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// Copyright 2015 Google Inc. All Rights Reserved.
//
// Licensed 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 com.google.api.ads.admanager.axis.utils.v202402;

import com.google.api.ads.admanager.axis.v202402.BooleanValue;
import com.google.api.ads.admanager.axis.v202402.ColumnType;
import com.google.api.ads.admanager.axis.v202402.Date;
import com.google.api.ads.admanager.axis.v202402.DateTime;
import com.google.api.ads.admanager.axis.v202402.DateTimeValue;
import com.google.api.ads.admanager.axis.v202402.DateValue;
import com.google.api.ads.admanager.axis.v202402.NumberValue;
import com.google.api.ads.admanager.axis.v202402.ResultSet;
import com.google.api.ads.admanager.axis.v202402.Row;
import com.google.api.ads.admanager.axis.v202402.SetValue;
import com.google.api.ads.admanager.axis.v202402.Targeting;
import com.google.api.ads.admanager.axis.v202402.TargetingValue;
import com.google.api.ads.admanager.axis.v202402.TextValue;
import com.google.api.ads.admanager.axis.v202402.Value;
import com.google.common.base.Function;
import com.google.common.base.Joiner;
import com.google.common.base.Strings;
import com.google.common.collect.Lists;
import java.text.NumberFormat;
import java.text.ParseException;
import java.util.Collections;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Set;
import org.apache.commons.lang.StringEscapeUtils;

/**
 * A utility class for handling PQL objects. A typical use case is to combine result sets from the
 * PublisherQueryLanguageService to then create a CSV such as:
 *
 * 
 * 
 * ResultSet combinedResultSet = null
 * do {
 *   ResultSet resultSet = pqlService.select(pagedStatement);
 *   combinedResultSet = (combinedResultSet == null) ? resultSet :
 *       Pql.combineResultSet(combinedResultSet, resultSet);
 *   // ...
 * } while(!finishedCollectingResultSets)
 * //...
 * CsvFiles.writeCsv(Pql.resultSetToStringArrayList(combinedResultSet), filePath);
 * 
 * 

 */
public final class Pql {

  /** {@code Pql} is meant to be used statically. */
  private Pql() {}

  /**
   * Creates a {@link Value} from the value i.e. a {@link TextValue} for a value of type {@code
   * String}, {@link BooleanValue} for type {@code Boolean}, {@link NumberValue} for type {@code
   * Double}, {@code Long}, or {@code Integer}, {@link DateTimeValue} for type {@link DateTime}, and
   * {@link DateValue} for type {@link Date}. If the value is a {@code Value}, the value is
   * returned. If the value is {@code null}, an empty {@link TextValue} is returned.
   *
   * @param value the value to convert
   * @return the constructed value of the appropriate type
   * @throws IllegalArgumentException if value cannot be converted
   */
  public static Value createValue(Object value) {
    if (value instanceof Value) {
      return (Value) value;
    } else if (value == null) {
      return new TextValue();
    } else {
      if (value instanceof Boolean) {
        BooleanValue booleanValue = new BooleanValue();
        booleanValue.setValue((Boolean) value);
        return booleanValue;
      } else if (value instanceof Double || value instanceof Long || value instanceof Integer) {
        NumberValue numberValue = new NumberValue();
        numberValue.setValue(value.toString());
        return numberValue;
      } else if (value instanceof String) {
        TextValue textValue = new TextValue();
        textValue.setValue((String) value);
        return textValue;
      } else if (value instanceof DateTime) {
        DateTimeValue dateTimeValue = new DateTimeValue();
        dateTimeValue.setValue((DateTime) value);
        return dateTimeValue;
      } else if (value instanceof Date) {
        DateValue dateValue = new DateValue();
        dateValue.setValue((Date) value);
        return dateValue;
      } else if (value instanceof Targeting) {
        TargetingValue targetingValue = new TargetingValue();
        targetingValue.setValue((Targeting) value);
        return targetingValue;
      } else if (value instanceof Set) {
        SetValue setValue = new SetValue();
        Set values = new LinkedHashSet();
        for (Object entry : (Set) value) {
          validateSetValueEntryForSet(createValue(entry), values);
          values.add(createValue(entry));
        }
        setValue.setValues(values.toArray(new Value[] {}));
        return setValue;
      } else {
        throw new IllegalArgumentException("Unsupported Value type [" + value.getClass() + "]");
      }
    }
  }

