cloudformation-validate-validation-engine 1.12.0

#[cfg(test)]
use data_source::AdditionalSchemaSource;
use data_source::embedded::{CFN_LINT_VERSION, RESOURCE_SCHEMA_VERSION};
use diagnostics::{
    BudgetExhaustionRecord, DetailLevel, Diagnostic, Entity, PerformanceMetrics, Phase, PhaseMetric,
    RegisteredDiagnostic, RelatedResource, ReportMetadata, ReportStatus, ResourceRef, Summary, ValidationReport,
    ViolationContext, apply_filters, diagnostic_from_parse_defect, phase_metric, resolve_section_span,
};
use rules::{
    FilterConfig, RuleInfo, RuleMetadataEntry, RuleOrigin, Severity, is_fatal_rule, is_valid_custom_rule_id,
    rule_number,
};
use schema_validator::{
    OverlayCatalog, SchemaValidationResult, SchemaValidator, SchemaValidatorConfig, build_overlay_catalog,
};
use serde::{Deserialize, Serialize};
use std::any::Any;
use std::collections::HashMap;
use std::error;
use std::fmt;
use std::panic::{AssertUnwindSafe, catch_unwind};
use std::sync::Arc;
use template_model::resolved_value::effective_path_from_scenario_source_path;
use template_model::{
    EntityType, JsonValue, ParseConfig, ParseError, ParseResult, PseudoParameterOverrides, SemanticModel, SourceSpan,
    UNKNOWN_SPAN, entity_identity, is_sam_transform_error_message, region_enums, span_to_option,
};
use web_time::Instant;

pub const DIAGNOSTIC_SOURCE_PATH_FIELD: &str = "source_path";

#[derive(Debug)]
pub enum ValidationError {
    Parse(ParseError),
    Engine(String),
}

impl fmt::Display for ValidationError {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        match self {
            ValidationError::Parse(e) => write!(f, "{}", e),
            ValidationError::Engine(msg) => write!(f, "{}", msg),
        }
    }
}

impl error::Error for ValidationError {
    fn source(&self) -> Option<&(dyn error::Error + 'static)> {
        match self {
            ValidationError::Parse(e) => Some(e),
            ValidationError::Engine(_) => None,
        }
    }
}

impl From<ParseError> for ValidationError {
    fn from(e: ParseError) -> Self {
        ValidationError::Parse(e)
    }
}

impl From<String> for ValidationError {
    fn from(s: String) -> Self {
        ValidationError::Engine(s)
    }
}

impl From<&str> for ValidationError {
    fn from(s: &str) -> Self {
        ValidationError::Engine(s.to_string())
    }
}

/// Selects which validation engine evaluates rules.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Default)]
#[cfg_attr(feature = "wasm-bindings", derive(tsify::Tsify))]
#[cfg_attr(feature = "uniffi-bindings", derive(uniffi::Enum))]
#[serde(rename_all = "SCREAMING_SNAKE_CASE")]
pub enum EngineType {
    Rego,
    Cel,
    /// Evaluates the built-in rules with one engine and layers caller-supplied
    /// external CEL, Rego, and Guard rules on top. With no external rules it
    /// produces the same diagnostics as the standalone engines, which is why it is
    /// the default selector.
    #[default]
    Composite,
}

impl EngineType {
    pub const fn as_str(&self) -> &'static str {
        match self {
            EngineType::Rego => "Rego",
            EngineType::Cel => "CEL",
            EngineType::Composite => "Composite",
        }
    }

    /// Parses an engine selector, accepting `rego`/`cel`/`composite`
    /// case-insensitively. Returns an error describing the valid options rather
    /// than panicking, so a bad selector becomes a handleable failure instead of
    /// a process abort.
    pub fn parse(raw: &str) -> Result<Self, String> {
        match raw.to_lowercase().as_str() {
            "rego" => Ok(EngineType::Rego),
            "cel" => Ok(EngineType::Cel),
            "composite" => Ok(EngineType::Composite),
            other => Err(format!("Unknown engine type '{other}'; expected 'rego', 'cel', or 'composite'")),
        }
    }
}

impl fmt::Display for EngineType {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        f.write_str(self.as_str())
    }
}

/// A pre-read rule file provided by the caller (custom Rego/CEL or Guard DSL).
///
/// `name` identifies the rule source in error messages and logging. For a
/// file-backed rule this is typically the filesystem path; otherwise it is
/// whatever label the caller provides.
///
/// `content` is the full source text of the rule file.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[cfg_attr(feature = "wasm-bindings", derive(tsify::Tsify))]
#[cfg_attr(feature = "wasm-bindings", tsify(from_wasm_abi))]
#[cfg_attr(feature = "uniffi-bindings", derive(uniffi::Record))]
pub struct ExternalRuleSource {
    pub name: String,
    pub content: String,
}

#[derive(Default, Clone, Serialize, Deserialize)]
#[cfg_attr(feature = "wasm-bindings", derive(tsify::Tsify))]
#[cfg_attr(feature = "wasm-bindings", tsify(from_wasm_abi))]
#[cfg_attr(feature = "uniffi-bindings", derive(uniffi::Record))]
#[serde(rename_all = "camelCase")]
pub struct EngineConfig {
    /// Engine-native custom rules (Rego or CEL depending on engine).
    #[serde(default)]
    #[cfg_attr(feature = "uniffi-bindings", uniffi(default))]
    pub custom_rules: Vec<ExternalRuleSource>,
    /// Guard DSL rules as raw source text, usable regardless of the selected engine.
    #[serde(default)]
    #[cfg_attr(feature = "uniffi-bindings", uniffi(default))]
    pub guard_rules: Vec<ExternalRuleSource>,
    /// Optional schema validator configuration. A standalone engine derives its
    /// schema-aware rule metadata from this config. Language APIs also use it to
    /// construct the schema validator bundled with the engine, so both components
    /// observe the same additional schemas.
    #[serde(default, skip_serializing_if = "Option::is_none")]
    #[cfg_attr(feature = "wasm-bindings", tsify(optional))]
    #[cfg_attr(feature = "uniffi-bindings", uniffi(default))]
    pub schema_validator_config: Option<SchemaValidatorConfig>,
}

impl EngineConfig {
    /// Starts from the default configuration.
    pub fn new() -> Self {
        Self::default()
    }

    /// Adds engine-native custom rules (Rego or CEL, depending on the engine).
    pub fn with_custom_rules(mut self, rules: impl IntoIterator<Item = ExternalRuleSource>) -> Self {
        self.custom_rules.extend(rules);
        self
    }

    /// Adds Guard DSL rules, usable regardless of the selected engine.
    pub fn with_guard_rules(mut self, rules: impl IntoIterator<Item = ExternalRuleSource>) -> Self {
        self.guard_rules.extend(rules);
        self
    }

    /// Sets the nested schema validator configuration. When the engine is built
    /// standalone via `new(EngineConfig)`, it derives overlay-aware metadata from
    /// the configured additional schemas.
    pub fn with_schema_validator_config(mut self, config: SchemaValidatorConfig) -> Self {
        self.schema_validator_config = Some(config);
        self
    }

    /// Builds an [`OverlayCatalog`] from the nested schema validator config's
    /// additional schemas. Returns an empty catalog when no schema config is set
    /// or the config carries no overlays.
    ///
    /// This is an internal helper for standalone engine construction.
    #[doc(hidden)]
    pub fn build_overlay_catalog(&self) -> Result<OverlayCatalog, ValidationError> {
        let additional_schemas = match &self.schema_validator_config {
            Some(cfg) if !cfg.additional_schemas.is_empty() => &cfg.additional_schemas,
            _ => return Ok(OverlayCatalog::default()),
        };
        let overlays: Vec<(String, serde_json::Value)> = additional_schemas
            .iter()
            .map(|s| s.resolve().map_err(|e| ValidationError::Engine(e.0)))
            .collect::<Result<Vec<_>, _>>()?;
        build_overlay_catalog(overlays)
            .map_err(|e| ValidationError::Engine(format!("Failed to apply an additional schema: {e}")))
    }
}

/// Configuration for a composite engine that evaluates the built-in rules with
/// one engine and caller-supplied external rules with another.
///
/// The built-in rules are always evaluated, so this config only carries the
/// external rules layered on top plus the shared schema configuration. Custom
/// rules can be supplied in all three formats: Rego rules are evaluated by the
/// external engine, while CEL custom rules and Guard rules are evaluated by the
/// engine that owns the built-ins. It has no field for engine-native built-in
/// custom rules because the composite fixes which engine owns the built-ins.
#[derive(Default, Clone, Serialize, Deserialize)]
#[cfg_attr(feature = "wasm-bindings", derive(tsify::Tsify))]
#[cfg_attr(feature = "wasm-bindings", tsify(from_wasm_abi))]
#[cfg_attr(feature = "uniffi-bindings", derive(uniffi::Record))]
#[serde(rename_all = "camelCase")]
pub struct CompositeEngineConfig {
    /// Custom Rego rules layered on top of the built-in rules.
    #[serde(default)]
    #[cfg_attr(feature = "uniffi-bindings", uniffi(default))]
    pub rego_rules: Vec<ExternalRuleSource>,
    /// Custom CEL rules layered on top of the built-in rules. They are evaluated
    /// by the same engine that owns the built-ins, since CEL custom rules are a
    /// CEL-engine feature.
    #[serde(default)]
    #[cfg_attr(feature = "uniffi-bindings", uniffi(default))]
    pub cel_rules: Vec<ExternalRuleSource>,
    /// Guard DSL rules as raw source text, layered on top of the built-in rules.
    #[serde(default)]
    #[cfg_attr(feature = "uniffi-bindings", uniffi(default))]
    pub guard_rules: Vec<ExternalRuleSource>,
    /// Optional schema validator configuration. A standalone engine derives its
    /// schema-aware rule metadata from this config. Language APIs also use it to
    /// construct the schema validator bundled with the engine, so both components
    /// observe the same additional schemas.
    #[serde(default, skip_serializing_if = "Option::is_none")]
    #[cfg_attr(feature = "wasm-bindings", tsify(optional))]
    #[cfg_attr(feature = "uniffi-bindings", uniffi(default))]
    pub schema_validator_config: Option<SchemaValidatorConfig>,
}

impl CompositeEngineConfig {
    /// Starts from the default configuration.
    pub fn new() -> Self {
        Self::default()
    }

    /// Adds custom Rego rules layered on top of the built-in rules.
    pub fn with_rego_rules(mut self, rules: impl IntoIterator<Item = ExternalRuleSource>) -> Self {
        self.rego_rules.extend(rules);
        self
    }

    /// Adds custom CEL rules layered on top of the built-in rules. They are
    /// evaluated by the engine that owns the built-ins.
    pub fn with_cel_rules(mut self, rules: impl IntoIterator<Item = ExternalRuleSource>) -> Self {
        self.cel_rules.extend(rules);
        self
    }

    /// Adds Guard DSL rules layered on top of the built-in rules.
    pub fn with_guard_rules(mut self, rules: impl IntoIterator<Item = ExternalRuleSource>) -> Self {
        self.guard_rules.extend(rules);
        self
    }

    /// Sets the nested schema validator configuration so both the built-in and
    /// external evaluation observe the same additional schemas.
    pub fn with_schema_validator_config(mut self, config: SchemaValidatorConfig) -> Self {
        self.schema_validator_config = Some(config);
        self
    }
}

#[derive(Clone, Default)]
pub struct ValidateConfig {
    pub filters: FilterConfig,
    pub detail_level: DetailLevel,
    pub severity_level: Severity,
    pub parameter_overrides: HashMap<String, String>,
    pub pseudo_parameter_overrides: PseudoParameterOverrides,
    /// When true, Warn-severity diagnostics are upgraded to Error.
    pub strict: bool,
    /// When true, all built-in rules
    /// Only user-provided custom rules and guard rules are evaluated.
    pub disable_builtin_rules: bool,
}

pub trait ValidationEngine {
    fn engine_name(&self) -> &str;

    fn evaluate_rules(
        &self,
        model: &Arc<SemanticModel>,
        config: &ValidateConfig,
    ) -> Result<Vec<Diagnostic>, ValidationError>;

    fn list_rules(&self) -> Vec<RuleInfo>;

    /// Built-in rule metadata from the rules registry only.
    fn rule_metadata(&self) -> &HashMap<String, RuleMetadataEntry>;

    /// Metadata for rules not in the registry: custom user rules and Guard rules.
    fn external_rule_metadata(&self) -> HashMap<String, RuleMetadataEntry>;

    fn init_metric(&self) -> &PhaseMetric;
}

pub(crate) fn validate(
    engine: &dyn ValidationEngine,
    schema_validator: &SchemaValidator,
    result: ParseResult,
    config: ValidateConfig,
    file_path: String,
) -> Result<ValidationReport, ValidationError> {
    let model = Arc::new(result.model);
    let model_build = PhaseMetric { duration_ms: result.model_build_ms };
    log::info!(
        "Validating: {} resources, {} types (engine={})",
        model.resources.len(),
        model.resources_by_type.len(),
        engine.engine_name()
    );

    let schema_result = if config.disable_builtin_rules {
        SchemaValidationResult { diagnostics: Vec::new(), metric: phase_metric(Instant::now()) }
    } else {
        schema_validator.validate(&model, config.pseudo_parameter_overrides.region.as_deref())
    };
    let mut all_diagnostics = schema_result.diagnostics;

    if !config.disable_builtin_rules {
        let invalid = config.pseudo_parameter_overrides.invalid_overrides();
        if !invalid.is_empty() {
            let message = format!("Invalid pseudo-parameter override(s): {}", invalid.join("; "));
            all_diagnostics.push(RegisteredDiagnostic::new("W9012", message).build());
        }
    }

    let t_eval = Instant::now();
    let engine_diags = engine.evaluate_rules(&model, &config)?;
    all_diagnostics.extend(engine_diags);
    let eval_metric = phase_metric(t_eval);

    let t_post = Instant::now();
    if !config.disable_builtin_rules {
        all_diagnostics.extend(crate::step_functions::validate_all_state_machines(&model));
        all_diagnostics.extend(model.diagnostics.iter().map(diagnostic_from_parse_defect));

        // The satisfiability budget is consumed almost entirely by the rule
        // evaluation that just ran, so this is the earliest point the exhausted
        // queries are observable. Budget exhaustions are recorded into the
        // model-level tracker by the condition model as they occur.

        if config.pseudo_parameter_overrides.region.is_none() && region_enums::template_has_region_scoped_value(&model)
        {
            all_diagnostics.push(
                RegisteredDiagnostic::new(
                    "I9003",
                    "No region supplied; region-scoped instance/node types were validated against all regions. \
                     A value reported valid here may still be unavailable in your target region - pass a region to \
                     validate against it specifically.",
                )
                .build(),
            );
        }
    }

    gate_sam_transform_errors(&mut all_diagnostics);
    gate_cdk_suppressed_rules(&mut all_diagnostics, &model);

    backfill_locations(&mut all_diagnostics, &model);
    backfill_entities(&mut all_diagnostics, &model);

    let registry_metadata = engine.rule_metadata();
    let external_metadata = config.detail_level.needs_enrichment().then(|| engine.external_rule_metadata());
    if let Some(external_metadata) = external_metadata.as_ref() {
        enrich_diagnostics(&mut all_diagnostics, &model, registry_metadata, external_metadata, &config.detail_level);
    }

    if config.detail_level.needs_context() {
        schema_validator.enrich_context(&mut all_diagnostics, &model);
        for d in all_diagnostics.iter_mut() {
            if d.context.is_none() && d.phase != Some(Phase::Schema) {
                d.context = build_context(
                    &d.rule_id,
                    d.resource_logical_id(),
                    d.property_path.as_deref().unwrap_or(""),
                    &model,
                );
            }
        }
    }

