Files
sure/app/models/income_statement/category_stats.rb
Josh Waldrep 582eda999b Remove exclude_from_cashflow flag and consolidate logic into excluded toggle
- Removed `exclude_from_cashflow` attribute across models, controllers, and views.
- Updated queries to rely solely on the `excluded` flag for filtering transactions and entries.
- Simplified migration by consolidating `exclude_from_cashflow` functionality into the existing `excluded` toggle.
- Refactored related tests to remove outdated logic and ensured compatibility with the updated implementation.
2026-01-12 15:35:38 -05:00

66 lines
2.1 KiB
Ruby

class IncomeStatement::CategoryStats
def initialize(family, interval: "month")
@family = family
@interval = interval
end
def call
ActiveRecord::Base.connection.select_all(sanitized_query_sql).map do |row|
StatRow.new(
category_id: row["category_id"],
classification: row["classification"],
median: row["median"],
avg: row["avg"]
)
end
end
private
StatRow = Data.define(:category_id, :classification, :median, :avg)
def sanitized_query_sql
ActiveRecord::Base.sanitize_sql_array([
query_sql,
{
target_currency: @family.currency,
interval: @interval,
family_id: @family.id
}
])
end
def query_sql
<<~SQL
WITH period_totals AS (
SELECT
c.id as category_id,
date_trunc(:interval, ae.date) as period,
CASE WHEN ae.amount < 0 THEN 'income' ELSE 'expense' END as classification,
SUM(ae.amount * COALESCE(er.rate, 1)) as total
FROM transactions t
JOIN entries ae ON ae.entryable_id = t.id AND ae.entryable_type = 'Transaction'
JOIN accounts a ON a.id = ae.account_id
LEFT JOIN categories c ON c.id = t.category_id
LEFT JOIN exchange_rates er ON (
er.date = ae.date AND
er.from_currency = ae.currency AND
er.to_currency = :target_currency
)
WHERE a.family_id = :family_id
AND t.kind NOT IN ('funds_movement', 'one_time', 'cc_payment', 'investment_contribution')
AND ae.excluded = false
AND (t.extra -> 'simplefin' ->> 'pending')::boolean IS DISTINCT FROM true
AND (t.extra -> 'plaid' ->> 'pending')::boolean IS DISTINCT FROM true
GROUP BY c.id, period, CASE WHEN ae.amount < 0 THEN 'income' ELSE 'expense' END
)
SELECT
category_id,
classification,
ABS(PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY total)) as median,
ABS(AVG(total)) as avg
FROM period_totals
GROUP BY category_id, classification;
SQL
end
end