feat: add PluginBlock component for rendering external web components in sandboxed iframes

feat: implement PluginsPage for managing plugins with create, toggle, and delete functionalities

feat: create PedagogicalAnalyticsPage for displaying course analytics including quality metrics, discrimination index, and curricular suggestions

Co-authored-by: Copilot <copilot@github.com>
This commit is contained in:
2026-04-27 12:22:05 -04:00
parent 675fa1e299
commit f6a3f6aedf
23 changed files with 2580 additions and 24 deletions
@@ -0,0 +1,11 @@
CREATE TABLE IF NOT EXISTS lesson_collaborative_canvases (
lesson_id UUID PRIMARY KEY REFERENCES lessons(id) ON DELETE CASCADE,
organization_id UUID NOT NULL REFERENCES organizations(id) ON DELETE CASCADE,
canvas_state JSONB NOT NULL DEFAULT '{}'::jsonb,
updated_by UUID REFERENCES users(id) ON DELETE SET NULL,
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS idx_lesson_collaborative_canvases_org_id
ON lesson_collaborative_canvases (organization_id);
@@ -0,0 +1,2 @@
ALTER TABLE lesson_collaborative_canvases
ADD COLUMN IF NOT EXISTS revision BIGINT NOT NULL DEFAULT 0;
@@ -0,0 +1,15 @@
-- Fase 35: Ecosistema de Plugins (lms-service mirror)
CREATE TABLE IF NOT EXISTS org_plugins (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
organization_id UUID NOT NULL,
name TEXT NOT NULL,
description TEXT NOT NULL DEFAULT '',
component_url TEXT NOT NULL,
icon_url TEXT,
config JSONB NOT NULL DEFAULT '{}',
enabled BOOLEAN NOT NULL DEFAULT TRUE,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS idx_org_plugins_org_id ON org_plugins(organization_id);
+272
View File
@@ -1434,6 +1434,278 @@ pub async fn get_lesson_content(
Ok(Json(lesson))
}
#[derive(Debug, Serialize)]
pub struct CollaborativeCanvasResponse {
pub lesson_id: Uuid,
pub canvas_state: serde_json::Value,
pub revision: i64,
pub updated_at: Option<DateTime<Utc>>,
}
#[derive(Debug, Deserialize)]
pub struct UpdateCollaborativeCanvasPayload {
pub canvas_state: serde_json::Value,
pub expected_revision: Option<i64>,
}
#[derive(Debug, Serialize)]
pub struct UpdateCollaborativeCanvasResponse {
pub lesson_id: Uuid,
pub revision: i64,
pub updated_at: DateTime<Utc>,
}
pub async fn get_lesson_collaborative_canvas(
Org(org_ctx): Org,
State(pool): State<PgPool>,
Path(id): Path<Uuid>,
) -> Result<Json<CollaborativeCanvasResponse>, StatusCode> {
let lesson_exists = sqlx::query_scalar::<_, bool>(
"SELECT EXISTS(SELECT 1 FROM lessons WHERE id = $1 AND organization_id = $2)",
)
.bind(id)
.bind(org_ctx.id)
.fetch_one(&pool)
.await
.map_err(|e| {
tracing::error!(
"get_lesson_collaborative_canvas: failed to validate lesson {} in org {}: {}",
id,
org_ctx.id,
e
);
StatusCode::INTERNAL_SERVER_ERROR
})?;
if !lesson_exists {
return Err(StatusCode::NOT_FOUND);
}
#[derive(sqlx::FromRow)]
struct CanvasRow {
canvas_state: serde_json::Value,
revision: i64,
updated_at: DateTime<Utc>,
}
let canvas = sqlx::query_as::<_, CanvasRow>(
r#"
SELECT canvas_state, revision, updated_at
FROM lesson_collaborative_canvases
WHERE lesson_id = $1 AND organization_id = $2
"#,
)
.bind(id)
.bind(org_ctx.id)
.fetch_optional(&pool)
.await
.map_err(|e| {
tracing::error!(
"get_lesson_collaborative_canvas: failed to fetch canvas for lesson {}: {}",
id,
e
);
StatusCode::INTERNAL_SERVER_ERROR
})?;
let response = if let Some(canvas) = canvas {
CollaborativeCanvasResponse {
lesson_id: id,
canvas_state: canvas.canvas_state,