    // Filtering may suppress the visible warning, so report metadata is captured
    // independently before finalization.
    let exhausted_kinds = model.exhausted_budget_kinds();
    let budget_exhaustion_records: Vec<BudgetExhaustionRecord> = exhausted_kinds
        .iter()
        .map(|kind| BudgetExhaustionRecord {
            kind: kind.as_str().to_string(),
            description: kind.description().to_string(),
            limit: kind.limit(),
            analysis_incomplete: kind.analysis_incomplete(),
        })
        .collect();
    let analysis_incomplete = model.budget_analysis_incomplete();

    if !config.disable_builtin_rules && !exhausted_kinds.is_empty() {
        let message = if analysis_incomplete {
            "Deterministic validation budgets were exhausted; analysis may be incomplete and some findings may be omitted"
        } else {
            "Deterministic validation budgets were exhausted; analysis completed but some detail was omitted"
        };
        let mut budget_warning = RegisteredDiagnostic::new("W9052", message).build();
        if config.detail_level.needs_context() {
            let budget_context = budget_exhaustion_records
                .iter()
                .map(|record| {
                    serde_json::json!({
                        "kind": record.kind.as_str(),
                        "description": record.description.as_str(),
                        "limit": record.limit,
                        "analysisIncomplete": record.analysis_incomplete,
                    })
                })
                .collect();
            let mut context_extra = HashMap::new();
            context_extra.insert("budgetExhaustions".to_string(), serde_json::Value::Array(budget_context).into());
            budget_warning.context = Some(ViolationContext {
                actual_value: None,
                expected_constraint: None,
                property: None,
                lifecycle: None,
                resolution_source: None,
                extra: Some(context_extra),
            });
        }

        let warning_index = all_diagnostics.len();
        all_diagnostics.push(budget_warning);
        let warning_slice = &mut all_diagnostics[warning_index..];
        backfill_locations(warning_slice, &model);
        backfill_entities(warning_slice, &model);
        if let Some(external_metadata) = external_metadata.as_ref() {
            enrich_diagnostics(warning_slice, &model, registry_metadata, external_metadata, &config.detail_level);
        }
    }

    let (total_before, suppressed) = finalize_diagnostics(&mut all_diagnostics, &config);

    if suppressed > 0 {
        log::info!("Filtered {} -> {} diagnostics ({} suppressed)", total_before, all_diagnostics.len(), suppressed);
    }

    let excluded_cats = config.filters.excluded_categories();
    let active_rule_count = registry_metadata
        .iter()
        .filter(|(_, entry)| !entry.category.as_deref().is_some_and(|c| excluded_cats.contains(c)))
        .count() as u32;

    let mut report = build_report(
        all_diagnostics,
        &model,
        suppressed,
        Some(active_rule_count),
        config.strict,
        config.severity_level,
        file_path,
    );
    if analysis_incomplete {
        report.status = ReportStatus::AnalysisIncomplete;
    }
    report.metadata.budget_exhaustions = (!budget_exhaustion_records.is_empty()).then_some(budget_exhaustion_records);
    let finalize_metric = phase_metric(t_post);

    report.performance.schema_init = schema_validator.init_metric().clone();
    report.performance.engine_init = engine.init_metric().clone();
    report.performance.model_build = model_build;
    report.performance.schema_validate = schema_result.metric;
    report.performance.rule_evaluation = eval_metric;
    report.performance.diagnostic_finalize = finalize_metric;

    Ok(report)
}

struct DataSourceVersions {
    cfn_lint_version: &'static str,
    resource_schema_version: &'static str,
}

static DATA_SOURCE_VERSIONS: DataSourceVersions =
    DataSourceVersions { cfn_lint_version: CFN_LINT_VERSION, resource_schema_version: RESOURCE_SCHEMA_VERSION };

#[cfg(any(test, feature = "test"))]
pub fn validate_bytes(
    engine: &dyn ValidationEngine,
    schema_validator: &SchemaValidator,
    bytes: &[u8],
    config: ValidateConfig,
) -> Result<ValidationReport, ValidationError> {
    validate_bytes_with_path(engine, schema_validator, bytes, config, String::new())
}

pub fn validate_bytes_with_path(
    engine: &dyn ValidationEngine,
    schema_validator: &SchemaValidator,
    bytes: &[u8],
    config: ValidateConfig,
    file_path: String,
) -> Result<ValidationReport, ValidationError> {
    let total_start = Instant::now();
    let result = match SemanticModel::parse(
        bytes,
        ParseConfig {
            parameters: config.parameter_overrides.clone(),
            pseudo_parameters: config.pseudo_parameter_overrides.clone(),
        },
    ) {
        Ok(r) => r,
        Err(e) => {
            let span = match (e.line, e.column) {
                (Some(l), Some(c)) => SourceSpan { start_line: l, start_column: c, end_line: l, end_column: c },
                _ => UNKNOWN_SPAN,
            };
            let diag = RegisteredDiagnostic::new("F1101", e.message).location(span).phase(Phase::Parse).build();
            let diags = vec![diag];
            let report = ValidationReport {
                file_path,
                status: ReportStatus::Error,
                version: env!("CARGO_PKG_VERSION").to_string(),
                diagnostics: diags,
                metadata: ReportMetadata {
                    rules_evaluated: 0,
                    cfn_lint_version: DATA_SOURCE_VERSIONS.cfn_lint_version.to_owned(),
                    resource_schema_version: DATA_SOURCE_VERSIONS.resource_schema_version.to_owned(),
                    resources_scanned: 0,
                    counts: Summary { fatal: 1, errors: 0, warnings: 0, informational: 0, debug: 0 },
                    suppressed: 0,
                    strict: config.strict,
                    severity_level: config.severity_level,
                    budget_exhaustions: None,
                },
                performance: PerformanceMetrics {
                    schema_init: PhaseMetric { duration_ms: 0.0 },
                    engine_init: PhaseMetric { duration_ms: 0.0 },
                    model_build: PhaseMetric { duration_ms: 0.0 },
                    schema_validate: PhaseMetric { duration_ms: 0.0 },
                    rule_evaluation: PhaseMetric { duration_ms: 0.0 },
                    diagnostic_finalize: PhaseMetric { duration_ms: 0.0 },
                    validate_total: phase_metric(total_start),
                },
            };
            return Ok(report);
        }
    };
    let mut report = validate(engine, schema_validator, result, config, file_path)?;
    report.performance.validate_total = phase_metric(total_start);
    Ok(report)
}

/// Runs `operation`, converting any unwinding panic into an error produced by
/// `on_panic` instead of letting it escape into the caller. Every embedding
/// boundary routes through this guard, so an internal invariant violation on
/// adversarial input becomes a structured, catchable error rather than crashing
/// or trapping the host.
///
/// `on_panic` receives the panic's message and maps it to the caller's own error
/// type (for example a [`ValidationError`] or a binding-specific error type),
/// keeping the guard reusable across every binding without coupling it to one
/// error type.
///
/// The guard only works under the `unwind` panic strategy - [`catch_unwind`]
/// intercepts unwinding panics, not aborts. The workspace pins `panic = "unwind"`
/// in both the dev and release profiles (`src/Cargo.toml`), so on native targets
/// a panic is caught here before it can unwind across an FFI boundary - which
/// would be undefined behavior.
///
/// On `wasm32-unknown-unknown` the standard library is compiled with
/// `panic = "abort"`: a panic traps the instance and `catch_unwind` cannot
/// intercept it, so the only recovery is to recreate the instance. There this
/// guard is a no-op that becomes effective only if the wasm build opts into the
/// unwind strategy. Wrapping the wasm path is therefore harmless and
/// forward-compatible rather than load-bearing today.
pub fn catch_panics<T, E>(
    operation: impl FnOnce() -> Result<T, E>,
    on_panic: impl FnOnce(String) -> E,
) -> Result<T, E> {
    match catch_unwind(AssertUnwindSafe(operation)) {
        Ok(result) => result,
        Err(payload) => Err(on_panic(panic_message(payload.as_ref()))),
    }
}

/// Convenience wrapper over [`catch_panics`] for the core validation flow: a
/// panic becomes a structured [`ValidationError::Engine`] carrying the message.
pub fn validate_catching_panics<F>(validate: F) -> Result<ValidationReport, ValidationError>
where
    F: FnOnce() -> Result<ValidationReport, ValidationError>,
{
    catch_panics(validate, |message| ValidationError::Engine(format!("Internal validation error: {message}")))
}

pub fn semantic_model_to_input_json(model: &SemanticModel) -> Result<serde_json::Value, ValidationError> {
    serde_json::to_value(model.to_diagnostic_json()).map_err(|e| {
        ValidationError::Engine(format!("Failed to serialize the semantic model for rule evaluation: {e}"))
    })
}

fn panic_message(payload: &(dyn Any + Send)) -> String {
    if let Some(message) = payload.downcast_ref::<&str>() {
        (*message).to_string()
    } else if let Some(message) = payload.downcast_ref::<String>() {
        message.clone()
    } else {
        "Panic payload was not a string".to_string()
    }
}

fn parse_span_coordinate(
    diagnostic: &serde_json::Value,
    field_name: &str,
    rule_id: &str,
) -> Result<Option<u32>, String> {
    let Some(value) = diagnostic.get(field_name) else {
        return Ok(None);
    };
    if value.is_null() {
        return Ok(None);
    }
    let coordinate = value
        .as_u64()
        .ok_or_else(|| format!("Diagnostic '{}' field '{}' must be a non-negative integer", rule_id, field_name))?;
    u32::try_from(coordinate)
        .map(Some)
        .map_err(|_| format!("Diagnostic '{}' field '{}' exceeds the supported coordinate range", rule_id, field_name))
}

fn resolve_model_diagnostic_span(
    rule_id: &str,
    model: &SemanticModel,
    resource_id: Option<&str>,
    property_path: Option<&str>,
    source_path: Option<&str>,
) -> Result<SourceSpan, String> {
    if let Some(source_path) = source_path {
        let resource_id = resource_id.ok_or_else(|| {
            format!("Diagnostic '{}' provides '{}' without a resource_id", rule_id, DIAGNOSTIC_SOURCE_PATH_FIELD)
        })?;
        let property_path = property_path.ok_or_else(|| {
            format!(
                "Diagnostic '{}' on resource '{}' provides '{}' without a resource_path",
                rule_id, resource_id, DIAGNOSTIC_SOURCE_PATH_FIELD
            )
        })?;
        let effective_source_path = effective_path_from_scenario_source_path(source_path)
            .ok_or_else(|| format!("Diagnostic '{}' has malformed scenario source path '{}'", rule_id, source_path))?;
        if effective_source_path != property_path {
            return Err(format!(
                "Diagnostic '{}' source path '{}' resolves to '{}' instead of resource path '{}'",
                rule_id, source_path, effective_source_path, property_path
            ));
        }
    }

    let location_path = source_path.or(property_path).unwrap_or("");
    Ok(if let Some(resource_id) = resource_id {
        model.resource_span(resource_id, location_path)
    } else {
        model.diagnostic_span(None, location_path).unwrap_or_else(|| resolve_section_span(rule_id, model))
    })
}

fn validate_explicit_diagnostic_span(
    diagnostic: &serde_json::Value,
    rule_id: &str,
    model_span: SourceSpan,
) -> Result<(), String> {
    let start_line = parse_span_coordinate(diagnostic, "start_line", rule_id)?;
    let start_column = parse_span_coordinate(diagnostic, "start_column", rule_id)?;
    let end_line = parse_span_coordinate(diagnostic, "end_line", rule_id)?;
    let end_column = parse_span_coordinate(diagnostic, "end_column", rule_id)?;

    if start_line.is_none() && start_column.is_none() && end_line.is_none() && end_column.is_none() {
        return Ok(());
    }
    let (Some(start_line), Some(start_column)) = (start_line, start_column) else {
        return Err(format!("Diagnostic '{}' explicit span must provide both start_line and start_column", rule_id));
    };
    let explicit_end = match (end_line, end_column) {
        (None, None) => None,
        (Some(line), Some(column)) => Some((line, column)),
        _ => {
            return Err(format!("Diagnostic '{}' explicit span must provide both end_line and end_column", rule_id));
        }
    };
    if model_span == UNKNOWN_SPAN {
        return Err(format!(
            "Diagnostic '{}' explicit span cannot be verified because its resource path has no model-derived location",
            rule_id
        ));
    }

    let start_matches = start_line == model_span.start_line && start_column == model_span.start_column;
    let end_matches =
        explicit_end.is_none_or(|(line, column)| line == model_span.end_line && column == model_span.end_column);
    if !start_matches || !end_matches {
        let (explicit_end_line, explicit_end_column) = explicit_end.unwrap_or((start_line, start_column));
        return Err(format!(
            "Diagnostic '{}' explicit span {}:{}-{}:{} does not match model-derived span {}:{}-{}:{}",
            rule_id,
            start_line,
            start_column,
            explicit_end_line,
            explicit_end_column,
            model_span.start_line,
            model_span.start_column,
            model_span.end_line,
            model_span.end_column
        ));
    }
    Ok(())
}

pub(crate) fn parse_diagnostic(
    val: &serde_json::Value,
    model: &SemanticModel,
    source_override: Option<&RuleOrigin>,
) -> Result<Diagnostic, String> {
    let rule_id =
        val.get("rule_id").and_then(|v| v.as_str()).ok_or("Diagnostic missing required field 'rule_id'")?.to_string();
    if rule_id.trim().is_empty() {
        return Err("Diagnostic has an empty 'rule_id'".to_string());
    }
    let message = val
        .get("message")
        .and_then(|v| v.as_str())
        .ok_or_else(|| format!("Diagnostic '{}' missing required field 'message'", rule_id))?
        .to_string();
    if message.trim().is_empty() {
        return Err(format!("Diagnostic '{}' has an empty 'message'", rule_id));
    }
    let resource_id = val.get("resource_id").and_then(|v| v.as_str()).filter(|s| !s.is_empty()).map(|s| s.to_string());
    let entity = resource_id
        .as_ref()
        .and_then(|rid| Entity::resource(rid, model.resources.get(rid.as_str()).map(|r| r.resource_type.clone())));
    let property_path =
        val.get("resource_path").and_then(|v| v.as_str()).filter(|s| !s.is_empty()).map(|s| s.to_string());

    let source_path = match val.get(DIAGNOSTIC_SOURCE_PATH_FIELD) {
        None | Some(serde_json::Value::Null) => None,
        Some(serde_json::Value::String(path)) if !path.is_empty() => Some(path.as_str()),
        Some(_) => {
            return Err(format!(
                "Diagnostic '{}' field '{}' must be a non-empty string",
                rule_id, DIAGNOSTIC_SOURCE_PATH_FIELD
            ));
        }
    };
    let span =
        resolve_model_diagnostic_span(&rule_id, model, resource_id.as_deref(), property_path.as_deref(), source_path)?;
    validate_explicit_diagnostic_span(val, &rule_id, span)?;

    let is_custom_or_guard = source_override.is_some_and(|o| matches!(o, RuleOrigin::Custom | RuleOrigin::Guard));

    let suggested_fix = val.get("suggested_fix").and_then(|v| v.as_str()).map(|s| s.to_string());
    let documentation_url = val.get("documentation_url").and_then(|v| v.as_str()).map(|s| s.to_string());
    let related_resources = val.get("related_locations").and_then(|v| v.as_array()).map(|arr| {
        arr.iter()
            .filter_map(|r| {
                let rel_rid = r.get("resource_id").and_then(|v| v.as_str()).map(|s| s.to_string());
                let rel_resource = rel_rid.as_ref().map(|rid| ResourceRef {
                    id: Some(rid.clone()),
                    resource_type: model.resources.get(rid.as_str()).map(|res| res.resource_type.clone()),
                });
                Some(RelatedResource {
                    resource: rel_resource,
                    location: Some(SourceSpan {
                        start_line: r.get("start_line")?.as_u64()? as u32,
                        start_column: r.get("start_column")?.as_u64()? as u32,
                        end_line: r.get("end_line")?.as_u64()? as u32,
                        end_column: r.get("end_column")?.as_u64()? as u32,
                    }),
                    message: r.get("message")?.as_str()?.to_string(),
                })
            })
            .collect()
    });
    let condition_scenario = val
        .get("condition_scenario")
        .and_then(|v| v.as_object())
        .map(|m| m.iter().filter_map(|(k, v)| v.as_bool().map(|b| (k.clone(), b))).collect());

    if is_custom_or_guard {
        if !is_valid_custom_rule_id(&rule_id) {
            return Err(format!(
                "Custom/Guard diagnostic '{}' has an invalid 'rule_id': only letters, digits, and the separators \
                 '_', '.', '-' are allowed",
                rule_id
            ));
        }
        let severity_str = val
            .get("severity")
            .and_then(|v| v.as_str())
            .ok_or_else(|| format!("Custom/Guard diagnostic '{}' missing required field 'severity'", rule_id))?;
        // The declared severity is authoritative. A custom/Guard rule ID is arbitrary,
        // so the built-in `F`-prefix→Fatal heuristic must NOT apply here
        let severity = severity_str.parse::<Severity>()?;
        let category = val.get("category").and_then(|v| v.as_str()).map(|c| c.to_string());
        let source = *source_override.expect("custom/guard branch is only reached with a source override");
        let rule_description = (source == RuleOrigin::Custom).then(|| message.clone());
        return Ok(Diagnostic {
            rule_id,
            severity,
            message,
            entity,
            property_path,
            suggested_fix,
            documentation_url,
            category,
            location: span_to_option(span),
            related_resources,
            condition_scenario,
            rule_description,
            phase: None,
            context: None,
            source,
        });
    }

