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home.py

@@ -574,6 +574,7 @@ def build_home_page(
                                     label="Date",
                                     include_time=False,
                                     type="datetime",
+                                    interactive=True,
                                 )
                                 vitals_height = gr.Number(label="Height (cm)")
                                 vitals_weight = gr.Number(label="Weight (kg)")
@@ -601,6 +602,8 @@ def build_home_page(
                             )
                             save_vitals_status = gr.Markdown()
                         # Latest Vitals
+                        gr.Markdown("## Vitals - Latest")
+                        gr.Markdown("---")
                         with gr.Row():
                             latest_vitals_cards = [
                                 gr.Label(visible=False) for _ in range(20)
@@ -608,6 +611,8 @@ def build_home_page(
                         with gr.Row():
                             # Historical Vitals
                             with gr.Column(scale=1):
+                                gr.Markdown("## Vitals - History")
+                                gr.Markdown("---")
                                 vitals_df = gr.DataFrame(
                                     headers=[
                                         "Date",
@@ -619,6 +624,8 @@ def build_home_page(
                                     interactive=False,
                                 )
                             with gr.Column(scale=2):
+                                gr.Markdown("## Vitals - Trends")
+                                gr.Markdown("---")
                                 vitals_plots = []
                                 rows = math.ceil(
                                     20 / 2
@@ -1012,7 +1019,7 @@ def build_home_page(
                 *latest_vitals_cards,
                 *vitals_plots,
             ],
-        )
+        ).then(enable_component, outputs=save_vitals_btn)
 
         # open modal and set states
         def show_upload_reports_modal(user_email, patient_id):

modules/db.py

@@ -742,7 +742,7 @@ class SheamiDB:
             vitals = {}
         return vitals
 
-    async def get_vitals_trends_by_patient(self,patient_id):
+    async def get_vitals_trends_by_patient(self, patient_id):
         docs = await self.vitals.aggregate([
             {"$match": {"patient_id": ObjectId(patient_id)}},
             {"$unwind": "$readings"},
@@ -757,13 +757,43 @@ class SheamiDB:
 
         df = pd.DataFrame(docs)
         trend_docs = []
+
         if "name" in df:
             for vital_name, group in df.groupby("name"):
-                trend_docs.append({
-                    "test_name": vital_name,
-                    "trend_data": group[["date", "value"]].to_dict("records"),
-                    "unit": group["unit"].iloc[0],  # assume consistent unit
-                    # TODO: optional: enrich with AI-based reference ranges
-                    "test_reference_range": {}
-                })
+                if vital_name.lower() in ["bp", "blood pressure"]:
+                    # Split systolic/diastolic
+                    systolic, diastolic = [], []
+                    for _, row in group.iterrows():
+                        try:
+                            sys, dia = row["value"].split("/")
+                            systolic.append({"date": row["date"], "value": int(sys)})
+                            diastolic.append({"date": row["date"], "value": int(dia)})
+                        except Exception:
+                            continue
+
+                    # Append as two separate test series
+                    trend_docs.append({
+                        "test_name": "BP - Systolic",
+                        "trend_data": systolic,
+                        "unit": "mmHg",
+                        "test_reference_range": {}
+                    })
+                    trend_docs.append({
+                        "test_name": "BP - Diastolic",
+                        "trend_data": diastolic,
+                        "unit": "mmHg",
+                        "test_reference_range": {}
+                    })
+                else:
+                    # Other vitals
+                    trend_docs.append({
+                        "test_name": vital_name,
+                        "trend_data": group[["date", "value"]].to_dict("records"),
+                        "unit": group["unit"].iloc[0],
+                        "test_reference_range": {}
+                    })
+
+        # 🔑 Sort by test_name so BP series appear together
+        trend_docs = sorted(trend_docs, key=lambda x: x["test_name"])
+
         return trend_docs

plot_helper.py

@@ -108,7 +108,9 @@ def build_trend_figure(trend_doc: Dict[str, Any]) -> Figure:
         title=f"{trend_doc.get('test_name','')}",
     )
     fig.update_yaxes(autorange=True)
-    fig.update_xaxes(autorange=True)
+    fig.update_xaxes(
+        autorange=True, tickformat="%Y-%m-%d", tickangle=-45, tickmode="auto"
+    )
     return sanitize_plotly_figure(fig)
 
 
@@ -167,7 +169,13 @@ async def reset_trends():
     page = 0
     page_info = "Page 0 / 0"
 
-    return (*outputs, page, page_info, gr.update(interactive=False), gr.update(interactive=False))
+    return (
+        *outputs,
+        page,
+        page_info,
+        gr.update(interactive=False),
+        gr.update(interactive=False),
+    )
 
 
 def _to_jsonable_dt(x):
@@ -234,4 +242,9 @@ async def render_vitals_plot_layout(patient_id):
                 margin=dict(l=30, r=20, t=40, b=30),
             )
             figures.append(empty_fig)
-    return [gr.Plot(value=fig, label=fig.layout.title.text) for fig in figures]
+    
+    plots = []
+    for fig in figures:
+        plots.append(gr.Plot(value=fig, label=fig.layout.title.text))
+        fig.update_layout(title=None)
+    return plots

ui.py

@@ -825,7 +825,7 @@ async def save_vitals_readings(
         )
 
     await get_db().save_readings_to_db(
-        patient_id, reading_date.today(), readings, "some_user"
+        patient_id, reading_date, readings, "some_user"
     )
     # TODO: call AI here to attach personalized ranges + status
     # For now, just return the raw readings