Dependabot/pip/black 24.1.1 fix (#5027)

* Bump black from 23.10.1 to 24.1.1

Bumps [black](https://github.com/psf/black) from 23.10.1 to 24.1.1.
- [Release notes](https://github.com/psf/black/releases)
- [Changelog](https://github.com/psf/black/blob/main/CHANGES.md)
- [Commits](https://github.com/psf/black/compare/23.10.1...24.1.1)

---
updated-dependencies:
- dependency-name: black
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>

* Reformat files with black to fix dependabot update.

* Reformat with black 24.1.1. Update test dag with required space.

* Update test dags.

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

bigquery_etl/__init__.py

@@ -1,4 +1,5 @@
 """BigQuery ETL."""
+
 from pathlib import Path
 
 from .config import ConfigLoader

bigquery_etl/alchemer/survey.py

@@ -1,4 +1,5 @@
 """Import data from alchemer (surveygizmo) surveys into BigQuery."""
+
 import datetime as dt
 import json
 import re

bigquery_etl/backfill/validate.py

@@ -1,4 +1,5 @@
 """Validate backfill entries."""
+
 from pathlib import Path
 from typing import List
 

bigquery_etl/cli/alchemer.py

@@ -1,4 +1,5 @@
 """bigquery-etl CLI alchemer command."""
+
 from datetime import date, datetime, timedelta
 
 import rich_click as click

bigquery_etl/cli/backfill.py

@@ -1,4 +1,5 @@
 """bigquery-etl CLI backfill command."""
+
 import json
 import sys
 import tempfile

bigquery_etl/cli/check.py

@@ -1,4 +1,5 @@
 """bigquery-etl CLI check command."""
+
 import re
 import subprocess
 import sys

bigquery_etl/cli/generate.py

@@ -1,4 +1,5 @@
 """bigquery-etl CLI generate command."""
+
 import importlib.util
 import sys
 from inspect import getmembers

bigquery_etl/cli/metadata.py

@@ -1,4 +1,5 @@
 """bigquery-etl CLI metadata command."""
+
 from pathlib import Path
 from typing import Optional
 

bigquery_etl/cli/query.py

@@ -1858,9 +1858,9 @@ def _update_query_schema(
                     f"{project_name}.{tmp_dataset}.{table_name}_{random_str(12)}"
                 )
                 existing_schema.deploy(tmp_identifier)
-                tmp_tables[
-                    f"{project_name}.{dataset_name}.{table_name}"
-                ] = tmp_identifier
+                tmp_tables[f"{project_name}.{dataset_name}.{table_name}"] = (
+                    tmp_identifier
+                )
                 existing_schema.to_yaml_file(existing_schema_path)
 
     # replace temporary table references
@@ -1916,9 +1916,11 @@ def _update_query_schema(
                 field=table.time_partitioning.field,
                 partition_type=table.time_partitioning.type_.lower(),
                 required=table.time_partitioning.require_partition_filter,
-                expiration_days=table.time_partitioning.expiration_ms / 86400000.0
-                if table.time_partitioning.expiration_ms
-                else None,
+                expiration_days=(
+                    table.time_partitioning.expiration_ms / 86400000.0
+                    if table.time_partitioning.expiration_ms
+                    else None
+                ),
             )
             click.echo(f"Partitioning metadata added to {metadata_file_path}")
 

bigquery_etl/cli/view.py

@@ -1,4 +1,5 @@
 """bigquery-etl CLI view command."""
+
 import logging
 import re
 import string

bigquery_etl/docs/mozfun/generate_mozfun_docs.py

@@ -1,4 +1,5 @@
 """Generate documentation for mozfun."""
+
 import itertools
 import os
 import re

bigquery_etl/glam/cli.py

@@ -1,4 +1,5 @@
 """Tools for GLAM ETL."""
+
 import os
 from pathlib import Path
 

bigquery_etl/glam/clients_daily_histogram_aggregates.py

@@ -1,4 +1,5 @@
 """clients_daily_histogram_aggregates query generator."""
+
 import argparse
 import sys
 from typing import Dict, List

bigquery_etl/glam/generate.py

@@ -1,4 +1,5 @@
 """Generate templated views."""
+
 from argparse import ArgumentParser, Namespace
 from dataclasses import dataclass
 from functools import partial

bigquery_etl/glam/models.py

@@ -1,4 +1,5 @@
 """Variables for templated SQL."""
+
 from .utils import compute_datacube_groupings, get_custom_distribution_metadata
 
