mpri-webdam/histories/models.py

85 lines
2.4 KiB
Python
Raw Normal View History

2018-01-24 16:07:33 +01:00
""" Models for the history. This history should be able to generate history
entries, which looks like human-based browsing, according to a dedicated user
interests, keywords...
"""
2018-02-19 22:56:16 +01:00
from random import weibullvariate
from math import floor
2018-01-23 18:12:47 +01:00
from django.db import models
2018-02-19 22:56:16 +01:00
from profiles.models import Profile
from pinocchio.settings import HISTORY_MIN
2018-01-24 16:07:33 +01:00
class HistoryEntry(models.Model):
""" A history entry, aka a url, and a timestamp.
"""
2018-02-19 22:56:16 +01:00
search = models.URLField(help_text="The url to be searched")
2018-01-24 16:07:33 +01:00
timestamp = models.DateTimeField()
history = models.ForeignKey(
'History',
on_delete=models.CASCADE
)
def __str__(self):
2018-02-19 22:56:16 +01:00
""" Returns the string representation of a history entry.
"""
2018-01-24 16:07:33 +01:00
return "{} : {}".format(self.timestamp, self.search)
class History(models.Model):
""" A history for a user, containing some web connections (http, https).
Each history is timed, in a human-behaviour manner. """
2018-02-19 22:56:16 +01:00
start_ts = models.DateTimeField(
help_text='The starting timestamp of the history. Useful for cron-like '
'structure.'
)
2018-01-24 16:07:33 +01:00
played = models.BooleanField(default=False)
2018-02-19 22:56:16 +01:00
user = models.ForeignKey(
Profile,
2018-01-24 16:07:33 +01:00
on_delete=models.CASCADE
)
2018-01-23 18:12:47 +01:00
2018-02-19 22:56:16 +01:00
def return_history(self):
""" Returns the history, sorted by increasing timestamps
"""
history_set = self.history_set.order_by('timestamp')
return history_set
2018-01-24 16:07:33 +01:00
def __str__(self):
2018-02-19 22:56:16 +01:00
""" Returns the string representation of a history.
"""
2018-01-24 16:07:33 +01:00
history_set = self.history_set.order_by('timestamp')
2018-02-19 13:58:45 +01:00
header = "[History]:\n"
return header + "\n".join(history_set)
2018-02-19 22:56:16 +01:00
def play_history(self):
""" Actually plays the history.
"""
self.played = True
self.save()
def generate_history(user, ts_start):
""" Generate a new history for the user `user`, starting from timestamp
`ts_start`.
A few heuristics are used in order to give the impression that the history
is actually played by a user.
"""
# let's defin a new history object.
history = History(start_ts=ts_start, user=user)
length = HISTORY_MIN + floor(10 * weibullvariate(1, 1.5))
history_line = 0
while history_line < length:
ts_start += random.uniform(1, 10)
new_line = HistoryEntry(
search="https://google.com:",
timestamp=ts_start,
history=history
)