    // The registry is the single source of truth for built-in severity,
    // category, origin, and description. Any `severity` field present in the
    // engine output is intentionally ignored, so it is not required here.
    let mut diagnostic = RegisteredDiagnostic::new(rule_id, message)
        .location(span)
        .suggested_fix(suggested_fix)
        .condition_scenario(condition_scenario)
        .related_resources(related_resources)
        .build();
    diagnostic.entity = entity;
    diagnostic.property_path = property_path;
    diagnostic.documentation_url = documentation_url;
    Ok(diagnostic)
}

/// Parses a JSON array of rule outputs, appending a [`Diagnostic`] for each
/// element. The array iteration and per-element parsing live in
/// [`extract_diagnostics_from_value`]; this entry point only turns the string
/// into a value first.
pub fn extract_diagnostics(
    json_str: &str,
    model: &SemanticModel,
    out: &mut Vec<Diagnostic>,
    source_override: Option<&RuleOrigin>,
) -> Result<(), String> {
    let json_val: serde_json::Value =
        serde_json::from_str(json_str).map_err(|e| format!("Failed to parse diagnostic JSON: {}", e))?;
    extract_diagnostics_from_value(&json_val, model, out, source_override)
}

/// Appends a [`Diagnostic`] for each element of an already-parsed JSON array of
/// rule outputs. A caller that already holds the structured value skips the JSON
/// string round-trip [`extract_diagnostics`] performs.
#[doc(hidden)]
pub fn extract_diagnostics_from_value(
    json_val: &serde_json::Value,
    model: &SemanticModel,
    out: &mut Vec<Diagnostic>,
    source_override: Option<&RuleOrigin>,
) -> Result<(), String> {
    let items = json_val.as_array().ok_or("Diagnostic output must be a JSON array")?;
    for item in items {
        out.push(parse_diagnostic(item, model, source_override)?);
    }
    Ok(())
}

pub(crate) fn build_report(
    diagnostics: Vec<Diagnostic>,
    model: &SemanticModel,
    suppressed: u32,
    rules_evaluated: Option<u32>,
    strict: bool,
    severity_level: Severity,
    file_path: String,
) -> ValidationReport {
    build_report_with_versions(
        diagnostics,
        model,
        suppressed,
        rules_evaluated,
        strict,
        severity_level,
        file_path,
        DATA_SOURCE_VERSIONS.cfn_lint_version.to_owned(),
        DATA_SOURCE_VERSIONS.resource_schema_version.to_owned(),
    )
}

fn build_report_with_versions(
    diagnostics: Vec<Diagnostic>,
    model: &SemanticModel,
    suppressed: u32,
    rules_evaluated: Option<u32>,
    strict: bool,
    severity_level: Severity,
    file_path: String,
    cfn_lint_version: String,
    resource_schema_version: String,
) -> ValidationReport {
    let fatal = diagnostics.iter().filter(|d| d.severity == Severity::Fatal).count() as u32;
    let errors = diagnostics.iter().filter(|d| d.severity == Severity::Error).count() as u32;
    let warnings = diagnostics.iter().filter(|d| d.severity == Severity::Warn).count() as u32;
    let debug = diagnostics.iter().filter(|d| d.severity == Severity::Debug).count() as u32;
    let informational = diagnostics.len() as u32 - fatal - errors - warnings - debug;
    ValidationReport {
        file_path,
        status: ReportStatus::Ok,
        version: env!("CARGO_PKG_VERSION").to_string(),
        diagnostics,
        metadata: ReportMetadata {
            rules_evaluated: rules_evaluated.unwrap_or(0),
            cfn_lint_version,
            resource_schema_version,
            resources_scanned: model.resources.len() as u32,
            counts: Summary { fatal, errors, warnings, informational, debug },
            suppressed,
            strict,
            severity_level,
            budget_exhaustions: None,
        },
        performance: PerformanceMetrics {
            schema_init: PhaseMetric { duration_ms: 0.0 },
            engine_init: PhaseMetric { duration_ms: 0.0 },
            model_build: PhaseMetric { duration_ms: 0.0 },
            schema_validate: PhaseMetric { duration_ms: 0.0 },
            rule_evaluation: PhaseMetric { duration_ms: 0.0 },
            diagnostic_finalize: PhaseMetric { duration_ms: 0.0 },
            validate_total: PhaseMetric { duration_ms: 0.0 },
        },
    }
}

pub(crate) fn finalize_diagnostics(diagnostics: &mut Vec<Diagnostic>, config: &ValidateConfig) -> (u32, u32) {
    let total_before = diagnostics.len() as u32;

    if config.disable_builtin_rules {
        diagnostics.retain(|d| matches!(d.source, RuleOrigin::Custom | RuleOrigin::Guard));
    }

    if config.strict {
        for d in diagnostics.iter_mut() {
            if d.severity == Severity::Warn {
                d.severity = Severity::Error;
            }
        }
    }

    apply_filters(diagnostics, &config.filters);

    // Filter by minimum severity. Debug is the lowest severity so it acts as "no filter".
    diagnostics.retain(|d| d.severity >= config.severity_level);

    // Order by severity first (Fatal, Error, Warn, Info, Debug), then by rule number,
    // then by location and the remaining fields. The severity and rule-number keys are
    // both functionally determined by `rule_id` (the prefix letter fixes the severity,
    // the digits fix the number), so they add grouping without ever splitting two
    // diagnostics that are otherwise identical.
    //
    // The sort key MUST stay a superset of the dedup key below. If two diagnostics share
    // the dedup key but are separated by a sibling that compares equal on the sort key,
    // stable sort leaves them non-adjacent and dedup_by silently misses them.
    // Seen in the wild: the same rule fired twice for the same parameter (two distinct usages)
    // with a sibling diagnostic for a different parameter at the same line/col in between -
    // native HashMap iteration order put them in [A, B, A] layout, dedup skipped.
    let line = |d: &Diagnostic| d.location.as_ref().map(|l| l.start_line).unwrap_or(0);
    let column = |d: &Diagnostic| d.location.as_ref().map(|l| l.start_column).unwrap_or(0);
    // The resource id is part of both keys: two findings on *different* resources
    // are distinct even when they share a span, message, and path. This happens
    // with `Fn::ForEach`-expanded resources, which are separate resources built
    // from one template body and therefore carry the same source span.
    //
    // An item fn (not a closure) is required to borrow the id: a closure cannot
    // express that its returned `&str` is tied to the borrowed argument.
    fn resource_id(d: &Diagnostic) -> &str {
        d.entity.as_ref().map(|e| e.logical_id.as_str()).unwrap_or_default()
    }
    diagnostics.sort_by(|a, b| {
        b.severity
            .cmp(&a.severity)
            .then_with(|| rule_number(&a.rule_id).cmp(&rule_number(&b.rule_id)))
            .then_with(|| a.rule_id.cmp(&b.rule_id))
            .then_with(|| line(a).cmp(&line(b)))
            .then_with(|| column(a).cmp(&column(b)))
            .then_with(|| resource_id(a).cmp(resource_id(b)))
            .then_with(|| a.property_path.cmp(&b.property_path))
            .then_with(|| a.message.cmp(&b.message))
    });
    diagnostics.dedup_by(|a, b| {
        a.location.as_ref().map(|l| l.start_line).unwrap_or(0) == b.location.as_ref().map(|l| l.start_line).unwrap_or(0)
            && a.location.as_ref().map(|l| l.start_column).unwrap_or(0)
                == b.location.as_ref().map(|l| l.start_column).unwrap_or(0)
            && a.rule_id == b.rule_id
            && resource_id(a) == resource_id(b)
            && a.message == b.message
            && a.property_path == b.property_path
    });

    let suppressed = total_before.saturating_sub(diagnostics.len() as u32);
    (total_before, suppressed)
}

pub(crate) fn build_context(
    rule_id: &str,
    resource_id: Option<&str>,
    property_path: &str,
    model: &SemanticModel,
) -> Option<ViolationContext> {
    let rid = resource_id?;

    let resolve_val = |path: &str| -> Option<serde_json::Value> {
        let scenarios = model.resolve_scenarios_json(rid, path);
        scenarios.into_iter().next().map(|(v, _)| v)
    };

    // Resolves a value only when every condition scenario agrees on it. A property
    // driven by `Fn::If` resolves to a different value per branch, and each branch
    // yields its own diagnostic (with a branch-specific message); attaching the
    // first branch's value to all of them would contradict the other messages. When
    // the branches disagree this returns `None`, leaving the message as the sole,
    // correct carrier of the offending value.
    let unambiguous_val = |path: &str| -> Option<serde_json::Value> {
        let mut scenarios = model.resolve_scenarios_json(rid, path).into_iter().map(|(v, _)| v);
        let first = scenarios.next()?;
        if scenarios.all(|v| v == first) { Some(first) } else { None }
    };

    let mut actual_value: Option<JsonValue> = None;
    let mut property = None;
    let mut lifecycle = None;
    let mut extra: HashMap<String, JsonValue> = HashMap::new();

    match rule_id {
        "F3012" | "E3012" => {
            if !property_path.is_empty() {
                actual_value = resolve_val(property_path).map(Into::into);
            }
        }
        "F3030" | "W3030" | "E3030" | "F3031" | "E3031" | "F3034" | "E3034" | "F3037" | "W3045" | "E1103" | "E1150"
        | "E1151" | "E1152" | "E1153" | "E1154" | "E1155" | "E1156" => {
            actual_value = resolve_val(property_path).map(Into::into);
        }
        "F3033" | "W9006" => {
            if let Some(v) = resolve_val(property_path) {
                if let Some(s) = v.as_str() {
                    extra.insert("actual_length".into(), serde_json::json!(s.chars().count()).into());
                }
                actual_value = Some(v.into());
            }
        }
        "F3032" | "E3032" => {
            if let Some(v) = resolve_val(property_path)
                && let Some(arr) = v.as_array()
            {
                extra.insert("actual_count".into(), serde_json::json!(arr.len()).into());
            }
        }
        "F3002" | "E3002" | "F3020" => {
            let prop = property_path.rsplit('.').next().unwrap_or("");
            if !prop.is_empty() {
                property = Some(prop.to_string());
            }
        }
        "F3003" | "F3021" | "F3014" | "F3058" => {}
        "E3047" => {
            if let Some(v) = resolve_val("Properties.Cpu") {
                extra.insert("cpu".into(), v.into());
            }
            if let Some(v) = resolve_val("Properties.Memory") {
                extra.insert("memory".into(), v.into());
            }
        }
        "E3060" => {
            if let Some(v) = resolve_val("Properties.CidrBlock") {
                extra.insert("cidr".into(), v.into());
            }
        }
        "E9002" => {
            actual_value = resolve_val("Properties.SecurityGroupIngress").map(Into::into);
        }
        "F3006" => {
            if let Some(res) = model.resources.get(rid) {
                extra.insert("resource_type".into(), serde_json::json!(res.resource_type).into());
            }
        }
        "E3501" => {
            if let Some(v) = resolve_val("Properties.QueueName") {
                extra.insert("queue_name".into(), v.into());
            }
        }
        "E3505" => {
            if let Some(v) = resolve_val("Properties.VisibilityTimeout") {
                extra.insert("visibility_timeout".into(), v.into());
            }
        }
        "E3044" => {
            if let Some(v) = resolve_val("Properties.LaunchType") {
                extra.insert("launch_type".into(), v.into());
            }
            if let Some(v) = resolve_val("Properties.SchedulingStrategy") {
                extra.insert("scheduling_strategy".into(), v.into());
            }
        }
        "E3053" => {
            if !property_path.is_empty() {
                actual_value = resolve_val(property_path).map(Into::into);
            }
        }
        "W9009" => {
            lifecycle = Some("deprecated".into());
        }
        "I9001" => {
            lifecycle = Some("create-only".into());
        }
        "W9054" => {
            lifecycle = Some("write-only".into());
        }
        // Lambda runtime lifecycle: surface the offending runtime string and the
        // stage of its lifecycle, mirroring how resource-type deprecation (W9009)
        // and property lifecycle (I9001/W9054) carry a lifecycle marker. The runtime
        // is emitted once per condition branch, so only attach the value when every
        // branch agrees - otherwise the message alone names the branch's runtime.
        "E2533" => {
            actual_value = unambiguous_val(property_path).map(Into::into);
            lifecycle = Some("end-of-life".into());
        }
        "E2531" => {
            actual_value = unambiguous_val(property_path).map(Into::into);
            lifecycle = Some("create-blocked".into());
        }
        "W2531" => {
            actual_value = unambiguous_val(property_path).map(Into::into);
            lifecycle = Some("deprecated".into());
        }
        // RDS instance exposed to the public internet: surface the offending
        // PubliclyAccessible value against the expected safe setting.
        "W9011" => {
            actual_value = unambiguous_val(property_path).map(Into::into);
        }
        "W2503" | "W2502" => {
            if let Some(res) = model.resources.get(rid)
                && let Some(ref c) = res.condition
            {
                extra.insert("source_condition".into(), serde_json::json!(c).into());
            }
        }
        _ => {}
    }

    if actual_value.is_none() && property.is_none() && lifecycle.is_none() && extra.is_empty() {
        return None;
    }

    Some(ViolationContext {
        actual_value,
        expected_constraint: None,
        property,
        lifecycle,
        resolution_source: None,
        extra: if extra.is_empty() { None } else { Some(extra) },
    })
}

/// Drops every non-transform diagnostic when a SAM transform error is present.
///
/// A failed SAM transform stops CloudFormation before resource validation, so
/// schema and lint findings on the untransformed template are noise. Retaining
/// only the transform errors mirrors that short-circuit.
fn gate_sam_transform_errors(diagnostics: &mut Vec<Diagnostic>) {
    let has_transform_error = diagnostics.iter().any(|d| is_sam_transform_error_message(&d.message));
    if has_transform_error {
        diagnostics.retain(|d| is_sam_transform_error_message(&d.message));
    }
}

/// Rules suppressed on CDK-generated templates. CDK synthesizes templates from
/// higher-level code, so findings about how the template itself is written are
/// not actionable for the developer and would only add noise.
const CDK_SUPPRESSED_RULE_IDS: [&str; 2] = ["I1022", "W3010"];

/// Suppresses non-actionable findings on CDK-generated templates (see
/// [`CDK_SUPPRESSED_RULE_IDS`]).
fn gate_cdk_suppressed_rules(diagnostics: &mut Vec<Diagnostic>, model: &SemanticModel) {
    if !model.is_cdk {
        return;
    }
    diagnostics.retain(|d| !CDK_SUPPRESSED_RULE_IDS.contains(&d.rule_id.as_str()));
}

/// Attaches a source span to any diagnostic still missing one. Location is part of
/// the report at every detail level, so this runs regardless of the configured
/// detail level and independently of the engine.
///
/// Most diagnostics are located at construction (via `resource_span` /
/// `resolve_section_span`), but some emission paths cannot reach a span there:
/// parse-time findings built before byte spans are assigned, findings anchored on
/// an output/parameter path that `resource_span` cannot resolve (it only roots at
/// `Resources/`), and template-model findings that never pass through
/// `parse_diagnostic`'s section fallback. This is the single place that repairs
/// them. The resolution is best-effort and monotonic - it only ever fills a `None`
/// location, never overrides an existing one - so it cannot move a diagnostic that
/// already points at the right place.
fn backfill_locations(diagnostics: &mut [Diagnostic], model: &SemanticModel) {
    for d in diagnostics.iter_mut() {
        if d.location.is_some() {
            continue;
        }
        let resource_id = d.resource_logical_id();
        let property_path = d.property_path.as_deref().unwrap_or("");
        let span = model
            .diagnostic_span(resource_id, property_path)
            .unwrap_or_else(|| resolve_section_span(&d.rule_id, model));
        d.location = span_to_option(span);
    }
}

