package org.hathitrust.extractedfeatures;

import java.io.BufferedInputStream;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.Serializable;
import java.util.ArrayList;

import org.apache.commons.cli.*;

import org.apache.spark.api.java.*;
import org.apache.spark.util.DoubleAccumulator;
import org.apache.spark.util.LongAccumulator;
import org.hathitrust.extractedfeatures.PerPageJSONFlatmap;
import org.json.JSONObject;
import org.apache.spark.SparkConf;

public class ProcessForSolrIngest implements Serializable
{
	private static final long serialVersionUID = 1L;

	// Following details on number of partitions to use given in 
	//  "Parallelized collections" section of:
	//   https://spark.apache.org/docs/2.0.1/programming-guide.html
	//
	// For a more detailed discussion see:
	//   http://blog.cloudera.com/blog/2015/03/how-to-tune-your-apache-spark-jobs-part-2/
	
	protected static final int DEFAULT_NUM_CORES = 6;
	protected static final int DEFAULT_NUM_PARTITIONS = 3*DEFAULT_NUM_CORES; 
	
	protected String _input_dir;
	protected String _json_list_filename;
	protected String _solr_url;
	protected String _output_dir;
	
	protected int    _verbosity;

	public ProcessForSolrIngest(String input_dir, String json_list_filename, 
								String solr_url, String output_dir, int verbosity)
	{
		_input_dir = input_dir;
		_json_list_filename = (json_list_filename != null) ? json_list_filename : input_dir;

		_solr_url   = solr_url;
		_output_dir = output_dir;
		_verbosity  = verbosity;
	}

	protected String generateSparkAppName(String exec_mode)
	{
		String spark_app_name = "[" + exec_mode + "] Extract Features: Process for Solr Ingest";
		spark_app_name += " [" + _json_list_filename + "]";

		if (_solr_url != null) { 
			spark_app_name += " solr_url=" + _solr_url;
		}
		
		if (_output_dir != null) { 
			spark_app_name += " output_dir=" + _output_dir;
		}
		
		return spark_app_name;
	}
	
	public ArrayList<String> extrapolateSolrEndpoints()
	{
		ArrayList<String> solr_endpoints = new ArrayList<String>();
		
		if (_solr_url != null) {
			String solr_cloud_nodes = System.getProperty("wcsa-ef-ingest.solr-cloud-nodes",null);
			if (solr_cloud_nodes != null) {
				String [] cloud_nodes = solr_cloud_nodes.split(",");
				for (String cn : cloud_nodes) {
					String solr_endpoint = _solr_url.replaceFirst("//.*?:\\d+/", "//"+cn+"/");
					solr_endpoints.add(solr_endpoint);
				}
			}
			else {
				solr_endpoints.add(_solr_url);
			}
		}
		
		return solr_endpoints;
	}
	
	public void execPerVolume()
	{	
		String spark_app_name = generateSparkAppName("Per Volume");		
		
		SparkConf conf = new SparkConf().setAppName(spark_app_name);
		JavaSparkContext jsc = new JavaSparkContext(conf);
		
		if (_verbosity >= 2) {
			System.out.println("Default Minimum Partions: " + jsc.defaultMinPartitions());
			System.out.println("Default Parallelism: " + jsc.defaultParallelism());
		}
				
		int num_partitions = Integer.getInteger("wcsa-ef-ingest.num-partitions", DEFAULT_NUM_PARTITIONS);
		
		JavaRDD<String> json_list_data = jsc.textFile(_json_list_filename,num_partitions).cache();

		long num_volumes = json_list_data.count();
		double per_vol = 100.0/(double)num_volumes;
		
		//JavaRDD<String> json_list_data_rp = json_list_data.repartition((int)(num_volumes/100));

		DoubleAccumulator progress_accum = jsc.sc().doubleAccumulator("Progress Percent");
		
		System.err.println();
		System.err.println();
		System.err.println();
		System.err.println("****##### _input_dir =  " + _input_dir);
		System.err.println();
		System.err.println();
		System.err.println();
		
