Dependency | Reason |
---|---|
Trigger Rule | Task's trigger rule 'all_success' requires all upstream tasks to have succeeded, but found 1 non-success(es). upstream_tasks_state={'total': 1, 'successes': 0, 'skipped': 0, 'failed': 1, 'upstream_failed': 0, 'done': 1}, upstream_task_ids={'getDrowToken'} |
Dagrun Running | Task instance's dagrun was not in the 'running' state but in the state 'failed'. |
Task Instance State | Task is in the 'upstream_failed' state which is not a valid state for execution. The task must be cleared in order to be run. |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | def getInspectionData(**context):
token = context.get("ti").xcom_pull(key="token")
# mongo_conn = BaseHook.get_connection("mongo_conn")
# mongo_uri = f"mongodb://{mongo_conn.host}:{mongo_conn.port}"
# mongo_client = MongoClient(mongo_uri)
# mongo_db = mongo_client[mongo_conn.schema]
# workflow_collection = mongo_db['workflows']
# workflow_records = mongo_db['workflowrecords']
itp_response = requests.get(
url=f"{dRoW_api_end_url}/api/module/document-export/airflow/workflow/6780da3a19a6ea5c197f5e8a?export_type=0",
headers={
"x-access-token": f"Bearer {token}",
"ICWPxAccessKey": "5WSD21ICWP_[1AG:4UdI){n=b~"
}
)
ITP_Data = json.loads(itp_response.text)
risc_response = requests.get(
url=f"{dRoW_api_end_url}/api/module/document-export/airflow/workflow/6732d16bf0fd5b8f573d79ef?export_type=0",
headers={
"x-access-token": f"Bearer {token}",
"ICWPxAccessKey": "5WSD21ICWP_[1AG:4UdI){n=b~"
}
)
RISC_Data = json.loads(risc_response.text)
conn_string = getdrowPSQLConnectionString()
db = create_engine(conn_string)
conn = db.connect()
with conn as conn:
itp_df = pd.DataFrame()
for x in ITP_Data:
print("Data ITP:", x)
df_nested_list = json_normalize(x['data'])
df_nested_list['ITP ID'] = x['_id']
itp_df = itp_df.append(df_nested_list)
# print("ITP Dataframe:", itp_df.columns)
df = pd.DataFrame()
for x in RISC_Data:
print("Data RISC:", x)
df_nested_list = json_normalize(x['data'])
df = df.append(df_nested_list)
|
Attribute | Value |
---|---|
dag_id | hy202308_itp_dashboard |
duration | None |
end_date | 2025-06-06 08:03:56.154074+00:00 |
execution_date | 2025-06-06T07:57:20.070700+00:00 |
executor_config | {} |
generate_command | <function TaskInstance.generate_command at 0x7f6cbcea2320> |
hostname | |
is_premature | False |
job_id | None |
key | ('hy202308_itp_dashboard', 'getInspectionData', <Pendulum [2025-06-06T07:57:20.070700+00:00]>, 1) |
log | <Logger airflow.task (INFO)> |
log_filepath | /usr/local/airflow/logs/hy202308_itp_dashboard/getInspectionData/2025-06-06T07:57:20.070700+00:00.log |
log_url | http://localhost:8080/admin/airflow/log?execution_date=2025-06-06T07%3A57%3A20.070700%2B00%3A00&task_id=getInspectionData&dag_id=hy202308_itp_dashboard |
logger | <Logger airflow.task (INFO)> |
mark_success_url | http://localhost:8080/success?task_id=getInspectionData&dag_id=hy202308_itp_dashboard&execution_date=2025-06-06T07%3A57%3A20.070700%2B00%3A00&upstream=false&downstream=false |
max_tries | 1 |
metadata | MetaData(bind=None) |
next_try_number | 1 |
operator | None |
pid | None |
pool | default_pool |
prev_attempted_tries | 0 |
previous_execution_date_success | 2025-06-06 07:00:00+00:00 |
previous_start_date_success | 2025-06-06 15:03:06.646702+00:00 |
previous_ti | <TaskInstance: hy202308_itp_dashboard.getInspectionData 2025-06-06 07:00:00+00:00 [success]> |
previous_ti_success | <TaskInstance: hy202308_itp_dashboard.getInspectionData 2025-06-06 07:00:00+00:00 [success]> |
priority_weight | 1 |
queue | default |
queued_dttm | None |
raw | False |
run_as_user | None |
start_date | 2025-06-06 08:03:56.154055+00:00 |
state | upstream_failed |
task | <Task(PythonOperator): getInspectionData> |
task_id | getInspectionData |
test_mode | False |
try_number | 1 |
unixname | airflow |
Attribute | Value |
---|---|
dag | <DAG: hy202308_itp_dashboard> |
dag_id | hy202308_itp_dashboard |
depends_on_past | False |
deps | {<TIDep(Not In Retry Period)>, <TIDep(Trigger Rule)>, <TIDep(Previous Dagrun State)>} |
do_xcom_push | True |
downstream_list | [] |
downstream_task_ids | set() |
None | |
email_on_failure | True |
email_on_retry | True |
end_date | None |
execution_timeout | None |
executor_config | {} |
extra_links | [] |
global_operator_extra_link_dict | {} |
inlets | [] |
lineage_data | None |
log | <Logger airflow.task.operators (INFO)> |
logger | <Logger airflow.task.operators (INFO)> |
max_retry_delay | None |
on_failure_callback | None |
on_retry_callback | None |
on_success_callback | None |
op_args | [] |
op_kwargs | {'name': 'Dylan'} |
operator_extra_link_dict | {} |
operator_extra_links | () |
outlets | [] |
owner | airflow |
params | {} |
pool | default_pool |
priority_weight | 1 |
priority_weight_total | 1 |
provide_context | True |
queue | default |
resources | None |
retries | 1 |
retry_delay | 0:05:00 |
retry_exponential_backoff | False |
run_as_user | None |
schedule_interval | 0 7,15 * * * |
shallow_copy_attrs | ('python_callable', 'op_kwargs') |
sla | None |
start_date | 2023-01-17T00:00:00+00:00 |
subdag | None |
task_concurrency | None |
task_id | getInspectionData |
task_type | PythonOperator |
template_ext | [] |
template_fields | ('templates_dict', 'op_args', 'op_kwargs') |
templates_dict | None |
trigger_rule | all_success |
ui_color | #ffefeb |
ui_fgcolor | #000 |
upstream_list | [<Task(PythonOperator): getDrowToken>] |
upstream_task_ids | {'getDrowToken'} |
wait_for_downstream | False |
weight_rule | downstream |