/// Fills the targeted entity of every diagnostic on a named template entity
/// that did not attach one at emission time, by deriving the entity type and
/// logical ID from its section-absolute property path (`Parameters/MyParam/…`).
/// Resource entities emitted before the model existed (parse- and
/// transform-time) carry no CloudFormation type, so it is filled in from the
/// model here. Like `backfill_locations`, the resolution is monotonic - an
/// already-set entity or resource type is never overridden.
fn backfill_entities(diagnostics: &mut [Diagnostic], model: &SemanticModel) {
    for d in diagnostics.iter_mut() {
        if d.entity.is_none() {
            d.entity = d.property_path.as_deref().and_then(entity_identity).map(|(entity_type, logical_id)| Entity {
                logical_id: logical_id.to_string(),
                entity_type,
                resource_type: None,
            });
        }
        if let Some(entity) = d.entity.as_mut()
            && entity.entity_type == EntityType::Resource
            && entity.resource_type.is_none()
        {
            entity.resource_type = model.resources.get(entity.logical_id.as_str()).map(|r| r.resource_type.clone());
        }
    }
}

pub(crate) fn enrich_diagnostics(
    diagnostics: &mut [Diagnostic],
    model: &SemanticModel,
    registry_metadata: &HashMap<String, RuleMetadataEntry>,
    external_metadata: &HashMap<String, RuleMetadataEntry>,
    format: &DetailLevel,
) {
    if !format.needs_enrichment() {
        return;
    }
    let needs_context = format.needs_context();

    for d in diagnostics.iter_mut() {
        // Custom and Guard rules are user-supplied and have no built-in evaluation
        // phase, so leave their phase unset rather than forcing one. Built-in rules
        // are Schema-phase when fatal and Lint-phase otherwise.
        if d.phase.is_none() && !matches!(d.source, RuleOrigin::Custom | RuleOrigin::Guard) {
            d.phase = Some(if is_fatal_rule(&d.rule_id) { Phase::Schema } else { Phase::Lint });
        }
        if d.rule_description.is_none() {
            d.rule_description = registry_metadata
                .get(&d.rule_id)
                .or_else(|| external_metadata.get(&d.rule_id))
                .map(|entry| entry.description.clone());
        }
        if needs_context && d.context.is_none() {
            d.context =
                build_context(&d.rule_id, d.resource_logical_id(), d.property_path.as_deref().unwrap_or(""), model);
        }
    }
}

pub fn build_rule_list(
    registry: &HashMap<String, RuleMetadataEntry>,
    external: &HashMap<String, RuleMetadataEntry>,
) -> Vec<RuleInfo> {
    let mut rules: Vec<RuleInfo> = registry
        .iter()
        .chain(external.iter())
        .map(|(id, entry)| RuleInfo {
            id: id.clone(),
            severity: entry.severity,
            category: entry.category.clone(),
            description: entry.description.clone(),
            origin: entry.origin,
        })
        .collect();
    rules.sort_by(|a, b| a.id.cmp(&b.id));
    rules
}

pub fn make_resource_diagnostic(
    rule_id: &str,
    message: &str,
    model: &SemanticModel,
    resource_id: &str,
    prop_path: &str,
    suggested_fix: Option<&str>,
) -> Diagnostic {
    make_resource_diagnostic_at_source(rule_id, message, model, resource_id, prop_path, prop_path, suggested_fix)
}

/// Builds a resource diagnostic whose public property path and source-span anchor differ.
/// Scenario-aware rules use this when an effective path maps to an authored intrinsic branch.
pub fn make_resource_diagnostic_at_source(
    rule_id: &str,
    message: &str,
    model: &SemanticModel,
    resource_id: &str,
    prop_path: &str,
    source_path: &str,
    suggested_fix: Option<&str>,
) -> Diagnostic {
    // With no resource, a section-absolute path (`Parameters/MyParam/Type`)
    // anchors the finding at the named entity; without one the section span from
    // the rule-ID table is the closest known location.
    let span = if resource_id.is_empty() {
        match model.diagnostic_span(None, source_path) {
            Some(found) => found,
            None => resolve_section_span(rule_id, model),
        }
    } else {
        model.resource_span(resource_id, source_path)
    };
    RegisteredDiagnostic::new(rule_id, message)
        .property_path(prop_path)
        .location(span)
        .suggested_fix(suggested_fix)
        .resource(resource_id, model.resources.get(resource_id).map(|r| r.resource_type.clone()))
        .build()
}

#[cfg(test)]
mod tests {
    use super::*;
    use diagnostics::Phase;
    use rules::{Category, RuleFilterConfig, build_rule_metadata_map, lookup_rule};
    use std::sync::atomic::{AtomicUsize, Ordering};
    use template_model::{SAM_TRANSFORM_ERROR_PREFIX, SAM_TRANSFORM_ERROR_RULE_ID};

    const TEST_CFN_LINT_VERSION: &str = "https://github.com/aws-cloudformation/cfn-lint@1.54.0";
    const TEST_RESOURCE_SCHEMA_VERSION: &str =
        "https://github.com/aws-cloudformation/resource-provider-enhanced-schemas@2026-08-07T18:20:13Z";
    #[test]
    fn additional_schema_resolve_uses_explicit_type_name() {
        let src = AdditionalSchemaSource {
            type_name: Some("AWS::Lambda::Function".into()),
            schema: r#"{"properties":{"P":{"type":"string"}}}"#.into(),
        };
        let (type_name, schema) = src.resolve().expect("valid schema resolves");
        assert_eq!(type_name, "AWS::Lambda::Function", "an explicit type_name names the target type");
        assert!(schema.is_object());
    }

    #[test]
    fn additional_schema_resolve_accepts_matching_type_names() {
        let src = AdditionalSchemaSource {
            type_name: Some("AWS::Lambda::Function".into()),
            schema: r#"{"typeName":"AWS::Lambda::Function","properties":{"P":{"type":"string"}}}"#.into(),
        };
        let (type_name, _) = src.resolve().expect("agreeing type names resolve");
        assert_eq!(type_name, "AWS::Lambda::Function");
    }

    #[test]
    fn additional_schema_resolve_rejects_contradictory_type_names() {
        let src = AdditionalSchemaSource {
            type_name: Some("AWS::Lambda::Function".into()),
            schema: r#"{"typeName":"AWS::Other::Type","properties":{}}"#.into(),
        };
        let err = src.resolve().expect_err("contradictory type names must fail");
        assert!(
            err.0.contains("AWS::Lambda::Function") && err.0.contains("AWS::Other::Type"),
            "the error must name both types, got: {}",
            err.0
        );
    }

    #[test]
    fn additional_schema_resolve_falls_back_to_schema_type_name() {
        let src = AdditionalSchemaSource {
            type_name: None,
            schema: r#"{"typeName":"AWS::Lambda::Function","properties":{}}"#.into(),
        };
        let (type_name, _) = src.resolve().expect("valid schema resolves");
        assert_eq!(type_name, "AWS::Lambda::Function", "an absent type_name falls back to the schema's typeName");
    }

    #[test]
    fn additional_schema_resolve_rejects_invalid_json() {
        let src =
            AdditionalSchemaSource { type_name: Some("AWS::Lambda::Function".into()), schema: "{ not json ".into() };
        let err = src.resolve().expect_err("invalid JSON must fail");
        assert!(err.0.contains("Invalid additional schema"), "unexpected error: {}", err.0);
    }

    #[test]
    fn additional_schema_resolve_rejects_non_object() {
        let src = AdditionalSchemaSource { type_name: Some("AWS::Lambda::Function".into()), schema: "42".into() };
        let err = src.resolve().expect_err("non-object schema must fail");
        assert!(err.0.contains("expected a JSON object"), "unexpected error: {}", err.0);
    }

    #[test]
    fn additional_schema_resolve_rejects_missing_type_name() {
        let src = AdditionalSchemaSource { type_name: None, schema: r#"{"properties":{}}"#.into() };
        let err = src.resolve().expect_err("missing type name must fail");
        assert!(err.0.contains("missing a resource type name"), "unexpected error: {}", err.0);
    }

    #[test]
    fn additional_schema_resolve_error_names_an_unnamed_source() {
        let src = AdditionalSchemaSource { type_name: None, schema: "{ not json ".into() };
        let err = src.resolve().expect_err("invalid JSON must fail");
        assert!(err.0.contains("<unnamed>"), "unexpected error: {}", err.0);
    }

    #[test]
    fn engine_config_build_overlay_catalog_applies_schemas() {
        let config = EngineConfig::new().with_schema_validator_config(SchemaValidatorConfig {
            additional_schemas: vec![AdditionalSchemaSource {
                type_name: None,
                schema: r#"{"typeName":"AWS::Lambda::Function","properties":{"TestForOverride":{"type":"string"}}}"#
                    .into(),
            }],
        });
        let catalog = config.build_overlay_catalog().expect("valid overlay builds catalog");
        assert!(!catalog.is_empty());
        assert!(catalog.type_names.contains(&"AWS::Lambda::Function".to_string()));
    }

    #[test]
    fn engine_config_build_overlay_catalog_empty_is_noop() {
        let config = EngineConfig::default();
        let catalog = config.build_overlay_catalog().expect("empty config builds empty catalog");
        assert!(catalog.is_empty());
    }

    #[test]
    fn engine_config_builder_composes_without_a_struct_literal() {
        let config = EngineConfig::new()
            .with_custom_rules([ExternalRuleSource { name: "a.rego".into(), content: "package a".into() }])
            .with_guard_rules([ExternalRuleSource { name: "b.guard".into(), content: "rule x {}".into() }])
            .with_schema_validator_config(SchemaValidatorConfig {
                additional_schemas: vec![AdditionalSchemaSource {
                    type_name: Some("AWS::Test::One".into()),
                    schema: r#"{"properties":{"P":{"type":"string"}}}"#.into(),
                }],
            });
        assert_eq!(config.custom_rules.len(), 1);
        assert_eq!(config.guard_rules.len(), 1);
        let sv_config = config.schema_validator_config.as_ref().expect("schema_validator config must be set");
        assert_eq!(sv_config.additional_schemas.len(), 1);
        assert_eq!(sv_config.additional_schemas[0].type_name.as_deref(), Some("AWS::Test::One"));
    }

    #[test]
    fn default_engine_config_serializes_without_the_schema_validator_config_field() {
        let json = serde_json::to_value(EngineConfig::default()).expect("EngineConfig serializes");
        assert!(
            json.get("schemaValidatorConfig").is_none(),
            "an empty schema_validator_config must not change the serialized form, got: {json}"
        );
    }

    #[test]
    fn engine_config_nested_schema_validator_serialization_roundtrip() {
        let config = EngineConfig::new().with_schema_validator_config(SchemaValidatorConfig {
            additional_schemas: vec![AdditionalSchemaSource {
                type_name: Some("AWS::Test::RT".into()),
                schema: r#"{"properties":{}}"#.into(),
            }],
        });
        let json = serde_json::to_value(&config).expect("serializes");
        assert!(json.get("schemaValidatorConfig").is_some(), "nested config must appear in JSON: {json}");
        assert!(json.get("schemaValidator").is_none(), "the old config field must not be serialized: {json}");
        let deserialized: EngineConfig = serde_json::from_value(json).expect("deserializes");
        let sv = deserialized.schema_validator_config.expect("nested config must roundtrip");
        assert_eq!(sv.additional_schemas.len(), 1);
        assert_eq!(sv.additional_schemas[0].type_name.as_deref(), Some("AWS::Test::RT"));
    }

    #[test]
    fn standalone_engine_with_nested_schema_config_derives_metadata() {
        // A standalone engine built from EngineConfig with a nested
        // SchemaValidatorConfig derives overlay-aware metadata from it. This
        // verifies the internal build_overlay_catalog path is exercised.
        let config = EngineConfig::new().with_schema_validator_config(SchemaValidatorConfig {
            additional_schemas: vec![AdditionalSchemaSource {
                type_name: None,
                schema: r#"{"typeName":"AWS::Lambda::Function","properties":{"TestForOverride":{"type":"string"}}}"#
                    .into(),
            }],
        });
        // The engine builds successfully - the nested schema config was resolved.
        let catalog = config.build_overlay_catalog().expect("nested config builds");
        assert!(!catalog.is_empty(), "the catalog must be populated from nested config");
    }

    #[test]
    fn combined_wrapper_style_path_constructs_validator_and_engine_once() {
        // Simulates the binding/CLI pattern: build SchemaValidator once from the
        // nested config, then pass it to the engine via new_with_schema_validator.
        // This ensures the combined path does not re-resolve overlays.
        let schema_config = SchemaValidatorConfig {
            additional_schemas: vec![AdditionalSchemaSource {
                type_name: None,
                schema: r#"{"typeName":"AWS::Lambda::Function","properties":{"TestForOverride":{"type":"string"}}}"#
                    .into(),
            }],
        };
        let validator = schema_validator::SchemaValidator::new(schema_config).expect("validator builds");
        // Verify the catalog is populated from the validator
        assert!(!validator.overlay_catalog().is_empty());
        assert!(validator.overlay_catalog().type_names.contains(&"AWS::Lambda::Function".to_string()));
    }

    #[test]
    fn standalone_schema_validator_config() {
        // SchemaValidator can be built standalone from SchemaValidatorConfig.
        let config = SchemaValidatorConfig {
            additional_schemas: vec![AdditionalSchemaSource {
                type_name: None,
                schema: r#"{"typeName":"AWS::Test::Standalone","properties":{"Name":{"type":"string"}}}"#.into(),
            }],
        };
        let validator = schema_validator::SchemaValidator::new(config).expect("standalone validator builds");
        assert!(validator.overlay_catalog().type_names.contains(&"AWS::Test::Standalone".to_string()));
    }

    fn minimal_model() -> SemanticModel {
        let yaml = br#"
AWSTemplateFormatVersion: "2010-09-09"
Resources:
  Bucket:
    Type: AWS::S3::Bucket
    Properties:
      BucketName: my-bucket
"#;
        SemanticModel::from_bytes(yaml).expect("minimal model should parse")
    }

    fn meta_map() -> HashMap<String, RuleMetadataEntry> {
        build_rule_metadata_map()
    }

    fn default_diag() -> Diagnostic {
        Diagnostic {
            rule_id: String::new(),
            severity: Severity::Info,
            message: String::new(),
            entity: None,
            property_path: None,
            suggested_fix: None,
            documentation_url: None,
            category: None,
            location: None,
            related_resources: None,
            condition_scenario: None,
            rule_description: None,
            phase: None,
            context: None,
            source: RuleOrigin::Engine,
        }
    }

    #[test]
    fn parse_diagnostic_minimal_valid() {
        let model = minimal_model();
        let val: serde_json::Value = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Error.as_str(),
            "message": "Type mismatch",
            "resource_id": "Bucket",
            "resource_path": "Properties.BucketName"
        });
        let diag = parse_diagnostic(&val, &model, None).expect("should parse");
        assert_eq!(diag.rule_id, "E3012");
        assert_eq!(diag.severity, Severity::Error);
        assert_eq!(diag.message, "Type mismatch");
        assert_eq!(diag.resource_logical_id(), Some("Bucket"));
        assert_eq!(diag.entity.as_ref().and_then(|e| e.resource_type.as_deref()), Some("AWS::S3::Bucket"));
    }

    #[test]
    fn parse_diagnostic_missing_rule_id_returns_error() {
        let model = minimal_model();
        let val = serde_json::json!({"severity": Severity::Error.as_str(), "message": "x"});
        parse_diagnostic(&val, &model, None).unwrap_err();
    }

    #[test]
    fn parse_diagnostic_missing_severity_for_builtin_is_accepted() {
        let model = minimal_model();
        let val = serde_json::json!({"rule_id": "E3012", "message": "x"});
        let diag = parse_diagnostic(&val, &model, None).expect("built-in diagnostic must not require severity in JSON");
        assert_eq!(diag.severity, Severity::Error, "registry-derived severity must win for built-in rules");
    }

    #[test]
    fn parse_diagnostic_missing_severity_for_custom_returns_error() {
        let model = minimal_model();
        let val = serde_json::json!({"rule_id": "XCUSTOM", "message": "x"});
        parse_diagnostic(&val, &model, Some(&RuleOrigin::Custom))
            .expect_err("custom/guard diagnostics without severity must error");
    }

    #[test]
    fn parse_diagnostic_builtin_ignores_json_severity() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Warn.as_str(),
            "message": "x"
        });
        let diag = parse_diagnostic(&val, &model, None).unwrap();
        assert_eq!(
            diag.severity,
            Severity::Error,
            "the registry's Error severity for E3012 must override any JSON severity"
        );
    }

    #[test]
    fn parse_diagnostic_missing_message_returns_error() {
        let model = minimal_model();
        let val = serde_json::json!({"rule_id": "E3012", "severity": Severity::Error.as_str()});
        parse_diagnostic(&val, &model, None).unwrap_err();
    }

