356 lines
13 KiB
Python
356 lines
13 KiB
Python
import csv
|
|
import string
|
|
from datetime import datetime
|
|
|
|
from matplotlib import pyplot
|
|
import re
|
|
|
|
|
|
def counts(lst):
|
|
counts = {}
|
|
for v in lst:
|
|
if not v in counts:
|
|
counts[v] = 0
|
|
counts[v] += 1
|
|
return counts
|
|
|
|
|
|
class Hist:
|
|
|
|
def __init__(self, firstcolumn):
|
|
self.key = "\"" + firstcolumn + "\""
|
|
self.dictionary = {}
|
|
self.key = ""
|
|
|
|
def add(self, key, value):
|
|
if not key in self.dictionary:
|
|
self.dictionary[key] = []
|
|
self.dictionary[key].append(value)
|
|
|
|
def values(self):
|
|
allV = []
|
|
for v in self.dictionary.values():
|
|
allV += list(set(v))
|
|
return list(set(allV))
|
|
|
|
def keys(self):
|
|
return self.dictionary.keys()
|
|
|
|
def get(self, key):
|
|
if key in self.dictionary:
|
|
return self.dictionary[key]
|
|
return None
|
|
|
|
# Returns (keys, values.map(f)). To be used with e.g. pyplot.plot
|
|
def map(self, f):
|
|
vals = []
|
|
keys = self.keys()
|
|
for key in keys:
|
|
vals.append(f(self.get(key)))
|
|
return vals
|
|
|
|
def mapcumul(self, f, add, zero):
|
|
vals = []
|
|
running_value = zero
|
|
keys = self.keys()
|
|
for key in keys:
|
|
v = f(self.get(key))
|
|
running_value = add(running_value, v)
|
|
vals.append(running_value)
|
|
return vals
|
|
|
|
def csv(self):
|
|
csv = self.key + "," + ",".join(self.values())
|
|
header = self.values()
|
|
for k in self.dictionary.keys():
|
|
csv += k
|
|
values = counts(self.dictionary[k])
|
|
for head in header:
|
|
if head in values:
|
|
csv += "," + str(values[head])
|
|
else:
|
|
csv += ",0"
|
|
csv += "\n"
|
|
return csv
|
|
|
|
def __str__(self):
|
|
return str(self.dictionary)
|
|
|
|
|
|
def build_hist(stats, keyIndex, valueIndex):
|
|
hist = Hist("date")
|
|
c = 0
|
|
for row in stats:
|
|
c += 1
|
|
hist.add(row[keyIndex], row[valueIndex])
|
|
return hist
|
|
|
|
|
|
def as_date(str):
|
|
return datetime.strptime(str, "%Y-%m-%d")
|
|
|
|
|
|
def cumulative_users(stats):
|
|
users_hist = build_hist(stats, 0, 1)
|
|
all_users_per_day = users_hist.mapcumul(
|
|
lambda users: set(users),
|
|
lambda a, b: a.union(b),
|
|
set([])
|
|
)
|
|
cumul_uniq = list(map(len, all_users_per_day))
|
|
unique_per_day = users_hist.map(lambda users: len(set(users)))
|
|
new_users = [0]
|
|
for i in range(len(cumul_uniq) - 1):
|
|
new_users.append(cumul_uniq[i + 1] - cumul_uniq[i])
|
|
dates = map(as_date, users_hist.keys())
|
|
return list(dates), cumul_uniq, list(unique_per_day), list(new_users)
|
|
|
|
|
|
def pyplot_init():
|
|
pyplot.figure(figsize=(14, 8), dpi=200)
|
|
pyplot.xticks(rotation='vertical')
|
|
|
|
|
|
def create_usercount_graphs(stats, extra_text=""):
|
|
print("Creating usercount graphs " + extra_text)
|
|
dates, cumul_uniq, unique_per_day, new_users = cumulative_users(stats)
|
|
total = cumul_uniq[-1]
|
|
|
|
pyplot_init()
|
|
pyplot.fill_between(dates, unique_per_day, label='Unique contributors')
|
|
pyplot.fill_between(dates, new_users, label='First time contributor via MapComplete')
|
|
pyplot.legend()
|
|
pyplot.title("Unique contributors" + extra_text + ' with MapComplete (' + str(total) + ' contributors)')
