perfectionist

This commit is contained in:
bolade
2025-11-28 11:44:37 +01:00
parent f0e90aa772
commit e66b9e6c29
11 changed files with 728 additions and 314 deletions
+128 -56
View File
@@ -9,6 +9,7 @@ import os
import shutil
import tempfile
import uuid
from datetime import datetime
from pathlib import Path
from fastapi import FastAPI, File, Form, HTTPException, Request, UploadFile
@@ -109,7 +110,6 @@ async def upload_files(
gender: str = Form(...),
fat_percentage: float = Form(...),
focus: str = Form(default="Endurance"),
session_id: str = Form(default="default"),
next_testing_date: str = Form(...),
report_type: str = Form(default="full"),
spirometry_pdf: UploadFile = File(...),
@@ -179,6 +179,10 @@ async def upload_files(
# Prepare patient information
patient_name = f"{first_name} {last_name}"
print(f"DEBUG: Received next_testing_date: '{next_testing_date}'")
# Generate session_id internally using timestamp for unique identification
session_id = datetime.now().strftime("%Y%m%d_%H%M%S")
patient_info = {
"patient_name": patient_name,
"first_name": first_name,
@@ -290,8 +294,18 @@ async def upload_files(
@app.get("/preview", response_class=HTMLResponse)
async def preview(request: Request):
"""Preview generated report"""
# Check for required session data
if not request.session.get("report_path"):
return RedirectResponse(url="/", status_code=303)
# Ensure metrics exist in session, initialize if missing
if "metrics" not in request.session:
request.session["metrics"] = {"pnoe": {}, "spirometry": {}}
# Ensure patient_info exists
if "patient_info" not in request.session:
request.session["patient_info"] = {}
return render_template(
"preview.html", {"request": request, "session": request.session}
)
@@ -309,8 +323,16 @@ async def serve_graph(filename: str):
@app.get("/edit", response_class=HTMLResponse)
async def edit_form(request: Request):
"""Display edit metrics form"""
if not request.session.get("metrics"):
# Check for required session data
if not request.session.get("report_path") or not request.session.get(
"patient_info"
):
return RedirectResponse(url="/", status_code=303)
# Ensure metrics exist in session, initialize if missing
if "metrics" not in request.session:
request.session["metrics"] = {"pnoe": {}, "spirometry": {}}
return render_template(
"edit.html", {"request": request, "session": request.session}
)
@@ -325,69 +347,117 @@ async def edit_metrics(request: Request):
# Get form data
form_data = await request.form()
# Helper function to safely convert form values to float
def safe_float(value):
"""Convert form value to float, return None if empty or invalid"""
if not value or value.strip() == "":
return None
try:
return float(value)
except (ValueError, TypeError):
return None
# Build metric overrides
metric_overrides = {"pnoe": {}, "spirometry": {}}
# Pnoe overrides
if form_data.get("vo2_max"):
metric_overrides["pnoe"]["vo2_max"] = float(form_data["vo2_max"])
if form_data.get("vo2_max_per_kg"):
metric_overrides["pnoe"]["vo2_max_per_kg"] = float(form_data["vo2_max_per_kg"])
if form_data.get("peak_vt"):
metric_overrides["pnoe"]["peak_vt"] = float(form_data["peak_vt"])
if form_data.get("peak_vt_hr"):
metric_overrides["pnoe"]["peak_vt_hr"] = float(form_data["peak_vt_hr"])
if form_data.get("fat_max_value"):
