Merge pull request #82 from ISE-GenAI-TechX25-Section-D/displayFriendsNames

Added Sensor Data information to activity_page.py

Author: diegoperez-techex

activity_page.py

@@ -1,7 +1,10 @@
 import streamlit as sl
-from data_fetcher import get_user_workouts, insert_user_post
+from data_fetcher import get_user_workouts, insert_user_post,get_user_sensor_data
 from modules import display_activity_summary, display_recent_workouts
 from datetime import datetime
+import pandas as pd
+from google.cloud import bigquery
+
 
 #Used GPT 4o to help with share logic
 
@@ -41,6 +44,31 @@ def side_view(user_id, workouts_list):
 
     with right_col:
         display_activity_summary(workouts_list)
+        sl.markdown(" ")
+        sl.markdown("---")
+        handle_sensor_data(workouts_list, user_id)
+    
+
+def handle_sensor_data(workouts_list, user_id):
+    client = bigquery.Client()
+    sl.header("Sensor Data")
+
+    for workout in workouts_list:
+        sl.subheader(f"{workout['workout_id']}")
+
+        sensor_data = get_user_sensor_data(
+            client,
+            user_id=user_id,
+            workout_id=workout['workout_id']
+        )
+        
+        if sensor_data:
+            with sl.expander("Sensor Data"):
+                sl.write("Sensor Data:")
+                df = pd.DataFrame(sensor_data)
+                sl.table(df)  # or st.dataframe(df)
+        else:
+            sl.write("No sensor data found for this workout.")
 
 
 def handle_share_section(user_id, workouts, recent_workouts):

data_fetcher.py

@@ -62,7 +62,14 @@
     },
 }
 
-
+@sl.cache_data(
+    ttl=60,
+    hash_funcs={
+        bigquery.Client: lambda _: None,     # or id(_)
+        types.FunctionType: lambda _: None,  # ignore function hashing
+        types.MethodType: lambda _: None,    # ignore method hashing
+    }
+)
 def get_user_sensor_data(client: bigquery.Client, user_id: str, workout_id: str):
     """Returns a list of timestampped information for a given workout.
     """
@@ -130,7 +137,7 @@ def get_user_sensor_data(client: bigquery.Client, user_id: str, workout_id: str)
 
 
 @sl.cache_data(
-    ttl=60,  # Set a 300-second TTL
+    ttl=60, 
     hash_funcs={
         bigquery.Client: lambda _: None,     # or id(_)
         types.FunctionType: lambda _: None,  # ignore function hashing
@@ -166,6 +173,7 @@ def default_execute_query(client, query):
 
 #used gemini for assistance:
 @sl.cache_data(
+    ttl=200,
     hash_funcs={
         bigquery.Client: lambda _: None,     # or id(_)
         types.FunctionType: lambda _: None,  # ignore function hashing
@@ -219,11 +227,11 @@ def default_execute_query(client, query):
 
 #used gemini for assistance: 
 @sl.cache_data(
-    ttl=30,  # Set a 300-second TTL
+    ttl=30, 
     hash_funcs={
-        bigquery.Client: lambda _: None,     # or id(_)
-        types.FunctionType: lambda _: None,  # ignore function hashing
-        types.MethodType: lambda _: None,    # ignore method hashing
+        bigquery.Client: lambda _: None,    
+        types.FunctionType: lambda _: None,
+        types.MethodType: lambda _: None,    
     }
 )
 def get_user_posts(user_id, query_db=bigquery, execute_query=None):
@@ -302,9 +310,9 @@ def default_execute_query(client, query):
 @sl.cache_data(
     ttl=300,  # Set a 300-second TTL
     hash_funcs={
-        bigquery.Client: lambda _: None,     # or id(_)
-        types.FunctionType: lambda _: None,  # ignore function hashing
-        types.MethodType: lambda _: None,    # ignore method hashing
+        bigquery.Client: lambda _: None,    
+        types.FunctionType: lambda _: None,  
+        types.MethodType: lambda _: None,   
     }
 )
 def get_user_friends(user_id, query_db=bigquery, execute_query=None):
@@ -331,9 +339,9 @@ def default_execute_query(client, query):
 
 @sl.cache_data( 
     hash_funcs={
-        bigquery.Client: lambda _: None,     # or id(_)
-        types.FunctionType: lambda _: None,  # ignore function hashing
-        types.MethodType: lambda _: None,    # ignore method hashing
+        bigquery.Client: lambda _: None,  
+        types.FunctionType: lambda _: None, 
+        types.MethodType: lambda _: None,   
     }
 )
 def get_user_info(user_id, query_db=bigquery, execute_query=None):
@@ -367,11 +375,13 @@ def default_execute_query(client, query):
     else:
         return None
 
-@sl.cache_data( 
+
+
+@sl.cache_data(
+    ttl=120, 
     hash_funcs={
-        bigquery.Client: lambda _: None,     # or id(_)
-        types.FunctionType: lambda _: None,  # ignore function hashing
-        types.MethodType: lambda _: None,    # ignore method hashing
+        bigquery.Client: lambda _: None,    
+        types.FunctionType: lambda _: None, 
     }
 )
 def get_genai_advice(