| |
| """Standalone CSV shape and ffprobe helpers for the video converter.""" |
|
|
| from __future__ import annotations |
|
|
| import csv |
| import json |
| import subprocess |
| from pathlib import Path |
|
|
|
|
| def probe_ts_shape(path: str) -> tuple[int, int]: |
| with Path(path).open(encoding="utf-8", newline="") as handle: |
| reader = csv.reader(handle) |
| header = next(reader) |
| columns = sum(name.lower() not in {"timestamp", "time", "datetime"} for name in header) |
| return sum(1 for _ in reader), columns |
|
|
|
|
| def probe_video_meta(path: str) -> tuple[int, int, float, int, float]: |
| result = subprocess.run( |
| ["ffprobe", "-v", "error", "-select_streams", "v:0", "-show_entries", |
| "stream=width,height,avg_frame_rate,nb_frames,duration:format=duration", "-of", "json", path], |
| capture_output=True, text=True, timeout=60, check=True, |
| ) |
| data = json.loads(result.stdout) |
| stream = data["streams"][0] |
| numerator, denominator = stream["avg_frame_rate"].split("/") |
| fps = float(numerator) / float(denominator) |
| duration = float(stream.get("duration", data.get("format", {}).get("duration", 0))) |
| frame_count = stream.get("nb_frames", "N/A") |
| frames = int(frame_count) if frame_count != "N/A" else round(duration * fps) |
| return int(stream["width"]), int(stream["height"]), fps, frames, duration |
|
|
