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f4854423ab
| Author | SHA1 | Date | |
|---|---|---|---|
| f4854423ab | |||
| 0796518e26 | |||
| 7aa494aaad | |||
| 1e0be3f86e | |||
| a068a253cd | |||
| 087ec710f6 | |||
| 957c7b5eb1 | |||
| 8b8845b423 |
1380
docs/inventory-calculation-reference.md
Normal file
1380
docs/inventory-calculation-reference.md
Normal file
File diff suppressed because it is too large
Load Diff
@@ -154,6 +154,24 @@ CREATE TRIGGER update_sales_seasonality_updated
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FOR EACH ROW
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EXECUTE FUNCTION update_updated_at_column();
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-- Create table for financial calculation parameters
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CREATE TABLE financial_calc_config (
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id INTEGER NOT NULL PRIMARY KEY,
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order_cost DECIMAL(10,2) NOT NULL DEFAULT 25.00, -- The fixed cost per purchase order (used in EOQ)
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holding_rate DECIMAL(10,4) NOT NULL DEFAULT 0.25, -- The annual inventory holding cost as a percentage of unit cost (used in EOQ)
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service_level_z_score DECIMAL(10,4) NOT NULL DEFAULT 1.96, -- Z-score for ~95% service level (used in Safety Stock)
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min_reorder_qty INTEGER NOT NULL DEFAULT 1, -- Minimum reorder quantity
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default_reorder_qty INTEGER NOT NULL DEFAULT 5, -- Default reorder quantity when sales data is insufficient
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default_safety_stock INTEGER NOT NULL DEFAULT 5, -- Default safety stock when sales data is insufficient
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created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
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);
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CREATE TRIGGER update_financial_calc_config_updated
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BEFORE UPDATE ON financial_calc_config
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FOR EACH ROW
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EXECUTE FUNCTION update_updated_at_column();
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-- Insert default global thresholds
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INSERT INTO stock_thresholds (id, category_id, vendor, critical_days, reorder_days, overstock_days)
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VALUES (1, NULL, NULL, 7, 14, 90)
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@@ -203,6 +221,17 @@ VALUES
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ON CONFLICT (month) DO UPDATE SET
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last_updated = CURRENT_TIMESTAMP;
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-- Insert default values
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INSERT INTO financial_calc_config (id, order_cost, holding_rate, service_level_z_score, min_reorder_qty, default_reorder_qty, default_safety_stock)
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VALUES (1, 25.00, 0.25, 1.96, 1, 5, 5)
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ON CONFLICT (id) DO UPDATE SET
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order_cost = EXCLUDED.order_cost,
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holding_rate = EXCLUDED.holding_rate,
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service_level_z_score = EXCLUDED.service_level_z_score,
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min_reorder_qty = EXCLUDED.min_reorder_qty,
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default_reorder_qty = EXCLUDED.default_reorder_qty,
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default_safety_stock = EXCLUDED.default_safety_stock;
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-- View to show thresholds with category names
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CREATE OR REPLACE VIEW stock_thresholds_view AS
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SELECT
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@@ -252,7 +281,7 @@ CREATE TABLE IF NOT EXISTS calculate_status (
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);
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CREATE TABLE IF NOT EXISTS sync_status (
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table_name VARCHAR(50) PRIMARY KEY,
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table_name TEXT PRIMARY KEY,
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last_sync_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
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last_sync_id BIGINT
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);
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@@ -11,15 +11,17 @@ CREATE TABLE temp_sales_metrics (
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avg_margin_percent DECIMAL(10,3),
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first_sale_date DATE,
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last_sale_date DATE,
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stddev_daily_sales DECIMAL(10,3),
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PRIMARY KEY (pid)
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);
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CREATE TABLE temp_purchase_metrics (
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pid BIGINT NOT NULL,
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avg_lead_time_days INTEGER,
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avg_lead_time_days DECIMAL(10,2),
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last_purchase_date DATE,
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first_received_date DATE,
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last_received_date DATE,
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stddev_lead_time_days DECIMAL(10,2),
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PRIMARY KEY (pid)
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);
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@@ -50,7 +52,7 @@ CREATE TABLE product_metrics (
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gross_profit DECIMAL(10,3),
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gmroi DECIMAL(10,3),
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-- Purchase metrics
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avg_lead_time_days INTEGER,
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avg_lead_time_days DECIMAL(10,2),
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last_purchase_date DATE,
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first_received_date DATE,
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last_received_date DATE,
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165
inventory-server/db/new-metrics-schema.sql
Normal file
165
inventory-server/db/new-metrics-schema.sql
Normal file
@@ -0,0 +1,165 @@
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-- Drop tables in reverse order of dependency
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DROP TABLE IF EXISTS public.product_metrics CASCADE;
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DROP TABLE IF EXISTS public.daily_product_snapshots CASCADE;
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-- Table Definition: daily_product_snapshots
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CREATE TABLE public.daily_product_snapshots (
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snapshot_date DATE NOT NULL,
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pid INT8 NOT NULL,
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sku VARCHAR, -- Copied for convenience
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-- Inventory Metrics (End of Day / Last Snapshot of Day)
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eod_stock_quantity INT NOT NULL DEFAULT 0,
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eod_stock_cost NUMERIC(14, 4) NOT NULL DEFAULT 0.00, -- Increased precision
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eod_stock_retail NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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eod_stock_gross NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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stockout_flag BOOLEAN NOT NULL DEFAULT FALSE,
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-- Sales Metrics (Aggregated for the snapshot_date)
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units_sold INT NOT NULL DEFAULT 0,
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units_returned INT NOT NULL DEFAULT 0,
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gross_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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discounts NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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returns_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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net_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00, -- gross_revenue - discounts
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cogs NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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gross_regular_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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profit NUMERIC(14, 4) NOT NULL DEFAULT 0.00, -- net_revenue - cogs
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-- Receiving Metrics (Aggregated for the snapshot_date)
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units_received INT NOT NULL DEFAULT 0,