    #[test]
    fn parse_diagnostic_empty_rule_id_returns_error() {
        let model = minimal_model();
        let val = serde_json::json!({"rule_id": "", "severity": Severity::Error.as_str(), "message": "x"});
        let err = parse_diagnostic(&val, &model, Some(&RuleOrigin::Custom))
            .expect_err("an empty rule_id must be rejected, not accepted as a blank-ID diagnostic");
        assert!(err.contains("empty 'rule_id'"), "got: {err}");
    }

    #[test]
    fn parse_diagnostic_empty_message_returns_error() {
        let model = minimal_model();
        let val = serde_json::json!({"rule_id": "CUSTOM1", "severity": Severity::Error.as_str(), "message": "   "});
        let err =
            parse_diagnostic(&val, &model, Some(&RuleOrigin::Custom)).expect_err("a blank message must be rejected");
        assert!(err.contains("CUSTOM1") && err.contains("empty 'message'"), "got: {err}");
    }

    #[test]
    fn parse_diagnostic_custom_severity_is_authoritative_even_for_f_prefixed_id() {
        // A custom rule chooses its own ID freely, so the built-in `F`-prefix→Fatal
        // heuristic must NOT apply: the declared severity is preserved verbatim. This
        // also keeps the Rego/Guard boundary at parity with the CEL engine, which emits
        // the declared severity directly.
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "FCUSTOM",
            "severity": Severity::Error.as_str(),
            "message": "type mismatch"
        });
        let diag = parse_diagnostic(&val, &model, Some(&RuleOrigin::Custom)).unwrap();
        assert_eq!(diag.severity, Severity::Error, "declared severity must survive an F-prefixed custom ID");
    }

    #[test]
    fn parse_diagnostic_custom_rule_id_allows_separators_but_rejects_punctuation() {
        let model = minimal_model();
        let ok = serde_json::json!({
            "rule_id": "s3.encryption-required_1",
            "severity": Severity::Warn.as_str(),
            "message": "ok"
        });
        assert!(parse_diagnostic(&ok, &model, Some(&RuleOrigin::Custom)).is_ok());

        let bad = serde_json::json!({
            "rule_id": "bad id/with space",
            "severity": Severity::Warn.as_str(),
            "message": "bad"
        });
        let err = parse_diagnostic(&bad, &model, Some(&RuleOrigin::Custom))
            .expect_err("a rule_id with whitespace/punctuation must be rejected");
        assert!(err.contains("invalid 'rule_id'"), "got: {err}");
    }

    #[test]
    fn parse_diagnostic_warning_severity() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "W3045",
            "severity": Severity::Warn.as_str(),
            "message": "warn"
        });
        let diag = parse_diagnostic(&val, &model, None).unwrap();
        assert_eq!(diag.severity, Severity::Warn);
    }

    #[test]
    fn parse_diagnostic_with_suggested_fix_and_doc_url() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Error.as_str(),
            "message": "bad",
            "suggested_fix": "fix it",
            "documentation_url": "https://example.com"
        });
        let diag = parse_diagnostic(&val, &model, None).unwrap();
        assert_eq!(diag.suggested_fix.as_deref(), Some("fix it"));
        assert_eq!(diag.documentation_url.as_deref(), Some("https://example.com"));
    }

    #[test]
    fn parse_diagnostic_empty_resource_id_treated_as_none() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Error.as_str(),
            "message": "x",
            "resource_id": ""
        });
        let diag = parse_diagnostic(&val, &model, None).unwrap();
        assert!(diag.entity.is_none(), "diagnostic without resource_id should have no entity");
    }

    #[test]
    fn parse_diagnostic_accepts_model_matching_explicit_location() {
        let model = minimal_model();
        let expected = model.resource_span("Bucket", "Properties.BucketName");
        let val = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Error.as_str(),
            "message": "x",
            "resource_id": "Bucket",
            "resource_path": "Properties.BucketName",
            "start_line": expected.start_line,
            "start_column": expected.start_column,
            "end_line": expected.end_line,
            "end_column": expected.end_column
        });
        let diag = parse_diagnostic(&val, &model, None).expect("model-matching coordinates should be accepted");
        assert_eq!(diag.location, Some(expected));
    }

    #[test]
    fn parse_diagnostic_rejects_unverified_explicit_location() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "XCUSTOM",
            "severity": Severity::Error.as_str(),
            "message": "x",
            "resource_id": "Bucket",
            "resource_path": "Properties.BucketName",
            "start_line": 42,
            "start_column": 7,
            "end_line": 43,
            "end_column": 9
        });
        let error = parse_diagnostic(&val, &model, Some(&RuleOrigin::Custom))
            .expect_err("custom coordinates outside the declared property must be rejected");
        assert!(error.contains("does not match model-derived span"), "got: {error}");
    }

    #[test]
    fn parse_diagnostic_accepts_verified_conditional_source_path() {
        let model = SemanticModel::from_bytes(
            br#"
Parameters:
  Mode: {Type: String}
Conditions:
  UseFirst: !Equals [!Ref Mode, first]
Resources:
  Record:
    Type: Custom::Record
    Properties:
      Values: !If
        - UseFirst
        - [invalid]
        - [valid]
"#,
        )
        .expect("conditional model should parse");
        let source_path = "Properties.Values.Fn::If.1.0";
        let expected = model.resource_span("Record", source_path);
        let val = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Error.as_str(),
            "message": "x",
            "resource_id": "Record",
            "resource_path": "Properties.Values.0",
            (DIAGNOSTIC_SOURCE_PATH_FIELD): source_path,
            "start_line": expected.start_line,
            "start_column": expected.start_column,
            "end_line": expected.end_line,
            "end_column": expected.end_column
        });
        let diag = parse_diagnostic(&val, &model, None).expect("verified conditional source path should be accepted");
        assert_eq!(diag.location, Some(expected));
    }

    #[test]
    fn parse_diagnostic_rejects_source_path_for_another_property() {
        let model = minimal_model();
        let expected = model.resource_span("Bucket", "Properties.BucketName");
        let val = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Error.as_str(),
            "message": "x",
            "resource_id": "Bucket",
            "resource_path": "Properties.BucketName",
            (DIAGNOSTIC_SOURCE_PATH_FIELD): "Properties.Tags.Fn::If.1.0",
            "start_line": expected.start_line,
            "start_column": expected.start_column,
            "end_line": expected.end_line,
            "end_column": expected.end_column
        });
        let error = parse_diagnostic(&val, &model, None)
            .expect_err("a source path for another property must not relocate the diagnostic");
        assert!(error.contains("instead of resource path 'Properties.BucketName'"), "got: {error}");
    }

    #[test]
    fn parse_diagnostic_unknown_rule_uses_json_category() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "XUNKNOWN",
            "severity": Severity::Error.as_str(),
            "message": "x",
            "category": "my-category"
        });
        let diag = parse_diagnostic(&val, &model, Some(&RuleOrigin::Custom)).unwrap();
        assert_eq!(diag.category.as_deref(), Some("my-category"));
    }

    #[test]
    fn parse_diagnostic_builtin_rule_ignores_json_category_and_uses_registry() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Error.as_str(),
            "message": "x",
            "category": "general"
        });
        let diag = parse_diagnostic(&val, &model, None).unwrap();
        let expected = lookup_rule("E3012").unwrap().category.as_str();
        assert_eq!(
            diag.category.as_deref(),
            Some(expected),
            "a built-in rule takes its category from the registry, ignoring any category in the engine JSON"
        );
    }

    #[test]
    fn parse_diagnostic_with_related_locations() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Error.as_str(),
            "message": "x",
            "related_locations": [{
                "resource_id": "Bucket",
                "start_line": 1,
                "start_column": 2,
                "end_line": 3,
                "end_column": 4,
                "message": "related"
            }]
        });
        let diag = parse_diagnostic(&val, &model, None).unwrap();
        assert_eq!(diag.related_resources.as_ref().unwrap().len(), 1);
        assert_eq!(diag.related_resources.as_ref().unwrap()[0].message, "related");
    }

    #[test]
    fn parse_diagnostic_with_condition_scenario() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Error.as_str(),
            "message": "x",
            "condition_scenario": {"IsProd": true}
        });
        let diag = parse_diagnostic(&val, &model, None).unwrap();
        let scenario = diag.condition_scenario.unwrap();
        assert_eq!(scenario.get("IsProd"), Some(&true));
    }

    #[test]
    fn extract_diagnostics_valid_array() {
        let model = minimal_model();
        let json = serde_json::json!([
            {"rule_id": "E3012", "severity": Severity::Error.as_str(), "message": "a"},
            {"rule_id": "W3045", "severity": Severity::Warn.as_str(), "message": "b"}
        ]);
        let mut out = Vec::new();
        extract_diagnostics(&json.to_string(), &model, &mut out, None).unwrap();
        assert_eq!(out.len(), 2);
        assert_eq!(out[0].rule_id, "E3012");
        assert_eq!(out[1].rule_id, "W3045");
    }

    #[test]
    fn extract_diagnostics_invalid_json_is_error() {
        let model = minimal_model();
        let mut out = Vec::new();
        let result = extract_diagnostics("not json", &model, &mut out, None);
        result.unwrap_err();
    }

    #[test]
    fn extract_diagnostics_non_array_json_is_error() {
        let model = minimal_model();
        let mut out = Vec::new();
        let result = extract_diagnostics(r#"{"key": "value"}"#, &model, &mut out, None);
        result.unwrap_err();
    }

    #[test]
    fn extract_diagnostics_fails_on_missing_required_fields() {
        let model = minimal_model();
        let json = serde_json::json!([
            {"rule_id": "E3012", "severity": Severity::Error.as_str(), "message": "ok"},
            {"bad": "item"},
            {"rule_id": "W3045", "severity": Severity::Warn.as_str(), "message": "ok2"}
        ]);
        let mut out = Vec::new();
        let result = extract_diagnostics(&json.to_string(), &model, &mut out, None);
        result.unwrap_err();
        assert_eq!(out.len(), 1, "first valid item should have been added before failure");
    }

    #[test]
    fn extract_diagnostics_from_value_matches_string_extraction() {
        let model = minimal_model();
        let json = serde_json::json!([
            {"rule_id": "E3012", "severity": Severity::Error.as_str(), "message": "a", "resource_id": "Bucket",
             "resource_path": "Properties.BucketName"},
            {"rule_id": "W3045", "severity": Severity::Warn.as_str(), "message": "b"}
        ]);

        let mut from_string = Vec::new();
        extract_diagnostics(&json.to_string(), &model, &mut from_string, None)
            .expect("string extraction should succeed");
        let mut from_value = Vec::new();
        extract_diagnostics_from_value(&json, &model, &mut from_value, None).expect("value extraction should succeed");

        assert_eq!(
            serde_json::to_value(&from_string).expect("serialize string-extracted diagnostics"),
            serde_json::to_value(&from_value).expect("serialize value-extracted diagnostics"),
            "value input and its serialized string form must yield identical diagnostics"
        );
    }

    #[test]
    fn extract_diagnostics_from_value_rejects_non_array() {
        let model = minimal_model();
        let mut out = Vec::new();
        extract_diagnostics_from_value(&serde_json::json!({"key": "value"}), &model, &mut out, None)
            .expect_err("a non-array value must be rejected the same as the string form");
    }

    #[test]
    fn build_report_counts_severities() {
        let model = minimal_model();
        let diags = vec![
            Diagnostic {
                rule_id: "F3012".into(),
                severity: Severity::Fatal,
                message: "fatal".into(),
                ..default_diag()
            },
            Diagnostic {
                rule_id: "E3012".into(),
                severity: Severity::Error,
                message: "error".into(),
                ..default_diag()
            },
            Diagnostic {
                rule_id: "E3013".into(),
                severity: Severity::Error,
                message: "error2".into(),
                ..default_diag()
            },
            Diagnostic { rule_id: "W3045".into(), severity: Severity::Warn, message: "warn".into(), ..default_diag() },
            Diagnostic { severity: Severity::Info, message: "info".into(), ..default_diag() },
        ];
        let report = build_report_with_versions(
            diags,
            &model,
            3,
            Some(50),
            false,
            Severity::Info,
            String::new(),
            TEST_CFN_LINT_VERSION.to_string(),
            TEST_RESOURCE_SCHEMA_VERSION.to_string(),
        );
        assert_eq!(report.metadata.counts.fatal, 1);
        assert_eq!(report.metadata.counts.errors, 2);
        assert_eq!(report.metadata.counts.warnings, 1);
        assert_eq!(report.metadata.counts.informational, 1);
        assert_eq!(report.metadata.suppressed, 3);
        assert_eq!(report.metadata.rules_evaluated, 50);
        assert_eq!(report.metadata.cfn_lint_version, TEST_CFN_LINT_VERSION);
        assert_eq!(report.metadata.resource_schema_version, TEST_RESOURCE_SCHEMA_VERSION);
        assert!(!report.metadata.strict, "default mode should not be strict");
        assert_eq!(report.metadata.severity_level, Severity::Info);
        assert_eq!(report.metadata.resources_scanned, 1);
        assert_eq!(report.diagnostics.len(), 5);
    }

    #[test]
    fn build_report_empty_diagnostics() {
        let model = minimal_model();
        let report = build_report_with_versions(
            vec![],
            &model,
            0,
            None,
            true,
            Severity::Error,
            String::new(),
            TEST_CFN_LINT_VERSION.to_string(),
            TEST_RESOURCE_SCHEMA_VERSION.to_string(),
        );
        assert_eq!(report.metadata.rules_evaluated, 0);
        assert_eq!(report.metadata.counts.fatal, 0);
        assert_eq!(report.metadata.counts.errors, 0);
        assert_eq!(report.metadata.counts.warnings, 0);
        assert!(report.metadata.strict, "strict mode should be enabled");
        assert_eq!(report.metadata.severity_level, Severity::Error);
        assert!(report.diagnostics.is_empty());
    }

    #[test]
    fn build_report_debug_severity_counted() {
        let model = minimal_model();
        let diags = vec![Diagnostic { severity: Severity::Debug, message: "dbg".into(), ..default_diag() }];
        let report = build_report_with_versions(
            diags,
            &model,
            0,
            None,
            false,
            Severity::Debug,
            String::new(),
            TEST_CFN_LINT_VERSION.to_string(),
            TEST_RESOURCE_SCHEMA_VERSION.to_string(),
        );
        assert_eq!(report.metadata.counts.debug, 1);
        assert_eq!(report.metadata.counts.informational, 0);
    }

    #[test]
    fn build_rule_list_sorted_by_id() {
        let mut meta = HashMap::new();
        meta.insert(
            "E3012".into(),
            RuleMetadataEntry {
                category: Some("schema".into()),
                description: "Type check".into(),
                severity: Severity::Error,
                origin: RuleOrigin::Engine,
            },
        );
        meta.insert(
            "E0001".into(),
            RuleMetadataEntry {
                category: Some("structure".into()),
                description: "Resources".into(),
                severity: Severity::Error,
                origin: RuleOrigin::Engine,
            },
        );
        meta.insert(
            "W3045".into(),
            RuleMetadataEntry {
                category: Some("schema".into()),
                description: "Enum".into(),
                severity: Severity::Warn,
                origin: RuleOrigin::Engine,
            },
        );
        let rules = build_rule_list(&meta, &HashMap::new());
        assert_eq!(rules.len(), 3);
        assert_eq!(rules[0].id, "E0001");
        assert_eq!(rules[1].id, "E3012");
        assert_eq!(rules[2].id, "W3045");
    }

    #[test]
    fn build_rule_list_uses_stored_severity() {
        let mut meta = HashMap::new();
        meta.insert(
            "F3012".into(),
            RuleMetadataEntry {
                category: Some("schema".into()),
                description: "desc".into(),
                severity: Severity::Fatal,
                origin: RuleOrigin::Engine,
            },
        );
        meta.insert(
            "E3012".into(),
            RuleMetadataEntry {
                category: Some("schema".into()),
                description: "desc".into(),
                severity: Severity::Error,
                origin: RuleOrigin::Engine,
            },
        );
        meta.insert(
            "W3045".into(),
            RuleMetadataEntry {
                category: Some("schema".into()),
                description: "desc".into(),
                severity: Severity::Warn,
                origin: RuleOrigin::Engine,
            },
        );
        meta.insert(
            "I9001".into(),
            RuleMetadataEntry {
                category: Some("best-practice".into()),
                description: "desc".into(),
                severity: Severity::Info,
                origin: RuleOrigin::Engine,
            },
        );
        let rules = build_rule_list(&meta, &HashMap::new());
        let find = |id: &str| rules.iter().find(|r| r.id == id).unwrap();
        assert_eq!(find("F3012").severity, Severity::Fatal);
        assert_eq!(find("E3012").severity, Severity::Error);
        assert_eq!(find("W3045").severity, Severity::Warn);
        assert_eq!(find("I9001").severity, Severity::Info);
    }