|
|
pyplot.ylabel("Number of unique contributors")
|
|
pyplot.xlabel("Date")
|
|
pyplot.savefig("Contributors" + extra_text + ".png", dpi=400, facecolor='w', edgecolor='w')
|
|
|
|
pyplot_init()
|
|
pyplot.plot(dates, cumul_uniq, label='Cumulative unique contributors')
|
|
pyplot.legend()
|
|
pyplot.title("Cumulative unique contributors" + extra_text + " with MapComplete - " + str(total) + " contributors")
|
|
pyplot.ylabel("Number of unique contributors")
|
|
pyplot.xlabel("Date")
|
|
pyplot.savefig("CumulativeContributors" + extra_text + ".png", dpi=400, facecolor='w', edgecolor='w')
|
|
|
|
|
|
def create_theme_breakdown(stats, fileExtra="", cutoff=5):
|
|
print("Creating theme breakdown " + fileExtra)
|
|
themeCounts = {}
|
|
for row in stats:
|
|
theme = row[3].lower()
|
|
if theme in theme_remappings:
|
|
theme = theme_remappings[theme]
|
|
if theme in themeCounts:
|
|
themeCounts[theme] += 1
|
|
else:
|
|
themeCounts[theme] = 1
|
|
themes = list(themeCounts.items())
|
|
if len(themes) == 0:
|
|
print("No entries found for theme breakdown (extra: " + str(fileExtra) + ")")
|
|
return
|
|
themes.sort(key=lambda kv: kv[1], reverse=True)
|
|
other_count = sum([theme[1] for theme in themes if theme[1] < cutoff])
|
|
themes_filtered = [theme for theme in themes if theme[1] >= cutoff]
|
|
keys = list(map(lambda kv: kv[0] + " (" + str(kv[1]) + ")", themes_filtered))
|
|
values = list(map(lambda kv: kv[1], themes_filtered))
|
|
total = sum(map(lambda kv: kv[1], themes))
|
|
first_pct = themes[0][1] / total;
|
|
if other_count > 0:
|
|
keys.append("other")
|
|
values.append(other_count)
|
|
pyplot_init()
|
|
pyplot.pie(values, labels=keys, startangle=(90 - 360 * first_pct / 2))
|
|
pyplot.title("MapComplete changes per theme" + fileExtra + " - " + str(total) + " total changes")
|
|
pyplot.savefig("Theme distribution" + fileExtra + ".png", dpi=400, facecolor='w', edgecolor='w',
|
|
bbox_inches='tight')
|
|
return themes
|
|
|
|
|
|
def cumulative_changes_per(contents, index, subject, filenameextra="", cutoff=5, cumulative=True, sort=True):
|
|
print("Creating graph about " + subject + filenameextra)
|
|
themes = Hist("date")
|
|
dates_per_theme = Hist("theme")
|
|
all_themes = set()
|
|
for row in contents:
|
|
th = row[index]
|
|
all_themes.add(th)
|
|
themes.add(as_date(row[0]), th)
|
|
dates_per_theme.add(th, row[0])
|
|
per_theme_count = list(zip(dates_per_theme.keys(), dates_per_theme.map(len)))
|
|
# PerThemeCount gives the most popular theme first
|
|
if sort == True:
|
|
per_theme_count.sort(key=lambda kv: kv[1], reverse=False)
|
|
elif sort is not None:
|
|
per_theme_count.sort(key=sort)
|
|
values_to_show = [] # (theme name, value to fill between - this is stacked, with the first layer to print last)
|
|
running_totals = None
|
|
other_total = 0
|
|
other_theme_count = 0
|
|
other_cumul = None
|
|
|
|
for kv in per_theme_count:
|
|
theme = kv[0]
|
|
total_for_this_theme = kv[1]
|
|
if cumulative:
|
|
edits_per_day_cumul = themes.mapcumul(
|
|
lambda themes_for_date: len([x for x in themes_for_date if theme == x]),
|
|
lambda a, b: a + b, 0)
|
|
else:
|
|
