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//! Frame and audio extraction via ffmpeg
//!
//! Uses ffmpeg's scene detection for smart keyframe selection
//! rather than extracting every frame.
use serde::{Deserialize, Serialize};
use std::path::{Path, PathBuf};
use std::process::Stdio;
use tokio::process::Command;
use super::{AnalysisError, Result, VideoMetadata};
/// Extracted frame with metadata
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExtractedFrame {
/// Path to the extracted frame image
pub path: PathBuf,
/// Timestamp in seconds
pub timestamp: f64,
/// Frame number in original video
pub frame_number: u64,
/// Scene change score (0.0-1.0)
pub scene_score: f32,
}
/// Frame extractor using ffmpeg scene detection
pub struct FrameExtractor {
scene_threshold: f32,
max_frames: usize,
}
impl FrameExtractor {
#[must_use]
pub fn new(scene_threshold: f32, max_frames: usize) -> Self {
Self {
scene_threshold,
max_frames,
}
}
/// Extract keyframes from video using scene detection
pub async fn extract(
&self,
video_path: &Path,
output_dir: &Path,
) -> Result<(Vec<ExtractedFrame>, VideoMetadata)> {
// First, get video metadata
let metadata = self.get_metadata(video_path).await?;
// Use ffmpeg scene detection to extract keyframes
// select='gt(scene,threshold)' filters for scene changes
let output_pattern = output_dir.join("frame_%04d.jpg");
let status = Command::new("ffmpeg")
.args([
"-i",
video_path.to_str().ok_or_else(|| {
AnalysisError::Io(std::io::Error::new(
std::io::ErrorKind::InvalidInput,
"Invalid video path",
))
})?,
"-vf",
&format!("select='gt(scene,{:.2})',showinfo", self.scene_threshold),
"-vsync",
"vfr",
"-frame_pts",
"1",
"-q:v",
"2", // High quality JPEG
output_pattern.to_str().ok_or_else(|| {
AnalysisError::Io(std::io::Error::new(
std::io::ErrorKind::InvalidInput,
"Invalid output pattern path",
))
})?,
"-y", // Overwrite
])
.stdout(Stdio::piped())
.stderr(Stdio::piped())
.status()
.await?;
if !status.success() {
return Err(AnalysisError::Ffmpeg("Frame extraction failed".to_string()));
}
// Read extracted frames and their timestamps
let mut frames = self.read_extracted_frames(output_dir, &metadata)?;
// Limit to max_frames (keeping evenly distributed selection)
if frames.len() > self.max_frames {
let step = frames.len() / self.max_frames;
frames = frames
.into_iter()
.step_by(step)
.take(self.max_frames)
.collect();
}
Ok((frames, metadata))
}
/// Get video metadata using ffprobe
async fn get_metadata(&self, video_path: &Path) -> Result<VideoMetadata> {
let output = Command::new("ffprobe")
.args([
"-v",
"quiet",
"-print_format",
"json",
"-show_format",
"-show_streams",
video_path.to_str().ok_or_else(|| {
AnalysisError::Io(std::io::Error::new(
std::io::ErrorKind::InvalidInput,
"Invalid video path",
))
})?,
])
.output()
.await?;
if !output.status.success() {
return Err(AnalysisError::Ffmpeg("ffprobe failed".to_string()));
}
let probe: FfprobeOutput = serde_json::from_slice(&output.stdout)?;
// Find video stream
let video_stream = probe
.streams
.iter()
.find(|s| s.codec_type.as_deref() == Some("video"))
.ok_or_else(|| AnalysisError::Ffmpeg("No video stream found".to_string()))?;
// Find audio stream
let audio_stream = probe
.streams
.iter()
.find(|s| s.codec_type.as_deref() == Some("audio"));
// Parse frame rate (e.g., "30/1" or "30000/1001")
let fps = video_stream
.r_frame_rate
.as_ref()
.and_then(|r| {
let parts: Vec<&str> = r.split('/').collect();
if parts.len() == 2 {
let num: f32 = parts[0].parse().ok()?;
let den: f32 = parts[1].parse().ok()?;
Some(num / den)
} else {
r.parse().ok()
}
})
.unwrap_or(30.0);
Ok(VideoMetadata {
duration: probe.format.duration.parse().unwrap_or(0.0),
width: video_stream.width.unwrap_or(0),
height: video_stream.height.unwrap_or(0),
fps,
audio_channels: audio_stream.and_then(|a| a.channels),
audio_sample_rate: audio_stream
.and_then(|a| a.sample_rate.as_ref())
.and_then(|r| r.parse().ok()),
})
}
/// Read extracted frames from directory
fn read_extracted_frames(
&self,
output_dir: &Path,
metadata: &VideoMetadata,
) -> Result<Vec<ExtractedFrame>> {
let mut frames = Vec::new();
let mut entries: Vec<_> = std::fs::read_dir(output_dir)?