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cost_received NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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calculation_timestamp TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
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PRIMARY KEY (snapshot_date, pid) -- Composite primary key
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-- CONSTRAINT fk_daily_snapshot_pid FOREIGN KEY (pid) REFERENCES public.products(pid) ON DELETE CASCADE ON UPDATE CASCADE -- FK Optional on snapshot table
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);
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-- Add Indexes for daily_product_snapshots
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CREATE INDEX idx_daily_snapshot_pid_date ON public.daily_product_snapshots(pid, snapshot_date); -- Useful for product-specific time series
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-- Table Definition: product_metrics
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CREATE TABLE public.product_metrics (
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pid INT8 PRIMARY KEY,
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last_calculated TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
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-- Product Info (Copied for convenience/performance)
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sku VARCHAR,
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title VARCHAR,
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brand VARCHAR,
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vendor VARCHAR,
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image_url VARCHAR, -- (e.g., products.image_175)
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is_visible BOOLEAN,
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is_replenishable BOOLEAN,
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-- Current Status (Refreshed Hourly)
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current_price NUMERIC(10, 2),
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current_regular_price NUMERIC(10, 2),
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current_cost_price NUMERIC(10, 4), -- Increased precision for cost
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current_landing_cost_price NUMERIC(10, 4), -- Increased precision for cost
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current_stock INT NOT NULL DEFAULT 0,
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current_stock_cost NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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current_stock_retail NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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current_stock_gross NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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on_order_qty INT NOT NULL DEFAULT 0,
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on_order_cost NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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on_order_retail NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
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earliest_expected_date DATE,
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-- total_received_lifetime INT NOT NULL DEFAULT 0, -- Can calc if needed
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-- Historical Dates (Calculated Once/Periodically)
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date_created DATE,
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date_first_received DATE,
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date_last_received DATE,
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date_first_sold DATE,
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date_last_sold DATE,
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age_days INT, -- Calculated based on LEAST(date_created, date_first_sold)
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-- Rolling Period Metrics (Refreshed Hourly from daily_product_snapshots)
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sales_7d INT, revenue_7d NUMERIC(14, 4),
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sales_14d INT, revenue_14d NUMERIC(14, 4),
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sales_30d INT, revenue_30d NUMERIC(14, 4),
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cogs_30d NUMERIC(14, 4), profit_30d NUMERIC(14, 4),
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returns_units_30d INT, returns_revenue_30d NUMERIC(14, 4),
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discounts_30d NUMERIC(14, 4),
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gross_revenue_30d NUMERIC(14, 4), gross_regular_revenue_30d NUMERIC(14, 4),
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stockout_days_30d INT,
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sales_365d INT, revenue_365d NUMERIC(14, 4),
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avg_stock_units_30d NUMERIC(10, 2), avg_stock_cost_30d NUMERIC(14, 4),
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avg_stock_retail_30d NUMERIC(14, 4), avg_stock_gross_30d NUMERIC(14, 4),
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received_qty_30d INT, received_cost_30d NUMERIC(14, 4),
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-- Lifetime Metrics (Recalculated Hourly/Daily from daily_product_snapshots)
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lifetime_sales INT,
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lifetime_revenue NUMERIC(16, 4),
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-- First Period Metrics (Calculated Once/Periodically from daily_product_snapshots)
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first_7_days_sales INT, first_7_days_revenue NUMERIC(14, 4),
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first_30_days_sales INT, first_30_days_revenue NUMERIC(14, 4),
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first_60_days_sales INT, first_60_days_revenue NUMERIC(14, 4),
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first_90_days_sales INT, first_90_days_revenue NUMERIC(14, 4),
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-- Calculated KPIs (Refreshed Hourly based on rolling metrics)
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asp_30d NUMERIC(10, 2), -- revenue_30d / sales_30d
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acp_30d NUMERIC(10, 4), -- cogs_30d / sales_30d
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avg_ros_30d NUMERIC(10, 4), -- profit_30d / sales_30d
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avg_sales_per_day_30d NUMERIC(10, 2), -- sales_30d / 30.0
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avg_sales_per_month_30d NUMERIC(10, 2), -- sales_30d (assuming 30d = 1 month for this metric)
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margin_30d NUMERIC(5, 2), -- (profit_30d / revenue_30d) * 100
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markup_30d NUMERIC(5, 2), -- (profit_30d / cogs_30d) * 100
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gmroi_30d NUMERIC(10, 2), -- profit_30d / avg_stock_cost_30d
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stockturn_30d NUMERIC(10, 2), -- sales_30d / avg_stock_units_30d
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return_rate_30d NUMERIC(5, 2), -- returns_units_30d / (sales_30d + returns_units_30d) * 100
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discount_rate_30d NUMERIC(5, 2), -- discounts_30d / gross_revenue_30d * 100
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stockout_rate_30d NUMERIC(5, 2), -- stockout_days_30d / 30.0 * 100
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markdown_30d NUMERIC(14, 4), -- gross_regular_revenue_30d - gross_revenue_30d
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markdown_rate_30d NUMERIC(5, 2), -- markdown_30d / gross_regular_revenue_30d * 100
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sell_through_30d NUMERIC(5, 2), -- sales_30d / (current_stock + sales_30d) * 100
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avg_lead_time_days INT, -- Calculated Periodically from purchase_orders
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-- Forecasting & Replenishment (Refreshed Hourly)
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abc_class CHAR(1), -- Updated Periodically (e.g., Weekly)
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sales_velocity_daily NUMERIC(10, 4), -- sales_30d / (30.0 - stockout_days_30d)
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config_lead_time INT, -- From settings tables
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config_days_of_stock INT, -- From settings tables
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config_safety_stock INT, -- From settings_product
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planning_period_days INT, -- config_lead_time + config_days_of_stock
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lead_time_forecast_units NUMERIC(10, 2), -- sales_velocity_daily * config_lead_time
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days_of_stock_forecast_units NUMERIC(10, 2), -- sales_velocity_daily * config_days_of_stock
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planning_period_forecast_units NUMERIC(10, 2), -- lead_time_forecast_units + days_of_stock_forecast_units
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lead_time_closing_stock NUMERIC(10, 2), -- current_stock + on_order_qty - lead_time_forecast_units
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days_of_stock_closing_stock NUMERIC(10, 2), -- lead_time_closing_stock - days_of_stock_forecast_units
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replenishment_needed_raw NUMERIC(10, 2), -- planning_period_forecast_units + config_safety_stock - current_stock - on_order_qty