 

bigquery_etl/glam/utils.py

@@ -1,4 +1,5 @@
 """Utilities for the GLAM module."""
+
 import json
 import subprocess
 from collections import namedtuple

bigquery_etl/schema/stable_table_schema.py

@@ -1,4 +1,5 @@
 """Methods for working with stable table schemas."""
+
 import json
 import tarfile
 import urllib.request

bigquery_etl/util/common.py

@@ -1,4 +1,5 @@
 """Generic utility functions."""
+
 import glob
 import logging
 import os

requirements.in

@@ -1,6 +1,6 @@
 attrs==23.2.0
 authlib==1.3.0
-black==23.10.1
+black==24.1.1
 cattrs==23.2.3
 click==8.1.7
 exceptiongroup==1.2.0 # for backwards compatibility with python < 3.11

requirements.txt

@@ -110,25 +110,29 @@ babel==2.12.1 \
     --hash=sha256:b4246fb7677d3b98f501a39d43396d3cafdc8eadb045f4a31be01863f655c610 \
     --hash=sha256:cc2d99999cd01d44420ae725a21c9e3711b3aadc7976d6147f622d8581963455
     # via mkdocs-material
-black==23.10.1 \
-    --hash=sha256:037e9b4664cafda5f025a1728c50a9e9aedb99a759c89f760bd83730e76ba884 \
-    --hash=sha256:1b917a2aa020ca600483a7b340c165970b26e9029067f019e3755b56e8dd5916 \
-    --hash=sha256:1f8ce316753428ff68749c65a5f7844631aa18c8679dfd3ca9dc1a289979c258 \
-    --hash=sha256:33d40f5b06be80c1bbce17b173cda17994fbad096ce60eb22054da021bf933d1 \
-    --hash=sha256:3f157a8945a7b2d424da3335f7ace89c14a3b0625e6593d21139c2d8214d55ce \
-    --hash=sha256:5ed45ac9a613fb52dad3b61c8dea2ec9510bf3108d4db88422bacc7d1ba1243d \
-    --hash=sha256:6d23d7822140e3fef190734216cefb262521789367fbdc0b3f22af6744058982 \
-    --hash=sha256:7670242e90dc129c539e9ca17665e39a146a761e681805c54fbd86015c7c84f7 \
-    --hash=sha256:7b4d10b0f016616a0d93d24a448100adf1699712fb7a4efd0e2c32bbb219b173 \
-    --hash=sha256:7cb5936e686e782fddb1c73f8aa6f459e1ad38a6a7b0e54b403f1f05a1507ee9 \
-    --hash=sha256:7d56124b7a61d092cb52cce34182a5280e160e6aff3137172a68c2c2c4b76bcb \
-    --hash=sha256:840015166dbdfbc47992871325799fd2dc0dcf9395e401ada6d88fe11498abad \
-    --hash=sha256:9c74de4c77b849e6359c6f01987e94873c707098322b91490d24296f66d067dc \
-    --hash=sha256:b15b75fc53a2fbcac8a87d3e20f69874d161beef13954747e053bca7a1ce53a0 \
-    --hash=sha256:cfcce6f0a384d0da692119f2d72d79ed07c7159879d0bb1bb32d2e443382bf3a \
-    --hash=sha256:d431e6739f727bb2e0495df64a6c7a5310758e87505f5f8cde9ff6c0f2d7e4fe \