metric_overrides["pnoe"]["fat_max_value"] = float(form_data["fat_max_value"])
if form_data.get("fat_max_hr"):
metric_overrides["pnoe"]["fat_max_hr"] = float(form_data["fat_max_hr"])
# Pnoe overrides - only add if value is provided and valid
vo2_max_val = safe_float(form_data.get("vo2_max"))
if vo2_max_val is not None:
metric_overrides["pnoe"]["vo2_max"] = vo2_max_val
# VT1 and VT2 overrides
if (
form_data.get("vt1_hr")
or form_data.get("vt1_speed")
or form_data.get("vt1_time")
):
metric_overrides["pnoe"]["vt1"] = {
"HeartRate": float(form_data.get("vt1_hr", 0)),
"Speed": float(form_data.get("vt1_speed", 0)),
"Time": float(form_data.get("vt1_time", 0)),
vo2_max_per_kg_val = safe_float(form_data.get("vo2_max_per_kg"))
if vo2_max_per_kg_val is not None:
metric_overrides["pnoe"]["vo2_max_per_kg"] = vo2_max_per_kg_val
peak_vt_val = safe_float(form_data.get("peak_vt"))
if peak_vt_val is not None:
metric_overrides["pnoe"]["peak_vt"] = peak_vt_val
peak_vt_hr_val = safe_float(form_data.get("peak_vt_hr"))
if peak_vt_hr_val is not None:
metric_overrides["pnoe"]["peak_vt_hr"] = peak_vt_hr_val
fat_max_value_val = safe_float(form_data.get("fat_max_value"))
if fat_max_value_val is not None:
metric_overrides["pnoe"]["fat_max_value"] = fat_max_value_val
fat_max_hr_val = safe_float(form_data.get("fat_max_hr"))
if fat_max_hr_val is not None:
metric_overrides["pnoe"]["fat_max_hr"] = fat_max_hr_val
# VT1 and VT2 overrides - use existing values if not provided
existing_metrics = request.session.get("metrics", {})
existing_pnoe = existing_metrics.get("pnoe", {})
existing_vt1 = existing_pnoe.get("vt1", {})
existing_vt2 = existing_pnoe.get("vt2", {})
vt1_hr_val = safe_float(form_data.get("vt1_hr"))
vt1_speed_val = safe_float(form_data.get("vt1_speed"))
vt1_time_val = safe_float(form_data.get("vt1_time"))
if vt1_hr_val is not None or vt1_speed_val is not None or vt1_time_val is not None:
vt1_dict = {
"HeartRate": vt1_hr_val
if vt1_hr_val is not None
else existing_vt1.get("HeartRate", 0),
"Speed": vt1_speed_val
if vt1_speed_val is not None
else existing_vt1.get("Speed", 0),
"Time": vt1_time_val
if vt1_time_val is not None
else existing_vt1.get("Time", 0),
}
metric_overrides["pnoe"]["vt1"] = vt1_dict
if (
form_data.get("vt2_hr")
or form_data.get("vt2_speed")
or form_data.get("vt2_time")
):
metric_overrides["pnoe"]["vt2"] = {
"HeartRate": float(form_data.get("vt2_hr", 0)),
"Speed": float(form_data.get("vt2_speed", 0)),
"Time": float(form_data.get("vt2_time", 0)),
vt2_hr_val = safe_float(form_data.get("vt2_hr"))
vt2_speed_val = safe_float(form_data.get("vt2_speed"))
vt2_time_val = safe_float(form_data.get("vt2_time"))
if vt2_hr_val is not None or vt2_speed_val is not None or vt2_time_val is not None:
vt2_dict = {
"HeartRate": vt2_hr_val
if vt2_hr_val is not None
else existing_vt2.get("HeartRate", 0),
"Speed": vt2_speed_val
if vt2_speed_val is not None
else existing_vt2.get("Speed", 0),
"Time": vt2_time_val
if vt2_time_val is not None
else existing_vt2.get("Time", 0),
}
metric_overrides["pnoe"]["vt2"] = vt2_dict
# Heart rate zones
# Heart rate zones - only add if value is provided
for i in range(1, 6):
zone_key = f"zone{i}_bpm"
if form_data.get(zone_key):
metric_overrides["pnoe"][zone_key] = form_data[zone_key]
zone_val = form_data.get(zone_key)
if zone_val and zone_val.strip():