.filter_map(std::result::Result::ok)
.filter(|e| {
e.path()
.extension()
.is_some_and(|ext| ext == "jpg" || ext == "png")
})
.collect();
entries.sort_by_key(std::fs::DirEntry::path);
for (i, entry) in entries.iter().enumerate() {
let path = entry.path();
// Estimate timestamp from frame number (scene detection preserves pts)
// This is approximate; for precise timestamps, parse ffmpeg showinfo output
let frame_number = i as u64;
// Precision loss acceptable: timestamp is approximate display value
#[allow(clippy::cast_precision_loss)]
let timestamp = frame_number as f64 / f64::from(metadata.fps);
frames.push(ExtractedFrame {
path,
timestamp,
frame_number,
scene_score: self.scene_threshold, // Threshold used
});
}
Ok(frames)
}
/// Extract a single frame at specific timestamp
pub async fn extract_frame_at(
&self,
video_path: &Path,
timestamp: f64,
output_path: &Path,
) -> Result<ExtractedFrame> {
let status = Command::new("ffmpeg")
.args([
"-ss",
&format!("{timestamp:.3}"),
"-i",
video_path.to_str().ok_or_else(|| {
AnalysisError::Io(std::io::Error::new(
std::io::ErrorKind::InvalidInput,
"Invalid video path",
))
})?,
"-frames:v",
"1",
"-q:v",
"2",
output_path.to_str().ok_or_else(|| {
AnalysisError::Io(std::io::Error::new(
std::io::ErrorKind::InvalidInput,
"Invalid output path",
))
})?,
"-y",
])
.status()
.await?;
if !status.success() {
return Err(AnalysisError::Ffmpeg(
"Single frame extraction failed".to_string(),
));
}
Ok(ExtractedFrame {
path: output_path.to_path_buf(),
timestamp,
frame_number: 0,
scene_score: 1.0,
})
}
}
/// Audio extractor
pub struct AudioExtractor;
impl AudioExtractor {
#[must_use]
pub fn new() -> Self {
Self
}
/// Extract audio track as WAV (16kHz mono for Whisper)
pub async fn extract(&self, video_path: &Path, output_path: &Path) -> Result<()> {
let status = Command::new("ffmpeg")
.args([
"-i",
video_path.to_str().ok_or_else(|| {
AnalysisError::Io(std::io::Error::new(
std::io::ErrorKind::InvalidInput,
"Invalid video path",
))
})?,
"-vn", // No video
"-acodec",
"pcm_s16le", // 16-bit PCM
"-ar",
"16000", // 16kHz sample rate (Whisper optimal)
"-ac",
"1", // Mono
output_path.to_str().ok_or_else(|| {
AnalysisError::Io(std::io::Error::new(
std::io::ErrorKind::InvalidInput,
"Invalid output path",
))
})?,
"-y",
])
.status()
.await?;
if !status.success() {
return Err(AnalysisError::Ffmpeg("Audio extraction failed".to_string()));
}
Ok(())
}
/// Extract audio segment between timestamps
pub async fn extract_segment(
&self,
video_path: &Path,
start: f64,
end: f64,
output_path: &Path,
) -> Result<()> {
let duration = end - start;
let status = Command::new("ffmpeg")
.args([
"-ss",
&format!("{start:.3}"),
"-t",
&format!("{duration:.3}"),
"-i",
video_path.to_str().ok_or_else(|| {
AnalysisError::Io(std::io::Error::new(
std::io::ErrorKind::InvalidInput,
"Invalid video path",
))
})?,
"-vn",
"-acodec",
"pcm_s16le",
"-ar",
"16000",
"-ac",
"1",
output_path.to_str().ok_or_else(|| {
AnalysisError::Io(std::io::Error::new(
std::io::ErrorKind::InvalidInput,
"Invalid output path",
))
})?,
"-y",
])
.status()
.await?;
if !status.success() {
return Err(AnalysisError::Ffmpeg(
"Audio segment extraction failed".to_string(),
));
}
Ok(())
}
}
impl Default for AudioExtractor {
fn default() -> Self {
Self::new()
}
}
/// `FFprobe` JSON output structure
#[derive(Debug, Deserialize)]
struct FfprobeOutput {
streams: Vec<FfprobeStream>,
format: FfprobeFormat,
}
#[derive(Debug, Deserialize)]
struct FfprobeStream {
codec_type: Option<String>,
width: Option<u32>,
height: Option<u32>,
r_frame_rate: Option<String>,
channels: Option<u32>,
sample_rate: Option<String>,
}
#[derive(Debug, Deserialize)]
struct FfprobeFormat {
#[serde(default)]
duration: String,
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_frame_extractor_new() {
let extractor = FrameExtractor::new(0.4, 50);
assert!((extractor.scene_threshold - 0.4).abs() < f32::EPSILON);
assert_eq!(extractor.max_frames, 50);
}
}