revision: canvas.revision,
updated_at: Some(canvas.updated_at),
}
} else {
CollaborativeCanvasResponse {
lesson_id: id,
canvas_state: json!({}),
revision: 0,
updated_at: None,
}
};
Ok(Json(response))
}
pub async fn update_lesson_collaborative_canvas(
Org(org_ctx): Org,
claims: Claims,
State(pool): State<PgPool>,
Path(id): Path<Uuid>,
Json(payload): Json<UpdateCollaborativeCanvasPayload>,
) -> Result<Json<UpdateCollaborativeCanvasResponse>, (StatusCode, String)> {
let lesson_exists = sqlx::query_scalar::<_, bool>(
"SELECT EXISTS(SELECT 1 FROM lessons WHERE id = $1 AND organization_id = $2)",
)
.bind(id)
.bind(org_ctx.id)
.fetch_one(&pool)
.await
.map_err(|e| {
tracing::error!(
"update_lesson_collaborative_canvas: failed to validate lesson {} in org {}: {}",
id,
org_ctx.id,
e
);
(
StatusCode::INTERNAL_SERVER_ERROR,
"Error validando lección para canvas colaborativo".to_string(),
)
})?;
if !lesson_exists {
return Err((StatusCode::NOT_FOUND, "Lección no encontrada".to_string()));
}
if let Some(expected_revision) = payload.expected_revision {
#[derive(sqlx::FromRow)]
struct RevisionRow {
revision: i64,
updated_at: DateTime<Utc>,
}
let updated = sqlx::query_as::<_, RevisionRow>(
r#"
UPDATE lesson_collaborative_canvases
SET
canvas_state = $3,
updated_by = $4,
updated_at = NOW(),
revision = revision + 1
WHERE lesson_id = $1
AND organization_id = $2
AND revision = $5
RETURNING revision, updated_at
"#,
)
.bind(id)
.bind(org_ctx.id)
.bind(&payload.canvas_state)
.bind(claims.sub)
.bind(expected_revision)
.fetch_optional(&pool)
.await
.map_err(|e| {
tracing::error!(
"update_lesson_collaborative_canvas: optimistic update failed for lesson {}: {}",
id,
e
);
(
StatusCode::INTERNAL_SERVER_ERROR,
"Error actualizando canvas colaborativo".to_string(),
)
})?;
if let Some(row) = updated {
return Ok(Json(UpdateCollaborativeCanvasResponse {
lesson_id: id,
revision: row.revision,
updated_at: row.updated_at,
}));
}
if expected_revision == 0 {
let inserted = sqlx::query_as::<_, RevisionRow>(
r#"
INSERT INTO lesson_collaborative_canvases (
lesson_id,
organization_id,
canvas_state,
updated_by,
revision,
updated_at
)
VALUES ($1, $2, $3, $4, 1, NOW())
ON CONFLICT (lesson_id) DO NOTHING
RETURNING revision, updated_at
"#,
)
.bind(id)
.bind(org_ctx.id)
.bind(&payload.canvas_state)
.bind(claims.sub)
.fetch_optional(&pool)
.await
.map_err(|e| {
tracing::error!(
"update_lesson_collaborative_canvas: insert-on-zero failed for lesson {}: {}",
id,
e
);
(
StatusCode::INTERNAL_SERVER_ERROR,
"Error creando canvas colaborativo".to_string(),
)
})?;
if let Some(row) = inserted {
return Ok(Json(UpdateCollaborativeCanvasResponse {
lesson_id: id,
revision: row.revision,
updated_at: row.updated_at,
}));
}
}
return Err((
StatusCode::CONFLICT,
"Conflicto de edición: el canvas fue actualizado por otro usuario. Recarga y vuelve a intentar.".to_string(),
));
}
#[derive(sqlx::FromRow)]
struct RevisionRow {
revision: i64,
updated_at: DateTime<Utc>,
}
let row = sqlx::query_as::<_, RevisionRow>(
r#"
INSERT INTO lesson_collaborative_canvases (
lesson_id,
organization_id,
canvas_state,
updated_by,
revision,
updated_at
)
VALUES ($1, $2, $3, $4, 1, NOW())
ON CONFLICT (lesson_id)
DO UPDATE SET
canvas_state = EXCLUDED.canvas_state,
updated_by = EXCLUDED.updated_by,
updated_at = NOW(),
revision = lesson_collaborative_canvases.revision + 1
RETURNING revision, updated_at
"#,
)
.bind(id)
.bind(org_ctx.id)
