Airflow cannot import due to doesn t look like a module path glue import GlueJobOperator from airflow. No module error, code package your code into a Python package and install it together with Airflow. This caused my scheduler to not have the required packages which caused the import errors. , threading_example. path in your conf. I have been 6 hours trying to figure out why doesn't the django_embed_video module work as supposed. So it would be usefull when you would refer to the utils module from outside the objects_detection folder. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. py, and then, in the pipeline. data_collect. A A better fix than setting PYTHONPATH is to use python -m module. Then do one of the following, as described in the documentation:. ") from myproject import tasks The second option is to move myproject under the dag folder: airflow +-- dag +--- myproject from airflow. py models. ipynb) and couldn't import tensorflow even though it installed properly. js installed (or, at least 13. today() - timedelta(7), datetime. python_operator import PythonOperator from airflow import DAG from MODULE_PATHS import PATH_MODULES_DIRECTORY import datetime import sys sys. 0. ├── README. py:51} INFO - Using executor LocalExecutor [2019 What version of Airflow are you using? If you are using Airflow 1. my_operators import MyFirstOperator If that doesn't work, check your web server log on startup for more information. 0: you need to use Mssql backport provider package: pip install apache-airflow-backport-providers-microsoft-mssql In your code it's the same import path (regardless of the package). I have to work on a shared Airflow 1. In addition to the answers above, note by default(if the "type" is omitted) the "type" is "commonjs". combine(datetime. Try to find the the location. Any other path has to be added to system path, as described in airflow module management. Cannot find module 'google-cloud/pubsub' when deploying app. Note that WSL is Windows Subsystem for Linux, which you can get for free in the Windows store. plugin_type instead. @gimel's answer is correct if you can guarantee the package hierarchy he mentions. I tried separate "write file" and "read file" functions in a blank python document and that ran fine so I'm guessing this is an airflow quirk I'm unaware of. Airflow throws warning "Import from airflow. file1 which implies another __init__. ModuleNotFoundError: no module named bs4 Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. txt and mounting the file. What's the correct way to go about this? Submodules under dags path wasn't loaded due different base path (this fixed importing own modules under dags folder ; It looks like your python environment is degraded Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. Airflow has Modules Management documentation that explains it thoroughly. The reason for this problem is that you asking to access the contents of the module before it is ready -- by using from x import y. You can also organize functions into multiple . aws. I'm doing Airflow 1. the conflict lead to python stop work. 2. py imports stuff and b. 0 you will need to install providers: pip install apache-airflow-providers-mysql then you can import the hook via: from airflow. Choices include # ``SequentialExecutor``, ``LocalExecutor``, ``CeleryExecutor``, ``DaskExecutor``, # ``KubernetesExecutor``, ``CeleryKubernetesExecutor`` or the # full import path to the class when using a custom executor. py Types of circular import problems. py from airflow. Python doesn't see added module to the same dir. 4 given its full path? A similar question How to import a module given the full path? covers Python versions before 3. The reason is I have some dag files name email. mysql import MySqlHook Solved the issue with below solution : Basically the issue due to _bz2. cfg ├── airflow. python import PythonOperator from etl_package. I ran into the same problem of importing Beautiful soup when attempting to run airflow via docker. So, you have explicitly specify the type when it's "module". I ran pip install command in the console which returned requirement already satisfied. Greetings everyone, Can you help me with setting up my LocalExecutor? I have been using Airflow with SequentialExecutor and SQLite, but have decided to start working on LocalExecutor with Postresql AttributeError: partially initialized module 'turtle' has no attribute 'Turtle' (most likely due to a circular import) [duplicate] Ask Question Asked 4 years, 10 months ago I am trying to write a custom operator and sensor in apache-airflow. py in each parent folder (and I followed the tutorial about plugins. insert but that is not working. Look at the top of your conf. 10 reached end-of-life in June 17th 2021 and it will no longer receive even critical security fixes. This will correctly set sys. db ├── dags │ ├── dags_here. py file I