Update 10-07-23. Update DAG process. Add procedure functionality (In progress)

dags/components/Cleaning.py

+from typing import Dict, Any
+import json
 from airflow.utils.task_group import TaskGroup
 from airflow.operators.python import PythonOperator
 from airflow.models import Variable
 from components.Utils import select_multiple
 from components.Xcom import delete_all_xcom_tasks
 from components.DatabaseOperation.DatabaseTransformation import delete_table
+from components.S3Route import load_obj_to_s3
 
 import logging
 
 logger = logging.getLogger()
 
 
+def validate_clean(control_params: Dict[str, Any], **kwargs) -> None:
+    ti = kwargs["ti"]
+    conf = ti.xcom_pull(task_ids="VALIDATE_GENERATOR", key="CONTROL-CONFIG")
+    conn = control_params["connection_id"]
+    bucket = control_params["bucket"]
+    prefix = control_params["prefix"]
+    if not prefix.endswith("/"):
+        prefix += "/"
+    key = prefix + control_params["filename"]
+    conf = json.dumps(conf, indent=2, default=str)
+    loaded = load_obj_to_s3(bytes(conf.encode()), conn, bucket, key)
+    if loaded:
+        logger.info(f"Cargado correctamente el archivo de control en {key}")
+
+
 def clean(command: str, intern_conn):
     engine = intern_conn.engine
     tablename = select_multiple(command)["tablename"]
@@ -37,7 +55,7 @@ def get_generate_from_xcom(**kwargs):
     Variable.set(key='CLEANS', value=final_selects, serialize_json=True)
 
 
-def get_cleaning_task_group(db_intern_conn) -> TaskGroup or None:
+def get_cleaning_task_group(db_intern_conn, control_s3: Dict[str, Any]) -> TaskGroup or None:
     group = None
     try:
         with TaskGroup(group_id="LimpiezaDelProceso", prefix_group_id=False) as group:
@@ -54,7 +72,13 @@ def get_cleaning_task_group(db_intern_conn) -> TaskGroup or None:
                     op_kwargs={'intern_conn': db_intern_conn}
                 ).expand(op_args=[[item] for item in cleaners])
 
-                init_task >> tasks
+                validate_task = PythonOperator(
+                    task_id="VALIDATE_CLEANER",
+                    python_callable=validate_clean,
+                    op_kwargs={'control_params': control_s3},
+                    trigger_rule='all_done'
+                )
+                init_task >> tasks >> validate_task
     except Exception as e:
         logger.error(f"Error creando taskGroup de limpiadores. {e}")
     finally:

dags/components/Control.py

+from components.Timezone import datetime_by_tzone
+from enums.ProcessStatusEnum import ProcessStatusEnum
+import logging
+from typing import Dict, Any, List, Tuple
+
+logger = logging.getLogger()
+
+
+def get_tasks_from_control(conf: List[Dict[str, Any]], type_task: str) -> Dict[str, Any]:
+    response = {'status': ProcessStatusEnum.SUCCESS.value, 'tasks': []}
+    try:
+        conf = conf[-1]
+        logger.info(f"Último proceso ejecutado: {conf}")
+        status = conf["status"]
+        if status == ProcessStatusEnum.FAIL.value:
+            response["status"] = ProcessStatusEnum.FAIL.value
+            success_tasks = conf["tasks"]
+            final_tasks = []
+            for key in success_tasks.keys():
+                if type_task.lower() not in key.lower():
+                    continue
+                task = success_tasks[key]
+                task_status = task["status"]
+                if task_status == ProcessStatusEnum.SUCCESS.value:
+                    command = task["description"]
+                    result = (key, command)
+                    final_tasks.append(result)
+            response["tasks"] = final_tasks
+    except Exception as e:
+        logger.error(f"Error obteniendo task fallidos desde control. {e}")
+    finally:
+        return response
+
+
+def update_new_process(conf: List[Dict[str, Any]], status: str, tasks: Dict[str, Any],
+                       timezone: str, delete_last: bool = False) -> List[Dict[str, Any]]:
+    try:
+        if delete_last:
+            print("CONF-TRANS:", conf)
+            last_tasks = conf[-1]["tasks"]
+            tasks.update(last_tasks)
+            print("LAST:", tasks)
+            conf.pop(-1)
+        current_datetime = str(datetime_by_tzone(timezone, '%Y-%m-%d %H:%M:%S'))
+        new_process = {"date": current_datetime, "status": status, "tasks": tasks}
+        conf.append(new_process)
+    except Exception as e:
+        logger.error(f"Error actualizando archivo de control. {e}")
+    finally:
+        return conf

dags/components/Databases/Mysql.py

@@ -39,7 +39,7 @@ class Mysql:
                 '__table_args__': {'extend_existing': True}
             })
             for field in fields:
-                logger.info(f"Attribute: {field}")
+                logger.debug(f"Attribute: {field}")
                 name = field[0]
                 if field[2] != -1:
                     size = int(field[2] / 4)

