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, docker and remote hosts

Supported Python Versions

2.7, 3.4, 3.5, 3.6, 3.7

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 so when your point is between the parenthesis of a function call, its parameters are shown in the echo area. 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.

Interactive commands

Here is a list of interactive commands available with anaconda-mode

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. Just open an interesting remote file.

C-x C-f /ssh:remote_host:project/__init__.py RET

After tramp successfully connects and you see actual buffer content, completion and definitions search should work as usual. You can even use virtual environment from remote host.

M-x pythonic-activate RET /ssh:remote_host:/home/user/venv RET

Or specify another remote interpreter

(setq python-shell-interpreter "/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. 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 [email protected] -p 2222

Now open your project inside the vagrant box.

C-x C-f /ssh:[email protected]#2222:/vagrant/polls/views.py

Optionally you can activate your project environment, if installed inside vagrant.

M-x pythonic-activate RET /ssh:[email protected]#2222:/vagrant/polls/venv RET

Docker

You can use definition, reference and auto-completion search for dependencies installed in the Docker container. Let suppose your project layout is the same as in Compose and Django tutorial. To use anaconda-mode together with Docker you need to install two additional external dependencies. First of all, you need to install docker-tramp Emacs package. The second step is to install Unix socat utility. You should have your containers up and running

docker-compose up web

After that, you can set Python interpreter to one installed inside container

(setq python-shell-interpreter "/usr/local/bin/python")

Now you can open some file inside the project running inside a container

C-x C-f /docker:[email protected]_web_1:/code/manage.py

If you try to find the definition of the Django module imported in this buffer, anaconda-mode will jump to the package installed inside this Docker container.

FAQ

If you see constant response reading error, try to change localhost address from default 127.0.0.1 to localhost. This is likely to fix problems on Mac OS.

(setq anaconda-mode-localhost-address "localhost")

Bug Reports

Please attach *anaconda-mode*, *anaconda-response* and *anaconda-socat* buffer content to every created issue.

Thanks

• Dmitry Gutov @dgutov
• Bo Lin @sadboy
• Vasilij Schneidermann @wasamasa
• Fredrik Bergroth @fbergroth
• Fabio Corneti @fabiocorneti
• Tom Davis @tdavis
• Sviridov Alexander @sviridov
• Mario Rodas @marsam