def test_centrality_display_multiple_dfs():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = centrality(data, "id", "author", "created_at", "discussion", name="mixih")
b = centrality(
parse_issues(PATH_TO_RESOURCES + "issues2.json"), "id", "author", "created_at", "discussion", name="asu"
)
display([a, b], show_plots=False)
assert True
def test_teamsize_on_issues_display_multiple_df():
issues = parse_issues(PATH_TO_RESOURCES + "issues.json")
comm = parse_comments(issues)
data = issues.merge(comm, how="outer")
a = teamsize(data, "id", "author", "created_at")
b = teamsize(parse_issues(PATH_TO_RESOURCES + "issues2.json"), "id", "author", "created_at")
display([a, b], show_plots=False)
assert True
def test_display_multiple_types():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = centrality(data, "id", "author", "created_at", "discussion", name="mixih")
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
b = response(data, "id", "author", "created_at", "discussion")
data = parse_repositories(PATH_TO_RESOURCES + "repo")
c = network(data, "author_name", "files")
display([a, b, c], show_plots=False)
assert True
def test_issues_activity_display():
issues = parse_issues(PATH_TO_RESOURCES + "issues.json")
comm = parse_comments(issues)
data = issues.merge(comm, how="outer")
a = activity(data, "id", "author", "created_at")
display(a, show_plots=False)
assert True
def test_centrality_on_issues_activity_df_row_count():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = centrality(data,
"id",
"author",
"created_at",
"discussion",
name="mixih")
assert len(a.activity.index) == 23
def test_centrality_on_issues_return_type():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
assert isinstance(
centrality(data,
"id",
"author",
"created_at",
"discussion",
name="mixih"), Centrality)
def test_centrality_on_issues_size_cols():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = centrality(data,
"id",
"author",
"created_at",
"discussion",
name="mixih")
assert a.size.columns.tolist() == ["date", "value"]
def test_network_display_multiple_dfs():
repo = parse_repositories(PATH_TO_RESOURCES + "repo")
repo_a = network(repo, "author_name", "files")
mail = parse_mail(PATH_TO_RESOURCES + "mailinglist.mbox")
mail_a = network(mail, "sender_name", "references", "message_id")
issues = parse_issues(PATH_TO_RESOURCES + "issues.json")
issues_a = network(issues, "author", "discussion")
display([repo_a, mail_a, issues_a], show_plots=False)
assert True
def test_response_on_issues_cols_response_time():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = response(data, "id", "author", "created_at", "discussion")
assert a.response_time.columns.tolist() == [
"date",
"response_time",
"response_time_lowess",
"response_time_formatted",
]
def test_activity_display_multiple_dfs():
repo = parse_repositories(PATH_TO_RESOURCES + "repo")
mail = parse_mail(PATH_TO_RESOURCES + "mailinglist.mbox")
issues = parse_issues(PATH_TO_RESOURCES + "issues.json")
comm = parse_comments(issues)
repo_a = activity(repo, "id", "author_name", "date")
mail_a = activity(mail, "message_id", "sender_name", "date")
issues_a = activity(issues.merge(comm, how="outer"), "id", "author", "created_at")
display([repo_a, mail_a, issues_a], show_plots=False)
assert True
def test_teamsize_on_issues_with_reporters_cols():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = teamsize(data, "id", "author", "created_at")
assert a.dataframe.columns.tolist() == [
"date",
"entry_count",
"author_count",
"entry_count_lowess",
"author_count_lowess",
]
def test_display_multiple_types_with_multiple_dfs():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = centrality(data, "id", "author", "created_at", "discussion", name="mixih")
b = centrality(
parse_issues(PATH_TO_RESOURCES + "issues2.json"), "id", "author", "created_at", "discussion", name="asu"
)
path = PATH_TO_RESOURCES + "repo"
if not os.listdir(path):
raise Exception("Empty git submodule. Try: git submodule update --init")
repo = parse_repositories(path)
c = network(repo, "author_name", "files")
mail = parse_mail(PATH_TO_RESOURCES + "mailinglist.mbox")
d = network(mail, "sender_name", "references", "message_id")
issues = parse_issues(PATH_TO_RESOURCES + "issues.json")
e = network(issues, "author", "discussion")
issues = parse_issues(PATH_TO_RESOURCES + "issues.json")
comm = parse_comments(issues)
data = issues.merge(comm, how="outer")
f = teamsize(data, "id", "author", "created_at")
g = teamsize(parse_issues(PATH_TO_RESOURCES + "issues2.json"), "id", "author", "created_at")
display([a, b, c, d, e, f, g], show_plots=False)
assert True
def test_centrality_size_df_frac():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
large_frac = centrality(data,
"id",
"author",
"created_at",
"discussion",
name="mixih",
frac=0.8)