dags/components/Databases/Oracle.py

@@ -38,7 +38,7 @@ class Oracle:
                 '__table_args__': {'extend_existing': True}
             })
             for field in fields:
-                logger.info(f"Attribute: {field}")
+                logger.debug(f"Attribute: {field}")
                 name = field[0]
                 # Default precision for Integer Oracle : 38
                 if not isinstance(field[2], type(None)):

dags/components/Databases/Postgres.py

@@ -40,7 +40,7 @@ class Postgres:
                 '__table_args__': {'extend_existing': True}
             })
             for field in fields:
-                logger.info(f"Attribute: {field}")
+                logger.debug(f"Attribute: {field}")
                 name = field[0]
                 if field[2] != -1:
                     try:

dags/components/Generation.py

 from typing import Any, Dict
 import os
+import json
 from airflow.utils.task_group import TaskGroup
 from airflow.operators.python import PythonOperator
 from airflow.models import Variable
 
-from components.S3Route import save_df_to_s3
+from enums.ProcessStatusEnum import ProcessStatusEnum
+from components.S3Route import save_df_to_s3, load_obj_to_s3
 from components.Utils import select_multiple, create_temp_file, delete_temp_dir
+from components.Control import get_tasks_from_control, update_new_process
+from components.Xcom import delete_all_xcom_tasks
 from components.DatabaseOperation.DatabaseExtraction import get_iterator, get_steps
 
 import logging
@@ -13,6 +17,63 @@ import logging
 logger = logging.getLogger()
 
 
+def validate_generate(control_params: Dict[str, Any], timezone: str, **kwargs) -> None:
+    ti = kwargs["ti"]
+    success_tasks = ti.xcom_pull(task_ids="GENERATORS", key="SUCCESS_TASKS")
+    failed_tasks = ti.xcom_pull(task_ids="GENERATORS", key="FAILED_TASKS")
+    conf = ti.xcom_pull(task_ids="VALIDATE_TRANSFORMATION", key="CONTROL-CONFIG")
+    final_dict = {}
+    status = ProcessStatusEnum.SUCCESS.value
+    if not isinstance(success_tasks, type(None)) and len(success_tasks) > 0:
+        for success_task in success_tasks:
+            task = ti.xcom_pull(task_ids="GENERATORS", key=success_task)[0]
+            final_dict.update({success_task: task})
+    if not isinstance(failed_tasks, type(None)) and len(failed_tasks) > 0:
+        status = ProcessStatusEnum.FAIL.value
+        for failed_task in failed_tasks:
+            task = ti.xcom_pull(task_ids="GENERATORS", key=failed_task)[0]
+            final_dict.update({failed_task: task})
+    conf = update_new_process(conf, status, final_dict, timezone, True)
+    if status == ProcessStatusEnum.FAIL.value:
+        conn = control_params["connection_id"]
+        bucket = control_params["bucket"]
+        prefix = control_params["prefix"]
+        if not prefix.endswith("/"):
+            prefix += "/"
+        key = prefix + control_params["filename"]
+        conf = json.dumps(conf, indent=2, default=str)
+        loaded = load_obj_to_s3(bytes(conf.encode()), conn, bucket, key)
+        if loaded:
+            logger.info(f"Cargado correctamente el archivo de control en {key}")
+        delete_all_xcom_tasks()
+        raise AssertionError(f"Ocurrieron errores en la etapa de generación")
+    elif status == ProcessStatusEnum.SUCCESS.value:
+        ti.xcom_push(key="CONTROL-CONFIG", value=conf)
+
+
+def on_failure_generator(context) -> None:
+    ti = context["ti"]
+    task_name = f"{ti.task_id}_{ti.map_index}"
+    selects = Variable.get('GENERATES', default_var=[], deserialize_json=True)
+    table = selects[ti.map_index]
+    exception = str(context["exception"])
+    status = ProcessStatusEnum.FAIL.value
+    task_result = {"description": table, "status": status, "message": exception}
+    ti.xcom_push(key=task_name, value=task_result)
+    ti.xcom_push(key="FAILED_TASKS", value=task_name)
+
+
+def on_success_generator(context) -> None:
+    ti = context["ti"]
+    task_name = f"{ti.task_id}_{ti.map_index}"
+    selects = Variable.get('GENERATES', default_var=[], deserialize_json=True)
+    table = selects[ti.map_index]
+    status = ProcessStatusEnum.SUCCESS.value
+    task_result = {"description": table, "status": status, "message": ""}
+    ti.xcom_push(key=task_name, value=task_result)
+    ti.xcom_push(key="SUCCESS_TASKS", value=task_name)
+
+
 def generate_and_deploy(command: str, intern_conn, params: Dict[str, Any], timezone: str, chunksize=10000):
     engine = intern_conn.engine
     tablename = select_multiple(command)["tablename"]
@@ -22,7 +83,9 @@ def generate_and_deploy(command: str, intern_conn, params: Dict[str, Any], timez
     filename_mask = params["filename_mask"]
     file_type = params["file_type"]
     pattern = params["datetime_pattern"]
-    tmp_file = create_temp_file(filename_mask, file_type, tablename, timezone, pattern)
+    delimiter = params["delimiter"]
+    tmp_path = params["tmp_path"]
+    tmp_file = create_temp_file(tmp_path, filename_mask, file_type, tablename, timezone, pattern)
     logger.info(tmp_file)
     steps = get_steps(tablename, chunksize, engine, True)
     iterator = get_iterator(tablename, chunksize, engine)
@@ -34,7 +97,7 @@ def generate_and_deploy(command: str, intern_conn, params: Dict[str, Any], timez
             dataframe = next(iterator)
             dataframe = dataframe.drop("INTERN_ID_BCOM", axis=1)
             logger.debug(dataframe)
-            dataframe.to_csv(tmp_file, index=False, mode='a', header=header)
+            dataframe.to_csv(tmp_file, sep=delimiter, index=False, mode='a', header=header)
         except StopIteration:
             break
 
