def earliestTimestampForMetric(metric):
return min(
filter(
lambda point: point != None,
map(
lambda timeline: next((point for point in timeline if point[1] != 0), None),
map(lambda doc: getattr(doc, metric), DocumentTimelines.fromFile("data/document_timelines.json")),
),
),
key=lambda x: x[0],
)[0]
f = open("foo", "w")
for doc in docsTimelines:
d2 = doc.trimmed()
d2.publicationTimestamp = timestr2timestamp(d2.publicationTimestamp)
f.write(d2.toJson(trimmed=True) + "\n")
f.close()"""
maxTimestamp = SimpleDoc.maximumTimestampInDataset
print maxTimestamp
numObservedDays = 500
docsTimelines = DocumentTimelines.fromFile("data/document_timelines_trimmed.json", trimmed=True, sort=True)
attributes = [("scopusTimeline", (3, 9)), ("crossrefTimeline", (3, 9)), ("pubmedTimeline", (3, 9))]
"""[("citeULikeTimeline", (3,9)), ("pubmedTimeline", (3,9)),
("scopusTimeline", (3, 9)), ("pmcTimeline", (6, 11)), ("facebookTimeline", (12, 11)),
("mendeleyTimeline", (1, 12)), ("crossrefTimeline", (3, 9)), ("counterTimeline", (9, 9)),
("facebookTimeline", (12, 11)), ("mendeleyTimeline", (1, 12)), ("citeULikeTimeline", (3,9))]"""
for toleranceDays in [2]:
toleranceSeconds = toleranceDays * 60 * 60 * 24
ways = {}
ys = []
for attribute, startDate in attributes:
lowerBound = calendar.timegm(datetime.date(2000 + startDate[1], startDate[0], 1).timetuple())
upperBound = maxTimestamp - (300 * 60 * 60 * 24)