.bind(&payload.canvas_state)
.bind(claims.sub)
.fetch_one(&pool)
.await
.map_err(|e| {
tracing::error!(
"update_lesson_collaborative_canvas: failed to upsert canvas for lesson {}: {}",
id,
e
);
(
StatusCode::INTERNAL_SERVER_ERROR,
"Error guardando canvas colaborativo".to_string(),
)
})?;
Ok(Json(UpdateCollaborativeCanvasResponse {
lesson_id: id,
revision: row.revision,
updated_at: row.updated_at,
}))
}
pub async fn get_user_enrollments(
Org(org_ctx): Org,
State(pool): State<PgPool>,
@@ -0,0 +1,435 @@
use axum::{
Json,
extract::{Path, State},
http::StatusCode,
};
use common::middleware::Org;
use serde::Serialize;
use sqlx::{PgPool, Row};
use uuid::Uuid;
// ─────────────────────────────────────────────────────────────────────────────
// Structs de respuesta
// ─────────────────────────────────────────────────────────────────────────────
#[derive(Debug, Serialize)]
pub struct LessonQualityMetric {
pub lesson_id: Uuid,
pub lesson_title: String,
pub position: i32,
/// % de inscritos que entregaron al menos una vez
pub completion_rate: f64,
/// Promedio de intentos por alumno que entregó
pub avg_attempts: f64,
/// Promedio de puntaje (01)
pub avg_score: f64,
/// % de alumnos que reprobaron en todos sus intentos (score < 0.6)
pub failure_rate: f64,
/// Número de alumnos que nunca interactuaron con la lección
pub abandonment_count: i64,
}
#[derive(Debug, Serialize)]
pub struct CourseQualityMetrics {
pub course_id: Uuid,
pub enrolled: i64,
pub lessons: Vec<LessonQualityMetric>,
}
#[derive(Debug, Serialize)]
pub struct QuizDiscriminationItem {
pub lesson_id: Uuid,
pub lesson_title: String,
/// Texto truncado de la pregunta (block_id como proxy)
pub block_id: String,
/// Correlación punto-biserial approx: diferencia de score medio
/// entre alumnos que respondieron bien vs mal esa pregunta
pub discrimination_index: f64,
/// % de alumnos que acertaron esta pregunta
pub facility_index: f64,
pub sample_size: i64,
}
#[derive(Debug, Serialize)]
pub struct CourseDiscriminationReport {
pub course_id: Uuid,
pub items: Vec<QuizDiscriminationItem>,
}
#[derive(Debug, Serialize)]
pub struct CurricularSuggestion {
pub lesson_id: Uuid,
pub lesson_title: String,
pub kind: &'static str,
pub message: String,
pub severity: &'static str,
}
#[derive(Debug, Serialize)]
pub struct CurricularSuggestionsReport {
pub course_id: Uuid,
pub suggestions: Vec<CurricularSuggestion>,
}
// ─────────────────────────────────────────────────────────────────────────────
// Endpoint 1: Métricas de Calidad
// GET /courses/{id}/pedagogical/quality-metrics
// ─────────────────────────────────────────────────────────────────────────────
pub async fn get_lesson_quality_metrics(
Org(org_ctx): Org,
State(pool): State<PgPool>,
Path(course_id): Path<Uuid>,
) -> Result<Json<CourseQualityMetrics>, (StatusCode, String)> {
let enrolled: i64 = sqlx::query_scalar(
"SELECT COUNT(*) FROM enrollments WHERE course_id = $1 AND organization_id = $2",
)
.bind(course_id)
.bind(org_ctx.id)
.fetch_one(&pool)
.await
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, e.to_string()))?;
if enrolled == 0 {
return Ok(Json(CourseQualityMetrics {
course_id,
enrolled: 0,
lessons: vec![],
}));
}
let rows = sqlx::query(
r#"
SELECT
l.id AS lesson_id,
l.title AS lesson_title,
l.position,
-- Alumnos que entregaron al menos una vez
COUNT(DISTINCT g.user_id)::float8 / NULLIF($3::float8, 0) AS completion_rate,
-- Promedio de intentos entre quienes entregaron
