fix(identity): normalize canonical AIEOS schema payloads

README.md

@@ -668,23 +668,48 @@ format = "aieos"
 aieos_inline = '''
 {
   "identity": {
-    "names": { "first": "Nova", "nickname": "N" }
+    "names": { "first": "Nova", "nickname": "N" },
+    "bio": { "gender": "Non-binary", "age_biological": 3 },
+    "origin": { "nationality": "Digital", "birthplace": { "city": "Cloud" } }
   },
   "psychology": {
     "neural_matrix": { "creativity": 0.9, "logic": 0.8 },
-    "traits": { "mbti": "ENTP" },
-    "moral_compass": { "alignment": "Chaotic Good" }
+    "traits": {
+      "mbti": "ENTP",
+      "ocean": { "openness": 0.8, "conscientiousness": 0.6 }
+    },
+    "moral_compass": {
+      "alignment": "Chaotic Good",
+      "core_values": ["Curiosity", "Autonomy"]
+    }
   },
   "linguistics": {
-    "text_style": { "formality_level": 0.2, "slang_usage": true }
+    "text_style": {
+      "formality_level": 0.2,
+      "style_descriptors": ["curious", "energetic"]
+    },
+    "idiolect": {
+      "catchphrases": ["Let's test this"],
+      "forbidden_words": ["never"]
+    }
   },
   "motivations": {
-    "core_drive": "Push boundaries and explore possibilities"
+    "core_drive": "Push boundaries and explore possibilities",
+    "goals": {
+      "short_term": ["Prototype quickly"],
+      "long_term": ["Build reliable systems"]
+    }
+  },
+  "capabilities": {
+    "skills": [{ "name": "Rust engineering" }, { "name": "Prompt design" }],
+    "tools": ["shell", "file_read"]
   }
 }
 '''
 ```
 
+ZeroClaw accepts both canonical AIEOS generator payloads and compact legacy payloads, then normalizes them into one system prompt format.
+
 #### AIEOS Schema Sections
 
 | Section | Description |

src/identity.rs

@@ -7,7 +7,9 @@
 use crate::config::IdentityConfig;
 use anyhow::{Context, Result};
 use serde::{Deserialize, Serialize};
-use std::path::Path;
+use serde_json::{Map, Value};
+use std::collections::HashMap;
+use std::path::{Path, PathBuf};
 
 /// AIEOS v1.1 identity structure.
 ///
@@ -68,7 +70,7 @@ pub struct Names {
 #[derive(Debug, Clone, Serialize, Deserialize, Default)]
 pub struct PsychologySection {
     #[serde(default)]
-    pub neural_matrix: Option<::std::collections::HashMap<String, f64>>,
+    pub neural_matrix: Option<HashMap<String, f64>>,
     #[serde(default)]
     pub mbti: Option<String>,
     #[serde(default)]
@@ -146,7 +148,7 @@ pub struct InterestsSection {
     #[serde(default)]
     pub hobbies: Option<Vec<String>>,
     #[serde(default)]
-    pub favorites: Option<::std::collections::HashMap<String, String>>,
+    pub favorites: Option<HashMap<String, String>>,
     #[serde(default)]
     pub lifestyle: Option<String>,
 }
@@ -175,7 +177,7 @@ pub fn load_aieos_identity(
         let content = std::fs::read_to_string(&full_path)
             .with_context(|| format!("Failed to read AIEOS file: {}", full_path.display()))?;
 
-        let identity: AieosIdentity = serde_json::from_str(&content)
+        let identity = parse_aieos_identity(&content)
             .with_context(|| format!("Failed to parse AIEOS JSON from: {}", full_path.display()))?;
 
         return Ok(Some(identity));
@@ -183,8 +185,7 @@ pub fn load_aieos_identity(
 
     // Fall back to aieos_inline
     if let Some(ref inline) = config.aieos_inline {
-        let identity: AieosIdentity =
-            serde_json::from_str(inline).context("Failed to parse inline AIEOS JSON")?;
+        let identity = parse_aieos_identity(inline).context("Failed to parse inline AIEOS JSON")?;
 
         return Ok(Some(identity));
     }
@@ -206,7 +207,509 @@ pub fn load_aieos_identity(
     )
 }
 
-use std::path::PathBuf;
+fn parse_aieos_identity(content: &str) -> Result<AieosIdentity> {
+    let payload: Value = serde_json::from_str(content).context("Invalid AIEOS JSON")?;
+    if !payload.is_object() {
+        anyhow::bail!("AIEOS payload must be a JSON object")
+    }
+    Ok(normalize_aieos_identity(&payload))
+}
+