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replenishment_units INT, -- CEILING(GREATEST(0, replenishment_needed_raw))
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replenishment_cost NUMERIC(14, 4), -- replenishment_units * COALESCE(current_landing_cost_price, current_cost_price)
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replenishment_retail NUMERIC(14, 4), -- replenishment_units * current_price
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replenishment_profit NUMERIC(14, 4), -- replenishment_units * (current_price - COALESCE(current_landing_cost_price, current_cost_price))
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to_order_units INT, -- Apply MOQ/UOM logic to replenishment_units
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forecast_lost_sales_units NUMERIC(10, 2), -- GREATEST(0, -lead_time_closing_stock)
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forecast_lost_revenue NUMERIC(14, 4), -- forecast_lost_sales_units * current_price
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stock_cover_in_days NUMERIC(10, 1), -- current_stock / sales_velocity_daily
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po_cover_in_days NUMERIC(10, 1), -- on_order_qty / sales_velocity_daily
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sells_out_in_days NUMERIC(10, 1), -- (current_stock + on_order_qty) / sales_velocity_daily
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replenish_date DATE, -- Calc based on when stock hits safety stock minus lead time
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overstocked_units INT, -- GREATEST(0, current_stock - config_safety_stock - planning_period_forecast_units)
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overstocked_cost NUMERIC(14, 4), -- overstocked_units * COALESCE(current_landing_cost_price, current_cost_price)
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overstocked_retail NUMERIC(14, 4), -- overstocked_units * current_price
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is_old_stock BOOLEAN, -- Based on age, last sold, last received, on_order status
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-- Yesterday's Metrics (Refreshed Hourly from daily_product_snapshots)
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yesterday_sales INT,
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CONSTRAINT fk_product_metrics_pid FOREIGN KEY (pid) REFERENCES public.products(pid) ON DELETE CASCADE ON UPDATE CASCADE
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);
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-- Add Indexes for product_metrics (adjust based on common filtering/sorting in frontend)
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CREATE INDEX idx_product_metrics_brand ON public.product_metrics(brand);
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CREATE INDEX idx_product_metrics_vendor ON public.product_metrics(vendor);
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CREATE INDEX idx_product_metrics_sku ON public.product_metrics(sku);
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CREATE INDEX idx_product_metrics_abc_class ON public.product_metrics(abc_class);
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CREATE INDEX idx_product_metrics_revenue_30d ON public.product_metrics(revenue_30d DESC NULLS LAST); -- Example sorting index
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CREATE INDEX idx_product_metrics_sales_30d ON public.product_metrics(sales_30d DESC NULLS LAST); -- Example sorting index
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CREATE INDEX idx_product_metrics_current_stock ON public.product_metrics(current_stock);
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CREATE INDEX idx_product_metrics_sells_out_in_days ON public.product_metrics(sells_out_in_days ASC NULLS LAST); -- Example sorting index
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@@ -7,7 +7,7 @@ BEGIN
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-- Check which table is being updated and use the appropriate column
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IF TG_TABLE_NAME = 'categories' THEN
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NEW.updated_at = CURRENT_TIMESTAMP;
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ELSE
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ELSIF TG_TABLE_NAME IN ('products', 'orders', 'purchase_orders') THEN
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NEW.updated = CURRENT_TIMESTAMP;
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END IF;
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RETURN NEW;
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@@ -17,48 +17,48 @@ $func$ language plpgsql;
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-- Create tables
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CREATE TABLE products (
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pid BIGINT NOT NULL,
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title VARCHAR(255) NOT NULL,
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title TEXT NOT NULL,
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description TEXT,
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SKU VARCHAR(50) NOT NULL,
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sku TEXT NOT NULL,
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created_at TIMESTAMP WITH TIME ZONE,
|
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first_received TIMESTAMP WITH TIME ZONE,
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stock_quantity INTEGER DEFAULT 0,
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preorder_count INTEGER DEFAULT 0,
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notions_inv_count INTEGER DEFAULT 0,
|
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price DECIMAL(10, 3) NOT NULL,
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regular_price DECIMAL(10, 3) NOT NULL,
|
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cost_price DECIMAL(10, 3),
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landing_cost_price DECIMAL(10, 3),
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barcode VARCHAR(50),
|
||||
harmonized_tariff_code VARCHAR(20),
|
||||
price NUMERIC(14, 4) NOT NULL,
|
||||
regular_price NUMERIC(14, 4) NOT NULL,
|
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cost_price NUMERIC(14, 4),
|
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landing_cost_price NUMERIC(14, 4),
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barcode TEXT,
|
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harmonized_tariff_code TEXT,
|
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updated_at TIMESTAMP WITH TIME ZONE,
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visible BOOLEAN DEFAULT true,
|
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managing_stock BOOLEAN DEFAULT true,
|
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replenishable BOOLEAN DEFAULT true,
|
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vendor VARCHAR(100),
|
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vendor_reference VARCHAR(100),
|
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notions_reference VARCHAR(100),
|
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permalink VARCHAR(255),
|
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vendor TEXT,
|
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vendor_reference TEXT,
|
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notions_reference TEXT,
|
||||
permalink TEXT,
|
||||
categories TEXT,
|
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image VARCHAR(255),
|
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image_175 VARCHAR(255),
|
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image_full VARCHAR(255),
|
||||
brand VARCHAR(100),
|
||||
line VARCHAR(100),
|
||||
subline VARCHAR(100),
|
||||
artist VARCHAR(100),
|
||||
image TEXT,
|
||||
image_175 TEXT,
|
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image_full TEXT,
|
||||
brand TEXT,
|
||||
line TEXT,
|
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subline TEXT,
|
||||
artist TEXT,
|
||||
options TEXT,
|
||||
tags TEXT,
|
||||
moq INTEGER DEFAULT 1,
|
||||
uom INTEGER DEFAULT 1,
|
||||
rating DECIMAL(10,2) DEFAULT 0.00,
|
||||
rating NUMERIC(14, 4) DEFAULT 0.00,
|
||||
reviews INTEGER DEFAULT 0,
|
||||
weight DECIMAL(10,3),
|
||||
length DECIMAL(10,3),
|
||||
width DECIMAL(10,3),
|
||||
height DECIMAL(10,3),
|
||||
country_of_origin VARCHAR(5),
|
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location VARCHAR(50),
|
||||
weight NUMERIC(14, 4),
|
||||
length NUMERIC(14, 4),
|
||||
width NUMERIC(14, 4),
|
||||
height NUMERIC(14, 4),
|
||||
country_of_origin TEXT,
|
||||
location TEXT,
|
||||
total_sold INTEGER DEFAULT 0,
|
||||
baskets INTEGER DEFAULT 0,
|
||||
notifies INTEGER DEFAULT 0,
|
||||
@@ -74,25 +74,25 @@ CREATE TRIGGER update_products_updated
|
||||
EXECUTE FUNCTION update_updated_column();
|
||||
|
||||
-- Create indexes for products table
|
||||
CREATE INDEX idx_products_sku ON products(SKU);
|
||||
CREATE INDEX idx_products_sku ON products(sku);
|
||||
CREATE INDEX idx_products_vendor ON products(vendor);
|
||||
CREATE INDEX idx_products_brand ON products(brand);
|
||||
CREATE INDEX idx_products_location ON products(location);
|
||||
CREATE INDEX idx_products_total_sold ON products(total_sold);
|
||||
CREATE INDEX idx_products_date_last_sold ON products(date_last_sold);
|
||||
CREATE INDEX idx_products_visible ON products(visible);
|
||||
CREATE INDEX idx_products_replenishable ON products(replenishable);
|
||||
CREATE INDEX idx_products_updated ON products(updated);
|
||||
|
||||
-- Create categories table with hierarchy support
|
||||
CREATE TABLE categories (
|
||||
cat_id BIGINT PRIMARY KEY,
|
||||
name VARCHAR(100) NOT NULL,
|
||||
name TEXT NOT NULL,
|
||||
