def juxta_basicstats(u):
ns = u.note_owner
nvals = u.note_owner.values()
stats = (
("N", ns.count()), ## number of notes
("keep/del", "%s/%s" % (ns.filter(deleted=0).count(), ns.filter(deleted=1).count())),
("s:", exporter.makedate_usec(min([float(x["created"]) for x in nvals]))),
("l:", exporter.makedate_usec(max([float(x["edited"]) for x in nvals] + [float(x["created"]) for x in nvals]))),
("|words|", mean([ca.note_words(nvs)[1] for nvs in nvals])),
("|chars|", mean([len(nvs["contents"].strip()) for nvs in nvals])),
("|urls%|", sum([1 for nvs in nvals if ca.note_urls(nvs)[1] > 0]) / (1.0 * ns.count()) * 100),
("|#vers|", mean([float(nvs["version"]) for nvs in nvals])),
)
return '<span class="userstats">%s</span>' % "; ".join(
['%s: <span class="val">%s</span>' % (k, v) for k, v in stats]
)
def plot_note_words_hist_modfilename(notes,
filename="num_words",
width=1024,
height=800,
soft_max=300):
user = notes[0].owner
nwords = [
ca.note_words(n2vals(x))['note_words']
for x in notes.values("contents")
]
nchars_ = [len(x["contents"].strip()) for x in notes.values("contents")]
nchars = [x for x in nchars_ if x < soft_max]
r.png(file='/dev/null', width=width, height=height)
breaks = [x for x in xrange(soft_max)]
nchars = r.hist(c(nchars), breaks=c(breaks))[1]
r('dev.off()')
r.png(file=make_filename(filename), width=width, height=height)
nwords_ = [x for x in nwords]
nwords = [x for x in nwords if x < soft_max]
hh = r.hist(c(nwords),
breaks=c(breaks),
labels=c(breaks),
freq=True,
xlab='',
ylab='',
main='length of notes (in words) %s (%d)' %
(user.email, len(notes)))
# print len(breaks)," ", len(nchars)
print nchars
r.lines(c(breaks[:-1]), nchars, col='green')
r.text(
r.c(3.0 / 4.0 * soft_max),
r.c(3.0 / 4.8 * max(hh[1]) + 0.1 * max(hh[1])),
"notes min-median-mode-max: %f %f %f %f" %
(min(nwords_), median(nwords_), ca.mode(nwords_), max(nwords_)))
r.text(
r.c(3.0 / 4.0 * soft_max), r.c(3.0 / 4.8 * max(hh[1])),
"char min-median-mode-max: %f %f %f %f" %
(min(nchars_), median(nchars_), ca.mode(nchars_), max(nchars_)))
r('dev.off()')
return hh
def juxta_basicstats(u):
ns = u.note_owner
nvals = u.note_owner.values()
stats = (
("N", ns.count()), ## number of notes
("keep/del", "%s/%s" %
(ns.filter(deleted=0).count(), ns.filter(deleted=1).count())),
("s:", exporter.makedate_usec(min([float(x['created'])
for x in nvals]))),
("l:",
exporter.makedate_usec(
max([float(x['edited'])
for x in nvals] + [float(x['created']) for x in nvals]))),
("|words|", mean([ca.note_words(nvs)[1] for nvs in nvals])),
("|chars|", mean([len(nvs['contents'].strip()) for nvs in nvals])),
("|urls%|", sum([1 for nvs in nvals if ca.note_urls(nvs)[1] > 0]) /
(1.0 * ns.count()) * 100),
("|#vers|", mean([float(nvs['version']) for nvs in nvals])))
return '<span class="userstats">%s</span>' % "; ".join(
['%s: <span class="val">%s</span>' % (k, v) for k, v in stats])
def plot_note_words_hist_modfilename(notes, filename="num_words", width=1024, height=800, soft_max=300):
user = notes[0].owner
nwords = [ca.note_words(n2vals(x))["note_words"] for x in notes.values("contents")]
nchars_ = [len(x["contents"].strip()) for x in notes.values("contents")]
nchars = [x for x in nchars_ if x < soft_max]
r.png(file="/dev/null", width=width, height=height)
breaks = [x for x in xrange(soft_max)]
nchars = r.hist(c(nchars), breaks=c(breaks))[1]
r("dev.off()")
r.png(file=make_filename(filename), width=width, height=height)
nwords_ = [x for x in nwords]
nwords = [x for x in nwords if x < soft_max]
hh = r.hist(
c(nwords),
breaks=c(breaks),
labels=c(breaks),
freq=True,
xlab="",
ylab="",
main="length of notes (in words) %s (%d)" % (user.email, len(notes)),
)
# print len(breaks)," ", len(nchars)
print nchars
r.lines(c(breaks[:-1]), nchars, col="green")
r.text(
r.c(3.0 / 4.0 * soft_max),
r.c(3.0 / 4.8 * max(hh[1]) + 0.1 * max(hh[1])),
"notes min-median-mode-max: %f %f %f %f" % (min(nwords_), median(nwords_), ca.mode(nwords_), max(nwords_)),
)
r.text(
r.c(3.0 / 4.0 * soft_max),
r.c(3.0 / 4.8 * max(hh[1])),
"char min-median-mode-max: %f %f %f %f" % (min(nchars_), median(nchars_), ca.mode(nchars_), max(nchars_)),
)
r("dev.off()")
return hh
(jid, (when - float(n.created)))
for jid, when in max_deletes.iteritems()
])
return njidtodel[n.owner.email].get(n.jid, None)
juxtapose_n_props = lambda i, n_created, n_text, n: "".join([
("<td>%s</td>" % repr(x)) for x in [
i,
int(n.jid),
exporter.makedate_usec(float(n_created)),
(time_till_deletion(n) / (24 * 60 * 60 * 1000)
if time_till_deletion(n) is not None else "-?-")
if n.deleted else "NOT DELETED",
len(n_text) if n_text is not None else 0,
ca.note_words(text2vals(n_text))[1] if n_text is not None else 0,
ca.note_lines(text2vals(n_text))[1] if n_text is not None else 0,
ca.note_changed_edits(n2vals(n))[1],
htmlesc(n_text)
]
])
njidtosave = {}
def juxtapose_note(i, n):
## cache all the note-saves, build chronological revision array { user.id : { noteid: (when, contents), (when, contents) , ... } }
global njidtosave
if n.owner.email not in njidtosave:
person = {}
for when, noteid, contents, action in ActivityLog.objects.filter(
njidtodel[n.owner.email] = dict([(jid, (when - float(n.created))) for jid, when in max_deletes.iteritems()])
return njidtodel[n.owner.email].get(n.jid, None)
juxtapose_n_props = lambda i, n_created, n_text, n: "".join(
[
("<td>%s</td>" % repr(x))
for x in [
i,
int(n.jid),
exporter.makedate_usec(float(n_created)),
(time_till_deletion(n) / (24 * 60 * 60 * 1000) if time_till_deletion(n) is not None else "-?-")
if n.deleted
else "NOT DELETED",
len(n_text) if n_text is not None else 0,
ca.note_words(text2vals(n_text))[1] if n_text is not None else 0,
ca.note_lines(text2vals(n_text))[1] if n_text is not None else 0,
ca.note_changed_edits(n2vals(n))[1],
htmlesc(n_text),
]
]
)
njidtosave = {}
def juxtapose_note(i, n):
## cache all the note-saves, build chronological revision array { user.id : { noteid: (when, contents), (when, contents) , ... } }
global njidtosave
if n.owner.email not in njidtosave:
person = {}