  /**
   * Validates that an Object is a valid entry for a SetValue.
   *
   * @param entry the Object to validate
   * @throws IllegalArgumentException if the Object is an unsupported type
   */
  private static void validateSetValueEntryForSet(Object entry, Set set) {
    if (entry instanceof Set || entry instanceof SetValue) {
      throw new IllegalArgumentException("Unsupported Value type [nested sets]");
    }
    if (!set.isEmpty()) {
      Object existingEntry = set.iterator().next();
      if (!existingEntry.getClass().isAssignableFrom(entry.getClass())) {
        throw new IllegalArgumentException(
            String.format(
                "Unsupported Value type [SetValue with " + "mixed types %s and %s]",
                existingEntry.getClass(), entry.getClass()));
      }
    }
  }

  /**
   * Creates a String from the Value. Date and DateTime values are converted using the rules of
   * {@link DateTimes#toString(Date)} and {@link DateTimes#toStringWithTimeZone(DateTime)}
   * respectively.
   *
   * @param value the value to convert
   * @return the string representation of the value or an empty string for null
   * @throws IllegalArgumentException if value cannot be converted
   */
  public static String toString(Value value) {
    Object unwrappedValue = getCsvValue(value);
    if (unwrappedValue == null) {
      return "";
    } else {
      return unwrappedValue.toString();
    }
  }

  /**
   * Gets the underlying value of the {@code Value} object that's comparable to what would be
   * returned in any other API object (i.e. DateTimeValue will return an API DateTime, not a Joda
   * DateTime).
   *
   * @param value the value to convert
   * @return the native value of {@code Value} or {@code null} if the underlying value is null
   * @throws IllegalArgumentException if value cannot be converted
   */
  public static Object getApiValue(Value value) {
    if (value instanceof BooleanValue) {
      return ((BooleanValue) value).getValue();
    } else if (value instanceof NumberValue) {
      if (Strings.isNullOrEmpty(((NumberValue) value).getValue())) {
        return null;
      } else {
        try {
          return NumberFormat.getInstance().parse(((NumberValue) value).getValue());
        } catch (ParseException e) {
          throw new IllegalStateException(
              "Received invalid number format from API: " + ((NumberValue) value).getValue());
        }
      }
    } else if (value instanceof TextValue) {
      return ((TextValue) value).getValue();
    } else if (value instanceof DateTimeValue) {
      return ((DateTimeValue) value).getValue();
    } else if (value instanceof DateValue) {
      return ((DateValue) value).getValue();
    } else if (value instanceof TargetingValue) {
      return ((TargetingValue) value).getValue();
    } else if (value instanceof SetValue) {
      Value[] setValues = ((SetValue) value).getValues();
      Set apiValue = new LinkedHashSet();
      if (setValues != null) {
        for (Value setValue : setValues) {
          validateSetValueEntryForSet(getApiValue(setValue), apiValue);
          apiValue.add(getApiValue(setValue));
        }
      }
      return apiValue;
    } else {
      throw new IllegalArgumentException("Unsupported Value type [" + value.getClass() + "]");
    }
  }

  /**
   * Gets the underlying value of the {@code Value} object that's considered native to Java (i.e.
   * DateTimeValue will return a Joda DateTime, not an API DateTime and DateValue will return a
   * string in the form of "yyyy-MM-dd").
   *
   * @param value the value to convert
   * @return the native value of {@code Value} or {@code null} if the underlying value is null
   * @throws IllegalArgumentException if value cannot be converted
   */
  public static Object getNativeValue(Value value) {
    return getNativeValue(getApiValue(value));
  }

  /**
   * Gets the underlying value of the api value object that's considered native to Java (i.e.
   * DateTimeValue will return a Joda DateTime, not an API DateTime and DateValue will return a
   * string in the form of "yyyy-MM-dd").
   *
   * @param apiValue the api value to convert
   * @return the native value or {@code null} if the underlying value is null
   * @throws IllegalArgumentException if apiValue cannot be converted
   */
  private static Object getNativeValue(Object apiValue) {
    if (apiValue == null) {
      return null;
    } else if (apiValue instanceof DateTime) {
      return DateTimes.toDateTime((DateTime) apiValue);
    } else if (apiValue instanceof Date) {
      return DateTimes.toString((Date) apiValue);
    } else if (apiValue instanceof Set) {
      Set nativeValues = new LinkedHashSet();
      for (Object entry : (Set) apiValue) {
        validateSetValueEntryForSet(getNativeValue(entry), nativeValues);
        nativeValues.add(getNativeValue(entry));
      }
      return nativeValues;
    } else {
      return apiValue;
    }
  }

