Ajout des données RPLS filtrées des changements de COG

airflow/dags/ingest_rpls.py

@@ -0,0 +1,57 @@
+import os
+
+import pandas as pd
+from airflow.decorators import dag, task
+from include.domain.container import Container
+from include.pools import DBT_POOL
+from include.utils import get_dbt_command_from_directory
+from pendulum import datetime
+
+URL = "https://www.statistiques.developpement-durable.gouv.fr/media/6897/download?inline"
+# COG 2022
+
+
+@dag(
+    start_date=datetime(2024, 1, 1),
+    schedule="@once",
+    catchup=False,
+    doc_md=__doc__,
+    max_active_runs=1,
+    default_args={"owner": "Alexis Athlani", "retries": 3},
+    tags=["RPLS"],
+)
+def ingest_rpls():
+    bucket_name = "airflow-staging"
+    filename = "rpls.xlsx"
+    staging_table_name = "rpls_rpls_national"
+
+    @task.python
+    def download() -> str:
+        return (
+            Container()
+            .remote_to_s3_file_handler()
+            .download_http_file_and_upload_to_s3(
+                url=URL,
+                s3_key=filename,
+                s3_bucket=bucket_name,
+            )
+        )
+
+    @task.python
+    def ingest() -> int | None:
+        s3_path = f"{bucket_name}/{filename}"
+        tmp_localpath = f"/tmp/{filename}"
+        Container().s3().get_file(s3_path, tmp_localpath)
+        df = pd.read_excel(tmp_localpath, skiprows=4, sheet_name="Commune", index_col=False)
+        row_count = df.to_sql(name=staging_table_name, con=Container().sqlalchemy_dbt_conn(), if_exists="replace")
+        os.remove(tmp_localpath)
+        return row_count
+
+    @task.bash(pool=DBT_POOL)
+    def dbt_build() -> str:
+        return get_dbt_command_from_directory(cmd="dbt build -s rpls+")
+
+    (download() >> ingest() >> dbt_build())
+
+
+ingest_rpls()

airflow/include/sql/sparte/dbt_project.yml

@@ -44,3 +44,5 @@ models:
       +schema: for_app
     sitadel:
       +schema: sitadel
+    rpls:
+      +schema: rpls

airflow/include/sql/sparte/macros/insee/where_commune_not_changed.sql

@@ -0,0 +1,18 @@
+{% macro where_commune_not_changed(commune_code_field, from_year, to_year) %}
+{% if not to_year %}
+    {% set to_year = 2024 %}
+{% endif %}
+
+WHERE {{ commune_code_field }} not in (
+    SELECT code_commune_avant
+        FROM {{ ref('cog_changes_2024') }}
+    WHERE
+        date_part('year', date_effet) BETWEEN {{ from_year }} and {{ to_year }}
+    UNION
+    SELECT code_commune_apres
+        FROM {{ ref('cog_changes_2024') }}
+    WHERE
+        date_part('year', date_effet) BETWEEN {{ from_year }} and {{ to_year }}
+)
+
+{% endmacro %}