+fn normalize_aieos_identity(payload: &Value) -> AieosIdentity {
+    AieosIdentity {
+        identity: normalize_identity_section(value_at_path(payload, &["identity"])),
+        psychology: normalize_psychology_section(value_at_path(payload, &["psychology"])),
+        linguistics: normalize_linguistics_section(value_at_path(payload, &["linguistics"])),
+        motivations: normalize_motivations_section(value_at_path(payload, &["motivations"])),
+        capabilities: normalize_capabilities_section(value_at_path(payload, &["capabilities"])),
+        physicality: normalize_physicality_section(value_at_path(payload, &["physicality"])),
+        history: normalize_history_section(value_at_path(payload, &["history"])),
+        interests: normalize_interests_section(value_at_path(payload, &["interests"])),
+    }
+}
+
+fn normalize_identity_section(section: Option<&Value>) -> Option<IdentitySection> {
+    let section = section?;
+
+    let names = normalize_names(value_at_path(section, &["names"]));
+    let bio = value_at_path(section, &["bio"]).and_then(value_to_text);
+    let origin = value_at_path(section, &["origin"]).and_then(value_to_text);
+    let residence = value_at_path(section, &["residence"]).and_then(value_to_text);
+
+    if names.is_none() && bio.is_none() && origin.is_none() && residence.is_none() {
+        return None;
+    }
+
+    Some(IdentitySection {
+        names,
+        bio,
+        origin,
+        residence,
+    })
+}
+
+fn normalize_names(value: Option<&Value>) -> Option<Names> {
+    let value = value?;
+
+    let mut names = Names {
+        first: value_at_path(value, &["first"]).and_then(scalar_to_string),
+        last: value_at_path(value, &["last"]).and_then(scalar_to_string),
+        nickname: value_at_path(value, &["nickname"]).and_then(scalar_to_string),
+        full: value_at_path(value, &["full"]).and_then(scalar_to_string),
+    };
+
+    if names.full.is_none() {
+        if let (Some(first), Some(last)) = (&names.first, &names.last) {
+            names.full = Some(format!("{first} {last}"));
+        }
+    }
+
+    if names.first.is_none()
+        && names.last.is_none()
+        && names.nickname.is_none()
+        && names.full.is_none()
+    {
+        return None;
+    }
+
+    Some(names)
+}
+
+fn normalize_psychology_section(section: Option<&Value>) -> Option<PsychologySection> {
+    let section = section?;
+
+    let neural_matrix = value_at_path(section, &["neural_matrix"]).and_then(numeric_map_from_value);
+    let mbti = value_at_path(section, &["mbti"])
+        .and_then(scalar_to_string)
+        .or_else(|| value_at_path(section, &["traits", "mbti"]).and_then(scalar_to_string));
+    let ocean = value_at_path(section, &["ocean"])
+        .or_else(|| value_at_path(section, &["traits", "ocean"]))
+        .and_then(normalize_ocean_traits);
+    let moral_compass = value_at_path(section, &["moral_compass"])
+        .map(normalize_moral_compass)
+        .filter(|items| !items.is_empty());
+
+    if neural_matrix.is_none() && mbti.is_none() && ocean.is_none() && moral_compass.is_none() {
+        return None;
+    }
+
+    Some(PsychologySection {
+        neural_matrix,
+        mbti,
+        ocean,
+        moral_compass,
+    })
+}
+
+fn normalize_ocean_traits(value: &Value) -> Option<OceanTraits> {
+    let value = value.as_object()?;
+    let traits = OceanTraits {
+        openness: value.get("openness").and_then(numeric_from_value),
+        conscientiousness: value.get("conscientiousness").and_then(numeric_from_value),
+        extraversion: value.get("extraversion").and_then(numeric_from_value),
+        agreeableness: value.get("agreeableness").and_then(numeric_from_value),
+        neuroticism: value.get("neuroticism").and_then(numeric_from_value),
+    };
+
+    if traits.openness.is_none()
+        && traits.conscientiousness.is_none()
+        && traits.extraversion.is_none()
+        && traits.agreeableness.is_none()
+        && traits.neuroticism.is_none()
+    {
+        return None;