@@ -53,21 +116,28 @@ def generate_and_deploy(command: str, intern_conn, params: Dict[str, Any], timez
 
 
 def get_generate_from_xcom(**kwargs):
-    final_outputs = []
     task = kwargs['ti']
+    final_outputs = []
+    conf = task.xcom_pull(task_ids="VALIDATE_TRANSFORMATION", key="CONTROL-CONFIG")
+    tasks = get_tasks_from_control(conf, "generator")
+    success_tasks = tasks["tasks"]
+    success_tasks = [item[1] for item in success_tasks]
+    logger.info(f"GENERADORES QUE FUERON EXITOSOS (TABLAS): {success_tasks}")
     xcom_keys = task.xcom_pull(task_ids="SCRIPTS-EXTRACTOR", key="XCOM-EXTRACTION-NAMES")
     logger.debug(xcom_keys)
     for key in xcom_keys:
         if not key.startswith("SELECT"):
             continue
         xcom_outputs = task.xcom_pull(task_ids="SCRIPTS-EXTRACTOR", key=key)
-        logger.info(f"Trayendo comandos {xcom_outputs}")
+        logger.info(f"Trayendo tablas {xcom_outputs}")
         for select in xcom_outputs:
-            final_outputs.append(select)
+            if tasks["status"] == ProcessStatusEnum.SUCCESS.value or select not in success_tasks:
+                final_outputs.append(select)
     Variable.set(key='GENERATES', value=final_outputs, serialize_json=True)
 
 
-def get_generate_task_group(db_intern_conn, parameters: Dict[str, Any], timezone) -> TaskGroup or None:
+def get_generate_task_group(db_intern_conn, parameters: Dict[str, Any], control_s3: Dict[str, Any],
+                            timezone: str) -> TaskGroup or None:
     group = None
     try:
         with TaskGroup(group_id="GeneracionyDespliegueDeResultados", prefix_group_id=False) as group:
@@ -81,10 +151,18 @@ def get_generate_task_group(db_intern_conn, parameters: Dict[str, Any], timezone
                 tasks = PythonOperator.partial(
                     task_id="GENERATORS",
                     python_callable=generate_and_deploy,
+                    on_failure_callback=on_failure_generator,
+                    on_success_callback=on_success_generator,
                     op_kwargs={'intern_conn': db_intern_conn, 'params': parameters, 'timezone': timezone}
                 ).expand(op_args=[[item] for item in outputs])
 
-                init_task >> tasks
+                validate_task = PythonOperator(
+                    task_id="VALIDATE_GENERATOR",
+                    python_callable=validate_generate,
+                    op_kwargs={'control_params': control_s3, 'timezone': timezone},
+                    trigger_rule='all_done'
+                )
+                init_task >> tasks >> validate_task
     except Exception as e:
         logger.error(f"Error creando taskGroup de generadores. {e}")
     finally:

dags/components/Model/InsumoModel.py

 from sqlalchemy.ext.declarative import declarative_base
-from sqlalchemy import Column, Integer
+from sqlalchemy import Column, BigInteger
 
 Base = declarative_base()
 
@@ -8,4 +8,4 @@ class InsumoModel(Base):
 
