/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

package org.apache.datafusion;

import org.apache.arrow.c.ArrowArrayStream;
import org.apache.arrow.c.Data;
import org.apache.arrow.memory.BufferAllocator;
import org.apache.arrow.vector.ipc.ArrowReader;

/**
 * A lazy representation of a query plan, mirroring the Rust DataFusion {@code DataFrame}. Created
 * by {@link SessionContext#sql(String)} or other planning entry points and executed by {@link
 * #collect}.
 *
 * <p>Instances are <strong>not thread-safe</strong> and must be closed. {@link #collect} consumes
 * the DataFrame: a successfully collected DataFrame cannot be collected again, and {@link #close()}
 * on an already-collected instance is a no-op.
 */
public final class DataFrame implements AutoCloseable {
  static {
    NativeLibraryLoader.loadLibrary();
  }

  private long nativeHandle;

  DataFrame(long nativeHandle) {
    if (nativeHandle == 0) {
      throw new IllegalArgumentException("DataFrame native handle is null");
    }
    this.nativeHandle = nativeHandle;
  }

  /**
   * Execute the plan and return its record batches as an {@link ArrowReader}.
   *
   * <p>Consumes this DataFrame: the native plan is released as soon as the stream is established.
   * The caller is responsible for closing the returned reader, and the supplied allocator must
   * outlive it.
   */
  public ArrowReader collect(BufferAllocator allocator) {
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    ArrowArrayStream stream = ArrowArrayStream.allocateNew(allocator);
    long handle = nativeHandle;
    nativeHandle = 0;
    try {
      collectDataFrame(handle, stream.memoryAddress());
      return Data.importArrayStream(allocator, stream);
    } catch (Throwable e) {
      stream.close();
      throw e;
    }
  }

  /** Execute the plan and return the number of rows. */
  public long count() {
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    return countRows(nativeHandle);
  }

  /** Execute the plan and print formatted batches to native stdout. */
  public void show() {
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    showDataFrame(nativeHandle);
  }

  /** Execute the plan and print the first {@code limit} rows to native stdout. */
  public void show(int limit) {
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    showDataFrameWithLimit(nativeHandle, limit);
  }

  /**
   * Project the listed columns into a new DataFrame. The receiver remains usable and must still be
   * closed independently.
   */
  public DataFrame select(String... columnNames) {
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    return new DataFrame(selectColumns(nativeHandle, columnNames));
  }

  /**
   * Apply a SQL predicate to produce a filtered DataFrame. The predicate is parsed against this
   * DataFrame's own schema. The receiver remains usable and must still be closed independently.
   */
  public DataFrame filter(String predicate) {
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    return new DataFrame(filterRows(nativeHandle, predicate));
  }

  /**
   * Take the first {@code fetch} rows. Equivalent to {@link #limit(int, int)} with {@code skip =
   * 0}. The receiver remains usable and must still be closed independently.
   */
  public DataFrame limit(int fetch) {
    return limit(0, fetch);
  }

  /**
   * Skip {@code skip} rows, then take the next {@code fetch} rows. Both arguments must be
   * non-negative. The receiver remains usable and must still be closed independently.
   */
  public DataFrame limit(int skip, int fetch) {
    if (skip < 0) {
      throw new IllegalArgumentException("skip must be non-negative, was " + skip);
    }
    if (fetch < 0) {
      throw new IllegalArgumentException("fetch must be non-negative, was " + fetch);
    }
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    return new DataFrame(limitRows(nativeHandle, skip, fetch));
  }

  /**
   * Deduplicate rows across all columns. The receiver remains usable and must still be closed
   * independently.
   */
  public DataFrame distinct() {
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    return new DataFrame(distinctRows(nativeHandle));
  }

  /**
   * Drop the named columns. The inverse of {@link #select(String...)}. The receiver remains usable
   * and must still be closed independently.
   */
  public DataFrame dropColumns(String... columnNames) {
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    return new DataFrame(dropColumns(nativeHandle, columnNames));
  }

  /** Rename a column. The receiver remains usable and must still be closed independently. */
  public DataFrame withColumnRenamed(String oldName, String newName) {
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    return new DataFrame(renameColumn(nativeHandle, oldName, newName));
  }

  /**
   * Materialize this DataFrame as Parquet at {@code path}. The path is treated as a directory
   * unless overridden via {@link ParquetWriteOptions#singleFileOutput(boolean)}. The receiver
   * remains usable and must still be closed independently.
   *
   * @throws RuntimeException if the write fails.
   */
  public void writeParquet(String path) {
    writeParquet(path, new ParquetWriteOptions());
  }

  /**
   * Materialize this DataFrame as Parquet at {@code path} with the supplied {@link
   * ParquetWriteOptions}. The receiver remains usable and must still be closed independently.
   *
   * @throws RuntimeException if the write fails (path inaccessible, invalid compression spec,
   *     etc.).
   */
  public void writeParquet(String path, ParquetWriteOptions options) {
    if (nativeHandle == 0) {
      throw new IllegalStateException("DataFrame is closed or already collected");
    }
    writeParquetWithOptions(
        nativeHandle,
        path,
        options.compression(),
        options.singleFileOutput() != null,
        options.singleFileOutput() != null && options.singleFileOutput());
  }

  @Override
  public void close() {
    if (nativeHandle != 0) {
      closeDataFrame(nativeHandle);
      nativeHandle = 0;
    }
  }

  private static native void collectDataFrame(long handle, long ffiStreamAddr);

  private static native void closeDataFrame(long handle);

  private static native long countRows(long handle);

  private static native void showDataFrame(long handle);

  private static native void showDataFrameWithLimit(long handle, int limit);

  private static native long selectColumns(long handle, String[] columnNames);

  private static native long filterRows(long handle, String predicate);

  private static native long limitRows(long handle, int skip, int fetch);

  private static native long distinctRows(long handle);

  private static native long dropColumns(long handle, String[] columnNames);

  private static native long renameColumn(long handle, String oldName, String newName);

  private static native void writeParquetWithOptions(
      long handle,
      String path,
      String compression,
      boolean singleFileOutputSet,
      boolean singleFileOutputValue);
}