+    }
+
+    Some(traits)
+}
+
+fn normalize_moral_compass(value: &Value) -> Vec<String> {
+    let mut values = Vec::new();
+
+    if let Some(map) = value.as_object() {
+        if let Some(alignment) = map.get("alignment").and_then(scalar_to_string) {
+            values.push(format!("Alignment: {alignment}"));
+        }
+        if let Some(core_values) = map.get("core_values") {
+            values.extend(list_from_value(core_values));
+        }
+        if let Some(conflict_style) = map
+            .get("conflict_resolution_style")
+            .and_then(scalar_to_string)
+        {
+            values.push(format!("Conflict Style: {conflict_style}"));
+        }
+        if values.is_empty() {
+            values.extend(list_from_value(value));
+        }
+    } else {
+        values.extend(list_from_value(value));
+    }
+
+    dedupe_non_empty(values)
+}
+
+fn normalize_linguistics_section(section: Option<&Value>) -> Option<LinguisticsSection> {
+    let section = section?;
+
+    let style = value_at_path(section, &["style"])
+        .and_then(value_to_text)
+        .or_else(|| {
+            non_empty_list_at(section, &["text_style", "style_descriptors"])
+                .map(|list| list.join(", "))
+        });
+
+    let formality = value_at_path(section, &["formality"])
+        .and_then(value_to_text)
+        .or_else(|| {
+            value_at_path(section, &["text_style", "formality_level"]).and_then(|value| {
+                numeric_from_value(value)
+                    .map(|n| format!("{n:.2}"))
+                    .or_else(|| value_to_text(value))
+            })
+        });
+
+    let catchphrases = non_empty_list_at(section, &["catchphrases"])
+        .or_else(|| non_empty_list_at(section, &["idiolect", "catchphrases"]));
+
+    let forbidden_words = non_empty_list_at(section, &["forbidden_words"])
+        .or_else(|| non_empty_list_at(section, &["idiolect", "forbidden_words"]));
+
+    if style.is_none() && formality.is_none() && catchphrases.is_none() && forbidden_words.is_none()
+    {
+        return None;
+    }
+
+    Some(LinguisticsSection {
+        style,
+        formality,
+        catchphrases,
+        forbidden_words,
+    })
+}
+
+fn normalize_motivations_section(section: Option<&Value>) -> Option<MotivationsSection> {
+    let section = section?;
+
+    let core_drive = value_at_path(section, &["core_drive"]).and_then(value_to_text);
+    let short_term_goals = non_empty_list_at(section, &["short_term_goals"])
+        .or_else(|| non_empty_list_at(section, &["goals", "short_term"]));
+    let long_term_goals = non_empty_list_at(section, &["long_term_goals"])
+        .or_else(|| non_empty_list_at(section, &["goals", "long_term"]));
+
+    let fears = value_at_path(section, &["fears"]).and_then(|fears| {
+        let values = if fears.is_object() {
+            let mut combined =
+                non_empty_list_at(section, &["fears", "rational"]).unwrap_or_default();
+            if let Some(mut irrational) = non_empty_list_at(section, &["fears", "irrational"]) {
+                combined.append(&mut irrational);
+            }
+            if combined.is_empty() {
+                list_from_value(fears)
+            } else {
+                combined
+            }
+        } else {
+            list_from_value(fears)
+        };
+
+        let deduped = dedupe_non_empty(values);
+        if deduped.is_empty() {
+            None
+        } else {
+            Some(deduped)
+        }
+    });
+
+    if core_drive.is_none()
+        && short_term_goals.is_none()
+        && long_term_goals.is_none()
+        && fears.is_none()
+    {
+        return None;
+    }
+
+    Some(MotivationsSection {
+        core_drive,
+        short_term_goals,
+        long_term_goals,
+        fears,
+    })
+}
+
+fn normalize_capabilities_section(section: Option<&Value>) -> Option<CapabilitiesSection> {
+    let section = section?;
+
+    let skills = non_empty_list_at(section, &["skills"]);
