Update satellite and fix sql execute

.github/workflows/build.yaml

@@ -36,7 +36,7 @@ jobs:
       cancel-in-progress: true
 
     steps:
-    - uses: actions/checkout@v3
+    - uses: actions/checkout@v4
 
     - uses: actions/setup-node@v3
       with:
@@ -65,7 +65,7 @@ jobs:
         convention-name: conventionalcommits
 
     - name: Install Conda Dependencies
-      uses: conda-incubator/setup-miniconda@v2
+      uses: conda-incubator/setup-miniconda@v3
       with:
         miniconda-version: "latest"
         mamba-version: "*"

.github/workflows/release.yaml

@@ -18,7 +18,7 @@ jobs:
         shell: bash -l {0}
 
     steps:
-    - uses: actions/checkout@v3
+    - uses: actions/checkout@v4
       with:
         fetch-depth: 0
         submodules: recursive

alertflow/dags/satellite-weather/brasil.py

@@ -84,16 +84,16 @@ def extract_transform_load(
         from satellite import downloader as sat_d
         from satellite import weather as sat_w
         from satellite.weather.brazil.extract_latlons import MUNICIPALITIES
-        from sqlalchemy import create_engine
+        from sqlalchemy import create_engine, text
 
         start_date = parser.parse(str(date))
         max_update_delay = start_date - timedelta(days=6)
 
         with create_engine(psql_uri["PSQL_MAIN_URI"]).connect() as conn:
-            cur = conn.execute(
+            cur = conn.execute(text(
                 "SELECT geocodigo FROM weather.copernicus_brasil"
                 f" WHERE date = '{str(max_update_delay.date())}'"
-            )
+            ))
             table_geocodes = set(chain(*cur.fetchall()))
 
         all_geocodes = set([mun["geocodigo"] for mun in MUNICIPALITIES])
@@ -116,17 +116,13 @@ def extract_transform_load(
         # Reads the NetCDF4 file using Xarray
         ds = sat_w.load_dataset(netcdf_file)
 
-        try:
-            conn = create_engine(psql_uri["PSQL_MAIN_URI"]).raw_connection()
-
+        with create_engine(psql_uri["PSQL_MAIN_URI"]).connect() as conn:
             ds.copebr.to_sql(
                 tablename="copernicus_brasil",
                 schema="weather",
                 geocodes=list(geocodes),
                 con=conn,
             )
-        finally:
-            conn.close()
 
         # Deletes the NetCDF4 file
         Path(netcdf_file).unlink(missing_ok=True)

docker/Dockerfile

@@ -79,7 +79,7 @@ RUN source /home/airflow/mambaforge/bin/activate \
   && sed -i "s/include-system-site-packages = false/include-system-site-packages = true/" /opt/envs/py310/pyvenv.cfg \
   && source /opt/envs/py310/bin/activate \
   && pip install \
-  "satellite-weather-downloader >= 1.9.3" \
+  "satellite-weather-downloader >= 1.9.4" \
   psycopg2
 
 RUN echo "alias activate_episcanner='source /home/airflow/mambaforge/bin/activate episcanner-downloader'" >> /home/airflow/.bashrc