diff --git a/aircan/dags/example_logs.py b/aircan/dags/example_logs.py
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+"""
+This DAG file shows logging in python in a way to be able to identify the run_id of every task
+
+Example log outputs are in order of task execution, and also each task has 2 logs corresponding to:
+ - first log shows the output of logging.info(...)
+ - second log shows the output of the automated logging done by AirFlow when receiving a return value
+
+### Local Run example:
+
+For task_id="log_context_1"
+
+    [2020-11-30 17:13:01,624] {example_logs.py:56} INFO - {"task_instance_key_str": "example_logs__log_context_1__20201130", "run_id": "RUNID-SSS-1234567890", "message": "This is My Log Message..."}
+    [2020-11-30 17:13:01,625] {python_operator.py:114} INFO - Done. Returned value was: {"task_instance_key_str": "example_logs__log_context_1__20201130", "run_id": "RUNID-SSS-1234567890", "message": "This is My Log Message..."}
+
+For task_id="dodo"
+
+    [2020-11-30 17:14:06,657] {example_logs.py:74} INFO - {"task_instance_key_str": "example_logs__dodo__20201130", "run_id": "RUNID-SSS-1234567890", "message": "I'm sleeping, let me rest..."}
+    [2020-11-30 17:14:06,757] {python_operator.py:114} INFO - Done. Returned value was: {"task_instance_key_str": "example_logs__dodo__20201130", "run_id": "RUNID-SSS-1234567890", "message": "I'm sleeping, let me rest..."}
+
+
+For task_id="log_context_and_parms_1"
+
+    [2020-11-30 17:15:11,656] {example_logs.py:56} INFO - {"task_instance_key_str": "example_logs__log_context_and_parms_1__20201130", "run_id": "RUNID-SSS-1234567890", "message": "This is My Log Message..."}
+    [2020-11-30 17:15:11,656] {python_operator.py:114} INFO - Done. Returned value was: {"task_instance_key_str": "example_logs__log_context_and_parms_1__20201130", "run_id": "RUNID-SSS-1234567890", "message": "This is My Log Message..."}
+
+### GCP Composer Run example:
+
+For task_id="log_context_1"
+
+    [2020-11-30 16:39:09,647] {base_task_runner.py:115} INFO - Job 42030: Subtask log_context_1 [2020-11-30 16:39:09,647] {example_logs.py:60} INFO - {"task_instance_key_str": "example_logs__log_context_1__20201130", "run_id": "manual__2020-11-30T16:38:47.518321+00:00", "message": "This is My Log Message..."}@-@{"workflow": "example_logs", "task-id": "log_context_1", "execution-date": "2020-11-30T16:38:47.518321+00:00"}
+    [2020-11-30 16:39:09,648] {base_task_runner.py:115} INFO - Job 42030: Subtask log_context_1 [2020-11-30 16:39:09,648] {python_operator.py:114} INFO - Done. Returned value was: {"task_instance_key_str": "example_logs__log_context_1__20201130", "run_id": "manual__2020-11-30T16:38:47.518321+00:00", "message": "This is My Log Message..."}@-@{"workflow": "example_logs", "task-id": "log_context_1", "execution-date": "2020-11-30T16:38:47.518321+00:00"}
+
+For task_id="dodo"
+
+    [2020-11-30 16:39:30,962] {base_task_runner.py:115} INFO - Job 42031: Subtask dodo [2020-11-30 16:39:30,962] {example_logs.py:78} INFO - {"task_instance_key_str": "example_logs__dodo__20201130", "run_id": "manual__2020-11-30T16:38:47.518321+00:00", "message": "I'm sleeping, let me rest..."}@-@{"workflow": "example_logs", "task-id": "dodo", "execution-date": "2020-11-30T16:38:47.518321+00:00"}
+    [2020-11-30 16:39:31,070] {base_task_runner.py:115} INFO - Job 42031: Subtask dodo [2020-11-30 16:39:31,070] {python_operator.py:114} INFO - Done. Returned value was: {"task_instance_key_str": "example_logs__dodo__20201130", "run_id": "manual__2020-11-30T16:38:47.518321+00:00", "message": "I'm sleeping, let me rest..."}@-@{"workflow": "example_logs", "task-id": "dodo", "execution-date": "2020-11-30T16:38:47.518321+00:00"}
