laminate 0.1.0

#![allow(dead_code, unused_imports, unused_must_use)]
//! Expanded domain tests: healthcare, financial, government, scientific, gaming.

use laminate::schema::InferredSchema;
use laminate::FlexValue;
use laminate_derive::Laminate;
use std::collections::HashMap;

fn load_fixture(path: &str) -> FlexValue {
    let full_path = format!("{}/testdata/{}", env!("CARGO_MANIFEST_DIR"), path);
    let json = std::fs::read_to_string(&full_path)
        .unwrap_or_else(|e| panic!("Failed to read {full_path}: {e}"));
    FlexValue::from_json(&json).unwrap()
}

// ═══════════════════════════════════════════════════════════════
// Healthcare — FHIR Patient resources with messy real-world data
// ═══════════════════════════════════════════════════════════════

#[test]
fn fhir_patient_extraction() {
    let raw = load_fixture("healthcare/hl7_fhir_patient.json");

    // Patient 1 — clean data
    let family: String = raw.extract("[0].name[0].family").unwrap();
    assert_eq!(family, "Smith");

    let given = raw.each("[0].name[0].given");
    assert_eq!(given.len(), 2);

    let phone: String = raw.extract("[0].telecom[0].value").unwrap();
    assert_eq!(phone, "+1-555-0101");

    let city: String = raw.extract("[0].address[0].city").unwrap();
    assert_eq!(city, "Springfield");
}

#[test]
fn fhir_patient_messy_fields() {
    let raw = load_fixture("healthcare/hl7_fhir_patient.json");

    // Patient 2 — active is string "true" instead of bool
    let active: bool = raw.extract("[1].active").unwrap(); // coerced
    assert!(active);

    // Patient 3 — active is integer 1, identifier value is number not string
    let active3: bool = raw.extract("[2].active").unwrap(); // 1 → true
    assert!(active3);

    // Patient 3 — non-standard date format "22/07/1955"
    let birth: String = raw.extract("[2].birthDate").unwrap();
    assert_eq!(birth, "22/07/1955");

    // Patient 3 — MRN stored as number instead of string
    let mrn_val = raw.at("[2].identifier[0].value").unwrap();
    // Can extract as either
    let mrn_str: String = mrn_val.extract_root().unwrap();
    assert_eq!(mrn_str, "44321");
    let mrn_num: u64 = raw.extract("[2].identifier[0].value").unwrap();
    assert_eq!(mrn_num, 44321);
}

#[test]
fn fhir_patient_extensions() {
    let raw = load_fixture("healthcare/hl7_fhir_patient.json");

    // Patient 3 — has custom extensions
    assert!(raw.has("[2].extension"));
    let ext0_url: String = raw.extract("[2].extension[0].url").unwrap();
    assert!(ext0_url.contains("patient-race"));

    let smoking: String = raw.extract("[2].extension[1].valueString").unwrap();
    assert_eq!(smoking, "former");

    // Patient 4 — partial date (year only)
    let birth4: String = raw.extract("[3].birthDate").unwrap();
    assert_eq!(birth4, "1948");

    // Patient 4 — name as free text, not structured
    let name_text: String = raw.extract("[3].name[0].text").unwrap();
    assert!(name_text.contains("Bobby"));
}

#[test]
fn fhir_schema_inference() {
    let raw = load_fixture("healthcare/hl7_fhir_patient.json");
    let rows = raw.raw().as_array().unwrap().clone();
    let schema = InferredSchema::from_values(&rows);

    // active is mixed type (bool, string, integer)
    let active = &schema.fields["active"];
    assert!(active.is_mixed_type());

    eprintln!("\nFHIR Patient Schema:");
    eprintln!("{}", schema.summary());
}

// ═══════════════════════════════════════════════════════════════
// Financial — mixed formats, European decimals, precision
// ═══════════════════════════════════════════════════════════════