type SMALLINT NOT NULL,
|
||||
parent_id BIGINT,
|
||||
description TEXT,
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
|
||||
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
|
||||
status VARCHAR(20) DEFAULT 'active',
|
||||
FOREIGN KEY (parent_id) REFERENCES categories(cat_id)
|
||||
updated TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
|
||||
status TEXT DEFAULT 'active',
|
||||
FOREIGN KEY (parent_id) REFERENCES categories(cat_id) ON DELETE SET NULL
|
||||
);
|
||||
|
||||
-- Create trigger for categories
|
||||
@@ -106,6 +106,7 @@ COMMENT ON COLUMN categories.type IS '10=section, 11=category, 12=subcategory, 1
|
||||
CREATE INDEX idx_categories_parent ON categories(parent_id);
|
||||
CREATE INDEX idx_categories_type ON categories(type);
|
||||
CREATE INDEX idx_categories_status ON categories(status);
|
||||
CREATE INDEX idx_categories_name ON categories(name);
|
||||
CREATE INDEX idx_categories_name_type ON categories(name, type);
|
||||
|
||||
-- Create product_categories junction table
|
||||
@@ -118,28 +119,28 @@ CREATE TABLE product_categories (
|
||||
);
|
||||
|
||||
CREATE INDEX idx_product_categories_category ON product_categories(cat_id);
|
||||
CREATE INDEX idx_product_categories_product ON product_categories(pid);
|
||||
|
||||
-- Create orders table with its indexes
|
||||
CREATE TABLE orders (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
order_number VARCHAR(50) NOT NULL,
|
||||
order_number TEXT NOT NULL,
|
||||
pid BIGINT NOT NULL,
|
||||
SKU VARCHAR(50) NOT NULL,
|
||||
date DATE NOT NULL,
|
||||
price DECIMAL(10,3) NOT NULL,
|
||||
sku TEXT NOT NULL,
|
||||
date TIMESTAMP WITH TIME ZONE NOT NULL,
|
||||
price NUMERIC(14, 4) NOT NULL,
|
||||
quantity INTEGER NOT NULL,
|
||||
discount DECIMAL(10,3) DEFAULT 0.000,
|
||||
tax DECIMAL(10,3) DEFAULT 0.000,
|
||||
discount NUMERIC(14, 4) DEFAULT 0.0000,
|
||||
tax NUMERIC(14, 4) DEFAULT 0.0000,
|
||||
tax_included BOOLEAN DEFAULT false,
|
||||
shipping DECIMAL(10,3) DEFAULT 0.000,
|
||||
costeach DECIMAL(10,3) DEFAULT 0.000,
|
||||
customer VARCHAR(50) NOT NULL,
|
||||
customer_name VARCHAR(100),
|
||||
status VARCHAR(20) DEFAULT 'pending',
|
||||
shipping NUMERIC(14, 4) DEFAULT 0.0000,
|
||||
costeach NUMERIC(14, 4) DEFAULT 0.0000,
|
||||
customer TEXT NOT NULL,
|
||||
customer_name TEXT,
|
||||
status TEXT DEFAULT 'pending',
|
||||
canceled BOOLEAN DEFAULT false,
|
||||
updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
UNIQUE (order_number, pid)
|
||||
UNIQUE (order_number, pid),
|
||||
FOREIGN KEY (pid) REFERENCES products(pid) ON DELETE RESTRICT
|
||||
);
|
||||
|
||||
-- Create trigger for orders
|
||||
@@ -150,36 +151,37 @@ CREATE TRIGGER update_orders_updated
|
||||
|
||||
CREATE INDEX idx_orders_number ON orders(order_number);
|
||||
CREATE INDEX idx_orders_pid ON orders(pid);
|
||||
CREATE INDEX idx_orders_sku ON orders(sku);
|
||||
CREATE INDEX idx_orders_customer ON orders(customer);
|
||||
CREATE INDEX idx_orders_date ON orders(date);
|
||||
CREATE INDEX idx_orders_status ON orders(status);
|
||||
CREATE INDEX idx_orders_metrics ON orders(pid, date, canceled);
|
||||
CREATE INDEX idx_orders_pid_date ON orders(pid, date);
|
||||
CREATE INDEX idx_orders_updated ON orders(updated);
|
||||
|
||||
-- Create purchase_orders table with its indexes
|
||||
CREATE TABLE purchase_orders (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
po_id VARCHAR(50) NOT NULL,
|
||||
vendor VARCHAR(100) NOT NULL,
|
||||
po_id TEXT NOT NULL,
|
||||
vendor TEXT NOT NULL,
|
||||
date DATE NOT NULL,
|
||||
expected_date DATE,
|
||||
pid BIGINT NOT NULL,
|
||||
sku VARCHAR(50) NOT NULL,
|
||||
name VARCHAR(255) NOT NULL,
|
||||
cost_price DECIMAL(10, 3) NOT NULL,
|
||||
po_cost_price DECIMAL(10, 3) NOT NULL,
|
||||
status SMALLINT DEFAULT 1,
|
||||
receiving_status SMALLINT DEFAULT 1,
|
||||
sku TEXT NOT NULL,
|
||||
name TEXT NOT NULL,
|
||||
cost_price NUMERIC(14, 4) NOT NULL,
|
||||
po_cost_price NUMERIC(14, 4) NOT NULL,
|
||||
status TEXT DEFAULT 'created',
|
||||
receiving_status TEXT DEFAULT 'created',
|
||||
notes TEXT,
|
||||
long_note TEXT,
|
||||
ordered INTEGER NOT NULL,
|
||||
received INTEGER DEFAULT 0,
|
||||
received_date DATE,
|
||||
last_received_date DATE,
|
||||
received_by VARCHAR,
|
||||
received_by TEXT,
|
||||
receiving_history JSONB,
|
||||
updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
FOREIGN KEY (pid) REFERENCES products(pid),
|
||||
FOREIGN KEY (pid) REFERENCES products(pid) ON DELETE CASCADE,
|
||||
UNIQUE (po_id, pid)
|
||||
);
|
||||
|
||||
@@ -191,18 +193,19 @@ CREATE TRIGGER update_purchase_orders_updated
|
||||
|
||||
COMMENT ON COLUMN purchase_orders.name IS 'Product name from products.description';
|
||||
COMMENT ON COLUMN purchase_orders.po_cost_price IS 'Original cost from PO, before receiving adjustments';
|
||||
COMMENT ON COLUMN purchase_orders.status IS '0=canceled,1=created,10=electronically_ready_send,11=ordered,12=preordered,13=electronically_sent,15=receiving_started,50=done';
|
||||
COMMENT ON COLUMN purchase_orders.receiving_status IS '0=canceled,1=created,30=partial_received,40=full_received,50=paid';
|
||||
COMMENT ON COLUMN purchase_orders.status IS 'canceled, created, electronically_ready_send, ordered, preordered, electronically_sent, receiving_started, done';
|
||||
COMMENT ON COLUMN purchase_orders.receiving_status IS 'canceled, created, partial_received, full_received, paid';
|
||||
COMMENT ON COLUMN purchase_orders.receiving_history IS 'Array of receiving records with qty, date, cost, receiving_id, and alt_po flag';
|
||||
|
||||
CREATE INDEX idx_po_id ON purchase_orders(po_id);
|
||||
CREATE INDEX idx_po_sku ON purchase_orders(sku);
|
||||
CREATE INDEX idx_po_vendor ON purchase_orders(vendor);
|
||||
CREATE INDEX idx_po_status ON purchase_orders(status);
|
||||
CREATE INDEX idx_po_receiving_status ON purchase_orders(receiving_status);
|
||||
CREATE INDEX idx_po_metrics ON purchase_orders(pid, date, status, ordered, received);
|
||||
CREATE INDEX idx_po_metrics_receiving ON purchase_orders(pid, date, receiving_status, received_date);
|
||||
CREATE INDEX idx_po_product_date ON purchase_orders(pid, date);
|
||||
CREATE INDEX idx_po_product_status ON purchase_orders(pid, status);
|
||||
CREATE INDEX idx_po_expected_date ON purchase_orders(expected_date);
|
||||
CREATE INDEX idx_po_last_received_date ON purchase_orders(last_received_date);
|
||||
CREATE INDEX idx_po_pid_status ON purchase_orders(pid, status);
|
||||
CREATE INDEX idx_po_pid_date ON purchase_orders(pid, date);
|
||||
CREATE INDEX idx_po_updated ON purchase_orders(updated);
|
||||
|
||||
SET session_replication_role = 'origin'; -- Re-enable foreign key checks
|
||||
|
||||
@@ -57,25 +57,16 @@ const TEMP_TABLES = [
|
||||
'temp_daily_sales',
|
||||
'temp_product_stats',
|
||||
'temp_category_sales',
|
||||
'temp_category_stats'
|
||||
'temp_category_stats',
|
||||
'temp_beginning_inventory',
|
||||
'temp_monthly_inventory'
|
||||
];
|
||||
|
||||
// Add cleanup function for temporary tables
|
||||
async function cleanupTemporaryTables(connection) {
|
||||
// List of possible temporary tables that might exist
|
||||
const tempTables = [
|
||||
'temp_sales_metrics',
|
||||
'temp_purchase_metrics',
|
||||
'temp_forecast_dates',
|
||||
'temp_daily_sales',
|
||||
'temp_product_stats',
|
||||
'temp_category_sales',
|
||||
'temp_category_stats'
|
||||
];
|
||||
|
||||
try {
|
||||
// Drop each temporary table if it exists
|
||||
for (const table of tempTables) {
|
||||
for (const table of TEMP_TABLES) {
|
||||
await connection.query(`DROP TABLE IF EXISTS ${table}`);
|
||||
}
|
||||
} catch (err) {
|
||||
@@ -534,7 +525,7 @@ async function calculateMetrics() {
|
||||
await connection.query(`
|
||||
UPDATE calculate_history
|
||||
SET
|
||||
status = 'error',
|
||||
status = 'failed',
|
||||
end_time = NOW(),
|
||||
duration_seconds = EXTRACT(EPOCH FROM (NOW() - start_time))::INTEGER,
|
||||
error_message = $1
|
||||
|
||||
@@ -111,8 +111,8 @@ async function main() {
|
||||
// Initialize sync_status table if it doesn't exist
|
||||
await localConnection.query(`
|
||||
CREATE TABLE IF NOT EXISTS sync_status (
|
||||
table_name VARCHAR(50) PRIMARY KEY,
|
||||
last_sync_timestamp TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
table_name TEXT PRIMARY KEY,
|
||||
last_sync_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
last_sync_id BIGINT
|
||||
);
|
||||
|
||||
@@ -169,8 +169,8 @@ async function main() {
|
||||
if (isImportCancelled) throw new Error("Import cancelled");
|
||||
completedSteps++;
|
||||
console.log('Categories import result:', results.categories);
|
||||
totalRecordsAdded += parseInt(results.categories?.recordsAdded || 0) || 0;
|
||||
totalRecordsUpdated += parseInt(results.categories?.recordsUpdated || 0) || 0;
|
||||
totalRecordsAdded += parseInt(results.categories?.recordsAdded || 0);
|
||||
totalRecordsUpdated += parseInt(results.categories?.recordsUpdated || 0);
|
||||
}
|
||||
|
||||
if (IMPORT_PRODUCTS) {
|
||||
@@ -178,8 +178,8 @@ async function main() {
|
||||
if (isImportCancelled) throw new Error("Import cancelled");
|
||||
completedSteps++;
|
||||
console.log('Products import result:', results.products);
|
||||
totalRecordsAdded += parseInt(results.products?.recordsAdded || 0) || 0;
|
||||
totalRecordsUpdated += parseInt(results.products?.recordsUpdated || 0) || 0;
|
||||
totalRecordsAdded += parseInt(results.products?.recordsAdded || 0);
|
||||
totalRecordsUpdated += parseInt(results.products?.recordsUpdated || 0);
|
||||
}
|
||||
|
||||
if (IMPORT_ORDERS) {
|
||||
@@ -187,8 +187,8 @@ async function main() {
|
||||
if (isImportCancelled) throw new Error("Import cancelled");
|
||||
completedSteps++;
|
||||
console.log('Orders import result:', results.orders);
|
||||
totalRecordsAdded += parseInt(results.orders?.recordsAdded || 0) || 0;
|
||||
totalRecordsUpdated += parseInt(results.orders?.recordsUpdated || 0) || 0;
|
||||
totalRecordsAdded += parseInt(results.orders?.recordsAdded || 0);
|