added this path to env using. executor = CeleryExecutor I ran into the same problem with pycharm where my modules wouldn't import after installing them on ubuntu with pip. from airflow import DAG from airflow. The problem here happens also when enabling the faulthandler standard library in an Airflow task. path approach as I read on a stackoverflow answer You signed in with another tab or window. conf file. You have to include the path to your modules in in the sys. 6 I found that I was still getting these ImportError: cannot import name Celery. py └── plugins ├── __init__. In your case, Airflow comes pre-installed with example DAGs, which were parsed when you ran airflow initdb. I have the files but there is no installation file for it, so I added the module to PATH variable, even then it doesn't work I try to import it. 10 project, so I have cloned the repository and the structure is as follow: airflow ├── airflow. I'm working on some django apps, pretty noob still. The three things I tried were: Install Airflow directly into Windows 10 - This attempt failed. py I'm trying import my module like this: from labs import db_connection. In your case the module you wish to import exist in the DAG folder (Which already exist in PYTHONPATH) so you can simply import it with a path relative to your DAG folder. docker exec -it /bin/bash "your_webserver_container_name" you can navigate your container's directories. command' It seems like python is not able to detect or search the bs4 module. For those running a docker version. ')) and this package will be installed, but still editable (so changes to the code will be seen when importing the package). py was run from. providers. psm1 files and have them loaded by a That's how I created the DAG file dataflow. py), regardless of whether they had underscores in their names or not. util. py and b. My requirements. module from package import module import package from module import component from package. import module import package # imports package. As far as your code is concerned, they are just normal python statements that you Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I'm trying to import a custom module to my Airflow DAG. If it doesn't have a Then I changed the import lines in app "ImportError: cannot import name 'convert_from_path' from partially initialized module 'pdf2image' (most likely due to a circular import)" Ask Question Asked 4 years, 11 months ago If possible get your code running without touching docker run it directly on your host of course this means your host ( your laptop or wherever you are executing your commands, could be a remote VPS debian box ) must have the same OS as your Dockerfile, I see in this case FROM python:3. subdag_operator import SubDagOperator from airflow. Modified 4 years, It seems that Cloud Composer does not like when dependencies try to import other dependencies (see comments below). password_auth when I run command I am trying to use Airflow to execute a simple task python. The Django fails upon server startup trying to import module ("doesn't look like a module path") Ask Question Asked 3 years, 9 months ago. When doing so it breaks because models/__init__. I have one testing module that I want to use for android testing. 1. dummy import DummyOperator For Airflow <2. . The documentation for Airflow has examples how you can add custom modules for use in DAGs here. import_module(path, package=". Here a simplifed version of my project : airflow_home ├── dags │ └── etl. what is my worng? Issue when start airflow celery worker : ImportError: cannot import name 'FlowerCommand' from 'flower. 2. a. 7. I read the official documentation on Module Management of apache airflow but still cannot figure out. decorators import dag from airflow. But when I run the webserver or scheduler, I get 'module not defined' (init. This is actually one of the most annoying "features" in Python, which otherwise is an elegant language. For default Airflow operators, file paths must be relative (to the DAG folder or to the DAG's template_searchpath property). That hook furthermore depends on the tenacity library, which tries to import an async module as part of initialization: from tenacity. The problem occurs because in vector you demand that entity be made available for use immediately, and vice versa. py │ ├── dag I just encountered the same issue as your mentioned. datetime( 2018, 8, 20 ) } with DAG( "run_dag_v1", Finally I solved the issue, I discard all previous work, and restart DOCKERFILE using an UBUNTU base image, and not puckel/docker-airflow image which is based in python:3. Modified 3 years, in import_string raise ImportError("%s doesn't look like a module path" % dotted_path) from err ImportError: django_countries doesn't look like a module path The above exception was the I was just testing this module but I can't gei it to work. I installed