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
# Which Problems Are Solved
Add the ability to update the timestamp when MFA initialization was last
skipped.
Get User By ID now also returns the timestamps when MFA setup was last
skipped.
# How the Problems Are Solved
- Add a `HumanMFAInitSkipped` method to the `users/v2` API.
- MFA skipped was already projected in the `auth.users3` table. In this
PR the same column is added to the users projection. Event handling is
kept the same as in the `UserView`:
<details>
62804ca45f/internal/user/repository/view/model/user.go (L243-L377)
</details>
# Additional Changes
- none
# Additional Context
- Closes https://github.com/zitadel/zitadel/issues/9197
92 lines
2.7 KiB
SQL
92 lines
2.7 KiB
SQL
with usr as (
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select u.id, u.creation_date, u.change_date, u.sequence, u.state, u.resource_owner, u.username, n.login_name as preferred_login_name
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from projections.users14 u
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left join projections.login_names3 n on u.id = n.user_id and u.instance_id = n.instance_id
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where u.id = $1 and u.state = 1 -- only allow active users
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and u.instance_id = $2
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and n.is_primary = true
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),
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human as (
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select $1 as user_id, row_to_json(r) as human from (
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select first_name, last_name, nick_name, display_name, avatar_key, preferred_language, gender, email, is_email_verified, phone, is_phone_verified
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from projections.users14_humans
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where user_id = $1
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and instance_id = $2
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) r
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),
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machine as (
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select $1 as user_id, row_to_json(r) as machine from (
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select name, description
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from projections.users14_machines
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where user_id = $1
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and instance_id = $2
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) r
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),
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-- find the user's metadata
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metadata as (
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select json_agg(row_to_json(r)) as metadata from (
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select creation_date, change_date, sequence, resource_owner, key, encode(value, 'base64') as value
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from projections.user_metadata5
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where user_id = $1
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and instance_id = $2
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) r
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),
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-- get all user grants, needed for the orgs query
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user_grants as (
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select id, grant_id, state, creation_date, change_date, sequence, user_id, roles, resource_owner, project_id
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from projections.user_grants5
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where user_id = $1
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and instance_id = $2
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and project_id = any($3)
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and state = 1
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{{ if . -}}
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and resource_owner = any($4)
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{{- end }}
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),
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-- filter all orgs we are interested in.
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orgs as (
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select id, name, primary_domain
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from projections.orgs1
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where id in (
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select resource_owner from user_grants
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union
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select resource_owner from usr
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)
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and instance_id = $2
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),
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-- find the user's org
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user_org as (
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select row_to_json(r) as organization from (
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select o.id, o.name, o.primary_domain
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from orgs o
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join usr u on o.id = u.resource_owner
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) r
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),
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-- join user grants to orgs, projects and user
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grants as (
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select json_agg(row_to_json(r)) as grants from (
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select g.*,
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o.name as org_name, o.primary_domain as org_primary_domain,
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p.name as project_name, u.resource_owner as user_resource_owner
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from user_grants g
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left join orgs o on o.id = g.resource_owner
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left join projections.projects4 p on p.id = g.project_id
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left join usr u on u.id = g.user_id
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where p.instance_id = $2
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) r
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)
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-- build the final result JSON
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select json_build_object(
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'user', (
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select row_to_json(r) as usr from (
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select u.*, h.human, m.machine
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from usr u
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left join human h on u.id = h.user_id
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left join machine m on u.id = m.user_id
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) r
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),
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'org', (select organization from user_org),
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'metadata', (select metadata from metadata),
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'user_grants', (select grants from grants)
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);
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