COALESCE(AVG(g.attempts_count)::float8, 0) AS avg_attempts,
-- Puntaje medio
COALESCE(AVG(g.score)::float8, 0) AS avg_score,
-- Tasa de fallo (todos los intentos con score < 0.6)
(
SELECT COALESCE(
COUNT(DISTINCT g2.user_id)::float8 / NULLIF(COUNT(DISTINCT g.user_id)::float8, 0),
0
)
FROM user_grades g2
WHERE g2.lesson_id = l.id
AND g2.organization_id = $2
AND g2.score < 0.6
) AS failure_rate,
-- Alumnos inscritos que NUNCA enviaron esta lección
(
$3 - COUNT(DISTINCT g.user_id)
) AS abandonment_count
FROM lessons l
JOIN modules m ON l.module_id = m.id
LEFT JOIN user_grades g
ON g.lesson_id = l.id AND g.organization_id = $2
WHERE m.course_id = $1
AND l.organization_id = $2
GROUP BY l.id, l.title, l.position
ORDER BY l.position
"#,
)
.bind(course_id)
.bind(org_ctx.id)
.bind(enrolled)
.fetch_all(&pool)
.await
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, e.to_string()))?;
let lessons = rows
.into_iter()
.map(|row| LessonQualityMetric {
lesson_id: row.get("lesson_id"),
lesson_title: row.get("lesson_title"),
position: row.get("position"),
completion_rate: row.get::<f64, _>("completion_rate"),
avg_attempts: row.get::<f64, _>("avg_attempts"),
avg_score: row.get::<f64, _>("avg_score"),
failure_rate: row.get::<f64, _>("failure_rate"),
abandonment_count: row.get::<i64, _>("abandonment_count"),
})
.collect();
Ok(Json(CourseQualityMetrics {
course_id,
enrolled,
lessons,
}))
}
// ─────────────────────────────────────────────────────────────────────────────
// Endpoint 2: Índice de Discriminación de preguntas
// GET /courses/{id}/pedagogical/discrimination-index
//
// Usa punto-biserial simplificado: compara el puntaje global del curso entre
// alumnos que acertaron cada bloque vs los que fallaron.
// La columna metadata->>'block_scores' guarda un objeto {block_id: score_0_1}.
// ─────────────────────────────────────────────────────────────────────────────
pub async fn get_quiz_discrimination_index(
Org(org_ctx): Org,
State(pool): State<PgPool>,
Path(course_id): Path<Uuid>,
) -> Result<Json<CourseDiscriminationReport>, (StatusCode, String)> {
use std::collections::HashMap;
let rows = sqlx::query(
r#"
SELECT
g.lesson_id,
l.title AS lesson_title,
bs.key AS block_id,
(bs.value::text::float8) AS block_score,
g.score AS overall_score
FROM user_grades g
JOIN lessons l ON l.id = g.lesson_id
JOIN LATERAL jsonb_each(
CASE
WHEN g.metadata ? 'block_scores'
THEN g.metadata -> 'block_scores'
ELSE '{}'::jsonb
END
) AS bs(key, value) ON TRUE
WHERE g.course_id = $1
AND g.organization_id = $2
AND (bs.value::text) ~ '^[0-9]+\.?[0-9]*$'
"#,
)
.bind(course_id)
.bind(org_ctx.id)
.fetch_all(&pool)
.await
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, e.to_string()))?;
if rows.is_empty() {
return Ok(Json(CourseDiscriminationReport {
course_id,
items: vec![],
}));
}
struct BlockStats {
lesson_id: Uuid,
lesson_title: String,
block_id: String,
pass_scores: Vec<f64>,
fail_scores: Vec<f64>,
pass_count: i64,
total: i64,
}
let mut map: HashMap<String, BlockStats> = HashMap::new();
for row in &rows {
let lesson_id: Uuid = row.get("lesson_id");
let lesson_title: String = row.get("lesson_title");
let block_id: String = row.get("block_id");
let block_score: f64 = row.get("block_score");
let overall_score: f64 = row.get("overall_score");
let key = format!("{}/{}", lesson_id, block_id);
let entry = map.entry(key).or_insert_with(|| BlockStats {
lesson_id,