airflow within one of my Anaconda envs named engdados. What you think should happen Traceback (most recent call last): File "elasticsearch. Thank you for the thought. js │ ├── tscript │ │ └── tscript. from Chess import <class-name> If that doesn't work, you can try (as others have said): from . I'm pretty sure your import statement needs to be fully qualified starting with wherever If someone has found this post through search engine and doesn't want to read the Airflow's Modules Management page, here is a solution to the original poster's question. py, the statement from airflow import DAG ends up trying to import DAG from the script itself, not the airflow package. x; python-import; airflow; or Anecdotal, but whilst this is a solution, I think it's the wrong solution for the OP, who seems pretty new. I am able to solve this issue by using below import: from airflow. Maybe the bridge version doesn't support this just Airflow 2? – KristiLuna. 0 you will need to install backport providers: pip install apache-airflow-backport-providers-mysql For Airflow >=2. 7) and Python 3 compatible; It depends (most likely, indirectly) on [PyPI]: Marshmallow-SQLAlchemy (pip automatically installs it as a dependency), and uses it (indirectly, via Flask-AppBuilder) at runtime; Marshmallow-SQLAlchemy requires Python 3. I am trying to deploy an Airfow DAG to MWAA. py I'm path = f"{model_name. If you can't -- if your real need is as you expressed it, exclusively tied to directories and without any necessary relationship to packaging -- then you need to work on __file__ to find out the parent directory (a couple of os. Next, I write the . py From class A in fields. Reload to refresh your session. if your data file is there somewhere, you have to use that path. path through sys. py) To resolve, the import of B should come before the import of A in __init__. You can follow this instructions to do that. Creating a redundant python file only to solve this doesn't seem like a clean solution. py by giving it a absolute path like this path=join(dirname(os. ImportError: No module named bs4 BeautifulSoup not working cannot import name 'BeautifulSoup' from partially initialized module 'bs4' 0. You cannot use an import statement outside a module. lower()}s" model = importlib. Please rename your program (e. When I execute the command airflow initdb I'm getting the following error: airflow initdb: cannot import name 'Pendulum' from 'pen This occurred due to several Kubernetes pods not being re-built. I fixed it by adding && pip install pymongo \ to puckel/airflow:Dockerfile, near the other pip install commands and rebuilding the image. I found that a solution was not to rely on from __future__ import absolute_import as described in First Steps with Django. py was Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. from __future__ import print_function from airflow. When Airflow attempts to import the DAG, I cannot find any log messages, from the web server, scheduler, or worker, that would indicate a problem, or what the specific problem is. py files the same as built-in modules or 3rd party packages you have installed. 3, looks like the sensors have been moved. py", line 1, in <module> from elasticsearch import Elasticsearch ImportError: cannot import name 'Elasticsearch' from partially initialized module 'elasticsearch' (most likely due to a circular import That's going to print out a list of all paths where the interpreter will look for modules. I've found this exception to be I am having a problem importing modules in my iPython/Jupyter notebook. I don't use any other user that its not root know. python; python-3. I read up a little about it and apparently Airflow loads the plugins into its core module so they can be imported like # my_operator. /. I solved the problem in utils. My advice to any data engineer just getting started is you really need to dive deep and figure out how things actually work. cloud' (unknown Exception Value: message doesn’t look like a module path weixin_慕粉1025184 2019-04-01 17:42:31 源自：3-2 配置表单页面 After changing the airflow. py a. abspath('. line 3, in <module> from datetime A circular dependency issue, also known as circular reference or circular import, occurs when two or more modules or components depend on each other in a way that creates a loop. py scripts. if you use docker compose as recommended by the official Airflow documentation on Docker setup, then you can specify additional dependencies with _PIP_ADDITIONAL_REQUIREMENTS environment variable (also could be put into . Consider the following example python package where a. py). py: @JavierLópezTomás it would be sensitive to the directory and file layout; here the tasks directory with __init__. Follow Using Airflow 2. It resolves the Pub/Sub integration with Airflow DAG. from utils import utils_image without mentioning the objects_detection as objects_detection is just a namespace package. 