airflow does not satisfy task dependencies - airflow

Question

I have a simple airflow workflow composed of two tasks. One does make a download of a csv file containing stock data. The other extracts the maximum stock price and write the data to another file.
If I run the first task and then the second everything works fine, instead if execute: airflow run stocks_d get_max_share it fails to meet the dependency.
import csv
from datetime import datetime
from datetime import timedelta
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
import requests
def get_stock_data():
url = "https://app.quotemedia.com/quotetools/getHistoryDownload.csv?&webmasterId=501&startDay=02&startMonth=02&startYear=2002&endDay=02&endMonth=07&endYear=2009&isRanged=false&symbol=APL"
try:
r = requests.get(url)
except requests.RequestException as re:
raise
else:
with open('/tmp/stocks/airflow_stock_data.txt', 'w') as f:
f.write(r.text)
def get_max_share():
stock_data = []
stock_max = {}
with open('/tmp/stocks/airflow_stock_data.txt', 'r') as f:
stock_reader = csv.reader(f)
next(stock_reader, None)
for row in stock_reader:
stock_data.append(row)
for stock in stock_data:
stock_max[stock[2]] = stock[0]
with open('/tmp/stocks/max_stock', 'w') as f:
stock_price = max(stock_max.keys())
stock_max_price_date = stock_max[stock_price]
stock_entry = stock_max_price_date + ' -> ' + stock_price
f.write(stock_entry)
default_args = {
'owner': 'airflow',
'depends_on_past': False,
'start_date': datetime(2017, 5, 30),
'email': ['mainl#domain.io'],
'email_on_failure': False,
'email_on_retry': False,
'retries': 1,
'retry_delay': timedelta(minutes=5),
'catchup': False,
}
dag = DAG('stocks_d', default_args=default_args, schedule_interval=timedelta(minutes=5))
task_get_stocks = PythonOperator(task_id='get_stocks', python_callable=get_stock_data, dag=dag)
task_get_max_share = PythonOperator(task_id='get_max_share', python_callable=get_max_share, dag=dag)
task_get_max_share.set_upstream(task_get_stocks)
Any ideas why does that happen ?

Answer 1

$ airflow run stocks_d get_max_share
Above command only run get_max_share task not the previous task before running it.
If you need to check the whole dag running, try below command
$ airflow trigger_dag stocks_d