# Copyright (c) 2015, InfluxFramework LLC
# License: GNU General Public License v3. See license.txt


import functools
import math
import re

import influxframework
from influxframework import _
from influxframework.utils import add_days, add_months, cint, cstr, flt, formatdate, get_first_day, getdate

from influxerp.accounts.doctype.accounting_dimension.accounting_dimension import (
	get_accounting_dimensions,
	get_dimension_with_children,
)
from influxerp.accounts.report.utils import convert_to_presentation_currency, get_currency
from influxerp.accounts.utils import get_fiscal_year


def get_period_list(
	from_fiscal_year,
	to_fiscal_year,
	period_start_date,
	period_end_date,
	filter_based_on,
	periodicity,
	accumulated_values=False,
	company=None,
	reset_period_on_fy_change=True,
	ignore_fiscal_year=False,
):
	"""Get a list of dict {"from_date": from_date, "to_date": to_date, "key": key, "label": label}
	Periodicity can be (Yearly, Quarterly, Monthly)"""

	if filter_based_on == "Fiscal Year":
		fiscal_year = get_fiscal_year_data(from_fiscal_year, to_fiscal_year)
		validate_fiscal_year(fiscal_year, from_fiscal_year, to_fiscal_year)
		year_start_date = getdate(fiscal_year.year_start_date)
		year_end_date = getdate(fiscal_year.year_end_date)
	else:
		validate_dates(period_start_date, period_end_date)
		year_start_date = getdate(period_start_date)
		year_end_date = getdate(period_end_date)

	months_to_add = {"Yearly": 12, "Half-Yearly": 6, "Quarterly": 3, "Monthly": 1}[periodicity]

	period_list = []

	start_date = year_start_date
	months = get_months(year_start_date, year_end_date)

	for i in range(cint(math.ceil(months / months_to_add))):
		period = influxframework._dict({"from_date": start_date})

		if i == 0 and filter_based_on == "Date Range":
			to_date = add_months(get_first_day(start_date), months_to_add)
		else:
			to_date = add_months(start_date, months_to_add)

		start_date = to_date

		# Subtract one day from to_date, as it may be first day in next fiscal year or month
		to_date = add_days(to_date, -1)

		if to_date <= year_end_date:
			# the normal case
			period.to_date = to_date
		else:
			# if a fiscal year ends before a 12 month period
			period.to_date = year_end_date

		if not ignore_fiscal_year:
			period.to_date_fiscal_year = get_fiscal_year(period.to_date, company=company)[0]
			period.from_date_fiscal_year_start_date = get_fiscal_year(period.from_date, company=company)[1]

		period_list.append(period)

		if period.to_date == year_end_date:
			break

	# common processing
	for opts in period_list:
		key = opts["to_date"].strftime("%b_%Y").lower()
		if periodicity == "Monthly" and not accumulated_values:
			label = formatdate(opts["to_date"], "MMM YYYY")
		else:
			if not accumulated_values:
				label = get_label(periodicity, opts["from_date"], opts["to_date"])
			else:
				if reset_period_on_fy_change:
					label = get_label(periodicity, opts.from_date_fiscal_year_start_date, opts["to_date"])
				else:
					label = get_label(periodicity, period_list[0].from_date, opts["to_date"])

		opts.update(
			{
				"key": key.replace(" ", "_").replace("-", "_"),
				"label": label,
				"year_start_date": year_start_date,
				"year_end_date": year_end_date,
			}
		)

	return period_list


def get_fiscal_year_data(from_fiscal_year, to_fiscal_year):
	fiscal_year = influxframework.db.sql(
		"""select min(year_start_date) as year_start_date,
		max(year_end_date) as year_end_date from `tabFiscal Year` where
		name between %(from_fiscal_year)s and %(to_fiscal_year)s""",
		{"from_fiscal_year": from_fiscal_year, "to_fiscal_year": to_fiscal_year},
		as_dict=1,
	)

	return fiscal_year[0] if fiscal_year else {}


def validate_fiscal_year(fiscal_year, from_fiscal_year, to_fiscal_year):
	if not fiscal_year.get("year_start_date") or not fiscal_year.get("year_end_date"):
		influxframework.throw(_("Start Year and End Year are mandatory"))

	if getdate(fiscal_year.get("year_end_date")) < getdate(fiscal_year.get("year_start_date")):
		influxframework.throw(_("End Year cannot be before Start Year"))


def validate_dates(from_date, to_date):
	if not from_date or not to_date:
		influxframework.throw(_("From Date and To Date are mandatory"))

