oxirs-vec 0.2.4

Vector index abstractions for semantic similarity and AI-augmented querying
Documentation
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//! Multimedia format handlers for content processing
//!
//! This module provides handlers for image, audio, and video content processing,
//! including feature extraction, metadata parsing, and embedding generation.

#[cfg(feature = "content-processing")]
use crate::content_processing::{
    AudioEnergyMetrics, AudioFeatures, ContentExtractionConfig, ContentLocation, DocumentFormat,
    DocumentStructure, ExtractedAudio, ExtractedContent, ExtractedImage, ExtractedVideo,
    FormatHandler, MotionAnalysis, MusicAnalysis, PitchStatistics, ProcessingStats, SpeechAnalysis,
    VideoAnalysis,
};
#[cfg(feature = "content-processing")]
use anyhow::{anyhow, Result};
#[cfg(feature = "content-processing")]
use base64::{engine::general_purpose::STANDARD, Engine as _};
#[cfg(feature = "content-processing")]
use std::collections::HashMap;

/// Image handler for various image formats (JPEG, PNG, GIF, WebP, etc.)
#[cfg(feature = "content-processing")]
pub struct ImageHandler;

#[cfg(feature = "content-processing")]
impl FormatHandler for ImageHandler {
    fn extract_content(
        &self,
        data: &[u8],
        config: &ContentExtractionConfig,
    ) -> Result<ExtractedContent> {
        let mut metadata = HashMap::new();
        let mut images = Vec::new();

        // Basic image detection and format identification
        let format = detect_image_format(data)?;
        metadata.insert("format".to_string(), format.clone());

        if config.extract_images || config.generate_image_embeddings {
            let extracted_image = extract_image_features(data, config)?;
            images.push(extracted_image);
        }

        // Extract basic metadata
        if config.extract_metadata {
            if let Ok(dimensions) = get_image_dimensions(data) {
                metadata.insert("width".to_string(), dimensions.0.to_string());
                metadata.insert("height".to_string(), dimensions.1.to_string());
            }
        }

        let text = if config.extract_text {
            format!("Image content: {} format, {} bytes", format, data.len())
        } else {
            String::new()
        };

        Ok(ExtractedContent {
            format: DocumentFormat::Image,
            text,
            metadata,
            images,
            tables: Vec::new(),
            links: Vec::new(),
            structure: DocumentStructure {
                title: None,
                headings: Vec::new(),
                page_count: 1,
                section_count: 1,
                table_of_contents: Vec::new(),
            },
            chunks: Vec::new(),
            language: None,
            processing_stats: ProcessingStats::default(),
            audio_content: Vec::new(),
            video_content: Vec::new(),
            cross_modal_embeddings: Vec::new(),
        })
    }

    fn can_handle(&self, data: &[u8]) -> bool {
        detect_image_format(data).is_ok()
    }

    fn supported_extensions(&self) -> Vec<&'static str> {
        vec![
            "jpg", "jpeg", "png", "gif", "webp", "bmp", "tiff", "tif", "svg",
        ]
    }
}

/// Audio handler for various audio formats (MP3, WAV, OGG, FLAC, etc.)
#[cfg(feature = "content-processing")]
pub struct AudioHandler;

#[cfg(feature = "content-processing")]
impl FormatHandler for AudioHandler {
    fn extract_content(
        &self,
        data: &[u8],
        config: &ContentExtractionConfig,
    ) -> Result<ExtractedContent> {
        let mut metadata = HashMap::new();
        let mut audio_content = Vec::new();

        let format = detect_audio_format(data)?;
        metadata.insert("format".to_string(), format.clone());

        if config.extract_audio_features {
            let extracted_audio = extract_audio_features(data, config)?;
            audio_content.push(extracted_audio);
        }

        let text = if config.extract_text {
            format!("Audio content: {} format, {} bytes", format, data.len())
        } else {
            String::new()
        };

        Ok(ExtractedContent {
            format: DocumentFormat::Audio,
            text,
            metadata,
            images: Vec::new(),
            tables: Vec::new(),
            links: Vec::new(),
            structure: DocumentStructure {
                title: None,
                headings: Vec::new(),
                page_count: 1,
                section_count: 1,
                table_of_contents: Vec::new(),
            },
            chunks: Vec::new(),
            language: None,
            processing_stats: ProcessingStats::default(),
            audio_content,
            video_content: Vec::new(),
            cross_modal_embeddings: Vec::new(),
        })
    }

    fn can_handle(&self, data: &[u8]) -> bool {
        detect_audio_format(data).is_ok()
    }

    fn supported_extensions(&self) -> Vec<&'static str> {
        vec!["mp3", "wav", "ogg", "flac", "aac", "m4a", "wma"]
    }
}

