commit 94f955ec4266ac21c782a495bb1bd60f0c48be7e Author: George Kadianakis desnacked@riseup.net Date: Tue Jun 5 19:37:28 2012 +0300
Add support for daily censorship reports. --- task-2718/detector.py | 54 ++++++++++++++++++++++++++++++++++++++++++++++-- 1 files changed, 51 insertions(+), 3 deletions(-)
diff --git a/task-2718/detector.py b/task-2718/detector.py index 1d6b4c2..5a55b39 100644 --- a/task-2718/detector.py +++ b/task-2718/detector.py @@ -267,15 +267,22 @@ def absolute_plot(series, minc, maxc, labels,INTERVAL, xtitle): If 'scoring_interval' is specifed we only consider upscore/downscore that happened in the latest 'scoring_interval' days. """ -def censor_score(series, minc, maxc, INTERVAL): +def censor_score(series, minc, maxc, INTERVAL, scoring_interval=None): upscore = 0 downscore = 0 + + if scoring_interval is None: + scoring_interval = len(series) + assert(len(series) >= scoring_interval) + for i, v in enumerate(series): if i > 0 and i - INTERVAL >= 0 and series[i] != None and series[i-INTERVAL] != None and series[i-INTERVAL] != 0 and minc[i]!= None and maxc[i]!= None: in_minc = minc[i] * poisson.ppf(1-0.9999, series[i-INTERVAL]) in_maxc = maxc[i] * poisson.ppf(0.9999, series[i-INTERVAL]) - downscore += 1 if minc[i] != None and v < in_minc else 0 - upscore += 1 if maxc[i] != None and v > in_maxc else 0 + if (i >= (len(series) - scoring_interval)): + downscore += 1 if minc[i] != None and v < in_minc else 0 + upscore += 1 if maxc[i] != None and v > in_maxc else 0 + return downscore, upscore
def plot_target(tss, TARGET, xtitle, minx, maxx, DAYS=365, INTERV = 7): @@ -338,6 +345,44 @@ def write_all(tss, minc, maxc, INTERVAL=7): ranges_file.write("%s,%s,%s,%s\n" % (tss.all_dates[i], c, minv, maxv)) ranges_file.close()
+"""Write a file containing a short censorship report over the last +'notification_period' days. +""" +def write_ml_report(tss, minx, maxx, INTERV, DAYS, notification_period=None): + if notification_period is None: + notification_period = DAYS + + report_file = open('short_censorship_report.txt', 'w') + file_prologue_written = False + + s = tss.get_largest(None) # no restrictions, get 'em all. + scores = [] + for num, li in s: + ds,us = censor_score(tss.get_country_series(li)[-DAYS:], minx[-DAYS:], maxx[-DAYS:], INTERV, notification_period) + scores += [(ds,num, us, li)] + scores.sort() + scores.reverse() + + for downscores,users_n,upscores,country_name in scores: + if (downscores > 0) or (upscores > 0): + if not file_prologue_written: + prologue = "=======================\n" + prologue += "Automatic Censorship Report for %s to %s\n" % (tss.all_dates[-notification_period], tss.all_dates[-1]) + prologue += "=======================\n\n" + report_file.write(prologue) + file_prologue_written = True + + if ((upscores > 0) and (downscores == 0)): + s = "We detected an unusual spike of Tor users in %s (%d upscores, %d users).\n" % \ + (country_name, upscores, users_n) + else: + s = "We detected %d potential censorship events in %s (users: %d, upscores: %d).\n" % \ + (downscores, country_name, users_n, upscores) + + report_file.write(s + "\n") + + report_file.close() + def main(): # Change these to customize script CSV_FILE = "direct-users.csv" @@ -353,5 +398,8 @@ def main(): #plot_all(tss, minx, maxx, INTERV, DAYS, rdir=GRAPH_DIR) write_all(tss, minx, maxx, INTERV)
+ # Make our short report; only consider events of the last day + write_ml_report(tss, minx, maxx, INTERV, DAYS, 1) + if __name__ == "__main__": main()