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home.py

@@ -514,7 +514,10 @@ def build_home_page():
                             gr.Column()
                         test_names_state = gr.State([])
                         num_cols = gr.State(4)
-                        refresh_btn = gr.Button("🔄 Refresh Trends")
+                        with gr.Row():
+                            gr.Column()
+                            refresh_btn = gr.Button("🔄 Refresh", scale=0)
+                            gr.Column()
                         chart_outputs = []
 
                         # Compute how many plots per column (ceil division)

modules/db.py

@@ -82,7 +82,7 @@ class SheamiDB:
         return patient
 
     async def get_patients_by_user(self, user_id: str) -> list:
-        cursor = self.patients.find({"user_id": ObjectId(user_id)})
+        cursor = self.patients.find({"user_id": ObjectId(user_id)}).sort("name")
         patients = await cursor.to_list(
             length=None
         )  # length=None returns all documents
@@ -150,7 +150,7 @@ class SheamiDB:
     async def get_trends_by_patient(
         self, patient_id: str, fields: list[str] = None, serializable=False
     ) -> list:
-        cursor = self.trends.find({"patient_id": ObjectId(patient_id)})
+        cursor = self.trends.find({"patient_id": ObjectId(patient_id)}).sort("test_name")
         trends = await cursor.to_list(length=None)
         if fields:
             trends = [

plot_helper.py

@@ -10,6 +10,7 @@ from common import get_db
 MAX_CHARTS_IN_PAGE = 50
 NUM_COLS = 4
 
+
 def coerce_to_number(val):
     """Try converting to int/float, else return original string."""
     if val is None:
@@ -26,6 +27,7 @@ def coerce_to_number(val):
         except (ValueError, TypeError):
             return val  # fallback to original (string, unit, etc.)
 
+
 def build_trend_figure(trend_doc: Dict[str, Any]) -> Figure:
     """Make a Plotly line chart for a single test's trend_data with optional reference ranges."""
     points = trend_doc.get("trend_data", [])
@@ -59,8 +61,10 @@ def build_trend_figure(trend_doc: Dict[str, Any]) -> Figure:
     if ref_min is not None and ref_max is not None:
         fig.add_shape(
             type="rect",
-            x0=min(dates), x1=max(dates),
-            y0=ref_min, y1=ref_max,
+            x0=min(dates),
+            x1=max(dates),
+            y0=ref_min,
+            y1=ref_max,
             fillcolor="rgba(0,200,0,0.1)",  # light green
             line=dict(width=0),
             layer="below",
@@ -100,10 +104,11 @@ def build_trend_figure(trend_doc: Dict[str, Any]) -> Figure:
         margin=dict(l=30, r=20, t=40, b=30),
         xaxis_title="Date",
         yaxis_title="Value",
-        title=f"{trend_doc.get('test_name','')} ({len(points)} points)",
+        title=f"{trend_doc.get('test_name','')}",
     )
     return sanitize_plotly_figure(fig)
 
+
 async def load_all_trend_figures(patient_id: str):
     """Fetch all test trend docs and return list of Plot figures."""
     if not patient_id:
@@ -114,6 +119,7 @@ async def load_all_trend_figures(patient_id: str):
     figures = [build_trend_figure(doc) for doc in docs if doc]
     return figures
 
+
 async def update_trends(patient_id, page, num_cols):
     figures = await load_all_trend_figures(patient_id)
     total_pages = (len(figures) - 1) // MAX_CHARTS_IN_PAGE + 1
@@ -125,20 +131,24 @@ async def update_trends(patient_id, page, num_cols):
     outputs = []
     for i in range(MAX_CHARTS_IN_PAGE):
         if i < len(page_figures):
-            outputs.append(gr.update(value=page_figures[i], visible=True))
+            title = page_figures[i].layout.title.text
+            page_figures[i].update_layout(title="")
+            outputs.append(gr.update(value=page_figures[i], visible=True, label=title))
         else:
-            outputs.append(gr.update(visible=False))
+            outputs.append(gr.update(visible=False, label="", value=None))
 
     # also return updated page + page info for a label
     return outputs + [page, f"Page {page+1} / {total_pages}"]
 
+
 def _to_jsonable_dt(x):
     if isinstance(x, pd.Timestamp):
-        return x.to_pydatetime()   # or x.isoformat()
+        return x.to_pydatetime()  # or x.isoformat()
     if isinstance(x, np.datetime64):
         return pd.to_datetime(x).to_pydatetime()
     return x
 
+
 def sanitize_plotly_figure(fig):
     # traces (x/xbins/…)
     for tr in fig.data:
@@ -169,9 +179,11 @@ def sanitize_plotly_figure(fig):
 
     return fig
 
+
 def next_page(page, figures_len):
     total_pages = (figures_len - 1) // MAX_CHARTS_IN_PAGE + 1
     return min(page + 1, total_pages - 1)
 
+
 def prev_page(page):
     return max(page - 1, 0)