3. dirname calls will do;-), then (if that directory is not With Django 1. cfg and you should be able to see your logs. This is similar to Package import failure in Python 3. 0, use the following: Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. min. airflowignore file. models") Doesnt work either - but plainly importing from . Created a model with VideoEmbed Field. with my the docker version it moves it to another container to run, which of course when it is run would not have the script file on. py __init__. You signed out in another tab or window. 11), so I put all my scripts in airflow/my_scripts and exported the airflow path to PYTHONPATH export PYTHONPATH="${PYTHO One option is to set the path just before importing myproject: #mydag. [operator_module I have a folder structure: root_folder - file. Set logging_level = INFO instead of WARN in airflow. The Airflow StreamLogWriter (and other log-related facilities) do not implement the fileno method expected by "standard" Python (I/O) log facility clients (confirmed by a todo comment). task_group import TaskGroup sys. py puts path/to on the beginning of the PYTHONPATH (sys. E. I think you're confused on the {AIRFLOW_HOME}/plugins directory. jsx │ ├── tjs │ │ └── tjs. path) Apache Airflow version 2. py │ └── my_DAG. /") While this worked when I ran comp. Circular import dependencies typically fall into two categories depending on what you're trying to import and where you're using it inside each module. sensors. path is pointing to. It can be solved without any structural modifications to the code. lazy() does exa If I'll move the import to the main dag file (like with PythonVirtualenvOperator) - it will work fine but I want the file from the virtualenv. To install this module, open your cmd or Do that wherever Airflow is running, then "import praw" at the top of your DAG (or whatever Python callable your DAG is triggering). Asking for help, clarification, or responding to other answers. You can click the '+' on the right hand side and import modules into the interpreter. cfg file correctly reflects the ~/airflow/dags folder I think you mean you defined dags_folder = ~/airflow/dags what if a is already imported using importlib e. py and This will give ImportError: cannot import name 'B' from partially initialized module 'models' (most likely due to a circular import) (/models/__init__. folder. Note that this question is not a duplicate of Import abitrary python source file. s3 import S3KeySensor Airflow throws warning "Import from airflow. For example, I have following in my testing environment: Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. Not sure if that's your issue but hope this helps. x, use the following: from airflow. 10, the following import works fine: from airflow. For example, test. client import models as k8s from _base import start_here, finish, dummy_task, task_factory Autodoc can't find your modules, because they are not in sys. mysql. It’s hard to say without seeing it but it sounds like you’re looking for the script in the wrong module path. module1 import * Your original way of importing the module has no problem as long as airflow could identify where you put your /dags. py managers. txt: apache-airflow[amazon] == 3. It looks fine but when I try to run the following command airflow dags list-import-errors I get an error: ImportError: cannot import name 'db_connection' from 'labs' my airflow is not installed on Docker. Resolving the modulenotfounderror: no module named airflow is an easy task. This does not resolve my issue. 5. py, and you are importing a module also called threading. 0 I import EcsOperator like this: from airflow. run import run_function default_args = { "start_date": datetime. 2 the import should be: from airflow. 2, it gives following error: Import Error:- Cannot import name "DUMMY OPERATOR" from airflow operators. Do I have to paste them in Python folder only (and what it the Python file location). I will facing the issue even I just import pandas lib. ipynb could import tensorflow, but test_test. I've tried exporting PYTHONPATH in the Airflow user accounts . py core/ fields. In the file my_dag. For airflow DAG, when you import your own module, you need make sure 2 things: Not the answer you're looking for? Browse other questions tagged . This is particularly useful when your modules are not in the Python's default search path or when you want to test a new version of a module. So what to do at this point? Aside opening an issue or sending a PR to Airflow, it Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. For example, an airflow operator getting deprecated will generate an airflow event that gets logged as WARN. I have also tried this import sys. Airflow backported the provider to ease migration from Airflow 1 to Airflow 2 so upon upgrading you will not need to change the import paths. py my_DAG. It basically has 3 operators and 1 sensor the first operator/task will call some python method and print on the console some message. 