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Collection of recipes for finding information in ActiveData

Project description

[![Build Status](](

# active-data-recipes

A repository of various ActiveData recipes. A recipe is a small snippet that runs one or more active data queries and returns the output. Queries can sometimes be modified by command line arguments and output can sometimes be post-processed.

Each recipe should try to answer a single question.

# Installation

pip install active-data-recipes


git clone cd active-data-recipes python develop

# Usage


adr <recipe> <options>

For a list of recipes:

adr –list

For recipe specific options see:

adr <recipe> – –help

# Recipes

## Backout Rate

adr backout_rate [–from <date> [–to <date>]]

Get information on the backout rate on autoland and mozilla-inbound over the given time period.

[View Results](

## Code Coverage

adr code_coverage –path <path> –rev <rev>

Get code coverage information for the given path at rev. Both arguments are required.

## Files with Coverage

adr files_with_coverage

See how many files in tree have any code coverage at all.

[View Results](

## Hours on Try

adr hours_on_try

Returns the total number of compute hours spent on try over the past week. The date range can be modified with –from and –to using the format described [here][0]. For example:

adr hours_on_try –from today-2month –to today-month

## Inspect

adr inspect

Get information on the ActiveData schema. The above command returns the available tables. To see the columns in a table, run:

adr inspect –table task

## Task Durations

adr task_durations

Get information on the longest running tasks. Returns the total count, average runtime and total runtime over a given date range and set of branches.

[View Results](

## Try Usage

adr try_usage

Prints stats on what percentage of try pushes are being scheduled with various different mechanisms over the last week. The date range can be modified the same as the hours_on_try recipe.

[View Results](

## Try Users

adr try_users

Prints stats on how often individual users are pushing to try over the last week. The date range can be modified the same as the hours_on_try recipe.


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