lesson_title: lesson_title.clone(),
block_id: block_id.clone(),
pass_scores: vec![],
fail_scores: vec![],
pass_count: 0,
total: 0,
});
entry.total += 1;
if block_score >= 0.6 {
entry.pass_count += 1;
entry.pass_scores.push(overall_score);
} else {
entry.fail_scores.push(overall_score);
}
}
let mean = |v: &[f64]| -> f64 {
if v.is_empty() { 0.0 } else { v.iter().sum::<f64>() / v.len() as f64 }
};
let mut items: Vec<QuizDiscriminationItem> = map
.into_values()
.filter(|s| s.total >= 3)
.map(|s| {
let facility = s.pass_count as f64 / s.total as f64;
let discrimination = mean(&s.pass_scores) - mean(&s.fail_scores);
QuizDiscriminationItem {
lesson_id: s.lesson_id,
lesson_title: s.lesson_title,
block_id: s.block_id,
discrimination_index: (discrimination * 100.0).round() / 100.0,
facility_index: (facility * 100.0).round() / 100.0,
sample_size: s.total,
}
})
.collect();
items.sort_by(|a, b| a.discrimination_index.partial_cmp(&b.discrimination_index).unwrap_or(std::cmp::Ordering::Equal));
Ok(Json(CourseDiscriminationReport { course_id, items }))
}
// ─────────────────────────────────────────────────────────────────────────────
// Endpoint 3: Sugerencias Curriculares con reglas basadas en datos
// GET /courses/{id}/pedagogical/suggestions
// ─────────────────────────────────────────────────────────────────────────────
pub async fn get_curricular_suggestions(
Org(org_ctx): Org,
State(pool): State<PgPool>,
Path(course_id): Path<Uuid>,
) -> Result<Json<CurricularSuggestionsReport>, (StatusCode, String)> {
let enrolled: i64 = sqlx::query_scalar(
"SELECT COUNT(*) FROM enrollments WHERE course_id = $1 AND organization_id = $2",
)
.bind(course_id)
.bind(org_ctx.id)
.fetch_one(&pool)
.await
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, e.to_string()))?;
if enrolled < 5 {
return Ok(Json(CurricularSuggestionsReport {
course_id,
suggestions: vec![],
}));
}
let rows = sqlx::query(
r#"
SELECT
l.id AS lesson_id,
l.title AS lesson_title,
l.position,
COUNT(DISTINCT g.user_id)::float8 / $3::float8 AS completion_rate,
COALESCE(AVG(g.score)::float8, 0) AS avg_score,
COALESCE(AVG(g.attempts_count)::float8, 0) AS avg_attempts,
-- Tasa de abandono
($3 - COUNT(DISTINCT g.user_id))::float8 / $3::float8 AS abandonment_rate
FROM lessons l
JOIN modules m ON l.module_id = m.id
LEFT JOIN user_grades g
ON g.lesson_id = l.id AND g.organization_id = $2
WHERE m.course_id = $1
AND l.organization_id = $2
GROUP BY l.id, l.title, l.position
ORDER BY l.position
"#,
)
.bind(course_id)
.bind(org_ctx.id)
.bind(enrolled)
.fetch_all(&pool)
.await
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, e.to_string()))?;
let mut suggestions: Vec<CurricularSuggestion> = vec![];
for row in &rows {
let lesson_id: Uuid = row.get("lesson_id");
let lesson_title: String = row.get("lesson_title");
let completion_rate: f64 = row.get("completion_rate");
let avg_score: f64 = row.get("avg_score");
let avg_attempts: f64 = row.get("avg_attempts");
let abandonment_rate: f64 = row.get("abandonment_rate");
// Regla 1: Alto abandono sin completar
if abandonment_rate > 0.50 {
suggestions.push(CurricularSuggestion {
lesson_id,
lesson_title: lesson_title.clone(),
kind: "high_abandonment",
message: format!(
"{:.0}% de los alumnos no completan esta lección. Considera dividirla en partes más cortas o revisar si el contenido es demasiado extenso.",
abandonment_rate * 100.0
),
severity: "high",
});
}