+
+For task_id="log_context_and_parms_1"
+
+    [2020-11-30 16:39:54,571] {base_task_runner.py:115} INFO - Job 42032: Subtask log_context_and_parms_1 [2020-11-30 16:39:54,571] {example_logs.py:60} INFO - {"task_instance_key_str": "example_logs__log_context_and_parms_1__20201130", "run_id": "manual__2020-11-30T16:38:47.518321+00:00", "message": "This is My Log Message..."}@-@{"workflow": "example_logs", "task-id": "log_context_and_parms_1", "execution-date": "2020-11-30T16:38:47.518321+00:00"}
+    [2020-11-30 16:39:54,571] {base_task_runner.py:115} INFO - Job 42032: Subtask log_context_and_parms_1 [2020-11-30 16:39:54,571] {python_operator.py:114} INFO - Done. Returned value was: {"task_instance_key_str": "example_logs__log_context_and_parms_1__20201130", "run_id": "manual__2020-11-30T16:38:47.518321+00:00", "message": "This is My Log Message..."}@-@{"workflow": "example_logs", "task-id": "log_context_and_parms_1", "execution-date": "2020-11-30T16:38:47.518321+00:00"}
+
+
+
+"""
+import logging
+import datetime
+import time
+from pprint import pprint
+
+## for the logging to identify each dag,task and run
+import json
+import copy
+
+# Third-party library imports
+from airflow import DAG
+from airflow.exceptions import AirflowException
+
+from airflow.models import Variable
+from airflow.operators.python_operator import PythonOperator
+from airflow.utils.dates import days_ago
+
+default_args = {"owner": "airflow", 
+                "start_date": days_ago(0),
+
+}
+
+# to identify the run the task needs to have hands on the context
+def _log_context(**context):
+    try:
+        # for logging a message please do it this way, so the run is able to be identified
+        log_id = {
+            'task_instance_key_str': context['task_instance_key_str'],
+            'run_id': context['run_id']
+        }
+        my_log = copy.deepcopy(log_id)
+        my_log['message'] = "This is My Log Message..."
+        jsn_log = json.dumps(my_log)
+        logging.info(jsn_log)
+        return jsn_log
+    except:
+        logging.error("context does not have run_id ")
+    # logging.info("LOGGING context = ", context)
+    # you can also implicitly log by returning a string here, if so, please use the same method as before
+    return f"Log test returned without being able to create a nice message"
+    
+
+def sleep_foo(**kwargs):
+    try:
+        log_id = {
+            'task_instance_key_str': kwargs['task_instance_key_str'],
+            'run_id': kwargs['run_id']
+        }
+        my_log = copy.deepcopy(log_id)
+        my_log['message'] = "I'm sleeping, let me rest..."
+        jsn_log = json.dumps(my_log)
+        logging.info(jsn_log)
+        time.sleep(0.1)
+        return jsn_log
+    except:
+        logging.error("context does not have run_id ")
+        
+    # pprint("Context as KWARGS: " + str(kwargs))
+    # time.sleep(0.1)
+    return f"Back from Sleep without message"
+
+
+dag =  DAG(dag_id="example_logs", 
+           default_args=default_args, 
+           schedule_interval=None, 
+           )
+
+dodo = PythonOperator(
+    task_id="dodo",
+    provide_context=True,  # Needs this to be able to identify the run in the log
+    python_callable=sleep_foo,
+    dag=dag
+)
+
+log_context_1 = PythonOperator(
+    task_id="log_context_1",
+    provide_context=True,  # Needs this to be able to identify the run in the log
+    python_callable=_log_context,
+    dag=dag
+)
+    
+log_context_and_parms_1 = PythonOperator(
+    task_id="log_context_and_parms_1",
+    provide_context=True,  # Needs this to be able to identify the run in the log
+    python_callable=_log_context,
+    dag=dag
+)
+
+log_context_1 >> dodo >> log_context_and_parms_1