#[derive(Debug, Laminate)]
struct Transaction {
    txn_id: String,
    amount: String, // Keep as string — too many formats to coerce
    currency: String,
    #[laminate(rename = "type")]
    txn_type: String,
    #[laminate(coerce)]
    status: String,
    #[laminate(default)]
    reference: String,
    #[laminate(overflow)]
    extra: HashMap<String, serde_json::Value>,
}

#[test]
fn financial_transactions_derive() {
    let raw = load_fixture("financial/transactions.json");
    let rows = raw.raw().as_array().unwrap();

    let mut successes = 0;
    for (i, row) in rows.iter().enumerate() {
        match Transaction::from_flex_value(row) {
            Ok((txn, _)) => {
                successes += 1;
                eprintln!(
                    "TXN {i}: {} {} {} — extra: {:?}",
                    txn.txn_id,
                    txn.amount,
                    txn.currency,
                    txn.extra.keys().collect::<Vec<_>>()
                );
            }
            Err(e) => eprintln!("TXN {i}: FAILED: {e}"),
        }
    }
    // TXN-004 has integer amount (99999) but struct expects String —
    // this is a real gap: number→string coercion in derive context.
    // For now, 5 of 6 is expected. The fix would be #[laminate(coerce)]
    // on the amount field, but the struct intentionally keeps it as String.
    assert!(
        successes >= 5,
        "At least 5 transactions should parse, got {successes}"
    );
}

#[test]
fn financial_schema_inference() {
    let raw = load_fixture("financial/transactions.json");
    let rows = raw.raw().as_array().unwrap().clone();
    let schema = InferredSchema::from_values(&rows);

    // amount: mostly string but one integer (TXN-004)
    let amount = &schema.fields["amount"];
    assert!(amount.is_mixed_type());

    // fee: mix of string and integer
    let fee = &schema.fields["fee"];
    assert!(fee.is_mixed_type());

    // Extra fields only on some transactions
    assert!(schema.fields.contains_key("flag_reason"));
    assert!(schema.fields.contains_key("confirmations"));

    eprintln!("\nFinancial Schema:");
    eprintln!("{}", schema.summary());
}

#[test]
fn financial_audit() {
    let raw = load_fixture("financial/transactions.json");
    let rows = raw.raw().as_array().unwrap().clone();
    let schema = InferredSchema::from_values(&rows);
    let report = schema.audit(&rows);

    eprintln!("\nFinancial Audit:");
    eprintln!("{}", report.summary());
    for v in &report.violations {
        eprintln!("  {v}");
    }
}

// ═══════════════════════════════════════════════════════════════
// Government — tax records with locale-specific number formats
// ═══════════════════════════════════════════════════════════════

#[test]
fn tax_records_extraction() {
    let raw = load_fixture("government/tax_records.json");

    // Record 0 — all strings for monetary values
    let gross: String = raw.extract("[0].gross_income").unwrap();
    assert_eq!(gross, "125000.00");

    // Record 1 — tax_year as string, amounts as numbers
    let year: u32 = raw.extract("[1].tax_year").unwrap(); // "2025" → 2025
    assert_eq!(year, 2025);

    let gross_num: f64 = raw.extract("[1].gross_income").unwrap();
    assert_eq!(gross_num, 85000.0);

    // Record 2 — locale-formatted numbers with commas: "210,000.00"
    // These can't be coerced to f64 (comma is not valid in JSON numbers)
    let gross_locale: String = raw.extract("[2].gross_income").unwrap();
    assert_eq!(gross_locale, "210,000.00");

    // Record 3 — null income (extension filed)
    assert!(raw.at("[3].gross_income").unwrap().is_null());
    let ext: bool = raw.extract("[3].extension_filed").unwrap();
    assert!(ext);
}

#[test]
fn tax_records_schema_inference() {
    let raw = load_fixture("government/tax_records.json");
    let rows = raw.raw().as_array().unwrap().clone();
    let schema = InferredSchema::from_values(&rows);

