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Llama Chile Shop
2025-07-23 11:52:09 -07:00
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# OpenAI and social integrations
OPENAI_API_KEY=your-openai-api-key-here
YOUTUBE_API_CLIENT_ID=your-client-id
YOUTUBE_API_CLIENT_SECRET=your-client-secret
MASTODON_ACCESS_TOKEN=your-mastodon-token
BLUESKY_HANDLE=llamachileshop.bsky.social
BLUESKY_APP_PASSWORD=your-bluesky-password

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*.py linguist-language=Python
*.md text
*.mp4 binary

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# Byte-compiled / cache
__pycache__/
*.py[cod]
*.pyo
*.pyd
# Virtual environment
.venv/
env/
venv/
# VS Code settings
.vscode/
# OS files
.DS_Store
Thumbs.db
# Tokens and API keys
.env
token.pickle
token.zip
token (2).zip
# Build artifacts
*.mp4
*.mov
*.mp3
*.zip
*.odt
# Logs
logs/
*.log
# Assets not for versioning
assets/*.mp4
assets/*.mp3
assets/*.png
assets/*.otf
# Processed data
202*/**/rendered/
202*/**/*.mp4

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This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

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# Llama Chile Shop Video Automation Pipeline
This project automates the rendering, branding, and publishing of Fortnite gameplay clips for YouTube and PeerTube.
## Features
- Auto-detection of new stream folders
- Dynamic title card overlay
- Automated rendering and social post generation
- Vertical & widescreen output
## Setup
1. Clone the repo.
2. Create a `.env` file (see `ENVIRONMENT.md` for required keys).
3. Install dependencies:
```bash
pip install -r requirements.txt

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Initial Version: July 4, 2025
Hi!
This directory is used to store clips, downloaded from eklipse.gg, into directories of the format: YYYY.MM.DD
Within these directories will be at least one of the following subdirectories:
-- hits/
-- misses/
-- montages/
-- outtakes/
The outtakes/ directory will be, for the time being, the only directory that is manually processed making production-level videos ready for publication to LCS social destinations.
/n the event of multiple streams during the same date, you can add an integer value (2-99) on your end that will track up to 99 sessions in a directory assuming the parent directory without an integer is the first streaming event for that date: YYYY.MM.DD{.NN} where NN is an integer[2-99] inclusive.
Polished and branded videos that are produced by AI will be stored in a subdirectory:
-- rendered/ # this directory stores branded, completed, videos
Within this directory, if generated, videos will be stored under the same sub-directory names (hits/, misses/, etc.) from where they were sourced.
Another directory used by the system will be:
-- assets # this directory contains the completed (stock) intro and outro mp4 files
Completed videos will be rendered in wide-screeen (1080p) and vertical (Shorts format) resolutions.

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# 📦 Assets Directory
This folder contains binary assets required by the video rendering pipeline.
> These files are NOT included in this repository due to their large size.
## Required Files
| Filename | Purpose |
|------------------------------|------------------------------|
| `intro-wide-60fps.mp4` | Widescreen intro video |
| `intro-vertical-60fps.mp4` | Vertical intro video |
| `outro-wide-60fps.mp4` | Widescreen outro video |
| `outro-vertical-60fps.mp4` | Vertical outro video |
| `BurbankBigCondensed-Black.otf` | Fortnite-style branding font |
| `LlamaLlama.png` | Branding logo |
| `The_Llama_Song.mp3` | Background music (optional) |
## Instructions
You must manually place these files in this folder using **exact filenames** listed above.
You can export them from your working environment, or contact the project maintainer.

