csv_example_product.yml in Commerce Migrate 3.0.x
Same filename and directory in other branches
modules/csv_example/migrations/csv_example_product.yml
File
modules/csv_example/migrations/csv_example_product.ymlView source
- # Import a product.
- #
- # Import a product with up to 2 taxonomy vocabularies, and single valued and
- # multi valued entity reference fields. The product type is 'default'.
- #
- # If any of the field values do not exist in the source, processing for that
- # item is skipped, the remaining data is still imported.
- #
- # To modify
- #
- # Destination site configuration:
- # - Same requirements as the taxonomy_term migration.
- # - Same requirements as the paragraph_tab migration.
- # - Same requirements as the csv_video migration.
- # - Same requirements as the csv_product_variation migration.
- # - Install the Paragraph Module.
- #
- id: csv_example_product
- label: Products
- migration_group: commerce_migrate_csv_example
- migration_tags:
- - Commerce CSV
- - Content
- source:
- # Uses a custom source plugin, based on the CSV source plugin in
- # migrate_source_csv, that will build an array of product variation ids as
- # well as trim the input from the source CSV.
- plugin: csv_example_product
- # Change the path and filename to match your source CSV file.
- path: 'public://import/example-products.csv'
- # Change the enclosure character to suit your source CVS file.
- enclosure: "\""
- # Change the number of header rows to suit your source CVS file.
- header_offset: 0
- # The key field for this migration. List many column names as needed to create
- # a unique key for your migration. These keys are also used when a
- # migration_lookup process is needed with this migration.
- ids: [title]
- # Define some constants for use in the process pipeline.
- constants:
- video_embed_prefix: '<iframe width="560" height="315" src="'
- video_embed_suffix: ' frameborder="0" allowfullscreen></iframe>'
- # Gives each column a field name for use in the process pipeline and a label.
- # This is a complete list of columns in the example spreadsheet. Each
- # migration only needs to define the columns that it will use.
- fields:
- - name: title
- label: Title
- - name: sku
- label: SKU
- - name: status
- label: Status
- - name: product_type
- label: Product type
- - name: description
- label: Description
- - name: product_variation_type
- label: Product variation type
- - name: sell_price
- label: Sell price
- - name: vocabulary_name1
- label: Vocabulary1
- - name: term1
- label: Vocabulary value1
- - name: vocabulary_name2
- label: Vocabulary2
- - name: term2
- label: Vocabulary value2
- - name: vocabulary_name3
- label: Vocabulary3
- - name: term3
- label: Vocabulary value3
- - name: attribute_name1
- label: Attribute name1
- - name: attribute_value1
- label: Attribute value1
- - name: attribute_name2
- label: Attribute name2
- - name: attribute_value2
- label: Attribute value2
- - name: attribute_name3
- label: Attribute name3
- - name: attribute_value3
- label: Attribute value3
- - name: attribute_name4
- label: Attribute name4
- - name: attribute_value4
- label: Attribute value4
- - name: related1
- label: SKU of Related item 1
- - name: related2
- label: SKU of Related item 2
- - name: related3
- label: SKU of Related item 3
- - name: image1
- label: Image 1
- - name: image2
- label: Image 2
- - name: image3
- label: Image 3
- - name: video1
- label: Video 1
- - name: thumbnail1
- label: Thumbnail 1
- - name: video2
- label: Video 2
- - name: thumbnail2
- label: Thumbnail 2
- - name: video3
- label: Video 3
- - name: thumbnail3
- label: Thumbnail 3
- - name: tab_title1
- label: Tab title 1
- - name: tab_content1
- label: Tab content 1
- - name: tab_cta1
- label: Associated tab CTA 1
- - name: tab_title2
- label: Tab title 2
- - name: tab_content2
- label: Tab content 2
- - name: tab_cta2
- label: Associated tab CTA 2
- - name: cta_title1
- label: CTA title 1
- - name: cta_link1
- label: CTA link 1
- - name: cta_image1
- label: CTA product image 1
- - name: cta_title2
- label: CTA title 2
- - name: cta_link2
- label: CTA link 2
- - name: cta_image2
- label: CTA product image 2
- process:
- # Product type set to 'default'.
