Initialize fork and rebrand app to event_manager

event_manager/events/report/event_attendance_summary/event_attendance_summary.js

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+// Copyright (c) 2025, BWH Studios and contributors
+// For license information, please see license.txt
+
+frappe.query_reports["Event Attendance Summary"] = {
+	filters: [
+		{
+			fieldname: "event",
+			label: __("Event"),
+			fieldtype: "Link",
+			options: "Pohodex Event Manager Event",
+			reqd: 1,
+		},
+	],
+};

event_manager/events/report/event_attendance_summary/event_attendance_summary.json

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+{
+ "add_total_row": 0,
+ "add_translate_data": 0,
+ "columns": [],
+ "creation": "2025-12-12 15:56:38.533142",
+ "disabled": 0,
+ "docstatus": 0,
+ "doctype": "Report",
+ "filters": [],
+ "idx": 0,
+ "is_standard": "Yes",
+ "json": "{}",
+ "letter_head": null,
+ "modified": "2025-12-12 15:56:50.729859",
+ "modified_by": "Administrator",
+ "module": "Events",
+ "name": "Event Attendance Summary",
+ "owner": "Administrator",
+ "prepared_report": 0,
+ "ref_doctype": "Event Check In",
+ "report_name": "Event Attendance Summary",
+ "report_type": "Script Report",
+ "roles": [
+  {
+   "role": "Event Manager"
+  },
+  {
+   "role": "System Manager"
+  }
+ ],
+ "timeout": 0
+}

event_manager/events/report/event_attendance_summary/event_attendance_summary.py

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+# Copyright (c) 2025, BWH Studios and contributors
+# For license information, please see license.txt
+
+import frappe
+from frappe import _
+from frappe.utils import formatdate
+
+
+def execute(filters: dict | None = None):
+	"""Return columns and data for the report.
+
+	This is the main entry point for the report. It accepts the filters as a
+	dictionary and should return columns and data. It is called by the framework
+	every time the report is refreshed or a filter is updated.
+	"""
+	event = filters.get("event")
+	if not event:
+		return [], []
+
+	# Get all unique check-in dates for this event (sorted)
+	check_in_dates = get_check_in_dates(event)
+
+	columns = get_columns(check_in_dates)
+	data = get_data(event, check_in_dates)
+	chart = get_chart(data, check_in_dates)
+	report_summary = get_report_summary(data, check_in_dates)
+
+	return columns, data, None, chart, report_summary
+
+
+def get_check_in_dates(event: str) -> list:
+	"""Get all unique check-in dates for the event, sorted chronologically."""
+	dates = frappe.db.sql(
+		"""
+		SELECT DISTINCT date
+		FROM `tabEvent Check In`
+		WHERE event = %s AND docstatus = 1 AND date IS NOT NULL
+		ORDER BY date ASC
+		""",
+		(event,),
+		as_dict=True,
+	)
+	return [d.date for d in dates]
+
+
+def get_columns(check_in_dates: list) -> list[dict]:
+	"""Return columns for the report.
+
+	One field definition per column, just like a DocType field definition.
+	Dynamic columns are added for each check-in date.
+	"""
+	columns = [
+		{
+			"label": _("Ticket"),
+			"fieldtype": "Link",
+			"options": "Event Ticket",
+			"fieldname": "ticket",
+			"width": 120,
+		},
+		{
+			"label": _("Attendee Name"),
+			"fieldtype": "Data",
+			"fieldname": "attendee_name",
+			"width": 180,
+		},
+		{
+			"label": _("Attendee Email"),
+			"fieldtype": "Data",
+			"fieldname": "attendee_email",
+			"width": 200,
+		},
+		{
+			"label": _("Ticket Type"),
+			"fieldtype": "Link",
+			"options": "Event Ticket Type",
+			"fieldname": "ticket_type",
+			"width": 150,
+		},
+	]
+
+	# Add dynamic columns for each check-in date
+	for i, date in enumerate(check_in_dates):
+		columns.append(
+			{
+				"label": formatdate(date, "d MMM"),  # e.g., "12 Dec"
+				"fieldtype": "Check",
+				"fieldname": f"day_{i}",
+				"width": 80,
+			}
+		)
+
+	return columns
+
+
+def get_data(event: str, check_in_dates: list) -> list[dict]:
+	"""Return data for the report.
+
+	Shows each ticket with check-in status for each day.
+	"""
+	# Get all check-ins for this event
+	check_ins = frappe.get_all(
+		"Event Check In",
+		filters={"event": event, "docstatus": 1},
+		fields=["ticket", "date"],
+	)
+
+	if not check_ins:
+		return []
+
+	# Build a map of ticket -> set of dates checked in
+	ticket_dates = {}
+	for ci in check_ins:
+		if ci.ticket not in ticket_dates:
+			ticket_dates[ci.ticket] = set()
+		if ci.date:
+			ticket_dates[ci.ticket].add(ci.date)
+
+	# Get ticket details
+	tickets = frappe.get_all(
+		"Event Ticket",
+		filters={"name": ["in", list(ticket_dates.keys())]},
+		fields=["name", "attendee_name", "attendee_email", "ticket_type"],
+	)
+
+	# Build the data rows
+	data = []
+	for ticket in tickets:
+		row = {
+			"ticket": ticket.name,
+			"attendee_name": ticket.attendee_name,
+			"attendee_email": ticket.attendee_email,
+			"ticket_type": ticket.ticket_type,
+		}
+
+		# Add check-in status for each date (1 or 0 for Check fieldtype)
+		checked_in_dates = ticket_dates.get(ticket.name, set())
+		for i, date in enumerate(check_in_dates):
+			row[f"day_{i}"] = 1 if date in checked_in_dates else 0
+
+		data.append(row)
+
+	# Sort by attendee name
+	data.sort(key=lambda x: (x.get("attendee_name") or "").lower())
+
+	return data
+
+
+def get_chart(data: list[dict], check_in_dates: list) -> dict:
+	"""Return chart data showing attendance per day."""
+	if not data or not check_in_dates:
+		return {}
+
+	labels = []
+	values = []
+
+	for i, date in enumerate(check_in_dates):
+		labels.append(formatdate(date, "d MMM"))
+		day_count = sum(1 for row in data if row.get(f"day_{i}") == 1)
+		values.append(day_count)
+
+	return {
+		"data": {
+			"labels": labels,
+			"datasets": [{"name": _("Attendees"), "values": values}],
+		},
+		"type": "bar",
+		"colors": ["#4F46E5"],
+	}
+
+
+def get_report_summary(data: list[dict], check_in_dates: list) -> list[dict]:
+	"""Return report summary with attendance counts per day and total unique attendees."""
+	if not data:
+		return []
+
+	summary = []
+
+	# Count attendance for each day
+	for i, date in enumerate(check_in_dates):
+		day_count = sum(1 for row in data if row.get(f"day_{i}") == 1)
+		summary.append(
+			{
+				"value": day_count,
+				"label": formatdate(date, "d MMM YYYY"),
+				"datatype": "Int",
+				"indicator": "blue",
+			}
+		)
+
+	# Total unique attendees (anyone who attended at least one day)
+	total_unique = len(data)
+	summary.append(
+		{
+			"value": total_unique,
+			"label": _("Total Unique Attendees"),
+			"datatype": "Int",
+			"indicator": "green",
+		}
+	)
+
+	return summary