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import os
import sys
# Automatically locate this file's directory (e.g., \\chong\LCS\Videos\eklipse)
project_root = os.path.dirname(os.path.abspath(__file__))
modules_dir = os.path.join(project_root, "modules")
# Add modules directory to the Python path
sys.path.insert(0, modules_dir)
# Change working directory so relative paths (like client_secrets.json) resolve
os.chdir(modules_dir)
# Import from yt_poster in modules
from yt_poster import authenticate_youtube
# Run the OAuth flow
print("🔐 Starting YouTube OAuth authorization...")
try:
service = authenticate_youtube()
print("✅ YouTube authorization complete.")
except Exception as e:
print(f"❌ Authorization failed: {e}")

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{
"version": "0.2.0",
"configurations": [
{
"name": "🐍 Debug LCS Pipeline",
"type": "python",
"request": "launch",
"program": "${workspaceFolder}/main.py",
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONPATH": "${workspaceFolder}"
},
"cwd": "${workspaceFolder}",
"args": [
// You can pass specific stream directories here if needed
// Example: "Z:\\2025.06.20"
]
}
]
}

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import sys
import subprocess
from pathlib import Path
from datetime import datetime
from modules.config import (
INTRO_WIDE_PATH,
INTRO_VERTICAL_PATH,
OUTRO_WIDE_PATH,
OUTRO_VERTICAL_PATH,
THEME_MUSIC_PATH,
FONT_PATH,
NAS_MOUNT_ROOT
)
from modules.date_utils import parse_stream_date
from modules.title_utils import (
generate_title_overlay,
format_overlay_text,
generate_montage_title,
generate_output_filename,
extract_session_metadata
)
from modules.render_engine import render_montage_clip
def scan_for_montage_clips(nas_root: Path) -> list[Path]:
"""Scan the NAS for montage clips to process."""
montage_clips = []
for session_dir in nas_root.iterdir():
if not session_dir.is_dir():
continue
montage_dir = session_dir / "montages"
if not montage_dir.exists():
continue
for file in montage_dir.glob("*.mp4"):
if file.name.lower() != "title_card.mp4":
montage_clips.append(file)
return montage_clips
def process_clip(clip_path: Path):
is_vertical = clip_path.stem.endswith(("-vert", "-vertical"))
stream_date = parse_stream_date(clip_path)
# ⏺️ Compose overlay text for title overlay
overlay_text = format_overlay_text(
title="Fortnite Highlights",
subtitle="with Gramps",
date_str=stream_date.strftime("%B %d, %Y"),
)
# 🪪 Create session metadata
session_name = extract_session_metadata(clip_path)
# 🖼️ Generate title overlay baked into intro (2s fade before end)
output_name = generate_output_filename(clip_path)
output_path = clip_path.parents[1] / "rendered" / output_name
temp_intro_path = output_path.parent / "intro_with_title.mp4"
stock_intro = INTRO_VERTICAL_PATH if is_vertical else INTRO_WIDE_PATH
print(f"[DEBUG] Generating intro with title overlay at: {temp_intro_path}")
generate_title_overlay(
intro_path=stock_intro,
overlay_text=overlay_text,
output_path=temp_intro_path,
font_path=FONT_PATH,
is_vertical=is_vertical
)
# 🎞️ Final outro (unchanged)
outro_path = OUTRO_VERTICAL_PATH if is_vertical else OUTRO_WIDE_PATH
# 🎬 Render final video
render_montage_clip(
title_card_path=temp_intro_path,
montage_path=clip_path,
output_path=output_path,
intro_path=temp_intro_path, # semantic placeholder
outro_path=outro_path,
music_path=THEME_MUSIC_PATH,
is_vertical=is_vertical
)
# 🧹 Cleanup
if temp_intro_path.exists():
try:
temp_intro_path.unlink()
except Exception as e:
print(f"[WARN] Couldn't delete temp intro file: {e}")
def main():
print(f"🐛 DEBUG: main.py loaded from: {__file__}")
print(f"⏱️ LAUNCH TIMESTAMP: {datetime.now().isoformat()}")
print(f"🔧 modules_path = {Path(__file__).parent / 'modules'}")
print(f"🔍 Scanning NAS for montage clips under: {NAS_MOUNT_ROOT}")
montage_clips = scan_for_montage_clips(NAS_MOUNT_ROOT)
if not montage_clips:
print("📭 No montage clips found.")
