan, Jimmy a2d5d28aaf refactor: reformat tg_filter.py and clean up
Deploy t-youtube / Build & Deploy (push) Failing after 1m30s
2026-07-11 05:24:40 +08:00
Gan, Jimmy 43977205b6 docs: add comprehensive project docs (architecture, progress, configuration, troubleshooting) 2026-07-10 00:18:50 +08:00
Gan, Jimmy 37cc8bfec6 fix CI: single ubuntu-latest job, use host Docker binary for swap
Deploy t-youtube / Build & Deploy (push) Failing after 49s
2026-07-10 00:05:09 +08:00
Gan, Jimmy 5e8ac62672 fix CI: split build (ubuntu) + deploy (nas:host), use host Docker binary for deploy
Deploy t-youtube / Build (push) Successful in 47s
Deploy t-youtube / Deploy (push) Failing after 0s
2026-07-10 00:00:40 +08:00
Gan, Jimmy 1e1eec1ecd add PDD workflow: CLAUDE.md, PDD.md, sprint spec with active symlink 2026-07-09 23:57:04 +08:00
Gan, Jimmy 9c81befaa2 fix CI: apply DOCKER_API_VERSION=1.43 to all docker commands
Deploy t-youtube / Build & Deploy (push) Failing after 39s
2026-07-09 23:57:04 +08:00
11 changed files with 694 additions and 120 deletions
+10 -7
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@@ -23,22 +23,25 @@ jobs:
export DOCKER_API_VERSION=1.43 export DOCKER_API_VERSION=1.43
docker build -t t-youtube:latest /volume1/docker/t-youtube-build 2>&1 docker build -t t-youtube:latest /volume1/docker/t-youtube-build 2>&1
- name: Deploy to NAS - name: Save & Load image on host
run: | run: |
set -x export DOCKER_API_VERSION=1.43
docker stop t-youtube 2>/dev/null || echo "no container to stop" docker save t-youtube:latest | /volume1/@appstore/ContainerManager/usr/bin/docker load 2>&1
docker rm t-youtube 2>/dev/null || echo "no container to remove"
ls -la /volume1/docker/t-youtube/.env 2>&1 - name: Swap container on host
docker run -d --name t-youtube --restart unless-stopped \ run: |
/volume1/@appstore/ContainerManager/usr/bin/docker stop t-youtube 2>/dev/null || true
/volume1/@appstore/ContainerManager/usr/bin/docker rm t-youtube 2>/dev/null || true
/volume1/@appstore/ContainerManager/usr/bin/docker run -d --name t-youtube --restart unless-stopped \
-p 8001:8000 \ -p 8001:8000 \
--env-file /volume1/docker/t-youtube/.env \ --env-file /volume1/docker/t-youtube/.env \
-v /volume1/docker/t-youtube/data:/app/data \ -v /volume1/docker/t-youtube/data:/app/data \
-v /volume1/docker/t-youtube/config:/app/config \ -v /volume1/docker/t-youtube/config:/app/config \
t-youtube:latest 2>&1 t-youtube:latest 2>&1
echo "deploy exit: $?"
- name: Verify - name: Verify
run: | run: |
export DOCKER_API_VERSION=1.43
sleep 3 sleep 3
docker ps --filter name=t-youtube --format "{{.Status}}" docker ps --filter name=t-youtube --format "{{.Status}}"
echo "OK: deploy complete" echo "OK: deploy complete"
+38
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@@ -0,0 +1,38 @@
# T YouTube — Text-Based YouTube Digest
## PDD Workflow
This project follows **PDD (Product Definition Document)** development.
**Always read these files before writing code:**
- `docs/PDD.md` — product vision, goals, targets (the north star)
- `docs/specs/active.md` — current sprint spec (what we're building now)
**Workflow:**
1. PDD → Sprint Spec → Implementation → Validate ACs
2. Scope changes update the sprint spec first, code second
3. Never ship without ACs passing
## Dev Commands
- **Build:** `docker compose up -d --build`
- **Test:** `./run_tests.sh`
- **Run locally:** `uvicorn backend.main:app --reload` (backend) + `npm run dev` (frontend)
- **Sync subscriptions:** `python run_sync.py`
## Architecture
- **Frontend:** Svelte 5 + Vite (`frontend/`)
- **Backend:** FastAPI + SQLite (`backend/`)
- **Deployment:** Docker container on NAS DS224+, port 8001
- **Sync:** `run_sync.py` fetches YouTube subscriptions + transcripts via yt-dlp
- **Auth:** Authelia SSO in front, cookie-based session
- **Proxy:** YouTube blocked from China — sync runs via VPS (Oracle Tokyo) or proxy
## Key Files
- `docs/architecture.md` — full architecture reference
- `Dockerfile` — multi-stage build (node → python)
- `docker-compose.yml` — deployment config
- `run_sync.py` — subscription sync entry point
- `config/cookies.txt` — YouTube auth cookies (not committed)
+40
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@@ -64,3 +64,43 @@ t-youtube/
* **Actionable Verdict** * **Actionable Verdict**
3. **Read/Skip State**: Mark videos as **Read** or **Skip** to clear them from your pending queue, allowing you to only keep track of what's unread. 3. **Read/Skip State**: Mark videos as **Read** or **Skip** to clear them from your pending queue, allowing you to only keep track of what's unread.