-    --hash=sha256:e293e4c2f4a992b980032bbd62df07c1bcff82d6964d6c9496f2cd726e246ace \
-    --hash=sha256:ec3f8e6234c4e46ff9e16d9ae96f4ef69fa328bb4ad08198c8cee45bb1f08c69
+black==24.1.1 \
+    --hash=sha256:0269dfdea12442022e88043d2910429bed717b2d04523867a85dacce535916b8 \
+    --hash=sha256:07204d078e25327aad9ed2c64790d681238686bce254c910de640c7cc4fc3aa6 \
+    --hash=sha256:08b34e85170d368c37ca7bf81cf67ac863c9d1963b2c1780c39102187ec8dd62 \
+    --hash=sha256:1a95915c98d6e32ca43809d46d932e2abc5f1f7d582ffbe65a5b4d1588af7445 \
+    --hash=sha256:2588021038bd5ada078de606f2a804cadd0a3cc6a79cb3e9bb3a8bf581325a4c \
+    --hash=sha256:2fa6a0e965779c8f2afb286f9ef798df770ba2b6cee063c650b96adec22c056a \
+    --hash=sha256:34afe9da5056aa123b8bfda1664bfe6fb4e9c6f311d8e4a6eb089da9a9173bf9 \
+    --hash=sha256:3897ae5a21ca132efa219c029cce5e6bfc9c3d34ed7e892113d199c0b1b444a2 \
+    --hash=sha256:40657e1b78212d582a0edecafef133cf1dd02e6677f539b669db4746150d38f6 \
+    --hash=sha256:48b5760dcbfe5cf97fd4fba23946681f3a81514c6ab8a45b50da67ac8fbc6c7b \
+    --hash=sha256:5242ecd9e990aeb995b6d03dc3b2d112d4a78f2083e5a8e86d566340ae80fec4 \
+    --hash=sha256:5cdc2e2195212208fbcae579b931407c1fa9997584f0a415421748aeafff1168 \
+    --hash=sha256:5d7b06ea8816cbd4becfe5f70accae953c53c0e53aa98730ceccb0395520ee5d \
+    --hash=sha256:7258c27115c1e3b5de9ac6c4f9957e3ee2c02c0b39222a24dc7aa03ba0e986f5 \
+    --hash=sha256:854c06fb86fd854140f37fb24dbf10621f5dab9e3b0c29a690ba595e3d543024 \
+    --hash=sha256:a21725862d0e855ae05da1dd25e3825ed712eaaccef6b03017fe0853a01aa45e \
+    --hash=sha256:a83fe522d9698d8f9a101b860b1ee154c1d25f8a82ceb807d319f085b2627c5b \
+    --hash=sha256:b3d64db762eae4a5ce04b6e3dd745dcca0fb9560eb931a5be97472e38652a161 \
+    --hash=sha256:e298d588744efda02379521a19639ebcd314fba7a49be22136204d7ed1782717 \
+    --hash=sha256:e2c8dfa14677f90d976f68e0c923947ae68fa3961d61ee30976c388adc0b02c8 \
+    --hash=sha256:ecba2a15dfb2d97105be74bbfe5128bc5e9fa8477d8c46766505c1dda5883aac \
+    --hash=sha256:fc1ec9aa6f4d98d022101e015261c056ddebe3da6a8ccfc2c792cbe0349d48b7
     # via
     #   -r requirements.in
     #   pytest-black

script/glam/run_scalar_agg_clustered_query.py

@@ -1,4 +1,5 @@
 """Run a query on clients_scalar_aggregates on one app_version at a time."""
+
 import datetime
 import sys
 import time