||||
totalRecordsUpdated += parseInt(results.orders?.recordsUpdated || 0);
|
||||
}
|
||||
|
||||
if (IMPORT_PURCHASE_ORDERS) {
|
||||
@@ -202,8 +202,8 @@ async function main() {
|
||||
if (results.purchaseOrders?.status === 'error') {
|
||||
console.error('Purchase orders import had an error:', results.purchaseOrders.error);
|
||||
} else {
|
||||
totalRecordsAdded += parseInt(results.purchaseOrders?.recordsAdded || 0) || 0;
|
||||
totalRecordsUpdated += parseInt(results.purchaseOrders?.recordsUpdated || 0) || 0;
|
||||
totalRecordsAdded += parseInt(results.purchaseOrders?.recordsAdded || 0);
|
||||
totalRecordsUpdated += parseInt(results.purchaseOrders?.recordsUpdated || 0);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Error during purchase orders import:', error);
|
||||
@@ -242,8 +242,8 @@ async function main() {
|
||||
WHERE id = $12
|
||||
`, [
|
||||
totalElapsedSeconds,
|
||||
parseInt(totalRecordsAdded) || 0,
|
||||
parseInt(totalRecordsUpdated) || 0,
|
||||
parseInt(totalRecordsAdded),
|
||||
parseInt(totalRecordsUpdated),
|
||||
IMPORT_CATEGORIES,
|
||||
IMPORT_PRODUCTS,
|
||||
IMPORT_ORDERS,
|
||||
|
||||
@@ -16,6 +16,9 @@ async function importCategories(prodConnection, localConnection) {
|
||||
// Start a single transaction for the entire import
|
||||
await localConnection.query('BEGIN');
|
||||
|
||||
// Temporarily disable the trigger that's causing problems
|
||||
await localConnection.query('ALTER TABLE categories DISABLE TRIGGER update_categories_updated_at');
|
||||
|
||||
// Process each type in order with its own savepoint
|
||||
for (const type of typeOrder) {
|
||||
try {
|
||||
@@ -150,6 +153,9 @@ async function importCategories(prodConnection, localConnection) {
|
||||
last_sync_timestamp = NOW()
|
||||
`);
|
||||
|
||||
// Re-enable the trigger
|
||||
await localConnection.query('ALTER TABLE categories ENABLE TRIGGER update_categories_updated_at');
|
||||
|
||||
outputProgress({
|
||||
status: "complete",
|
||||
operation: "Categories import completed",
|
||||
@@ -178,6 +184,9 @@ async function importCategories(prodConnection, localConnection) {
|
||||
// Only rollback if we haven't committed yet
|
||||
try {
|
||||
await localConnection.query('ROLLBACK');
|
||||
|
||||
// Make sure we re-enable the trigger even if there was an error
|
||||
await localConnection.query('ALTER TABLE categories ENABLE TRIGGER update_categories_updated_at');
|
||||
} catch (rollbackError) {
|
||||
console.error("Error during rollback:", rollbackError);
|
||||
}
|
||||
|
||||
@@ -117,43 +117,43 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
|
||||
CREATE TEMP TABLE temp_order_items (
|
||||
order_id INTEGER NOT NULL,
|
||||
pid INTEGER NOT NULL,
|
||||
SKU VARCHAR(50) NOT NULL,
|
||||
price DECIMAL(10,2) NOT NULL,
|
||||
sku TEXT NOT NULL,
|
||||
price NUMERIC(14, 4) NOT NULL,
|
||||
quantity INTEGER NOT NULL,
|
||||
base_discount DECIMAL(10,2) DEFAULT 0,
|
||||
base_discount NUMERIC(14, 4) DEFAULT 0,
|
||||
PRIMARY KEY (order_id, pid)
|
||||
);
|
||||
|
||||
CREATE TEMP TABLE temp_order_meta (
|
||||
order_id INTEGER NOT NULL,
|
||||
date DATE NOT NULL,
|
||||
customer VARCHAR(100) NOT NULL,
|
||||
customer_name VARCHAR(150) NOT NULL,
|
||||
status INTEGER,
|
||||
date TIMESTAMP WITH TIME ZONE NOT NULL,
|
||||
customer TEXT NOT NULL,
|
||||
customer_name TEXT NOT NULL,
|
||||
status TEXT,
|
||||
canceled BOOLEAN,
|
||||
summary_discount DECIMAL(10,2) DEFAULT 0.00,
|
||||
summary_subtotal DECIMAL(10,2) DEFAULT 0.00,
|
||||
summary_discount NUMERIC(14, 4) DEFAULT 0.0000,
|
||||
summary_subtotal NUMERIC(14, 4) DEFAULT 0.0000,
|
||||
PRIMARY KEY (order_id)
|
||||
);
|
||||
|
||||
CREATE TEMP TABLE temp_order_discounts (
|
||||
order_id INTEGER NOT NULL,
|
||||
pid INTEGER NOT NULL,
|
||||
discount DECIMAL(10,2) NOT NULL,
|
||||
discount NUMERIC(14, 4) NOT NULL,
|
||||
PRIMARY KEY (order_id, pid)
|
||||
);
|
||||
|
||||
CREATE TEMP TABLE temp_order_taxes (
|
||||
order_id INTEGER NOT NULL,
|
||||
pid INTEGER NOT NULL,
|
||||
tax DECIMAL(10,2) NOT NULL,
|
||||
tax NUMERIC(14, 4) NOT NULL,
|
||||
PRIMARY KEY (order_id, pid)
|
||||
);
|
||||
|
||||
CREATE TEMP TABLE temp_order_costs (
|
||||
order_id INTEGER NOT NULL,
|
||||
pid INTEGER NOT NULL,
|
||||
costeach DECIMAL(10,3) DEFAULT 0.000,
|
||||
costeach NUMERIC(14, 4) DEFAULT 0.0000,
|
||||
PRIMARY KEY (order_id, pid)
|
||||
);
|
||||
|
||||
@@ -172,10 +172,10 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
|
||||
]);
|
||||
|
||||
await localConnection.query(`
|
||||
INSERT INTO temp_order_items (order_id, pid, SKU, price, quantity, base_discount)
|
||||
INSERT INTO temp_order_items (order_id, pid, sku, price, quantity, base_discount)
|
||||
VALUES ${placeholders}
|
||||
ON CONFLICT (order_id, pid) DO UPDATE SET
|
||||
SKU = EXCLUDED.SKU,
|
||||
sku = EXCLUDED.sku,
|
||||
price = EXCLUDED.price,
|
||||
quantity = EXCLUDED.quantity,
|
||||
base_discount = EXCLUDED.base_discount
|
||||
@@ -241,10 +241,10 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
|
||||
|
||||
const values = subBatch.flatMap(order => [
|
||||
order.order_id,
|
||||
order.date,
|
||||
new Date(order.date), // Convert to TIMESTAMP WITH TIME ZONE
|
||||
order.customer,
|
||||
toTitleCase(order.customer_name) || '',
|
||||
order.status,
|
||||
order.status.toString(), // Convert status to TEXT
|
||||
order.canceled,
|
||||
order.summary_discount || 0,
|
||||
order.summary_subtotal || 0
|
||||
@@ -447,7 +447,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
|
||||
SELECT
|
||||
oi.order_id as order_number,
|
||||
oi.pid::bigint as pid,
|
||||
oi.SKU as sku,
|
||||
oi.sku,
|
||||
om.date,
|
||||
oi.price,
|
||||
oi.quantity,
|
||||
@@ -457,18 +457,18 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
|
||||
WHEN om.summary_discount > 0 AND om.summary_subtotal > 0 THEN
|
||||
ROUND((om.summary_discount * (oi.price * oi.quantity)) / NULLIF(om.summary_subtotal, 0), 2)
|
||||
ELSE 0
|
||||
END)::DECIMAL(10,2) as discount,
|
||||
COALESCE(ot.total_tax, 0)::DECIMAL(10,2) as tax,
|
||||
END)::NUMERIC(14, 4) as discount,
|
||||
COALESCE(ot.total_tax, 0)::NUMERIC(14, 4) as tax,
|
||||
false as tax_included,
|
||||
0 as shipping,
|
||||
om.customer,
|
||||
om.customer_name,
|
||||
om.status,
|
||||
om.canceled,
|
||||
COALESCE(ot.costeach, oi.price * 0.5)::DECIMAL(10,3) as costeach
|
||||
COALESCE(ot.costeach, oi.price * 0.5)::NUMERIC(14, 4) as costeach
|
||||
FROM (
|
||||
SELECT DISTINCT ON (order_id, pid)
|
||||
order_id, pid, SKU, price, quantity, base_discount
|
||||
order_id, pid, sku, price, quantity, base_discount
|
||||
FROM temp_order_items
|
||||
WHERE order_id = ANY($1)
|
||||
ORDER BY order_id, pid
|
||||
@@ -508,7 +508,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
|
||||
o.order_number,
|
||||
o.pid,
|
||||
o.sku || 'NO-SKU',
|
||||
o.date,
|
||||
o.date, // This is now a TIMESTAMP WITH TIME ZONE
|
||||
o.price,
|
||||
o.quantity,
|
||||
o.discount,
|
||||
@@ -517,7 +517,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
|
||||
o.shipping,
|
||||
o.customer,
|
||||
o.customer_name,
|
||||
o.status,
|
||||
o.status.toString(), // Convert status to TEXT
|
||||
o.canceled,
|
||||
o.costeach
|
||||
]);
|
||||
|
||||
@@ -57,50 +57,50 @@ async function setupTemporaryTables(connection) {
|
||||
await connection.query(`
|
||||
CREATE TEMP TABLE temp_products (
|
||||
pid BIGINT NOT NULL,
|
||||
title VARCHAR(255),
|
||||
title TEXT,
|
||||
description TEXT,
|
||||
sku VARCHAR(50),
|
||||
sku TEXT,
|
||||
stock_quantity INTEGER DEFAULT 0,
|
||||
preorder_count INTEGER DEFAULT 0,
|
||||
notions_inv_count INTEGER DEFAULT 0,
|
||||
price DECIMAL(10,3) NOT NULL DEFAULT 0,
|
||||
regular_price DECIMAL(10,3) NOT NULL DEFAULT 0,
|
||||
cost_price DECIMAL(10,3),
|
||||
vendor VARCHAR(100),
|
||||
vendor_reference VARCHAR(100),
|
||||
notions_reference VARCHAR(100),
|
||||
brand VARCHAR(100),
|
||||
line VARCHAR(100),
|
||||
subline VARCHAR(100),
|
||||
artist VARCHAR(100),
|
||||
price NUMERIC(14, 4) NOT NULL DEFAULT 0,
|
||||
regular_price NUMERIC(14, 4) NOT NULL DEFAULT 0,
|
||||
cost_price NUMERIC(14, 4),
|
||||
vendor TEXT,
|
||||
vendor_reference TEXT,
|
||||
notions_reference TEXT,
|
||||
brand TEXT,
|
||||
line TEXT,
|
||||
subline TEXT,
|
||||
artist TEXT,
|
||||
categories TEXT,
|
||||
created_at TIMESTAMP,
|
||||
first_received TIMESTAMP,
|
||||
landing_cost_price DECIMAL(10,3),
|
||||
barcode VARCHAR(50),
|
||||
harmonized_tariff_code VARCHAR(50),
|
||||
updated_at TIMESTAMP,
|
||||
created_at TIMESTAMP WITH TIME ZONE,
|
||||
first_received TIMESTAMP WITH TIME ZONE,
|
||||
landing_cost_price NUMERIC(14, 4),
|
||||
barcode TEXT,
|
||||
harmonized_tariff_code TEXT,
|
||||
updated_at TIMESTAMP WITH TIME ZONE,
|
||||
visible BOOLEAN,
|
||||
managing_stock BOOLEAN DEFAULT true,
|
||||
replenishable BOOLEAN,
|
||||
permalink VARCHAR(255),
|
||||
permalink TEXT,
|
||||
moq INTEGER DEFAULT 1,
|
||||
uom INTEGER DEFAULT 1,
|
||||
rating DECIMAL(10,2),
|
||||
rating NUMERIC(14, 4),
|
||||
reviews INTEGER,
|
||||
weight DECIMAL(10,3),
|
||||
length DECIMAL(10,3),
|
||||
width DECIMAL(10,3),
|
||||
height DECIMAL(10,3),
|
||||
country_of_origin VARCHAR(100),
|
||||
location VARCHAR(100),
|
||||
weight NUMERIC(14, 4),
|
||||
length NUMERIC(14, 4),
|
||||
width NUMERIC(14, 4),
|
||||
height NUMERIC(14, 4),
|
||||
country_of_origin TEXT,
|
||||
location TEXT,
|
||||
total_sold INTEGER,
|
||||
baskets INTEGER,
|
||||
notifies INTEGER,
|
||||
date_last_sold TIMESTAMP,
|
||||
image VARCHAR(255),
|
||||
image_175 VARCHAR(255),
|
||||
image_full VARCHAR(255),
|
||||
date_last_sold TIMESTAMP WITH TIME ZONE,
|
||||
image TEXT,
|
||||
image_175 TEXT,
|
||||
image_full TEXT,
|
||||
options TEXT,
|
||||
tags TEXT,
|
||||
needs_update BOOLEAN DEFAULT TRUE,
|
||||
|
||||
@@ -73,19 +73,18 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
|
||||
-- Temporary table for purchase orders
|
||||
CREATE TEMP TABLE temp_purchase_orders (
|
||||
po_id VARCHAR(50) NOT NULL,
|
||||
po_id TEXT NOT NULL,
|
||||