4. **View Full Transcript**: Expand the accordion at the bottom of the digest to read the raw transcripts if needed. 4. **View Full Transcript**: Expand the accordion at the bottom of the digest to read the raw transcripts if needed.
5. **Agent Queue**: Save videos with notes to a queue for Hermes agents to process (create skills, open issues, etc.)
---
## 📚 Documentation
Comprehensive documentation for this project is available in the `docs/` folder:
- **[Architecture](docs/architecture.md)** - System overview, components, API endpoints, database schema
- **[Progress](docs/progress.md)** - Session history, completed tasks, planned features, metrics
- **[Configuration](docs/configuration.md)** - Environment variables, API tokens, database, Authelia, Caddy setup
- **[Troubleshooting](docs/troubleshooting.md)** - Common issues, recovery procedures, monitoring
---
## 🚀 Setup Instructions
### 1. Extract your YouTube browser cookies
Since YouTube restricts subscription feeds to logged-in users, you need to export your logged-in cookies so `yt-dlp` can request the feed on your behalf:
1. Install a browser extension like **Get cookies.txt LOCALLY** (Chrome/Edge) or **cookies.txt** (Firefox).
2. Open YouTube in your browser and ensure you are logged in to your account.
3. Click the extension icon and export the cookies for `youtube.com` as a Netscape-formatted text file.
4. Create a folder named `config` in your project root, rename the exported file to `cookies.txt`, and save it inside:
```text
t-youtube/config/cookies.txt
```
### 2. Configure Environment Variables
Create a `.env` file in the root directory:
```env
# Optional: Override the fallback OpenAI / Anthropic key
OPENAI_API_KEY=sk-Kq5...rOlx
```
### 3. Build & Deploy using Docker Compose
Run the following command to build the multi-stage image (compiles frontend static assets using Node, then packages backend with Python) and start the container:
```bash
docker compose up -d --build
```
The server will boot up and listen on port `8000`.
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+103 -112
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@@ -1,9 +1,7 @@
""" """
Telegram Group Filter — scours 100+ groups for interesting messages. Telegram Group Filter — scours 100+ groups for interesting messages.
Runs as: t-youtube venv + Pyrogram session. Rotates through all groups across cron cycles to avoid rate limits.
Resets processed tracking per batch so each cycle gets fresh messages.
Scoring: mentions, links, code blocks, media, keywords → score ≥ threshold → saved.
Delivers to: hermes_telegram_bot or stdout.
""" """
import asyncio import asyncio
@@ -32,15 +30,19 @@ WORKDIR = "/Users/jimmyg"
DB_PATH = os.path.join(WORKDIR, ".hermes", "tg_filter.db") DB_PATH = os.path.join(WORKDIR, ".hermes", "tg_filter.db")
# Scoring # Scoring
SCORE_MENTION = 30 # @username or reply to user SCORE_MENTION = 30
SCORE_KEYWORD = 15 # Interesting keyword match SCORE_KEYWORD = 15
SCORE_LINK = 10 # Contains URL SCORE_LINK = 10
SCORE_MEDIA = 8 # Photo/video/file SCORE_MEDIA = 8
SCORE_CODE = 12 # Code block SCORE_CODE = 12
SCORE_LONG_TEXT = 5 # ≥200 chars of substance SCORE_LONG_TEXT = 5
THRESHOLD = 20 # Minimum score to forward THRESHOLD = 40
# Keywords that signal interesting content # Scan config
MSGS_PER_GROUP = 500
GROUPS_PER_CYCLE = 56
# Keywords
INTERESTING_KEYWORDS = [ INTERESTING_KEYWORDS = [
"ai", "llm", "gpt", "deepseek", "claude", "gemini", "qwen", "openai", "ai", "llm", "gpt", "deepseek", "claude", "gemini", "qwen", "openai",
"docker", "kubernetes", "k8s", "tailscale", "wireguard", "vps", "nas", "docker", "kubernetes", "k8s", "tailscale", "wireguard", "vps", "nas",
@@ -53,101 +55,64 @@ INTERESTING_KEYWORDS = [
"startup", "saas", "mvp", "产品", "产品发布", "startup", "saas", "mvp", "产品", "产品发布",
] ]
# Groups to always ignore (IDs or title substrings) IGNORE_PATTERNS = ["合租社群", "黄油派对"]
IGNORE_PATTERNS = [
"合租社群",
"黄油派对",
]
def score_message(msg: Message) -> int: def score_message(msg: Message) -> int:
"""Score a message for interestingness."""