metric_overrides["pnoe"][zone_key] = zone_val.strip()
# Spirometry overrides
if form_data.get("fvc_best"):
metric_overrides["spirometry"]["fvc_best"] = float(form_data["fvc_best"])
if form_data.get("fvc_pred"):
metric_overrides["spirometry"]["fvc_pred"] = float(form_data["fvc_pred"])
if form_data.get("fev1_best"):
metric_overrides["spirometry"]["fev1_best"] = float(form_data["fev1_best"])
if form_data.get("fev1_pred"):
metric_overrides["spirometry"]["fev1_pred"] = float(form_data["fev1_pred"])
if form_data.get("fev1_fvc_pct_best"):
metric_overrides["spirometry"]["fev1_fvc_pct_best"] = float(
form_data["fev1_fvc_pct_best"]
)
if form_data.get("fev1_fvc_pct_pred"):
metric_overrides["spirometry"]["fev1_fvc_pct_pred"] = float(
form_data["fev1_fvc_pct_pred"]
)
# Spirometry overrides - only add if value is provided and valid
fvc_best_val = safe_float(form_data.get("fvc_best"))
if fvc_best_val is not None:
metric_overrides["spirometry"]["fvc_best"] = fvc_best_val
fvc_pred_val = safe_float(form_data.get("fvc_pred"))
if fvc_pred_val is not None:
metric_overrides["spirometry"]["fvc_pred"] = fvc_pred_val
fev1_best_val = safe_float(form_data.get("fev1_best"))
if fev1_best_val is not None:
metric_overrides["spirometry"]["fev1_best"] = fev1_best_val
fev1_pred_val = safe_float(form_data.get("fev1_pred"))
if fev1_pred_val is not None:
metric_overrides["spirometry"]["fev1_pred"] = fev1_pred_val
fev1_fvc_pct_best_val = safe_float(form_data.get("fev1_fvc_pct_best"))
if fev1_fvc_pct_best_val is not None:
metric_overrides["spirometry"]["fev1_fvc_pct_best"] = fev1_fvc_pct_best_val
fev1_fvc_pct_pred_val = safe_float(form_data.get("fev1_fvc_pct_pred"))
if fev1_fvc_pct_pred_val is not None:
metric_overrides["spirometry"]["fev1_fvc_pct_pred"] = fev1_fvc_pct_pred_val
try:
# Get file paths from session
@@ -468,6 +538,7 @@ async def edit_metrics(request: Request):
"fat_percentage": patient_info.get("fat_percentage", 0),
"gender": patient_info.get("gender", "female"),
}
# Calculate fat_mass and lean_mass (extract_patient_info does this when no SECA file)
context_gen.extract_patient_info(patient_info.get("last_name", ""))
spirometry_overrides = metric_overrides.get("spirometry", {})
@@ -514,7 +585,6 @@ async def generate_report(
height: str = Form(..., description="Patient height (e.g., 5'4\")"),
weight: str = Form(..., description="Patient weight (e.g., 123lbs)"),
focus: str = Form(default="Endurance", description="Training focus"),
session_id: str = Form(default="default", description="Session ID"),
spirometry_pdf: UploadFile = File(..., description="Spirometry PDF file"),
pnoe_csv: UploadFile = File(..., description="Pnoe CSV file"),
seca_excel: UploadFile = File(..., description="SECA Excel file"),
@@ -534,7 +604,6 @@ async def generate_report(
height: Patient height
weight: Patient weight
focus: Training focus (default: Endurance)
session_id: Session identifier (default: default)
Returns:
ReportResponse with report path, graphs generated, and analysis data
@@ -571,6 +640,9 @@ async def generate_report(
with open(seca_path, "wb") as f:
shutil.copyfileobj(seca_excel.file, f)
# Generate session_id internally using timestamp for unique identification
session_id = datetime.now().strftime("%Y%m%d_%H%M%S")
# Prepare patient information
patient_info = {
"patient_name": patient_name,