     __abstract__ = True
 
-    INTERN_ID_BCOM = Column(Integer, primary_key=True, autoincrement=True)
+    INTERN_ID_BCOM = Column(BigInteger, primary_key=True, autoincrement=True)

dags/components/S3Route.py

 import fnmatch
 import datetime
 from typing import Any, Dict, List, Tuple
-
+import json
 import pytz
 from io import BytesIO, StringIO
 import pandas as pd
@@ -148,3 +148,27 @@ def get_files_from_prefix(conn: str, bucket: str, prefix: str) -> List[Tuple[str
         logger.error(f"Error extrayendo archivos en memoria desde bucket {bucket} y prefix {prefix}. {e}")
     finally:
         return result
+
+
+def get_file_from_key(conn: str, bucket: str, key: str) -> Any:
+    result = BytesIO()
+    try:
+        s3_hook = S3Hook(conn)
+        data = s3_hook.get_key(key, bucket)
+        data.download_fileobj(result)
+    except Exception as e:
+        logger.error(f"Error extrayendo archivo {key}. {e}")
+    finally:
+        return result
+
+
+def load_obj_to_s3(obj, conn: str, bucket: str, key: str, replace=True) -> bool:
+    load = False
+    try:
+        s3_hook = S3Hook(conn)
+        s3_hook.load_bytes(obj, key, bucket, replace)
+        load = True
+    except Exception as e:
+        logger.error(f"Error subiendo archivo de control a bucket {bucket} y key {key}. {e}")
+    finally:
+        return load

dags/components/Transformation.py

+import json
+from typing import Dict, Any
+
 from airflow.utils.task_group import TaskGroup
 from airflow.operators.python import PythonOperator
 from airflow.models import Variable
 
+from components.Control import get_tasks_from_control, update_new_process
+from components.S3Route import load_obj_to_s3
+from components.Xcom import delete_all_xcom_tasks
+from enums.ProcessStatusEnum import ProcessStatusEnum
+
 import logging
 
 logger = logging.getLogger()
 
 
+def validate_transform(control_params: Dict[str, Any], timezone: str, **kwargs) -> None:
+    ti = kwargs["ti"]
+    success_tasks = ti.xcom_pull(task_ids="TRANSFORMATIONS", key="SUCCESS_TASKS")
+    failed_tasks = ti.xcom_pull(task_ids="TRANSFORMATIONS", key="FAILED_TASKS")
+    conf = ti.xcom_pull(task_ids="VALIDATE_EXTRACTION", key="CONTROL-CONFIG")
+    final_dict = {}
+    status = ProcessStatusEnum.SUCCESS.value
+    if not isinstance(success_tasks, type(None)) and len(success_tasks) > 0:
+        for success_task in success_tasks:
+            task = ti.xcom_pull(task_ids="TRANSFORMATIONS", key=success_task)[0]
+            final_dict.update({success_task: task})
+    if not isinstance(failed_tasks, type(None)) and len(failed_tasks) > 0:
+        status = ProcessStatusEnum.FAIL.value
+        for failed_task in failed_tasks:
+            task = ti.xcom_pull(task_ids="TRANSFORMATIONS", key=failed_task)[0]
+            final_dict.update({failed_task: task})
+    conf = update_new_process(conf, status, final_dict, timezone, True)
+    if status == ProcessStatusEnum.FAIL.value:
+        conn = control_params["connection_id"]
+        bucket = control_params["bucket"]
+        prefix = control_params["prefix"]
+        if not prefix.endswith("/"):
+            prefix += "/"
+        key = prefix + control_params["filename"]
+        conf = json.dumps(conf, indent=2, default=str)
+        loaded = load_obj_to_s3(bytes(conf.encode()), conn, bucket, key)
+        if loaded:
+            logger.info(f"Cargado correctamente el archivo de control en {key}")
+        delete_all_xcom_tasks()
+        raise AssertionError(f"Ocurrieron errores en la etapa de transformación")
+    elif status == ProcessStatusEnum.SUCCESS.value:
+        ti.xcom_push(key="CONTROL-CONFIG", value=conf)
+
+
+def on_failure_transform(context) -> None:
+    ti = context["ti"]
+    task_name = f"{ti.task_id}_{ti.map_index}"
+    transform = Variable.get('TRANSFORMS', default_var=[], deserialize_json=True)
+    script = transform[ti.map_index][0]
+    exception = str(context["exception"])
+    status = ProcessStatusEnum.FAIL.value
+    task_result = {"description": script, "status": status, "message": exception}
+    ti.xcom_push(key=task_name, value=task_result)
+    ti.xcom_push(key="FAILED_TASKS", value=task_name)
+
+
+def on_success_transform(context) -> None:
+    ti = context["ti"]
+    task_name = f"{ti.task_id}_{ti.map_index}"
+    transform = Variable.get('TRANSFORMS', default_var=[], deserialize_json=True)
+    script = transform[ti.map_index][0]
+    status = ProcessStatusEnum.SUCCESS.value
+    task_result = {"description": script, "status": status, "message": ""}
+    ti.xcom_push(key=task_name, value=task_result)
+    ti.xcom_push(key="SUCCESS_TASKS", value=task_name)
+
+
 def transformations(xcom_commands: str, intern_conn):
     engine = intern_conn.engine
     script_name = xcom_commands[0]
@@ -14,27 +79,35 @@ def transformations(xcom_commands: str, intern_conn):
     logger.info(f"Ejecutando transformaciones del script {script_name}")
     with engine.connect() as connection:
         for command in commands:
-            logger.debug(f"Ejecutando comando de transformación: {command}")
+            logger.info(f"Ejecutando comando de transformación: {command}")
             _ = connection.execute(command)
 