7, whereas I had downloaded the absl module for python3 via pip3. py so in the above case dag1 imports model1. When you name your Python script airflow. common_modules. I'm trying to implement a contextual sidebar based on the route. path If the first few paths don't show 'envs/tensorflowproblem' as part of them it would explain the issue. From the Python tutorial: The __init__. My PYTHONPATH points to the correct directories where these modules resides. dropbox_download_file import DownloadMoveFiles as dlm with DAG("mydag", start_date=datetime(2020, 1, 1), schedule_interval="@daily", catchup=False) The latest versions of Airflow uses the package name apache-airflow "I'm attempting to test a DAG locally, and have setup Airflow locally in Docker. Whenever airflow schedules I'm trying to import the PostgresOperator from the airflow package: from airflow. import sys airflow@airflow-webserver-78bc695cc7-l7z9s:~$ airflow list_tasks helloWorld [2020-07-08 15:37:24,309] {settings. In airflow, it imports other packages like pandas and tensorflow but not custom packages. append(os. bash import BashOperator import time as tm import pickle, os, datetime, json, requests, locale from datetime import datetime, date, time, timedelta from yahoo_fin import options as op import yfinance as yf if you're in a container, the container will have its own paths. I looked online also and find : Can't import Airflow plugins But the top answer doesn't help me either. 15 which is the bridge version to Airflow 2. ps1 What I want to do is specify the relative path in Script2. py - airflow - dags - dag1. configure_orm(): Using pool settings. models import DAG from datetime import datetime, timedelta from pprint import pprint seven_days_ago = datetime. Airflow 1. The PYTHONPATH is an environment variable that is used when a script is run. py When you try and import a library python searches for the module name in a specific series of steps. It seems like the program file you have created is named threading. This causes a circular import because your file is shadowing the built-in module. you could test this theory by opening a notebook and running: import sys sys. The changes to import path is only valid in 2. Airflow adds How to solve “no module named airflow” in Python. Before you go exploring that, try out navigating your container. py b. cfg # The executor class that airflow should use. bashrc but doesn't seem to be read when the dag jobs are executed. so Linux package file. dummy_operator import DummyOperator from airflow. Share. Since your file doesn't have a Pool function, it cannot import it. ps1 in the directory hierarchy. ecs_operator import EcsOperator Ho Looks like is related to the second line of the my_airflow_plugin. py the package to import would be like: from my_modules import commons It should work fine, since the folder directory is understandable for the VM. The following article will describe how you can create your own module I cannot import from a module in the base dags folder, nor can I import from packages laid out exactly like the documentation in Module Management > Typical structure of packages. cloud. operators import MyFirstOperator According to the airflow article on plugins, it should be: from airflow. If you inspect it, there's a piece of code in it that does all of the airflow init stuff. g. I had this same issue, took me a while to realise the problem, the behaviour can be different with docker. import sys import os sys. postgres import PostgresOperator But I'm getting the following error: Cannot find reference 'postgres' in imported module airflow. I don't understand why this is breaking the Dag, by the time Task 2 needs to read the file, Task 1 will have created it. Commented Apr 25, 2021 at 1:51. 4 is deprecated for the presented answers, so any solution for Python 3. I tried adding root folder to sys. import_module("a"), how can we then import b? from a import b does not work (no module name 'a'), if we don't want to import a again (which, for some reason, might have changed from the first import) – The Airflow documentation page you're referring to says this about packaged DAGs: To allow this you can create a zip file that contains the DAG(s) in the root of the zip file and have the extra modules unpacked in directories. But only when running tests under PyCharm 4. py loads the file. sql import SQLExecuteQueryOperator class [PyPI]: Apache-AirFlow is Python 2(. __init__ under the name package import package. my_hook import MyHook So I changed all the imports to read directly from airflow. Did you COPY or mount your data file inside the container. Three Basic Options. path[0] and is a more reliable way to execute modules. cpython-36m-x86_64-linux-gnu. logging_level logs when airflow events reach those log levels. File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'my_package' >>> import os from airflow import DAG from airflow. Short of doing above launch a I cannot seem to solve a module import issue with Visual Studio Code: I've a setup a sample repo to illustrate this problem, with a directory structure like this: tree -I node_modules . 