Class: TeacherDataReader

Inherits:
Object
  • Object
show all
Includes:
DataReaderBase
Defined in:
lib/udise_school_report_reader/teacher_data_reader.rb

Constant Summary collapse

FIELD_MAPPINGS = 
{
  'Regular' => {
    key_path: ['teachers', 'count_by_level', 'regular'],
    value_type: :integer
  },
  'Part-time' => {
    key_path: ['teachers', 'count_by_level', 'part_time'],
    value_type: :integer
  },
  'Contract' => {
    key_path: ['teachers', 'count_by_level', 'contract'],
    value_type: :integer
  },
  'Male' => {
    key_path: ['teachers', 'demographics', 'male'],
    value_type: :integer
  },
  'Female' => {
    key_path: ['teachers', 'demographics', 'female'],
    value_type: :integer
  },
  'Transgender' => {
    key_path: ['teachers', 'demographics', 'transgender'],
    value_type: :integer
  },
  'Below Graduate' => {
    key_path: ['teachers', 'qualifications', 'academic', 'below_graduate'],
    value_type: :integer
  },
  'Graduate' => {
    key_path: ['teachers', 'qualifications', 'academic', 'graduate'],
    value_type: :integer
  },
  'Post Graduate and Above' => {
    key_path: ['teachers', 'qualifications', 'academic', 'post_graduate_and_above'],
    value_type: :integer
  },
  'B.Ed. or Equivalent' => {
    key_path: ['teachers', 'qualifications', 'professional', 'bed'],
    value_type: :integer
  },
  'M.Ed. or Equivalent' => {
    key_path: ['teachers', 'qualifications', 'professional', 'med'],
    value_type: :integer
  },
  'Diploma or Certificate in basic teachers training' => {
    key_path: ['teachers', 'qualifications', 'professional', 'basic_training'],
    value_type: :integer
  },
  'Bachelor of Elementary Education (B.El.Ed.)' => {
    key_path: ['teachers', 'qualifications', 'professional', 'beled'],
    value_type: :integer
  },
  'Diploma/degree in special Education' => {
    key_path: ['teachers', 'qualifications', 'professional', 'special_education'],
    value_type: :integer
  },
  'Teachers Aged above 55' => {
    key_path: ['teachers', 'age_distribution', 'above_55'],
    value_type: :integer
  },
  'Total Teacher Trained in Computer' => {
    key_path: ['teachers', 'training', 'computer_trained'],
    value_type: :integer
  },
  'No. of Total Teacher Received Service Training' => {
    key_path: ['teachers', 'training', 'service', 'total'],
    value_type: :integer
  },
  'Special Training Received' => {
    key_path: ['teachers', 'training', 'special', 'received'],
    value_type: :string
  },
  'Teaching Hours per Week' => {
    key_path: ['teachers', 'workload', 'teaching_hours', 'per_week'],
    value_type: :integer,
    extract_pattern: /(\d+)/
  },
  'Non-Teaching Hours' => {
    key_path: ['teachers', 'workload', 'non_teaching_hours', 'per_week'],
    value_type: :integer,
    extract_pattern: /(\d+)/
  },
  'Total Teacher Involve in Non Teaching Assignment' => {
    key_path: ['teachers', 'assignments', 'non_teaching'],
    value_type: :integer,
    extract_pattern: /^(\d+)$/
  },
  'Subject:' => {
    key_path: ['teachers', 'workload', 'by_subject'],
    value_type: :integer,
    extract_pattern: /^Subject:\s*(.+?)(?:\s*,\s*Teachers:\s*(\d+))?$/,
    dynamic_key: true,
    key_from_match: 1,
    value_from_match: 2,
    key_transform: :downcase
  }
}

Class Method Summary collapse

Methods included from DataReaderBase

included

Class Method Details

.read(lines) ⇒ Object 



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# File 'lib/udise_school_report_reader/teacher_data_reader.rb', line 105

def self.read(lines)
  require 'yaml'
  template_path = File.join(UdiseSchoolReportReader::ROOT_PATH, 'template.yml')
  template = YAML.load_file(template_path)
  data = { 'teachers' => template['teachers'] }

