use serde::{Deserialize, Serialize};
use serde_json::Value;
use std::collections::HashMap;
use tracing::warn;
use crate::models::{BrainRegion, CorticalArea, CorticalAreaDimensions};
use feagi_structures::genomic::cortical_area::CorticalAreaType;
use feagi_structures::genomic::RegionType;
use crate::types::{BduError, BduResult};
#[derive(Debug, Clone)]
pub struct ParsedGenome {
pub genome_id: String,
pub genome_title: String,
pub version: String,
pub cortical_areas: Vec<CorticalArea>,
pub brain_regions: Vec<(BrainRegion, Option<String>)>,
pub neuron_morphologies: HashMap<String, Value>,
pub physiology: Option<Value>,
}
#[derive(Debug, Clone, Deserialize, Serialize)]
pub struct RawGenome {
pub genome_id: Option<String>,
pub genome_title: Option<String>,
pub genome_description: Option<String>,
pub version: String,
pub blueprint: HashMap<String, RawCorticalArea>,
#[serde(default)]
pub brain_regions: HashMap<String, RawBrainRegion>,
#[serde(default)]
pub neuron_morphologies: HashMap<String, Value>,
#[serde(default)]
pub physiology: Option<Value>,
}
#[derive(Debug, Clone, Deserialize, Serialize)]
pub struct RawCorticalArea {
pub cortical_name: Option<String>,
pub block_boundaries: Option<Vec<u32>>,
pub relative_coordinate: Option<Vec<i32>>,
pub cortical_type: Option<String>,
pub group_id: Option<String>,
pub sub_group_id: Option<String>,
pub per_voxel_neuron_cnt: Option<u32>,
pub cortical_mapping_dst: Option<Value>,
pub synapse_attractivity: Option<f32>,
pub refractory_period: Option<u32>,
pub firing_threshold: Option<f32>,
pub leak_coefficient: Option<f32>,
pub neuron_excitability: Option<f32>,
pub postsynaptic_current: Option<f32>,
pub postsynaptic_current_max: Option<f32>,
pub degeneration: Option<f32>,
pub psp_uniform_distribution: Option<bool>,
pub mp_charge_accumulation: Option<bool>,
pub mp_driven_psp: Option<bool>,
pub visualization: Option<bool>,
#[serde(rename = "2d_coordinate")]
pub coordinate_2d: Option<Vec<i32>>,
pub is_mem_type: Option<bool>,
pub longterm_mem_threshold: Option<u32>,
pub lifespan_growth_rate: Option<f32>,
pub init_lifespan: Option<u32>,
pub temporal_depth: Option<u32>,
pub consecutive_fire_cnt_max: Option<u32>,
pub snooze_length: Option<u32>,
#[serde(flatten)]
pub other: HashMap<String, Value>,
}
#[derive(Debug, Clone, Deserialize, Serialize)]
pub struct RawBrainRegion {
pub title: Option<String>,
pub description: Option<String>,
pub parent_region_id: Option<String>,
pub coordinate_2d: Option<Vec<i32>>,
pub coordinate_3d: Option<Vec<i32>>,
pub areas: Option<Vec<String>>,
pub regions: Option<Vec<String>>,
pub inputs: Option<Vec<String>>,
pub outputs: Option<Vec<String>>,
pub signature: Option<String>,
}
pub struct GenomeParser;
impl GenomeParser {
pub fn parse(json_str: &str) -> BduResult<ParsedGenome> {
let raw: RawGenome = serde_json::from_str(json_str)
.map_err(|e| BduError::InvalidGenome(format!("Failed to parse JSON: {}", e)))?;
if !raw.version.starts_with("2.") && !raw.version.starts_with("3.") && raw.version != "3" {
return Err(BduError::InvalidGenome(format!(
"Unsupported genome version: {}. Expected 2.x or 3.x",
raw.version
)));
}
let cortical_areas = Self::parse_cortical_areas(&raw.blueprint)?;
let brain_regions = Self::parse_brain_regions(&raw.brain_regions)?;
Ok(ParsedGenome {
genome_id: raw.genome_id.unwrap_or_else(|| "unknown".to_string()),
genome_title: raw.genome_title.unwrap_or_else(|| "Untitled".to_string()),
version: raw.version,
cortical_areas,
brain_regions,
neuron_morphologies: raw.neuron_morphologies,
physiology: raw.physiology,
})
}
fn parse_cortical_areas(
blueprint: &HashMap<String, RawCorticalArea>,
) -> BduResult<Vec<CorticalArea>> {
let mut areas = Vec::with_capacity(blueprint.len());
for (cortical_id, raw_area) in blueprint.iter() {
if cortical_id.is_empty() || cortical_id.len() != 6 {
warn!(target: "feagi-bdu","Skipping invalid cortical_id: {}", cortical_id);
continue;
}
let name = raw_area.cortical_name.clone()
.unwrap_or_else(|| cortical_id.clone());
let dimensions = if let Some(boundaries) = &raw_area.block_boundaries {
if boundaries.len() != 3 {
return Err(BduError::InvalidArea(format!(
"Invalid block_boundaries for {}: expected 3 values, got {}",
cortical_id, boundaries.len()
)));
}
CorticalAreaDimensions::new(
boundaries[0],
boundaries[1],
boundaries[2]
).map_err(|e| BduError::InvalidArea(format!("Invalid dimensions for {}: {}", cortical_id, e)))?