5, Celery 3. my_module import main as my_module my_module() check_database = PythonVirtualenvOperator( task_id="my_module", python_callable=my_module_virtualenv, requirements=["psycopg2 For Airflow<2. Sometimes it won't work. Make sure to install whatever version of Airflow you trying to recreate. By the way: you can use the Makefile created by Sphinx to create your documentation. postgres. Instead I renamed proj/proj/celery. ldap_auth. import-module XMLHelpers It doesn't work and I get the error: Import-Module : The specified module 'xmlhelpers' was not loaded because no valid module file was found in any module directory. That assumption might be fine in some build I've installed the airflow on docker and i'm trying to create my first DAG, but when i use the command FROM airflow import DAG and try to execute it gives an import error. dirname(__file__), '. kubernetes_engine import ( GKEStartPodOperator, ) from airflow. py models/ products. Trying to runserver or shell: $ python manage. py", line 1, in <module> from elasticsearch import Elasticsearch File "/app/elasticsearch. Airflow - no module named "airflow Following Format Airflow Logs in JSON and the guide mentioned in it, I copied log_config to airflow/config folder. 17, and Python 2. load_source. However, I would like to understand if there is any way to kick-off the DAG automatically whenever a new messages arrives on the Pub/Sub topic. realpath(__file__)), 'credentials. env file in the same folder). Typically I would add custom modules to the DAGs directory, and include an . Some of those DAGs make use of the SimpleHttpOperator which depends on http_hook. path. append(<absolute-path-to-your-directory>) from Chess import <class-name> The first example worked fine for me in python 3. I have followed the directions provided in this document to create the dag, plugins, and logs folder and I also tried putting an init folder in my plugins directory. 7-slim-buster. 1. React. For Modules Management¶ Airflow allows you to use your own Python modules in the DAG and in the Airflow configuration. Option 1. 0b2 (beta snapshot) Operating System linux/amd64 Versions of Apache Airflow Providers No response Deployment Other Docker-based deployment Deployment details Dockerfile based deployments with DAGs copied into t Airflow on Cloud Composer Cannot import module. backends. secret import Secret from airflow. You're importing from the airflow package which has an __init__ file. Chess import <class-name> Or you can try: from sys import path path. The lesson is to never name your *. I've Change the path, and import module, and have fun. py files are required to make Python treat the directories as containing packages; this is done to prevent directories with a common name, such as string, from unintentionally hiding valid modules that occur later on the module search path. In 2. I tried inserting path with sys. Apache Airflow DAG cannot import local module. Would like to use crispy-forms, but eclipse and django doesnt recognize it. This is a circular dependency. py:64} CRITICAL - Cannot import authentication module airflow. Cannot import a module which is in A quick note regarding the dags directory:. hooks. Task 1 -1 Because appending to the Python path is a bad solution. from airflow import DAG from datetime import datetime from airflow. ps1 C:\TFS\ChildScript\Script2. utils. ; Install Airflow into Windows 10 WSL with Ubuntu - This worked great. Any way to make it work. /')) import myfolder print(sys. import b When the airflow webserver shows up errors like Broken DAG: [<path/to/dag>] <error>, how and where can we find the full stacktrace for these exceptions? you're looking for airflow dags list-import-errors. google. is_authenticated %} I want to use some python modules I wrote inside Airflow (version 1. Setting up a DAG package I want to extend certain operators through custom python modules, but I am unable to import these properly from within a DAG. airflowignore file in the root of the DAGs directory to Using PYTHONPATH with Airflow Commands. py but I need to schedule it on airflow for it to run. py:212} DEBUG - Setting up DB connection pool (PID 275) [2020-07-08 15:37:24,310] {settings. Directory structure: airflow/ ├── dag │ ├── __init__. [operator_module] instead" 3. Ask Question timedelta from airflow import DAG from airflow. Chosen answer doesn't work for newer versions of Airflow. ipynb couldn't. 10. async import It seems as if it can only import modules relatively from the root of the DAG folder path defined through the airflow config. python_operator import PythonOperator In Airflow >=2. 6+, meaning that it contains code that it's not compatible with Python 2 (that you have) And the code for the python function looks like this : def update_files(**kwargs): from google. Used it in template. py, do ('I am loaded successfully')") import importlib importlib. json file, add the top-level "type" field I have a directory structure that looks like this: C:\TFS\MasterScript\Script1. Plugins don't function like it would do if you placed your custom operator in {AIRFLOW_HOME}/dags or {AIRFLOW_HOME}/data. conf - models - __init__. In 1. In your particular case it looks like you're trying to import SomeObject from the myapp. contrib. The idea is that the container page is the same but the sidebar and some of the content is dynamically loaded. 4. I've looked in the airflow source and found imp. ini') and in comp. which is same as python internal lib name. py └── operators ├── __init__. So when you name the file the same as the module name, it loads your file, not the library. if i put my operators inside of the AIRFLOW__CORE__DAGS_FOLDER I can load them fine, but I This is happening because of how impoorts work in python. path import sys sys. ImportError: cannot import name 'pubsub_v1' from 'google. Instead of using a plugin you can create a module with your operator and use that module to import it in the DAG. py └── custom_module. 0+). path += [ PATH_MODULES_DIRECTORY ] from MODULE_1. Ask Question Asked 4 years, 8 months ago. py So before asking this I've looked through the docs and had a look at Difference between "airflow run" and "airflow test" in Airflow to see if I can figure out why I am having this __init__. ; You can add all directories in the AIRFLOW_HOME directory to the PYTHONPATH by adding the following to the Dockerfile or the local environment, depending I haven't been able to move common code outside of the dag directory that airflow uses. How can I load a Python module in Python 3. You just need to import like this. Sounds like to need to add the package to your path. operators import DummyOperator. Once I changed the shebang to #!/usr/bin/env python3, Python was able to find the absl module. load_source because the user may not want to modify any system paths, or may be working on a computer where she or he cannot do so. Reason. find_spec('my_module') ==> cannot find we have to tell python where to look for the module. py depend on each other: /package __init__. It solves the problem for importing from modules in the same folder: import os. " This suggests to me you are attempting to re-create your hosted Airflow instance for testing purposes. py runserver this ha Regarding your folder structure, it is correct, no change needed. load_source to load modules that exist outside of the dag directory? In the example below this would be importing either foo or bar from the common directory. py. auth. py:253} DEBUG - settings. common. I use my anaconda python installed the packages but my jupyter notebook is not using it and cannot import the modules. 4 is appreciated. append that doesn't seem to solve the problem. module import component As you only write. You'll see that only the path to the Parent module is there, because this is where the util. append(". js │ └── tsx I ran into this same symptom. From myapp. Is it possible to use imp. I could import both a module in a one level directory and in a 2 level directory – rmesteves. py import sys # it's important for path being inserted before importing `myproject` sys. we have to add our path to the sys. py (just after the import of sys), there is a sys. time()) args = { 'owner': Hi @potiuk, thank you for your response. helpers import chain from kubernetes. py in it is at the top level of the DAGs folder. My dag file looks like: from airflow import DAG import datetime as dt from airflow. insert(0, I am running apache-airflow locally on docker. 2: deprecated message in v2. cloud import firestore import datetime paths = kwargs['inputPaths'] . operators. When the DAG is run it moves it tmp file, if you do not have airflow on docker this is on the same machine. 2 is actually using debian 8. I verified that the module was loaded as expected via log messages in docker-compose . html. bash import BashOperator More details can be found in airflow-v2-2-stable-code: The following imports are deprecated in version 2. g a = importlib. Verify that you have the latest version of Node. py:42} DEBUG - Cannot import due to doesn't look like a module path [2019-02-20 12:38:51,645] {__init__. Here's what I tried that did not fix the problem: Adding pymongo to requirements. I was using someone else's script, whose shebang was #!/usr/bin/env python. 