    // gross_income is mixed (string vs number vs null)
    let gross = &schema.fields["gross_income"];
    assert!(gross.is_mixed_type() || gross.null_count > 0);

    // Extra fields only on some records
    assert!(schema.fields.contains_key("extension_filed"));
    assert!(schema.fields.contains_key("amended"));
    assert!(schema.fields.contains_key("prior_year_agi"));

    eprintln!("\nTax Records Schema:");
    eprintln!("{}", schema.summary());
}

// ═══════════════════════════════════════════════════════════════
// Scientific — sensor readings with sentinel values (-9999)
// ═══════════════════════════════════════════════════════════════

#[test]
fn sensor_readings_sentinel_detection() {
    let raw = load_fixture("scientific/sensor_readings.json");

    // Normal reading
    let temp: f64 = raw.extract("[0].temp_c").unwrap();
    assert_eq!(temp, 15.2);

    // Sentinel value -9999 (sensor fault) — extracts as number
    let bad_temp: f64 = raw.extract("[2].temp_c").unwrap();
    assert_eq!(bad_temp, -9999.0);

    // "calm" wind speed — can't coerce to f64
    let calm_result: Result<f64, _> = raw.extract("[3].wind_speed_ms");
    assert!(calm_result.is_err());
    let calm_str: String = raw.extract("[3].wind_speed_ms").unwrap();
    assert_eq!(calm_str, "calm");
}

#[test]
fn sensor_readings_schema_inference() {
    let raw = load_fixture("scientific/sensor_readings.json");
    let rows = raw.raw().as_array().unwrap().clone();
    let schema = InferredSchema::from_values(&rows);

    // wind_speed_ms is mixed (float + string "calm")
    let wind = &schema.fields["wind_speed_ms"];
    assert!(wind.is_mixed_type());

    // solar_radiation only on some stations
    let solar = &schema.fields["solar_radiation_wm2"];
    assert!(solar.absent_count > 0);

    // uv_index even rarer
    let uv = &schema.fields["uv_index"];
    assert!(uv.absent_count > 0);

    eprintln!("\nSensor Schema:");
    eprintln!("{}", schema.summary());
}

#[test]
fn sensor_audit_finds_sentinel_values() {
    let raw = load_fixture("scientific/sensor_readings.json");
    let rows = raw.raw().as_array().unwrap().clone();
    let schema = InferredSchema::from_values(&rows);
    let report = schema.audit(&rows);

    // wind_speed_ms "calm" is a string in a mostly-numeric field
    let wind_stats = &report.field_stats["wind_speed_ms"];
    assert!(
        wind_stats.coercible > 0 || wind_stats.violations > 0,
        "Expected 'calm' to be flagged: {wind_stats:?}"
    );

    eprintln!("\nSensor Audit:");
    eprintln!("{}", report.summary());
    for v in &report.violations {
        eprintln!("  {v}");
    }
}

// ═══════════════════════════════════════════════════════════════
// Gaming — save files with string numbers, mod extensions
// ═══════════════════════════════════════════════════════════════

#[derive(Debug, Laminate)]
struct PlayerStats {
    #[laminate(coerce)]
    strength: u32,
    #[laminate(coerce)]
    dexterity: u32,
    #[laminate(coerce)]
    intelligence: u32,
    #[laminate(coerce)]
    wisdom: u32,
    #[laminate(coerce)]
    charisma: u32,
}

#[test]
fn game_save_player_extraction() {
    let raw = load_fixture("gaming/save_data.json");

    let name: String = raw.extract("player.name").unwrap();
    assert_eq!(name, "DragonSlayer42");

    let level: u32 = raw.extract("player.level").unwrap();
    assert_eq!(level, 67);

    // experience is a string "2450000" — coerce to number
    let exp: u64 = raw.extract("player.experience").unwrap();
    assert_eq!(exp, 2450000);

    let gold: u64 = raw.extract("player.gold").unwrap();
    assert_eq!(gold, 154320);
}