  # Process base module mappings first
  base_data = super
  if base_data&.dig('teachers')
    data['teachers']['count_by_level'] = base_data['teachers']['count_by_level'] if base_data['teachers']['count_by_level']
    data['teachers']['demographics'] = base_data['teachers']['demographics'] if base_data['teachers']['demographics']
    data['teachers']['age_distribution'] = base_data['teachers']['age_distribution'] if base_data['teachers']['age_distribution']
    
    # Handle nested structures
    data['teachers']['assignments'] ||= {}
    data['teachers']['assignments']['non_teaching'] = base_data['teachers']['assignments']['non_teaching'] if base_data['teachers']['assignments']&.dig('non_teaching')

    if base_data['teachers']['qualifications']
      data['teachers']['qualifications'] ||= {}
      data['teachers']['qualifications']['academic'] = base_data['teachers']['qualifications']['academic'] if base_data['teachers']['qualifications']['academic']
      data['teachers']['qualifications']['professional'] = base_data['teachers']['qualifications']['professional'] if base_data['teachers']['qualifications']['professional']
    end

    if base_data['teachers']['training']
      data['teachers']['training'] ||= {}
      data['teachers']['training']['computer_trained'] = base_data['teachers']['training']['computer_trained'] if base_data['teachers']['training']['computer_trained']
      data['teachers']['training']['service'] ||= {}
      data['teachers']['training']['service']['total'] = base_data['teachers']['training']['service']['total'] if base_data['teachers']['training']['service']&.dig('total')
      data['teachers']['training']['special'] ||= {}
      data['teachers']['training']['special']['received'] = base_data['teachers']['training']['special']['received'] if base_data['teachers']['training']['special']&.dig('received')
    end

    if base_data['teachers']['workload']
      data['teachers']['workload'] ||= {}
      data['teachers']['workload']['teaching_hours'] = base_data['teachers']['workload']['teaching_hours'] if base_data['teachers']['workload']['teaching_hours']
      data['teachers']['workload']['non_teaching_hours'] = base_data['teachers']['workload']['non_teaching_hours'] if base_data['teachers']['workload']['non_teaching_hours']
      data['teachers']['workload']['by_subject'] = base_data['teachers']['workload']['by_subject'] if base_data['teachers']['workload']['by_subject']
    end
  end

  lines.each_with_index do |line, i|
    next_line = lines[i + 1]&.strip

    case line
    when /^(\d+)-(.+)$/
      category = $2.strip
      if next_line =~ /^\d+$/
        key = case category
        when 'Primary'
          'primary'
        when 'Up.Pr.'
          'upper_primary'
        when 'Pr. & Up.Pr.'
          'primary_and_upper_primary'
        when 'Sec. only'
          'secondary_only'
        when 'H Sec only.'
          'higher_secondary_only'
        when 'Up pri and Sec.'
          'upper_primary_and_secondary'
        when 'Sec and H Sec'
          'secondary_and_higher_secondary'
        when 'Pre-Primary Only.'
          'pre_primary_only'
        when 'Pre- Pri & Pri'
          'pre_primary_and_primary'
        else
          category.downcase.gsub(/[^a-z0-9]+/, '_').gsub(/^_|_$/, '')
        end

        data['teachers']['classes_taught'][key] = next_line.to_i
      end

    when "Other"
      if next_line =~ /^\d+$/
        data['teachers']['qualifications']['professional']['other'] = next_line.to_i
      end
    when "None"
      if next_line =~ /^\d+$/
        data['teachers']['qualifications']['professional']['none'] = next_line.to_i
      end
    when "Pursuing any Relevant Professional Course"
      if next_line =~ /^\d+$/
        data['teachers']['qualifications']['professional']['pursuing_course'] = next_line.to_i
      end
    end
  end

  # Clean up empty sections
  data['teachers'].each do |key, section|
    if section.is_a?(Hash)
      # Don't clean up assignments section
      next if key == 'assignments'
      section.reject! { |_, v| v.nil? || (v.is_a?(Hash) && v.empty?) }
    end
  end
  data['teachers'].reject! { |k, v| v.nil? || (v.is_a?(Hash) && v.empty? && k != 'assignments') }

  data
end