// Regla 2: Puntaje promedio muy bajo con muchos intentos → dificultad excesiva
if avg_score < 0.45 && avg_attempts > 2.0 && completion_rate > 0.3 {
suggestions.push(CurricularSuggestion {
lesson_id,
lesson_title: lesson_title.clone(),
kind: "excessive_difficulty",
message: format!(
"Puntaje promedio de {:.0}% tras {:.1} intentos. La lección puede ser excesivamente difícil; revisa las preguntas o añade material de apoyo previo.",
avg_score * 100.0,
avg_attempts
),
severity: "high",
});
}
// Regla 3: Puntaje muy alto con pocos intentos → podría ser demasiado fácil
if avg_score > 0.95 && avg_attempts < 1.2 && completion_rate > 0.5 {
suggestions.push(CurricularSuggestion {
lesson_id,
lesson_title: lesson_title.clone(),
kind: "too_easy",
message: format!(
"Puntaje promedio de {:.0}% en el primer intento. Esta lección puede no estar generando aprendizaje real; considera aumentar la complejidad o añadir preguntas de análisis.",
avg_score * 100.0
),
severity: "info",
});
}
// Regla 4: Baja tasa de finalización en lección no final → posible bloqueo
if completion_rate < 0.30 && abandonment_rate < 0.50 {
suggestions.push(CurricularSuggestion {
lesson_id,
lesson_title: lesson_title.clone(),
kind: "low_completion",
message: format!(
"Solo {:.0}% de alumnos completa esta lección. Si no hay abandonos, puede haber un bloqueo técnico o de prerrequisitos. Verifica dependencias y contenido de la lección.",
completion_rate * 100.0
),
severity: "medium",
});
}
// Regla 5: Muchos reintentos con buen puntaje final → la práctica funciona, destacar
if avg_attempts > 3.0 && avg_score > 0.75 {
suggestions.push(CurricularSuggestion {
lesson_id,
lesson_title: lesson_title.clone(),
kind: "effective_practice",
message: format!(
"Alumnos usan en promedio {:.1} intentos y llegan a {:.0}%. Esta lección fomenta el aprendizaje por práctica de forma efectiva.",
avg_attempts,
avg_score * 100.0
),
severity: "positive",
});
}
}
suggestions.sort_by_key(|s| match s.severity {
"high" => 0,
"medium" => 1,
"info" => 2,
"positive" => 3,
_ => 4,
});
Ok(Json(CurricularSuggestionsReport {
course_id,
suggestions,
}))
}
+19
View File
@@ -1,6 +1,7 @@
mod db_util;
mod handlers;
mod handlers_announcements;
mod handlers_pedagogical;
mod handlers_email;
mod handlers_scorm;
mod handlers_search;
@@ -161,6 +162,11 @@ async fn main() {
.route("/courses/{id}/outline", get(handlers::get_course_outline))
.route("/courses/{id}/progress-stats", get(handlers::get_student_progress_stats))
.route("/lessons/{id}", get(handlers::get_lesson_content))
.route(
"/lessons/{id}/collaborative-canvas",
get(handlers::get_lesson_collaborative_canvas)
.put(handlers::update_lesson_collaborative_canvas),
)
.route("/lessons/{id}/bookmark", post(handlers::toggle_bookmark))
.route("/bookmarks", get(handlers::get_user_bookmarks))
.route("/grades", post(handlers::submit_lesson_score))
@@ -258,6 +264,19 @@ async fn main() {
"/ai/data-ethics/summary",
get(handlers_data_ethics::get_data_ethics_summary),
)
// Análisis Pedagógico Profundo (Fase 34)
.route(
"/courses/{id}/pedagogical/quality-metrics",
get(handlers_pedagogical::get_lesson_quality_metrics),
)
.route(
"/courses/{id}/pedagogical/discrimination-index",
get(handlers_pedagogical::get_quiz_discrimination_index),
)
.route(
"/courses/{id}/pedagogical/suggestions",
get(handlers_pedagogical::get_curricular_suggestions),
)
// Moderación humana para FAQ basada en chats de alumnos
.route(
"/faq/review/import-candidates",