- type:
- plugin: default_value
- default_value: default
- # UID set to 1.
- uid:
- plugin: default_value
- default_value: 1
- # Use the title provided in the CSV as the title.
- title: title
- # Use the description provided in the CSV as the value for the body field.
- body/value: description
- # Use status provided in the CSV as the status for this product.
- status: status
- # Use store 1 as the default store.
- stores/target_id:
- plugin: default_value
- default_value: 1
- # Taxonomy vocabulary 'Category'.
- # Entity reference field, multi-valued.
- field_category:
- -
- plugin: skip_on_empty
- source: term1
- method: process
- -
- plugin: migration_lookup
- migration: csv_example_taxonomy_term
- source:
- - vocabulary_name1
- - term1
- # Taxonomy vocabulary 'Season'.
- # Entity reference field, multi-valued.
- field_season:
- -
- plugin: skip_on_empty
- source: term2
- method: process
- -
- plugin: migration_lookup
- migration: csv_example_taxonomy_term
- source:
- - vocabulary_name2
- - term2
- # Use a custom process plugin to get all the variations for this product.
- variations:
- plugin: migration_lookup
- migration: csv_example_product_variation
- source: variation_sku
- # A list of suggested products is created in two steps. First, get the three possible related items from the source
- # and use a custom process plugin to build an array of related producs, excluding any empty values.
- suggested_product:
- plugin: csv_example_suggested_products
- source:
- - related1
- - related2
- - related3
- # Second, use the array created above to populate the suggested products field. The sub_process plugin will execute
- # the migration_lookup for each value in the array.
- # Entity reference field, unlimited values.
- field_suggested_products:
- plugin: sub_process
- source: '@suggested_product'
- process:
- target_id:
- plugin: migration_lookup
- migration: csv_example_product
- source: '0'
- # The video field is a single valued entity reference revision field. It requires a target_id and revision_id. These
- # are obtained by using the migration_lookup process plugin with the input being the title of the video to migrate.
- # The output from migration_lookup will be the destination id for that migration, in this case, the target_id and the
- # target_revision_id. These can be extracted from the array and put in the correct field value. And, of course, skip
- # the processing of the video if the video was not migrated.
- field_product_video/target_id:
- -
- plugin: migration_lookup
- migration: csv_example_paragraph_product_video
- no_stub: true
- source:
- - title
- -
- plugin: skip_on_empty
- method: process
- -
- plugin: extract
- index:
- - '0'
- # See comment above for 'field_product_video/target_id:'
- field_product_video/target_revision_id:
- -
- plugin: migration_lookup
- migration: csv_example_paragraph_product_video
- no_stub: true
- source:
- - title
- -
- plugin: skip_on_empty
- method: process
- -
- plugin: extract
- index:
- - '1'
- combination_tab:
- plugin: get
- source:
- - tab_title1
- - tab_title2
- # Paragraph field.
- field_tab:
- -
- plugin: migration_lookup
- migration: csv_example_paragraph_tab
- no_stub: true
- source: '@combination_tab'
- -
- plugin: skip_on_empty
- method: process
- -
- plugin: sub_process
- process:
- target_id: '0'
- target_revision_id: '1'
- combination_cta:
- plugin: get
- source:
- - cta_title1
- - cta_title2
- # Paragraph field.
- # Entity reference revisions, Single value
- field_desc_cta:
- -
- plugin: migration_lookup
- migration: csv_example_paragraph_cta
- no_stub: true
- source: '@combination_cta'
- -
- plugin: skip_on_empty
- method: process
- -
- plugin: sub_process
- process:
- target_id: '0'
- target_revision_id: '1'
- destination:
- plugin: 'entity:commerce_product'
- migration_dependencies:
- required:
- - csv_example_taxonomy_term
- - csv_example_paragraph_with_paragraph_reference
- - csv_example_video
- - csv_example_product_variation