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{
"total_issues": 16,
"issues": [
{
"file": "dataform-jaffle-shop-main15/definitions/intermediate/staging/stg_products.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: Your SQLX code looks correct except for the following issue.\n\nYou are using a dataform helper function (`cents_to_dollars`) in your SQLX file. However, you have not defined this function in your code or referenced it from other files. \n\nIf the `cents_to_dollars` function is already defined elsewhere then you must export it from that file and import it in your current SQLX file. Otherwise, you should define the function in the SQLX file where you want to use it.\n\nAssuming that cents_to_dollars function divides the input by 100, here is the corrected SQLX code:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\njs {\n function cents_to_dollars(cents) {\n return `cast(${cents} as float64) / 100`;\n }\n}\n\nwith\n\nsource as (\n select * from ${ref('raw_products')}\n),\n\nrenamed as (\n select\n ---------- ids\n sku as product_id,\n\n ---------- text\n name as product_name,\n type as product_type,\n description as product_description,\n\n ---------- numerics\n ${cents_to_dollars('price')} as product_price,\n\n ---------- booleans\n coalesce(type = 'jaffle', false) as is_food_item,\n coalesce(type = 'beverage', false) as is_drink_item\n from source\n)\n\nselect * from renamed\n```\n\nIn the corrected version of your SQLX file, I've added the js block with the `cents_to_dollars` function to convert cents to dollars. Please keep in mind that you may need to adjust the function definition based on your needs."
},
{
"file": "dataform-jaffle-shop-main15/definitions/intermediate/staging/stg_orders.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The code provided is almost valid; there is only a minor mistake in the DATE_TRUNC function in the \"renamed\" CTE. The DATE_TRUNC function needs two arguments: the first one is the timestamp unit (like 'day', 'hour', etc.) and the second one is the timestamp column. \n\nHere is the corrected code:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\nsource as (\n\n select * from ${ref('raw_orders')}\n\n),\n\nrenamed as (\n\n select\n\n ---------- ids\n id as order_id,\n store_id as location_id,\n customer as customer_id,\n\n ---------- numerics\n subtotal as subtotal_cents,\n tax_paid as tax_paid_cents,\n order_total as order_total_cents,\n {{ cents_to_dollars('subtotal') }} as subtotal,\n {{ cents_to_dollars('tax_paid') }} as tax_paid,\n {{ cents_to_dollars('order_total') }} as order_total,\n\n ---------- timestamps\n DATE_TRUNC('day', ordered_at) as ordered_at\n\n from source\n\n)\n\nselect * from renamed\n```\n\nI switched the 'day' and 'ordered_at' position in DATE_TRUNC function as DATE_TRUNC needs the first argument to be the timestamp unit and second argument to be the timestamp itself."
},
{
"file": "dataform-jaffle-shop-main15/definitions/intermediate/staging/stg_supplies.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The SQLX snippet you shared is almost correct except for the usage of a wrong function `dbt_utils.generate_surrogate_key(['id', 'sku'])`.\n\nDBT functions typically cannot be used in Dataform directly, so we would need to create or modify a function for a surrogate key.\n\nIf you want to concatenate 'id' and 'sku' fields together to generate a surrogate key, you can simply use the CONCAT function in SQL.\n\nThe corrected code is as provided below:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\nsource as (\n\n select * from ${ref('raw_supplies')}\n\n),\n\nrenamed as (\n\n select\n\n ---------- ids\n CONCAT(id, sku) as supply_uuid,\n id as supply_id,\n sku as product_id,\n\n ---------- text\n name as supply_name,\n\n ---------- numerics\n cents_to_dollars(cost) as supply_cost,\n\n ---------- booleans\n perishable as is_perishable_supply\n\n from source\n\n)\n\nselect * from renamed\n```\n\nPlease note the change `{{ dbt_utils.generate_surrogate_key(['id', 'sku']) }}` to `CONCAT(id, sku) `, and `{{ cents_to_dollars('cost') }}` to `cents_to_dollars(cost)`. You need to be sure that the function `cents_to_dollars()` is defined in your project."
