use crate::audit::normalized::{AuditContext, NormalizedReport};
use crate::i18n::I18n;
use crate::output::report_model::{ModuleScore, ModulesBlock};
use crate::output::search_experience::build_search_experience;
use super::super::helpers::localized_module_name;
use super::super::modules::{
derive_accessibility_card_context, derive_accessibility_context, derive_accessibility_lever,
derive_mobile_card_context, derive_mobile_context, derive_mobile_lever,
derive_performance_card_context, derive_performance_context, derive_performance_lever,
derive_security_card_context, derive_security_context, derive_security_lever,
};
use super::module_details::normalized_module_score;
fn module_interpretation(normalized: &NormalizedReport, module: &str, locale: &str) -> String {
normalized
.interpretation
.as_ref()
.and_then(|i| i.per_module.get(module))
.map(|t| t.for_locale(locale).to_string())
.unwrap_or_default()
}
pub(super) fn build_modules_block_from_normalized(
i18n: &I18n,
normalized: &AuditContext<'_>,
) -> ModulesBlock {
let locale = i18n.locale();
let a11y_score = normalized.normalized.score as f32;
let mut dashboard = vec![ModuleScore {
name: localized_module_name("Accessibility", i18n),
score: a11y_score.round() as u32,
measurement_type: "measured".into(),
interpretation: module_interpretation(&normalized.normalized, "accessibility", locale),
card_context: derive_accessibility_card_context(i18n, &normalized.normalized),
score_context: derive_accessibility_context(i18n, &normalized.normalized),
key_lever: derive_accessibility_lever(i18n, &normalized.normalized),
good_threshold: 75,
warn_threshold: 50,
}];
if let Some(p) = normalized.raw_performance {
let score = normalized_module_score(&normalized.normalized, "Performance")
.unwrap_or(p.score.overall);
dashboard.push(ModuleScore {
name: "Performance".into(),
score,
measurement_type: "measured".into(),
interpretation: module_interpretation(&normalized.normalized, "performance", locale),
card_context: derive_performance_card_context(i18n, p),
score_context: derive_performance_context(i18n, p),
key_lever: derive_performance_lever(i18n, p),
good_threshold: 75,
warn_threshold: 50,
});
}
if let Some(search_experience) = build_search_experience(normalized, i18n) {
dashboard.push(ModuleScore {
name: search_experience.label.clone(),
score: search_experience.score,
measurement_type: "composite".into(),
interpretation: search_experience.interpretation.clone(),
card_context: search_experience.interpretation.clone(),
score_context: search_experience
.components
.iter()
.map(|c| format!("{} {}%: {}/100", c.label, c.weight_pct, c.score))
.collect::<Vec<_>>()
.join(", "),
key_lever: search_experience
.warnings
.first()
.cloned()
.unwrap_or_else(|| search_experience.interpretation.clone()),
good_threshold: 75,
warn_threshold: 50,
});
}
if let Some(s) = normalized.raw_security {
let score = normalized_module_score(&normalized.normalized, "Security").unwrap_or(s.score);
dashboard.push(ModuleScore {
name: localized_module_name("Security", i18n),
score,
measurement_type: "measured".into(),
interpretation: module_interpretation(&normalized.normalized, "security", locale),
card_context: derive_security_card_context(i18n, s),
score_context: derive_security_context(i18n, s),
key_lever: derive_security_lever(i18n, s),
good_threshold: 75,
warn_threshold: 50,
});
}
if let Some(m) = normalized.raw_mobile {
let score = normalized_module_score(&normalized.normalized, "Mobile").unwrap_or(m.score);
dashboard.push(ModuleScore {
name: "Mobile".into(),
score,
measurement_type: "measured".into(),
interpretation: module_interpretation(&normalized.normalized, "mobile", locale),
card_context: derive_mobile_card_context(i18n, m),
score_context: derive_mobile_context(i18n, m),
key_lever: derive_mobile_lever(i18n, m),
good_threshold: 75,
warn_threshold: 50,
});
}
if let Some(u) = normalized.raw_ux {