  /**
   * Gets the underlying value of the {@code Value} object that should be used for CSV conversion
   * (i.e. DateTimeValue will return a String representation, but NumberValue will return a Long or
   * Double).
   *
   * @param value the value to convert
   * @return the CSV conversion value of {@code Value} or {@code null} if the underlying value is
   *     null
   * @throws IllegalArgumentException if value cannot be converted
   */
  public static Object getCsvValue(Value value) {
    return getCsvValue(getApiValue(value));
  }

  /**
   * Gets the underlying value of the {@code Value} object that should be used for CSV conversion
   * (i.e. DateTimeValue will return a String representation, but NumberValue will return a Long or
   * Double).
   *
   * @param apiValue the api value to convert
   * @return the CSV conversion value of the api value or {@code null} if the underlying value is
   *     null
   * @throws IllegalArgumentException if value cannot be converted
   */
  private static Object getCsvValue(Object apiValue) {
    if (apiValue == null) {
      return null;
    } else if (apiValue instanceof DateTime) {
      return DateTimes.toStringWithTimeZone((DateTime) apiValue);
    } else if (apiValue instanceof Date) {
      return DateTimes.toString((Date) apiValue);
    } else if (apiValue instanceof Set) {
      Set csvValues = new LinkedHashSet();
      for (Object entry : (Set) apiValue) {
        Object csvValue = getCsvValue(entry);
        validateSetValueEntryForSet(csvValue, csvValues);
        if (csvValue instanceof String) {
          csvValue = StringEscapeUtils.escapeCsv((String) csvValue);
        }
        csvValues.add(csvValue);
      }
      return Joiner.on(",").join(csvValues);
    } else if (apiValue instanceof Targeting) {
      throw new IllegalArgumentException("Unsupported Value type [" + apiValue.getClass() + "]");
    } else {
      return apiValue;
    }
  }

  /**
   * Gets the result set as list of string arrays, which can be transformed to a CSV using {@code
   * CsvFiles} such as
   *
   * 
   * 
   * ResultSet combinedResultSet = Pql.combineResultSet(resultSet1, resultSet2);
   * //...
   * combinedResultSet = Pql.combineResultSet(combinedResultSet, resultSet3);
   * CsvFiles.writeCsv(Pql.resultSetToStringArrayList(combinedResultSet), filePath);
   * 
   * 

   *
   * @param resultSet the result set to convert to a CSV compatible format
   * @return a list of string arrays representing the result set
   */
  public static List resultSetToStringArrayList(ResultSet resultSet) {
    List stringArrayList = Lists.newArrayList();
    stringArrayList.add(getColumnLabels(resultSet).toArray(new String[] {}));
    if (resultSet.getRows() != null) {
      for (Row row : resultSet.getRows()) {
        try {
          stringArrayList.add(getRowStringValues(row).toArray(new String[] {}));
        } catch (IllegalArgumentException e) {
          throw new IllegalStateException("Cannot convert result set to string array list", e);
        }
      }
    }
    return stringArrayList;
  }

  /**
   * Gets the result set as a table representation in the form of:
   *
   * 
   * +-------+-------+-------+
   * |column1|column2|column3|
   * +-------+-------+-------+
   * |value1 |value2 |value3 |
   * +-------+-------+-------+
   * |value1 |value2 |value3 |
   * +-------+-------+-------+
   * 

   *
   * @param resultSet the result set to display as a string
   * @return the string representation of result set as a table
   * @throws IllegalAccessException if the values of the result set cannot be accessed
   */
  public static String resultSetToString(ResultSet resultSet) throws IllegalAccessException {
    StringBuilder resultSetStringBuilder = new StringBuilder();
    List resultSetStringArrayList = resultSetToStringArrayList(resultSet);
    List maxColumnSizes = getMaxColumnSizes(resultSetStringArrayList);
    String rowTemplate = createRowTemplate(maxColumnSizes);
    String rowSeparator = createRowSeperator(maxColumnSizes);

    resultSetStringBuilder.append(rowSeparator);
    for (int i = 0; i < resultSetStringArrayList.size(); i++) {
      resultSetStringBuilder
          .append(String.format(rowTemplate, (Object[]) resultSetStringArrayList.get(i)))
          .append(rowSeparator);
    }
    return resultSetStringBuilder.toString();
  }

