// schema.sy -- Cognitive Structures
// Persistent knowledge that biases processing.
// Schemas are points in topos space with templates and version history.
//
// Piaget loop: equilibrium -> disequilibrium -> accommodation -> new equilibrium
// Schemas learn from mistakes via version snapshots.
//
// Aislinn McCubbins, April 2026

use topos::{Section, ConceptBank}

// === SCHEMA ===
// A persistent cognitive structure in 34D topos space.

struct Schema {
    id: String,
    anchor: Section,
    confidence: Float,
    activation_count: Int,
    template: String,
    versions: Vec<VersionSnapshot>,
    event_patterns: Vec<EventPattern>,
}

struct VersionSnapshot {
    version: Int,
    anchor: Section,
    confidence: Float,
    reason: String,
    error_signal: Float,
}

struct EventPattern {
    trigger: String,
    expected: String,
    confidence: Float,
}

impl Schema {
    fn new(id: String, anchor: Section) -> Schema {
        Schema {
            id: id,
            anchor: anchor,
            confidence: 0.5,
            activation_count: 0,
            template: "",
            versions: [],
            event_patterns: [],
        }
    }

    fn with_template(mut self, template: String) -> Schema {
        self.template = template
        self
    }

    fn on_pattern(mut self, trigger: String, expected: String, confidence: Float) -> Schema {
        // Add event pattern
        self
    }

    fn activate(&mut self) {
        self.activation_count = self.activation_count + 1
        self.confidence = self.confidence + 0.001
        if self.confidence > 0.99 {
            self.confidence = 0.99
        }
    }

    fn accommodate(&mut self, new_anchor: Section, rate: Float, reason: String) -> Float {
        // Save version snapshot BEFORE modification
        let snapshot = VersionSnapshot {
            version: 0,
            anchor: self.anchor,
            confidence: self.confidence,
            reason: reason,
            error_signal: 0.0,
        }

        // Confidence drops on accommodation (uncertainty from change)
        self.confidence = self.confidence * 0.95
        if self.confidence < 0.1 {
            self.confidence = 0.1
        }

        0.0
    }

    fn rollback(&mut self, target_version: Int) -> Bool {
        // Restore anchor from version history
        false
    }

    fn distance_to(&self, point: Section) -> Float {
        self.anchor.distance_to(point)
    }

    fn drift_velocity(&self, last_n: Int) -> Float {
        // How fast this schema has been changing
        0.0
    }
}

// === SCHEMA STORE ===
// Fast lookup via KD-tree. Biases cascade gates on match.

temporal struct SchemaStore {
    state schemas: Vec<Schema>,
    state modulation_blend: Float = 0.2,
}

impl Evolve for SchemaStore {
    fn evolve(&mut self, dt: Duration) {
        // Schemas are stable -- no temporal evolution needed
        // But the store is temporal so it participates in the system
    }
}

impl SchemaStore {
    fn new() -> SchemaStore {
        SchemaStore {
            schemas: [],
            modulation_blend: 0.2,
        }
    }

    fn add(&mut self, schema: Schema) {
        // Add and rebuild KD-tree index
    }

    fn match_against(&self, input: Section, k: Int) -> Vec<Schema> {
        // KD-tree nearest neighbor search
        // Returns top-k matching schemas
        []
    }

    fn modulate(&self, cascade: Cascade, matched: Vec<Schema>) {
        // Bias cascade gate values toward matched schema anchors
        // Closer schemas with higher confidence get more influence
    }
}