 
 def get_trans_from_xcom(**kwargs):
+    task = kwargs['ti']
     transforms_per_file = []
     final_transforms = []
-    task = kwargs['ti']
+    conf = task.xcom_pull(task_ids="VALIDATE_EXTRACTION", key="CONTROL-CONFIG")
+    tasks = get_tasks_from_control(conf, "transformation")
+    success_tasks = tasks["tasks"]
+    success_tasks = [item[1] for item in success_tasks]
+    logger.info(f"SCRIPTS QUE FUERON EXITOSOS: {success_tasks}")
     xcom_keys = task.xcom_pull(task_ids="SCRIPTS-EXTRACTOR", key="XCOM-EXTRACTION-NAMES")
+    logger.debug(xcom_keys)
     for key in xcom_keys:
         if not key.startswith("TRANSFORM"):
             continue
         xcom_transforms = task.xcom_pull(task_ids="SCRIPTS-EXTRACTOR", key=key)
         logger.info(f"Trayendo comandos {xcom_transforms}")
-        for transform in xcom_transforms:
-            final_transforms.append(transform)
-        transforms_per_file.append((key, final_transforms))
+        if tasks["status"] == ProcessStatusEnum.SUCCESS.value or key not in success_tasks:
+            for transform in xcom_transforms:
+                final_transforms.append(transform)
+            transforms_per_file.append((key, final_transforms))
+    logger.info(f"Scripts para la transformación: {transforms_per_file}")
     Variable.set(key='TRANSFORMS', value=transforms_per_file, serialize_json=True)
 
 
-def get_transform_task_group(db_intern_conn) -> TaskGroup or None:
+def get_transform_task_group(db_intern_conn, timezone: str, control_s3: Dict[str, Any]) -> TaskGroup or None:
     group = None
     try:
         with TaskGroup(group_id="TransformacionDeDatos", prefix_group_id=False) as group:
@@ -48,10 +121,18 @@ def get_transform_task_group(db_intern_conn) -> TaskGroup or None:
                 tasks = PythonOperator.partial(
                     task_id="TRANSFORMATIONS",
                     python_callable=transformations,
-                    op_kwargs={'intern_conn': db_intern_conn}
+                    op_kwargs={'intern_conn': db_intern_conn},
+                    on_failure_callback=on_failure_transform,
+                    on_success_callback=on_success_transform
                 ).expand(op_args=[[item] for item in transforms])
 
-                init_task >> tasks
+                validate_task = PythonOperator(
+                    task_id="VALIDATE_TRANSFORMATION",
+                    python_callable=validate_transform,
+                    op_kwargs={'control_params': control_s3, 'timezone': timezone},
+                    trigger_rule='none_skipped'
+                )
+                init_task >> tasks >> validate_task
     except Exception as e:
         logger.error(f"Error creando taskGroup de transformación. {e}")
     finally:

dags/components/Utils.py

@@ -96,7 +96,11 @@ def update_sql_commands(dataset: List[Tuple[str, str]], label_tablename: str) ->
             add_next = False
             final_data = []
             table_name = ""
-            for item in data:
+            for index, item in enumerate(data):
+                if item.strip().startswith("--"):
+                    continue
+                if item.lower().strip() == "end":
+                    final_data[-1] = final_data[-1] + "; end;"
                 final_item = item
                 if item.lower().strip().find(label_tablename.lower().strip()+":") != -1:
                     init_index = item.lower().strip().index(label_tablename.lower().strip()+":")
@@ -109,12 +113,17 @@ def update_sql_commands(dataset: List[Tuple[str, str]], label_tablename: str) ->
                     final_item = item.strip()
                     table_name = ""
                 if final_item.strip()[:2] in comments and ("update " in final_item.lower() or "delete " in final_item.lower()):
-                    trans_index = final_item.lower().index("update")
-                    final_item = final_item[trans_index:]
+                    trans_index = final_item.lower().find("update")
+                    if trans_index != -1:
+                        final_item = final_item[trans_index:]
+                    delete_index = final_item.lower().find("delete")
+                    if delete_index != -1:
+                        final_item = final_item[delete_index:]
                 final_data.append(final_item)
             final_data = [item.replace("\t", "") for item in final_data if item != "" and ("select" in item or
                                                                                            "update" in item or
-                                                                                           "delete" in item)]
+                                                                                           "delete" in item or
+                                                                                           "begin" in item)]
             result.append((row[0], final_data))
             logger.info(f"Lista de comandos: {result}")
     except Exception as e:
@@ -145,13 +154,16 @@ def select_multiple(command: str) -> Dict[str, Any]:
         return response
 
