/// Delta store for incremental updates.
/// Instead of rewriting an entire Parquet file to change one row,
/// we write small delta files. At query time, deltas are merged with the base.
/// Periodic compaction merges deltas into the base file.

use arrow::array::RecordBatch;
use arrow::datatypes::SchemaRef;
use bytes::Bytes;
use object_store::ObjectStore;
use std::sync::Arc;

use shared::arrow_helpers::{parquet_to_record_batches, record_batch_to_parquet};
use storaged::ops;

/// Write a delta file for a dataset (new/updated rows).
pub async fn write_delta(
    store: &Arc<dyn ObjectStore>,
    dataset_name: &str,
    batch: &RecordBatch,
) -> Result<String, String> {
    let ts = chrono::Utc::now().timestamp_millis();
    let key = format!("deltas/{dataset_name}/{ts}.parquet");
    let parquet = record_batch_to_parquet(batch)?;
    ops::put(store, &key, parquet).await?;
    tracing::info!("wrote delta for '{}': {} rows at {}", dataset_name, batch.num_rows(), key);
    Ok(key)
}

/// List all delta files for a dataset.
pub async fn list_deltas(
    store: &Arc<dyn ObjectStore>,
    dataset_name: &str,
) -> Result<Vec<String>, String> {
    let prefix = format!("deltas/{dataset_name}/");
    ops::list(store, Some(&prefix)).await
}

/// Load all delta batches for a dataset.
pub async fn load_deltas(
    store: &Arc<dyn ObjectStore>,
    dataset_name: &str,
) -> Result<Vec<RecordBatch>, String> {
    let keys = list_deltas(store, dataset_name).await?;
    let mut all_batches = Vec::new();

    for key in &keys {
        let data = ops::get(store, key).await?;
        let (_, batches) = parquet_to_record_batches(&data)?;
        all_batches.extend(batches);
    }

    if !all_batches.is_empty() {
        let total_rows: usize = all_batches.iter().map(|b| b.num_rows()).sum();
        tracing::debug!("loaded {} delta files ({} rows) for '{}'", keys.len(), total_rows, dataset_name);
    }

    Ok(all_batches)
}

/// Compact: merge base Parquet + all deltas into a single new base file.
/// Optionally deduplicates by a primary key column.
pub async fn compact(
    store: &Arc<dyn ObjectStore>,
    dataset_name: &str,
    base_key: &str,
    primary_key_col: Option<&str>,
) -> Result<CompactResult, String> {
    // Load base
    let base_data = ops::get(store, base_key).await?;
    let (schema, mut base_batches) = parquet_to_record_batches(&base_data)?;

    // Load deltas
    let delta_batches = load_deltas(store, dataset_name).await?;
    let delta_count = delta_batches.len();

    if delta_batches.is_empty() {
        return Ok(CompactResult {
            base_rows: base_batches.iter().map(|b| b.num_rows()).sum(),
            delta_rows: 0,
            final_rows: base_batches.iter().map(|b| b.num_rows()).sum(),
            deltas_merged: 0,
        });
    }

    base_batches.extend(delta_batches);

    let base_rows: usize = base_batches.iter().map(|b| b.num_rows()).sum();

    // If primary key specified, deduplicate (keep last occurrence)
    let final_batches = if let Some(_pk) = primary_key_col {
        // For now, just concatenate. Full dedup requires sorting by PK
        // and keeping the last row per key — this is a simplification.
        // TODO: implement proper merge with dedup
        base_batches
    } else {
        base_batches
    };

    let final_rows: usize = final_batches.iter().map(|b| b.num_rows()).sum();

    // Write merged base
    let mut merged_parquet = Vec::new();
    for batch in &final_batches {
        let pq = record_batch_to_parquet(batch)?;
        merged_parquet.extend_from_slice(&pq);
    }
    ops::put(store, base_key, Bytes::from(merged_parquet)).await?;

    // Delete delta files
    let delta_keys = list_deltas(store, dataset_name).await?;
    for key in &delta_keys {
        let _ = ops::delete(store, key).await;
    }

    tracing::info!("compacted '{}': {} deltas merged, {} → {} rows", dataset_name, delta_count, base_rows, final_rows);

    Ok(CompactResult {
        base_rows,
        delta_rows: final_rows - base_rows + delta_count, // approximate
        final_rows,
        deltas_merged: delta_count,
    })
}

#[derive(Debug, Clone, serde::Serialize)]
pub struct CompactResult {
    pub base_rows: usize,
    pub delta_rows: usize,
    pub final_rows: usize,
    pub deltas_merged: usize,
}