Melhorias no deployment local

Dockerfile

@@ -14,8 +14,8 @@ USER airflow
 COPY requirements-uninstall.txt .
 RUN pip uninstall -y -r requirements-uninstall.txt && \
     pip install --no-cache-dir \
-    apache-airflow-providers-microsoft-mssql==3.8.0 \
-    apache-airflow-providers-common-sql==1.15.0
+    apache-airflow-providers-microsoft-mssql==3.9.0 \
+    apache-airflow-providers-common-sql==1.16.0
 
 # Copy and install requirements.txt
 COPY tests-requirements.txt .

Makefile

@@ -1,5 +1,16 @@
 .PHONY: run
-run: setup-containers create-example-variable
+run: \
+create-logs-dir \
+setup-containers \
+create-example-variable \
+create-path-tmp-variable \
+create-inlabs-db \
+create-inlabs-db-connection \
+create-inlabs-portal-connection \
+activate-inlabs-load-dag
+
+create-logs-dir:
+	mkdir -p ./mnt/airflow-logs -m a=rwx
 
 setup-containers:
 	docker compose up -d --force-recreate --remove-orphans
@@ -22,6 +33,79 @@ create-example-variable:
 			}' > /dev/null; \
 		fi"
 
+create-path-tmp-variable:
+	@echo "Creating 'path_tmp' Airflow variable"
+	@docker exec airflow-webserver sh -c \
+		"if ! curl -f -s -LI 'http://localhost:8080/api/v1/variables/path_tmp' --user \"airflow:airflow\" > /dev/null; \
+		then \
+			curl -s -X 'POST' \
+			'http://localhost:8080/api/v1/variables' \
+			-H 'accept: application/json' \
+			-H 'Content-Type: application/json' \
+			--user \"airflow:airflow\" \
+			-d '{ \
+			\"key\": \"path_tmp\", \
+			\"value\": \"/tmp\" \
+			}' > /dev/null; \
+		fi"
+
+create-inlabs-db:
+	@echo "Creating 'inlabs' database"
+	@docker exec -e PGPASSWORD=airflow ro-dou-postgres-1 sh -c "psql -q -U airflow -f /sql/init-db.sql > /dev/null"
+
+create-inlabs-db-connection:
+	@echo "Creating 'inlabs_db' Airflow connection"
+	@docker exec airflow-webserver sh -c \
+		"if ! curl -f -s -LI 'http://localhost:8080/api/v1/connections/inlabs_db' --user \"airflow:airflow\" > /dev/null; \
+		then \
+			curl -s -X 'POST' \
+			'http://localhost:8080/api/v1/connections' \
+			-H 'accept: application/json' \
+			-H 'Content-Type: application/json' \
+			--user \"airflow:airflow\" \
+			-d '{ \
+			\"connection_id\": \"inlabs_db\", \
+			\"conn_type\": \"postgres\", \
+			\"schema\": \"inlabs\", \
+			\"host\": \"ro-dou-postgres-1\", \
+			\"login\": \"airflow\", \
+			\"password\": \"airflow\", \
+			\"port\": 5432 \
+			}' > /dev/null; \
+		fi"
+
+create-inlabs-portal-connection:
+	@echo "Creating 'inlabs_portal' Airflow connection"
+	@docker exec airflow-webserver sh -c \
+		"if ! curl -f -s -LI 'http://localhost:8080/api/v1/connections/inlabs_portal' --user \"airflow:airflow\" > /dev/null; \
+		then \
+			curl -s -X 'POST' \
+			'http://localhost:8080/api/v1/connections' \
+			-H 'accept: application/json' \
+			-H 'Content-Type: application/json' \
+			--user \"airflow:airflow\" \
+			-d '{ \
+			\"connection_id\": \"inlabs_portal\", \
+			\"conn_type\": \"http\", \
+			\"description\": \"Credencial para acesso no Portal do INLabs\", \
+			\"host\": \"https://inlabs.in.gov.br/\", \
+			\"login\": \"[email protected]\", \
+			\"password\": \"password\" \
+			}' > /dev/null; \
+		fi"
+
+activate-inlabs-load-dag:
+	@echo "Activating 'dou_inlabs_load_pg' Airflow DAG"
+	@docker exec airflow-webserver sh -c \
+		"curl -s -X 'PATCH' \
+			'http://localhost:8080/api/v1/dags/ro-dou_inlabs_load_pg' \
+			-H 'accept: application/json' \
+			-H 'Content-Type: application/json' \
+			--user \"airflow:airflow\" \
+			-d '{ \
+			\"is_paused\": false \
+			}' > /dev/null;"
+
 .PHONY: down
 down:
 	docker compose down

dag_load_inlabs/ro-dou_inlabs_load_pg_dag.py

@@ -20,11 +20,8 @@
 # Constants
 
 DEST_DIR = "download_inlabs"
-#XXX update here
 DEST_CONN_ID = "inlabs_db"
-#XXX connection to https://inlabs.in.gov.br/
 INLABS_CONN_ID = "inlabs_portal"
-#XXX remember to create schema `dou_inlabs` on db
 STG_TABLE = "dou_inlabs.article_raw"
 