script/marketing/copy_ga_sessions.py

@@ -17,9 +17,11 @@ def get_qualified_table_name(project, ga_id, table_date):
 def copy_single_table(bq_client, src_table, dst_table, overwrite):
     """Copy a single day of ga_sessions."""
     job_config = bigquery.CopyJobConfig(
-        write_disposition=bigquery.WriteDisposition.WRITE_TRUNCATE
-        if overwrite
-        else bigquery.WriteDisposition.WRITE_EMPTY
+        write_disposition=(
+            bigquery.WriteDisposition.WRITE_TRUNCATE
+            if overwrite
+            else bigquery.WriteDisposition.WRITE_EMPTY
+        )
     )
     try:
         copy_job = bq_client.copy_table(

script/marketing/generate_app_store_queries.py

@@ -164,9 +164,11 @@ def main(project, source_dataset, destination_dataset, create_table, backfill, d
                 schema_update_options=schema_update_options,
                 time_partitioning=bigquery.TimePartitioning(field="date"),
                 create_disposition=bigquery.CreateDisposition.CREATE_IF_NEEDED,
-                write_disposition=bigquery.WriteDisposition.WRITE_TRUNCATE
-                if backfill
-                else bigquery.WriteDisposition.WRITE_APPEND,
+                write_disposition=(
+                    bigquery.WriteDisposition.WRITE_TRUNCATE
+                    if backfill
+                    else bigquery.WriteDisposition.WRITE_APPEND
+                ),
             )
             print(f"Creating table {table_name}")
             query_job = client.query(query_text, job_config)

sql/moz-fx-data-experiments/monitoring/experimenter_experiments_v1/query.py

@@ -190,15 +190,17 @@ class ExperimentV6:
             normandy_slug=self.slug,
             experimenter_slug=None,
             type="v6",
-            status="Live"
-            if (
-                self.endDate is None
-                or (
-                    self.endDate
-                    and self.endDate > pytz.utc.localize(datetime.datetime.now())
+            status=(
+                "Live"
+                if (
+                    self.endDate is None
+                    or (
+                        self.endDate
+                        and self.endDate > pytz.utc.localize(datetime.datetime.now())
+                    )
                 )
-            )
-            else "Complete",
+                else "Complete"
+            ),
             start_date=self.startDate,
             end_date=self.endDate,
             enrollment_end_date=self.enrollmentEndDate,

sql/moz-fx-data-shared-prod/adjust_derived/adjust_cohort_v1/query.py

@@ -1,4 +1,5 @@
 """Adjust data - download deliverables, clean and upload to BigQuery."""
+
 import csv
 import json
 import tempfile

sql/moz-fx-data-shared-prod/adjust_derived/adjust_deliverables_v1/query.py

@@ -1,4 +1,5 @@
 """Adjust data - download deliverables, clean and upload to BigQuery."""
+
 import csv
 import json
 import tempfile

sql/moz-fx-data-shared-prod/mdn_yari_derived/mdn_popularities_v1/query.py

@@ -65,10 +65,10 @@ def main():
     table_ref = dataset_ref.table(args.temp_table)
 
     target_file_name = f"{uuid4()}.csv"
-    target_file_path = join(args.destination_path, args.date.strftime('%Y/%m'), target_file_name)
-    mdn_uri = (
-        f"gs://{args.destination_bucket}/{target_file_path}"
+    target_file_path = join(
+        args.destination_path, args.date.strftime("%Y/%m"), target_file_name
     )
+    mdn_uri = f"gs://{args.destination_bucket}/{target_file_path}"
 
     logging.info(
         "Exporting %s to GCS: %s:%s" % (temp_table, args.destination_project, mdn_uri)
@@ -91,5 +91,6 @@ def main():
     blob = bucket.get_blob(target_file_path)
     bucket.copy_blob(blob, bucket, current_file_path)
 
+
 if __name__ == "__main__":
     main()

sql/moz-fx-data-shared-prod/monitoring_derived/bigquery_etl_scheduled_query_usage_v1/query.py