pid BIGINT NOT NULL,
|
||||
sku VARCHAR(50),
|
||||
name VARCHAR(255),
|
||||
vendor VARCHAR(255),
|
||||
sku TEXT,
|
||||
name TEXT,
|
||||
vendor TEXT,
|
||||
date TIMESTAMP WITH TIME ZONE,
|
||||
expected_date DATE,
|
||||
status INTEGER,
|
||||
status_text VARCHAR(50),
|
||||
status TEXT,
|
||||
notes TEXT,
|
||||
long_note TEXT,
|
||||
ordered INTEGER,
|
||||
po_cost_price DECIMAL(10,3),
|
||||
po_cost_price NUMERIC(14, 4),
|
||||
supplier_id INTEGER,
|
||||
date_created TIMESTAMP WITH TIME ZONE,
|
||||
date_ordered TIMESTAMP WITH TIME ZONE,
|
||||
@@ -94,27 +93,26 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
|
||||
-- Temporary table for receivings
|
||||
CREATE TEMP TABLE temp_receivings (
|
||||
receiving_id VARCHAR(50) NOT NULL,
|
||||
po_id VARCHAR(50),
|
||||
receiving_id TEXT NOT NULL,
|
||||
po_id TEXT,
|
||||
pid BIGINT NOT NULL,
|
||||
qty_each INTEGER,
|
||||
cost_each DECIMAL(10,5),
|
||||
cost_each NUMERIC(14, 4),
|
||||
received_by INTEGER,
|
||||
received_date TIMESTAMP WITH TIME ZONE,
|
||||
receiving_created_date TIMESTAMP WITH TIME ZONE,
|
||||
supplier_id INTEGER,
|
||||
status INTEGER,
|
||||
status_text VARCHAR(50),
|
||||
status TEXT,
|
||||
PRIMARY KEY (receiving_id, pid)
|
||||
);
|
||||
|
||||
-- Temporary table for tracking FIFO allocations
|
||||
CREATE TEMP TABLE temp_receiving_allocations (
|
||||
po_id VARCHAR(50) NOT NULL,
|
||||
po_id TEXT NOT NULL,
|
||||
pid BIGINT NOT NULL,
|
||||
receiving_id VARCHAR(50) NOT NULL,
|
||||
receiving_id TEXT NOT NULL,
|
||||
allocated_qty INTEGER NOT NULL,
|
||||
cost_each DECIMAL(10,5) NOT NULL,
|
||||
cost_each NUMERIC(14, 4) NOT NULL,
|
||||
received_date TIMESTAMP WITH TIME ZONE NOT NULL,
|
||||
received_by INTEGER,
|
||||
PRIMARY KEY (po_id, pid, receiving_id)
|
||||
@@ -123,8 +121,8 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
-- Temporary table for employee names
|
||||
CREATE TEMP TABLE employee_names (
|
||||
employeeid INTEGER PRIMARY KEY,
|
||||
firstname VARCHAR(100),
|
||||
lastname VARCHAR(100)
|
||||
firstname TEXT,
|
||||
lastname TEXT
|
||||
);
|
||||
|
||||
-- Create indexes for efficient joins
|
||||
@@ -135,22 +133,22 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
|
||||
// Map status codes to text values
|
||||
const poStatusMap = {
|
||||
0: 'Canceled',
|
||||
1: 'Created',
|
||||
10: 'Ready ESend',
|
||||
11: 'Ordered',
|
||||
12: 'Preordered',
|
||||
13: 'Electronically Sent',
|
||||
15: 'Receiving Started',
|
||||
50: 'Done'
|
||||
0: 'canceled',
|
||||
1: 'created',
|
||||
10: 'electronically_ready_send',
|
||||
11: 'ordered',
|
||||
12: 'preordered',
|
||||
13: 'electronically_sent',
|
||||
15: 'receiving_started',
|
||||
50: 'done'
|
||||
};
|
||||
|
||||
const receivingStatusMap = {
|
||||
0: 'Canceled',
|
||||
1: 'Created',
|
||||
30: 'Partial Received',
|
||||
40: 'Full Received',
|
||||
50: 'Paid'
|
||||
0: 'canceled',
|
||||
1: 'created',
|
||||
30: 'partial_received',
|
||||
40: 'full_received',
|
||||
50: 'paid'
|
||||
};
|
||||
|
||||
// Get time window for data retrieval
|
||||
@@ -281,8 +279,7 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
vendor: po.vendor || 'Unknown Vendor',
|
||||
date: validateDate(po.date_ordered) || validateDate(po.date_created),
|
||||
expected_date: validateDate(po.date_estin),
|
||||
status: po.status,
|
||||
status_text: poStatusMap[po.status] || '',
|
||||
status: poStatusMap[po.status] || 'created',
|
||||
notes: po.notes || '',
|
||||
long_note: po.long_note || '',
|
||||
ordered: product.qty_each,
|
||||
@@ -298,8 +295,8 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
const batch = completePOs.slice(i, i + INSERT_BATCH_SIZE);
|
||||
|
||||
const placeholders = batch.map((_, idx) => {
|
||||
const base = idx * 16;
|
||||
return `($${base + 1}, $${base + 2}, $${base + 3}, $${base + 4}, $${base + 5}, $${base + 6}, $${base + 7}, $${base + 8}, $${base + 9}, $${base + 10}, $${base + 11}, $${base + 12}, $${base + 13}, $${base + 14}, $${base + 15}, $${base + 16})`;
|
||||
const base = idx * 15;
|
||||
return `($${base + 1}, $${base + 2}, $${base + 3}, $${base + 4}, $${base + 5}, $${base + 6}, $${base + 7}, $${base + 8}, $${base + 9}, $${base + 10}, $${base + 11}, $${base + 12}, $${base + 13}, $${base + 14}, $${base + 15})`;
|
||||
}).join(',');
|
||||
|
||||
const values = batch.flatMap(po => [
|
||||
@@ -311,7 +308,6 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
po.date,
|
||||
po.expected_date,
|
||||
po.status,
|
||||
po.status_text,
|
||||
po.notes,
|
||||
po.long_note,
|
||||
po.ordered,
|
||||
@@ -323,8 +319,8 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
|
||||
await localConnection.query(`
|
||||
INSERT INTO temp_purchase_orders (
|
||||
po_id, pid, sku, name, vendor, date, expected_date, status, status_text,
|
||||
notes, long_note, ordered, po_cost_price, supplier_id, date_created, date_ordered
|
||||
po_id, pid, sku, name, vendor, date, expected_date, status, notes, long_note,
|
||||
ordered, po_cost_price, supplier_id, date_created, date_ordered
|
||||
)
|
||||
VALUES ${placeholders}
|
||||
ON CONFLICT (po_id, pid) DO UPDATE SET
|
||||
@@ -334,7 +330,6 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
date = EXCLUDED.date,
|
||||
expected_date = EXCLUDED.expected_date,
|
||||
status = EXCLUDED.status,
|
||||
status_text = EXCLUDED.status_text,
|
||||
notes = EXCLUDED.notes,
|
||||
long_note = EXCLUDED.long_note,
|
||||
ordered = EXCLUDED.ordered,
|
||||
@@ -448,9 +443,7 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
received_date: validateDate(product.received_date) || validateDate(product.receiving_created_date),
|
||||
receiving_created_date: validateDate(product.receiving_created_date),
|
||||
supplier_id: receiving.supplier_id,
|
||||
status: receiving.status,
|
||||
status_text: receivingStatusMap[receiving.status] || '',
|
||||
receiving_created_date: validateDate(product.receiving_created_date)
|
||||
status: receivingStatusMap[receiving.status] || 'created'
|
||||
});
|
||||
}
|
||||
|
||||
@@ -459,8 +452,8 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
const batch = completeReceivings.slice(i, i + INSERT_BATCH_SIZE);
|
||||
|
||||
const placeholders = batch.map((_, idx) => {
|
||||
const base = idx * 11;
|
||||
return `($${base + 1}, $${base + 2}, $${base + 3}, $${base + 4}, $${base + 5}, $${base + 6}, $${base + 7}, $${base + 8}, $${base + 9}, $${base + 10}, $${base + 11})`;
|
||||
const base = idx * 10;
|
||||
return `($${base + 1}, $${base + 2}, $${base + 3}, $${base + 4}, $${base + 5}, $${base + 6}, $${base + 7}, $${base + 8}, $${base + 9}, $${base + 10})`;
|
||||
}).join(',');
|
||||
|
||||
const values = batch.flatMap(r => [
|
||||
@@ -473,14 +466,13 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
r.received_date,
|
||||
r.receiving_created_date,
|
||||
r.supplier_id,
|
||||
r.status,
|
||||
r.status_text
|
||||
r.status
|
||||
]);
|
||||
|
||||
await localConnection.query(`
|
||||
INSERT INTO temp_receivings (
|
||||
receiving_id, po_id, pid, qty_each, cost_each, received_by,
|
||||
received_date, receiving_created_date, supplier_id, status, status_text
|
||||
received_date, receiving_created_date, supplier_id, status
|
||||
)
|
||||
VALUES ${placeholders}
|
||||
ON CONFLICT (receiving_id, pid) DO UPDATE SET
|
||||
@@ -491,8 +483,7 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
received_date = EXCLUDED.received_date,
|
||||
receiving_created_date = EXCLUDED.receiving_created_date,
|
||||
supplier_id = EXCLUDED.supplier_id,
|
||||
status = EXCLUDED.status,
|
||||
status_text = EXCLUDED.status_text
|
||||
status = EXCLUDED.status
|
||||
`, values);
|
||||
}
|
||||
|
||||
@@ -586,11 +577,11 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
name: "Handling standalone receivings",
|
||||
query: `
|
||||
INSERT INTO temp_purchase_orders (
|
||||
po_id, pid, sku, name, vendor, date, status, status_text,
|
||||
po_id, pid, sku, name, vendor, date, status,
|
||||
ordered, po_cost_price, supplier_id, date_created, date_ordered
|
||||
)
|
||||
SELECT
|
||||
'R' || r.receiving_id as po_id,
|
||||
r.receiving_id::text as po_id,
|
||||
r.pid,
|
||||
COALESCE(p.sku, 'NO-SKU') as sku,
|
||||
COALESCE(p.name, 'Unknown Product') as name,
|
||||
@@ -600,8 +591,7 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
'Unknown Vendor'
|
||||
) as vendor,
|
||||
COALESCE(r.received_date, r.receiving_created_date) as date,
|
||||
NULL as status,
|
||||
NULL as status_text,
|
||||
'created' as status,
|
||||
NULL as ordered,
|
||||
r.cost_each as po_cost_price,
|
||||
r.supplier_id,
|
||||
@@ -626,7 +616,7 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
po_id, pid, receiving_id, allocated_qty, cost_each, received_date, received_by
|
||||
)
|
||||
SELECT
|
||||
'R' || r.receiving_id as po_id,
|
||||
r.receiving_id::text as po_id,
|
||||
r.pid,
|
||||
r.receiving_id,
|
||||
r.qty_each as allocated_qty,
|
||||
@@ -872,13 +862,13 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
|
||||
po.name,
|
||||
COALESCE(ca.avg_cost, po.po_cost_price) as cost_price,
|
||||
po.po_cost_price,
|
||||
CASE WHEN po.status IS NULL THEN 1 ELSE po.status END as status,
|
||||
COALESCE(po.status, 'created'),
|
||||
CASE
|
||||
WHEN rs.total_received IS NULL THEN 1
|
||||
WHEN rs.total_received = 0 THEN 1
|
||||
WHEN rs.total_received < po.ordered THEN 30
|
||||
WHEN rs.total_received >= po.ordered THEN 40
|
||||
ELSE 1
|
||||
WHEN rs.total_received IS NULL THEN 'created'
|
||||
WHEN rs.total_received = 0 THEN 'created'
|
||||
WHEN rs.total_received < po.ordered THEN 'partial_received'
|
||||
WHEN rs.total_received >= po.ordered THEN 'full_received'
|
||||
ELSE 'created'
|
||||
END as receiving_status,
|
||||
po.notes,
|
||||
po.long_note,
|
||||
|
||||
@@ -56,36 +56,94 @@ async function calculateFinancialMetrics(startTime, totalProducts, processedCoun
|
||||
}
|
||||
});
|
||||
|
||||
// Calculate financial metrics with optimized query
|
||||
// First, calculate beginning inventory values (12 months ago)
|
||||
await connection.query(`