    #[test]
    fn build_rule_list_schema_category_gets_schema_origin() {
        let mut meta = HashMap::new();
        meta.insert(
            "E3012".into(),
            RuleMetadataEntry {
                category: Some("schema".into()),
                description: "desc".into(),
                severity: Severity::Error,
                origin: RuleOrigin::Schema,
            },
        );
        meta.insert(
            "E0001".into(),
            RuleMetadataEntry {
                category: Some("structure".into()),
                description: "desc".into(),
                severity: Severity::Error,
                origin: RuleOrigin::Engine,
            },
        );
        let rules = build_rule_list(&meta, &HashMap::new());
        let schema_rule = rules.iter().find(|r| r.id == "E3012").unwrap();
        assert!(matches!(schema_rule.origin, RuleOrigin::Schema));
        let struct_rule = rules.iter().find(|r| r.id == "E0001").unwrap();
        assert!(matches!(struct_rule.origin, RuleOrigin::Engine));
    }

    fn make_diag(rule_id: &str, severity: Severity, line: u32, col: u32) -> Diagnostic {
        Diagnostic {
            rule_id: rule_id.into(),
            severity,
            message: format!("msg for {}", rule_id),
            location: Some(SourceSpan { start_line: line, start_column: col, end_line: line, end_column: col }),
            ..default_diag()
        }
    }

    fn make_transform_error_diag() -> Diagnostic {
        Diagnostic {
            message: format!(
                "{} Resource with id [Fn] is invalid. 'AutoPublishAlias' must be a string or a Ref to a template parameter",
                SAM_TRANSFORM_ERROR_PREFIX
            ),
            ..make_diag(SAM_TRANSFORM_ERROR_RULE_ID, Severity::Error, 1, 1)
        }
    }

    #[test]
    fn gate_drops_non_transform_diagnostics_when_transform_error_present() {
        let mut diags = vec![
            make_diag("E3012", Severity::Error, 5, 1),
            make_transform_error_diag(),
            make_diag("I9040", Severity::Info, 7, 1),
        ];
        gate_sam_transform_errors(&mut diags);
        assert_eq!(diags.len(), 1);
        assert!(is_sam_transform_error_message(&diags[0].message));
    }

    #[test]
    fn gate_keeps_all_diagnostics_when_no_transform_error() {
        let mut diags = vec![make_diag("E3012", Severity::Error, 5, 1), make_diag("I9040", Severity::Info, 7, 1)];
        gate_sam_transform_errors(&mut diags);
        assert_eq!(diags.len(), 2);
    }

    #[test]
    fn finalize_sorts_by_severity_then_rule_number_then_location() {
        let config = ValidateConfig::default();
        let mut diags = vec![
            make_diag("W3045", Severity::Warn, 10, 1),
            make_diag("E3012", Severity::Error, 5, 1),
            make_diag("F3012", Severity::Fatal, 5, 1),
        ];
        finalize_diagnostics(&mut diags, &config);
        assert_eq!(diags.len(), 3);
        // Severity orders first: Fatal, then Error, then Warn - regardless of location.
        assert_eq!(diags[0].rule_id, "F3012");
        assert_eq!(diags[1].rule_id, "E3012");
        assert_eq!(diags[2].rule_id, "W3045");
    }

    #[test]
    fn finalize_orders_same_severity_by_rule_number() {
        let config = ValidateConfig::default();
        // Higher-numbered rule appears earlier in the file; rule number must still win.
        let mut diags = vec![make_diag("E3999", Severity::Error, 1, 1), make_diag("E3012", Severity::Error, 50, 1)];
        finalize_diagnostics(&mut diags, &config);
        assert_eq!(diags[0].rule_id, "E3012", "lower rule number sorts first within a severity");
        assert_eq!(diags[1].rule_id, "E3999");
    }

    #[test]
    fn finalize_deduplicates_same_span_rule_message() {
        let config = ValidateConfig::default();
        let d = make_diag("E3012", Severity::Error, 5, 1);
        let mut diags = vec![d.clone(), d];
        let (total_before, suppressed) = finalize_diagnostics(&mut diags, &config);
        assert_eq!(total_before, 2);
        assert_eq!(suppressed, 1);
        assert_eq!(diags.len(), 1);
    }

    #[test]
    fn finalize_keeps_f_and_e_as_separate_diagnostics() {
        let config = ValidateConfig::default();
        let mut diags = vec![make_diag("F3012", Severity::Fatal, 5, 1), make_diag("E3012", Severity::Error, 5, 1)];
        let (_, suppressed) = finalize_diagnostics(&mut diags, &config);
        assert_eq!(suppressed, 0);
        assert_eq!(diags.len(), 2);
        assert_eq!(diags[0].rule_id, "F3012");
        assert_eq!(diags[1].rule_id, "E3012");
    }

    #[test]
    fn finalize_severity_filter_retains_fatal_always() {
        let config = ValidateConfig { severity_level: Severity::Error, strict: false, ..Default::default() };
        let mut diags = vec![
            make_diag("F3012", Severity::Fatal, 1, 1),
            make_diag("E3012", Severity::Error, 2, 1),
            make_diag("W3045", Severity::Warn, 3, 1),
            Diagnostic { severity: Severity::Info, message: "info".into(), location: None, ..default_diag() },
        ];
        finalize_diagnostics(&mut diags, &config);
        assert!(
            diags.iter().all(|d| d.severity >= Severity::Error),
            "all diagnostics should be Error or above after filtering"
        );
        assert_eq!(diags.len(), 2);
    }

    #[test]
    fn finalize_different_messages_not_deduped() {
        let config = ValidateConfig::default();
        let mut d1 = make_diag("E3012", Severity::Error, 5, 1);
        let mut d2 = make_diag("E3012", Severity::Error, 5, 1);
        d1.message = "message A".into();
        d2.message = "message B".into();
        let mut diags = vec![d1, d2];
        finalize_diagnostics(&mut diags, &config);
        assert_eq!(diags.len(), 2);
    }

    /// Regression for a dedup bug where the same rule/message/line was duplicated
    /// across native and WASM builds, separated by a sibling diagnostic.
    ///
    /// Two diagnostics for rule X message M at the same line/col, separated by a sibling
    /// for the same rule but a different message M', must still be deduped. Before the fix
    /// the sort key was (line, col, severity, rule_id) which treated all three as equal;
    /// stable sort preserved insertion order [M, M', M] and `dedup_by` (consecutive-only)
    /// skipped the outer pair. HashMap iteration order means insertion order is random,
    /// so the dedup worked or failed per-process - native fired twice, WASM once.
    #[test]
    fn finalize_dedups_same_rule_message_across_sibling_with_different_message() {
        let config = ValidateConfig::default();
        let mut a1 = make_diag("W2506", Severity::Warn, 125, 1);
        let mut sib = make_diag("W2506", Severity::Warn, 125, 1);
        let mut a2 = make_diag("W2506", Severity::Warn, 125, 1);
        a1.message = "param pWebServerAMI".into();
        sib.message = "param pAppAmi".into();
        a2.message = "param pWebServerAMI".into();
        let mut diags = vec![a1, sib, a2];
        finalize_diagnostics(&mut diags, &config);
        assert_eq!(diags.len(), 2, "W2506 pWebServerAMI must dedup across sibling");
        let msgs: Vec<&str> = diags.iter().map(|d| d.message.as_str()).collect();
        assert!(msgs.contains(&"param pAppAmi"));
        assert!(msgs.contains(&"param pWebServerAMI"));
    }

    #[test]
    fn finalize_strict_upgrades_warnings_to_errors() {
        let config = ValidateConfig { strict: true, ..Default::default() };
        let mut diags = vec![
            make_diag("W3045", Severity::Warn, 1, 1),
            make_diag("E3012", Severity::Error, 2, 1),
            make_diag("F3012", Severity::Fatal, 3, 1),
        ];
        finalize_diagnostics(&mut diags, &config);
        let severity_of = |id: &str| diags.iter().find(|d| d.rule_id == id).map(|d| d.severity);
        assert_eq!(severity_of("W3045"), Some(Severity::Error), "Warn should be upgraded to Error");
        assert_eq!(severity_of("E3012"), Some(Severity::Error), "Error should stay Error");
        assert_eq!(severity_of("F3012"), Some(Severity::Fatal), "Fatal should stay Fatal");
    }

    #[test]
    fn finalize_non_strict_preserves_warning_severity() {
        let config = ValidateConfig { strict: false, ..Default::default() };
        let mut diags = vec![make_diag("W3045", Severity::Warn, 1, 1), make_diag("E3012", Severity::Error, 2, 1)];
        finalize_diagnostics(&mut diags, &config);
        let severity_of = |id: &str| diags.iter().find(|d| d.rule_id == id).map(|d| d.severity);
        assert_eq!(severity_of("W3045"), Some(Severity::Warn), "Warn should be preserved");
        assert_eq!(severity_of("E3012"), Some(Severity::Error), "Error should stay Error");
    }

    #[test]
    fn finalize_disable_builtin_rules_keeps_only_custom_and_guard() {
        let config = ValidateConfig { disable_builtin_rules: true, ..Default::default() };
        let mut diags = vec![
            make_diag("F3006", Severity::Fatal, 1, 1),
            Diagnostic { source: RuleOrigin::Custom, ..make_diag("CUSTOM001", Severity::Warn, 2, 1) },
            Diagnostic { source: RuleOrigin::Guard, ..make_diag("GUARD001", Severity::Warn, 3, 1) },
            make_diag("E3012", Severity::Error, 4, 1),
        ];
        finalize_diagnostics(&mut diags, &config);
        assert_eq!(diags.len(), 2);
        assert_eq!(diags[0].rule_id, "CUSTOM001");
        assert_eq!(diags[1].rule_id, "GUARD001");
    }

    #[test]
    fn finalize_default_config_keeps_all_origins() {
        let config = ValidateConfig::default();
        let mut diags = vec![
            make_diag("F3006", Severity::Fatal, 1, 1),
            Diagnostic { source: RuleOrigin::Custom, ..make_diag("CUSTOM001", Severity::Warn, 2, 1) },
        ];
        finalize_diagnostics(&mut diags, &config);
        assert_eq!(diags.len(), 2);
    }

    #[test]
    fn enrich_adds_phase_and_description() {
        let model = minimal_model();
        let meta = meta_map();
        let mut diags = vec![Diagnostic {
            rule_id: "E3012".into(),
            severity: Severity::Error,
            message: "x".into(),
            entity: Entity::resource("Bucket", Some("AWS::S3::Bucket".into())),
            category: Some(Category::Schema.as_str().into()),
            ..default_diag()
        }];
        enrich_diagnostics(&mut diags, &model, &meta, &HashMap::new(), &DetailLevel::Detailed);
        assert_eq!(diags[0].phase, Some(Phase::Lint));
        assert!(diags[0].rule_description.is_some(), "enriched diagnostic should have rule_description");
    }

    #[test]
    fn enrich_parse_category_gets_parse_phase() {
        let model = minimal_model();
        let meta = meta_map();
        let mut diags = vec![Diagnostic {
            rule_id: "F0000".into(),
            severity: Severity::Fatal,
            message: "dup".into(),
            category: Some(Category::Structure.as_str().into()),
            phase: Some(Phase::Parse),
            ..default_diag()
        }];
        enrich_diagnostics(&mut diags, &model, &meta, &HashMap::new(), &DetailLevel::Detailed);
        assert_eq!(diags[0].phase, Some(Phase::Parse));
    }

    #[test]
    fn enrich_fatal_rule_gets_schema_phase() {
        let model = minimal_model();
        let meta = meta_map();
        let mut diags = vec![Diagnostic {
            rule_id: "F3012".into(),
            severity: Severity::Fatal,
            message: "x".into(),
            ..default_diag()
        }];
        enrich_diagnostics(&mut diags, &model, &meta, &HashMap::new(), &DetailLevel::Detailed);
        assert_eq!(diags[0].phase, Some(Phase::Schema));
    }

    #[test]
    fn enrich_custom_rule_gets_no_phase() {
        let model = minimal_model();
        let meta = meta_map();
        let mut diags = vec![Diagnostic {
            rule_id: "Firewall".into(),
            severity: Severity::Error,
            message: "x".into(),
            source: RuleOrigin::Custom,
            ..default_diag()
        }];
        enrich_diagnostics(&mut diags, &model, &meta, &HashMap::new(), &DetailLevel::Detailed);
        assert_eq!(diags[0].phase, None, "custom rules must not be assigned a phase");
    }

    #[test]
    fn enrich_full_format_builds_context() {
        let model = minimal_model();
        let meta = meta_map();
        let mut diags = vec![Diagnostic {
            rule_id: "E3012".into(),
            severity: Severity::Error,
            message: "x".into(),
            entity: Entity::resource("Bucket", Some("AWS::S3::Bucket".into())),
            property_path: Some("Properties.BucketName".into()),
            ..default_diag()
        }];
        enrich_diagnostics(&mut diags, &model, &meta, &HashMap::new(), &DetailLevel::Detailed);
        assert!(diags[0].context.is_some(), "enriched diagnostic should have context");
    }

    #[test]
    fn enrich_standard_format_skips_enrichment() {
        let model = minimal_model();
        let meta = meta_map();
        let mut diags = vec![Diagnostic {
            rule_id: "E3012".into(),
            severity: Severity::Error,
            message: "x".into(),
            entity: Entity::resource("Bucket", Some("AWS::S3::Bucket".into())),
            property_path: Some("Properties.BucketName".into()),
            ..default_diag()
        }];
        enrich_diagnostics(&mut diags, &model, &meta, &HashMap::new(), &DetailLevel::Standard);
        assert!(diags[0].phase.is_none(), "unenriched diagnostic should have no phase");
        assert!(diags[0].rule_description.is_none(), "unenriched diagnostic should have no rule_description");
        assert!(diags[0].context.is_none(), "unenriched diagnostic should have no context");
    }

    #[test]
    fn make_resource_diagnostic_known_rule() {
        let model = minimal_model();
        let diag = make_resource_diagnostic(
            "E3012",
            "Type mismatch on BucketName",
            &model,
            "Bucket",
            "Properties.BucketName",
            Some("Use a string"),
        );
        assert_eq!(diag.rule_id, "E3012");
        assert_eq!(diag.severity, Severity::Error);
        assert_eq!(diag.resource_logical_id(), Some("Bucket"));
        assert_eq!(diag.suggested_fix.as_deref(), Some("Use a string"));
    }

    #[test]
    #[should_panic(expected = "Rule 'XBOGUS' not found in RULE_REGISTRY")]
    fn make_resource_diagnostic_unknown_rule_panics() {
        let model = minimal_model();
        make_resource_diagnostic("XBOGUS", "msg", &model, "Bucket", "", None);
    }

    #[test]
    fn make_resource_diagnostic_empty_resource_id() {
        let model = minimal_model();
        let diag = make_resource_diagnostic("E3012", "msg", &model, "", "", None);
        assert!(diag.entity.is_none(), "diagnostic without resource_id should have no entity");
    }

    #[test]
    fn build_context_no_resource_returns_none() {
        let model = minimal_model();
        assert!(build_context("E3012", None, "Properties.X", &model).is_none(), "no resource should return None");
    }

    #[test]
    fn build_context_unknown_rule_returns_none() {
        let model = minimal_model();
        assert!(
            build_context("XUNKNOWN", Some("Bucket"), "Properties.X", &model).is_none(),
            "unknown rule should return None"
        );
    }

    #[test]
    fn build_context_e3012_with_property_path() {
        let model = minimal_model();
        let ctx = build_context("E3012", Some("Bucket"), "Properties.BucketName", &model)
            .expect("E3012 with property path should return context");
        assert!(ctx.actual_value.is_some(), "context should have actual_value");
    }

    #[test]
    fn build_context_runtime_rules_carry_actual_value_and_lifecycle() {
        let yaml = br#"
Resources:
  Fn:
    Type: AWS::Lambda::Function
    Properties:
      Runtime: nodejs4.3
"#;
        let model = SemanticModel::from_bytes(yaml).expect("model with lambda runtime");
        for (rule_id, expected_lifecycle) in
            [("E2533", "end-of-life"), ("E2531", "create-blocked"), ("W2531", "deprecated")]
        {
            let ctx = build_context(rule_id, Some("Fn"), "Properties.Runtime", &model)
                .unwrap_or_else(|| panic!("{rule_id} should return context"));
            assert_eq!(
                ctx.actual_value.as_ref().and_then(|v| v.as_str()),
                Some("nodejs4.3"),
                "{rule_id} context should carry the offending runtime string"
            );
            assert_eq!(ctx.lifecycle.as_deref(), Some(expected_lifecycle), "{rule_id} lifecycle marker");
        }
    }