 
-def create_temp_file(filename_mask: str, file_type: str, tablename: str, timezone: str, pattern: str) -> str:
+def create_temp_file(tmp_path: str, filename_mask: str, file_type: str, tablename: str, timezone: str,
+                     pattern: str) -> str:
     """ Create an output result as a file with a mask in the name
     """
     fullpath = ""
     try:
         dir_name = str(uuid.uuid4())
-        path_dir = "/tmp/" + dir_name
+        if not tmp_path.endswith("/"):
+            tmp_path += "/"
+        path_dir = tmp_path + dir_name
         os.mkdir(path_dir)
         current_datetime = str(datetime_by_tzone(timezone, pattern))
         filename_mask = filename_mask.replace("<source_name>", tablename)

dags/components/Xcom.py

 from airflow.utils.db import provide_session
+from sqlalchemy import or_
 from airflow.models import XCom
 import logging
 from typing import List, Tuple
@@ -7,7 +8,7 @@ logger = logging.getLogger()
 
 
 def save_commands_to_xcom(dataset: List[Tuple[str, List[str]]], task, extract_mask: str, transform_mask: str,
-                          order_delimiter: str) -> None:
+                          procedure_mask: str, order_delimiter: str) -> None:
     final_names_xcom = []
     try:
         for data in dataset:
@@ -24,6 +25,8 @@ def save_commands_to_xcom(dataset: List[Tuple[str, List[str]]], task, extract_ma
                 name = "SELECT|" + name
             elif name.find(transform_mask) != -1:
                 name = "TRANSFORM|" + name
+            elif name.find(procedure_mask) != -1:
+                name = "PROCEDURE|" + name
             task.xcom_push(key=name, value=data[1])
             final_names_xcom.append(name)
         task.xcom_push(key="XCOM-EXTRACTION-NAMES", value=final_names_xcom)
@@ -31,7 +34,7 @@ def save_commands_to_xcom(dataset: List[Tuple[str, List[str]]], task, extract_ma
         raise AssertionError(f"Error guardando comandos en variables en xcom. {e}")
 
 
-def save_names_to_xcom(value: str, task, task_name: str, key: str) -> None:
+def save_values_to_xcom(value: str, task, task_name: str, key: str) -> None:
     final_names_xcom = []
     try:
         xcom_names = task.xcom_pull(task_ids=task_name, key=key)
@@ -50,7 +53,10 @@ def delete_all_xcom_tasks() -> None:
     try:
         @provide_session
         def cleanup_xcom(session=None):
-            session.query(XCom).filter(XCom.task_id == "SCRIPTS-EXTRACTORS").delete()
+            session.query(XCom).filter(or_(XCom.task_id == "SCRIPTS-EXTRACTORS", XCom.task_id == "EXTRACTORS",
+                                           XCom.task_id == "GENERATORS", XCom.task_id == "TRANSFORMATIONS",
+                                           XCom.task_id == "VALIDATE_EXTRACTION", XCom.task_id == "VALIDATE_GENERATOR",
+                                           XCom.task_id == "VALIDATE_TRANSFORMATION")).delete()
         cleanup_xcom()
     except Exception as e:
         logger.error(f"Error borrando todas las variables xcom del DAG actual. {e}")

dags/control_example.json

+[{
+  "date": "2023-07-20 11:15:00",
+  "status": "success",
+  "tasks": {
+    "EXTRACTORS_1": {
+      "description": "select * from ABC",
+      "status": "success",
+      "message": ""
+    },
+    "EXTRACTORS_2": {
+      "description": "select * fromADA",
+      "status": "success",
+      "message": ""
+    },
+    "TRANSFORMATION_1": {
+      "description": "1.transformations1.sql",
+      "status": "success",
+      "message": ""
+    },
+    "GENERATOR_1": {
+      "description": "ABC_2022-07-20.txt",
+      "status": "success",
+      "message": ""
+    },
+    "CLEANER_1": {
+      "description": "ABC",
+      "status": "success",
+      "message": ""
+    }
+  }
+}
+]