edits_per_day_cumul = themes.map(lambda themes_for_date: len([x for x in themes_for_date if theme == x]))
|
|
|
|
if (not cumulative) or (running_totals is None):
|
|
running_totals = edits_per_day_cumul
|
|
else:
|
|
running_totals = list(map(lambda ab: ab[0] + ab[1], zip(running_totals, edits_per_day_cumul)))
|
|
|
|
if total_for_this_theme >= cutoff:
|
|
values_to_show.append((theme, running_totals))
|
|
else:
|
|
other_total += total_for_this_theme
|
|
other_theme_count += 1
|
|
if other_cumul is None:
|
|
other_cumul = edits_per_day_cumul
|
|
else:
|
|
other_cumul = list(map(lambda ab: ab[0] + ab[1], zip(other_cumul, edits_per_day_cumul)))
|
|
|
|
keys = list(themes.keys())
|
|
values_to_show.reverse()
|
|
values_to_show.append(("other", other_cumul))
|
|
totals = dict(per_theme_count)
|
|
total = sum(totals.values())
|
|
totals["other"] = other_total
|
|
|
|
pyplot_init()
|
|
for kv in values_to_show:
|
|
if kv[1] is None:
|
|
continue # No 'other' graph
|
|
msg = kv[0] + " (" + str(totals[kv[0]]) + ")"
|
|
if kv[0] == "other":
|
|
msg = str(other_theme_count) + " small " + subject + "s (" + str(other_total) + " changes)"
|
|
if cumulative:
|
|
pyplot.fill_between(keys, kv[1], label=msg)
|
|
else:
|
|
pyplot.plot(keys, kv[1], label=msg)
|
|
|
|
if cumulative:
|
|
cumulative_txt = "Cumulative changesets"
|
|
else:
|
|
cumulative_txt = "Changesets"
|
|
pyplot.title(cumulative_txt + " per " + subject + filenameextra + " (" + str(total) + " changesets)")
|
|
pyplot.legend(loc="upper left", ncol=3)
|
|
pyplot.savefig(cumulative_txt + " per " + subject + filenameextra + ".png")
|
|
|
|
|
|
def contents_where(contents, index, starts_with, invert=False):
|
|
for row in contents:
|
|
if row[index].startswith(starts_with) is not invert:
|
|
yield row
|
|
|
|
|
|
def sortable_user_number(kv):
|
|
str = kv[0]
|
|
ls = list(map(lambda str : "0"+str if len(str) < 2 else str, re.findall("[0-9]+", str)))
|
|
return ".".join(ls)
|
|
|
|
|
|
def create_graphs(contents):
|
|
cumulative_changes_per(contents, 4, "version number", cutoff=1, sort=sortable_user_number)
|
|
create_usercount_graphs(contents)
|
|
create_theme_breakdown(contents)
|
|
cumulative_changes_per(contents, 3, "theme", cutoff=10)
|
|
cumulative_changes_per(contents, 3, "theme", cutoff=10, cumulative=False)
|
|
cumulative_changes_per(contents, 1, "contributor", cutoff=15)
|
|
cumulative_changes_per(contents, 2, "language", cutoff=1)
|
|
cumulative_changes_per(contents, 8, "host", cutoff=1)
|
|
|
|
currentYear = datetime.now().year
|
|
for year in range(2020, currentYear + 1):
|
|
contents_filtered = list(contents_where(contents, 0, str(year)))
|
|
extratext = " in " + str(year)
|
|
create_usercount_graphs(contents_filtered, extratext)
|
|
create_theme_breakdown(contents_filtered, extratext)
|
|
cumulative_changes_per(contents_filtered, 3, "theme", extratext, cutoff=5)
|
|
cumulative_changes_per(contents_filtered, 3, "theme", extratext, cutoff=5, cumulative=False)
|
|
cumulative_changes_per(contents_filtered, 1, "contributor", extratext, cutoff=10)
|
|
cumulative_changes_per(contents_filtered, 2, "language", extratext, cutoff=1)
|
|