low_frac = centrality(data,
"id",
"author",
"created_at",
"discussion",
name="mixih",
frac=0.025)
assert not large_frac.size.equals(low_frac.size)
def test_centrality_issues():
b = centrality(
parse_issues(PATH_TO_RESOURCES + "issues2.json"), "id", "author", "created_at", "discussion", name="asu"
)
display(b, show_plots=False)
assert True
def test_issues_network_display():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = network(data, "author", "discussion")
display(a, show_plots=False)
assert True
def test_activity_on_issues_with_commenters_cols():
issues = parse_issues(PATH_TO_RESOURCES + "issues.json")
data = parse_comments(issues)
a = activity(data, "id", "author", "created_at")
assert a.dataframe.columns.tolist() == ["name", "date", "count", "week_name"]
def test_teamsize_on_issues_with_commenters_and_reporters():
issues = parse_issues(PATH_TO_RESOURCES + "issues.json")
comments = parse_comments(issues)
data = issues.merge(comments, how="outer")
a = teamsize(data, "id", "author", "created_at")
assert len(a.dataframe.index) == 79
def test_response_display_multiple_dfs():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = response(data, "id", "author", "created_at", "discussion")
b = response(parse_issues(PATH_TO_RESOURCES + "issues2.json"), "id", "author", "created_at", "discussion")
display([a, b], show_plots=False)
assert True
from argparse import ArgumentParser
import comdaan as cd
if __name__ == "__main__":
# Fetching arguments from command line
arg_parser = ArgumentParser(description="A tool for visualizing, week by week, who contributes code")
arg_parser.add_argument(
"paths",
metavar="path",
nargs="+",
help="Path of a git repository to process or of a directory containing git repositories",
)
arg_parser.add_argument("-f", "--start", help="Start date")
arg_parser.add_argument("-u", "--end", help="End date")
arg_parser.add_argument(
"--palette", choices=["blue4", "magma256"], default="magma", help="Choose a palette (default is magma256)"
)
arg_parser.add_argument("-t", "--title", help="Title")
arg_parser.add_argument("-o", "--output", help="Output file (default is 'result.html')")
args = arg_parser.parse_args()
start_date = args.start
end_date = args.end
output_filename = args.output or "result.html"
issues = cd.parse_issues(args.paths, start_date, end_date)
comments = cd.parse_comments(issues)
data = issues.merge(comments, how="outer")
a = cd.teamsize(data, "id", "author", "created_at")
cd.display(a, palette=args.palette, output=output_filename)
def test_response_on_issues_return_type():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = response(data, "id", "author", "created_at", "discussion")
assert isinstance(a, Response)
def test_response_on_issues_row_count_response_time():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = response(data, "id", "author", "created_at", "discussion")
assert len(a.response_time.index) == 135
def test_response_on_issues_cols_unanswered():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = response(data, "id", "author", "created_at", "discussion")
assert a.unanswered_issues.columns.tolist() == [
"date", "unanswered_to_this_date"
]
def test_network_on_issues_row_count():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = network(data, "author", "discussion")
assert len(a.dataframe.index) == 30
def test_network_on_issues_cols():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = network(data, "author", "discussion")
assert a.dataframe.columns.tolist() == ["centrality"]
def test_teamsize_on_issues_with_commenters_vs_reporters():
issues = parse_issues(PATH_TO_RESOURCES + "issues.json")
comments = parse_comments(issues)
comm = teamsize(comments, "id", "author", "created_at")
rep = teamsize(issues, "id", "author", "created_at")
assert not comm.dataframe.equals(rep.dataframe)
def test_activity_on_issues_reported_row_count():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = activity(data, "id", "author", "created_at")
assert len(a.dataframe.index) == 84
def test_teamsize_frac():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
large_frac = teamsize(data, "id", "author", "created_at", frac=0.8)
low_frac = teamsize(data, "id", "author", "created_at", frac=0.025)
assert not large_frac.dataframe.equals(low_frac.dataframe)
def test_parse_issues_dataframe_output():
assert isinstance(parse_issues(PATH_TO_RESOURCES + "issues.json"), type(DataFrame()))
def test_teamsize_on_issue_comments_row_count():
issues = parse_issues(PATH_TO_RESOURCES + "issues.json")
data = parse_comments(issues)
a = teamsize(data, "id", "author", "created_at")
assert len(a.dataframe.index) == 71
def test_activity_on_issues_reporter_count():
data = parse_issues(PATH_TO_RESOURCES + "issues.json")
a = activity(data, "id", "author", "created_at")
assert len(a.authors) == 23
