models_stats

ModelsStats

Graphics for your rails models. It may show count(or average, or sum, or another sql agregate function) of models for each day with grouping, conditions.

For graphics it uses for your choice MetricsGraphics.js or/and NVD3.

Dependencies: Redis for store statistics. D3, jQuery, Bootstrap it's dependencies of MetricsGraphics.js.

Preview:

NVD3:

MetricsGraphics.js

Installation

Add this line to your application's Gemfile:

gem 'models_stats', github: 'accessd/models_stats'

And then execute:

$ bundle

In your application.js manifest:

//= require models_stats/nvd3

or/and

//= require models_stats/metrics_graphics

if you want use MetricsGraphics.

In your application.css.scss manifest:

//= require models_stats/nvd3

or/and

//= require models_stats/metrics_graphics

if you want use MetricsGraphics.

Also if you use MetricsGraphics.js you must have jQuery and Bootstrap js/css included.

Usage

Configuration

Add config file config/models_stats.yml, for example:

minimal configuration:

  ---
  - total_users:
      description: "Total users"
      model: User

it would be calculate total users for day.

Enhanced configuration:

  ---
  - total_links_by_error_types: # Statistics alias, must be uniq
      description: "Total links by error types"
      model: Link
      datetime_attr: :created_at # Date or datetime attribute, allows to calculate the count of models per day
      group_by: :error_type_id
      conditions: "error_type_id != <%= Link::NO_ERROR %>"
      group_by_values_map: <%= ModelsStats.convert_hash_to_yaml(Link::ERROR_NAMES) %> # for example maping integer field to text representation
      graph_width: 430
      graph_height: 140
      graphic_lib: nvd3 # By default, or can be metrics_graphics
      graphic_type: stacked # It's can be using with nvd3, by default line
      date_tick: day # By default, or can be month or week
      date_format: '%d/%m' # By default is %x, more information about formattting time available at https://github.com/mbostock/d3/wiki/Time-Formatting
  - average_by_keyword_positions:
      description: "Average by keyword positions"
      select_statement: "AVG(google_position) AS count" # Right here you may specify select query, `count` alias for function required
      model: KeywordPosition

If you want using specific redis for store statistics, set it in config/initializers/models_stats.rb, for example:

ModelsStats.redis_connection = Redis.new(host: '127.0.0.1', port: 6379, db: 5)

Default graphics library can be configured through:

ModelsStats.default_lib_for_graphics = :nvd3 # Or metrics_graphics

Default graphics type:

ModelsStats.default_graphics_type = :line # Or stacked

Default graph width:

ModelsStats.default_graphics_width = 500

Default graph height:

ModelsStats.default_graphics_height = 120

Default date tick:

ModelsStats.default_date_tick = :day # Or month, week

Default date format:

ModelsStats.default_date_format = '%d/%m'

For the full list of directives for formatting time, refer to this list

Collecting statistics

Add to your crontab(may use whenever) rake task models_stats:collect_stat_for_yesterday, run it at 00:00 or later and it will collect statistics for yesterday. For collecting statistics for last month run rake task models_stats:collect_stat_for_last_month. Also you may collect statistics for specific date and config, for example:

  date = 2.days.ago.to_date
  statistics_alias = 'total_links_by_error_types' # statistic alias which you define in `config/models_stats.yml`
  ModelsStats::StatisticsCollector.new.collect(statistics_alias, date) # By default date is yestarday

Display graphics

In your views use helpers:

Render single graphic for total_links_by_error_types statistic alias(which you define in config/models_stats.yml) and last week

= render_models_stats_graph('total_links_by_error_types', 1.week) # By default period is 1.month

Render all defined graphics splited by two columns - first for new models count, second for total models count

= render_models_stats_dashboard

Contributing

1. Fork it ( https://github.com/accessd/models_stats/fork )
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new Pull Request