Merge pull request #11039 from demarches-simplifiees/work_on_enum_filter

ETQ Instructeur: corrections sur les filtres des champs choix multiples et liste liée
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LeSim 2024-11-13 15:37:58 +00:00 committed by GitHub
commit d30c0e0263
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6 changed files with 147 additions and 81 deletions

View file

@ -32,15 +32,16 @@ class Columns::ChampColumn < Column
end
def filtered_ids(dossiers, search_terms)
relation = dossiers.with_type_de_champ(stable_id)
if type == :enum
dossiers.with_type_de_champ(stable_id)
.filter_enum(:champs, column, search_terms).ids
relation.where(champs: { column => search_terms }).ids
elsif type == :enums
dossiers.with_type_de_champ(stable_id)
.filter_array_enum(:champs, column, search_terms).ids
# in a multiple drop down list, the value are stored as '["v1", "v2"]'
quoted_search_terms = search_terms.map { %{"#{_1}"} }
relation.filter_ilike(:champs, column, quoted_search_terms).ids
else
dossiers.with_type_de_champ(stable_id)
.filter_ilike(:champs, column, search_terms).ids
relation.filter_ilike(:champs, column, search_terms).ids
end
end

View file

@ -17,10 +17,28 @@ class Columns::LinkedDropDownColumn < Columns::ChampColumn
)
end
def filtered_ids(dossiers, values)
dossiers.with_type_de_champ(@column)
.filter_ilike(:champs, :value, values)
.ids
def filtered_ids(dossiers, search_terms)
relation = dossiers.with_type_de_champ(@stable_id)
case path
when :value
search_terms.flat_map do |search_term|
# when looking for "section 1 / option A",
# the value must contain both "section 1" and "option A"
primary, *secondary = search_term.split(%r{[[:space:]]*/[[:space:]]*})
safe_terms = [primary, *secondary].map { "%#{safe_like(_1)}%" }
relation.where("champs.value ILIKE ALL (ARRAY[?])", safe_terms).ids
end.uniq
when :primary
primary_terms = search_terms.map { |term| %{["#{safe_like(term)}","%"]} }
relation.where("champs.value ILIKE ANY (array[?])", primary_terms).ids
when :secondary
secondary_terms = search_terms.map { |term| %{["%","#{safe_like(term)}"]} }
relation.where("champs.value ILIKE ANY (array[?])", secondary_terms).ids
end
end
private
@ -44,4 +62,6 @@ class Columns::LinkedDropDownColumn < Columns::ChampColumn
rescue JSON::ParserError
[]
end
def safe_like(q) = ActiveRecord::Base.sanitize_sql_like(q)
end

View file

@ -28,22 +28,13 @@ module DossierFilteringConcern
end
}
scope :filter_ilike, lambda { |table, column, values|
scope :filter_ilike, lambda { |table, column, search_terms|
safe_quoted_terms = search_terms.map { "%#{sanitize_sql_like(_1)}%" }
table_column = DossierFilterService.sanitized_column(table, column)
q = Array.new(values.count, "(#{table_column} ILIKE ?)").join(' OR ')
where(q, *(values.map { |value| "%#{value}%" }))
where("#{table_column} LIKE ANY (ARRAY[?])", safe_quoted_terms)
}
scope :filter_enum, lambda { |table, column, values|
table_column = DossierFilterService.sanitized_column(table, column)
q = Array.new(values.count, "(#{table_column} = ?)").join(' OR ')
where(q, *(values))
}
scope :filter_array_enum, lambda { |table, column, values|
table_column = DossierFilterService.sanitized_column(table, column)
q = Array.new(values.count, "(#{table_column} = ?)").join(' OR ')
where(q, *(values. map { |value| "[\"#{value}\"]" }))
}
def sanitize_sql_like(q) = ActiveRecord::Base.sanitize_sql_like(q)
end
end