		PerVolumeJSON per_vol_json = new PerVolumeJSON(_input_dir,_solr_url,_output_dir,_verbosity, progress_accum,per_vol);

		json_list_data.foreach(per_vol_json);
		
		long num_ids = num_volumes;
		
		System.out.println("");
		System.out.println("############");
		System.out.println("# Number of volume ids: " + num_ids);
		System.out.println("############");
		System.out.println("");

		jsc.close();
	}
	
	
	
	public void execPerPage()
	{	
		String spark_app_name = generateSparkAppName("Per Page");		
		
		SparkConf conf = new SparkConf().setAppName(spark_app_name);
		JavaSparkContext jsc = new JavaSparkContext(conf);
		
		if (_verbosity >= 2) {
			System.out.println("Default Minimum Partions: " + jsc.defaultMinPartitions());
			System.out.println("Default Parallelism: " + jsc.defaultParallelism());
		}
				
		int num_partitions = Integer.getInteger("wcsa-ef-ingest.num-partitions", DEFAULT_NUM_PARTITIONS);
		JavaRDD<String> json_list_data = jsc.textFile(_json_list_filename,num_partitions).cache();

		long num_volumes = json_list_data.count();
		double per_vol = 100.0/(double)num_volumes;
		
		//JavaRDD<String> json_list_data_rp = json_list_data.repartition((int)(num_volumes/100));

		DoubleAccumulator per_vol_progress_accum = jsc.sc().doubleAccumulator("Per Volume Progress Percent");
		
		//String strict_file_io_str = System.getProperty("wcsa-ef-ingest.strict-file-io","true");
		boolean strict_file_io = Boolean.getBoolean("wcsa-ef-ingest.strict-file-io");
				
		PerPageJSONFlatmap paged_solr_json_flatmap 
			= new PerPageJSONFlatmap(_input_dir,_solr_url,_output_dir,_verbosity, 
								     per_vol_progress_accum,per_vol,
								     strict_file_io);
		JavaRDD<JSONObject> per_page_jsonobjects = json_list_data.flatMap(paged_solr_json_flatmap).cache();
		
		//long num_page_ids = per_page_jsonobjects.count(); // trigger lazy eval of: flatmap:per-vol

		LongAccumulator per_page_progress_accum = jsc.sc().longAccumulator("Pages Processed");
		ArrayList<String> solr_endpoints = extrapolateSolrEndpoints();
		
		
		PerPageJSONMap paged_json_id_map 
			= new PerPageJSONMap(_input_dir,solr_endpoints,_output_dir,_verbosity, 
							     per_page_progress_accum,1);
		JavaRDD<String> per_page_ids = per_page_jsonobjects.map(paged_json_id_map);

/*
		System.out.println("");
		System.out.println("############");
		System.out.println("# Progress Accumulator: " + progress_accum.value());
		System.out.println("############");
		System.out.println("");
*/
		
		long num_page_ids = per_page_ids.count(); // trigger lazy eval of: flatmap:per-vol -> map:per-page
		
		System.out.println("");
		System.out.println("############");
		System.out.println("# Number of page ids: " + num_page_ids);
		System.out.println("############");
		System.out.println("");

		/*
		if (_output_dir != null) {
			String rdd_save_file = "rdd-solr-json-page-files";
			json_ids.saveAsTextFile(rdd_save_file);
			System.out.println("############");
			System.out.println("# Saved RDD of Solr JSON page files, top-level, as:");
			System.out.println("#  " + rdd_save_file);
			System.out.println("############");
			System.out.println("");
		}
		*/
		
		jsc.close();
	}

	
	

	public static void print_usage(HelpFormatter formatter, Options options)
	{
		formatter.printHelp("RUN.bash [options] input-dir json-filelist.txt", options);
	}
	
	public static void main(String[] args) {
		Options options = new Options();

