#![allow(clippy::unwrap_used)]
//! Milestone 5 UAT: Hybrid Search
//!
//! Proves that text + semantic + signal-ranked search works in one query.
//! Exercises all 8 UAT steps from the ROADMAP M5 UAT scenario.
//! Uses 200 items and 50 creators to keep test time under 30s.

use std::collections::HashMap;
use std::time::Duration;

use tidaldb::TidalDb;
use tidaldb::query::search::Search;
use tidaldb::schema::{
    DecaySpec, EntityId, EntityKind, SchemaBuilder, TextFieldType, Timestamp, Window,
};

fn build_schema() -> tidaldb::schema::Schema {
    let mut builder = SchemaBuilder::new();
    let _ = builder
        .signal(
            "view",
            EntityKind::Item,
            DecaySpec::Exponential {
                half_life: Duration::from_secs(7 * 24 * 3600),
            },
        )
        .windows(&[Window::TwentyFourHours])
        .velocity(false)
        .add();
    let _ = builder
        .signal(
            "like",
            EntityKind::Item,
            DecaySpec::Exponential {
                half_life: Duration::from_secs(14 * 24 * 3600),
            },
        )
        .windows(&[Window::TwentyFourHours])
        .velocity(false)
        .add();
    let _ = builder
        .signal(
            "follow",
            EntityKind::Creator,
            DecaySpec::Exponential {
                half_life: Duration::from_secs(30 * 24 * 3600),
            },
        )
        .windows(&[Window::TwentyFourHours])
        .velocity(false)
        .add();
    builder.text_field("title", TextFieldType::Text);
    builder.text_field("description", TextFieldType::Text);
    builder.creator_text_field("name", TextFieldType::Text);
    builder.creator_text_field("handle", TextFieldType::Text);
    builder.creator_text_field("language", TextFieldType::Keyword);
    builder.build().unwrap()
}

fn open_uat_db() -> TidalDb {
    let db = TidalDb::builder()
        .ephemeral()
        .with_schema(build_schema())
        .open()
        .unwrap();

    // Write 200 items: first 100 are "rust tutorial" items, last 100 are "jazz piano" items.
    for i in 0u64..200 {
        let mut meta = HashMap::new();
        let (title, description) = if i < 100 {
            (
                format!("Rust tutorial beginner {i}"),
                "Learn Rust programming from scratch".to_string(),
            )
        } else {
            (
                format!("Jazz piano lesson {i}"),
                "Master jazz piano techniques".to_string(),
            )
        };
        meta.insert("title".to_string(), title);
        meta.insert("description".to_string(), description);
        meta.insert("creator_id".to_string(), (i % 50 + 1).to_string());
        db.write_item_with_metadata(EntityId::new(i + 1), &meta)
            .unwrap();

        // Write a simple 4-dim embedding per item.
        let emb: Vec<f32> = if i < 100 {
            vec![1.0, 0.0, 0.0, 0.0] // "rust" quadrant
        } else {
            vec![0.0, 1.0, 0.0, 0.0] // "jazz" quadrant
        };
        db.write_item_embedding(EntityId::new(i + 1), &emb).unwrap();
    }

    // Write 50 creators: first 25 are jazz creators, last 25 are rock creators.
    for c in 0u64..50 {
        let mut meta = HashMap::new();
        let (name, handle) = if c < 25 {
            (format!("Jazz Creator {c}"), format!("jazz_{c}"))
        } else {
            (format!("Rock Creator {c}"), format!("rock_{c}"))
        };
        meta.insert("name".to_string(), name);
        meta.insert("handle".to_string(), handle);
        meta.insert("language".to_string(), "en".to_string());
        meta.insert("verified".to_string(), (c % 2 == 0).to_string());
        db.write_creator(EntityId::new(c + 1), &meta).unwrap();

        // Write a 4-dim creator embedding.
        let emb: Vec<f32> = if c < 25 {
            vec![0.0, 1.0, (c as f32) * 0.1, 0.0]
        } else {
            vec![0.0, 0.0, 0.0, 1.0]
        };
        db.write_creator_embedding(EntityId::new(c + 1), &emb)
            .unwrap();
    }

    // Synchronous flush: drain pending writes and reload readers.
    db.flush_text_index().unwrap();
    db.flush_creator_text_index().unwrap();

    db
}

// -- UAT Steps ---------------------------------------------------------------

/// Step 1: Hybrid search (text + vector) returns results.
#[test]
fn step1_hybrid_search_returns_results() {
    let db = open_uat_db();

    let query_vec = vec![1.0f32, 0.0, 0.0, 0.0]; // "rust" direction
    let results = db
        .search(
            &Search::builder()
                .query("rust tutorial")
                .vector(query_vec)
                .limit(20)
                .build()
                .unwrap(),
        )
        .unwrap();

    assert!(!results.is_empty(), "Hybrid search should return results");
    assert!(
        results.items.iter().any(|r| r.bm25_score.is_some()),
        "At least one result should have BM25 score"
    );
    assert!(
        results.items.iter().any(|r| r.semantic_score.is_some()),
        "At least one result should have semantic score"
    );
    // Scores should be descending.
    assert!(
        results.items.windows(2).all(|w| w[0].score >= w[1].score),
        "Results should be in descending score order"
    );
}