View file

@ -44,29 +44,6 @@
],
"note": ""
},
{
"warning_type": "SQL Injection",
"warning_code": 0,
"fingerprint": "5092b33433aef8fe42b688a780325f3791a77b39e55131256c78cebc3c14c0a3",
"check_name": "SQL",
"message": "Possible SQL injection",
"file": "app/models/concerns/dossier_filtering_concern.rb",
"line": 46,
"link": "https://brakemanscanner.org/docs/warning_types/sql_injection/",
"code": "where(\"#{values.count} OR #{\"(#{DossierFilterService.sanitized_column(table, column)} = ?)\"}\", *values.map do\n \"[\\\"#{value}\\\"]\"\n end)",
"render_path": null,
"location": {
"type": "method",
"class": "DossierFilteringConcern",
"method": null
},
"user_input": "values.count",
"confidence": "Medium",
"cwe_id": [
89
],
"note": "filtered by rails query params where(something: ?, values)"
},
{
"warning_type": "SQL Injection",
"warning_code": 0,
@ -120,7 +97,7 @@
"check_name": "SQL",
"message": "Possible SQL injection",
"file": "app/models/columns/json_path_column.rb",
"line": 24,
"line": 26,
"link": "https://brakemanscanner.org/docs/warning_types/sql_injection/",
"code": "dossiers.with_type_de_champ(stable_id).where(\"champs.value_json @? '#{jsonpath} ? (@ like_regex \\\"#{quote_string(search_terms.join(\"|\"))}\\\" flag \\\"i\\\")'\")",
"render_path": null,
@ -136,29 +113,6 @@
],
"note": "escaped by hand"
},
{
"warning_type": "SQL Injection",
"warning_code": 0,
"fingerprint": "91ff8031e7c639c95fe6c244867349a72078ef456d8b3507deaf2bdb9bf62fe2",
"check_name": "SQL",
"message": "Possible SQL injection",
"file": "app/models/concerns/dossier_filtering_concern.rb",
"line": 34,
"link": "https://brakemanscanner.org/docs/warning_types/sql_injection/",
"code": "where(\"#{values.count} OR #{\"(#{DossierFilterService.sanitized_column(table, column)} ILIKE ?)\"}\", *values.map do\n \"%#{value}%\"\n end)",
"render_path": null,
"location": {
"type": "method",
"class": "DossierFilteringConcern",
"method": null
},
"user_input": "values.count",
"confidence": "Medium",
"cwe_id": [
89
],
"note": "filtered by rails query params where(something: ?, values)"
},
{
"warning_type": "Cross-Site Scripting",
"warning_code": 2,
@ -219,20 +173,20 @@
{
"warning_type": "SQL Injection",
"warning_code": 0,
"fingerprint": "aaff41afa7bd5a551cd2e3a385071090cb53c95caa40fad3785cd3d68c9b939c",
"fingerprint": "afd2a1a41bd87fa62e065671670bd9bd8cc503ca4cbd3cfdb74a38a794146926",
"check_name": "SQL",
"message": "Possible SQL injection",
"file": "app/models/concerns/dossier_filtering_concern.rb",
"line": 40,
"line": 35,
"link": "https://brakemanscanner.org/docs/warning_types/sql_injection/",
"code": "where(\"#{values.count} OR #{\"(#{DossierFilterService.sanitized_column(table, column)} = ?)\"}\", *values)",
"code": "where(\"#{DossierFilterService.sanitized_column(table, column)} LIKE ANY (ARRAY[?])\", search_terms.map do\n \"%#{sanitize_sql_like(_1)}%\"\n end)",
"render_path": null,
"location": {
"type": "method",
"class": "DossierFilteringConcern",
"method": null
},
"user_input": "values.count",
"user_input": "DossierFilterService.sanitized_column(table, column)",
"confidence": "Medium",
"cwe_id": [
89
@ -295,6 +249,6 @@
"note": "Current is not a model"
}
],
"updated": "2024-11-04 09:56:55 +0100",
"updated": "2024-11-12 17:33:07 +0100",
"brakeman_version": "6.1.2"
}

