Anaconda mode
Code navigation, documentation lookup and completion for Python.
Features
Anaconda mode provides the following features
- context-sensitive code completion
- jump to definitions
- find references
- view documentation
- virtual environment
- eldoc mode
- all this stuff inside vagrant and remote hosts
Supported Python Versions
2.6, 2.7, 3.3, 3.4
Installation
To use this package you need to install setuptools.
package.el
All you need to do is install the package from Melpa:
M-x package-install RET anaconda-mode RET
Manual
Clone this repository somewhere and add this directory to your
load-path.
Prelude
anaconda-mode is included in the Emacs Prelude distribution. You
can use it as well. Look at the prelude-python module to see more
details.
Spacemacs
anaconda-mode is included in the Spacemacs distribution. You can use
it as well. Look at the python language layer to see more details.
Configuration
You can automatically enable anaconda-mode in all python buffers
with following code in your configuration:
(add-hook 'python-mode-hook 'anaconda-mode)ElDoc
anaconda-eldoc-mode provide document function to eldoc-mode. All
you need is to enable anaconda-eldoc-mode in addition to the previous setup.
(add-hook 'python-mode-hook 'anaconda-eldoc-mode)Usage
To start a completion press C-M-i. This is the standard emacs binding
for complete-at-point function. You can use company-mode with
company-anaconda backend to get more intelligent ui. Or
auto-complete-mode with ac-anaconda as a last try.
Interactive commands
Here is a list of interactive commands available with anaconda-mode
| Keybinding | Description |
|---|---|
| C-M-i | anaconda-mode-complete |
| M-. | anaconda-mode-find-definitions |
| M-, | anaconda-mode-find-assignments |
| M-r | anaconda-mode-find-references |
| M-* | anaconda-mode-go-back |
| M-? | anaconda-mode-show-doc |
If multiple candidates are found for definitions, assignments or usages, you'll see an advanced anaconda navigator buffer.
PYTHONPATH
You can add your project to the Emacs PYTHONPATH. If you store project
dependencies somewhere on your machine, you can add them as well.
(add-to-list 'python-shell-extra-pythonpaths "/path/to/the/project")
(add-to-list 'python-shell-extra-pythonpaths "/path/to/the/dependency")Virtual environment
Use a virtual environment to isolate your project dependencies from others on the system. You can additionally install your project in an editable mode in the virtual environment. This will improve search functionality. Then activate this virtual environment inside Emacs.
M-x pythonic-activate RET /path/to/virtualenv RET
Also you can use pyenv-mode or similar package to hold virtual environment in actual state.
Each action above applies to anaconda-mode immediately. The next
anaconda-mode command you call will use this environment for
search completion candidates.
Tramp
It's possible to use anaconda-mode on a remote server when you connect to it using tramp. Anaconda-mode can search for completion candidates and all other stuff on remote server while you're running Emacs locally. First of all open interesting remote file.
C-x C-f /ssh:remote_host:project/__init__.py RET
After tramp successfully connects and you see actual buffer content, activate the remote virtual environment.
M-x pythoninc-activate RET /ssh:remote_host:/home/user/venv RET
Now any anaconda-mode command will use /home/user/venv/bin/python
interpreter running on remote_host over ssh. If you don't use the
virtual environment remotely then you have an option to specify the remote
interpreter directly.
(setq python-shell-interpreter "/ssh:remote_host:/usr/bin/python")It is important to remember that remote_host must be a real host
name or an IP address. SSH aliases not allowed to be used with
anaconda-mode. Also port 9000 on the remote host should be open to
incoming connections from your local machine. A final note about project scope:
all kinds of searching from inside the
virtual environment are available from any buffer. However searching inside your
project is available only if you open it on the same machine as the
interpreter.
Vagrant
You can get all the intelligent features of anaconda-mode with virtual environments deployed on your vagrant box. Fire up the vagrant machine as usual. The easiest way to handle authentication is to copy your public ssh key to the vagrant box.
ssh-copy-id vagrant@localhost -p 2222
Now open your project inside the vagrant box.
C-x C-f /ssh:vagrant@localhost#2222:/vagrant/polls/views.py
Check the *anaconda-mode* buffer for the port number, and forward that port
from vagrant.
ssh -nNT vagrant@localhost -p 2222 -L <port number>:localhost:<port number>
Then activate your project environment installed inside vagrant.
M-x pythonic-activate RET /ssh:vagrant@localhost#2222:/vagrant/polls/venv RET
Now you are ready to go. If you have random connection errors during interaction
with running server, try replacing the host name with the IP address, for example,
localhost with 127.0.0.1.
Implementation details
Anaconda mode comes with anaconda_mode.py server. This server
allows you to use the jedi python library over jsonrpc api. The server chooses
first available port starting from 9000. Anaconda mode will run this
server automatically on first call of any anaconda-mode command.
This means that completion results and reference searches depend on your project installation.
Bug Reports
Please attach *anaconda-mode* buffer content to every created
issue.
Issues
AttributeError and KeyError randomly happens
These kinds of problems were reported with jedi 0.9 version. (This error may occur in Spacemacs or any other usage). You can try to downgrade jedi version down to 0.8.
M-: (dired (anaconda-mode-server-directory)) RET M-! rm -rf jedi* RET M-! pip install "jedi<0.9" -t . RET
After you saw the jedi version changed to 0.8 in the dired window, you
have to refresh Emacs to make it work right away. You can either
restart Emacs or kill the *anaconda-mode* buffer.
Contributions
Are very welcome. But any significant change has to be accompanied with tests, both for Emacs Lisp and Python code. To run the test suite, call:
toxThanks
- Dmitry Gutov @dgutov
- Bo Lin @sadboy
- Vasilij Schneidermann @wasamasa
- Fredrik Bergroth @fbergroth
- Fabio Corneti @fabiocorneti
- Tom Davis @tdavis
- Sviridov Alexander @sviridov
- Mario Rodas @marsam