},
{
"file": "dataform-jaffle-shop-main15/definitions/intermediate/staging/stg_customers.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The provided Dataform SQLX code is valid, so no changes are necessary. \n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\nsource as (\n\n select * from ${ref('raw_customers')}\n\n),\n\nrenamed as (\n\n select\n\n ---------- ids\n id as customer_id,\n\n ---------- text\n name as customer_name\n\n from source\n\n)\n\nselect * from renamed\n```"
},
{
"file": "dataform-jaffle-shop-main15/definitions/intermediate/staging/stg_order_items.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The provided Dataform SQLX code appears to be correct, assuming that the tables it references ('raw_items') exist with the specified columns. \n\nTo confirm, the returned code is below:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\nsource as (\n\n select * from ${ref('raw_items')}\n\n),\n\nrenamed as (\n\n select\n\n ---------- ids\n id as order_item_id,\n order_id,\n sku as product_id\n\n from source\n\n)\n\nselect * from renamed\n```"
},
{
"file": "dataform-jaffle-shop-main15/definitions/intermediate/staging/stg_locations.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The provided Dataform SQLX code is valid. There are no errors in the code.\n\nHere is the same code:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\nsource as (\n\n select * from ${ref('raw_stores')}\n\n),\n\nrenamed as (\n\n select\n\n ---------- ids\n id as location_id,\n\n ---------- text\n name as location_name,\n\n ---------- numerics\n tax_rate,\n\n ---------- timestamps\n DATE_TRUNC('day', opened_at) as opened_date\n\n from source\n\n)\n\nselect * from renamed\n```\nHowever, please note that the DATE_TRUNC function might not work in some SQL environments as expected. If you encounter any issues, you should modify the function according to your SQL version.\nThe function is correct for PostgreSQL, BigQuery, and a few other SQL systems that support 'day' truncation. In other systems you might need to use a different syntax, like MS SQL:\n`CAST(opened_at As DATE) as opened_date`"
},
{
"file": "dataform-jaffle-shop-main15/definitions/intermediate/staging/.ipynb_checkpoints/stg_orders-checkpoint.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The SQLX code you provided is almost correct. However, there's one problem, the `DATE_TRUNC` function is used incorrectly. The correct syntax for `DATE_TRUNC` is `DATE_TRUNC('unit', timestamp)`. So, your SQLX should look like so:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\nsource as (\n\n select * from ${ref('raw_orders')}\n\n),\n\nrenamed as (\n\n select\n\n ---------- ids\n id as order_id,\n store_id as location_id,\n customer as customer_id,\n\n ---------- numerics\n subtotal as subtotal_cents,\n tax_paid as tax_paid_cents,\n order_total as order_total_cents,\n {{ cents_to_dollars('subtotal') }} as subtotal,\n {{ cents_to_dollars('tax_paid') }} as tax_paid,\n {{ cents_to_dollars('order_total') }} as order_total,\n\n ---------- timestamps\n DATE_TRUNC('day', ordered_at) as ordered_at\n\n from source\n\n)\n\nselect * from renamed\n```\n\nHere, I swapped the positions of `'day'` and `ordered_at` in the `DATE_TRUNC` function."
},
{
"file": "dataform-jaffle-shop-main15/definitions/intermediate/staging/.ipynb_checkpoints/stg_order_items-checkpoint.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The provided Dataform SQLX code is valid. Here is the valid version exactly as you provided:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\nsource as (\n\n select * from ${ref('raw_items')}\n\n),\n\nrenamed as (\n\n select\n\n ---------- ids\n id as order_item_id,\n order_id,\n sku as product_id\n\n from source\n\n)\n\nselect * from renamed\n```\nThis script successfully creates a table type dataset by selecting all data from the 'raw_items' referenced dataset, then renaming certain columns in the table. The common table expressions (CTEs) help to organize the queries and split the script into readable parts."
},
{
"file": "dataform-jaffle-shop-main15/definitions/intermediate/staging/.ipynb_checkpoints/stg_customers-checkpoint.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The provided Dataform SQLX code is valid. Therefore, no corrections are needed. The code is included again below without any modifications:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\nsource as (\n\n select * from ${ref('raw_customers')}\n\n),\n\nrenamed as (\n\n select\n\n ---------- ids\n id as customer_id,\n\n ---------- text\n name as customer_name\n\n from source\n\n)\n\nselect * from renamed\n```\nIn this code, a common table expression (CTE) named \"source\" is declared to refer to the 'raw_customers' table, and another CTE \"renamed\" is declared to rename the columns 'id' and 'name' to 'customer_id' and 'customer_name' respectively of the 'source' table. The final select statement is fetching all the records from the 'renamed' CTE."
},
{
"file": "dataform-jaffle-shop-main15/definitions/output/marts/metricflow_time_spine.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The Dataform SQLX you provided isn't valid due to using `dbt_date.get_base_dates` function which isn't supported by Dataform and some problems with syntax. \n\nAlso, the `cast()` function provided for `date_day` is a little vague, as we're not provided with the format that the dates should be cast to. But for now, let's consider it will be cast to `YYYY-MM-DD` format. Here's the corrected version:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\n-- metricflow_time_spine.sqlx\nwith\n\ndays as (\n select \n dateadd('day', row_number() over (order by true) - 1, '2000-01-01') as date_day\n from \n generate_series(1, 365*10)\n),\n\ncast_to_date as (\n\n select cast(format('%s', date_day) as date) as date_day\n\n from days\n\n)\n\nselect * from cast_to_date\n```\nI corrected the syntax used to generate the dates in `days` Common Table Expression (CTE). We're using `dateadd` and `generate_series` to create a series of dates in the ISO format (`YYYY-MM-DD`). The `generate_series` function generates a set of rows that represents a set of generated days. \n\nThen, in `cast_to_date` CTE, we are casting `date_day` to date format using Dataform's `format` and `cast` functions."
