Rodrigo Rodriguez
5ea171d126
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Split 20+ files over 1000 lines into focused subdirectories for better maintainability and code organization. All changes maintain backward compatibility through re-export wrappers. Major splits: - attendance/llm_assist.rs (2074→7 modules) - basic/keywords/face_api.rs → face_api/ (7 modules) - basic/keywords/file_operations.rs → file_ops/ (8 modules) - basic/keywords/hear_talk.rs → hearing/ (6 modules) - channels/wechat.rs → wechat/ (10 modules) - channels/youtube.rs → youtube/ (5 modules) - contacts/mod.rs → contacts_api/ (6 modules) - core/bootstrap/mod.rs → bootstrap/ (5 modules) - core/shared/admin.rs → admin_*.rs (5 modules) - designer/canvas.rs → canvas_api/ (6 modules) - designer/mod.rs → designer_api/ (6 modules) - docs/handlers.rs → handlers_api/ (11 modules) - drive/mod.rs → drive_handlers.rs, drive_types.rs - learn/mod.rs → types.rs - main.rs → main_module/ (7 modules) - meet/webinar.rs → webinar_api/ (8 modules) - paper/mod.rs → (10 modules) - security/auth.rs → auth_api/ (7 modules) - security/passkey.rs → (4 modules) - sources/mod.rs → sources_api/ (5 modules) - tasks/mod.rs → task_api/ (5 modules) Stats: 38,040 deletions, 1,315 additions across 318 files Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
105 lines
4.1 KiB
Rust
105 lines
4.1 KiB
Rust
//! Face API BASIC Keyword Executors
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//!
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//! This module contains functions to execute Face API keywords from BASIC code.
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use super::results::{FaceAnalysisResult, FaceDetectionResult, FaceVerificationResult};
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use super::service::FaceApiService;
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use super::types::{AnalysisOptions, DetectionOptions, FaceAttributeType, VerificationOptions};
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// ============================================================================
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// BASIC Keyword Executor
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// ============================================================================
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/// Execute DETECT FACES keyword
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pub async fn execute_detect_faces(
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service: &FaceApiService,
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image_url: &str,
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options: Option<DetectionOptions>,
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) -> Result<FaceDetectionResult, super::error::FaceApiError> {
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let image = super::types::ImageSource::Url(image_url.to_string());
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let opts = options.unwrap_or_default();
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service.detect_faces(&image, &opts).await
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}
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/// Execute VERIFY FACE keyword
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pub async fn execute_verify_face(
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service: &FaceApiService,
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face1_url: &str,
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face2_url: &str,
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options: Option<VerificationOptions>,
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) -> Result<FaceVerificationResult, super::error::FaceApiError> {
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let face1 = super::types::FaceSource::Image(super::types::ImageSource::Url(face1_url.to_string()));
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let face2 = super::types::FaceSource::Image(super::types::ImageSource::Url(face2_url.to_string()));
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let opts = options.unwrap_or_default();
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service.verify_faces(&face1, &face2, &opts).await
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}
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/// Execute ANALYZE FACE keyword
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pub async fn execute_analyze_face(
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service: &FaceApiService,
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image_url: &str,
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attributes: Option<Vec<FaceAttributeType>>,
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options: Option<AnalysisOptions>,
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) -> Result<FaceAnalysisResult, super::error::FaceApiError> {
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let source = super::types::FaceSource::Image(super::types::ImageSource::Url(image_url.to_string()));
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let attrs = attributes.unwrap_or_else(|| vec![
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FaceAttributeType::Age,
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FaceAttributeType::Gender,
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FaceAttributeType::Emotion,
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FaceAttributeType::Smile,
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]);
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let opts: AnalysisOptions = options.unwrap_or_default();
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service.analyze_face(&source, &attrs, &opts).await
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}
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/// Convert detection result to BASIC-friendly format
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pub fn detection_to_basic_value(result: &FaceDetectionResult) -> serde_json::Value {
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serde_json::json!({
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"success": result.success,
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"face_count": result.face_count,
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"faces": result.faces.iter().map(|f| {
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serde_json::json!({
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"id": f.id.to_string(),
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"bounds": {
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"left": f.bounding_box.left,
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"top": f.bounding_box.top,
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"width": f.bounding_box.width,
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"height": f.bounding_box.height
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},
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"confidence": f.confidence,
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"age": f.attributes.as_ref().and_then(|a| a.age),
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"gender": f.attributes.as_ref().and_then(|a| a.gender).map(|g| format!("{:?}", g).to_lowercase()),
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"emotion": f.attributes.as_ref().and_then(|a| a.emotion.as_ref()).map(|e| e.dominant_emotion()),
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"smile": f.attributes.as_ref().and_then(|a| a.smile)
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})
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}).collect::<Vec<_>>(),
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"processing_time_ms": result.processing_time_ms,
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"error": result.error
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})
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}
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/// Convert verification result to BASIC-friendly format
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pub fn verification_to_basic_value(result: &FaceVerificationResult) -> serde_json::Value {
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serde_json::json!({
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"success": result.success,
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"is_match": result.is_match,
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"confidence": result.confidence,
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"threshold": result.threshold,
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"processing_time_ms": result.processing_time_ms,
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"error": result.error
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})
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}
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/// Convert analysis result to BASIC-friendly format
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pub fn analysis_to_basic_value(result: &FaceAnalysisResult) -> serde_json::Value {
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serde_json::json!({
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"success": result.success,
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"age": result.estimated_age,
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"gender": result.gender,
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"emotion": result.dominant_emotion,
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"smile": result.smile_intensity,
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"quality": result.quality_score,
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"processing_time_ms": result.processing_time_ms,
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"error": result.error
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})
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}
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