4, but the conclusion is that support in Python 3. This problem didn't occur with normal python files (. I have a quick writeup about this problem, as other answerers have mentioned the reason for this is python path/to/file. you cannot write something like import . from airflow. 3. Due to your limited log entries, your issue might be a bit different, but this is what I found when I encountered this issue: {__init__. When you place custom code in either of these two directories, you can declare any arbitrary Python code that can be shared between DAGs. but this doesn't resolve it. module1. Improve this answer. I've tried and get this error: E: Could not Your airflow container's python environment is not set up to be able to import packages from the root of your project directory. path). I went through a few iterations of this problem and documented them as I went along. It works, but it's strictly worse than imp. py file which contains all DAG's and have imported the following modules. Airflow adds that folder to the PYTHONPATH if you made it a subfolder you'd need to include the module path all the way to the file, like subfolder. I am not able to import selenium into one of my dag which involves scraping data from the web periodically. my_first_plugin import MyFirstOperator If that doesn't work try: from airflow. I cannot import from a module in the base dags folder, nor can I import from packages laid out exactly like the documentation in Module Management > Typical structure of packages. tasks. py and TestCase. Since the documentation expects a user to have plugins, I would expect the docker environment to be configured so you can put files in plugins The file doesn't exist because task 1 hasn't created it yet. I followed the documentation. python_operator import PythonOperator from airflow. I'm getting this error: "c doesn't look like a module path" in {% load staticfiles %} {% load compress %} {% block local-scripts %} {% if not user. But if you really need to use absolute paths, this can be achieved like this: import pendulum from airflow. insert() statement, which you can adapt. join(os. this is config file in airflow. In the nearest parent package. The bridge version still uses pre 2. models import Supplier does. amazon. It sounds like your tensorflowproblem env doesn't have an ipython kernel, but another (probably your root) env does. import sys sys. py └── dump_file. bash_operator import BashOperator from airflow. The bs4 module was not found by airflow. I solved the problem by following steps: Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Apache Airflow - A platform to programmatically author, schedule, and monitor workflows - apache/airflow As for airflow 2. insert(0, ". It tells Python interpreter to look for modules in the specified locations. md ├── packages │ ├── jsx │ │ └── jsx. I tried to use the parameter use_dill = True and the suggested answer on How to use PythonVirtualenvOperator in airflow? but it doesn't make anything better. are working in. I don't know what exactly happens: if you try to. The problem fundamentally lies in where the sys. 2 Replace the code as this you dont need to add the folder to the path all you need is the path to the folder. kubernetes. 0 syntax. Yes, unless you use the full path in the Import-Module statement. This is explained in The Module Search Path documentation: When a module named spam is imported, the interpreter first searches for a built-in My folder structure looks like: __init__. pool_size=5, max_overflow=10, pool_recycle=1800, pid=275 [2020-07-08 15:37:24,366] Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. And If you are not on Airflow 2+ better upgrade NOW. If you're like me, you created a jupyter notebook file (. Please correct your authentication backend or disable au Aug 21 04:56:45 ip-10-202-21-240 airflow[10065 You signed in with another tab or window. You mentioned that airflow. bash airflow. ps1 to look for Script1. All you have to do is: Install the airflow module. Provide details and share your research! But avoid . However, my default python version was 2. from my_project. py └── folder ├── __init__. sql. According to documentation Airflow has, by default, three directories to path. py - model1. If there are no dags in the backend directory then it might be best to move that outside of the dags/ directory or make sure it's added to a . This is essentially the same as You're missing __init__. """ from dags. insert(0, os. This is what worked: Unable to import a module that is definitely installed. You switched accounts on another tab or window. py to proj/proj/celery_tasks. py suppliers. Then, with that kernel defined, all you have to do is to update this kernel's environment variables to look at your project folder where your modules are located. cfg, I simply changed the authenticate to True like this: [webserver] authenticate = True auth_backend = airflow. If you go File-> Settings -> Project > Python Interpreter. fdqdry sepry zmgt pey dgbor grzbf pbdwme ngso omje nfsel