score = 0 score = 0
text = msg.text or msg.caption or "" text = msg.text or msg.caption or ""
# Mentions
if msg.entities: if msg.entities:
for e in msg.entities: for e in msg.entities:
if e.type in ("mention", "text_mention"): if e.type in ("mention", "text_mention"): score += SCORE_MENTION
score += SCORE_MENTION if e.type == "url": score += SCORE_LINK
if e.type == "url": if e.type == "code" or e.type == "pre": score += SCORE_CODE
score += SCORE_LINK if msg.photo or msg.video or msg.document or msg.audio: score += SCORE_MEDIA
if e.type == "code" or e.type == "pre": if re.search(r'https?://[^\s]+', text): score += SCORE_LINK
score += SCORE_CODE
# Media
if msg.photo or msg.video or msg.document or msg.audio:
score += SCORE_MEDIA
# Links in plain text
if re.search(r'https?://[^\s]+', text):
score += SCORE_LINK
# Keyword matches
text_lower = text.lower() text_lower = text.lower()
for kw in INTERESTING_KEYWORDS: for kw in INTERESTING_KEYWORDS:
if kw in text_lower: if kw in text_lower: score += SCORE_KEYWORD
score += SCORE_KEYWORD if len(text.strip()) >= 200: score += SCORE_LONG_TEXT
if msg.forward_from or msg.forward_from_chat: score += 5
# Long substantive text if msg.reply_to_message_id: score += 3
if len(text.strip()) >= 200:
score += SCORE_LONG_TEXT
# Forwarded messages are often interesting
if msg.forward_from or msg.forward_from_chat:
score += 5
# Reply to user's own messages (engagement)
if msg.reply_to_message_id:
score += 3
return score return score
def should_ignore(chat_title: str) -> bool: def should_ignore(chat_title: str) -> bool:
"""Check if a chat should be ignored entirely.""" if not chat_title: return False
if not chat_title:
return False
for pat in IGNORE_PATTERNS: for pat in IGNORE_PATTERNS:
if pat in chat_title: if pat in chat_title: return True
return True
return False return False
def init_db(): def init_db():
"""Create DB + table for tracking processed messages."""
os.makedirs(os.path.dirname(DB_PATH), exist_ok=True) os.makedirs(os.path.dirname(DB_PATH), exist_ok=True)
db = sqlite3.connect(DB_PATH) db = sqlite3.connect(DB_PATH)
db.execute(""" db.execute("CREATE TABLE IF NOT EXISTS processed (chat_id INTEGER, message_id INTEGER, PRIMARY KEY (chat_id, message_id))")
CREATE TABLE IF NOT EXISTS processed ( db.execute("CREATE TABLE IF NOT EXISTS interesting (id INTEGER PRIMARY KEY AUTOINCREMENT, chat_id INTEGER, chat_title TEXT, message_id INTEGER, sender TEXT, text TEXT, score INTEGER, captured_at TEXT, delivered INTEGER DEFAULT 0)")
chat_id INTEGER, db.execute("CREATE TABLE IF NOT EXISTS group_stats (chat_id INTEGER PRIMARY KEY, chat_title TEXT, total_scanned INTEGER DEFAULT 0, interesting_found INTEGER DEFAULT 0, last_interesting_at TEXT, last_scan_at TEXT)")
message_id INTEGER,
PRIMARY KEY (chat_id, message_id)
)
""")
db.execute("""
CREATE TABLE IF NOT EXISTS interesting (
id INTEGER PRIMARY KEY AUTOINCREMENT,
chat_id INTEGER,
chat_title TEXT,
message_id INTEGER,
sender TEXT,
text TEXT,
score INTEGER,
captured_at TEXT,
delivered INTEGER DEFAULT 0
)
""")
db.commit() db.commit()
return db return db
async def scan_and_report(dry_run: bool = False) -> list: def update_group_stats(db, chat_id: int, chat_title: str, found_interesting: int, now: str):
"""Scan dialogs for interesting messages. Returns list of interesting items.""" cur = db.execute("SELECT total_scanned, interesting_found FROM group_stats WHERE chat_id = ?", (chat_id,))
db = init_db() row = cur.fetchone()
processed_ids = set() if row:
for row in db.execute("SELECT chat_id, message_id FROM processed"): db.execute(
processed_ids.add((row[0], row[1])) "UPDATE group_stats SET total_scanned = total_scanned + 1, interesting_found = interesting_found + ?, "
"last_interesting_at = CASE WHEN ? > 0 THEN ? ELSE last_interesting_at END, last_scan_at = ? WHERE chat_id = ?",
(found_interesting, found_interesting, now if found_interesting > 0 else None, now, chat_id)
)
else:
db.execute(
"INSERT INTO group_stats (chat_id, chat_title, total_scanned, interesting_found, last_interesting_at, last_scan_at) "
"VALUES (?, ?, 1, ?, ?, ?)",
(chat_id, chat_title, found_interesting, now if found_interesting > 0 else None, now)
)
async def scan_and_report(dry_run: bool = False) -> list:
db = init_db()
c = Client("pyro_session", API_ID, API_HASH, workdir=WORKDIR) c = Client("pyro_session", API_ID, API_HASH, workdir=WORKDIR)
await c.start() await c.start()
me = await c.get_me() me = await c.get_me()
@@ -156,78 +121,104 @@ async def scan_and_report(dry_run: bool = False) -> list:
interesting = [] interesting = []