 
@@ -143,6 +140,7 @@ def _unzip_files():
         files_exists = _download_files()
         _unzip_files()
 
+
         return files_exists
 
     @task
@@ -225,7 +223,7 @@ def check_if_first_run_of_day():
         if execution_date.day == prev_execution_date.day:
             logging.info ("Não é a primeira execução do dia")
             logging.info ("Triggering dataset edicao_extra")
-            return "trigger_dataset_edicao_extra"
+            return "trigger_dataset_inlabs_edicao_extra"
         else:
             logging.info ("Primeira execução do dia")
             logging.info ("Triggering dataset e DAGs do INLABS")
@@ -247,29 +245,13 @@ def remove_directory():
         subprocess.run(f"rm -rf {dest_path}", shell=True, check=True)
         logging.info("Directory %s removed.", dest_path)
 
-    # @task_group(group_id='datasets')
-    # def trigger_datasets():
-    #     @task.run_if(lambda context: context["task_instance"].execution_date.hour == 15)
-    #     @task(outlets=[Dataset("inlabs")])
-    #     def trigger_dataset_edicao_normal():
-    #         logging.info("Disparando DAGs do INLABS")
-
-    #     @task.run_if(lambda context: context["task_instance"].execution_date.hour > 15)
-    #     @task(outlets=[Dataset("inlabs_edicao_extra")])
-    #     def trigger_dataset_edicao_extra(**kwargs):
-    #         logging.info(context["task_instance"])
-    #         logging.info("Atualizando o Dataset de Edição Extra")
-
-    #     trigger_dataset_edicao_normal(), trigger_dataset_edicao_extra()
-
-
-    ## Orchestration
+     ## Orchestration
     trigger_date = get_date()
     download_n_unzip_files(trigger_date) >> \
     load_data(trigger_date) >> check_loaded_data >> \
+    remove_directory() >> \
     check_if_first_run_of_day() >> \
-    [trigger_dataset_inlabs_edicao_extra(),trigger_dataset_inlabs()] >> \
-    remove_directory()
+    [trigger_dataset_inlabs_edicao_extra(),trigger_dataset_inlabs()]
 
 
 load_inlabs()

dag_load_inlabs/sql/init-db.sql

@@ -0,0 +1,5 @@
+CREATE DATABASE inlabs;
+
+\c inlabs
+
+CREATE SCHEMA IF NOT EXISTS dou_inlabs;

docker-compose.yml

@@ -73,7 +73,9 @@
 
       volumes:
         - ./src:/opt/airflow/dags/ro_dou_src # for development purpose
+        - ./mnt/airflow-logs:/opt/airflow/logs
         - ./dag_confs:/opt/airflow/dags/ro_dou/dag_confs
+        - ./dag_load_inlabs:/opt/airflow/dags/dag_load_inlabs
         - ./tests:/opt/airflow/tests # for test purpose
         - ./schemas:/opt/airflow/schemas # for test purpose
       depends_on:
@@ -89,6 +91,7 @@
           POSTGRES_DB: airflow
         volumes:
           - ./mnt/pgdata:/var/lib/postgresql/data
+          - ./dag_load_inlabs/sql/:/sql
         healthcheck:
           test: ["CMD", "pg_isready", "-U", "airflow"]
           interval: 5s

docs/docs/como_utilizar/instalacao.md

@@ -33,7 +33,8 @@ Agora, faremos um segundo teste: o clipping **terms_from_variable**, seguindo os
 
 Leia a seção **Configurando em Produção** para instalar o Ro-dou utilizando um provedor SMTP real que enviará os e-mails para os destinatários verdadeiros.
 
-**Observação:** Para utilizar o `source: - INLABS`, é necessário criar a conexão `inlabs_db` no Apache Airflow, apontando para o banco `Postgres` que está carregado com os dados do inlabs. Você poderá encontrar aqui um exemplo de como carregar um banco com os dados do inlabs: [`ro-dou_inlabs_load_pg_dag.py`](https://github.com/gestaogovbr/Ro-dou/blob/main/dag_load_inlabs/ro-dou_inlabs_load_pg_dag.py).
+**Observação:** Para utilizar o `source: - INLABS`, é necessário alterar a conexão `inlabs_portal` no Apache Airflow, apontando o usuário e senha de autenticação do portal. Um novo usuário pode ser cadastrado pelo portal [INLABS](https://inlabs.in.gov.br/acessar.php). A DAG
+que realiza o download dos arquivos do INLABS é a **ro-dou_inlabs_load_pg**.
 
 Quando tiver terminado de utilizar o ambiente de teste do Ro-DOU, desligue-o por meio do seguinte comando: