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"""
main.py
YouTube Transcript Toolkit — CLI entry point.
Commands:
fetch Fetch and print/save raw transcript
clean Fetch transcript and reformat into paragraphs
summarize Fetch transcript and summarize
pipeline Fetch, clean, and summarize in one pass
list List available transcript languages for a video
Author: algorembrant
"""
from __future__ import annotations
import argparse
import sys
from config import DEFAULT_MODEL, QUALITY_MODEL, SUMMARY_MODES, OUTPUT_FORMATS
from fetcher import extract_video_id, list_available_transcripts, fetch
from cleaner import clean
from summarizer import summarize
from pipeline import run, run_batch
# ---------------------------------------------------------------------------
# Shared argument groups
# ---------------------------------------------------------------------------
def _add_video_args(p: argparse.ArgumentParser) -> None:
p.add_argument(
"video",
nargs="+",
help="YouTube video URL(s) or ID(s).",
)
def _add_lang_args(p: argparse.ArgumentParser) -> None:
p.add_argument(
"-l", "--languages",
nargs="+",
default=["en"],
metavar="LANG",
help="Language codes in order of preference (default: en). Example: --languages en es",
)
def _add_output_args(p: argparse.ArgumentParser) -> None:
p.add_argument(
"-o", "--output",
metavar="PATH",
help="Output file (single video) or directory (multiple videos).",
)
def _add_ai_args(p: argparse.ArgumentParser) -> None:
p.add_argument(
"--quality",
action="store_true",
help=f"Use the higher-quality model ({QUALITY_MODEL}) instead of the default fast model.",
)
p.add_argument(
"--no-stream",
action="store_true",
help="Disable token streaming (collect full response before printing).",
)
def _add_format_args(p: argparse.ArgumentParser) -> None:
p.add_argument(
"-f", "--format",
choices=OUTPUT_FORMATS,
default="text",
help="Raw transcript output format (default: text).",
)
p.add_argument(
"-t", "--timestamps",
action="store_true",
help="Include timestamps in plain-text transcript output.",
)
# ---------------------------------------------------------------------------
# Argument parser
# ---------------------------------------------------------------------------
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(
prog="yttool",
description=(
"YouTube Transcript Toolkit\n"
"Fetch, clean, and summarize YouTube transcripts. No HTML parsing.\n"
"Author: algorembrant"
),
formatter_class=argparse.RawTextHelpFormatter,
)
subparsers = parser.add_subparsers(dest="command", required=True)
# ---- fetch ----
p_fetch = subparsers.add_parser(
"fetch",
help="Fetch the raw transcript of a YouTube video.",
formatter_class=argparse.RawTextHelpFormatter,
)
_add_video_args(p_fetch)
_add_lang_args(p_fetch)
_add_format_args(p_fetch)
_add_output_args(p_fetch)
# ---- list ----
p_list = subparsers.add_parser(
"list",
help="List all available transcript languages for a video.",
)
_add_video_args(p_list)
# ---- clean ----
p_clean = subparsers.add_parser(
"clean",
help="Fetch a transcript and reformat it into clean paragraphs.",
formatter_class=argparse.RawTextHelpFormatter,
)
_add_video_args(p_clean)
_add_lang_args(p_clean)
_add_ai_args(p_clean)
_add_output_args(p_clean)
# ---- summarize ----
p_sum = subparsers.add_parser(
"summarize",
help="Fetch a transcript and summarize it.",
formatter_class=argparse.RawTextHelpFormatter,
)
_add_video_args(p_sum)
_add_lang_args(p_sum)
p_sum.add_argument(
"-m", "--mode",
choices=list(SUMMARY_MODES.keys()),
default="brief",
help=(
"Summary mode (default: brief):\n"
+ "\n".join(
f" {k:10s} {v['description']}"
for k, v in SUMMARY_MODES.items()
)
),
)
_add_ai_args(p_sum)
_add_output_args(p_sum)
# ---- pipeline ----
p_pipe = subparsers.add_parser(
"pipeline",
help="Fetch, clean, and summarize in one pass.",
formatter_class=argparse.RawTextHelpFormatter,
)
_add_video_args(p_pipe)
_add_lang_args(p_pipe)
_add_format_args(p_pipe)
p_pipe.add_argument(
"-m", "--mode",
choices=list(SUMMARY_MODES.keys()),
default="brief",
help="Summary mode (default: brief).",
)
p_pipe.add_argument(
"--skip-clean",
action="store_true",
help="Skip the cleaning step; summarize raw transcript directly.",
)
p_pipe.add_argument(
"--skip-summary",
action="store_true",
help="Skip the summarization step; only fetch and clean.",
)