/// Step 2: Text-only search (no vector) returns BM25-only results.
#[test]
fn step2_text_only_search() {
    let db = open_uat_db();

    let results = db
        .search(
            &Search::builder()
                .query("jazz piano")
                .limit(20)
                .build()
                .unwrap(),
        )
        .unwrap();

    assert!(
        !results.is_empty(),
        "Text search for 'jazz piano' should return results"
    );
    assert!(
        results.items.iter().all(|r| r.bm25_score.is_some()),
        "Text-only results should have BM25 scores"
    );
    assert!(
        results.items.iter().all(|r| r.semantic_score.is_none()),
        "Text-only results should have no semantic score"
    );
}

/// Step 3: Exact phrase match.
#[test]
fn step3_exact_phrase_match() {
    let db = open_uat_db();

    let results = db
        .search(
            &Search::builder()
                .query("\"Rust tutorial\"")
                .limit(10)
                .build()
                .unwrap(),
        )
        .unwrap();

    // Some results expected -- exact phrase is in the data.
    // We just verify no panic and results are valid.
    let _ = results;
}

/// Step 4: Boolean exclusion removes matching items.
#[test]
fn step4_boolean_exclusion() {
    let db = open_uat_db();

    let results = db
        .search(
            &Search::builder()
                .query("rust -jazz")
                .limit(20)
                .build()
                .unwrap(),
        )
        .unwrap();

    // Results should exist (rust items) and none should match jazz.
    let _ = results;
}

/// Step 5: Creator text search returns creators.
#[test]
fn step5_creator_text_search() {
    let db = open_uat_db();

    let results = db
        .search(
            &Search::builder()
                .entity_kind(EntityKind::Creator)
                .query("jazz")
                .limit(10)
                .build()
                .unwrap(),
        )
        .unwrap();

    assert!(
        !results.is_empty(),
        "Creator search for 'jazz' should return results"
    );
    assert!(
        results.items.iter().any(|r| r.bm25_score.is_some()),
        "Creator search results should have BM25 scores"
    );
}

/// Step 6: Creator similar_to returns ANN results.
#[test]
fn step6_creator_similar_to() {
    let db = open_uat_db();

    // Creator 1 is a jazz creator. similar_to should return other jazz creators.
    let results = db
        .search(
            &Search::builder()
                .entity_kind(EntityKind::Creator)
                .similar_to(EntityId::new(1))
                .limit(5)
                .build()
                .unwrap(),
        )
        .unwrap();

    assert!(
        !results.is_empty(),
        "similar_to search should return results"
    );
    // The source entity should not appear in results.
    assert!(
        results
            .items
            .iter()
            .all(|r| r.entity_id != EntityId::new(1)),
        "Source entity should not appear in similar_to results"
    );
    assert!(
        results.items.iter().any(|r| r.semantic_score.is_some()),
        "similar_to results should have semantic scores"
    );
}

/// Step 7: search_click signal records successfully.
#[test]
fn step7_search_click_signal() {
    let db = open_uat_db();

    // Record a search click on item 1.
    // search_click may or may not be in schema; should not panic either way.
    let result = db.signal("search_click", EntityId::new(1), 1.0, Timestamp::now());
    let _ = result;
}

/// Step 8: Re-search after signal write works (no crash or regression).
#[test]
fn step8_search_after_signal_write() {
    let db = open_uat_db();

    // Warm up search.
    let q = Search::builder()
        .query("rust tutorial")
        .limit(10)
        .build()
        .unwrap();
    let _ = db.search(&q).unwrap();

    // Write a signal.
    let _ = db.signal("view", EntityId::new(1), 1.0, Timestamp::now());

    // Re-search should still work.
    let results = db.search(&q).unwrap();
    assert!(
        !results.is_empty(),
        "Re-search after signal write should return results"
    );
}

/// Performance: hybrid search < 50ms at 200 items.
#[test]
fn perf_hybrid_search_under_50ms() {
    let db = open_uat_db();

    let q = Search::builder()
        .query("rust tutorial")
        .vector(vec![1.0f32, 0.0, 0.0, 0.0])
        .limit(20)
        .build()
        .unwrap();

    // Warm up.
    for _ in 0..3 {
        let _ = db.search(&q).unwrap();
    }

    let mut total = std::time::Duration::ZERO;
    for _ in 0..10 {
        let start = std::time::Instant::now();
        let _ = db.search(&q).unwrap();
        total += start.elapsed();
    }
    let avg = total / 10;
    assert!(
        avg < std::time::Duration::from_millis(50),
        "Average hybrid search latency {avg:?} exceeds 50ms target"
    );
}