	if to_date < from_date:
		influxframework.throw(_("To Date cannot be less than From Date"))


def get_months(start_date, end_date):
	diff = (12 * end_date.year + end_date.month) - (12 * start_date.year + start_date.month)
	return diff + 1


def get_label(periodicity, from_date, to_date):
	if periodicity == "Yearly":
		if formatdate(from_date, "YYYY") == formatdate(to_date, "YYYY"):
			label = formatdate(from_date, "YYYY")
		else:
			label = formatdate(from_date, "YYYY") + "-" + formatdate(to_date, "YYYY")
	else:
		label = formatdate(from_date, "MMM YY") + "-" + formatdate(to_date, "MMM YY")

	return label


def get_data(
	company,
	root_type,
	balance_must_be,
	period_list,
	filters=None,
	accumulated_values=1,
	only_current_fiscal_year=True,
	ignore_closing_entries=False,
	ignore_accumulated_values_for_fy=False,
	total=True,
):

	accounts = get_accounts(company, root_type)
	if not accounts:
		return None

	accounts, accounts_by_name, parent_children_map = filter_accounts(accounts)

	company_currency = get_appropriate_currency(company, filters)

	gl_entries_by_account = {}
	for root in influxframework.db.sql(
		"""select lft, rgt from tabAccount
			where root_type=%s and ifnull(parent_account, '') = ''""",
		root_type,
		as_dict=1,
	):

		set_gl_entries_by_account(
			company,
			period_list[0]["year_start_date"] if only_current_fiscal_year else None,
			period_list[-1]["to_date"],
			root.lft,
			root.rgt,
			filters,
			gl_entries_by_account,
			ignore_closing_entries=ignore_closing_entries,
		)

	calculate_values(
		accounts_by_name,
		gl_entries_by_account,
		period_list,
		accumulated_values,
		ignore_accumulated_values_for_fy,
	)
	accumulate_values_into_parents(accounts, accounts_by_name, period_list)
	out = prepare_data(accounts, balance_must_be, period_list, company_currency)
	out = filter_out_zero_value_rows(out, parent_children_map)

	if out and total:
		add_total_row(out, root_type, balance_must_be, period_list, company_currency)

	return out


def get_appropriate_currency(company, filters=None):
	if filters and filters.get("presentation_currency"):
		return filters["presentation_currency"]
	else:
		return influxframework.get_cached_value("Company", company, "default_currency")


def calculate_values(
	accounts_by_name,
	gl_entries_by_account,
	period_list,
	accumulated_values,
	ignore_accumulated_values_for_fy,
):
	for entries in gl_entries_by_account.values():
		for entry in entries:
			d = accounts_by_name.get(entry.account)
			if not d:
				influxframework.msgprint(
					_("Could not retrieve information for {0}.").format(entry.account),
					title="Error",
					raise_exception=1,
				)
			for period in period_list:
				# check if posting date is within the period

				if entry.posting_date <= period.to_date:
					if (accumulated_values or entry.posting_date >= period.from_date) and (
						not ignore_accumulated_values_for_fy or entry.fiscal_year == period.to_date_fiscal_year
					):
						d[period.key] = d.get(period.key, 0.0) + flt(entry.debit) - flt(entry.credit)

			if entry.posting_date < period_list[0].year_start_date:
				d["opening_balance"] = d.get("opening_balance", 0.0) + flt(entry.debit) - flt(entry.credit)


def accumulate_values_into_parents(accounts, accounts_by_name, period_list):
	"""accumulate children's values in parent accounts"""
	for d in reversed(accounts):
		if d.parent_account:
			for period in period_list:
				accounts_by_name[d.parent_account][period.key] = accounts_by_name[d.parent_account].get(
					period.key, 0.0
				) + d.get(period.key, 0.0)

			accounts_by_name[d.parent_account]["opening_balance"] = accounts_by_name[d.parent_account].get(
				"opening_balance", 0.0
			) + d.get("opening_balance", 0.0)


def prepare_data(accounts, balance_must_be, period_list, company_currency):
	data = []
	year_start_date = period_list[0]["year_start_date"].strftime("%Y-%m-%d")
	year_end_date = period_list[-1]["year_end_date"].strftime("%Y-%m-%d")