@@ -8,11 +8,7 @@ from pathlib import Path
 
 from google.cloud import bigquery
 
-DEFAULT_PROJECTS = [
-    "moz-fx-data-shared-prod",
-    "moz-fx-data-experiments",
-    "mozdata"
-]
+DEFAULT_PROJECTS = ["moz-fx-data-shared-prod", "moz-fx-data-experiments", "mozdata"]
 
 parser = ArgumentParser(description=__doc__)
 parser.add_argument("--date", required=True)  # expect string with format yyyy-mm-dd

sql/moz-fx-data-shared-prod/monitoring_derived/shredder_rows_deleted_v1/query.py

@@ -1,4 +1,5 @@
 """Monitor the number of rows deleted by shredder."""
+
 import datetime
 from argparse import ArgumentParser
 from multiprocessing.pool import ThreadPool

sql/moz-fx-data-shared-prod/monitoring_derived/stable_and_derived_table_sizes_v1/query.py

@@ -33,7 +33,9 @@ def get_tables(client, project, dataset):
 def get_partition_size_json(client, date, table):
     """Returns the size of a specific date parition of the specified table."""
     job_config = bigquery.QueryJobConfig(dry_run=True, use_query_cache=False)
-    job_config_columns_info = bigquery.QueryJobConfig(dry_run=False, use_query_cache=False)
+    job_config_columns_info = bigquery.QueryJobConfig(
+        dry_run=False, use_query_cache=False
+    )
     dataset_id = table[0]
     table_id = table[1]
 
@@ -42,11 +44,16 @@ def get_partition_size_json(client, date, table):
                             FROM {dataset_id}.INFORMATION_SCHEMA.COLUMNS
                             WHERE table_name = '{table_id}' and is_partitioning_column = 'YES'
                         """
-    partition_column_name_result = client.query(partition_column_sql, job_config=job_config_columns_info)
+    partition_column_name_result = client.query(
+        partition_column_sql, job_config=job_config_columns_info
+    )
 
     partition_column_name = [row[0] for row in partition_column_name_result.result()]
 
-    if len(partition_column_name) > 0 and partition_column_name[0] in ('submission_date', 'submission_timestamp'):
+    if len(partition_column_name) > 0 and partition_column_name[0] in (
+        "submission_date",
+        "submission_timestamp",
+    ):
         sql = f"""
                 SELECT * FROM `{dataset_id}.{table_id}`
                 WHERE DATE({partition_column_name[0]}) = '{date}'
@@ -57,7 +64,7 @@ def get_partition_size_json(client, date, table):
             "submission_date": date,
             "dataset_id": dataset_id,
             "table_id": table_id,
-            "byte_size": size
+            "byte_size": size,
         }
 
 
@@ -90,11 +97,14 @@ def main():
         stable_datasets = [
             dataset.dataset_id
             for dataset in list(client.list_datasets())
-            if fnmatchcase(dataset.dataset_id, arg_dataset) and not fnmatchcase(dataset.dataset_id, 'monitoring_derived')
+            if fnmatchcase(dataset.dataset_id, arg_dataset)
+            and not fnmatchcase(dataset.dataset_id, "monitoring_derived")
         ]
         with ThreadPool(20) as p:
             stable_tables = p.map(
-                partial(get_tables, client, args.project), stable_datasets, chunksize=1,
+                partial(get_tables, client, args.project),
+                stable_datasets,
+                chunksize=1,
             )
             stable_tables = [table for tables in stable_tables for table in tables]
 
@@ -107,12 +117,12 @@ def main():
             stable_derived_partition_sizes.extend(partition_sizes)
 
     save_table_sizes(
-                client,
-                stable_derived_partition_sizes,
-                args.date,
-                args.destination_dataset,
-                args.destination_table,
-            )
+        client,
+        stable_derived_partition_sizes,
+        args.date,
+        args.destination_dataset,
+        args.destination_table,
+    )
 
 
 if __name__ == "__main__":

sql/moz-fx-data-shared-prod/monitoring_derived/structured_missing_columns_v1/query.py