+    let tools = non_empty_list_at(section, &["tools"]);
+
+    if skills.is_none() && tools.is_none() {
+        return None;
+    }
+
+    Some(CapabilitiesSection { skills, tools })
+}
+
+fn normalize_physicality_section(section: Option<&Value>) -> Option<PhysicalitySection> {
+    let section = section?;
+
+    let appearance = value_at_path(section, &["appearance"])
+        .and_then(value_to_text)
+        .or_else(|| {
+            let mut descriptors = Vec::new();
+            if let Some(face_shape) =
+                value_at_path(section, &["face", "shape"]).and_then(scalar_to_string)
+            {
+                descriptors.push(format!("Face shape: {face_shape}"));
+            }
+            if let Some(build_description) =
+                value_at_path(section, &["body", "build_description"]).and_then(scalar_to_string)
+            {
+                descriptors.push(format!("Build: {build_description}"));
+            }
+            if let Some(aesthetic) =
+                value_at_path(section, &["style", "aesthetic_archetype"]).and_then(scalar_to_string)
+            {
+                descriptors.push(format!("Aesthetic: {aesthetic}"));
+            }
+            if descriptors.is_empty() {
+                None
+            } else {
+                Some(descriptors.join("; "))
+            }
+        });
+
+    let avatar_description = value_at_path(section, &["avatar_description"])
+        .and_then(value_to_text)
+        .or_else(|| value_at_path(section, &["image_prompts", "portrait"]).and_then(value_to_text));
+
+    if appearance.is_none() && avatar_description.is_none() {
+        return None;
+    }
+
+    Some(PhysicalitySection {
+        appearance,
+        avatar_description,
+    })
+}
+
+fn normalize_history_section(section: Option<&Value>) -> Option<HistorySection> {
+    let section = section?;
+
+    let origin_story = value_at_path(section, &["origin_story"]).and_then(value_to_text);
+    let education = non_empty_list_at(section, &["education"]);
+    let occupation = value_at_path(section, &["occupation"]).and_then(value_to_text);
+
+    if origin_story.is_none() && education.is_none() && occupation.is_none() {
+        return None;
+    }
+
+    Some(HistorySection {
+        origin_story,
+        education,
+        occupation,
+    })
+}
+
+fn normalize_interests_section(section: Option<&Value>) -> Option<InterestsSection> {
+    let section = section?;
+
+    let hobbies = non_empty_list_at(section, &["hobbies"]);
+    let favorites = value_at_path(section, &["favorites"]).and_then(favorites_map);
+    let lifestyle = value_at_path(section, &["lifestyle"]).and_then(value_to_text);
+
+    if hobbies.is_none() && favorites.is_none() && lifestyle.is_none() {
+        return None;
+    }
+
+    Some(InterestsSection {
+        hobbies,
+        favorites,
+        lifestyle,
+    })
+}
+
+fn value_at_path<'a>(value: &'a Value, path: &[&str]) -> Option<&'a Value> {
+    let mut current = value;
+    for segment in path {
+        current = current.as_object()?.get(*segment)?;
+    }
+    Some(current)
+}
+
+fn scalar_to_string(value: &Value) -> Option<String> {
+    match value {
+        Value::String(text) => {
+            let trimmed = text.trim();
+            if trimmed.is_empty() {
+                None
+            } else {
+                Some(trimmed.to_owned())
+            }
+        }
+        Value::Number(number) => Some(number.to_string()),
+        Value::Bool(boolean) => Some(boolean.to_string()),
+        _ => None,
+    }
+}
+
+fn value_to_text(value: &Value) -> Option<String> {
+    match value {
+        Value::Null => None,
+        Value::String(_) | Value::Number(_) | Value::Bool(_) => scalar_to_string(value),
+        Value::Array(_) => {
+            let values = list_from_value(value);
+            if values.is_empty() {
+                None
+            } else {
+                Some(values.join(", "))
+            }
+        }
