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Getting started

This is a collection of external reducers written for caesar and offline use.


You can find the latest documentation on the aggregations code’s website.

Installing for offline use

With your own python install (python 3.8 or higher only)

Instal the latest stable release:

pip install panoptes_aggregation

Upgrade and existing installation:

pip install -U panoptes_aggregation

Or for development or testing, you can install the latest development version directly from GitHub:

pip install -U git+

Install the Graphical User Interface (GUI)

If you would like to use the GUI instead of the command line install the package with:

pip install "panoptes_aggregation[gui]"

Or for the latest development build from GitHub:

pip install -U git+[gui]

On linux systems you may need to install GTK3:

sudo apt-get install build-essential libgtk-3-dev

Mac Anaconda build

If you are installing this code on a Mac using the anaconda build of python and you want to use the GUI instead of the command line you will have to update one line of the of code in the panoptes_aggregation_gui script. Change the first line from:



#!/bin/bash /path/to/anaconda/python/bin/

You can find the location of this file with the command:

which panoptes_aggregation_gui

You will also need to run:

conda install

With Docker

Using docker-compose

docker compose -f docker-compose.local_scripts.yml build local_scripts

From the root directory of this repository, run the desired python scripts using the docker image, e.g. config_workflow_panoptes --help

docker compose -f docker-compose.local_scripts.yml run --rm local_scripts panoptes_aggregation --help

Or directly via docker

docker build . -f Dockerfile.bin_cmds -t aggregation_for_caesar

From the root directory of this repository, run the desired python scripts using the docker image, e.g. panoptes_aggregation --help

docker run -it --rm --name config_workflow_panoptes -v "$PWD":/usr/src/aggregation aggregation_for_caesar panoptes_aggregation --help

Note The GUI does not work inside a docker container.

Installing for online use

The docker file included is ready to be deployed on any server. Once deployed, the extractors will be available on the /extractors/<name of extractor function> routes and the reducers will be available on the /reducers/<name of reducer function> routes. Any keywords passed into these functions should be included as url parameters on the route (e.g. For more complex keywords (e.g. details for subtasks), python’s urllib.parse.urlencode can be used to translate a keyword list into the proper url encoding.

The documentation will be built and available on the /docs route.

Build/run the app in docker locally

To run a local version use:

docker compose build
docker compose up

and listen on localhost:5000.

Running tests in the docker container

To run the tests use:

docker compose run --rm aggregation coverage run -m pytest && coverage report