/// Video handler for various video formats (MP4, AVI, MKV, WebM, etc.)
#[cfg(feature = "content-processing")]
pub struct VideoHandler;

#[cfg(feature = "content-processing")]
impl FormatHandler for VideoHandler {
    fn extract_content(
        &self,
        data: &[u8],
        config: &ContentExtractionConfig,
    ) -> Result<ExtractedContent> {
        let mut metadata = HashMap::new();
        let mut video_content = Vec::new();

        let format = detect_video_format(data)?;
        metadata.insert("format".to_string(), format.clone());

        if config.extract_video_features {
            let extracted_video = extract_video_features(data, config)?;
            video_content.push(extracted_video);
        }

        let text = if config.extract_text {
            format!("Video content: {} format, {} bytes", format, data.len())
        } else {
            String::new()
        };

        Ok(ExtractedContent {
            format: DocumentFormat::Video,
            text,
            metadata,
            images: Vec::new(),
            tables: Vec::new(),
            links: Vec::new(),
            structure: DocumentStructure {
                title: None,
                headings: Vec::new(),
                page_count: 1,
                section_count: 1,
                table_of_contents: Vec::new(),
            },
            chunks: Vec::new(),
            language: None,
            processing_stats: ProcessingStats::default(),
            audio_content: Vec::new(),
            video_content,
            cross_modal_embeddings: Vec::new(),
        })
    }

    fn can_handle(&self, data: &[u8]) -> bool {
        detect_video_format(data).is_ok()
    }

    fn supported_extensions(&self) -> Vec<&'static str> {
        vec!["mp4", "avi", "mkv", "webm", "mov", "wmv", "flv", "m4v"]
    }
}

// Helper functions for format detection and feature extraction

#[cfg(feature = "content-processing")]
fn detect_image_format(data: &[u8]) -> Result<String> {
    if data.len() < 8 {
        return Err(anyhow!("Data too short to determine image format"));
    }

    // Magic byte detection for common image formats
    match &data[0..4] {
        [0xFF, 0xD8, 0xFF, _] => Ok("JPEG".to_string()),
        [0x89, 0x50, 0x4E, 0x47] => Ok("PNG".to_string()),
        [0x47, 0x49, 0x46, 0x38] => Ok("GIF".to_string()),
        _ => {
            if data.starts_with(b"RIFF") && data[8..12] == *b"WEBP" {
                Ok("WebP".to_string())
            } else if data.starts_with(b"BM") {
                Ok("BMP".to_string())
            } else if data.starts_with(b"II*\0") || data.starts_with(b"MM\0*") {
                Ok("TIFF".to_string())
            } else if data.starts_with(b"<svg") || data.starts_with(b"<?xml") {
                Ok("SVG".to_string())
            } else {
                Err(anyhow!("Unknown image format"))
            }
        }
    }
}

#[cfg(feature = "content-processing")]
fn detect_audio_format(data: &[u8]) -> Result<String> {
    if data.len() < 12 {
        return Err(anyhow!("Data too short to determine audio format"));
    }

    // Magic byte detection for common audio formats
    if data.starts_with(b"ID3") || (data.len() > 2 && data[0] == 0xFF && (data[1] & 0xE0) == 0xE0) {
        Ok("MP3".to_string())
    } else if data.starts_with(b"RIFF") && data[8..12] == *b"WAVE" {
        Ok("WAV".to_string())
    } else if data.starts_with(b"OggS") {
        Ok("OGG".to_string())
    } else if data.starts_with(b"fLaC") {
        Ok("FLAC".to_string())
    } else if data[4..8] == *b"ftyp" {
        Ok("M4A/AAC".to_string())
    } else {
        Err(anyhow!("Unknown audio format"))
    }
}

#[cfg(feature = "content-processing")]
fn detect_video_format(data: &[u8]) -> Result<String> {
    if data.len() < 12 {
        return Err(anyhow!("Data too short to determine video format"));
    }

    // Magic byte detection for common video formats
    if data[4..8] == *b"ftyp" {
        Ok("MP4".to_string())
    } else if data.starts_with(b"RIFF") && data[8..12] == *b"AVI " {
        Ok("AVI".to_string())
    } else if data.starts_with(&[0x1A, 0x45, 0xDF, 0xA3]) {
        Ok("MKV".to_string())
    } else if data.starts_with(&[0x1A, 0x45, 0xDF, 0xA3]) {
        Ok("WebM".to_string())
    } else {
        Err(anyhow!("Unknown video format"))
    }
}

