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Add label filter to Issues Over Time graph #1189

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Add label filter to Issues Over Time graph #1189

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33 changes: 30 additions & 3 deletions 8Knot/pages/contributions/visualizations/issues_over_time.py
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Original file line number Diff line number Diff line change
Expand Up @@ -75,6 +75,28 @@
width=7,
),
),
dbc.Row(
[
dbc.Label(
"Issue Filter:",
html_for=f"label-filter-{PAGE}-{VIZ_ID}",
width={"size": "auto"},
),
dbc.Col(
dbc.RadioItems(
id=f"label-filter-{PAGE}-{VIZ_ID}",
options=[
{"label": "All Issues", "value": "all"},
{"label": "Bugs Only", "value": "bug"},
],
value="all",
inline=True,
className="custom-radio-buttons",
),
),
],
align="center",
),
],
class_name="dark-card",
id="issues-over-time",
Expand All @@ -89,10 +111,11 @@
Input(f"date-interval-{PAGE}-{VIZ_ID}", "value"),
Input(f"date-picker-range-{PAGE}-{VIZ_ID}", "start_date"),
Input(f"date-picker-range-{PAGE}-{VIZ_ID}", "end_date"),
Input(f"label-filter-{PAGE}-{VIZ_ID}", "value"),
],
background=True,
)
def issues_over_time_graph(repolist, interval, start_date, end_date):
def issues_over_time_graph(repolist, interval, start_date, end_date, label_filter):
# wait for data to asynchronously download and become available.
while not_cached := cf.get_uncached(func_name=iq.__name__, repolist=repolist):
logging.warning(f"ISSUES OVER TIME - WAITING ON DATA TO BECOME AVAILABLE")
Expand All @@ -114,7 +137,7 @@ def issues_over_time_graph(repolist, interval, start_date, end_date):
return nodata_graph

# function for all data pre processing
df_created, df_closed, df_open = process_data(df, interval, start_date, end_date)
df_created, df_closed, df_open = process_data(df, interval, start_date, end_date, label_filter)

fig = create_figure(df_created, df_closed, df_open, interval)

Expand All @@ -123,11 +146,15 @@ def issues_over_time_graph(repolist, interval, start_date, end_date):
return fig


def process_data(df: pd.DataFrame, interval, start_date, end_date):
def process_data(df: pd.DataFrame, interval, start_date, end_date, label_filter):
# convert to datetime objects rather than strings
df["created_at"] = pd.to_datetime(df["created_at"], utc=False)
df["closed_at"] = pd.to_datetime(df["closed_at"], utc=False)

# filter to bug-tagged issues only if requested
if label_filter == "bug":
df = df[df["labels"].str.contains("bug", case=False, na=False)]

# order values chronologically by creation date
df = df.sort_values(by="created_at", axis=0, ascending=True)

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