Class: ImportDataset::DarwinCore

Inherits:
ImportDataset show all
Defined in:
app/models/import_dataset/darwin_core.rb

Direct Known Subclasses

Checklist, Occurrences, Unknown

Defined Under Namespace

Classes: Checklist, Occurrences, Unknown

Constant Summary collapse

CHECKLIST_ROW_TYPE = 
'http://rs.tdwg.org/dwc/terms/Taxon'.freeze
OCCURRENCES_ROW_TYPE = 
'http://rs.tdwg.org/dwc/terms/Occurrence'.freeze

Instance Attribute Summary

Attributes inherited from ImportDataset

#description, #metadata, #source_content_type, #source_file_name, #source_file_size, #source_updated_at, #status

Class Method Summary collapse

Instance Method Summary collapse

Methods inherited from ImportDataset

#delete_origin_relationships

Methods included from Shared::OriginRelationship

#new_objects, #old_objects, #reject_origin_relationships, #set_origin

Methods included from Shared::IsData

#errors_excepting, #full_error_messages_excepting, #identical, #is_community?, #is_destroyable?, #is_editable?, #is_in_use?, #is_in_users_projects?, #metamorphosize, #similar

Methods included from Housekeeping

#has_polymorphic_relationship?

Methods inherited from ApplicationRecord

transaction_with_retry

Constructor Details

#initialize(params) ⇒ DarwinCore

Returns a new instance of DarwinCore.

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# File 'app/models/import_dataset/darwin_core.rb', line 13

def initialize(params)
  import_settings = params&.delete(:import_settings)
  super(params)

  self.metadata = {
    core_headers: [],
    namespaces: {
      core: nil,
      eventID: nil
    }
  }

  set_import_settings(import_settings || {})
end

Class Method Details

.create_with_subtype_detection(params) ⇒ Checklist, ...

Returns the appropriate ImportDataset::DarwinCore subclass instantiated (not saved) for the supplied params

Parameters:

  • file_path (string) —

    Path to DwC-A file

Returns:

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# File 'app/models/import_dataset/darwin_core.rb', line 36

def self.create_with_subtype_detection(params)
  core_type = nil

  return Unknown.new unless params[:source]

  begin
    path = params[:source].tempfile.path
    if path =~ /\.zip\z/i
      dwc = ::DarwinCore.new(path)
      core_type = dwc.core.data[:attributes][:rowType]

      ### Check all files are readable
      [dwc.core, *dwc.extensions].each do |table|
        table.read { |data, errors| raise 'Errors found when reading data' unless errors.empty? }
      end
    else
      if path =~ /\.(xlsx?|ods)\z/i
        headers = CSV.parse(Roo::Spreadsheet.open(path).to_csv, headers: true, header_converters: lambda {|f| f.strip}).headers
      else
        col_sep = default_if_absent(params.dig(:import_settings, :col_sep), "\t")
        quote_char = default_if_absent(params.dig(:import_settings, :qoute_char), '"')
        headers = CSV.read(path, headers: true, col_sep: col_sep, quote_char: quote_char, encoding: 'bom|utf-8', header_converters: lambda {|f| f.strip}).headers
      end

      row_type = params.dig(:import_settings, :row_type)
      if row_type
        core_type = row_type
      elsif headers.include? 'occurrenceID'
        core_type = OCCURRENCES_ROW_TYPE
      elsif headers.include? 'taxonID'
        core_type = CHECKLIST_ROW_TYPE
      end
    end
  rescue Errno::ENOENT, RuntimeError => e # TODO: dwc-archive gem should probably detect missing (or wrongly mapped) files and raise its own exception
    return Unknown.new(params.merge({error_message: "#{e.message}"}))
  end

  case core_type
  when OCCURRENCES_ROW_TYPE
    Occurrences.new(params)
  when CHECKLIST_ROW_TYPE
    Checklist.new(params)
  else
    Unknown.new(params.merge({error_message: "unknown DwC-A core type '#{core_type}'."}))
  end
end

.default_if_absent(value, default) ⇒ Object (private)

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# File 'app/models/import_dataset/darwin_core.rb', line 313

def self.default_if_absent(value, default)
  return default if value.nil? || value.empty?
  value
end