|
||||
CREATE TEMPORARY TABLE IF NOT EXISTS temp_beginning_inventory AS
|
||||
WITH beginning_inventory_calc AS (
|
||||
SELECT
|
||||
p.pid,
|
||||
p.stock_quantity as current_quantity,
|
||||
COALESCE(SUM(o.quantity), 0) as sold_quantity,
|
||||
COALESCE(SUM(po.received), 0) as received_quantity,
|
||||
GREATEST(0, (p.stock_quantity + COALESCE(SUM(o.quantity), 0) - COALESCE(SUM(po.received), 0))) as beginning_quantity,
|
||||
p.cost_price
|
||||
FROM
|
||||
products p
|
||||
LEFT JOIN
|
||||
orders o ON p.pid = o.pid
|
||||
AND o.canceled = false
|
||||
AND o.date >= CURRENT_DATE - INTERVAL '12 months'::interval
|
||||
LEFT JOIN
|
||||
purchase_orders po ON p.pid = po.pid
|
||||
AND po.received_date IS NOT NULL
|
||||
AND po.received_date >= CURRENT_DATE - INTERVAL '12 months'::interval
|
||||
GROUP BY
|
||||
p.pid, p.stock_quantity, p.cost_price
|
||||
)
|
||||
SELECT
|
||||
pid,
|
||||
beginning_quantity,
|
||||
beginning_quantity * cost_price as beginning_value,
|
||||
current_quantity * cost_price as current_value,
|
||||
((beginning_quantity * cost_price) + (current_quantity * cost_price)) / 2 as average_inventory_value
|
||||
FROM
|
||||
beginning_inventory_calc
|
||||
`);
|
||||
|
||||
processedCount = Math.floor(totalProducts * 0.60);
|
||||
outputProgress({
|
||||
status: 'running',
|
||||
operation: 'Beginning inventory values calculated, computing financial metrics',
|
||||
current: processedCount,
|
||||
total: totalProducts,
|
||||
elapsed: formatElapsedTime(startTime),
|
||||
remaining: estimateRemaining(startTime, processedCount, totalProducts),
|
||||
rate: calculateRate(startTime, processedCount),
|
||||
percentage: ((processedCount / totalProducts) * 100).toFixed(1),
|
||||
timing: {
|
||||
start_time: new Date(startTime).toISOString(),
|
||||
end_time: new Date().toISOString(),
|
||||
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
|
||||
}
|
||||
});
|
||||
|
||||
// Calculate financial metrics with optimized query and standard formulas
|
||||
await connection.query(`
|
||||
WITH product_financials AS (
|
||||
SELECT
|
||||
p.pid,
|
||||
p.cost_price * p.stock_quantity as inventory_value,
|
||||
SUM(o.quantity * o.price) as total_revenue,
|
||||
SUM(o.quantity * p.cost_price) as cost_of_goods_sold,
|
||||
SUM(o.quantity * (o.price - p.cost_price)) as gross_profit,
|
||||
COALESCE(bi.average_inventory_value, p.cost_price * p.stock_quantity) as avg_inventory_value,
|
||||
p.cost_price * p.stock_quantity as current_inventory_value,
|
||||
SUM(o.quantity * (o.price - COALESCE(o.discount, 0))) as total_revenue,
|
||||
SUM(o.quantity * COALESCE(o.costeach, 0)) as cost_of_goods_sold,
|
||||
SUM(o.quantity * (o.price - COALESCE(o.discount, 0) - COALESCE(o.costeach, 0))) as gross_profit,
|
||||
MIN(o.date) as first_sale_date,
|
||||
MAX(o.date) as last_sale_date,
|
||||
EXTRACT(DAY FROM (MAX(o.date)::timestamp with time zone - MIN(o.date)::timestamp with time zone)) + 1 as calculation_period_days,
|
||||
COUNT(DISTINCT DATE(o.date)) as active_days
|
||||
FROM products p
|
||||
LEFT JOIN orders o ON p.pid = o.pid
|
||||
LEFT JOIN temp_beginning_inventory bi ON p.pid = bi.pid
|
||||
WHERE o.canceled = false
|
||||
AND DATE(o.date) >= CURRENT_DATE - INTERVAL '12 months'
|
||||
GROUP BY p.pid, p.cost_price, p.stock_quantity
|
||||
AND DATE(o.date) >= CURRENT_DATE - INTERVAL '12 months'::interval
|
||||
GROUP BY p.pid, p.cost_price, p.stock_quantity, bi.average_inventory_value
|
||||
)
|
||||
UPDATE product_metrics pm
|
||||
SET
|
||||
inventory_value = COALESCE(pf.inventory_value, 0),
|
||||
total_revenue = COALESCE(pf.total_revenue, 0),
|
||||
cost_of_goods_sold = COALESCE(pf.cost_of_goods_sold, 0),
|
||||
gross_profit = COALESCE(pf.gross_profit, 0),
|
||||
gmroi = CASE
|
||||
WHEN COALESCE(pf.inventory_value, 0) > 0 AND pf.active_days > 0 THEN
|
||||
(COALESCE(pf.gross_profit, 0) * (365.0 / pf.active_days)) / COALESCE(pf.inventory_value, 0)
|
||||
inventory_value = COALESCE(pf.current_inventory_value, 0)::decimal(10,3),
|
||||
total_revenue = COALESCE(pf.total_revenue, 0)::decimal(10,3),
|
||||
cost_of_goods_sold = COALESCE(pf.cost_of_goods_sold, 0)::decimal(10,3),
|
||||
gross_profit = COALESCE(pf.gross_profit, 0)::decimal(10,3),
|
||||
turnover_rate = CASE
|
||||
WHEN COALESCE(pf.avg_inventory_value, 0) > 0 THEN
|
||||
COALESCE(pf.cost_of_goods_sold, 0) / NULLIF(pf.avg_inventory_value, 0)
|
||||
ELSE 0
|
||||
END,
|
||||
END::decimal(12,3),
|
||||
gmroi = CASE
|
||||
WHEN COALESCE(pf.avg_inventory_value, 0) > 0 THEN
|
||||
COALESCE(pf.gross_profit, 0) / NULLIF(pf.avg_inventory_value, 0)
|
||||
ELSE 0
|
||||
END::decimal(10,3),
|
||||
last_calculated_at = CURRENT_TIMESTAMP
|
||||
FROM product_financials pf
|
||||
WHERE pm.pid = pf.pid
|
||||
@@ -115,53 +173,8 @@ async function calculateFinancialMetrics(startTime, totalProducts, processedCoun
|
||||
success
|
||||
};
|
||||
|
||||
// Update time-based aggregates with optimized query
|
||||
await connection.query(`
|
||||
WITH monthly_financials AS (
|
||||
SELECT
|
||||
p.pid,
|
||||
EXTRACT(YEAR FROM o.date::timestamp with time zone) as year,
|
||||
EXTRACT(MONTH FROM o.date::timestamp with time zone) as month,
|
||||
p.cost_price * p.stock_quantity as inventory_value,
|
||||
SUM(o.quantity * (o.price - p.cost_price)) as gross_profit,
|
||||
COUNT(DISTINCT DATE(o.date)) as active_days,
|
||||
MIN(o.date) as period_start,
|
||||
MAX(o.date) as period_end
|
||||
FROM products p
|
||||
LEFT JOIN orders o ON p.pid = o.pid
|
||||
WHERE o.canceled = false
|
||||
GROUP BY p.pid, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone), p.cost_price, p.stock_quantity
|
||||
)
|
||||
UPDATE product_time_aggregates pta
|
||||
SET
|
||||
inventory_value = COALESCE(mf.inventory_value, 0),
|
||||
gmroi = CASE
|
||||
WHEN COALESCE(mf.inventory_value, 0) > 0 AND mf.active_days > 0 THEN
|
||||
(COALESCE(mf.gross_profit, 0) * (365.0 / mf.active_days)) / COALESCE(mf.inventory_value, 0)
|
||||
ELSE 0
|
||||
END
|
||||
FROM monthly_financials mf
|
||||
WHERE pta.pid = mf.pid
|
||||
AND pta.year = mf.year
|
||||
AND pta.month = mf.month
|
||||
`);
|
||||
|
||||
processedCount = Math.floor(totalProducts * 0.70);
|
||||
outputProgress({
|
||||
status: 'running',
|
||||
operation: 'Time-based aggregates updated',
|
||||
current: processedCount,
|
||||
total: totalProducts,
|
||||
elapsed: formatElapsedTime(startTime),
|
||||
remaining: estimateRemaining(startTime, processedCount, totalProducts),
|
||||
rate: calculateRate(startTime, processedCount),
|
||||
percentage: ((processedCount / totalProducts) * 100).toFixed(1),
|
||||
timing: {
|
||||
start_time: new Date(startTime).toISOString(),
|
||||
end_time: new Date().toISOString(),
|
||||
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
|
||||
}
|
||||
});
|
||||
// Clean up temporary tables
|
||||
await connection.query('DROP TABLE IF EXISTS temp_beginning_inventory');
|
||||
|
||||
// If we get here, everything completed successfully
|
||||
success = true;
|
||||
@@ -187,6 +200,12 @@ async function calculateFinancialMetrics(startTime, totalProducts, processedCoun
|
||||
throw error;
|
||||
} finally {
|
||||
if (connection) {
|
||||
try {
|
||||
// Make sure temporary tables are always cleaned up
|
||||
await connection.query('DROP TABLE IF EXISTS temp_beginning_inventory');
|
||||
} catch (err) {
|
||||
console.error('Error cleaning up temp tables:', err);
|
||||
}
|
||||
connection.release();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -66,8 +66,36 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
WHERE category_id IS NULL AND vendor IS NULL
|
||||
LIMIT 1
|
||||
`);
|
||||
|
||||
// Check if threshold data was returned
|
||||
if (!thresholds.rows || thresholds.rows.length === 0) {
|
||||
console.warn('No default thresholds found in the database. Using explicit type casting in the query.');
|
||||
}
|
||||
|
||||
const defaultThresholds = thresholds.rows[0];
|
||||
|
||||
// Get financial calculation configuration parameters
|
||||
const financialConfig = await connection.query(`
|
||||
SELECT
|
||||
order_cost,
|
||||
holding_rate,
|
||||
service_level_z_score,
|
||||
min_reorder_qty,
|
||||
default_reorder_qty,
|
||||
default_safety_stock
|
||||
FROM financial_calc_config
|
||||
WHERE id = 1
|
||||
LIMIT 1
|
||||
`);
|
||||
const finConfig = financialConfig.rows[0] || {
|
||||
order_cost: 25.00,
|
||||
holding_rate: 0.25,
|
||||
service_level_z_score: 1.96,
|
||||
min_reorder_qty: 1,
|
||||
default_reorder_qty: 5,
|
||||
default_safety_stock: 5
|
||||
};
|
||||
|
||||
// Calculate base product metrics
|
||||
if (!SKIP_PRODUCT_BASE_METRICS) {
|
||||
outputProgress({
|
||||
@@ -109,6 +137,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
avg_margin_percent DECIMAL(10,3),
|
||||
first_sale_date DATE,
|
||||
last_sale_date DATE,
|
||||
stddev_daily_sales DECIMAL(10,3),
|
||||
PRIMARY KEY (pid)
|
||||
)
|
||||
`);
|
||||
@@ -117,10 +146,11 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
await connection.query(`
|
||||
CREATE TEMPORARY TABLE temp_purchase_metrics (
|
||||
pid BIGINT NOT NULL,
|
||||
avg_lead_time_days DOUBLE PRECISION,
|
||||
avg_lead_time_days DECIMAL(10,2),
|
||||
last_purchase_date DATE,
|
||||
first_received_date DATE,
|
||||
last_received_date DATE,
|
||||
stddev_lead_time_days DECIMAL(10,2),
|
||||
PRIMARY KEY (pid)
|
||||
)
|
||||
`);
|
||||
@@ -140,11 +170,22 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
ELSE 0
|
||||
END as avg_margin_percent,
|
||||
MIN(o.date) as first_sale_date,
|
||||
MAX(o.date) as last_sale_date
|
||||
MAX(o.date) as last_sale_date,
|
||||
COALESCE(STDDEV_SAMP(daily_qty.quantity), 0) as stddev_daily_sales
|
||||
FROM products p
|
||||
LEFT JOIN orders o ON p.pid = o.pid
|
||||
AND o.canceled = false
|
||||
AND o.date >= CURRENT_DATE - INTERVAL '90 days'
|
||||
LEFT JOIN (
|
||||
SELECT
|
||||
pid,
|
||||
DATE(date) as sale_date,
|
||||
SUM(quantity) as quantity
|
||||
FROM orders
|
||||
WHERE canceled = false
|
||||
AND date >= CURRENT_DATE - INTERVAL '90 days'