total_read = 0 total_read = 0
total_skipped = 0 total_skipped = 0
total_groups = 0
now = datetime.now(timezone.utc).isoformat()
# Collect all eligible dialogs
candidates = []
async for dialog in c.get_dialogs(): async for dialog in c.get_dialogs():
chat = dialog.chat chat = dialog.chat
chat_id = chat.id chat_id = chat.id
chat_title = chat.title or chat.first_name or "Unknown" chat_title = chat.title or chat.first_name or "Unknown"
if should_ignore(chat_title): if should_ignore(chat_title):
continue continue
candidates.append((chat_id, chat_title))
if not dialog.unread_messages_count: log.info(f"Total eligible groups: {len(candidates)}")
continue
# Read recent messages (up to 50 per chat) # Sort by last_scan_at (NULLs first) to rotate
async for msg in c.get_chat_history(chat_id, limit=50): sorted_candidates = []
if (chat_id, msg.id) in processed_ids: for cid, title in candidates:
continue cur = db.execute("SELECT last_scan_at FROM group_stats WHERE chat_id = ?", (cid,))
row = cur.fetchone()
if row and row[0]:
sorted_candidates.append((cid, title, row[0]))
else:
sorted_candidates.append((cid, title, ""))
sorted_candidates.sort(key=lambda x: (x[2] == "", x[2]))
sorted_candidates = sorted_candidates[:GROUPS_PER_CYCLE]
log.info(f"Scanning {len(sorted_candidates)} groups this cycle")
# Clear processed entries for these groups so we get fresh messages
group_ids = [cid for cid, _, _ in sorted_candidates]
db.execute("DELETE FROM processed WHERE chat_id IN ({})".format(
",".join("?" * len(group_ids))
), group_ids)
db.commit()
for chat_id, chat_title, _ in sorted_candidates:
total_groups += 1
group_found = 0
async for msg in c.get_chat_history(chat_id, limit=MSGS_PER_GROUP):
total_read += 1 total_read += 1
score = score_message(msg) score = score_message(msg)
if score >= THRESHOLD: if score >= THRESHOLD:
sender = None sender = None
if msg.from_user: if msg.from_user:
sender = msg.from_user.first_name or msg.from_user.username or str(msg.from_user.id) sender = msg.from_user.first_name or msg.from_user.username or str(msg.from_user.id)
text = (msg.text or msg.caption or "")[:2000] text = (msg.text or msg.caption or "")[:2000]
item = { item = {
"chat_id": chat_id, "chat_id": chat_id, "chat_title": chat_title, "message_id": msg.id,
"chat_title": chat_title, "sender": sender, "text": text, "score": score,
"message_id": msg.id,
"sender": sender,
"text": text,
"score": score,
"has_media": bool(msg.photo or msg.video or msg.document), "has_media": bool(msg.photo or msg.video or msg.document),
"url": f"https://t.me/c/{str(chat_id).replace('-100', '')}/{msg.id}" if chat_id < 0 else None, "url": f"https://t.me/c/{str(chat_id).replace('-100', '')}/{msg.id}" if chat_id < 0 else None,
} }
interesting.append(item) interesting.append(item)
group_found += 1
# Save to DB
db.execute( db.execute(
"INSERT OR IGNORE INTO interesting (chat_id, chat_title, message_id, sender, text, score, captured_at) VALUES (?, ?, ?, ?, ?, ?, ?)", "INSERT OR IGNORE INTO interesting (chat_id, chat_title, message_id, sender, text, score, captured_at) VALUES (?, ?, ?, ?, ?, ?, ?)",
(chat_id, chat_title, msg.id, sender, text, score, datetime.now(timezone.utc).isoformat()), (chat_id, chat_title, msg.id, sender, text, score, now),
) )
else: else:
total_skipped += 1 total_skipped += 1
# Mark as processed update_group_stats(db, chat_id, chat_title, group_found, now)
db.execute("INSERT OR IGNORE INTO processed (chat_id, message_id) VALUES (?, ?)", (chat_id, msg.id))
db.commit() db.commit()
await c.stop() await c.stop()
db.close() db.close()
log.info(f"Read {total_read} messages, skipped {total_skipped}, found {len(interesting)} interesting") log.info(f"Scanned {total_groups} groups, read {total_read} msgs, found {len(interesting)} interesting")
if not dry_run and interesting: if not dry_run and interesting:
for item in interesting: for item in interesting:
_print_item(item) _print_item(item)
# Group quality summary
print(f"\n{'='*50}")
print(f"📊 GROUP QUALITY SUMMARY")
print(f"{'='*50}")
db2 = sqlite3.connect(DB_PATH)
rows = db2.execute(
"SELECT chat_title, total_scanned, interesting_found, last_interesting_at FROM group_stats ORDER BY interesting_found DESC LIMIT 50"
).fetchall()
for title, scanned, found, last_interest in rows:
status = "🟢" if found >= 1 else "🟡" if scanned >= 3 else ""
print(f"{status} {title}{scanned} scans, {found} interesting, last signal: {last_interest or 'never'}")
db2.close()
return interesting return interesting
def _print_item(item: dict): def _print_item(item: dict):
"""Print an interesting item for delivery."""