},
{
"file": "dataform-jaffle-shop-main15/definitions/output/marts/supplies.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The code you've provided is valid Dataform SQLX code. Here it is reiterated below:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith supplies as (\n select * from ${ref('stg_supplies')}\n)\n\nselect * from supplies\n```\n\nThis script uses a `with` clause to create a \"supplies\" alias for the result of `select * from stg_supplies`, and then selects everything from this alias. The `config` block at the top specifies that the script's output should be saved as a table."
},
{
"file": "dataform-jaffle-shop-main15/definitions/output/marts/orders.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The Dataform SQLX code provided is valid. So, there's no need for any corrections.\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\norders as (\n select * from ${ref('stg_orders')}\n),\n\norder_items as (\n select * from ${ref('order_items')}\n),\n\norder_items_summary as (\n select\n order_id,\n sum(supply_cost) as order_cost,\n sum(product_price) as order_items_subtotal,\n count(order_item_id) as count_order_items,\n sum(\n case\n when is_food_item then 1\n else 0\n end\n ) as count_food_items,\n sum(\n case\n when is_drink_item then 1\n else 0\n end\n ) as count_drink_items\n from order_items\n group by 1\n),\n\ncompute_booleans as (\n select\n orders.*,\n order_items_summary.order_cost,\n order_items_summary.order_items_subtotal,\n order_items_summary.count_food_items,\n order_items_summary.count_drink_items,\n order_items_summary.count_order_items,\n order_items_summary.count_food_items > 0 as is_food_order,\n order_items_summary.count_drink_items > 0 as is_drink_order\n from orders\n left join\n order_items_summary\n on orders.order_id = order_items_summary.order_id\n),\n\ncustomer_order_count as (\n select\n *,\n row_number() over (\n partition by customer_id\n order by ordered_at asc\n ) as customer_order_number\n from compute_booleans\n)\n\nselect * from customer_order_count\n```"
},
{
"file": "dataform-jaffle-shop-main15/definitions/output/marts/products.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The provided Dataform SQLX configuration and query is mostly valid, but it's lacking the `js` notation which is required to specify JavaScript code such as `config{}`. Also, I would recommend defining aliases for the table fields in `stg_products` to make sure there are no conflicts or ambiguities, as Dataform can't resolve when two fields have the same name.\n\nHere is the corrected code:\n\n```sqlx\njs {\n config {\n type: \"table\"\n }\n}\n\nwith products as (\n select \n field1 as alias1,\n field2 as alias2,\n ...\n fieldN as aliasN\n from ${ref('stg_products')}\n)\n\nselect * from products\n```\n\nThis code has been corrected for better safety and to avoid potential issues. You would replace field1, field2, ..., fieldN by the actual column names in your `stg_products` table and alias1, alias2, ..., aliasN by the desired aliases for these columns."
},
{
"file": "dataform-jaffle-shop-main15/definitions/output/marts/order_items.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The given Dataform SQLX code looks valid. There doesn't seem to be any syntax errors or logical mistakes. \n\nSo, according to the requirement, \"If it's valid, just respond with 'Valid'\", the response is: \"Valid\"."
},
{
"file": "dataform-jaffle-shop-main15/definitions/output/marts/locations.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: The provided Dataform SQLX code is completely valid. Therefore, no correction is needed. \n\nHere is the original code for reference:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\nlocations as (\n\n select * from ${ref('stg_locations')}\n\n)\n\nselect * from locations\n```\nThis SQLX dataset constructs a table using rows selected from the stg_locations table, wrapped in a common table expression (CTE) named 'locations'."
},
{
"file": "dataform-jaffle-shop-main15/definitions/output/marts/customers.sqlx",
"type": "Syntax Correction",
"description": "The following changes were made: Your Dataform SQLX code is valid. Here is your original code:\n\n```sqlx\nconfig {\n type: \"table\"\n}\n\nwith\n\ncustomers as (\n\n select * from ${ref('stg_customers')}\n\n),\n\norders as (\n\n select * from ${ref('orders')}\n\n),\n\ncustomer_orders_summary as (\n\n select\n orders.customer_id,\n\n count(distinct orders.order_id) as count_lifetime_orders,\n count(distinct orders.order_id) > 1 as is_repeat_buyer,\n min(orders.ordered_at) as first_ordered_at,\n max(orders.ordered_at) as last_ordered_at,\n sum(orders.subtotal) as lifetime_spend_pretax,\n sum(orders.tax_paid) as lifetime_tax_paid,\n sum(orders.order_total) as lifetime_spend\n\n from orders\n\n group by 1\n\n),\n\njoined as (\n\n select\n customers.*,\n\n customer_orders_summary.count_lifetime_orders,\n customer_orders_summary.first_ordered_at,\n customer_orders_summary.last_ordered_at,\n customer_orders_summary.lifetime_spend_pretax,\n customer_orders_summary.lifetime_tax_paid,\n customer_orders_summary.lifetime_spend,\n\n case\n when customer_orders_summary.is_repeat_buyer then 'returning'\n else 'new'\n end as customer_type\n\n from customers\n\n left join customer_orders_summary\n on customers.customer_id = customer_orders_summary.customer_id\n\n)\n\nselect * from joined\n```"
}
]
}