} else {
warn!(target: "feagi-bdu","Cortical area {} missing block_boundaries, defaulting to 1x1x1", cortical_id);
CorticalAreaDimensions::new(1, 1, 1).map_err(|e| BduError::InvalidArea(format!("Invalid default dimensions: {}", e)))?
};
let position = if let Some(coords) = &raw_area.relative_coordinate {
if coords.len() != 3 {
return Err(BduError::InvalidArea(format!(
"Invalid relative_coordinate for {}: expected 3 values, got {}",
cortical_id, coords.len()
)));
}
(coords[0], coords[1], coords[2])
} else {
warn!(target: "feagi-bdu","Cortical area {} missing relative_coordinate, defaulting to (0,0,0)", cortical_id);
(0, 0, 0)
};
let area_type = Self::parse_area_type(raw_area.cortical_type.as_deref())?;
let mut area = CorticalArea::new(
cortical_id.clone(),
0, name,
dimensions,
position,
area_type,
)?;
if let Some(v) = raw_area.synapse_attractivity {
area.properties.insert("synapse_attractivity".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.refractory_period {
area.properties.insert("refractory_period".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.firing_threshold {
area.properties.insert("firing_threshold".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.leak_coefficient {
area.properties.insert("leak_coefficient".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.neuron_excitability {
area.properties.insert("neuron_excitability".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.postsynaptic_current {
area.properties.insert("postsynaptic_current".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.postsynaptic_current_max {
area.properties.insert("postsynaptic_current_max".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.degeneration {
area.properties.insert("degeneration".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.psp_uniform_distribution {
area.properties.insert("psp_uniform_distribution".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.mp_charge_accumulation {
area.properties.insert("mp_charge_accumulation".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.mp_driven_psp {
area.properties.insert("mp_driven_psp".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.visualization {
area.properties.insert("visualization".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.is_mem_type {
area.properties.insert("is_mem_type".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.longterm_mem_threshold {
area.properties.insert("longterm_mem_threshold".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.lifespan_growth_rate {
area.properties.insert("lifespan_growth_rate".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.init_lifespan {
area.properties.insert("init_lifespan".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.temporal_depth {
area.properties.insert("temporal_depth".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.consecutive_fire_cnt_max {
area.properties.insert("consecutive_fire_cnt_max".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.snooze_length {
area.properties.insert("snooze_length".to_string(), serde_json::json!(v));
}
if let Some(v) = &raw_area.group_id {
area.properties.insert("group_id".to_string(), serde_json::json!(v));
}
if let Some(v) = &raw_area.sub_group_id {
area.properties.insert("sub_group_id".to_string(), serde_json::json!(v));
}
if let Some(v) = raw_area.per_voxel_neuron_cnt {
area.neurons_per_voxel = v;
}
if let Some(v) = &raw_area.cortical_mapping_dst {
area.properties.insert("cortical_mapping_dst".to_string(), v.clone());
}
if let Some(v) = &raw_area.coordinate_2d {
area.properties.insert("2d_coordinate".to_string(), serde_json::json!(v));
}
for (key, value) in &raw_area.other {
area.properties.insert(key.clone(), value.clone());
}
areas.push(area);
}
Ok(areas)
}
fn parse_brain_regions(
raw_regions: &HashMap<String, RawBrainRegion>,
