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[tor-commits] [metrics-tasks/master] Add support for daily censorship reports.
commit 94f955ec4266ac21c782a495bb1bd60f0c48be7e
Author: George Kadianakis <desnacked@xxxxxxxxxx>
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()
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