    #[test]
    fn build_context_runtime_omits_actual_value_when_branches_disagree() {
        // Runtime driven by Fn::If resolves to a different value per branch, and the
        // emitter produces one diagnostic per branch. Attaching one branch's value to
        // all would contradict the sibling messages, so no actual_value is set; the
        // lifecycle marker is still safe to attach.
        let yaml = br#"
Parameters:
  Env:
    Type: String
Conditions:
  IsProd: !Equals [!Ref Env, prod]
Resources:
  Fn:
    Type: AWS::Lambda::Function
    Properties:
      Runtime: !If [IsProd, dotnetcore2.1, nodejs4.3]
"#;
        let model = SemanticModel::from_bytes(yaml).expect("model with conditional runtime");
        let ctx = build_context("E2533", Some("Fn"), "Properties.Runtime", &model)
            .expect("E2533 should still return context (lifecycle)");
        assert_eq!(ctx.lifecycle.as_deref(), Some("end-of-life"), "lifecycle is unconditionally safe");
        assert!(
            ctx.actual_value.is_none(),
            "actual_value must be omitted when branches resolve to different runtimes, got {:?}",
            ctx.actual_value
        );
    }

    #[test]
    fn backfill_locations_only_fills_missing_and_resolves_resource_property() {
        let yaml = br#"
Resources:
  Bucket:
    Type: AWS::S3::Bucket
    Properties:
      BucketName: my-bucket
"#;
        let model = SemanticModel::from_bytes(yaml).expect("model");
        let existing = SourceSpan { start_line: 999, start_column: 1, end_line: 999, end_column: 2 };
        let mut diags = vec![
            // Missing location: should be backfilled from the resource property span.
            Diagnostic {
                rule_id: "E3012".into(),
                severity: Severity::Error,
                message: "x".into(),
                entity: Entity::resource("Bucket", None),
                property_path: Some("Properties.BucketName".into()),
                ..default_diag()
            },
            // Already located: must be left untouched.
            Diagnostic {
                rule_id: "E3013".into(),
                severity: Severity::Error,
                message: "y".into(),
                location: Some(existing),
                ..default_diag()
            },
        ];
        backfill_locations(&mut diags, &model);
        assert!(diags[0].location.is_some(), "missing location should be backfilled");
        assert_ne!(diags[0].location, Some(UNKNOWN_SPAN), "backfilled location must be a real span");
        assert_eq!(diags[1].location, Some(existing), "existing location must be preserved");
    }

    #[test]
    fn backfill_entities_derives_from_entity_paths_without_overriding() {
        let model = minimal_model();
        let mut diags = vec![
            // Resource finding: entity was attached at emission and must be kept.
            Diagnostic {
                rule_id: "E3012".into(),
                severity: Severity::Error,
                message: "x".into(),
                entity: Entity::resource("Bucket", None),
                ..default_diag()
            },
            // Non-resource entity finding: derived from the section-absolute path.
            Diagnostic {
                rule_id: "W2001".into(),
                severity: Severity::Warn,
                message: "y".into(),
                property_path: Some("Parameters/MyParam".into()),
                ..default_diag()
            },
            // Template-level finding: no entity.
            Diagnostic { rule_id: "F0001".into(), severity: Severity::Fatal, message: "z".into(), ..default_diag() },
        ];
        backfill_entities(&mut diags, &model);
        let resource = diags[0].entity.as_ref().expect("resource entity preserved");
        assert_eq!(resource.logical_id, "Bucket");
        assert_eq!(resource.entity_type, EntityType::Resource);
        assert_eq!(
            resource.resource_type.as_deref(),
            Some("AWS::S3::Bucket"),
            "missing resource type is filled from the model"
        );
        let parameter = diags[1].entity.as_ref().expect("parameter entity derived from path");
        assert_eq!(parameter.logical_id, "MyParam");
        assert_eq!(parameter.entity_type, EntityType::Parameter);
        assert_eq!(parameter.resource_type, None);
        assert!(diags[2].entity.is_none(), "template-level finding has no entity");
    }

    #[test]
    fn build_context_e3012_empty_path_returns_none() {
        let model = minimal_model();
        let ctx = build_context("E3012", Some("Bucket"), "", &model);
        assert!(ctx.is_none(), "E3012 with empty path should return None");
    }

    #[test]
    fn build_context_f3002_extracts_property_name() {
        let model = minimal_model();
        let ctx = build_context("F3002", Some("Bucket"), "Properties.BucketName", &model)
            .expect("F3002 should return context");
        assert_eq!(ctx.property.as_deref(), Some("BucketName"));
    }

    #[test]
    fn build_context_w3042_sets_deprecated_lifecycle() {
        let model = minimal_model();
        let ctx = build_context("W9009", Some("Bucket"), "", &model).expect("W9009 should return context");
        assert_eq!(ctx.lifecycle.as_deref(), Some("deprecated"));
    }

    #[test]
    fn build_context_i3043_sets_create_only_lifecycle() {
        let model = minimal_model();
        let ctx = build_context("I9001", Some("Bucket"), "", &model).expect("I9001 should return context");
        assert_eq!(ctx.lifecycle.as_deref(), Some("create-only"));
    }

    #[test]
    fn build_context_w9054_sets_write_only_lifecycle() {
        let model = minimal_model();
        let ctx = build_context("W9054", Some("Bucket"), "", &model).expect("W9054 should return context");
        assert_eq!(ctx.lifecycle.as_deref(), Some("write-only"));
    }

    #[test]
    fn parse_diagnostic_debug_severity() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "D9999",
            "severity": Severity::Debug.as_str(),
            "message": "dbg"
        });
        let diag = parse_diagnostic(&val, &model, Some(&RuleOrigin::Custom)).unwrap();
        assert_eq!(diag.severity, Severity::Debug);
    }

    #[test]
    fn parse_diagnostic_no_resource_no_location_resolves_via_section_span() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "F0001",
            "severity": Severity::Fatal.as_str(),
            "message": "no resources"
        });
        let diag = parse_diagnostic(&val, &model, None).unwrap();
        assert_eq!(diag.rule_id, "F0001");
    }

    #[test]
    fn parse_diagnostic_builtin_rule_category_comes_from_registry() {
        let model = minimal_model();
        let val = serde_json::json!({
            "rule_id": "E3012",
            "severity": Severity::Error.as_str(),
            "message": "x"
        });
        let diag = parse_diagnostic(&val, &model, None).unwrap();
        let expected = lookup_rule("E3012").unwrap().category.as_str();
        assert_eq!(diag.category.as_deref(), Some(expected));
    }

    #[test]
    fn build_context_e3030_resolves_actual_value() {
        let model = minimal_model();
        let ctx = build_context("E3030", Some("Bucket"), "Properties.BucketName", &model)
            .expect("E3030 should return context");
        assert!(ctx.actual_value.is_some(), "E3030 context should have actual_value");
    }

    #[test]
    fn build_context_f3006_adds_resource_type() {
        let model = minimal_model();
        let ctx = build_context("F3006", Some("Bucket"), "", &model).expect("F3006 should return context");
        let extra = ctx.extra.unwrap();
        assert_eq!(extra.get("resource_type").and_then(|v| v.as_str()), Some("AWS::S3::Bucket"));
    }

    #[test]
    fn build_context_f3003_noop_returns_none() {
        let model = minimal_model();
        assert!(build_context("F3003", Some("Bucket"), "", &model).is_none(), "F3003 should return None");
    }

    #[test]
    fn build_context_e3053_with_property_path() {
        let model = minimal_model();
        let ctx = build_context("E3053", Some("Bucket"), "Properties.BucketName", &model)
            .expect("E3053 should return context");
        assert!(ctx.actual_value.is_some(), "E3053 context should have actual_value");
    }

    #[test]
    fn build_context_e3053_empty_path_returns_none() {
        let model = minimal_model();
        assert!(
            build_context("E3053", Some("Bucket"), "", &model).is_none(),
            "E3053 with empty path should return None"
        );
    }

    #[test]
    fn build_context_e2501_with_condition() {
        let yaml = br#"
AWSTemplateFormatVersion: "2010-09-09"
Conditions:
  IsProd:
    !Equals [!Ref "AWS::Region", "us-east-1"]
Resources:
  Bucket:
    Type: AWS::S3::Bucket
    Condition: IsProd
"#;
        let model = SemanticModel::from_bytes(yaml).expect("model with condition");
        let ctx =
            build_context("W2503", Some("Bucket"), "", &model).expect("W2503 with condition should return context");
        let extra = ctx.extra.unwrap();
        assert!(extra.contains_key("source_condition"));
    }

    #[test]
    fn build_context_e2501_without_condition_returns_none() {
        let model = minimal_model();
        assert!(
            build_context("W2503", Some("Bucket"), "", &model).is_none(),
            "W2503 without condition should return None"
        );
    }

    #[test]
    fn enrich_preserves_existing_phase_and_description() {
        let model = minimal_model();
        let meta = meta_map();
        let mut diags = vec![Diagnostic {
            rule_id: "E3012".into(),
            severity: Severity::Error,
            message: "x".into(),
            phase: Some(Phase::Lint),
            rule_description: Some("custom desc".into()),
            ..default_diag()
        }];
        enrich_diagnostics(&mut diags, &model, &meta, &HashMap::new(), &DetailLevel::Standard);
        assert_eq!(diags[0].phase, Some(Phase::Lint));
        assert_eq!(diags[0].rule_description.as_deref(), Some("custom desc"));
    }

    #[test]
    fn finalize_warning_level_filters_info() {
        let config = ValidateConfig { severity_level: Severity::Warn, ..Default::default() };
        let mut diags = vec![
            make_diag("F3012", Severity::Fatal, 1, 1),
            make_diag("E3012", Severity::Error, 2, 1),
            make_diag("W3045", Severity::Warn, 3, 1),
            Diagnostic { severity: Severity::Info, message: "info".into(), location: None, ..default_diag() },
        ];
        finalize_diagnostics(&mut diags, &config);
        assert!(
            diags.iter().all(|d| d.severity >= Severity::Warn),
            "all diagnostics should be Warn or above after filtering"
        );
        assert_eq!(diags.len(), 3);
    }

    #[test]
    fn finalize_different_property_paths_not_deduped() {
        let config = ValidateConfig::default();
        let mut d1 = make_diag("E3012", Severity::Error, 5, 1);
        let mut d2 = make_diag("E3012", Severity::Error, 5, 1);
        d1.property_path = Some("Properties.A".into());
        d2.property_path = Some("Properties.B".into());
        let mut diags = vec![d1, d2];
        finalize_diagnostics(&mut diags, &config);
        assert_eq!(diags.len(), 2);
    }

    #[test]
    fn build_rule_list_uses_stored_severity_for_any_rule_id() {
        let mut meta = HashMap::new();
        meta.insert(
            "X9999".into(),
            RuleMetadataEntry {
                category: Some("custom".into()),
                description: "desc".into(),
                severity: Severity::Error,
                origin: RuleOrigin::Engine,
            },
        );
        let rules = build_rule_list(&meta, &HashMap::new());
        assert_eq!(rules[0].severity, Severity::Error);
    }

    #[test]
    fn engine_type_default_is_composite() {
        assert_eq!(EngineType::default(), EngineType::Composite);
    }

    #[test]
    fn engine_type_as_str_and_display_name_every_variant() {
        for (engine, expected) in
            [(EngineType::Rego, "Rego"), (EngineType::Cel, "CEL"), (EngineType::Composite, "Composite")]
        {
            assert_eq!(engine.as_str(), expected);
            assert_eq!(engine.to_string(), expected, "Display must match as_str");
        }
    }

    #[test]
    fn engine_type_parse_accepts_case_insensitive_input() {
        assert_eq!(EngineType::parse("rego"), Ok(EngineType::Rego));
        assert_eq!(EngineType::parse("REGO"), Ok(EngineType::Rego));
        assert_eq!(EngineType::parse("Cel"), Ok(EngineType::Cel));
        assert_eq!(EngineType::parse("CEL"), Ok(EngineType::Cel));
        assert_eq!(EngineType::parse("composite"), Ok(EngineType::Composite));
        assert_eq!(EngineType::parse("COMPOSITE"), Ok(EngineType::Composite));
    }

    #[test]
    fn engine_type_parse_returns_error_for_unknown_value() {
        let error =
            EngineType::parse("unknown").expect_err("an unknown engine selector must return an error, not a default");
        assert!(
            error.contains("Unknown engine type 'unknown'")
                && error.contains("rego")
                && error.contains("cel")
                && error.contains("composite"),
            "the error must name the bad selector and all three valid options, got: {error}"
        );
    }

    #[test]
    fn catch_panics_maps_panic_to_caller_error_type() {
        // The bindings rely on this to keep a panic during engine construction from
        // unwinding across the FFI boundary: it must become the caller's own error type.
        #[derive(Debug, PartialEq)]
        struct BindingError(String);
        let result: Result<(), BindingError> = catch_panics(|| panic!("engine init blew up"), BindingError);
        let error = result.expect_err("a panic must be converted to the caller's error type");
        assert!(error.0.contains("engine init blew up"), "the panic payload must be carried, got: {}", error.0);
    }

    #[test]
    fn catch_panics_passes_through_ok_and_err_without_wrapping() {
        let ok: Result<i32, String> = catch_panics(|| Ok(7), |m| m);
        assert_eq!(ok, Ok(7), "a non-panicking Ok must pass through unchanged");
        let err: Result<i32, String> = catch_panics(|| Err("plain error".to_string()), |_| "panic".to_string());
        assert_eq!(err, Err("plain error".to_string()), "a returned Err must pass through, not be treated as a panic");
    }

    #[test]
    fn validate_catching_panics_converts_panic_to_structured_error() {
        let error = validate_catching_panics(|| panic!("simulated invariant violation"))
            .expect_err("a panic must be converted into a structured error, not propagated");
        match error {
            ValidationError::Engine(message) => assert!(
                message.contains("Internal validation error") && message.contains("simulated invariant violation"),
                "error must wrap the panic payload as a structured engine error, got: {message}"
            ),
            other => panic!("expected ValidationError::Engine, got {other:?}"),
        }
    }

    #[test]
    fn validate_catching_panics_passes_success_through_unchanged() {
        let model = minimal_model();
        let report = validate_catching_panics(|| {
            Ok(build_report_with_versions(
                vec![],
                &model,
                0,
                Some(7),
                false,
                Severity::Info,
                "inline".to_string(),
                TEST_CFN_LINT_VERSION.to_string(),
                TEST_RESOURCE_SCHEMA_VERSION.to_string(),
            ))
        })
        .expect("a non-panicking Ok result must pass through the guard unchanged");
        assert_eq!(report.metadata.rules_evaluated, 7, "the guard must return the closure's report verbatim");
    }

