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Aaron Liblong commented on AIRFLOW-6011: ---------------------------------------- That documentation on packaged DAGs says the following: {quote} {code:java} my_dag1.py my_dag2.py package1/__init__.py package1/functions.py {code} {quote} {quote}Airflow will scan the zip file and try to load my_dag1.py and my_dag2.py. It will not go into subdirectories as these are considered to be potential packages. {quote} My issue is that Airflow _did_ look in the subdirectory, and specifically for files containing the character sequence "DAG". > Airflow treats local dependencies as DAG files if they contain the string > "DAG" > ------------------------------------------------------------------------------- > > Key: AIRFLOW-6011 > URL: https://issues.apache.org/jira/browse/AIRFLOW-6011 > Project: Apache Airflow > Issue Type: Bug > Components: DAG, dependencies > Affects Versions: 1.10.2 > Reporter: Aaron Liblong > Priority: Major > > Our Airflow instance uses what I believe is a common pattern of having a > directory for DAG dependencies within the main {{dags}} directory itself. > E.g.: > {code:java} > dags > | - dag1.py > | - dag2.py > | - dependencies > | | - dependency1.py > | | - dependency2.py > {code} > > Then {{dag1.py}} contains something like {{import dependency1}}. > The dependencies are normally not treated like DAG files themselves, as > expected. However, when they contain the string "DAG", even in a comment, > they _will_ be treated as DAG files. I'm guessing this is the result of > Airflow doing a recursive grep for that exact (case-sensitive) string. This > is not intuitive behaviour for users, and is hard to debug, since users will > reasonably expect non-directive comments not to have an effect on how their > code will being treated. -- This message was sent by Atlassian Jira (v8.3.4#803005)