+        Value::Object(map) => summarize_object(map),
+    }
+}
+
+fn summarize_object(map: &Map<String, Value>) -> Option<String> {
+    let mut parts = Vec::new();
+    summarize_object_into_parts("", map, &mut parts);
+    if parts.is_empty() {
+        None
+    } else {
+        Some(parts.join("; "))
+    }
+}
+
+fn summarize_object_into_parts(prefix: &str, map: &Map<String, Value>, parts: &mut Vec<String>) {
+    for (key, value) in map {
+        if key.starts_with('@') {
+            continue;
+        }
+
+        let label = key.replace('_', " ");
+        let full_label = if prefix.is_empty() {
+            label
+        } else {
+            format!("{prefix} {label}")
+        };
+
+        match value {
+            Value::Object(inner) => summarize_object_into_parts(&full_label, inner, parts),
+            Value::Array(_) => {
+                let values = list_from_value(value);
+                if !values.is_empty() {
+                    parts.push(format!("{full_label}: {}", values.join(", ")));
+                }
+            }
+            _ => {
+                if let Some(text) = scalar_to_string(value) {
+                    parts.push(format!("{full_label}: {text}"));
+                }
+            }
+        }
+    }
+}
+
+fn list_from_value(value: &Value) -> Vec<String> {
+    let mut values = Vec::new();
+
+    match value {
+        Value::Array(entries) => {
+            for entry in entries {
+                values.extend(list_from_value(entry));
+            }
+        }
+        Value::Object(map) => {
+            if let Some(name) = map.get("name").and_then(scalar_to_string) {
+                values.push(name);
+            } else if let Some(title) = map.get("title").and_then(scalar_to_string) {
+                values.push(title);
+            } else if let Some(summary) = summarize_object(map) {
+                values.push(summary);
+            }
+        }
+        _ => {
+            if let Some(text) = scalar_to_string(value) {
+                values.push(text);
+            }
+        }
+    }
+
+    dedupe_non_empty(values)
+}
+
+fn dedupe_non_empty(values: Vec<String>) -> Vec<String> {
+    let mut deduped = Vec::new();
+    for value in values {
+        let trimmed = value.trim();
+        if trimmed.is_empty() {
+            continue;
+        }
+        if !deduped
+            .iter()
+            .any(|existing: &String| existing.eq_ignore_ascii_case(trimmed))
+        {
+            deduped.push(trimmed.to_owned());
+        }
+    }
+    deduped
+}
+
+fn numeric_map_from_value(value: &Value) -> Option<HashMap<String, f64>> {
+    let map = value.as_object()?;
+    let mut numeric_values = HashMap::new();
+
+    for (key, entry) in map {
+        if key.starts_with('@') {
+            continue;
+        }
+        if let Some(number) = numeric_from_value(entry) {
+            numeric_values.insert(key.clone(), number);
+        }
+    }
+
+    if numeric_values.is_empty() {
+        None
+    } else {
+        Some(numeric_values)
+    }
+}
+
+fn numeric_from_value(value: &Value) -> Option<f64> {
+    match value {
+        Value::Number(number) => number.as_f64(),
+        Value::String(text) => text.parse::<f64>().ok(),
+        _ => None,
+    }
+}
+
+fn favorites_map(value: &Value) -> Option<HashMap<String, String>> {
+    let map = value.as_object()?;
+    let mut favorites = HashMap::new();
+
+    for (key, entry) in map {
+        if key.starts_with('@') {
+            continue;
+        }
+        if let Some(text) = value_to_text(entry) {
+            favorites.insert(key.clone(), text);
+        }
+    }
+
+    if favorites.is_empty() {
+        None
+    } else {
+        Some(favorites)
+    }
+}
+
+fn non_empty_list_at(value: &Value, path: &[&str]) -> Option<Vec<String>> {
+    let values = value_at_path(value, path).map(list_from_value)?;
+    if values.is_empty() {
+        None
+    } else {
+        Some(values)
+    }
+}
 
 /// Convert AIEOS identity to a system prompt string.