    /// A test engine that fails on demand, to prove that engine failures surface
    /// as errors (exceptions) and are never absorbed into the diagnostics list.
    enum Explosion {
        Panic,
        ReturnErr,
    }

    struct ExplodingEngine {
        mode: Explosion,
        metadata: HashMap<String, RuleMetadataEntry>,
        metric: PhaseMetric,
    }

    impl ExplodingEngine {
        fn new(mode: Explosion) -> Self {
            Self { mode, metadata: HashMap::new(), metric: PhaseMetric { duration_ms: 0.0 } }
        }
    }

    impl ValidationEngine for ExplodingEngine {
        fn engine_name(&self) -> &str {
            "exploding-test-engine"
        }

        fn evaluate_rules(
            &self,
            _model: &Arc<SemanticModel>,
            _config: &ValidateConfig,
        ) -> Result<Vec<Diagnostic>, ValidationError> {
            match self.mode {
                Explosion::Panic => panic!("simulated engine invariant violation"),
                Explosion::ReturnErr => Err(ValidationError::Engine("Simulated engine evaluation failure".to_string())),
            }
        }

        fn list_rules(&self) -> Vec<RuleInfo> {
            Vec::new()
        }

        fn rule_metadata(&self) -> &HashMap<String, RuleMetadataEntry> {
            &self.metadata
        }

        fn external_rule_metadata(&self) -> HashMap<String, RuleMetadataEntry> {
            HashMap::new()
        }

        fn init_metric(&self) -> &PhaseMetric {
            &self.metric
        }
    }

    const WELL_FORMED_TEMPLATE: &[u8] = b"Resources:\n  Bucket:\n    Type: AWS::S3::Bucket\n";

    struct EnrichmentTrackingEngine {
        external_metadata_requests: AtomicUsize,
        metadata: HashMap<String, RuleMetadataEntry>,
        metric: PhaseMetric,
    }

    impl EnrichmentTrackingEngine {
        fn new() -> Self {
            Self {
                external_metadata_requests: AtomicUsize::new(0),
                metadata: build_rule_metadata_map(),
                metric: PhaseMetric { duration_ms: 0.0 },
            }
        }
    }

    impl ValidationEngine for EnrichmentTrackingEngine {
        fn engine_name(&self) -> &str {
            "enrichment-tracking-engine"
        }

        fn evaluate_rules(
            &self,
            _model: &Arc<SemanticModel>,
            _config: &ValidateConfig,
        ) -> Result<Vec<Diagnostic>, ValidationError> {
            Ok(vec![Diagnostic {
                rule_id: "E3012".into(),
                severity: Severity::Error,
                message: "tracking diagnostic".into(),
                ..default_diag()
            }])
        }

        fn list_rules(&self) -> Vec<RuleInfo> {
            Vec::new()
        }

        fn rule_metadata(&self) -> &HashMap<String, RuleMetadataEntry> {
            &self.metadata
        }

        fn external_rule_metadata(&self) -> HashMap<String, RuleMetadataEntry> {
            self.external_metadata_requests.fetch_add(1, Ordering::SeqCst);
            HashMap::new()
        }

        fn init_metric(&self) -> &PhaseMetric {
            &self.metric
        }
    }

    #[test]
    fn standard_detail_level_bypasses_enrichment_metadata_lookup() {
        let schema_validator = SchemaValidator::default();
        let standard_engine = EnrichmentTrackingEngine::new();
        let standard_report = validate_bytes(
            &standard_engine,
            &schema_validator,
            WELL_FORMED_TEMPLATE,
            ValidateConfig { detail_level: DetailLevel::Standard, ..Default::default() },
        )
        .expect("STANDARD validation must succeed");

        assert_eq!(
            standard_engine.external_metadata_requests.load(Ordering::SeqCst),
            0,
            "STANDARD must not request metadata used only by diagnostic enrichment"
        );
        let standard_diagnostic = standard_report
            .diagnostics
            .iter()
            .find(|diagnostic| diagnostic.message == "tracking diagnostic")
            .expect("the tracking diagnostic must be present");
        assert!(standard_diagnostic.phase.is_none());
        assert!(standard_diagnostic.rule_description.is_none());
        assert!(standard_diagnostic.context.is_none());

        let detailed_engine = EnrichmentTrackingEngine::new();
        let detailed_report = validate_bytes(
            &detailed_engine,
            &schema_validator,
            WELL_FORMED_TEMPLATE,
            ValidateConfig { detail_level: DetailLevel::Detailed, ..Default::default() },
        )
        .expect("DETAILED validation must succeed");

        assert_eq!(
            detailed_engine.external_metadata_requests.load(Ordering::SeqCst),
            1,
            "DETAILED must request external metadata for diagnostic enrichment"
        );
        let detailed_diagnostic = detailed_report
            .diagnostics
            .iter()
            .find(|diagnostic| diagnostic.message == "tracking diagnostic")
            .expect("the tracking diagnostic must be present");
        assert_eq!(detailed_diagnostic.phase, Some(Phase::Lint));
        assert!(detailed_diagnostic.rule_description.is_some());
    }

    /// A test engine that records specified budget kinds during evaluation.
    struct BudgetExhaustingEngine {
        kinds: Vec<template_model::BudgetKind>,
        metadata: HashMap<String, RuleMetadataEntry>,
        metric: PhaseMetric,
    }

    impl BudgetExhaustingEngine {
        fn new(kinds: Vec<template_model::BudgetKind>) -> Self {
            Self { kinds, metadata: build_rule_metadata_map(), metric: PhaseMetric { duration_ms: 0.0 } }
        }
    }

    impl ValidationEngine for BudgetExhaustingEngine {
        fn engine_name(&self) -> &str {
            "budget-test-engine"
        }

        fn evaluate_rules(
            &self,
            model: &Arc<SemanticModel>,
            _config: &ValidateConfig,
        ) -> Result<Vec<Diagnostic>, ValidationError> {
            for kind in &self.kinds {
                model.record_budget_exhaustion(*kind);
            }
            Ok(Vec::new())
        }

        fn list_rules(&self) -> Vec<RuleInfo> {
            Vec::new()
        }

        fn rule_metadata(&self) -> &HashMap<String, RuleMetadataEntry> {
            &self.metadata
        }

        fn external_rule_metadata(&self) -> HashMap<String, RuleMetadataEntry> {
            HashMap::new()
        }

        fn init_metric(&self) -> &PhaseMetric {
            &self.metric
        }
    }

    #[test]
    fn budget_exhaustion_emits_one_warning_with_metadata() {
        use template_model::BudgetKind;
        let engine = BudgetExhaustingEngine::new(vec![
            BudgetKind::ResolverDepth,
            BudgetKind::EnumExpansion,
            BudgetKind::ResolverDepth, // duplicate — must not create a second entry
        ]);
        let schema_validator = SchemaValidator::default();
        let report = validate_bytes(
            &engine,
            &schema_validator,
            WELL_FORMED_TEMPLATE,
            ValidateConfig { detail_level: DetailLevel::Detailed, ..Default::default() },
        )
        .expect("validation must succeed");

        let budget_warnings: Vec<_> = report.diagnostics.iter().filter(|d| d.rule_id == "W9052").collect();
        assert_eq!(budget_warnings.len(), 1, "exactly one aggregate budget warning must be emitted");
        let w = budget_warnings[0];
        assert_eq!(w.severity, Severity::Warn);
        assert_eq!(
            w.rule_description.as_deref(),
            Some("Deterministic validation budgets were exhausted; see report metadata for completeness impact")
        );
        assert_eq!(w.category.as_deref(), Some(Category::Structure.as_str()));
        assert_eq!(w.source, RuleOrigin::Engine);
        assert_eq!(w.phase, Some(Phase::Lint));

        assert_eq!(report.status, ReportStatus::AnalysisIncomplete);
        let budget_exhaustions =
            report.metadata.budget_exhaustions.as_deref().expect("exhausted budgets must be present in metadata");
        assert_eq!(budget_exhaustions.len(), 2, "two distinct kinds, not three");
        // Deterministic order (BTreeSet)
        assert_eq!(budget_exhaustions[0].kind, "resolverDepth");
        assert_eq!(budget_exhaustions[0].description, BudgetKind::ResolverDepth.description());
        assert_eq!(budget_exhaustions[0].limit, BudgetKind::ResolverDepth.limit());
        assert_eq!(budget_exhaustions[1].kind, "enumExpansion");
        assert_eq!(budget_exhaustions[1].description, BudgetKind::EnumExpansion.description());

        // Context must be present at the DETAILED detail level.
        assert!(w.context.is_some(), "budget warning context must be attached at the DETAILED detail level");
        let ctx = w.context.as_ref().unwrap();
        let extra = ctx.extra.as_ref().expect("context.extra must be populated");
        assert!(extra.contains_key("budgetExhaustions"));
    }

    #[test]
    fn standard_detail_level_skips_budget_warning_enrichment() {
        use template_model::BudgetKind;

        let engine = BudgetExhaustingEngine::new(vec![BudgetKind::ResolverDepth]);
        let schema_validator = SchemaValidator::default();
        let report = validate_bytes(
            &engine,
            &schema_validator,
            WELL_FORMED_TEMPLATE,
            ValidateConfig { detail_level: DetailLevel::Standard, ..Default::default() },
        )
        .expect("STANDARD validation must succeed");

        let warning = report
            .diagnostics
            .iter()
            .find(|diagnostic| diagnostic.rule_id == "W9052")
            .expect("budget exhaustion must still emit its aggregate warning");
        assert!(warning.phase.is_none());
        assert!(warning.context.is_none());

        let budget_exhaustions = report
            .metadata
            .budget_exhaustions
            .as_deref()
            .expect("budget metadata must remain available without diagnostic enrichment");
        assert_eq!(budget_exhaustions.len(), 1);
        assert_eq!(budget_exhaustions[0].kind, "resolverDepth");
    }

    #[test]
    fn context_only_required_property_combinations_keeps_report_status_ok() {
        use template_model::BudgetKind;

        let choice_count = BudgetKind::RequiredPropertyCombinations.limit() as usize + 1;
        let choices: Vec<String> = (0..choice_count).map(|index| format!("Choice{index:03}")).collect();
        let properties: serde_json::Map<String, serde_json::Value> =
            choices.iter().map(|choice| (choice.clone(), serde_json::json!({"type": "string"}))).collect();
        let schema_validator = SchemaValidator::try_with_additional_schemas(vec![(
            "AWS::Test::RequiredCombinationBudget",
            serde_json::json!({
                "properties": properties,
                "anyOf": [{"requiredOr": choices}],
                "additionalProperties": false
            }),
        )])
        .expect("test schema must compile");
        let template = b"Resources:\n  R:\n    Type: AWS::Test::RequiredCombinationBudget\n    Properties: {}\n";
        let engine = BudgetExhaustingEngine::new(Vec::new());

        let report = validate_bytes(&engine, &schema_validator, template, ValidateConfig::default())
            .expect("validation must succeed");

        let budget_warnings: Vec<_> =
            report.diagnostics.iter().filter(|diagnostic| diagnostic.rule_id == "W9052").collect();
        assert_eq!(budget_warnings.len(), 1);
        assert_eq!(report.status, ReportStatus::Ok);
        let budget_exhaustions =
            report.metadata.budget_exhaustions.as_deref().expect("context-only exhaustion must be present in metadata");
        assert_eq!(budget_exhaustions.len(), 1);
        assert_eq!(budget_exhaustions[0].kind, "requiredPropertyCombinations");
        assert_eq!(budget_exhaustions[0].description, BudgetKind::RequiredPropertyCombinations.description());
        assert_eq!(budget_exhaustions[0].limit, BudgetKind::RequiredPropertyCombinations.limit());
        assert!(!budget_exhaustions[0].analysis_incomplete);
    }

    #[test]
    fn severity_filtering_removes_warning_but_metadata_persists() {
        use template_model::BudgetKind;
        let engine = BudgetExhaustingEngine::new(vec![BudgetKind::ResolverDepth]);
        let schema_validator = SchemaValidator::default();
        let report = validate_bytes(
            &engine,
            &schema_validator,
            WELL_FORMED_TEMPLATE,
            ValidateConfig { severity_level: Severity::Error, ..Default::default() },
        )
        .expect("validation must succeed");

        let budget_warnings: Vec<_> = report.diagnostics.iter().filter(|d| d.rule_id == "W9052").collect();
        assert!(budget_warnings.is_empty(), "severity filter must remove the warning");
        assert_eq!(
            report.status,
            ReportStatus::AnalysisIncomplete,
            "status reflects correctness-affecting exhaustion regardless of filter"
        );
        assert!(report.metadata.budget_exhaustions.is_some());
    }

    #[test]
    fn parse_error_sets_error_status_without_budget_warning() {
        let schema_validator = SchemaValidator::default();
        let engine = BudgetExhaustingEngine::new(vec![]);
        let report = validate_bytes_with_path(
            &engine,
            &schema_validator,
            b"{ not valid yaml or json <<<",
            ValidateConfig::default(),
            "bad.yaml".to_string(),
        )
        .expect("parse errors return Ok with error diagnostics");

        assert_eq!(report.status, ReportStatus::Error);
        assert!(report.metadata.budget_exhaustions.is_none());
        let budget_warnings: Vec<_> = report.diagnostics.iter().filter(|d| d.rule_id == "W9052").collect();
        assert!(budget_warnings.is_empty(), "parse errors must not emit a budget warning");
    }

    #[test]
    fn category_filtering_removes_warning_but_metadata_persists() {
        use template_model::BudgetKind;
        let engine = BudgetExhaustingEngine::new(vec![BudgetKind::ResolverDepth]);
        let schema_validator = SchemaValidator::default();
        let filters = FilterConfig::new(
            RuleFilterConfig::default(),
            RuleFilterConfig {
                categories: vec![Category::Structure.as_str().to_string()],
                ..RuleFilterConfig::default()
            },
        );
        let report = validate_bytes(
            &engine,
            &schema_validator,
            WELL_FORMED_TEMPLATE,
            ValidateConfig { filters, ..ValidateConfig::default() },
        )
        .expect("validation must succeed");

        assert!(report.diagnostics.iter().all(|diagnostic| diagnostic.rule_id != "W9052"));
        assert_eq!(report.status, ReportStatus::AnalysisIncomplete);
        let budget_exhaustions = report
            .metadata
            .budget_exhaustions
            .as_deref()
            .expect("exhausted budget must be present despite warning suppression");
        assert_eq!(budget_exhaustions.len(), 1);
        assert_eq!(budget_exhaustions[0].kind, "resolverDepth");
    }

    #[test]
    fn disabling_builtins_suppresses_warning_but_metadata_persists() {
        use template_model::BudgetKind;
        let engine = BudgetExhaustingEngine::new(vec![BudgetKind::ResolverDepth]);
        let schema_validator = SchemaValidator::default();
        let report = validate_bytes(
            &engine,
            &schema_validator,
            WELL_FORMED_TEMPLATE,
            ValidateConfig { disable_builtin_rules: true, ..ValidateConfig::default() },
        )
        .expect("validation must succeed");

        assert!(report.diagnostics.iter().all(|diagnostic| diagnostic.rule_id != "W9052"));
        assert_eq!(report.status, ReportStatus::AnalysisIncomplete);
        let budget_exhaustions = report
            .metadata
            .budget_exhaustions
            .as_deref()
            .expect("exhausted budget must be present despite warning suppression");
        assert_eq!(budget_exhaustions.len(), 1);
        assert_eq!(budget_exhaustions[0].kind, "resolverDepth");
    }

    #[test]
    fn non_curtailed_fixture_omits_exhaustions_and_has_ok_status() {
        let engine = BudgetExhaustingEngine::new(vec![]); // no exhaustions
        let schema_validator = SchemaValidator::default();
        let report = validate_bytes(&engine, &schema_validator, WELL_FORMED_TEMPLATE, ValidateConfig::default())
            .expect("validation must succeed");

        assert_eq!(report.status, ReportStatus::Ok);
        assert!(report.metadata.budget_exhaustions.is_none());
        let budget_warnings: Vec<_> = report.diagnostics.iter().filter(|d| d.rule_id == "W9052").collect();
        assert!(budget_warnings.is_empty());
    }

    #[test]
    fn engine_exception_surfaces_as_error_never_as_diagnostic() {
        let schema_validator = SchemaValidator::default();
        let engine = ExplodingEngine::new(Explosion::ReturnErr);
        let result = validate_bytes_with_path(
            &engine,
            &schema_validator,
            WELL_FORMED_TEMPLATE,
            ValidateConfig::default(),
            "inline".to_string(),
        );
        match result {
            Err(ValidationError::Engine(message)) => assert!(
                message.contains("Simulated engine evaluation failure"),
                "an engine exception must surface verbatim as an error, got: {message}"
            ),
            Ok(report) => panic!(
                "an engine exception must surface as Err, never as an Ok report with \
                 diagnostics; got {} diagnostics",
                report.diagnostics.len()
            ),
            Err(other) => panic!("expected ValidationError::Engine, got {other:?}"),
        }
    }

    #[test]
    fn engine_panic_is_caught_as_error_never_as_diagnostic() {
        let schema_validator = SchemaValidator::default();
        let engine = ExplodingEngine::new(Explosion::Panic);
        let result = validate_catching_panics(|| {
            validate_bytes_with_path(
                &engine,
                &schema_validator,
                WELL_FORMED_TEMPLATE,
                ValidateConfig::default(),
                "inline".to_string(),
            )
        });
        match result {
            Err(ValidationError::Engine(message)) => assert!(
                message.contains("Internal validation error")
                    && message.contains("simulated engine invariant violation"),
                "a panic must surface as a structured internal error, got: {message}"
            ),
            Ok(report) => panic!(
                "a panic must surface as Err, never as an Ok report with diagnostics; got {} \
                 diagnostics",
                report.diagnostics.len()
            ),
            Err(other) => panic!("expected ValidationError::Engine, got {other:?}"),
        }
    }
}