let ux_score = normalized_module_score(&normalized.normalized, "UX").unwrap_or(u.score);
let ux_context = format!(
"CTA Clarity {}/100, Visual Hierarchy {}/100, Content Clarity {}/100, Trust Signals {}/100, Cognitive Load {}/100",
u.cta_clarity.score, u.visual_hierarchy.score, u.content_clarity.score, u.trust_signals.score, u.cognitive_load.score
);
let ux_lever: String = if u.cta_clarity.score < 60 {
i18n.t("ux-lever-cta")
} else if u.trust_signals.score < 60 {
i18n.t("ux-lever-trust")
} else if u.visual_hierarchy.score < 60 {
i18n.t("ux-lever-hierarchy")
} else {
i18n.t("ux-lever-default")
};
dashboard.push(ModuleScore {
name: "UX".into(),
score: ux_score,
measurement_type: "heuristic".into(),
interpretation: module_interpretation(&normalized.normalized, "ux", locale),
card_context: ux_context.clone(),
score_context: ux_context,
key_lever: ux_lever,
good_threshold: 80,
warn_threshold: 55,
});
}
if let Some(j) = normalized.raw_journey {
let journey_score =
normalized_module_score(&normalized.normalized, "Journey").unwrap_or(j.score);
let journey_context = format!(
"{}: {} · Entry {}/100, Orientation {}/100, Navigation {}/100, Interaction {}/100, Conversion {}/100",
i18n.t("journey-intent-label"),
j.page_intent.label(locale == "en"),
j.entry_clarity.score,
j.orientation.score,
j.navigation.score,
j.interaction.score,
j.conversion.score
);
let journey_lever = j
.friction_points
.first()
.map(|fp| fp.recommendation.clone())
.unwrap_or_else(|| i18n.t("journey-lever-default"));
dashboard.push(ModuleScore {
name: "Journey".into(),
score: journey_score,
measurement_type: "heuristic".into(),
interpretation: module_interpretation(&normalized.normalized, "journey", locale),
card_context: journey_context.clone(),
score_context: journey_context,
key_lever: journey_lever,
good_threshold: 80,
warn_threshold: 55,
});
}
let has_multiple = dashboard.len() > 1;
let overall_score = if has_multiple {
Some(normalized.normalized.overall_score)
} else {
None
};
let overall_interpretation =
overall_score.map(|_| build_overall_score_explanation(i18n, &normalized.normalized));
ModulesBlock {
dashboard,
overall_score,
overall_interpretation,
}
}
fn build_overall_score_explanation(i18n: &I18n, normalized: &NormalizedReport) -> String {
let locale = i18n.locale();
let en = locale == "en";
let indicator_names: Vec<String> = normalized
.module_scores
.iter()
.filter(|m| !m.contributes_to_overall || m.measurement_type == "heuristic")
.map(|m| localized_module_name(&m.name, i18n))
.collect();
let indicator_note = if indicator_names.is_empty() {
String::new()
} else if en {
format!(
" Indicator modules ({}) are shown separately and do not change the overall score.",
indicator_names.join(", ")
)
} else {
format!(
" Indikator-Module ({}) werden separat ausgewiesen und verändern den Gesamtscore nicht.",
indicator_names.join(", ")
)
};
if normalized.viewport_scores.is_some() {
if en {
format!(
"Overall score uses the dual-viewport result: 70% mobile and 30% desktop. \
Security contributes 10% when active.{indicator_note}"
)
} else {
format!(
"Der Gesamtscore nutzt das Dual-Viewport-Ergebnis: 70% Mobile und 30% Desktop. \
Sicherheit fließt mit 10% ein, wenn aktiv.{indicator_note}"
)
}
} else {
let contributing: Vec<String> = normalized
.module_scores
.iter()
.filter(|m| m.contributes_to_overall)
.map(|m| {
let name = localized_module_name(&m.name, i18n);
if en {
format!("{name} {}%", m.weight_pct)
} else {
format!("{name} {} %", m.weight_pct)
}
})
.collect();
let weights = if contributing.is_empty() {
if en {
"Accessibility 100%".to_string()
} else {
"Barrierefreiheit 100 %".to_string()
}
} else {
contributing.join(", ")
};
if en {
format!("The overall rating is the weighted result of the assessed areas: {weights}.{indicator_note}")
} else {
format!("Die Gesamtbewertung ergibt sich aus den gewichteten Einzelmodulen: {weights}.{indicator_note}")
}
}
}