dags/dag_conf.yml

@@ -13,7 +13,7 @@ app:
         schema: public
     transformation:
       type: mysql
-      host: 192.168.1.10
+      host: 192.168.1.11
       port: 13306
       username: root
       password: root
@@ -22,19 +22,28 @@ app:
       schema:
   chunksize: 50000
   label_multiple_select: TABLE
-  source_mask: select
-  transformation_mask: transform
+  source_mask: select  # Sufijo (S)
+  procedure_mask: procedure  # S
+  transformation_mask: transform  # S
   prefix_order_delimiter: .
   scripts:
     s3_params:
       bucket: prueba1234568
       prefix: bcom_scripts
       connection_id: conn_script
+  control:
+    s3_params:
+      connection_id: conn_script
+      bucket: prueba1234568
+      prefix: bcom_control
+      filename: control_example.json
   timezone: 'GMT-5'
   outputs:
     filename_mask: <source_name>_<datetime>
     datetime_pattern: '%Y-%m-%d %H:%M:%S'
     file_type: txt
+    delimiter: '|'
+    tmp_path: /tmp
     s3_params:
       bucket: prueba1234568
       prefix: bcom_results

dags/dag_transformacion_bcom.py

 from datetime import datetime
 import time
 from typing import Any, Dict
-
+import json
+from io import StringIO
 from airflow import DAG
 from airflow.operators.python import PythonOperator
 from airflow.utils.task_group import TaskGroup
 from components.Utils import update_sql_commands
 from components.Xcom import save_commands_to_xcom
-from components.S3Route import get_files_from_prefix
+from components.S3Route import get_files_from_prefix, get_file_from_key
 from components.Sensor import create_s3_sensor
 from components.Extractor import get_extract_task_group
 from components.Transformation import get_transform_task_group
 from components.Generation import get_generate_task_group
 from components.Cleaning import get_cleaning_task_group
+from enums.ProcessStatusEnum import ProcessStatusEnum
 
 from components.Databases.Database import Database
 import logging
@@ -20,9 +22,7 @@ import logging
 logger = logging.getLogger()
 
 
-DAG_NAME = "BCOM_DAG_TRANSFORMACIONES2"
-# TASK_NAMES = {'SENSORS': 'SCRIPTS_SENSORS', 'SCRIPT-EXTRACTION': 'SCRIPTS_EXTRACTOR', 'EXTRACTION': 'ExtraccionDeDatos',
-#               'TRANSFORMATION': 'TransformacionDeDatos', ''}
+DAG_NAME = "BCOM_DAG_TRANSFORMACIONES3"
 
 DEFAULT_ARGS = {
     'owner': 'BCOM',
@@ -35,54 +35,77 @@ DEFAULT_ARGS = {
 }
 
 
-def cleaning(intern_conn) -> TaskGroup:
+def cleaning(intern_conn, control_s3: Dict[str, Any]) -> TaskGroup:
     groups = None
     try:
-        groups = get_cleaning_task_group(intern_conn)
+        groups = get_cleaning_task_group(intern_conn, control_s3)
     except Exception as e:
         logger.error(f"Error general de transformación de datos. {e}")
     finally:
         return groups
 
 
-def generate_and_deploy_results(intern_conn, parameters: Dict[str, Any], timezone: str) -> TaskGroup:
+def generate_and_deploy_results(intern_conn, parameters: Dict[str, Any], timezone: str,
+                                control_s3: Dict[str, Any]) -> TaskGroup:
     groups = None
     try:
-        groups = get_generate_task_group(intern_conn, parameters, timezone)
+        groups = get_generate_task_group(intern_conn, parameters, control_s3, timezone)
     except Exception as e:
         logger.error(f"Error general de creación y despliegue de resultados. {e}")
     finally:
         return groups
 
 
-def transformation(intern_conn) -> TaskGroup:
+def transformation(intern_conn, timezone: str, control_s3: Dict[str, Any]) -> TaskGroup:
     groups = None
     try:
-        groups = get_transform_task_group(intern_conn)
+        groups = get_transform_task_group(intern_conn, timezone, control_s3)
     except Exception as e:
         logger.error(f"Error general de transformación de datos. {e}")
     finally:
         return groups
 
 
-def extraction(source_conn, intern_conn, chunksize: int = 100000) -> TaskGroup:
+def extraction(source_conn, intern_conn, timezone: str, control_s3: Dict[str, Any],
+               chunksize: int = 100000) -> TaskGroup:
     groups = None
     try:
-        groups = get_extract_task_group(source_conn, intern_conn, chunksize)
+        groups = get_extract_task_group(source_conn, intern_conn, chunksize, timezone, control_s3)
     except Exception as e:
         logger.error(f"Error general de extracción de datos. {e}")
     finally:
         return groups
 