return
for clip_path in montage_clips:
print(f"📦 Sending clip to processor: {clip_path} (type: {type(clip_path)})")
try:
process_clip(clip_path)
except Exception as e:
print(f"❌ Error processing {clip_path} (is_vertical={clip_path.stem.endswith(('-vert', '-vertical'))}) → {e}")
if __name__ == "__main__":
main()

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from . import render_engine

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import os
import logging
from pathlib import Path
from dotenv import load_dotenv
load_dotenv()
# debugging flag
DEBUG = True
# 🔧 Project Root
PROJECT_ROOT = Path(__file__).resolve().parent.parent
NAS_MOUNT_ROOT = Path("Z:/")
# 📁 Assets
ASSETS_DIR = PROJECT_ROOT / "assets"
# 🎵 Theme Music
THEME_MUSIC_PATH = ASSETS_DIR / "The_Llama_Song.mp3"
# Font
FONT_PATH = ASSETS_DIR / "BurbankBigCondensed-Black.otf"
# Brand colors
FONT_COLOR = "#f7338f"
SHADING_COLOR = "#10abba"
SHADOW_COLOR = "#1c0c38"
BRANDING_COLORS = {
"font": FONT_COLOR,
"shade": SHADING_COLOR,
"shadow": SHADOW_COLOR
}
# Rendering quality settings (used by render_engine.py)
RENDER_PRESET = "slow" # or "medium" for faster encode
RENDER_CRF = 18 # lower = better quality, 18–23 is typical
TITLE_TEMPLATE = {
"main": "Fortnite Highlights",
"sub": "from livestream",
}
# 🎬 Static Intros and Outros prevetted to 1080p60
INTRO_WIDE_PATH = NAS_MOUNT_ROOT / "assets" / "intro-wide-60fps.mp4"
OUTRO_WIDE_PATH = NAS_MOUNT_ROOT / "assets" / "outro-wide-60fps.mp4"
INTRO_VERTICAL_PATH = NAS_MOUNT_ROOT / "assets" / "intro-vertical-60fps.mp4"
OUTRO_VERTICAL_PATH = NAS_MOUNT_ROOT / "assets" / "outro-vertical-60fps.mp4"
# 🔨 Optional: FFmpeg executable path
FFMPEG_PATH = Path("C:/ffmpeg/bin/ffmpeg.exe")
# 🧠 OpenAI API Key
# os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
openai_api_key = os.getenv("OPENAI_API_KEY")
# 📂 Path resolver (Z: → UNC fallback), now exception wrapped
def resolve_path(path_obj: Path) -> str:
"""
Safely resolves a path for use in subprocess calls.
Falls back from Z:/ to UNC if necessary and logs issues.
"""
try:
if path_obj.exists():
return str(path_obj)
# Try UNC fallback
fallback = Path(str(path_obj).replace("Z:/", "//chong/LCS/Videos/eklipse/"))
if fallback.exists():
return str(fallback)
raise FileNotFoundError(f"❌ Path not found: {path_obj} or fallback {fallback}")
except Exception as e:
logging.error(f"[resolve_path] Failed to resolve: {path_obj} → {e}")
raise

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from datetime import datetime
from pathlib import Path
def parse_stream_date(path: Path) -> datetime:
"""
Extracts a datetime object from a stream session folder name.
Assumes the structure: Z:/YYYY.MM.DD[.N]/category/clip.mp4
Always returns the date from the stream folder (two levels up).
"""
session_folder = path.parent.parent # clip.mp4 → montages → 2025.06.20
folder_name = session_folder.name.strip()
date_parts = folder_name.split('.')[:3]
if len(date_parts) != 3:
raise ValueError(f"Invalid folder name format: {folder_name}")
date_str = '.'.join(date_parts)
try:
return datetime.strptime(date_str, '%Y.%m.%d')
except Exception as e:
raise ValueError(f"Failed to parse '{date_str}' from '{folder_name}': {e}")

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import os
def detect_format_from_filename(clip_path):
"""
Determines if a clip is 'wide' or 'vertical' based on its filename.
Rules:
- Filenames ending in -vert.mp4 or -vertical.mp4 → 'vertical'
- All others → 'wide'
"""
filename = os.path.basename(clip_path).lower()
if filename.endswith("-vert.mp4") or filename.endswith("-vertical.mp4"):
return "vertical"
return "wide"

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def upload_to_peertube(video_path: Path, title: str, description: str) -> str:
"""
Stub for PeerTube upload – replace with real implementation later.
"""
print("⚠️ PeerTube upload not yet implemented.")
return "https://peertube.example.com/video-placeholder"

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import subprocess
from pathlib import Path
from modules.config import DEBUG
def render_montage_clip(
title_card_path: Path,
montage_path: Path,
output_path: Path,
intro_path: Path,
outro_path: Path,
music_path: Path,
is_vertical: bool = False,
):
"""
Combines intro (with title), montage, and outro into a final video.
Uses ffmpeg for concatenation and audio overlay.
"""
if not title_card_path.exists():
raise FileNotFoundError(f"[ERROR] Title card not found: {title_card_path}")
if not montage_path.exists():
raise FileNotFoundError(f"[ERROR] Montage clip not found: {montage_path}")
if not intro_path.exists():
raise FileNotFoundError(f"[ERROR] Intro file not found: {intro_path}")
if not outro_path.exists():
raise FileNotFoundError(f"[ERROR] Outro file not found: {outro_path}")
if not music_path.exists():
raise FileNotFoundError(f"[ERROR] Music track not found: {music_path}")
filter_complex = (
"[0:v:0]fps=30,setsar=1[v0];"
"[1:v:0]fps=30,setsar=1[v1];"
"[1:a:0]anull[a1];"
"[3:v:0]fps=30,setsar=1[v3];"
"[v0][v1][v3]concat=n=3:v=1:a=0[outv];"
"[a1][2:a:0]amix=inputs=2:duration=first[outa]"
)
ffmpeg_cmd = [
"ffmpeg",
"-y",
"-i", str(title_card_path), # 0 = intro with title baked in
"-i", str(montage_path), # 1 = montage content
"-i", str(music_path), # 2 = background music
"-i", str(outro_path), # 3 = static outro
"-filter_complex", filter_complex,
"-map", "[outv]",
"-map", "[outa]",
"-c:v", "libx264",
"-preset", "ultrafast",
"-crf", "23",
"-c:a", "aac",
"-b:a", "192k",
str(output_path)
]
if DEBUG:
print(f"[DEBUG] Starting render_montage_clip")
print(f"[DEBUG] Input files:")
print(f" title_card_path: {title_card_path} → {title_card_path.exists()}")
print(f" montage_path: {montage_path} → {montage_path.exists()}")
print(f" output_path: {output_path}")
print(f" output_dir exists? {output_path.parent.exists()}")
print(f"[DEBUG] subprocess command: {ffmpeg_cmd}")
subprocess.run(ffmpeg_cmd, check=True)

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# modules/render_montages.py
#
# Entrypoint for rendering Fortnite montage clips.
# This module handles parsing the clip metadata and orchestrating the render pipeline.
from pathlib import Path
from datetime import datetime
from render_engine import render_montage_clip
from title_utils import format_overlay_text
def process_montage_clip(
clip_path: Path,
stream_date: datetime,
out_path: Path,
is_vertical: bool
):
"""
Handles full processing of a montage clip:
- Builds overlay title from stream date
- Renders intro with overlay
- Stitches intro + clip + outro
- Saves final result to out_path
"""
# Format multiline overlay text using stream date
title_text = format_overlay_text(stream_date)
# Run full montage render pipeline
try:
print(f"\n[TRACE] about to render:")
print(f" montage_path: {montage_path} → {montage_path.exists()}")
print(f" title_card_path: {title_card_path} → {title_card_path.exists()}")
print(f" output_path: {output_path}")
render_montage_clip(
montage_path=montage_path,
title_card_path=title_card_path,
output_path=output_path,
is_vertical=is_vertical
)
except Exception as e:
print(f"🔥 Exception BEFORE render_montage_clip: {type(e).__name__} → {e}")
import traceback
traceback.print_exc()

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import openai
from pathlib import Path
def generate_dynamic_description(notes_text: str, date: str, video_type: str) -> str:
"""
Generates a YouTube description using OpenAI based on notes (if available),
video date, and video type.