View file

@ -0,0 +1,78 @@
# frozen_string_literal: true
describe Columns::LinkedDropDownColumn do
describe '#filtered_ids' do
let(:procedure) { create(:procedure, types_de_champ_public: [{ type: :linked_drop_down_list, libelle: 'linked' }]) }
let(:type_de_champ) { procedure.active_revision.types_de_champ_public.first }
let(:kept_dossier) { create(:dossier, procedure: procedure) }
let(:discarded_dossier) { create(:dossier, procedure: procedure) }
subject { column.filtered_ids(Dossier.all, search_terms) }
context 'when path is :value' do
let(:column) { procedure.find_column(label: 'linked') }
before do
kept_dossier.champs.find_by(stable_id: type_de_champ.stable_id)
.update(value: %{["section 1","option A"]})
discarded_dossier.champs.find_by(stable_id: type_de_champ.stable_id)
.update(value: %{["section 1","option B"]})
end
describe 'when looking for a part' do
let(:search_terms) { ['option A'] }
it { is_expected.to eq([kept_dossier.id]) }
end
describe 'when looking for the aggregated value' do
let(:search_terms) { ['section 1 / option A'] }
it { is_expected.to match_array([kept_dossier.id]) }
end
describe 'when looking for the aggregated value or a common value' do
let(:search_terms) { ['section 1 / option A', 'section'] }
it { is_expected.to match_array([kept_dossier.id, discarded_dossier.id]) }
end
describe 'when looking for a shared string' do
let(:search_terms) { ['option'] }
it { is_expected.to match_array([kept_dossier.id, discarded_dossier.id]) }
end
end
context 'when path is not :value' do
before do
kept_dossier.champs.find_by(stable_id: type_de_champ.stable_id)
.update(value: %{["1","2"]})
discarded_dossier.champs.find_by(stable_id: type_de_champ.stable_id)
.update(value: %{["2","1"]})
end
context 'when path is :primary' do
let(:column) { procedure.find_column(label: 'linked (Primaire)') }
describe 'when looking kept part' do
let(:search_terms) { ['1'] }
it { is_expected.to eq([kept_dossier.id]) }
end
end
context 'when path is :secondary' do
let(:column) { procedure.find_column(label: 'linked (Secondaire)') }
describe 'when looking kept part' do
let(:search_terms) { ['2'] }
it { is_expected.to eq([kept_dossier.id]) }
end
end
end
end
end

View file

@ -510,20 +510,42 @@ describe DossierFilterService do
end
context 'with enums type_de_champ' do
let(:filter) { [type_de_champ.libelle, 'Favorable'] }
let(:types_de_champ_public) { [{ type: :multiple_drop_down_list, options: ['Favorable', 'Defavorable'] }] }
let(:filter) { [type_de_champ.libelle, search_term] }
let(:types_de_champ_public) { [{ type: :multiple_drop_down_list, options: ['champ', 'champignon'] }] }
before do
kept_champ = kept_dossier.champs.find_by(stable_id: type_de_champ.stable_id)
kept_champ.value = ['Favorable']
kept_champ.value = ['champ', 'champignon']
kept_champ.save!
discarded_champ = discarded_dossier.champs.find_by(stable_id: type_de_champ.stable_id)
discarded_champ.value = ['Defavorable']
discarded_champ.value = ['champignon']
discarded_champ.save!
end
it { is_expected.to contain_exactly(kept_dossier.id) }
context 'with single value' do
let(:search_term) { 'champ' }
it { is_expected.to contain_exactly(kept_dossier.id) }
end
context 'with multiple search values' do
let(:search_term) { 'champignon' }
it { is_expected.to contain_exactly(kept_dossier.id, discarded_dossier.id) }
end
context 'test if I could break a regex with %' do
let(:search_term) { '%' }
it { is_expected.to be_empty }
end
context 'test if I could break a regex with .' do
let(:search_term) { '.*' }
it { is_expected.to be_empty }
end
end
end