	for d in accounts:
		# add to output
		has_value = False
		total = 0
		row = influxframework._dict(
			{
				"account": _(d.name),
				"parent_account": _(d.parent_account) if d.parent_account else "",
				"indent": flt(d.indent),
				"year_start_date": year_start_date,
				"year_end_date": year_end_date,
				"currency": company_currency,
				"include_in_gross": d.include_in_gross,
				"account_type": d.account_type,
				"is_group": d.is_group,
				"opening_balance": d.get("opening_balance", 0.0) * (1 if balance_must_be == "Debit" else -1),
				"account_name": (
					"%s - %s" % (_(d.account_number), _(d.account_name))
					if d.account_number
					else _(d.account_name)
				),
			}
		)
		for period in period_list:
			if d.get(period.key) and balance_must_be == "Credit":
				# change sign based on Debit or Credit, since calculation is done using (debit - credit)
				d[period.key] *= -1

			row[period.key] = flt(d.get(period.key, 0.0), 3)

			if abs(row[period.key]) >= 0.005:
				# ignore zero values
				has_value = True
				total += flt(row[period.key])

		row["has_value"] = has_value
		row["total"] = total
		data.append(row)

	return data


def filter_out_zero_value_rows(data, parent_children_map, show_zero_values=False):
	data_with_value = []
	for d in data:
		if show_zero_values or d.get("has_value"):
			data_with_value.append(d)
		else:
			# show group with zero balance, if there are balances against child
			children = [child.name for child in parent_children_map.get(d.get("account")) or []]
			if children:
				for row in data:
					if row.get("account") in children and row.get("has_value"):
						data_with_value.append(d)
						break

	return data_with_value


def add_total_row(out, root_type, balance_must_be, period_list, company_currency):
	total_row = {
		"account_name": _("Total {0} ({1})").format(_(root_type), _(balance_must_be)),
		"account": _("Total {0} ({1})").format(_(root_type), _(balance_must_be)),
		"currency": company_currency,
		"opening_balance": 0.0,
	}

	for row in out:
		if not row.get("parent_account"):
			for period in period_list:
				total_row.setdefault(period.key, 0.0)
				total_row[period.key] += row.get(period.key, 0.0)
				row[period.key] = row.get(period.key, 0.0)

			total_row.setdefault("total", 0.0)
			total_row["total"] += flt(row["total"])
			total_row["opening_balance"] += row["opening_balance"]
			row["total"] = ""

	if "total" in total_row:
		out.append(total_row)

		# blank row after Total
		out.append({})


def get_accounts(company, root_type):
	return influxframework.db.sql(
		"""
		select name, account_number, parent_account, lft, rgt, root_type, report_type, account_name, include_in_gross, account_type, is_group, lft, rgt
		from `tabAccount`
		where company=%s and root_type=%s order by lft""",
		(company, root_type),
		as_dict=True,
	)


def filter_accounts(accounts, depth=20):
	parent_children_map = {}
	accounts_by_name = {}
	for d in accounts:
		accounts_by_name[d.name] = d
		parent_children_map.setdefault(d.parent_account or None, []).append(d)

	filtered_accounts = []

	def add_to_list(parent, level):
		if level < depth:
			children = parent_children_map.get(parent) or []
			sort_accounts(children, is_root=True if parent == None else False)

			for child in children:
				child.indent = level
				filtered_accounts.append(child)
				add_to_list(child.name, level + 1)

	add_to_list(None, 0)

	return filtered_accounts, accounts_by_name, parent_children_map


def sort_accounts(accounts, is_root=False, key="name"):
	"""Sort root types as Asset, Liability, Equity, Income, Expense"""

	def compare_accounts(a, b):
		if re.split(r"\W+", a[key])[0].isdigit():
			# if chart of accounts is numbered, then sort by number
			return int(a[key] > b[key]) - int(a[key] < b[key])
		elif is_root:
			if a.report_type != b.report_type and a.report_type == "Balance Sheet":
				return -1
			if a.root_type != b.root_type and a.root_type == "Asset":
				return -1
			if a.root_type == "Liability" and b.root_type == "Equity":
				return -1
			if a.root_type == "Income" and b.root_type == "Expense":
				return -1
		else:
			# sort by key (number) or name
			return int(a[key] > b[key]) - int(a[key] < b[key])
		return 1

	accounts.sort(key=functools.cmp_to_key(compare_accounts))


def set_gl_entries_by_account(
	company,
	from_date,
	to_date,
	root_lft,
	root_rgt,
	filters,
	gl_entries_by_account,
	ignore_closing_entries=False,
):
	"""Returns a dict like { "account": [gl entries], ... }"""

	additional_conditions = get_additional_conditions(from_date, ignore_closing_entries, filters)

	accounts = influxframework.db.sql_list(
		"""select name from `tabAccount`
		where lft >= %s and rgt <= %s and company = %s""",
		(root_lft, root_rgt, company),
	)