		Option verbosity_opt = new Option("v", "verbosity", true, 
				"Set to control the level of debugging output [0=none, 1=some, 2=lots]");
		verbosity_opt.setRequired(false);
		options.addOption(verbosity_opt);
		
		Option properties_opt = new Option("p", "properties", true, 
				"Read in the specified Java properties file");
		properties_opt.setRequired(false);
		options.addOption(properties_opt);
		
		Option output_dir_opt = new Option("o", "output-dir", true, 
				"If specified, save BZipped Solr JSON files to this directory");
		output_dir_opt.setRequired(false);
		options.addOption(output_dir_opt);
		
		Option solr_url_opt = new Option("u", "solr-url", true, 
				"If specified, the URL to post the Solr JSON data to");
		solr_url_opt.setRequired(false);
		options.addOption(solr_url_opt);
		
		Option read_only_opt = new Option("r", "read-only", false, 
				"Used to initiate a run where the files are all read in, but nothing is ingested/saved");
		read_only_opt.setRequired(false);
		options.addOption(read_only_opt);
		
		// Need to work with CLI v1.2 as this is the JAR that is bundled with Hadoop/Spark 
		CommandLineParser parser = new GnuParser(); 
		//CommandLineParser parser = new DefaultParser(); // if working with CLI v1.3 and above
		
		HelpFormatter formatter = new HelpFormatter();
		CommandLine cmd = null;

		try {
			cmd = parser.parse(options, args);
		}
		catch (ParseException e) {
			System.err.println(e.getMessage());
			print_usage(formatter,options);
			System.exit(1);
		}

		
		String verbosity_str = cmd.getOptionValue("verbosity","1");
		int verbosity = Integer.parseInt(verbosity_str);

		String property_filename = cmd.getOptionValue("properties",null);
	
		String output_dir = cmd.getOptionValue("output-dir",null);
		String solr_url   = cmd.getOptionValue("solr-url",null);
		boolean read_only   = cmd.hasOption("read-only");
		
		String[] filtered_args = cmd.getArgs();

		if (filtered_args.length != 2) {
			print_usage(formatter,options);
			System.exit(1);
		}
	
		if (property_filename != null) {
			try {
				FileInputStream fis = new FileInputStream(property_filename);
				BufferedInputStream bis = new BufferedInputStream(fis);
				
				System.getProperties().load(bis);
			} 
			catch (FileNotFoundException e) {
				// TODO Auto-generated catch block
				e.printStackTrace();
				System.err.println("File not found: '" + property_filename + "'. Skipping property file read");
			}
			catch (IOException e) {
				System.err.println("IO Exception for: '" + property_filename + "'. Malformed syntax? Skipping property file read");
			}
		}
		
		if (!read_only && ((output_dir == null) && (solr_url==null))) {
			System.err.println("Need to specify either --solr-url or --output-dir otherwise generated files are not ingested/saved");
			print_usage(formatter,options);
			System.exit(1);
		}
		if (read_only) {
			// For this case, need to ensure solr-url and output-dir are null
			output_dir = null;
			solr_url = null;
		}
		
		String input_dir  = filtered_args[0];
		String json_list_filename = filtered_args[1];
		
		ProcessForSolrIngest prep_for_ingest 
			= new ProcessForSolrIngest(input_dir,json_list_filename,solr_url,output_dir,verbosity);
		
		
		boolean use_whitelist = Boolean.getBoolean("wcsa-ef-ingest.use-whitelist");
				
		if (use_whitelist) {
			String whitelist_filename = System.getProperty("wcsa-ef-ingest.whitelist-filename");

			WhitelistBloomFilter whitelist_bloomfilter = new WhitelistBloomFilter(whitelist_filename,true);
			whitelist_bloomfilter.contains("foo");
		}
		
		
		String process_ef_json_mode = System.getProperty("wcsa-ef-ingest.process-ef-json-mode","per-page");
		if (process_ef_json_mode.equals("per-volume")) { 
			prep_for_ingest.execPerVolume();
		}
		else {
			prep_for_ingest.execPerPage();
		}
	}
}