Instance Method Details

#add_filters(records, filters) ⇒ Object (private)

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# File 'app/models/import_dataset/darwin_core.rb', line 347

def add_filters(records, filters)
  filters&.each do |key, value|
    records = records.where(id: core_records_fields.at(key.to_i).having_value(value).select(:dataset_record_id))
  end
  records
end

#check_field_set ⇒ Object (private)

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# File 'app/models/import_dataset/darwin_core.rb', line 363

def check_field_set
  if source.staged?
    if source.staged_path =~ /\.zip\z/i
      headers = get_dwc_headers(::DarwinCore.new(source.staged_path).core)
    else
      if source.staged_path =~ /\.(xlsx?|ods)\z/i
        headers = CSV.parse(Roo::Spreadsheet.open(source.staged_path).to_csv, headers: true).headers
      else
        headers = CSV.read(source.staged_path, headers: true, col_sep: get_col_sep, quote_char: get_quote_char, encoding: 'bom|utf-8').headers
      end
    end

    missing_headers = self.class::MINIMUM_FIELD_SET - headers

    missing_headers.each do |header|
      errors.add(:source, "required field #{header} missing.")
    end
  end
end

#core_records_are_readable ⇒ Object (private)

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# File 'app/models/import_dataset/darwin_core.rb', line 354

def core_records_are_readable
  begin
    get_records(source.staged_path)
  rescue RuntimeError
    errors.add(:source, "A problem occurred when reading the data file. If this is a text file please make sure the selected string and field delimiters are correct.")
  end
  true
end

#core_records_fields ⇒ Object

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# File 'app/models/import_dataset/darwin_core.rb', line 28

def core_records_fields
  dataset_record_fields.with_record_class(core_records_class)
end

#default_nomenclatural_code ⇒ Object

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# File 'app/models/import_dataset/darwin_core.rb', line 242

def default_nomenclatural_code
  self.metadata.dig('import_settings', 'nomenclatural_code')&.downcase&.to_sym || :iczn
end

#destroy_namespace ⇒ Object (private)

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# File 'app/models/import_dataset/darwin_core.rb', line 343

def destroy_namespace
  Namespace.find_by(id: metadata['identifier_namespace'])&.destroy # If in use or gone no deletion happens
end

#get_col_sep ⇒ Object (private)

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# File 'app/models/import_dataset/darwin_core.rb', line 318

def get_col_sep
  DarwinCore.default_if_absent(metadata.dig("import_settings", "col_sep"), "\t")
end

#get_core_record_identifier_namespace ⇒ Object

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# File 'app/models/import_dataset/darwin_core.rb', line 215

def get_core_record_identifier_namespace
  id = metadata.dig('namespaces', 'core')

  if id.nil? || (@core_record_identifier_namespace ||= Namespace.find_by(id:)).nil?
    random = SecureRandom.hex(4)
    project_name = Project.find(Current.project_id).name

    namespace_name = "#{core_records_identifier_name} namespace for \"#{description}\" dataset in \"#{project_name}\" project [#{random}]"

    @core_record_identifier_namespace = Namespace.create!(
      name: namespace_name,
      short_name: "#{core_records_identifier_name}-#{random}",
      verbatim_short_name: core_records_identifier_name,
      delimiter: ':'
    )

    metadata.deep_merge!({
      'namespaces' => {
        'core' => @core_record_identifier_namespace.id
      }
    })
    save!
  end

  @core_record_identifier_namespace
end

#get_dwc_default_values(table) ⇒ Object (private)

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# File 'app/models/import_dataset/darwin_core.rb', line 332

def get_dwc_default_values(table)
  table.fields.select { |f| f.has_key? :default }
end

#get_dwc_headers(table) ⇒ Object (protected)

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# File 'app/models/import_dataset/darwin_core.rb', line 279

def get_dwc_headers(table)
  headers = []

  headers[table.id[:index]] = 'id' if table.id
  table.fields.each { |f| headers[f[:index]] = get_normalized_dwc_term(f) if f[:index] }

  table.read_header.first&.each_with_index { |f, i| headers[i] ||= f.strip }

  get_dwc_default_values(table).each.with_index(headers.length) { |f, i| headers[i] = get_normalized_dwc_term(f) }

  headers
end

#get_dwc_records(table) ⇒ Object (protected)

