run portfolio without delay

cal-itp · Aug 4, 2023 · 88f67c6 · 88f67c6
1 parent 13a73f3
commit 88f67c6
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Showing 6 changed files with 92 additions and 525 deletions.
diff --git a/portfolio/quarterly_performance_metrics/0__current_quarter_report__.ipynb b/portfolio/quarterly_performance_metrics/0__current_quarter_report__.ipynb
diff --git a/portfolio/quarterly_performance_metrics/0__historical_service_hours_v2__.ipynb b/portfolio/quarterly_performance_metrics/0__historical_service_hours_v2__.ipynb
diff --git a/portfolio/quarterly_performance_metrics/_toc.yml b/portfolio/quarterly_performance_metrics/_toc.yml
@@ -2,5 +2,6 @@ format: jb-book
 parts:
 -   caption: null
     chapters:
+    -   file: 0__current_quarter_report__.ipynb
     -   file: 0__historical_service_hours_v2__.ipynb
 root: README
diff --git a/portfolio/sites/quarterly_performance_metrics.yml b/portfolio/sites/quarterly_performance_metrics.yml
@@ -4,6 +4,6 @@ readme: ./quarterly_performance_objective/README.md
 parts:
 - caption: Introduction
 - chapters:
-  #- notebook: ./quarterly_performance_objective/current_quarter_report.ipynb
+  - notebook: ./quarterly_performance_objective/current_quarter_report.ipynb
   - notebook: ./quarterly_performance_objective/historical_service_hours_v2.ipynb
   #- notebook: ./quarterly_performance_objective/historical_report.ipynb
diff --git a/quarterly_performance_objective/C1_report_metrics.py b/quarterly_performance_objective/C1_report_metrics.py
@@ -134,18 +134,18 @@ def by_district_on_shn_breakdown(df: pd.DataFrame,
 def prep_data_for_report(analysis_date: str) -> gpd.GeoDataFrame:
     # https://stackoverflow.com/questions/69781678/intake-catalogue-level-parameters
 
-    df = catalog.routes_categorized_with_delay(
+    df = catalog.routes_categorized(
         analysis_date = analysis_date).read()
 
     # TODO: Some interest in excluding modes like rail from District 4
     # Don't have route_type...but maybe we want to exclude rail
-
+    '''
     df = df.assign(
         delay_hours = round(df.delay_seconds / 60 ** 2, 2)
     ).drop(columns = "delay_seconds")
     
     df = df[df.merge_delay != "right_only"].reset_index(drop=True)
-
+    '''
     return df