cumulative_changes_per(contents_filtered, 4, "version number", extratext, cutoff=1, cumulative=False,
|
|
sort=sortable_user_number)
|
|
cumulative_changes_per(contents_filtered, 4, "version number", extratext, cutoff=1, sort=sortable_user_number)
|
|
cumulative_changes_per(contents_filtered, 8, "host", extratext, cutoff=1)
|
|
|
|
|
|
def create_per_theme_graphs(contents, cutoff=10):
|
|
all_themes = set(map(lambda row: row[3], contents))
|
|
for theme in all_themes:
|
|
filtered = list(contents_where(contents, 3, theme))
|
|
if len(filtered) < cutoff:
|
|
# less then 10 changesets - we do not map it
|
|
continue
|
|
contributors = set(map(lambda row: row[1], filtered))
|
|
if len(contributors) < 2:
|
|
continue # one contributor makes a boring graph
|
|
cumulative_changes_per(filtered, 1, "contributor", " for theme " + theme, cutoff=1)
|
|
|
|
|
|
def create_per_contributor_graphs(contents, least_needed_changesets):
|
|
all_contributors = set(map(lambda row: row[1], contents))
|
|
for contrib in all_contributors:
|
|
filtered = list(contents_where(contents, 1, contrib))
|
|
if len(filtered) < least_needed_changesets:
|
|
print("Skipping "+contrib+" - too little changesets");
|
|
continue
|
|
themes = set(map(lambda row: row[3], filtered))
|
|
if len(themes) < 2:
|
|
print("Skipping "+contrib+" - only one theme edited");
|
|
continue # one theme makes a boring graph
|
|
cumulative_changes_per(filtered, 3, "theme", " for contributor " + contrib, cutoff=1)
|
|
|
|
|
|
theme_remappings = {
|
|
"metamap": "maps",
|
|
"groen": "buurtnatuur",
|
|
"wiki:mapcomplete/fritures": "fritures",
|
|
"wiki:MapComplete/Fritures": "fritures",
|
|
"lits": "lit",
|
|
"pomp": "cyclofix",
|
|
"wiki:user:joost_schouppe/campersite": "campersite",
|
|
"wiki-user-joost_schouppe-geveltuintjes": "geveltuintjes",
|
|
"wiki-user-joost_schouppe-campersite": "campersite",
|
|
"wiki-User-joost_schouppe-campersite": "campersite",
|
|
"wiki-User-joost_schouppe-geveltuintjes": "geveltuintjes",
|
|
"wiki:User:joost_schouppe/campersite": "campersite",
|
|
"https://raw.githubusercontent.com/osmbe/play/master/mapcomplete/geveltuinen/geveltuinen.json": "geveltuintjes"
|
|
}
|
|
|
|
|
|
def clean_input(contents):
|
|
for row in contents:
|
|
theme = row[3].strip().strip("\"").lower()
|
|
if theme == "null":
|
|
# The theme metadata has only been set later on - we fetch this from the comment
|
|
i = row[7].rfind("#")
|
|
theme = row[7][i + 1:-1].lower()
|
|
if theme in theme_remappings:
|
|
theme = theme_remappings[theme]
|
|
row[3] = theme
|
|
row[4] = row[4].strip().strip("\"")[len("MapComplete "):]
|
|
row[4] = re.findall("[0-9]*\.[0-9]*\.[0-9]*", row[4])[0]
|
|
yield [data.strip().strip("\"") for data in row]
|
|
|
|
|
|
def main():
|
|
print("Creating graphs...")
|
|
with open('stats.csv', newline='') as csvfile:
|
|
stats = list(clean_input(csv.reader(csvfile, delimiter=',', quotechar='"')))
|
|
print("Found " + str(len(stats)) + " changesets")
|
|
create_graphs(stats)
|
|
create_per_theme_graphs(stats, 15)
|
|
# create_per_contributor_graphs(stats, 25)
|
|
print("All done!")
|
|
|
|
|
|
# pyplot.fill_between(range(0,5), [1,2,3,3,2],)
|
|
# pyplot.show()
|
|
main()
|