Add pandas dependency, enhance inventory summary visualization, and update table rendering

routes.py

@@ -6,6 +6,7 @@ from typing import Callable, Any, List
 from . import db
 from .utils import eager_load_user_relationships, eager_load_inventory_relationships, eager_load_room_relationships, eager_load_worklog_relationships, chunk_list
 from datetime import datetime, timedelta
+import pandas as pd
 
 main = Blueprint('main', __name__)
 
@@ -141,7 +142,42 @@ def index():
     
     stale_pagination = make_paginated_data(worklog_query, stale_worklog_page, 3)
     stale_count = len(worklog_query.all())
-    stale_worklog_headers = {k: v for k, v in worklog_headers.items() if k not in ['End Time', 'Quick Analysis?', 'Complete?', 'Follow Up?']}
+    stale_worklog_headers = {
+        k: v for k, v in worklog_headers.items()
+        if k not in ['End Time', 'Quick Analysis?', 'Complete?', 'Follow Up?']
+    }
+
+    inventory_query = eager_load_inventory_relationships(
+        db.session.query(Inventory)
+    )
+
+    results = inventory_query.all()
+    
+    data = [{
+        'id': item.id,
+        'condition': item.condition
+    } for item in results]
+
+    df = pd.DataFrame(data)
+
+    # Count items per condition
+    expected_conditions = [
+        'Deployed', 'Disposed', 'Inoperable', 'Partially Inoperable',
+        'Removed', 'Unverified', 'Working'
+    ]
+    pivot = df['condition'].value_counts().reindex(expected_conditions, fill_value=0)
+
+    # Convert pandas/numpy int64s to plain old Python ints
+    pivot = pivot.astype(int)
+    labels = list(pivot.index)
+    data = [int(x) for x in pivot.values]  # <- This is what fixes the JSON error
+
+    datasets = [{
+        'type': 'bar',
+        'x': labels,
+        'y': data,
+        'name': 'Inventory Conditions'
+    }]
 
     return render_template(
         "index.html", 
@@ -149,9 +185,15 @@ def index():
         stale_pagination=stale_pagination, 
         stale_count=stale_count, 
         stale_worklog_headers=stale_worklog_headers,
-        stale_worklog_rows=[{"id": log.id, "cells": [fn(log) for fn in stale_worklog_headers.values()]} for log in stale_pagination['items']],
+        stale_worklog_rows=[{
+            "id": log.id,
+            "cells": [fn(log) for fn in stale_worklog_headers.values()]
+        } for log in stale_pagination['items']],
+        labels=labels,
+        datasets=datasets
     )
 
+
 def link(text, endpoint, **values):
     return {"text": text, "url": url_for(endpoint, **values)}