"""
base_prompt = (
f"Write a fun, engaging YouTube description for a Fortnite {video_type} video "
f"from {date}. Include light humor, emoticons, a call to subscribe, and relevant hashtags. "
f"Include reference to the host, Gramps, and his whacky senile playstyle in solo zero build gameplay."
)
if notes_text.strip():
prompt = f"{base_prompt}\n\nAdditional context:\n{notes_text.strip()}"
else:
prompt = base_prompt
response = openai.ChatCompletion.create(
model="gpt-4o",
messages=[{"role": "user", "content": prompt}],
temperature=0.9
)
return response['choices'][0]['message']['content']
def upload_video(video_path: Path, title: str, description: str, is_vertical: bool):
"""
Main upload dispatcher:
- Always uploads to YouTube.
- Uploads to PeerTube only if the video is NOT vertical.
"""
print(f"📤 Uploading to YouTube: {video_path.name}")
yt_url = upload_to_youtube(video_path, title, description, is_short=is_vertical)
pt_url = None
if not is_vertical:
print(f"📤 Uploading to PeerTube: {video_path.name}")
# Placeholder: Implement actual PeerTube upload function.
pt_url = upload_to_peertube(video_path, title, description)
return {
"youtube": yt_url,
"peertube": pt_url,
}

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# startup.py
#
# Description:
# This module verifies the presence and accessibility of all critical assets needed for the video processing pipeline.
# If any required file is missing or unreadable, the script exits with an error message.
#
# Usage:
# Called at the beginning of main.py to ensure a clean, verified startup state.
from pathlib import Path
import sys
# These are expected to be already set correctly in config.py
from config import (
INTRO_WIDE_PATH,
INTRO_VERTICAL_PATH,
OUTRO_WIDE_PATH,
OUTRO_VERTICAL_PATH,
FONT_PATH,
THEME_MUSIC_PATH
)
REQUIRED_PATHS = [
("INTRO_WIDE_PATH", INTRO_WIDE_PATH),
("INTRO_VERTICAL_PATH", INTRO_VERTICAL_PATH),
("OUTRO_WIDE_PATH", OUTRO_WIDE_PATH),
("OUTRO_VERTICAL_PATH", OUTRO_VERTICAL_PATH),
("FONT_PATH", FONT_PATH),
("THEME_MUSIC_PATH", THEME_MUSIC_PATH),
]
def resolve_path(label: str, path_str: str):
try:
path = Path(path_str)
if not path.is_file():
raise FileNotFoundError(f"{label} not found at {path}")
return path
except Exception as e:
print(f"❌ {label} → {e}")
sys.exit(1)
def verify_assets():
print("🔍 Verifying external file dependencies...")
for label, path_str in REQUIRED_PATHS:
resolved = resolve_path(label, path_str)
print(f"✅ {label} → {resolved}")

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from pathlib import Path
import subprocess
from datetime import datetime
def parse_stream_date(clip_path: Path) -> datetime:
"""
Extracts the stream date from a montage clip path by parsing its grandparent directory name.
Assumes format: YYYY.MM.DD or YYYY.MM.DD.N
"""
parent_dir = clip_path.parents[1]
dir_name = parent_dir.name.split(".")
if len(dir_name) < 3:
raise ValueError(f"Invalid directory name format: {parent_dir.name}")
year, month, day = map(int, dir_name[:3])
return datetime(year, month, day)
def extract_session_metadata(clip_path: Path) -> str:
"""
Returns the session directory name as metadata tag (e.g. '2025.07.01' or '2025.07.01.2')
"""
return clip_path.parents[1].name
def generate_output_filename(clip_path: Path) -> str:
"""
Generates output filename from the session name, following rules:
- Vertical clips get suffix `-vert`
- Suffix .N in session becomes `-videoN`
"""
session_name = extract_session_metadata(clip_path)
date_parts = session_name.split(".")
base_date = "".join(date_parts[:3]) # e.g., 20250701
suffix = f"-video{date_parts[3]}" if len(date_parts) > 3 else ""
vert = "-vert" if clip_path.stem.endswith(("-vert", "-vertical")) else ""
return f"Fortnite-montage-{base_date}{suffix}{vert}.mp4"
def format_overlay_text(title: str, subtitle: str, date_str: str) -> list[str]:
"""
Returns three lines for the overlay text.