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# File 'app/models/import_dataset/darwin_core.rb', line 292

def get_dwc_records(table)
  records = []
  headers = get_dwc_headers(table)

  records = table.read.first.map do |row|
    record = {}
    row.each_with_index { |v, i| record[headers[i]] = v }
    defaults = get_dwc_default_values(table)
    defaults.each.with_index(headers.length - defaults.length) { |f, i| record[headers[i]] = f[:default] }
    record
  end

  return records
end

#get_field_mapping(field_name) ⇒ Object (protected)

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# File 'app/models/import_dataset/darwin_core.rb', line 307

def get_field_mapping(field_name)
  get_fields_mapping[field_name.to_s.downcase]
end

#get_fields_mapping ⇒ Object (private)

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# File 'app/models/import_dataset/darwin_core.rb', line 326

def get_fields_mapping
  @fields_mapping ||= metadata['core_headers']
    .reject(&:nil?)
    .each.with_index.inject({}) { |m, (h, i)| m.merge({ h.downcase => i, i => h}) }
end

#get_normalized_dwc_term(field) ⇒ Object (private)

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# File 'app/models/import_dataset/darwin_core.rb', line 336

def get_normalized_dwc_term(field)
  # TODO: Think what to do about complex namespaces like "/std/Iptc4xmpExt/2008-02-29/" (currently returning the full URI as header)
  term = field[:term].match(/\/([^\/]+)\/terms\/.*(?<=\/)([^\/]+)\/?$/)
  #headers[field[:index]] = term ? term[1..2].join(":") : field[:term]
  term ? term[2] : field[:term]
end

#get_quote_char ⇒ Object (private)

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# File 'app/models/import_dataset/darwin_core.rb', line 322

def get_quote_char
  DarwinCore.default_if_absent(metadata.dig("import_settings", "quote_char"), "\"")
end

#get_records(path) ⇒ Object (protected)

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# File 'app/models/import_dataset/darwin_core.rb', line 248

def get_records(path)
  records = { core: [], extensions: {} }
  headers = { core: [], extensions: {} }

  if path =~ /\.zip\z/i
    dwc = ::DarwinCore.new(path)

    headers[:core] = get_dwc_headers(dwc.core)
    records[:core] = get_dwc_records(dwc.core)

    dwc.extensions.each do |extension|
      type = extension.properties[:rowType]
      records[:extensions][type] = get_dwc_records(extension)
      headers[:extensions][type] = get_dwc_headers(extension)
    end
  elsif path =~ /\.(csv|txt|tsv|xlsx?|ods)\z/i
    # only strip whitespace on the headers with lambda functions because whitespace is stripped from the data elsewhere
    if path =~ /\.(csv|txt|tsv)\z/i
      records[:core] = CSV.read(path, headers: true, col_sep: get_col_sep, quote_char: get_quote_char, encoding: 'bom|utf-8', header_converters: lambda {|f| f&.strip})
    else
      records[:core] = CSV.parse(Roo::Spreadsheet.open(path).to_csv, headers: true, header_converters: lambda {|f| f&.strip})
    end
    records[:core] = records[:core].map { |r| r.to_h }
    headers[:core] = records[:core].first.to_h.keys
  else
    raise 'Unsupported input format'
  end

  return records, headers
end

#import(max_time, max_records, retry_errored: nil, filters: nil, record_id: nil) ⇒ Hash

Returns the updated dataset records. Do not call if there are changes that have not been persisted

Parameters:

  • max_time (Integer) —

    Maximum time to spend processing records.

  • max_records (Integer) —

    Maximum number of records to be processed.

  • retry_errored (Boolean) (defaults to: nil) —

    Also looks up for errored records when importing (default is looking for records with Status=Ready)

  • filters (Hash) (defaults to: nil) —

    (Column-index, value) pairs of filters to apply when searching for records to import (default none)

  • record_id (Integer) (defaults to: nil) —

    Indicates the record to be imported (default none). When used filters are ignored.