	if accounts:
		additional_conditions += " and account in ({})".format(
			", ".join(influxframework.db.escape(d) for d in accounts)
		)

		gl_filters = {
			"company": company,
			"from_date": from_date,
			"to_date": to_date,
			"finance_book": cstr(filters.get("finance_book")),
		}

		if filters.get("include_default_book_entries"):
			gl_filters["company_fb"] = influxframework.db.get_value("Company", company, "default_finance_book")

		for key, value in filters.items():
			if value:
				gl_filters.update({key: value})

		gl_entries = influxframework.db.sql(
			"""
			select posting_date, account, debit, credit, is_opening, fiscal_year,
				debit_in_account_currency, credit_in_account_currency, account_currency from `tabGL Entry`
			where company=%(company)s
			{additional_conditions}
			and posting_date <= %(to_date)s
			and is_cancelled = 0""".format(
				additional_conditions=additional_conditions
			),
			gl_filters,
			as_dict=True,
		)

		if filters and filters.get("presentation_currency"):
			convert_to_presentation_currency(gl_entries, get_currency(filters), filters.get("company"))

		for entry in gl_entries:
			gl_entries_by_account.setdefault(entry.account, []).append(entry)

		return gl_entries_by_account


def get_additional_conditions(from_date, ignore_closing_entries, filters):
	additional_conditions = []

	accounting_dimensions = get_accounting_dimensions(as_list=False)

	if ignore_closing_entries:
		additional_conditions.append("ifnull(voucher_type, '')!='Period Closing Voucher'")

	if from_date:
		additional_conditions.append("posting_date >= %(from_date)s")

	if filters:
		if filters.get("project"):
			if not isinstance(filters.get("project"), list):
				filters.project = influxframework.parse_json(filters.get("project"))

			additional_conditions.append("project in %(project)s")

		if filters.get("cost_center"):
			filters.cost_center = get_cost_centers_with_children(filters.cost_center)
			additional_conditions.append("cost_center in %(cost_center)s")

		if filters.get("include_default_book_entries"):
			additional_conditions.append(
				"(finance_book in (%(finance_book)s, %(company_fb)s, '') OR finance_book IS NULL)"
			)
		else:
			additional_conditions.append("(finance_book in (%(finance_book)s, '') OR finance_book IS NULL)")

	if accounting_dimensions:
		for dimension in accounting_dimensions:
			if filters.get(dimension.fieldname):
				if influxframework.get_cached_value("DocType", dimension.document_type, "is_tree"):
					filters[dimension.fieldname] = get_dimension_with_children(
						dimension.document_type, filters.get(dimension.fieldname)
					)
					additional_conditions.append("{0} in %({0})s".format(dimension.fieldname))
				else:
					additional_conditions.append("{0} in %({0})s".format(dimension.fieldname))

	return " and {}".format(" and ".join(additional_conditions)) if additional_conditions else ""


def get_cost_centers_with_children(cost_centers):
	if not isinstance(cost_centers, list):
		cost_centers = [d.strip() for d in cost_centers.strip().split(",") if d]

	all_cost_centers = []
	for d in cost_centers:
		if influxframework.db.exists("Cost Center", d):
			lft, rgt = influxframework.db.get_value("Cost Center", d, ["lft", "rgt"])
			children = influxframework.get_all("Cost Center", filters={"lft": [">=", lft], "rgt": ["<=", rgt]})
			all_cost_centers += [c.name for c in children]
		else:
			influxframework.throw(_("Cost Center: {0} does not exist").format(d))

	return list(set(all_cost_centers))


def get_columns(periodicity, period_list, accumulated_values=1, company=None):
	columns = [
		{
			"fieldname": "account",
			"label": _("Account"),
			"fieldtype": "Link",
			"options": "Account",
			"width": 300,
		}
	]
	if company:
		columns.append(
			{
				"fieldname": "currency",
				"label": _("Currency"),
				"fieldtype": "Link",
				"options": "Currency",
				"hidden": 1,
			}
		)
	for period in period_list:
		columns.append(
			{
				"fieldname": period.key,
				"label": period.label,
				"fieldtype": "Currency",
				"options": "currency",
				"width": 150,
			}
		)
	if periodicity != "Yearly":
		if not accumulated_values:
			columns.append(
				{"fieldname": "total", "label": _("Total"), "fieldtype": "Currency", "width": 150}
			)

	return columns


def get_filtered_list_for_consolidated_report(filters, period_list):
	filtered_summary_list = []
	for period in period_list:
		if period == filters.get("company"):
			filtered_summary_list.append(period)

	return filtered_summary_list
