{{ config(
    indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
    unique_key = '_airbyte_ab_id',
    schema = "_airbyte_unibag",
    tags = [ "top-level-intermediate" ]
) }}
-- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
-- depends_on: {{ source('unibag', '_airbyte_raw_team_histories') }}
select
    {{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
    {{ json_extract_scalar('_airbyte_data', ['date'], ['date']) }} as {{ adapter.quote('date') }},
    {{ json_extract_scalar('_airbyte_data', ['team'], ['team']) }} as team,
    {{ json_extract_scalar('_airbyte_data', ['level'], ['level']) }} as {{ adapter.quote('level') }},
    {{ json_extract_scalar('_airbyte_data', ['leader'], ['leader']) }} as leader,
    {{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
    {{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
    {{ json_extract_scalar('_airbyte_data', ['statistic'], ['statistic']) }} as statistic,
    _airbyte_ab_id,
    _airbyte_emitted_at,
    {{ current_timestamp() }} as _airbyte_normalized_at
from {{ source('unibag', '_airbyte_raw_team_histories') }} as table_alias
-- team_histories
where 1 = 1