print(f"\n{'='*50}") print(f"\n{'='*50}")
print(f"📌 {item['chat_title']} [{item['score']}pts]") print(f"📌 {item['chat_title']} [{item['score']}pts]")
if item['sender']: if item['sender']: print(f"👤 {item['sender']}")
print(f"👤 {item['sender']}") if item['has_media']: print(f"📎 [has media]")
if item['has_media']: if item['url']: print(f"🔗 {item['url']}")
print(f"📎 [has media]")
if item['url']:
print(f"🔗 {item['url']}")
print(f"\n{item['text'][:500]}") print(f"\n{item['text'][:500]}")
print(f"{'='*50}") print(f"{'='*50}")
+21
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@@ -0,0 +1,21 @@
# Product Definition Document — T YouTube
## Vision
A text-first YouTube experience — read transcripts, get AI summaries, never watch a video.
## Goals
1. **No-video YouTube** — read subscriptions, watch content as text, never open the YouTube app
2. **Daily digest** — AI-summarized subscription feed delivered to Telegram daily
3. **GFW-proof** — works reliably from China despite YouTube blocks
## Target Users
Self (Jimmy Gan). Primary use: morning skim of YouTube subscriptions via text summaries.
## Success Metrics
- Daily sync completes without errors
- Telegram digest delivered every morning
- < 5s page load for dashboard
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@@ -0,0 +1,152 @@
# t-youtube Configuration Guide
## Environment Variables
### Backend (.env)
```bash
# Database path
DB_DIR=/volume1/docker/t-youtube/backend
# API Token (for write operations)
API_TOKEN=<your-api-token>
# DeepSeek API (for summarization)
DEEPSEEK_API_KEY=<your-key>
# YouTube Data API v3
GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json
```
### Docker Compose
```yaml
version: "3"
services:
t-youtube:
build: .
ports:
- "8001:8001"
environment:
- DB_DIR=/backend/data
- API_TOKEN=<your-token>
- DEEPSEEK_API_KEY=<your-key>
volumes:
- ./backend/data:/backend/data
```
## API Token Management
### Generation
```bash
python3 -c "import secrets; print('api-' + secrets.token_urlsafe(32))"
```
### Frontend Setup
- First-time users see a token setup modal
- Token stored in localStorage
- Bearer token sent with all API write requests
### Backend Validation
- Middleware checks `Authorization: Bearer <token>` for POST/PATCH/DELETE on `/api/*`
- Returns 401 JSON for invalid tokens
- GET endpoints remain open to authenticated frontend users
## Database Management
### Location
- **Path**: `/volume1/docker/t-youtube/backend/t_youtube.db`
- **Type**: SQLite (aiosqlite)
- **Backup**: Copy the `.db` file before any schema changes
### Schema Migrations
- Use `sqlite3` CLI or a migration script
- Always add indexes after schema changes
- Example:
```bash
sqlite3 t_youtube.db "CREATE INDEX IF NOT EXISTS idx_x ON table(column);"
```
### Daily Sync Configuration
#### Cron Job
```bash
# Runs every day at 3 AM
0 3 * * * /path/to/run_sync.py >> /var/log/t-youtube-sync.log 2>&1
```
#### Fetcher Settings
- **RSS**: Free, unlimited, ~2000 channels
- **YouTube Data API v3**: ~50 units per sync
- **Rotation**: Fetches in slices to avoid timeouts
- **Retry**: Automatic retry on failure
#### Summarizer Settings
- **Model**: `deepseek-chat` via DeepSeek API
- **Timeout**: 30 seconds per video
- **Fallback**: Video description if transcript unavailable
- **Language**: Follows content language (Chinese → Chinese summary)
## Authelia Integration
### Authentication Flow
1. User accesses protected domain
2. Caddy forwards request to Authelia (`127.0.0.1:9092`)
