import io
import logging
import matplotlib.pyplot as plt
from datetime import datetime
from typing import Any, Dict, List, Tuple, Optional
from src.core.config import settings
from src.services.stats_service import generate_statistics
logger = logging.getLogger(__name__)
# Use a non-interactive backend for matplotlib
import matplotlib
matplotlib.use("Agg")
def create_pie_chart(labels: List[str], sizes: List[int], title: str, small: bool = False) -> Optional[bytes]:
if not sizes or sum(sizes) == 0:
return None
# Custom styling to match the premium look
plt.style.use("dark_background")
figsize = (4, 4) if small else (6, 5)
fig, ax = plt.subplots(figsize=figsize, facecolor="#011627")
ax.set_facecolor("#011627")
colors = ["#49a6e8", "#81D4FA", "#1E88E5", "#0277BD", "#275877", "#B3E5FC"]
def make_autopct(values):
def my_autopct(pct):
total = sum(values)
val = int(round(pct * total / 100.0))
return f"{val}"
return my_autopct
patches, texts, autotexts = ax.pie(
sizes,
labels=[str(l)[:15] for l in labels],
autopct=make_autopct(sizes),
startangle=90,
colors=colors[: len(labels)],
textprops={"color": "white", "fontsize": 9},
labeldistance=1.05,
)
plt.setp(autotexts, size=10, weight="bold")
ax.axis("equal")
ax.set_title(title, color="white", fontsize=11, pad=5, fontweight="bold")
buf = io.BytesIO()
plt.savefig(buf, format="png", bbox_inches="tight", facecolor="#011627", dpi=120)
plt.close(fig)
buf.seek(0)
return buf.read()
def build_email_grid(items: List[Dict[str, Any]], cols: int) -> str:
if not items:
return "Keine Daten vorhanden
"
col_width = int(100 / cols)
html = ''
for i in range(0, len(items), cols):
html += ""
row_items = items[i : i + cols]
for item in row_items:
html += f'| '
html += f' {item["label"]} '
html += f'{item["value"]} '
html += " | "
for _ in range(cols - len(row_items)):
html += f' | '
html += "
"
html += "
"
return html
def generate_email_stats(tn_data: List[Dict[str, Any]], gf_data: List[Dict[str, Any]], event_info: Dict[str, Any]) -> Tuple[str, Dict[str, bytes]]:
"""Generates the HTML body and inline charts for the stats email."""
# Reuse the existing pure-Python stats logic
stats = generate_statistics(tn_data, gf_data, event_info)
inline_images = {}
# Create Stamm Chart
stamm_dist = stats.get("stamm_distribution", {})
if stamm_dist:
chart_bytes = create_pie_chart(
list(stamm_dist.keys()),
list(stamm_dist.values()),
"Gruppen Verteilung",
small=True
)
if chart_bytes:
inline_images["chart_stamm"] = chart_bytes
# Prepare data for grids
diet_stats_list = [
{"label": "Fleisch", "value": stats["diet_stats"].get("Meat", 0)},
{"label": "Vegetarisch", "value": stats["diet_stats"].get("Vegetarian", 0)},
{"label": "Vegan", "value": stats["diet_stats"].get("Vegan", 0)},
]
ticket_stats_list = [{"label": k, "value": v} for k, v in stats.get("ticket_stats", {}).items()]
diet_html = build_email_grid(diet_stats_list, cols=3)
ticket_html = build_email_grid(ticket_stats_list, cols=2)
event_id = event_info.get("list_id")
event_url = f"{settings.frontend_url}/events/{event_id}"
event_name = stats["event_title"]
accent_blue = "#49a6e8"
bg_dark = "#011627"
# Health Info Summary
has_health_data = len(stats["allergies"]) > 0 or len(stats["health_notes"]) > 0
health_summary_html = ""
if has_health_data:
summary_text = []
if stats["allergies"]:
summary_text.append(f"{len(stats['allergies'])} Einträge zu Allergien/Unverträglichkeiten")
if stats["health_notes"]:
summary_text.append(f"{len(stats['health_notes'])} zusätzliche Gesundheitsinformationen")
health_summary_html = f"""
Es liegen wichtige Gesundheitsdaten vor:
{"".join([f"- {txt}
" for txt in summary_text])}
"""
else:
health_summary_html = "Keine besonderen Gesundheitsdaten hinterlegt.
"
html_body = f"""
{event_name}
Automatischer Report
{" " if "chart_stamm" in inline_images else ""}
|
Teilnehmende
{stats['total_participants']}
Leitungen
{stats['total_leaders']}
|
Ernährungsweisen
{diet_html}
ÖPNV Tickets
{ticket_html}
Gesundheitsinformationen
{health_summary_html}
Detaillierte Listen und personenbezogene Daten findest du sicher verschlüsselt in der Webapp.
Zum Event Dashboard
© {datetime.now().year} campflowToolbox
"""
return html_body, inline_images