@@ -107,7 +107,7 @@ def structured_missing_columns(
                 ),
             )
             job.result()
-            mb_processed[namespace] = round(job.total_bytes_processed / 1024 ** 2, 1)
+            mb_processed[namespace] = round(job.total_bytes_processed / 1024**2, 1)
         except Exception as e:
             if not skip_exceptions:
                 raise

sql/moz-fx-data-shared-prod/org_mozilla_ios_firefox/unified_metrics_v1/query.py

@@ -151,17 +151,24 @@ def main():
     legacy_core = (
         "moz-fx-data-shared-prod.org_mozilla_ios_firefox_derived.legacy_mobile_core_v2"
     )
-    legacy_event = (
-        "moz-fx-data-shared-prod.org_mozilla_ios_firefox_derived.legacy_mobile_event_counts_v2"
-    )
+    legacy_event = "moz-fx-data-shared-prod.org_mozilla_ios_firefox_derived.legacy_mobile_event_counts_v2"
     update_schema(bq, legacy_core, schema)
     update_schema(bq, legacy_event, schema)
 
     # these columns needs to be excluded due to a change in view generation (metrics)
     # for more details, see: https://github.com/mozilla/bigquery-etl/pull/4029
     # and https://bugzilla.mozilla.org/show_bug.cgi?id=1741487
-    columns_to_exclude = ("root.metrics.text RECORD", "root.metrics.url RECORD", "root.metrics.jwe RECORD", "root.metrics.labeled_rate RECORD",)
-    stripped = [c.split()[0].lstrip("root.") for c in column_summary if c not in columns_to_exclude]
+    columns_to_exclude = (
+        "root.metrics.text RECORD",
+        "root.metrics.url RECORD",
+        "root.metrics.jwe RECORD",
+        "root.metrics.labeled_rate RECORD",
+    )
+    stripped = [
+        c.split()[0].lstrip("root.")
+        for c in column_summary
+        if c not in columns_to_exclude
+    ]
 
     query_glean = generate_query(
         ['"glean" as telemetry_system', *stripped],
@@ -185,7 +192,9 @@ def main():
         replacements=query_legacy_replacements,
     )
 
-    view_body = reformat(" UNION ALL ".join([query_glean, query_legacy_core, query_legacy_events]))
+    view_body = reformat(
+        " UNION ALL ".join([query_glean, query_legacy_core, query_legacy_events])
+    )
     print(view_body)
     view_id = "moz-fx-data-shared-prod.org_mozilla_ios_firefox.unified_metrics"
     try:

sql/moz-fx-data-shared-prod/telemetry/longitudinal.sql.py

@@ -82,9 +82,9 @@ def generate_sql(opts):
                 opts["from"] or six_months_before(opts["to"]), "'%Y-%m-%d'"
             ),
             "to": datetime.datetime.strftime(opts["to"], "'%Y-%m-%d'"),
-            "where": "\n{}AND {}".format(" " * 10, opts["where"])
-            if opts["where"]
-            else "",
+            "where": (
+                "\n{}AND {}".format(" " * 10, opts["where"]) if opts["where"] else ""
+            ),
             "ordering_columns": ", ".join(
                 opts["ordering_columns"] or [opts["submission_date_col"]]
             ),

sql/moz-fx-data-shared-prod/telemetry_derived/crash_signatures_v1/query.py

@@ -1,4 +1,5 @@
 """Generate signatures for symbolicated crash pings via siggen."""
+
 from pathlib import Path
 
 import click

sql/moz-fx-data-shared-prod/telemetry_derived/crash_symbols_v1/query.py

@@ -1,4 +1,5 @@
 """Upload symbols used in crash pings."""
+
 from datetime import datetime
 from functools import partial
 from multiprocessing.pool import ThreadPool as Pool

sql/moz-fx-data-shared-prod/telemetry_dev_cycle_external/experiments_stats_v1/query.py