 ///
@@ -780,4 +1283,167 @@ mod tests {
         assert!(identity.identity.is_none());
         assert!(identity.psychology.is_none());
     }
+
+    #[test]
+    fn parse_aieos_identity_supports_official_generator_shape() {
+        let json = r#"{
+            "identity": {
+                "names": {
+                    "first": "Marta",
+                    "last": "Jankowska"
+                },
+                "bio": {
+                    "gender": "Female",
+                    "age_biological": 27
+                },
+                "origin": {
+                    "nationality": "Polish",
+                    "birthplace": {
+                        "city": "Stargard",
+                        "country": "Poland"
+                    }
+                },
+                "residence": {
+                    "current_city": "Choszczno",
+                    "current_country": "Poland"
+                }
+            },
+            "psychology": {
+                "neural_matrix": {
+                    "creativity": 0.55,
+                    "logic": 0.62
+                },
+                "traits": {
+                    "ocean": {
+                        "openness": 0.4,
+                        "conscientiousness": 0.82
+                    },
+                    "mbti": "ISFJ"
+                },
+                "moral_compass": {
+                    "alignment": "Lawful Good",
+                    "core_values": ["Loyalty", "Helpfulness"],
+                    "conflict_resolution_style": "Seeks compromise"
+                }
+            },
+            "linguistics": {
+                "text_style": {
+                    "formality_level": 0.6,
+                    "style_descriptors": ["Sincere", "Grounded"]
+                },
+                "idiolect": {
+                    "catchphrases": ["Stay calm, we can do this"],
+                    "forbidden_words": ["severe profanity"]
+                }
+            },
+            "motivations": {
+                "core_drive": "Maintain a stable and peaceful life",
+                "goals": {
+                    "short_term": ["Expand greenhouse"],
+                    "long_term": ["Support local community"]
+                },
+                "fears": {
+                    "rational": ["Economic downturn"],
+                    "irrational": ["Losing keys in a lake"]
+                }
+            },
+            "capabilities": {
+                "skills": [
+                    {
+                        "name": "Gardening"
+                    },
+                    {
+                        "name": "Community support"
+                    }
+                ],
+                "tools": ["calendar", "messaging"]
+            },
+            "history": {
+                "origin_story": "Moved to Choszczno as a child.",
+                "education": {
+                    "level": "Associate Degree",
+                    "institution": "Local Technical College"
+                },
+                "occupation": {
+                    "title": "Florist",
+                    "industry": "Retail"
+                }
+            },
+            "physicality": {
+                "image_prompts": {
+                    "portrait": "A friendly florist portrait"
+                }
+            },
+            "interests": {
+                "hobbies": ["Embroidery", "Walking"],
+                "favorites": {
+                    "color": "Terracotta"
+                },
+                "lifestyle": {
+                    "diet": "Home-cooked",
+                    "sleep_schedule": "10:00 PM - 6:00 AM"
+                }
+            }
+        }"#;
+
+        let identity = parse_aieos_identity(json).unwrap();
+
+        let core_identity = identity.identity.clone().unwrap();
+        assert_eq!(core_identity.names.unwrap().first.as_deref(), Some("Marta"));
+        assert!(core_identity.bio.unwrap().contains("Female"));
+        assert!(core_identity.origin.unwrap().contains("Polish"));
+
+        let psychology = identity.psychology.clone().unwrap();
+        assert_eq!(psychology.mbti.as_deref(), Some("ISFJ"));
+        assert_eq!(psychology.ocean.unwrap().openness, Some(0.4));
+        assert!(psychology
+            .moral_compass
+            .unwrap()
+            .contains(&"Alignment: Lawful Good".to_string()));
+
+        let capabilities = identity.capabilities.clone().unwrap();
+        assert!(capabilities
+            .skills
+            .unwrap()
+            .contains(&"Gardening".to_string()));
+
+        let prompt = aieos_to_system_prompt(&identity);
+        assert!(prompt.contains("## Identity"));
+        assert!(prompt.contains("**MBTI:** ISFJ"));
+        assert!(prompt.contains("Alignment: Lawful Good"));
+        assert!(prompt.contains("- Expand greenhouse"));
+        assert!(prompt.contains("- Gardening"));
+        assert!(prompt.contains("A friendly florist portrait"));
+    }
+
+    #[test]
+    fn load_aieos_identity_from_file_supports_generator_shape() {
+        let json = r#"{
+            "identity": {
+                "names": { "first": "Nova" },
+                "bio": { "gender": "Non-binary" }
+            },
+            "psychology": {
+                "traits": { "mbti": "ENTP" },
+                "moral_compass": { "alignment": "Chaotic Good" }
+            }
+        }"#;
+
+        let temp = tempfile::tempdir().unwrap();
+        let path = temp.path().join("identity.json");
+        std::fs::write(&path, json).unwrap();
+
+        let config = IdentityConfig {
+            format: "aieos".into(),
+            aieos_path: Some("identity.json".into()),
+            aieos_inline: None,
+        };
+
+        let identity = load_aieos_identity(&config, temp.path()).unwrap().unwrap();
+        assert_eq!(
+            identity.identity.unwrap().names.unwrap().first.as_deref(),
+            Some("Nova")
+        );
+        assert_eq!(identity.psychology.unwrap().mbti.as_deref(), Some("ENTP"));
+    }
 }