 
+def extract_control(conn_id: str, bucket: str, prefix: str, filename: str, task):
+    try:
+        if not prefix.endswith("/"):
+            prefix += "/"
+        key = prefix + filename
+        logger.info(f"EXTRAYENDO ARCHIVO DE CONTROL DESDE {key}")
+        control = get_file_from_key(conn_id, bucket, key)
+        str_data = str(control.getvalue(), encoding='UTF-8', errors='ignore')
+        data = StringIO(str_data)
+        data = json.load(data)
+        if not data:
+            print("ACA", data)
+            data = [{"status": ProcessStatusEnum.SUCCESS.value, "tasks": []}]
+        task.xcom_push(key="CONTROL-CONFIG", value=data)
+    except Exception as e:
+        logger.error(f"Error general de descarga de archivo de control. {e}")
+
+
 def extract_scripts(conn_id: str, bucket: str, prefix: str, source_mask: str, transform_mask: str,
-                    order_delimiter: str, label_tablename: str, **kwargs):
+                    order_delimiter: str, procedure_mask: str, label_tablename: str, control_params: Dict[str, Any],
+                    **kwargs):
     try:
+        extract_control(control_params["connection_id"], control_params["bucket"], control_params["prefix"],
+                        control_params["filename"], kwargs['ti'])
         start_time = time.time()
         logger.info(f"EXTRAYENDO SCRIPTS DESDE {bucket}/{prefix}")
         scripts = get_files_from_prefix(conn_id, bucket, prefix)
         scripts = update_sql_commands(scripts, label_tablename)
-        save_commands_to_xcom(scripts, kwargs['ti'], source_mask, transform_mask, order_delimiter)
+        save_commands_to_xcom(scripts, kwargs['ti'], source_mask, transform_mask, procedure_mask, order_delimiter)
         logger.debug(f"Script cargados en Xcom: {scripts}")
         logger.info(f"Tiempo del Task de descarga de scripts: {round(time.time() - start_time, 3)} segundos")
     except Exception as e:
@@ -100,7 +123,7 @@ def set_dag():
     conf_path = "/root/airflow/dags/dag_conf.yml"
     with open(conf_path) as f:
         data = yaml.load(f, Loader=SafeLoader)
-        print(data)
+        logger.info(f"CONFIGURACIÓN: {data}")
         conf = data["app"]
     with DAG(DAG_NAME, default_args=DEFAULT_ARGS, description="Proceso que extrae y transforma",
              schedule_interval=conf["schedule"], tags=["DAG BCOM - SQL TRANSFORMATIONS"], catchup=True) as dag:
@@ -111,17 +134,22 @@ def set_dag():
             wildcard_scripts = scripts_s3["prefix"] + "/?*"
         sensor_scripts = create_s3_sensor("SCRIPTS-SENSOR", scripts_s3["connection_id"], scripts_s3["bucket"],
                                           wildcard_scripts)
+        control_s3 = conf["control"]["s3_params"]
+        # Scripts extraction
         extract_mask = conf["source_mask"]
         transform_mask = conf["transformation_mask"]
+        procedure_mask = conf["procedure_mask"]
         order_delimiter = conf["prefix_order_delimiter"]
         script_extractor = PythonOperator(
             task_id="SCRIPTS-EXTRACTOR",
             python_callable=extract_scripts,
             op_kwargs={'conn_id': scripts_s3["connection_id"], 'bucket': scripts_s3["bucket"],
                        'prefix': scripts_s3["prefix"], 'source_mask': extract_mask, 'transform_mask': transform_mask,
-                       'order_delimiter': order_delimiter, 'label_tablename': conf["label_multiple_select"]},
+                       'procedure_mask': procedure_mask, 'order_delimiter': order_delimiter,
+                       'label_tablename': conf["label_multiple_select"], 'control_params': control_s3},
             trigger_rule="all_success"
         )
+
         # Source Database configuration. Only we use 1 source
         source_params = conf["database"]["sources"]["source1"]
         source_db = Database(source_params["type"], source_params["host"], int(source_params["port"]),
@@ -138,18 +166,18 @@ def set_dag():
 
         # Creación de grupo de tasks para las extracciones
         chunksize = conf["chunksize"]
-        extractions = extraction(source_db, intern_db, chunksize)
+        timezone = conf["timezone"]
+        extractions = extraction(source_db, intern_db, timezone, control_s3, chunksize)
 
         # Creación de grupo de tasks para las transformaciones
-        transformations = transformation(intern_db)
+        transformations = transformation(intern_db, timezone, control_s3)
 
         # Creación de grupo de tasks para la generación y despliegue de archivos resultados
         outputs_conf = conf["outputs"]
-        timezone = conf["timezone"]
-        result = generate_and_deploy_results(intern_db, outputs_conf, timezone)
+        result = generate_and_deploy_results(intern_db, outputs_conf, timezone, control_s3)
 
         # Creación de tasks de limpiadores
-        cleaners = cleaning(intern_db)
+        cleaners = cleaning(intern_db, control_s3)
 
         sensor_scripts >> script_extractor >> extractions >> transformations >> result >> cleaners
     return dag

dags/enums/ProcessStatusEnum.py

+from enum import Enum
+
+
+class ProcessStatusEnum(Enum):
+    SUCCESS = "success"
+    FAIL = "failed"