_add_ai_args(p_pipe)
_add_output_args(p_pipe)
return parser
# ---------------------------------------------------------------------------
# Command handlers
# ---------------------------------------------------------------------------
def cmd_list(args: argparse.Namespace) -> None:
for v in args.video:
vid = extract_video_id(v)
list_available_transcripts(vid)
def cmd_fetch(args: argparse.Namespace) -> None:
import os
video_ids = [extract_video_id(v) for v in args.video]
single = len(video_ids) == 1
for vid in video_ids:
result = fetch(vid, languages=args.languages)
text = result.formatted(args.format, timestamps=args.timestamps)
if args.output:
if single:
out_path = args.output
else:
ext_map = {"text": "txt", "json": "json", "srt": "srt", "vtt": "vtt"}
os.makedirs(args.output, exist_ok=True)
out_path = os.path.join(args.output, f"{vid}.{ext_map.get(args.format, 'txt')}")
with open(out_path, "w", encoding="utf-8") as f:
f.write(text)
print(f"[saved] {out_path}", file=sys.stderr)
else:
if not single:
print(f"\n{'='*60}\nVideo: {vid}\n{'='*60}")
print(text)
def cmd_clean(args: argparse.Namespace) -> None:
import os
video_ids = [extract_video_id(v) for v in args.video]
single = len(video_ids) == 1
model = QUALITY_MODEL if args.quality else DEFAULT_MODEL
stream = not args.no_stream
for vid in video_ids:
result = fetch(vid, languages=args.languages)
cleaned = clean(result.plain_text, model=model, stream=stream)
if args.output:
if single:
out_path = args.output
else:
os.makedirs(args.output, exist_ok=True)
out_path = os.path.join(args.output, f"{vid}_cleaned.txt")
with open(out_path, "w", encoding="utf-8") as f:
f.write(cleaned)
print(f"\n[saved] {out_path}", file=sys.stderr)
else:
if not single:
print(f"\n{'='*60}\nVideo: {vid}\n{'='*60}")
print(cleaned)
def cmd_summarize(args: argparse.Namespace) -> None:
import os
video_ids = [extract_video_id(v) for v in args.video]
single = len(video_ids) == 1
model = QUALITY_MODEL if args.quality else DEFAULT_MODEL
stream = not args.no_stream
for vid in video_ids:
result = fetch(vid, languages=args.languages)
summary = summarize(result.plain_text, mode=args.mode, model=model, stream=stream)
if args.output:
if single:
out_path = args.output
else:
os.makedirs(args.output, exist_ok=True)
out_path = os.path.join(args.output, f"{vid}_summary.txt")
with open(out_path, "w", encoding="utf-8") as f:
f.write(summary)
print(f"\n[saved] {out_path}", file=sys.stderr)
else:
if not single:
print(f"\n{'='*60}\nVideo: {vid}\n{'='*60}")
print(summary)
def cmd_pipeline(args: argparse.Namespace) -> None:
video_ids = [extract_video_id(v) for v in args.video]
model = QUALITY_MODEL if args.quality else DEFAULT_MODEL
stream = not args.no_stream
kwargs = dict(
languages = args.languages,
do_clean = not args.skip_clean,
do_summarize = not args.skip_summary,
summary_mode = args.mode,
model = model,
quality = args.quality,
stream = stream,
output_dir = args.output,
transcript_format = args.format,
timestamps = args.timestamps,
)
if len(video_ids) == 1:
r = run(video_ids[0], **kwargs)
if not args.output:
_print_pipeline_result(r)
else:
results = run_batch(video_ids, **kwargs)
if not args.output:
for r in results:
print(f"\n{'='*60}\nVideo: {r.video_id}\n{'='*60}")
_print_pipeline_result(r)
# Report errors
all_errors = []
if isinstance(r if len(video_ids) == 1 else None, object):
pass # handled per-result below
def _print_pipeline_result(r) -> None:
sections = []
if r.raw:
sections.append(("RAW TRANSCRIPT", r.raw))
if r.cleaned:
sections.append(("CLEANED TRANSCRIPT", r.cleaned))
if r.summary:
sections.append(("SUMMARY", r.summary))
for title, content in sections:
print(f"\n{'='*60}")
print(f" {title}")
print(f"{'='*60}\n")
print(content)
if r.errors:
print(f"\n[errors]", file=sys.stderr)
for err in r.errors:
print(f" {err}", file=sys.stderr)
# ---------------------------------------------------------------------------
# Entry point
# ---------------------------------------------------------------------------
def main() -> None:
parser = build_parser()
args = parser.parse_args()
dispatch = {
"list": cmd_list,
"fetch": cmd_fetch,
"clean": cmd_clean,
"summarize": cmd_summarize,
"pipeline": cmd_pipeline,
}
handler = dispatch.get(args.command)
if handler:
handler(args)
else:
parser.print_help()
sys.exit(1)
if __name__ == "__main__":
main() |