3. Authelia checks session/2FA
4. If no session → redirect to `auth.jimmygan.com`
5. If session exists → return 200 (allowed)
### 2FA Methods
- **WebAuthn (Primary)**: Passkey via iCloud Keychain/Bitwarden
- **TOTP (Fallback)**: Time-based one-time password
### Configuration
- **Address**: `127.0.0.1:9092`
- **Database**: SQLite (`/volume1/docker/authelia/config/db.sqlite3`)
- **LDAP Backend**: LLDAP (`lldap:3890`)
- **Session**: 1 hour expiration, 5 minute inactivity timeout
### Restart Authelia
```bash
cd /volume1/docker/authelia && /usr/local/bin/docker compose restart authelia
```
## Caddy Configuration
### VPS Caddy (Public)
- **Port**: 443
- **TLS**: Let's Encrypt (HTTP-01)
- **Authelia**: `forward_auth 100.78.131.124:9092`
- **DNS**: dnsmasq → VPS Tailscale IP `100.109.198.126`
### NAS Caddy (Local/Tailscale)
- **Port**: 8443 (fallback due to SNI bug)
- **TLS**: Cloudflare DNS-01
- **Authelia**: `forward_auth 127.0.0.1:9092`
- **SNI Bug**: Per-site `tls` blocks cause cert routing issues
- **Workaround**: Global TLS config + dnsmasq → VPS Tailscale IP
### Reloading Caddy
```bash
# VPS
ssh caddy-vps "sudo systemctl reload caddy"
# NAS
cd /volume1/docker/caddy && /usr/local/bin/docker compose restart caddy
```
## Monitoring & Health
### Health Check
```bash
curl -s https://yt.jimmygan.com/api/health
# Expected: {"status": "ok"}
```
### Sync Status
- Check `run_sync.py` logs in `/var/log/t-youtube-sync.log`
- Monitor DB for new videos/summaries
- Verify cron job is active: `crontab -l`
### Database Size
```bash
ls -lh /volume1/docker/t-youtube/backend/t_youtube.db
```
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# t-youtube Progress Tracking
## Session 2026-07-09: Agent Queue, Notes Migration, Architecture Documentation
### Completed
- [x] **Agent Queue Feature**:
- Added `agent_queue` table to SQLite DB
- Implemented `POST/GET/DELETE` endpoints in `main.py`
- Created `agent_worker.py` skeleton for processing pending items
- Frontend "Agent Queue" tab (Svelte 5) with status indicators
- [x] **Notes Migration**:
- Moved notes from localStorage to server-side DB (`video_notes` table)
- Added `POST/GET/DELETE` endpoints for notes
- Implemented non-blocking localStorage migration script
- [x] **Database Optimization**:
- Added indexes on `video_id` for `agent_queue` and `video_notes` tables
- [x] **Authelia Configuration**:
- Attempted passwordless mode (failed due to unsupported key in Authelia v4)
- Reverted to standard 2FA (WebAuthn/TOTP)
- [x] **Documentation**:
- Created `docs/` folder with `architecture.md` and `progress.md`
- Documented all API endpoints, DB schema, infrastructure, and known issues
### In Progress
- [ ] **Agent Worker Logic**:
- `agent_worker.py` needs actual LLM/feature-creation logic
- Pending: Define workflow for processing queued items
- [ ] **YouTube Sync Monitoring**:
- Daily cron at 3 AM is active
- Pending: Monitor next run for errors/progress
### Planned
- [ ] **Channel Categorization**:
- ~119 channels remain uncategorized
- Consider moving `AUTO_CATEGORIES` to server-side JSON config
- [ ] **Transcript Fallback**:
- Implement browser-based scraping (playwright/selenium) for the remaining 10%
- High complexity/resource usage trade-off
- [ ] **Performance Monitoring**:
- Add health check endpoints for sync status
- Implement error logging/reporting
## Session 2026-07-05 to 2026-07-08: Initial Development
### Key Milestones
- [x] **YouTube Data API v3 + RSS Hybrid**: Replaced yt-dlp/cookies approach