"""
return [title, subtitle, date_str]
def generate_title_overlay(
intro_path: Path,
overlay_text: list[str],
output_path: Path,
font_path: Path,
is_vertical: bool = False,
):
"""
Overlays title text on top of the intro clip and creates a new video segment.
The text fades out completely 0.5 seconds before the intro ends.
"""
width, height = (1080, 1920) if is_vertical else (1920, 1080)
fade_start = 4.5
fade_duration = 0.5
# Uniform visual settings
fontcolor = "#f7338f"
shadowcolor = "0x1c0c38"
boxcolor = "0x10abba@0.5"
fontsize = 64
y_offsets = [0, 80, 160] # vertical positions for each line
# Escape Windows-style font path
escaped_font_path = str(font_path).replace("\\", "\\\\")
drawtext_filters = []
for i, (line, y_offset) in enumerate(zip(overlay_text, y_offsets)):
drawtext = (
f"drawtext=text='{line}':"
f"fontfile='{escaped_font_path}':"
f"x=(w-text_w)/2:"
f"y=(h/2)-90+{y_offset}:"
f"fontsize={fontsize}:"
f"fontcolor={fontcolor}:"
f"shadowcolor={shadowcolor}:"
f"shadowx=2:shadowy=2:"
f"box=1:boxcolor={boxcolor}"
)
drawtext_filters.append(drawtext)
drawtext_filters.append(f"fade=t=out:st={fade_start}:d={fade_duration}:alpha=1")
drawtext_filter = ",".join(drawtext_filters)
ffmpeg_cmd = [
"ffmpeg",
"-y",
"-i", str(intro_path),
"-vf", drawtext_filter,
"-c:v", "libx264",
"-preset", "ultrafast",
"-t", "5",
"-pix_fmt", "yuv420p",
str(output_path)
]
subprocess.run(ffmpeg_cmd, check=True)
def generate_montage_title(session_name: str) -> str:
"""
Generates YouTube/PeerTube title for montage videos.
Example:
'#Fortnite #Solo #Zerobuild #Highlights with Gramps from July 1, 2025'
"""
parts = session_name.split(".")
year, month, day = map(int, parts[:3])
suffix = f" Video {parts[3]}" if len(parts) > 3 else ""
date_str = datetime(year, month, day).strftime("%B %-d, %Y")
return f"#Fortnite #Solo #Zerobuild #Highlights with Gramps from {date_str}{suffix}"

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# modules/utils.py
#
# General-purpose utility functions used throughout the rendering pipeline.
import re
from pathlib import Path
from datetime import datetime
from modules.config import NAS_MOUNT_ROOT, resolve_path # type: ignore
# Regex pattern to match date formats like '2025.06.20', '2025.06.20.2', etc.
DATE_PATTERN = re.compile(r"^(\d{4})\.(\d{2})\.(\d{2})(?:\.(\d{1,2}))?$")
def scan_for_new_clips(base_path: Path, subfolder: str) -> list[Path]:
"""
Recursively scan base_path for any files under a named subfolder
(e.g. 'montages', 'hits', etc).
Returns a list of all video files found.
"""
matching_clips = []
for session_dir in base_path.iterdir():
if session_dir.is_dir() and session_dir.name.count(".") >= 2:
target_dir = session_dir / subfolder
if target_dir.exists():
for f in target_dir.glob("*.mp4"):
matching_clips.append(f)
return matching_clips
def run_ffmpeg(cmd: list[str]) -> None:
"""
Execute an ffmpeg command, logging output and raising if the command fails.