@@ -117,9 +117,11 @@ def compare_experiments_with_metric_hub_configs():
     metric_files = download_metric_hub_files(API_BASE_URL_METRIC_HUB)
 
     experiments = [
-        {**experiment, "has_config": True}
-        if experiment["slug"] in metric_files
-        else {**experiment, "has_config": False}
+        (
+            {**experiment, "has_config": True}
+            if experiment["slug"] in metric_files
+            else {**experiment, "has_config": False}
+        )
         for experiment in (experiments_v1 + experiments_v6)
     ]
     return experiments

sql_generators/active_users/__init__.py

@@ -1,4 +1,5 @@
 """Generate active users aggregates per app."""
+
 import os
 from enum import Enum
 from pathlib import Path

sql_generators/active_users_deletion_requests/__init__.py

@@ -1,4 +1,5 @@
 """Generate active users aggregates per app."""
+
 import os
 from enum import Enum
 from pathlib import Path

sql_generators/country_code_lookup/__init__.py

@@ -1,4 +1,5 @@
 """Country code lookup generation."""
+
 import os
 from collections import Counter
 from pathlib import Path

sql_generators/events_daily/__init__.py

@@ -1,4 +1,5 @@
 """Generate query directories."""
+
 import os
 from dataclasses import dataclass
 from pathlib import Path

sql_generators/experiment_monitoring/__init__.py

@@ -1,4 +1,5 @@
 """Experiment monitoring materialized view generation."""
+
 import os
 from pathlib import Path
 

sql_generators/feature_usage/__init__.py

@@ -1,4 +1,5 @@
 """Feature usage table generation."""
+
 import os
 import shutil
 from pathlib import Path

sql_generators/funnels/__init__.py

@@ -1,4 +1,5 @@
 """Funnel generation."""
+
 import os
 import re
 from pathlib import Path

sql_generators/glean_usage/__init__.py

@@ -1,4 +1,5 @@
 """GLEAN Usage."""
+
 from functools import cache, partial
 from pathlib import Path
 

sql_generators/glean_usage/baseline_clients_daily.py

@@ -1,4 +1,5 @@
 """Generating and run baseline_clients_daily queries for Glean apps."""
+
 from sql_generators.glean_usage.common import GleanTable
 
 BASELINE_DAILY_TABLE_ID = "baseline_clients_daily_v1"

sql_generators/glean_usage/event_monitoring_live.py

@@ -77,9 +77,11 @@ class EventMonitoringLive(GleanTable):
                 for app_dataset in app
                 if dataset == app_dataset["bq_dataset_family"]
             ][0],
-            events_table=default_events_table
-            if dataset not in events_table_overwrites
-            else events_table_overwrites[dataset],
+            events_table=(
+                default_events_table
+                if dataset not in events_table_overwrites
+                else events_table_overwrites[dataset]
+            ),
         )
 
         render_kwargs.update(self.custom_render_kwargs)

sql_generators/glean_usage/glean_app_ping_views.py

@@ -7,6 +7,7 @@ the stable tables are possible.
 For views that have incomaptible schemas (e.g due to fields having mismatching
 types), the view is only generated for the release channel.
 """
+
 import os
 from copy import deepcopy
 from pathlib import Path

sql_generators/search/__init__.py

@@ -4,6 +4,7 @@ Generate mobile search clients_daily query.
 Create a combined CTE for metrics and baseline for Android and iOS Glean apps,
 then print the query to a file in the output directory.
 """
+
 from pathlib import Path
 from typing import List
 

sql_generators/serp_events/__init__.py

@@ -1,4 +1,5 @@
 """Generate serp events aggregates per app."""
+
 import os
 from enum import Enum
 from pathlib import Path

sql_generators/urlbar_events/__init__.py

@@ -1,4 +1,5 @@
 """Generate active users aggregates per app."""
+
 import os
 import shutil
 from enum import Enum