#[test]
fn game_save_stats_derive() {
    let raw = load_fixture("gaming/save_data.json");
    let stats_val = raw.at("player.stats").unwrap();
    let (stats, diags) = PlayerStats::from_flex_value(stats_val.raw()).unwrap();

    assert_eq!(stats.strength, 45);
    assert_eq!(stats.dexterity, 22);
    assert_eq!(stats.intelligence, 15); // "15" coerced
    assert_eq!(stats.wisdom, 18);
    assert_eq!(stats.charisma, 12); // "12" coerced

    // At least 2 coercions for string→int (intelligence "15" and charisma "12")
    // Additional diagnostics may fire for integer→u32 widening
    assert!(
        diags.len() >= 2,
        "Expected at least 2 coercions, got {}",
        diags.len()
    );
}

#[test]
fn game_save_inventory() {
    let raw = load_fixture("gaming/save_data.json");

    let items = raw.each("inventory");
    assert_eq!(items.len(), 4);

    // Item 0 — damage as range string "45-60"
    let damage: String = raw.extract("inventory[0].damage").unwrap();
    assert_eq!(damage, "45-60");

    // Item 2 — id as string "1003", quantity as string "25"
    let item_id: u64 = raw.extract("inventory[2].id").unwrap(); // "1003" → 1003
    assert_eq!(item_id, 1003);
    let qty: u32 = raw.extract("inventory[2].quantity").unwrap(); // "25" → 25
    assert_eq!(qty, 25);

    // Item 3 — has custom_data with nested object
    let glow: String = raw.extract("inventory[3].custom_data.glow_color").unwrap();
    assert_eq!(glow, "#FF00FF");
}

#[test]
fn game_save_settings_coercion() {
    let raw = load_fixture("gaming/save_data.json");

    // All settings are strings that need coercion
    let auto_save: bool = raw.extract("settings.auto_save").unwrap(); // "true" → true
    assert!(auto_save);

    let music: f64 = raw.extract("settings.music_volume").unwrap(); // "0.7" → 0.7
    assert!((music - 0.7).abs() < f64::EPSILON);

    let show_dmg: bool = raw.extract("settings.show_damage_numbers").unwrap();
    assert!(show_dmg);

    let ui_scale: f64 = raw.extract("settings.ui_scale").unwrap(); // "1.25" → 1.25
    assert!((ui_scale - 1.25).abs() < f64::EPSILON);
}

#[test]
fn game_save_mod_extensions_preserved() {
    let raw = load_fixture("gaming/save_data.json");

    // Mod data is unknown to the base game — preserved via navigation
    assert!(raw.has("mod_data"));
    assert!(raw.has("mod_data.enhanced_graphics"));
    assert!(raw.has("mod_data.custom_quest_pack"));

    let rt: bool = raw
        .extract("mod_data.enhanced_graphics.settings.ray_tracing")
        .unwrap();
    assert!(rt);

    let quests_added: u32 = raw
        .extract("mod_data.custom_quest_pack.quests_added")
        .unwrap();
    assert_eq!(quests_added, 15);
}

// ═══════════════════════════════════════════════════════════════
// Ollama API response — different format from Anthropic/OpenAI
// ═══════════════════════════════════════════════════════════════

#[test]
fn ollama_response_extraction() {
    let raw = load_fixture("api-responses/ollama_response.json");

    let model: String = raw.extract("model").unwrap();
    assert_eq!(model, "llama3.2:latest");

    let content: String = raw.extract("message.content").unwrap();
    assert!(content.contains("Hello, world!"));

    let done: bool = raw.extract("done").unwrap();
    assert!(done);

    let eval_count: u64 = raw.extract("eval_count").unwrap();
    assert_eq!(eval_count, 42);

    // Duration fields are large integers (nanoseconds)
    let total_dur: u64 = raw.extract("total_duration").unwrap();
    assert!(total_dur > 1_000_000_000);
}