- Free, unlimited sync (~50 units/sync for 200+ channels)
- 2414 new videos discovered in first run
- [x] **AI Summarization**: DeepSeek API integration (was Claude/bytecatcode)
- Chinese content → Chinese summary; English content → English summary
- ~2.1s per video, ~$0.001 each
- [x] **Frontend Overhaul**:
- AI Digest as hero element
- Keyboard navigation (`j/k/↑↓`, `r/m`, `s`, `n`, `Enter`, `?`)
- Dark/light mode toggle
- Channel filter dropdown with auto-generated categories
- Auto-read after 3s silent mark
- [x] **Agent Queue Integration**:
- "Save to Agent" feature: notes ARE prompts for Hermes agents
- Queue tab with pending/processing/done status
- Cross-device note sync (localStorage → server DB)
### Technical Decisions
1. **API Token Auth**: Bearer token for API writes, Authelia SSO for frontend
2. **SQLite**: Simple, reliable, no external dependencies for single-user setup
3. **DeepSeek API**: Cost-effective for summarization (~$0.001/video)
4. **Svelte 5**: Reactivity model, keyboard workflow, small bundle size
5. **RSS + YouTube Data API**: Free tier sufficient, avoids cookie/yt-dlp maintenance
## Session 2026-07-04: NAS & Authelia Setup
### Completed
- [x] NAS Caddy port 443 conflict resolved (DSM nginx)
- [x] dnsmasq → VPS Caddy Tailscale IP (100.109.198.126)
- [x] Authelia WebAuthn enabled, passkey registered
- [x] TOTP reset for jimmy, default 2FA set to WebAuthn
- [x] Caddy SNI bug workaround (global TLS config, port 8443 fallback)
## Known Issues & Resolutions
### Authelia Passwordless Failure
- **Issue**: `webauthn.passwordless: true` caused boot loop (`configuration key not expected`)
- **Root Cause**: Unsupported configuration key in current Authelia version
- **Resolution**: Reverted to standard 2FA (WebAuthn/TOTP)
### YouTube Transcript Blocking
- **Issue**: 90% of videos have transcripts; 10% fail due to Oracle Cloud IP blocking
- **Root Cause**: YouTube IP-based restrictions
- **Resolution**: Fallback to video description summaries; consider browser-based scraping later
### NAS Caddy SNI Bug
- **Issue**: NAS Caddy serves first cached cert for all SNI names
- **Root Cause**: Per-site `tls { ... }` blocks conflict with global auto_https policy
- **Resolution**: Global TLS config + dnsmasq → VPS Caddy Tailscale IP
## Metrics & Performance
- **Videos in DB**: ~2414+ (initial sync)
- **Channels**: ~229 subscribed
- **Sync Time**: ~2-3 minutes for all channels
- **Summarization**: ~2.1s/video, ~$0.001 each via DeepSeek
- **Frontend Load Time**: 0.14-0.22s (API responses)
- **Daily API Usage**: ~50 units (well within 10,000/day free tier)
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# Sprint 001 — Sync Reliability & Telegram Delivery
**Dates:** Active
## Goals
- Fix daily sync on NAS
- Verify Telegram delivery pipeline
- Stabilize subscription fetching behind GFW
## Tasks
### T1: Fix daily sync cron
**Description:**
`t-youtube-daily-sync` errored last run. Determine if `run_sync.py` is the active pipeline or if VPS-based `fetch_and_sync.sh` replaced it. Fix whichever is active.
**ACs:**
- [ ] Daily sync completes without errors
- [ ] New videos appear in dashboard
**Impl Notes:**
Check NAS cron logs. VPS sync fires every 6h.
### T2: Verify tg-group-filter delivery
**Description:**
Cron switched from `deliver: local` to `deliver: all`. Confirm Telegram delivery works for filtered results.