Returns:

  • (Hash)
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# File 'app/models/import_dataset/darwin_core.rb', line 128

def import(max_time, max_records, retry_errored: nil, filters: nil, record_id: nil)
  imported = []

  lock_time = Time.now
  old_uuid = self.metadata['import_uuid']
  start_import do
    lock_time = Time.now - lock_time
    filters = self.metadata['import_filters'] if filters.nil?
    retry_errored = self.metadata['import_retry_errored'] if retry_errored.nil?
    start_id = self.metadata['import_start_id'] if retry_errored

    status = ['Ready']
    status << 'Errored' if retry_errored
    records = add_filters(core_records.where(status:), filters).order(:id).limit(max_records) #.preload_fields

    records = records.where(id: start_id..) if start_id
    records = core_records.where(id: record_id, status: %w{Ready Errored}) if record_id

    records = records.all
    start_time = Time.now - lock_time

    dwc_data_attributes = project.preferences['model_predicate_sets'].map do |model, predicate_ids|
      [model, Hash[
        *Predicate.where(id: predicate_ids)
          .select { |p| /^http:\/\/rs\.tdwg\.org\/dwc\/terms\/.*/ =~ p.uri }
          .map {|p| [p.uri.split('/').last, p]}
          .flatten
        ]
      ]
    end.to_h

    records.each do |record|
      imported << record.import(dwc_data_attributes)

      break if 1000.0*(Time.now - start_time).abs > max_time
    end

    if imported.any? && record_id.nil?
      reload
      self.metadata.merge!({
        'import_start_id' => imported.last&.id + 1,
        'import_filters' => filters,
        'import_retry_errored' => retry_errored
      })
      save!

      new_uuid = self.metadata['import_uuid']
      ImportDatasetImportJob.perform_later(self, new_uuid, max_time, max_records) unless old_uuid == new_uuid
    else
      self.stop_import
    end
  end

  imported
end

#progress(filters: nil) ⇒ Hash

Returns a hash with the record counts grouped by status

Returns:

  • (Hash)
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# File 'app/models/import_dataset/darwin_core.rb', line 186

def progress(filters: nil)
  add_filters(core_records, filters).group(:status).count
end

#set_import_settings(import_settings) ⇒ Object

Sets import settings for this dataset

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# File 'app/models/import_dataset/darwin_core.rb', line 208

def set_import_settings(import_settings)
  metadata['import_settings'] ||= {}
  import_settings.each { |k, v| metadata['import_settings'].merge!({k => v}) }

  metadata['import_settings']
end

#stage ⇒ Object

Stages DwC-A records into DB.

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# File 'app/models/import_dataset/darwin_core.rb', line 191

def stage
  if status == 'Staging' # ActiveJob being retried could cause this state
    transaction do
      core_records_fields.delete_all
      dataset_records.delete_all
    end
  end

  update!(status: 'Staging') if status == 'Uploaded'

  if status != 'Ready'
    perform_staging
    update!(status: 'Ready')
  end
end

#start_import(&block) ⇒ String

Sets up import dataset for import and returns UUID. If already started same UUID is returned (unless last activity was more than 10 minutes ago). Do not call if there are changes that have not been persisted

Returns:

  • (String)
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# File 'app/models/import_dataset/darwin_core.rb', line 86

def start_import(&block)
  with_lock do
    case self.status
    when 'Ready'
      self.status = 'Importing'
      self.metadata['import_uuid'] = SecureRandom.uuid
    when 'Importing'
      self.metadata['import_uuid'] = SecureRandom.uuid if self.updated_at < 10.minutes.ago
    else
      raise 'Invalid initial state'
    end
    save!

    yield if block_given?
  end

  self.metadata['import_uuid']
end

#stop_import ⇒ Object

Sets import dataset to stop importing data. Do not call if there are changes that have not been persisted.

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# File 'app/models/import_dataset/darwin_core.rb', line 106

def stop_import
  with_lock do
    if self.status == 'Importing'
      self.status = 'Ready'
      self.metadata.except!('import_uuid', 'import_start_id', 'import_filters', 'import_retry_errored')
      save!
    end
  end
end