`timeseries` is a set of django application tools designed to facilitate the collation and maintenance of timeseries data.
timeseries is a set django application tools designed to facilitate the collation and maintenance of timeseries data.
Django versions 1.8+ are supported for projects running on PostgreSQL.
pip install django-timeseries
from datetime import timedelta from django.db import models from timeseries.utils import TimeSeriesModel, TimeSeriesManager class Ad(models.Model): objects = TimeSeriesManager() class RawAdData(TimeSeriesModel): TIMESERIES_INTERVAL = timedelta(days=1) # update daily N.B integers in seconds also work NOT_AVAILABLE = -1 ad = models.ForeignKey(Ad, related_name='rawdata') views = models.BigIntegerField(default=NOT_AVAILABLE) clicks = models.BigIntegerField(default=NOT_AVAILABLE) class MonthlyAdReport(TimeSeriesModel): TIMESERIES_INTERVAL = timedelta(days=28) ad = models.ForeignKey(Ad, related_name='monthlyreports') avg_view_growth = models.FloatField() avg_click_growth = models.FloatField() def ad_data_collector(queryset): """ should return an iterable that yields dictionaries of data needed to successfully create a RawAdData instance """ return ... def report_data_collector(queryset): """ should return an iterable that yields dictionaries of data needed to successfully create a MonthlyAdReport instance """ return ... # in a shell >>> Ad.objects.update_timeseries('rawdata', ad_data_collector) # this return the results of a bulk_create call from the RawAdData manager # for ads that hadn't been updated in the last day >>> Ad.objects.update_timeseries('monthlyreports', report_data_collector) # this return the results of a bulk_create call from the MonthlyAdReport # manager for ads that hadn't had a report generated in the last 28 days >>> ad = Ad.objects.prefetch_latest('rawdata', 'monthlyreports').first() >>> print ad.latest_rawaddata, ad.latest_monthlyreports
TimeSeries QuerySet Methods
Adds 4 main methods to the Django QuerySet API that can be used to update and maintain timeseries data. These methods include:
Inputs: related_name, collector, optional force
Returns: list of instatiated related models.
Updates the queryset’s related model table (as given by related_name) using a provider “collector” callable.
“collector” must take a queryset of the referenced models as its only argument. It must also return an iterable of dictionaries that can be used to construct and save instances of the related model.
N.B. Only instances that have outdated data will be updated unless explicitly forced using the “force” keyword argument.
Returns a queryset that will yield the model instances that have “outdated” data associated to reverse related model as given by the specified related_name.
Annotates the created timestamp of the latest related instance as given by the reverse relation’s related_name.
ad = Ad.objects.last_updated('rawdata').first() # assuming there's data related to ad print ad.rawdata_last_updated # this will print the timestamp of when the associated data was # last updated
Exposes the latest associated reverse relation.
ad = Ad.objects.prefetch_latest('rawdata', 'monthlyreports').first() print ad.latest_rawaddata, ad.latest_monthlyreports # this will print the reprs of the latest associated data # instances
Inputs: related_name, **kwargs
Returns: django.db.models.Q instance
Constructs a django.db.models.Q instance that allows queries to be executed against the latest associated reverse relation.
N.B. this method is designed to be used in conjunction with timeseries.utils.TimeSeriesQuerySet.last_updated.
Ad.objects.last_updated('rawdata').filter( LatestQ('rawdata', views__gt=1000) )
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size django-timeseries-1.0.2.tar.gz (5.9 kB)||File type Source||Python version None||Upload date||Hashes View|