"""
import subprocess
from textwrap import indent
print(f"\n🛠️ Running ffmpeg:\n{indent(' '.join(cmd), ' ')}\n")
try:
subprocess.run(cmd, check=True)
except subprocess.CalledProcessError as e:
print(f"❌ FFmpeg failed with error: {e}")
raise

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import os
import pickle, logging
from pathlib import Path
from datetime import datetime
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from googleapiclient.discovery import build
from googleapiclient.http import MediaFileUpload
from modules.title_utils import get_output_filename, generate_montage_title
# Define OAuth scopes and token paths
SCOPES = ["https://www.googleapis.com/auth/youtube.upload"]
TOKEN_PATH = Path("token.pickle")
CLIENT_SECRETS_FILE = Path("client_secrets.json")
def authenticate_youtube():
"""Handles YouTube OAuth flow and returns a service client."""
creds = None
if TOKEN_PATH.exists():
with open(TOKEN_PATH, "rb") as token_file:
creds = pickle.load(token_file)
if not creds or not creds.valid:
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
if not CLIENT_SECRETS_FILE.exists():
raise FileNotFoundError("client_secrets.json not found.")
flow = InstalledAppFlow.from_client_secrets_file(
str(CLIENT_SECRETS_FILE), SCOPES
)
creds = flow.run_local_server(port=0)
with open(TOKEN_PATH, "wb") as token_file:
pickle.dump(creds, token_file)
return build("youtube", "v3", credentials=creds)
def generate_description(clip_path: Path, stream_date: datetime, is_montage: bool = False) -> str:
"""Creates a dynamic and fun YouTube description."""
kill_count_guess = sum(word.isdigit() for word in clip_path.stem.split())
date_str = stream_date.strftime("%B %d, %Y")
intro = "Gramps is back in Fortnite with another spicy highlight! 🦥"
if is_montage:
body = (
f"This reel features an outrageous compilation of top plays from our {date_str} stream.\n"
f"{kill_count_guess} eliminations of stupendous magnitude that must be seen to be believed!"
)
else:
body = (
f"Recorded live on {date_str}, this clip captures one of many wild moments "
"from the battlefield. Grab your popcorn. 🎮"
)
hashtags = "#Fortnite #Gaming #SeniorGamer #LlamaChileShop #EpicMoments"
return f"{intro}\n\n{body}\n\nSubscribe for more: https://youtube.com/@llamachileshop\n{hashtags}"
def upload_to_youtube(video_path: Path, title: str, description: str, is_short: bool = False) -> str:
"""Uploads the video to YouTube and returns the video URL."""
youtube = authenticate_youtube()
request_body = {
"snippet": {
"title": title,
"description": description,
"tags": ["Fortnite", "Gaming", "Senior Gamer", "LlamaChileShop"],
"categoryId": "20", # Gaming
},
"status": {
"privacyStatus": "private",
"selfDeclaredMadeForKids": False,
}
}
media = MediaFileUpload(str(video_path), mimetype="video/mp4", resumable=True)
request = youtube.videos().insert(
part="snippet,status",
body=request_body,
media_body=media
)
response = request.execute()
video_id = response["id"]
return f"https://youtu.be/{video_id}"

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import moviepy.editor
print("✅ moviepy.editor is available")

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from pathlib import Path
from datetime import datetime
from modules.yt_poster import upload_to_youtube, generate_description
# Manually define the clip path and its stream folder
clip_path = Path("//chong/LCS/Videos/eklipse/2025.06.20/rendered/AI_Compilation___19x_kills,_downs-vert.mp4")
stream_folder = clip_path.parent.parent # Goes up to 2025.06.20
# Extract stream date from folder name
stream_date = datetime.strptime(stream_folder.name, "%Y.%m.%d")
# Determine if vertical format
is_vert = clip_path.stem.endswith("-vert") or clip_path.stem.endswith("-vertical")
# Generate YouTube description
description = generate_description(
clip_path=clip_path,
stream_date=stream_date,
is_montage=True
)
# Upload to YouTube
youtube_url = upload_to_youtube(
video_path=clip_path,
title=clip_path.stem,
description=description,
is_short=is_vert
)
# Print social previews
print("🔗 Uploaded to YouTube:", youtube_url)
print("\n--- Mastodon Preview ---")
print(f"New video posted! {clip_path.stem} — now live on YouTube! {youtube_url} 🦙\n\n{description}")
print("\n--- Bluesky Preview ---")
print(f"Catch the latest from Gramps 🦙: {clip_path.stem} — now up on YouTube!\n\n{youtube_url} #Fortnite #LlamaChileShop")