Upgrade dbt generate artifact types

warehouse/Dockerfile

@@ -21,6 +21,7 @@ RUN poetry export -f requirements.txt --without-hashes --output requirements.txt
 
 COPY ./dbt_project.yml /app/dbt_project.yml
 COPY ./packages.yml /app/packages.yml
+COPY ./profiles.yml /app/profiles.yml
 RUN dbt deps
 
 COPY . /app

warehouse/models/mart/transit_database/_mart_transit_database.yml

@@ -386,7 +386,6 @@ models:
       For best results, join with reference to a specific date, and make sure to choose a specific
       output grain (organizations, services, customer-facing vs. not); you will likely need to filter
       or group to get the desired output.
-    tests:
     columns:
       - *key
       - name: service_key

warehouse/models/staging/audit/stg_audit__cloudaudit_googleapis_com_data_access.sql

@@ -7,7 +7,6 @@
             'data_type': 'date',
             'granularity': 'day',
         },
-        partitions=['current_date()'],
         cluster_by='job_type',
     )
 }}
@@ -21,13 +20,15 @@ WITH latest AS (
     FROM cal-itp-data-infra.audit.cloudaudit_googleapis_com_data_access_{{ yesterday.strftime('%Y%m%d') }}
 ),
 
-everything AS (
-    {% set start_date = modules.datetime.date(year=2022, month=4, day=11) %}
-    {% set days = (modules.datetime.date.today() - start_date).days + 1 %}
+everything AS ( -- noqa: ST03
+    -- without this limited lookback, we'd eventually exhaust query resources on full refreshes
+    -- since we might end up unioning hundreds of tables
+    -- technically we have data back to 2022-04-11
+    {% set days = 90 %}
 
-    {% for add in range(days) %}
+    {% for day in range(days) %}
 
-    {% set current = start_date + modules.datetime.timedelta(days=add) %}
+    {% set current = modules.datetime.date.today() - modules.datetime.timedelta(days=day) %}
 
     SELECT *
     FROM cal-itp-data-infra.audit.cloudaudit_googleapis_com_data_access_{{ current.strftime('%Y%m%d') }}
@@ -79,9 +80,9 @@ stg_audit__cloudaudit_googleapis_com_data_access AS (
             SECOND
         ) AS duration_in_seconds,
         JSON_VALUE_ARRAY(job, '$.jobStats.queryStats.referencedTables') as referenced_tables,
-        CAST(JSON_VALUE(job, '$.jobStats.queryStats.totalBilledBytes') AS INT64) AS total_billed_bytes,
-        5.0 * CAST(JSON_VALUE(job, '$.jobStats.queryStats.totalBilledBytes') AS INT64) / POWER(2, 40) AS estimated_cost_usd, -- $5/TB
-        CAST(JSON_VALUE(job, '$.jobStats.totalSlotMs') AS INT64) / 1000 AS total_slots_seconds,
+        CAST(JSON_VALUE(job, '$.jobStats.queryStats.totalBilledBytes') AS int64) AS total_billed_bytes,
+        5.0 * CAST(JSON_VALUE(job, '$.jobStats.queryStats.totalBilledBytes') AS int64) / POWER(2, 40) AS estimated_cost_usd, -- $5/TB
+        CAST(JSON_VALUE(job, '$.jobStats.totalSlotMs') AS int64) / 1000 AS total_slots_seconds,
 
         JSON_VALUE(metadata, '$.tableDataRead.jobName') as table_data_read_job_name,
 

warehouse/mypy.ini

@@ -0,0 +1,3 @@
+[mypy]
+plugins = pydantic.mypy, sqlmypy
+disable_error_code = assignment

warehouse/pyproject.toml

@@ -29,12 +29,11 @@ networkx = {version = "<3", extras = ["default"]}
 # export CFLAGS="-I $(brew --prefix graphviz)/include"
 # export LDFLAGS="-L $(brew --prefix graphviz)/lib"
 pygraphviz = "^1.10"
-dbt-bigquery = "^1.4.3"
 palettable = "^3.3.0"
+dbt-bigquery = "1.6.0b1"
 
 [tool.poetry.group.dev.dependencies]
 black = "^22.12.0"
-mypy = "^0.991"
 isort = "^5.11.4"
 types-tqdm = "^4.64.7"
 types-requests = "^2.28.11"
@@ -46,10 +45,8 @@ datamodel-code-generator = "^0.17.1"
 sqlfluff = "^2.0.2"
 sqlfluff-templater-dbt = "^2.0.2"
 ipdb = "^0.13.13"
+mypy = "^1.2.0"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
-
-[tool.mypy]
-plugins = "sqlmypy"