On Ubuntu 16.04 with Python 2.7 default version, I am trying to install Apache airflow but ran into several issues and currently I see on
apache initdb
Traceback (most recent call last):
File "/usr/local/bin/airflow", line 21, in <module>
from airflow import configuration
File "/usr/local/lib/python2.7/dist-packages/airflow/__init__.py", line 40, in <module>
from flask_admin import BaseView
File "/usr/local/lib/python2.7/dist-packages/flask_admin/__init__.py", line 6, in <module>
from .base import expose, expose_plugview, Admin, BaseView, AdminIndexView # noqa: F401
File "/usr/local/lib/python2.7/dist-packages/flask_admin/base.py", line 6, in <module>
from flask import Blueprint, current_app, render_template, abort, g, url_for
File "/usr/local/lib/python2.7/dist-packages/flask/__init__.py", line 20, in <module>
from .app import Flask
File "/usr/local/lib/python2.7/dist-packages/flask/app.py", line 69, in <module>
from .wrappers import Request
File "/usr/local/lib/python2.7/dist-packages/flask/wrappers.py", line 14, in <module>
from werkzeug.wrappers.json import JSONMixin as _JSONMixin
ImportError: No module named json
Tried these things till now:
$ sudo apt-get install build-essential autoconf libtool pkg-config python-opengl python-imaging python-pyrex python-pyside.qtopengl idle-python2.7 qt4-dev-tools qt4-designer libqtgui4 libqtcore4 libqt4-xml libqt4-test libqt4-script libqt4-network libqt4-dbus python-qt4 python-qt4-gl libgle3 python-dev
sudo pip install -U Werkzeug==0.14.1
sudo pip install -U Jinja2==2.10.1
Also tried
pip install jsonate
pip install json # (this did not work)
python
Python 2.7.12 (default, Nov 12 2018, 14:36:49)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import json
>>> exit()
Nothing worked so far.
Just upgrade flask. You can use this command:
sudo pip install --upgrade Flask
The problem is known, and is described here, in the ASF Mail Archives
We removed the incompatible Werkzeug library from apache master this weekend. It caused Airflow installations to fail.
To resolve, manually install the werkzeug library in a correct version:
pip install werkzeug>=0.15.0
As explained in the mail list, this seems to be a temporary problem, and this solution is a workaround. The problem is encountered in version 1.10.3.
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