) -> BduResult<Vec<(BrainRegion, Option<String>)>> {
let mut regions = Vec::with_capacity(raw_regions.len());
for (region_id, raw_region) in raw_regions.iter() {
let title = raw_region.title.clone()
.unwrap_or_else(|| region_id.clone());
let region_type = RegionType::Undefined;
let mut region = BrainRegion::new(
region_id.clone(),
title,
region_type,
)?;
if let Some(areas) = &raw_region.areas {
for area_id in areas {
region.add_area(area_id.clone());
}
}
if let Some(desc) = &raw_region.description {
region.properties.insert("description".to_string(), serde_json::json!(desc));
}
if let Some(coord_2d) = &raw_region.coordinate_2d {
region.properties.insert("coordinate_2d".to_string(), serde_json::json!(coord_2d));
}
if let Some(coord_3d) = &raw_region.coordinate_3d {
region.properties.insert("coordinate_3d".to_string(), serde_json::json!(coord_3d));
}
if let Some(inputs) = &raw_region.inputs {
region.properties.insert("inputs".to_string(), serde_json::json!(inputs));
}
if let Some(outputs) = &raw_region.outputs {
region.properties.insert("outputs".to_string(), serde_json::json!(outputs));
}
if let Some(signature) = &raw_region.signature {
region.properties.insert("signature".to_string(), serde_json::json!(signature));
}
let parent_id = raw_region.parent_region_id.clone();
regions.push((region, parent_id));
}
Ok(regions)
}
fn parse_area_type(type_str: Option<&str>) -> BduResult<CorticalAreaType> {
match type_str {
Some("IPU") => Ok(CorticalAreaType::Sensory),
Some("OPU") => Ok(CorticalAreaType::Motor),
Some("MEMORY") => Ok(CorticalAreaType::Memory),
Some("CORE") => Ok(CorticalAreaType::Custom), Some("CUSTOM") | None => Ok(CorticalAreaType::Custom),
Some(other) => {
warn!(target: "feagi-bdu","Unknown cortical_type '{}', defaulting to Custom", other);
Ok(CorticalAreaType::Custom)
}
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_parse_minimal_genome() {
let json = r#"{
"version": "2.1",
"blueprint": {
"test01": {
"cortical_name": "Test Area",
"block_boundaries": [10, 10, 10],
"relative_coordinate": [0, 0, 0],
"cortical_type": "IPU"
}
},
"brain_regions": {
"root": {
"title": "Root",
"parent_region_id": null,
"areas": ["test01"]
}
}
}"#;
let parsed = GenomeParser::parse(json).unwrap();
assert_eq!(parsed.version, "2.1");
assert_eq!(parsed.cortical_areas.len(), 1);
assert_eq!(parsed.cortical_areas[0].cortical_id, "test01");
assert_eq!(parsed.cortical_areas[0].name, "Test Area");
assert_eq!(parsed.brain_regions.len(), 1);
}
#[test]
fn test_parse_multiple_areas() {
let json = r#"{
"version": "2.1",
"blueprint": {
"area01": {
"cortical_name": "Area 1",
"block_boundaries": [5, 5, 5],
"relative_coordinate": [0, 0, 0]
},
"area02": {
"cortical_name": "Area 2",
"block_boundaries": [10, 10, 10],
"relative_coordinate": [5, 0, 0]
}
}
}"#;
let parsed = GenomeParser::parse(json).unwrap();
assert_eq!(parsed.cortical_areas.len(), 2);
}
#[test]
fn test_parse_with_properties() {
let json = r#"{
"version": "2.1",
"blueprint": {
"mem001": {
"cortical_name": "Memory Area",
"block_boundaries": [8, 8, 8],
"relative_coordinate": [0, 0, 0],
"cortical_type": "MEMORY",
"is_mem_type": true,
"firing_threshold": 50.0,
"leak_coefficient": 0.9
}
}
}"#;
let parsed = GenomeParser::parse(json).unwrap();
assert_eq!(parsed.cortical_areas.len(), 1);
let area = &parsed.cortical_areas[0];
assert_eq!(area.cortical_type, CorticalAreaType::Memory);
assert!(area.properties.contains_key("is_mem_type"));
assert!(area.properties.contains_key("firing_threshold"));
}
#[test]
fn test_invalid_version() {
let json = r#"{
"version": "1.0",
"blueprint": {}
}"#;
let result = GenomeParser::parse(json);
assert!(result.is_err());
}
#[test]
fn test_malformed_json() {
let json = r#"{ "version": "2.1", "blueprint": { malformed"#;
let result = GenomeParser::parse(json);
assert!(result.is_err());
}
}