Abaixo um exemplo de código em Python usando o extensão pysvn que faz uso desse mecanismo e monta um relatório da quantidade de recursos manipulados agrupados por Desenvolvedor/Autor e por Data.
import sys, pysvn, re
from datetime import date
import datetime
def repos(work_path):
"Get the svn repository url"
info = pysvn.Client().info(work_path)
if info.repos:
return info.repos
# special case - checked out the trunk
if info.url.endswith("/trunk"):
return re.sub(r"/trunk$", "", info.url)
# default to the current dir's url
return info.url
def arg(index):
# find argument, if doesnt exists return None
args = sys.argv[1:]
try:
return args[index]
except IndexError:
return None
def dayBeforeToday(d):
try:
diff = datetime.timedelta(days=int(d))
return date.today() - diff
except:
return None
def query(repos, author, days):
print "get in: "+repos
logs = []
for l in pysvn.Client().log(repos, discover_changed_paths=True):
logs.append({"author": l["author"], "date": date.fromtimestamp(l["date"]), "changed_count": len(l["changed_paths"])})
if not (author in [None, "-", "." ]):
logs = list(filter_logs(logs, lambda k, v: k == "author" and v == author))
dt = dayBeforeToday(days)
if not (dt in [None, "-", ".", "0"]):
logs = list(filter_logs(logs, lambda k, v: k == "date" and v >= dt))
return logs
def filter_logs(logs, where=lambda k, v: True):
#apply filter in log results
for l in logs:
for k, v in l.items():
if where(k, v):
yield l
def format2cols(items):
if len(items) == 0:
return "\n"
max_width = max(len(str(x)) for (x,y) in items)
template = "%%%ds %%s" % max_width
return "\n".join(template % (x, y) for (x, y) in items)
def sort_uniq_c(seq):
"Duplicate unix's 'sort | uniq -c | sort -nr'"
count_first = ((y,x) for (x,y) in histogram(seq, ["author", "date"]).items())
return format2cols(sorted(count_first, reverse=True))
def histogram(logs, groupBy):
result = {}
for l in logs:
k = ""
for s in groupBy:
k += str(l[s])+" "
result.setdefault(k,0)
result[k] += l["changed_count"]
return result
if __name__ == "__main__":
_author = arg(1)
_days = arg(2)
print sort_uniq_c(query(repos(work_path = "."), _author, _days))
Na realidade usei esse script python como base, nesse script além dos filtros por Autor e/ou Dias a contagem é realizada por resources no(s) commit, a saída é agrupada por autor e data de commit.
