Editable Index

[kaise-lafrai]

fixes [org/repo/issue#]

• Test coverage exists
• Documentation exists

QA Steps

Test Data File:
test_data.csv

PART 1

• Navigate to form /node/add/data?schema=data-dictionary
• Enter a Title: Data Dictionary and Index
• Select 'Add Field'
• Enter the following Name: termination_date
• Enter the following Title: Termination Date
• Select 'date' for the Data Type
• Select 'other' Format
• Enter the following for Other Format: %m/%d/%Y
• Enter the following description: Termination Date
• Select Add
• Select Add field
• Enter the following Name: fda_approval_date
• Enter the following Title: FDA Approval Date
• Select 'date' for the Data Type
• Select 'other' Format
• Enter the following for Other Format: %m/%d/%Y
• Enter the following description: FDA Approval Date
• Select Add
• Select Add Index
• Enter Name: Index
• Select Add field within the 'Fields' fieldset
• Enter the following Name: termination_date
• Enter the following Length: 20
• Select Add field to enter another field
• Enter the following Name: fda_approval_date
• Enter the following Length: 20
• Select Add
• Select Submit Index
• Confirm the Data Dictionary Fields Added are correct
• Confirm the Indexes and fields added are correct
• Save the node

PART 2

• Navigate to: /node/add/data?schema=dataset
• Enter a Title: Dataset Test
• Enter a Description: Description Test
• Enter a Last Update date and time
• Enter a Publisher Name
• Enter a Contact Name and Email
• Enter a Tag under Tags
• Enter the following for File Title:
• Enter the following for File Description
• Enter the following File Format: CSV
• Upload a Data File, you can use the Test Data File provided
• Save the dataset
• Navigate back to the previously created Data Dictionary and Index from PART 1
• Grab the identifier. It will look something like this example: fc034f0d-c96d-484e-b1e4-79a9aed7c2e6
• Navigate to the endpoint api/1/metastore/schemas/data-dictionary/items/{identifier goes here}
• Confirm the endpoint json looks like this:
  { "identifier": "fc034f0d-c96d-484e-b1e4-79a9aed7c2e6", "data": { "title": "Data Dictionary and Index", "fields": [ { "name": "termination_date", "title": "Termination Date", "type": "date", "format": "%m/%d/%Y", "description": "Termination Date" }, { "name": "fda_approval_date", "title": "FDA Approval Date", "type": "date", "format": "%m/%d/%Y", "description": "FDA Approval Date" } ], "indexes": [ { "description": "Data Index", "type": "index", "fields": [ { "name": "termination_date", "length": 20 }, { "name": "fda_approval_date", "length": 20 } ] } ] } }

PART 3

• Navigate to /admin/dkan/data-dictionary/settings
• Select Dictionary Mode : Sitewide
• Enter the identifier into the Sitewide Dictionary ID
• Save Configuration

PART 4

• Navigate to /admin/dkan/datastore/status
• Confirm you see the Dataset row with the Title 'Dataset Test' from PART 2 and that the FETCH, STORE and POST IMPORT are all in 'Waiting'
• You should now run CRON twice
• Navigate to /admin/dkan/datastore/status
• Confirm the FETCH, STORE, POST IMPORT are all in 'done'

PART 5

• Navigate to /admin/dkan/datastore/status
• Grab the Dataset uuid from the row you created
• Navigate to your terminal and use the following command to see the dataset info: ddev drush dkan:dataset-info {{uuid here}}
• Take note of the "table_name"
• Navigate to your db 'example: ddev drush sqlc'
• Enter the following sql describe {{table_name goes here}};
• Confirm that the termination_date and fda_approval_date has a type of date

PART 6

• In the same terminal enter the following sql: show index from datastore_0dbbe7015bf8d423d859697cff8fe729;
• Confirm you see the index created for both the termination_date and fda_approval_date

[rovcase]

Remove at later date.

[rovcase]

Clean up later.

[rovcase]

Clean up later.

[rovcase]

Clean up later.

[rovcase]

Great work Kaise! I just put notes for future reference to mark commented out code for cleaning.