sql_generators/use_counters/__init__.py

@@ -1,4 +1,5 @@
 """Use counter table generation."""
+
 import os
 import shutil
 from pathlib import Path

tests/data/dags/python_script_test_dag

@@ -45,6 +45,7 @@ with DAG(
     doc_md=docs,
     tags=tags,
 ) as dag:
+
     task_group_test_group = TaskGroup("test_group")
 
     test__python_script_query__v1 = GKEPodOperator(

tests/data/dags/simple_test_dag

@@ -49,6 +49,7 @@ with DAG(
     doc_md=docs,
     tags=tags,
 ) as dag:
+
     test__non_incremental_query__v1 = bigquery_etl_query(
         task_id="test__non_incremental_query__v1",
         destination_table="non_incremental_query_v1",

tests/data/dags/test_dag_duplicate_dependencies

@@ -45,6 +45,7 @@ with DAG(
     doc_md=docs,
     tags=tags,
 ) as dag:
+
     test__no_metadata_query__v1 = bigquery_etl_query(
         task_id="test__no_metadata_query__v1",
         destination_table='no_metadata_query_v1${{ macros.ds_format(macros.ds_add(ds, -2), "%Y-%m-%d", "%Y%m%d") }}',

tests/data/dags/test_dag_external_check_dependency

@@ -45,6 +45,7 @@ with DAG(
     doc_md=docs,
     tags=tags,
 ) as dag:
+
     checks__fail_test__external_table__v1 = bigquery_dq_check(
         task_id="checks__fail_test__external_table__v1",
         source_table="external_table_v1",

tests/data/dags/test_dag_external_dependency

@@ -45,6 +45,7 @@ with DAG(
     doc_md=docs,
     tags=tags,
 ) as dag:
+
     test__external_table__v1 = bigquery_etl_query(
         task_id="test__external_table__v1",
         destination_table="external_table_v1",

tests/data/dags/test_dag_with_check_dependencies

@@ -45,6 +45,7 @@ with DAG(
     doc_md=docs,
     tags=tags,
 ) as dag:
+
     checks__fail_test__table1__v1 = bigquery_dq_check(
         task_id="checks__fail_test__table1__v1",
         source_table="table1_v1",

tests/data/dags/test_dag_with_check_table_dependencies

@@ -45,6 +45,7 @@ with DAG(
     doc_md=docs,
     tags=tags,
 ) as dag:
+
     checks__fail_test__table1__v1 = bigquery_dq_check(
         task_id="checks__fail_test__table1__v1",
         source_table="table1_v1",

tests/data/dags/test_dag_with_dependencies

@@ -45,6 +45,7 @@ with DAG(
     doc_md=docs,
     tags=tags,
 ) as dag:
+
     test__query__v1 = bigquery_etl_query(
         task_id="test__query__v1",
         destination_table="query_v1",

tests/sql/glam-fenix-dev/glam_etl/org_mozilla_fenix_glam_nightly__scalar_bucket_counts_v1/test_minimal/data.py

@@ -1,4 +1,5 @@
 """Testing data for query."""
+
 from itertools import product
 from pathlib import Path
 from uuid import uuid4

tests/sql/glam-fenix-dev/glam_etl/org_mozilla_fenix_glam_nightly__scalar_percentiles_v1/test_minimal/data.py

@@ -1,4 +1,5 @@
 """Testing data for query."""
+
 from pathlib import Path
 from uuid import uuid4
 

tests/sql/glam-fenix-dev/glam_etl/org_mozilla_fenix_glam_nightly__scalar_probe_counts_v1/test_minimal/data.py

@@ -1,4 +1,5 @@
 """Testing data for query."""
+
 from pathlib import Path
 
 import yaml

tests/sql/moz-fx-data-shared-prod/org_mozilla_fenix_derived/geckoview_version_v1/bootstrap.py

@@ -1,4 +1,5 @@
 """Code for setting up the the tests."""
+
 import math
 import shutil
 from datetime import datetime, timedelta