#[cfg(feature = "content-processing")]
fn get_image_dimensions(data: &[u8]) -> Result<(u32, u32)> {
    // Simplified dimension extraction - in a real implementation,
    // you would use an image processing library like `image`
    match detect_image_format(data)?.as_str() {
        "PNG" => extract_png_dimensions(data),
        "JPEG" => extract_jpeg_dimensions(data),
        _ => Err(anyhow!(
            "Dimension extraction not implemented for this format"
        )),
    }
}

#[cfg(feature = "content-processing")]
fn extract_png_dimensions(data: &[u8]) -> Result<(u32, u32)> {
    if data.len() < 24 {
        return Err(anyhow!("PNG data too short"));
    }

    // PNG IHDR chunk starts at byte 16
    let width = u32::from_be_bytes([data[16], data[17], data[18], data[19]]);
    let height = u32::from_be_bytes([data[20], data[21], data[22], data[23]]);

    Ok((width, height))
}

#[cfg(feature = "content-processing")]
fn extract_jpeg_dimensions(_data: &[u8]) -> Result<(u32, u32)> {
    // JPEG dimension extraction is complex - would need proper parsing
    // For now, return a placeholder
    Ok((0, 0))
}

#[cfg(feature = "content-processing")]
fn extract_image_features(
    data: &[u8],
    _config: &ContentExtractionConfig,
) -> Result<ExtractedImage> {
    let format = detect_image_format(data)?;
    let dimensions = get_image_dimensions(data).unwrap_or((0, 0));

    // Create basic image structure - in real implementation would use computer vision libraries
    Ok(ExtractedImage {
        data: STANDARD.encode(data),
        format,
        width: dimensions.0,
        height: dimensions.1,
        alt_text: None,
        caption: None,
        location: ContentLocation {
            page: None,
            section: None,
            char_offset: None,
            line: None,
            column: None,
        },
        visual_features: None,
        embedding: None, // Would generate using vision model if config.generate_image_embeddings
        detected_objects: Vec::new(),
        classification_labels: Vec::new(),
    })
}

#[cfg(feature = "content-processing")]
fn extract_audio_features(
    data: &[u8],
    _config: &ContentExtractionConfig,
) -> Result<ExtractedAudio> {
    let format = detect_audio_format(data)?;

    // Create basic audio structure - in real implementation would use audio processing libraries
    Ok(ExtractedAudio {
        data: STANDARD.encode(data),
        format,
        duration: 0.0,      // Would extract from audio metadata
        sample_rate: 44100, // Default assumption
        channels: 2,        // Default assumption
        audio_features: Some(AudioFeatures {
            mfcc: None,
            spectral_features: None,
            rhythm_features: None,
            harmonic_features: None,
            zero_crossing_rate: 0.0,
            energy_metrics: AudioEnergyMetrics {
                rms_energy: 0.0,
                peak_amplitude: 0.0,
                average_loudness: 0.0,
                dynamic_range: 0.0,
            },
        }),
        embedding: None,
        transcription: None,
        music_analysis: Some(MusicAnalysis {
            tempo: None,
            key: None,
            time_signature: None,
            genre: None,
            valence: None,
            energy: None,
        }),
        speech_analysis: Some(SpeechAnalysis {
            language: None,
            speaker_gender: None,
            emotion: None,
            speech_rate: None,
            pitch_stats: Some(PitchStatistics {
                mean_pitch: 0.0,
                pitch_std: 0.0,
                pitch_range: 0.0,
            }),
        }),
    })
}

#[cfg(feature = "content-processing")]
fn extract_video_features(
    data: &[u8],
    _config: &ContentExtractionConfig,
) -> Result<ExtractedVideo> {
    let format = detect_video_format(data)?;

    // Create basic video structure - in real implementation would use video processing libraries
    Ok(ExtractedVideo {
        data: STANDARD.encode(data),
        format,
        duration: 0.0,            // Would extract from video metadata
        frame_rate: 30.0,         // Default assumption
        resolution: (1920, 1080), // Default assumption
        keyframes: Vec::new(),
        embedding: None,
        audio_analysis: None,
        video_analysis: Some(VideoAnalysis {
            scenes: Vec::new(),
            motion_analysis: Some(MotionAnalysis {
                average_motion: 0.0,
                motion_variance: 0.0,
                camera_motion: None,
                object_motion: Vec::new(),
            }),
            activity_level: 0.0,
            color_timeline: Vec::new(),
        }),
    })
}