SIGMOD Revision Experiments

.gitignore

@@ -1,3 +1,7 @@
+# Images
+*.svg
+*.png
+
 # Logging files
 *.log
 

analytics/app/pages/plots/cost_vs_eval_metric_agg.py

@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from typing import get_args
+from typing import Any, get_args
 
 import pandas as pd
 import plotly.express as px
@@ -32,9 +32,9 @@ class _PageState:
 
 def gen_fig_scatter_num_triggers(
     page: str,
-    eval_handler: str,
-    dataset_id: str,
-    metric: str,
+    eval_handler: str | Any | None,
+    dataset_id: str | Any | None,
+    metric: str | Any | None,
     agg_func_x: AGGREGATION_FUNCTION,
     agg_func_y: EVAL_AGGREGATION_FUNCTION,
     stages: list[str],

analytics/app/pages/plots/eval_heatmap.py

@@ -1,4 +1,5 @@
 from dataclasses import dataclass
+from typing import Any
 
 import pandas as pd
 from dash import Input, Output, callback, dcc, html
@@ -31,9 +32,9 @@ def gen_figure(
     page: str,
     multi_pipeline_mode: bool,
     patch_yearbook: bool,
-    eval_handler: str,
-    dataset_id: str,
-    metric: str,
+    eval_handler: str | Any | None,
+    dataset_id: str | Any | None,
+    metric: str | Any | None,
 ) -> go.Figure:
     """Create the cost over time figure with barplot or histogram. Histogram
     has nice binning while barplot is precise.

analytics/app/pages/plots/eval_over_time.py

@@ -1,4 +1,5 @@
 from dataclasses import dataclass
+from typing import Any
 
 import pandas as pd
 import plotly.express as px
@@ -29,9 +30,9 @@ def gen_figure(
     page: str,
     multi_pipeline_mode: bool,
     patch_yearbook: bool,
-    eval_handler: str,
-    dataset_id: str,
-    metric: str,
+    eval_handler: str | Any | None,
+    dataset_id: str | Any | None,
+    metric: str | Any | None,
 ) -> go.Figure:
     """Create the evaluation over time figure with a line plot.
 

analytics/app/pages/plots/num_samples.py

@@ -34,12 +34,12 @@ class _PageState:
 def gen_figure(
     page: str,
     multi_pipeline_mode: bool,
-    time_metric: str,
-    y_axis: YAxis,
-    use_scatter_size: bool,
+    time_metric: str | None,
+    y_axis: YAxis | None,
+    use_scatter_size: bool | None,
     patch_yearbook: bool,
-    dataset_id: str,
-    eval_handler: str,
+    dataset_id: str | None,
+    eval_handler: str | None,
 ) -> go.Figure:
     """Create the cost over time figure with barplot or histogram. Histogram
     has nice binning while barplot is precise.

analytics/app/pages/plots/num_triggers_eval_metric.py

@@ -31,9 +31,9 @@ class _PageState:
 def gen_fig_scatter_num_triggers(
     page: str,
     multi_pipeline_mode: bool,
-    eval_handler: str,
-    dataset_id: str,
-    metric: str,
+    eval_handler: str | None,
+    dataset_id: str | None,
+    metric: str | None,
     aggregate_metric: bool = True,
     time_weighted: bool = True,
     only_active_periods: bool = True,