feat(astf): Support framesizes for ASTF

[csit.git] / resources / tools / dash / app / pal / __init__.py

diff --git a/resources/tools/dash/app/pal/__init__.py b/resources/tools/dash/app/pal/__init__.py
index 863fd08..4e32598 100644 (file)
--- a/resources/tools/dash/app/pal/__init__.py
+++ b/resources/tools/dash/app/pal/__init__.py
@@ -20,6 +20,17 @@ from flask import Flask
 from flask_assets import Environment
 
 
+# Maximal value of TIME_PERIOD in days.
+# Do not change without a good reason.
+MAX_TIME_PERIOD = 180
+
+# It defines the time period in days from now back to the past from which data
+# is read to dataframes.
+# TIME_PERIOD = None means all data (max MAX_TIME_PERIOD days) is read.
+# TIME_PERIOD = MAX_TIME_PERIOD is the default value
+TIME_PERIOD = MAX_TIME_PERIOD  # [days]
+
+
 def init_app():
     """Construct core Flask application with embedded Dash app.
     """
@@ -38,21 +49,23 @@ def init_app():
     with app.app_context():
         # Import parts of our core Flask app.
         from . import routes
-        from .assets import compile_static_assets
 
         assets = Environment()
         assets.init_app(app)
 
-        # Compile static assets.
-        compile_static_assets(assets)
+        if TIME_PERIOD is None or TIME_PERIOD > MAX_TIME_PERIOD:
+            time_period = MAX_TIME_PERIOD
+        else:
+            time_period = TIME_PERIOD
 
         # Import Dash applications.
-        from .trending.trending import init_trending
-        app = init_trending(app)
+        from .stats.stats import init_stats
+        app = init_stats(app, time_period=time_period)
 
-        from .report.report import init_report
-        app = init_report(app)
+        from .trending.trending import init_trending
+        app = init_trending(app, time_period=time_period)
 
     return app
 
+
 app = init_app()