183 lines
5.4 KiB
Python
183 lines
5.4 KiB
Python
import nettime.query
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import nettime.format
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import nettime.plot
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class Report:
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query = None
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matrix = None
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def __init__(self, q=None):
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if not isinstance(q, nettime.query.Query):
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logging.error("HtmlFormat constructor Error: query must be of type nettime.query.Query")
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raise Exception()
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self.query = q
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'''
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(basic) stats
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'''
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def matrix_msgs_threads(self):
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if self.matrix is None:
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# nbr messages
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mat = self.query.activity_overall()
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# nbr threads
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mat['nbr-threads'] = self.query.threads_overall(aggregate='count')['nbr-threads']
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# nbr replies
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mat['nbr-replies'] = self.query.threads_overall(aggregate='sum')['nbr-references']
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# nbr non-replies (aka. non-threads)
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mat['nbr-single-messages'] = mat['nbr-messages'] - mat['nbr-replies'] - mat['nbr-threads']
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# avg. rep per message
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mat['avg--per-msg'] = mat['nbr-threads'] / mat['nbr-messages']
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# avg. rep per thread
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mat['avg-rep-per-thrd'] = mat['nbr-replies'] / mat['nbr-threads']
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# same as:
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# mat['avg-rep-per-thrd'] = q.threads_overall(aggregate='mean')['nbr-references']
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self.matrix = mat
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return self.matrix
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'''
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plots
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'''
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def plot_nbr_msgs(self, title='Nbr. Messages', label='messages', color='mediumblue'):
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self.matrix_msgs_threads()
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return nettime.plot.bar_plot_series(self.matrix['nbr-messages'].to_frame(label), title=title, color=color)
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def plot_nbr_threads(self, title='Nbr. Threads', label='threads', color='crimson'):
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self.matrix_msgs_threads()
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return nettime.plot.bar_plot_series(self.matrix['nbr-threads'].to_frame(label), title=title, color=color)
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def plot_nbr_replies(self, title='Nbr. Replies in Threads', label='replies', color='dimgray'):
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self.matrix_msgs_threads()
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return nettime.plot.bar_plot_series(self.matrix['nbr-replies'].to_frame(label), title=title, color=color)
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def plot_avg_rep_p_msg(self, title='Avg. Thread per Message', label='replies-per-messasges', color='limegreen'):
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self.matrix_msgs_threads()
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return nettime.plot.bar_plot_series(self.matrix['avg--per-msg'].to_frame(label), title=title, color=color)
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def plot_avg_rep_p_thrd(self, title='Avg. Replies per Thread', label='replies-per-thread', color='blueviolet'):
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self.matrix_msgs_threads()
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return nettime.plot.bar_plot_series(self.matrix['avg-rep-per-thrd'].to_frame(label), title=title, color=color)
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def plot_msgs_replies(self, title='Nbr. Messages segments (individual messages vs thread replies)'):
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self.matrix_msgs_threads()
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return nettime.plot.bar_plot_series(self.matrix[['nbr-single-messages', 'nbr-threads', 'nbr-replies']], color=['mediumblue', 'red', 'dimgray'], title=title)
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'''
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text (tabular)
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'''
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def tab_msgs_threads_replies(self):
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self.matrix_msgs_threads()
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return nettime.format.Tab.from_dataframe(self.matrix[['nbr-messages', 'nbr-threads', 'nbr-replies']],
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name_map={'nbr-messages': 'messages', 'nbr-threads': 'threads', 'nbr-replies': 'replies in threads'})
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def tab_avg_rep_msg_thrd(self):
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self.matrix_msgs_threads()
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return nettime.format.Tab.from_dataframe(self.matrix[['avg--per-msg', 'avg-rep-per-thrd']],
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name_map={'avg--per-msg': 'avg. thread per message', 'avg-rep-per-thrd': 'avg. replies per thread'})
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def tab_activity_from_ranking(self, rank=5):
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d = self.query.activity_from_ranking(rank=rank)
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return nettime.format.Tab.from_dataframe(d, name_map={'nbr-messages': 'messages'})
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def tab_content_length_from_ranking(self, rank=5):
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d = self.query.activity_from_ranking(rank=rank)
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return nettime.format.Tab.from_dataframe(d, name_map={'nbr-bytes': 'bytes'})
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def tab_threads_ranking(self, rank=5):
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d = self.query.threads_ranking(rank=rank)
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return nettime.format.Tab.from_dataframe(d, name_map={'nbr-references': 'nbr. replies'})
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def tab_threads_ranking_year(self, rank=5, resolution='y'):
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d = self.query.threads_ranking(rank=rank, resolution=resolution)
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years = sorted(d)
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nl = '\n'
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s = ""
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for i in years:
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s += 'year: ' + i + nl
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s += nettime.format.Tab.from_dataframe(d[i], name_map={'nbr-references': 'nbr. replies'}) + nl
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return s + nl
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'''
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html
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'''
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def html_msgs_threads_replies(self):
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self.matrix_msgs_threads()
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return nettime.format.Html.from_dataframe(self.matrix[['nbr-messages', 'nbr-threads', 'nbr-replies']],
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name_map={'nbr-messages': 'messages', 'nbr-threads': 'threads', 'nbr-replies': 'replies in threads'})
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def html_avg_rep_msg_thrd(self):
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self.matrix_msgs_threads()
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return nettime.format.Html.from_dataframe(self.matrix[['avg--per-msg', 'avg-rep-per-thrd']],
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name_map={'avg--per-msg': 'avg. thread per message', 'avg-rep-per-thrd': 'avg. replies per thread'})
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def html_activity_from_ranking(self, rank=5):
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html = nettime.format.Html(self.query)
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return html.threads_ranking(rank=rank)
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def html_content_length_from_ranking(self, rank=5):
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d = self.query.activity_from_ranking(rank=rank)
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return nettime.format.Html.from_dataframe(d, name_map={'nbr-bytes': 'bytes'})
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def html_threads_ranking(self, rank=5):
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d = self.query.threads_ranking(rank=rank)
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return nettime.format.Html.from_dataframe(d, name_map={'nbr-references': 'nbr. replies'}, url_map={'subject': 'url'})
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def html_threads_ranking_year(self, rank=5, resolution='y'):
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d = self.query.threads_ranking(rank=rank, resolution=resolution)
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years = sorted(d)
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nl = '\n'
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s = ""
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for i in years:
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s += '<div class="year_t">' + i + '</div>' + nl
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s += nettime.format.Html.from_dataframe(d[i], name_map={'nbr-references': 'nbr. replies'}, url_map={'subject': 'url'}) + nl
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return s + nl
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