  /**
   * Creates the row template given the maximum size for each column
   *
   * @param maxColumnSizes the maximum size for each column
   * @return the row template to format row data into
   */
  private static String createRowTemplate(List maxColumnSizes) {
    List columnFormatSpecifiers = Lists.newArrayList();
    for (int maxColumnSize : maxColumnSizes) {
      columnFormatSpecifiers.add("%-" + maxColumnSize + "s");
    }
    return new StringBuilder("| ")
        .append(Joiner.on(" | ").join(columnFormatSpecifiers))
        .append(" |\n")
        .toString();
  }

  /**
   * Creates the row separator given the maximum size for each column
   *
   * @param maxColumnSizes the maximum size for each column
   * @return the row separator
   */
  private static String createRowSeperator(List maxColumnSizes) {
    StringBuilder rowSeparator = new StringBuilder("+");
    for (int maxColumnSize : maxColumnSizes) {
      rowSeparator.append(Strings.repeat("-", maxColumnSize + 2)).append("+");
    }
    return rowSeparator.append("\n").toString();
  }

  /**
   * Gets a list of the maximum size for each column.
   *
   * @param resultSet the result set to process
   * @return a list of the maximum size for each column
   */
  private static List getMaxColumnSizes(List resultSet) {
    List maxColumnSizes = Lists.newArrayList();
    for (int i = 0; i < resultSet.get(0).length; i++) {
      int maxColumnSize = -1;
      for (int j = 0; j < resultSet.size(); j++) {
        if (resultSet.get(j)[i].length() > maxColumnSize) {
          maxColumnSize = resultSet.get(j)[i].length();
        }
      }
      maxColumnSizes.add(maxColumnSize);
    }
    return maxColumnSizes;
  }

  /**
   * Gets the column labels for the result set.
   *
   * @param resultSet the result set to get the column labels for
   * @return the string list of column labels
   */
  public static List getColumnLabels(ResultSet resultSet) {
    return Lists.transform(
        Lists.newArrayList(resultSet.getColumnTypes()),
        new Function() {
          @Override
          public String apply(ColumnType input) {
            return input.getLabelName();
          }
        });
  }

  /**
   * Gets the values in a row of the result set in the form of a string list.
   *
   * @param row the row to get the values for
   * @return the string list of the row values
   */
  public static List getRowStringValues(Row row) {
    return Lists.transform(
        Lists.newArrayList(row.getValues()),
        new Function() {
          @Override
          public String apply(Value input) {
            return Pql.toString(input);
          }
        });
  }

  /**
   * Combines the first and second result sets, if and only if, the columns of both result sets
   * match.
   *
   * @throws IllegalArgumentException if the columns of the first result set don't match the second
   */
  public static ResultSet combineResultSets(ResultSet first, ResultSet second) {
    Function columnTypeToString =
        new Function() {
          @Override
          public String apply(ColumnType input) {
            return input.getLabelName();
          }
        };
    List firstColumns =
        Lists.transform(Lists.newArrayList(first.getColumnTypes()), columnTypeToString);
    List secondColumns =
        Lists.transform(Lists.newArrayList(second.getColumnTypes()), columnTypeToString);
    if (!firstColumns.equals(secondColumns)) {
      throw new IllegalArgumentException(
          String.format(
              "First result set columns [%s] do not match second columns [%s]",
              Joiner.on(",").join(firstColumns), Joiner.on(",").join(secondColumns)));
    }
    List combinedRows = Lists.newArrayList(first.getRows());
    if (second.getRows() != null) {
      Collections.addAll(combinedRows, second.getRows());
    }

    ResultSet combinedResultSet = new ResultSet();
    combinedResultSet.setColumnTypes(first.getColumnTypes());
    combinedResultSet.setRows(combinedRows.toArray(new Row[] {}));
    return combinedResultSet;
  }
}
    

    

    

            

    

            



    
    






    
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