Bring in calitp-data-analysis and remove calitp-data

.github/workflows/build-calitp-data-analysis.yml

@@ -0,0 +1,40 @@
+name: Test, visualize, and build calitp-data-analysis
+
+on:
+  push:
+    branches:
+      - 'main'
+    paths:
+      - '.github/workflows/build-calitp-data-analysis.yml'
+      - 'packages/calitp-data-analysis/calitp_data_analysis/**'
+  pull_request:
+    paths:
+      - '.github/workflows/build-calitp-data-analysis.yml'
+      - 'packages/calitp-data-analysis/calitp_data_analysis/**'
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  check_and_build:
+    name: check python
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-python@v4
+        with:
+          python-version: '3.9'
+      - uses: google-github-actions/setup-gcloud@v0
+        with:
+          service_account_key: ${{ secrets.GCP_SA_KEY }}
+          export_default_credentials: true
+      - name: Run checks
+        working-directory: packages/calitp-data-analysis
+        run: |
+          curl -sSL https://install.python-poetry.org | python -
+          poetry install
+          poetry run mypy .
+          poetry run pytest
+          poetry build
+# TODO: add publishing

airflow/dags/airtable_loader_v2/generate_gtfs_download_configs.py

@@ -11,13 +11,13 @@
 
 import pendulum
 import sentry_sdk
-from calitp_data.storage import get_fs
 from calitp_data_infra.storage import (
     AirtableGTFSDataExtract,
     AirtableGTFSDataRecord,
     GCSFileInfo,
     GTFSDownloadConfig,
     GTFSDownloadConfigExtract,
+    get_fs,
 )
 from pydantic import ValidationError
 

airflow/dags/dags.py

@@ -3,7 +3,6 @@
 
 import macros
 import requests
-from calitp_data.templates import user_defined_filters, user_defined_macros
 from gusty import create_dag
 
 import airflow  # noqa
@@ -56,8 +55,7 @@ def log_failure_to_slack(context):
         task_group_defaults={"tooltip": "this is a default tooltip"},
         wait_for_defaults={"retries": 24, "check_existence": True, "timeout": 10 * 60},
         latest_only=False,
-        user_defined_macros={**user_defined_macros, **macros.data_infra_macros},
-        user_defined_filters=user_defined_filters,
+        user_defined_macros=macros.data_infra_macros,
         default_args={
             "on_failure_callback": log_failure_to_slack,
             # "on_retry_callback": log_failure_to_slack,

airflow/dags/download_gtfs_schedule_v2/download_schedule_feeds.py

@@ -10,7 +10,6 @@
 import humanize
 import pendulum
 import sentry_sdk
-from calitp_data.storage import get_fs
 from calitp_data_infra.auth import get_secrets_by_label
 from calitp_data_infra.storage import (
     JSONL_EXTENSION,
@@ -22,6 +21,7 @@
     PartitionedGCSArtifact,
     ProcessingOutcome,
     download_feed,
+    get_fs,
     get_latest,
 )
 from pydantic import validator

airflow/dags/download_gtfs_schedule_v2/email_download_failures.py

@@ -6,9 +6,9 @@
 # trigger_rule: all_done
 # ---
 import datetime
+import os
 
 import pandas as pd
-from calitp_data.config import is_development
 
 from airflow.models.taskinstance import TaskInstance
 from airflow.utils.email import send_email
@@ -32,7 +32,7 @@ def email_failures(task_instance: TaskInstance, execution_date, **kwargs):
     {html_report}
     """
 
-    if is_development():
+    if os.environ["AIRFLOW_ENV"] == "development":
         print(
             f"Skipping since in development mode! Would have emailed {failures_df.shape[0]} failures."
         )

airflow/dags/macros.py

@@ -1,29 +1,12 @@
 """Macros for Operators"""
 import os
 
-from calitp_data.config import is_development
-
-# To add a macro, add its definition in the appropriate section
-# And then add it to the dictionary at the bottom of this file
-
-# Is Development ======================================================
-
-
-def is_development_macro():
-    """Make calitp-py's is_development function available via macro"""
-
-    return is_development()
-
-
-# ACTUALLY DEFINE MACROS =============================================================
-
-# template must be added here to be accessed in dags.py
-# key is alias that will be used to reference the template in DAG tasks
-# value is name of function template as defined above
-
-
 data_infra_macros = {
-    "is_development": is_development_macro,
-    "image_tag": lambda: "development" if is_development() else "latest",
+    "image_tag": lambda: "development"
+    if os.environ["AIRFLOW_ENV"] == "development"
+    else "latest",
+    "get_project_id": lambda: "cal-itp-data-infra-staging"
+    if os.environ["AIRFLOW_ENV"] == "development"
+    else "cal-itp-data-infra",
     "env_var": os.getenv,
 }

airflow/dags/parse_elavon/elavon_to_gcs_jsonl.py

@@ -8,9 +8,9 @@
 
 import pandas as pd
 import pendulum
-from calitp_data.storage import get_fs
 from calitp_data_infra.storage import (  # type: ignore
     PartitionedGCSArtifact,
+    get_fs,
     make_name_bq_safe,
 )
 

airflow/dags/sync_elavon/elavon_to_gcs_raw.py

@@ -6,8 +6,8 @@
 
 import paramiko
 import pendulum
-from calitp_data.storage import get_fs
 from calitp_data_infra.auth import get_secret_by_name
+from calitp_data_infra.storage import get_fs
 
 CALITP__ELAVON_SFTP_HOSTNAME = os.environ["CALITP__ELAVON_SFTP_HOSTNAME"]
 CALITP__ELAVON_SFTP_PORT = os.environ["CALITP__ELAVON_SFTP_PORT"]

airflow/dags/unzip_and_validate_gtfs_schedule_hourly/unzip_gtfs_schedule.py

@@ -14,12 +14,12 @@
 import pendulum
 import sentry_sdk
 import typer
-from calitp_data.storage import get_fs
 from calitp_data_infra.storage import (
     GTFSFeedType,
     GTFSScheduleFeedExtract,
     PartitionedGCSArtifact,
     ProcessingOutcome,
+    get_fs,
 )
 from tqdm import tqdm
 from utils import (

airflow/plugins/operators/__init__.py

@@ -1,6 +1,5 @@
 # flake8: noqa
 from operators.airtable_to_gcs import AirtableToGCSOperator
-from operators.amplitude_to_flattened_json import AmplitudeToFlattenedJSONOperator
 from operators.external_table import ExternalTable
 from operators.gtfs_csv_to_jsonl import GtfsGcsToJsonlOperator
 from operators.gtfs_csv_to_jsonl_hourly import GtfsGcsToJsonlOperatorHourly

airflow/plugins/operators/airtable_to_gcs.py

@@ -4,9 +4,8 @@
 
 import pandas as pd
 import pendulum
-from calitp_data.storage import get_fs
 from calitp_data_infra.auth import get_secret_by_name
-from calitp_data_infra.storage import make_name_bq_safe
+from calitp_data_infra.storage import get_fs, make_name_bq_safe
 from pyairtable import Table
 from pydantic import BaseModel