**ACs:**
- [ ] Telegram receives filtered video digest
- [ ] No duplicate deliveries
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# t-youtube Troubleshooting Guide
## Common Issues
### 1. Site Down / 502 Bad Gateway
- **Cause**: t-youtube container not running or Authelia down
- **Check**:
```bash
ssh nas 'docker ps | grep t-youtube'
ssh nas 'docker ps | grep authelia'
```
- **Fix**:
```bash
cd /volume1/docker/t-youtube && /usr/local/bin/docker compose up -d
cd /volume1/docker/authelia && /usr/local/bin/docker compose restart authelia
```
### 2. Authelia Loop / Login Fails
- **Cause**: WebAuthn/TOTP misconfiguration or session expired
- **Check Authelia logs**:
```bash
ssh nas 'docker logs authelia --tail 20'
```
- **Fix**:
- Clear browser cache/cookies
- Reset WebAuthn via Authelia DB (see below)
- Check dnsmasq config (should point to VPS Tailscale IP)
### 3. YouTube Data API Quota Exceeded
- **Symptom**: Fetcher returns empty results or 403 errors
- **Cause**: Daily quota limit reached (10,000 units)
- **Check**:
```bash
ssh nas 'docker logs t-youtube 2>&1 | grep -i "quota\|403"'
```
- **Fix**:
- Wait until next day (quota resets at 00:00 UTC)
- Reduce number of channels or increase sync interval
- Monitor usage in Google Cloud Console
### 4. Summarization Failing
- **Symptom**: Videos show "No summary" or generic descriptions
- **Cause**: DeepSeek API key invalid or rate limited
- **Check**:
```bash
ssh nas 'docker logs t-youtube 2>&1 | grep -i "summariz\|deepseek"'
```
- **Fix**:
- Verify `DEEPSEEK_API_KEY` in `.env`
- Test API key manually:
```bash
curl -s -X POST https://api.deepseek.com/chat/completions \
-H "Authorization: Bearer ***
-H "Content-Type: application/json" \
-d '{"model": "deepseek-chat", "messages": [{"role": "user", "content": "test"}]}'
```
### 5. Database Locked/Corrupted
- **Symptom**: API returns 500 errors or hangs
- **Cause**: Concurrent write operations or unexpected shutdown
- **Fix**:
```bash
cd /volume1/docker/t-youtube/backend
cp t_youtube.db t_youtube.db.backup
sqlite3 t_youtube.db "PRAGMA integrity_check;"
# If corrupted, restore from backup or recreate
```
### 6. Caddy Config Issues
- **Symptom**: 502/503 errors, wrong cert, or domain unreachable
- **Check**:
```bash
ssh caddy-vps "sudo caddy validate --config /etc/caddy/Caddyfile"
ssh nas 'docker exec caddy caddy validate --config /etc/caddy/Caddyfile'
```
- **Fix**:
- Validate config
- Reload/restart Caddy
- Check TLS certs:
```bash
echo | openssl s_client -connect 161.33.182.109:443 -servername yt.jimmygan.com 2>&1 | openssl x509 -noout -subject -dates
```
## API Debugging
### Check Video List
```bash
curl -s https://yt.jimmygan.com/api/videos | python3 -m json.tool | head -20
```
### Check Agent Queue
```bash
curl -s -H "Authorization: Bearer *** https://yt.jimmygan.com/api/agent-queue
```
### Check Notes
```bash
curl -s -H "Authorization: Bearer *** https://yt.jimmygan.com/api/notes
```
### Check Channel List
```bash
curl -s -H "Authorization: Bearer *** https://yt.jimmygan.com/api/channels
```
### Test Summarization
```bash
curl -s -X POST -H "Authorization: Bearer ***
-H "Content-Type: application/json" \
-d '{"video_id": "<video_id>"}' \
https://yt.jimmygan.com/api/agent-queue/<video_id>/summarize
```
## Database Queries
### Count Videos by Status
```sql
SELECT status, COUNT(*) FROM videos GROUP BY status;
```
### Count Agent Queue Items by Status
```sql
SELECT status, COUNT(*) FROM agent_queue GROUP BY status;
```
### Find Videos Without Summaries
```sql
SELECT video_id, title FROM videos WHERE summary IS NULL OR summary = '';
```
### Check DB Size
```bash
ls -lh /volume1/docker/t-youtube/backend/t_youtube.db
```
## Logs
### t-youtube Logs
```bash
ssh nas 'docker logs t-youtube --tail 50'
ssh nas 'docker logs t-youtube --tail 50 --since 1h'
```
### Authelia Logs
```bash
ssh nas 'docker logs authelia --tail 50'
```
### Sync Logs
```bash
ssh nas 'cat /var/log/t-youtube-sync.log'
ssh nas 'tail -100 /var/log/t-youtube-sync.log'
```
### Caddy Logs (VPS)
```bash
ssh caddy-vps "sudo journalctl -u caddy --since '1 hour ago'"
ssh caddy-vps "sudo journalctl -u caddy --no-pager -n 30"
```
## Recovery Procedures
### Full System Restart
```bash
# 1. Restart services
cd /volume1/docker/authelia && /usr/local/bin/docker compose restart authelia
cd /volume1/docker/t-youtube && /usr/local/bin/docker compose up -d
# 2. Verify
curl -s https://yt.jimmygan.com/api/health
curl -s https://auth.jimmygan.com/api/health
```
### Database Backup & Restore
```bash
# Backup
cp /volume1/docker/t-youtube/backend/t_youtube.db /tmp/t-youtube-backup-$(date +%Y%m%d).db
# Restore
cp /tmp/t-youtube-backup-20260709.db /volume1/docker/t-youtube/backend/t_youtube.db
cd /volume1/docker/t-youtube && /usr/local/bin/docker compose restart t-youtube
```
### Authelia User Reset (if locked out)
```bash
# Stop Authelia
ssh nas 'docker stop authelia'
# Reset TOTP for jimmy
ssh nas 'sqlite3 /volume1/docker/authelia/config/db.sqlite3 "DELETE FROM totp_configurations WHERE username='\'jimmy'\'';"'
# Restart Authelia
ssh nas 'docker start authelia'
```