|
||||
GROUP BY pid, DATE(date)
|
||||
) daily_qty ON p.pid = daily_qty.pid
|
||||
GROUP BY p.pid
|
||||
`);
|
||||
|
||||
@@ -163,7 +204,14 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
) as avg_lead_time_days,
|
||||
MAX(po.date) as last_purchase_date,
|
||||
MIN(po.received_date) as first_received_date,
|
||||
MAX(po.received_date) as last_received_date
|
||||
MAX(po.received_date) as last_received_date,
|
||||
STDDEV_SAMP(
|
||||
CASE
|
||||
WHEN po.received_date IS NOT NULL AND po.date IS NOT NULL
|
||||
THEN EXTRACT(EPOCH FROM (po.received_date::timestamp with time zone - po.date::timestamp with time zone)) / 86400.0
|
||||
ELSE NULL
|
||||
END
|
||||
) as stddev_lead_time_days
|
||||
FROM products p
|
||||
LEFT JOIN purchase_orders po ON p.pid = po.pid
|
||||
AND po.received_date IS NOT NULL
|
||||
@@ -184,7 +232,8 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
30.0 as avg_lead_time_days,
|
||||
NULL as last_purchase_date,
|
||||
NULL as first_received_date,
|
||||
NULL as last_received_date
|
||||
NULL as last_received_date,
|
||||
0.0 as stddev_lead_time_days
|
||||
FROM products p
|
||||
LEFT JOIN temp_purchase_metrics tpm ON p.pid = tpm.pid
|
||||
WHERE tpm.pid IS NULL
|
||||
@@ -208,6 +257,17 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
if (batch.rows.length === 0) break;
|
||||
|
||||
// Process the entire batch in a single efficient query
|
||||
const lowStockThreshold = parseInt(defaultThresholds?.low_stock_threshold) || 5;
|
||||
const criticalDays = parseInt(defaultThresholds?.critical_days) || 7;
|
||||
const reorderDays = parseInt(defaultThresholds?.reorder_days) || 14;
|
||||
const overstockDays = parseInt(defaultThresholds?.overstock_days) || 90;
|
||||
const serviceLevel = parseFloat(finConfig?.service_level_z_score) || 1.96;
|
||||
const defaultSafetyStock = parseInt(finConfig?.default_safety_stock) || 5;
|
||||
const defaultReorderQty = parseInt(finConfig?.default_reorder_qty) || 5;
|
||||
const orderCost = parseFloat(finConfig?.order_cost) || 25.00;
|
||||
const holdingRate = parseFloat(finConfig?.holding_rate) || 0.25;
|
||||
const minReorderQty = parseInt(finConfig?.min_reorder_qty) || 1;
|
||||
|
||||
await connection.query(`
|
||||
UPDATE product_metrics pm
|
||||
SET
|
||||
@@ -219,7 +279,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
avg_margin_percent = COALESCE(sm.avg_margin_percent, 0),
|
||||
first_sale_date = sm.first_sale_date,
|
||||
last_sale_date = sm.last_sale_date,
|
||||
avg_lead_time_days = COALESCE(lm.avg_lead_time_days, 30),
|
||||
avg_lead_time_days = COALESCE(lm.avg_lead_time_days, 30.0),
|
||||
days_of_inventory = CASE
|
||||
WHEN COALESCE(sm.daily_sales_avg, 0) > 0
|
||||
THEN FLOOR(p.stock_quantity / NULLIF(sm.daily_sales_avg, 0))
|
||||
@@ -232,57 +292,61 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
END,
|
||||
stock_status = CASE
|
||||
WHEN p.stock_quantity <= 0 THEN 'Out of Stock'
|
||||
WHEN COALESCE(sm.daily_sales_avg, 0) = 0 AND p.stock_quantity <= $1 THEN 'Low Stock'
|
||||
WHEN COALESCE(sm.daily_sales_avg, 0) = 0 AND p.stock_quantity <= ${lowStockThreshold} THEN 'Low Stock'
|
||||
WHEN COALESCE(sm.daily_sales_avg, 0) = 0 THEN 'In Stock'
|
||||
WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) <= $2 THEN 'Critical'
|
||||
WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) <= $3 THEN 'Reorder'
|
||||
WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) > $4 THEN 'Overstocked'
|
||||
WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) <= ${criticalDays} THEN 'Critical'
|
||||
WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) <= ${reorderDays} THEN 'Reorder'
|
||||
WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) > ${overstockDays} THEN 'Overstocked'
|
||||
ELSE 'Healthy'
|
||||
END,
|
||||
safety_stock = CASE
|
||||
WHEN COALESCE(sm.daily_sales_avg, 0) > 0 THEN
|
||||
CEIL(sm.daily_sales_avg * SQRT(ABS(COALESCE(lm.avg_lead_time_days, 30))) * 1.96)
|
||||
ELSE $5
|
||||
WHEN COALESCE(sm.daily_sales_avg, 0) > 0 AND COALESCE(lm.avg_lead_time_days, 0) > 0 THEN
|
||||
CEIL(
|
||||
${serviceLevel} * SQRT(
|
||||
GREATEST(0, COALESCE(lm.avg_lead_time_days, 0)) * POWER(COALESCE(sm.stddev_daily_sales, 0), 2) +
|
||||
POWER(COALESCE(sm.daily_sales_avg, 0), 2) * POWER(COALESCE(lm.stddev_lead_time_days, 0), 2)
|
||||
)
|
||||
)
|
||||
ELSE ${defaultSafetyStock}
|
||||
END,
|
||||
reorder_point = CASE
|
||||
WHEN COALESCE(sm.daily_sales_avg, 0) > 0 THEN
|
||||
CEIL(sm.daily_sales_avg * COALESCE(lm.avg_lead_time_days, 30)) +
|
||||
CEIL(sm.daily_sales_avg * SQRT(ABS(COALESCE(lm.avg_lead_time_days, 30))) * 1.96)
|
||||
ELSE $6
|
||||
CEIL(sm.daily_sales_avg * GREATEST(0, COALESCE(lm.avg_lead_time_days, 30.0))) +
|
||||
(CASE
|
||||
WHEN COALESCE(sm.daily_sales_avg, 0) > 0 AND COALESCE(lm.avg_lead_time_days, 0) > 0 THEN
|
||||
CEIL(
|
||||
${serviceLevel} * SQRT(
|
||||
GREATEST(0, COALESCE(lm.avg_lead_time_days, 0)) * POWER(COALESCE(sm.stddev_daily_sales, 0), 2) +
|
||||
POWER(COALESCE(sm.daily_sales_avg, 0), 2) * POWER(COALESCE(lm.stddev_lead_time_days, 0), 2)
|
||||
)
|
||||
)
|
||||
ELSE ${defaultSafetyStock}
|
||||
END)
|
||||
ELSE ${lowStockThreshold}
|
||||
END,
|
||||
reorder_qty = CASE
|
||||
WHEN COALESCE(sm.daily_sales_avg, 0) > 0 AND NULLIF(p.cost_price, 0) IS NOT NULL AND NULLIF(p.cost_price, 0) > 0 THEN
|
||||
GREATEST(
|
||||
CEIL(SQRT(ABS((2 * (sm.daily_sales_avg * 365) * 25) / (NULLIF(p.cost_price, 0) * 0.25)))),
|
||||
$7
|
||||
CEIL(SQRT(
|
||||
(2 * (sm.daily_sales_avg * 365) * ${orderCost}) /
|
||||
NULLIF(p.cost_price * ${holdingRate}, 0)
|
||||
)),
|
||||
${minReorderQty}
|
||||
)
|
||||
ELSE $8
|
||||
ELSE ${defaultReorderQty}
|
||||
END,
|
||||
overstocked_amt = CASE
|
||||
WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) > $9
|
||||
THEN GREATEST(0, p.stock_quantity - CEIL(sm.daily_sales_avg * $10))
|
||||
WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) > ${overstockDays}
|
||||
THEN GREATEST(0, p.stock_quantity - CEIL(sm.daily_sales_avg * ${overstockDays}))
|
||||
ELSE 0
|
||||
END,
|
||||
last_calculated_at = NOW()
|
||||
FROM products p
|
||||
LEFT JOIN temp_sales_metrics sm ON p.pid = sm.pid
|
||||
LEFT JOIN temp_purchase_metrics lm ON p.pid = lm.pid
|
||||
WHERE p.pid = ANY($11::bigint[])
|
||||
WHERE p.pid = ANY($1::BIGINT[])
|
||||
AND pm.pid = p.pid
|
||||
`,
|
||||
[
|
||||
defaultThresholds.low_stock_threshold,
|
||||
defaultThresholds.critical_days,
|
||||
defaultThresholds.reorder_days,
|
||||
defaultThresholds.overstock_days,
|
||||
defaultThresholds.low_stock_threshold,
|
||||
defaultThresholds.low_stock_threshold,
|
||||
defaultThresholds.low_stock_threshold,
|
||||
defaultThresholds.low_stock_threshold,
|
||||
defaultThresholds.overstock_days,
|
||||
defaultThresholds.overstock_days,
|
||||
batch.rows.map(row => row.pid)
|
||||
]);
|
||||
`, [batch.rows.map(row => row.pid)]);
|
||||
|
||||
lastPid = batch.rows[batch.rows.length - 1].pid;
|
||||
processedCount += batch.rows.length;
|
||||
@@ -311,25 +375,22 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
}
|
||||
|
||||
// Calculate forecast accuracy and bias in batches
|
||||
lastPid = 0;
|
||||
let forecastPid = 0;
|
||||
while (true) {
|
||||
if (isCancelled) break;
|
||||
|
||||
const batch = await connection.query(
|
||||
const forecastBatch = await connection.query(
|
||||
'SELECT pid FROM products WHERE pid > $1 ORDER BY pid LIMIT $2',
|
||||
[lastPid, BATCH_SIZE]
|
||||
[forecastPid, BATCH_SIZE]
|
||||
);
|
||||
|
||||
if (batch.rows.length === 0) break;
|
||||
if (forecastBatch.rows.length === 0) break;
|
||||
|
||||
const forecastPidArray = forecastBatch.rows.map(row => row.pid);
|
||||
|
||||
// Use array_to_string to convert the array to a string of comma-separated values
|
||||
await connection.query(`
|
||||
UPDATE product_metrics pm
|
||||
SET
|
||||
forecast_accuracy = GREATEST(0, 100 - LEAST(fa.avg_forecast_error, 100)),
|
||||
forecast_bias = GREATEST(-100, LEAST(fa.avg_forecast_bias, 100)),
|
||||
last_forecast_date = fa.last_forecast_date,
|
||||
last_calculated_at = NOW()
|
||||
FROM (
|
||||
WITH forecast_metrics AS (
|
||||
SELECT
|
||||
sf.pid,
|
||||
AVG(CASE
|
||||
@@ -348,13 +409,20 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
AND DATE(o.date) = sf.forecast_date
|
||||
WHERE o.canceled = false
|
||||
AND sf.forecast_date >= CURRENT_DATE - INTERVAL '90 days'
|
||||
AND sf.pid = ANY($1::bigint[])
|
||||
AND sf.pid = ANY('{${forecastPidArray.join(',')}}'::BIGINT[])
|
||||
GROUP BY sf.pid
|
||||
) fa
|
||||
WHERE pm.pid = fa.pid
|
||||
`, [batch.rows.map(row => row.pid)]);
|
||||
)
|
||||
UPDATE product_metrics pm
|
||||
SET
|
||||
forecast_accuracy = GREATEST(0, 100 - LEAST(fm.avg_forecast_error, 100)),
|
||||
forecast_bias = GREATEST(-100, LEAST(fm.avg_forecast_bias, 100)),
|
||||
last_forecast_date = fm.last_forecast_date,
|
||||
last_calculated_at = NOW()
|
||||
FROM forecast_metrics fm
|
||||
WHERE pm.pid = fm.pid
|
||||
`);
|
||||
|
||||
lastPid = batch.rows[batch.rows.length - 1].pid;
|
||||
forecastPid = forecastBatch.rows[forecastBatch.rows.length - 1].pid;
|
||||
}
|
||||
|
||||
// Calculate product time aggregates
|
||||
@@ -375,61 +443,12 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
}
|
||||
});
|
||||
|
||||
// Calculate time-based aggregates
|
||||
await connection.query(`
|
||||
INSERT INTO product_time_aggregates (
|
||||
pid,
|
||||
year,
|
||||
month,
|
||||
total_quantity_sold,
|
||||
total_revenue,
|
||||
total_cost,
|
||||
order_count,
|
||||
avg_price,
|
||||
profit_margin,
|
||||
inventory_value,
|
||||
gmroi
|
||||
)
|
||||
SELECT
|
||||
p.pid,
|
||||
EXTRACT(YEAR FROM o.date::timestamp with time zone) as year,
|
||||
EXTRACT(MONTH FROM o.date::timestamp with time zone) as month,
|
||||
SUM(o.quantity) as total_quantity_sold,
|
||||
SUM(o.price * o.quantity) as total_revenue,
|
||||
SUM(p.cost_price * o.quantity) as total_cost,
|
||||
COUNT(DISTINCT o.order_number) as order_count,
|
||||
AVG(o.price) as avg_price,
|
||||
CASE
|
||||
WHEN SUM(o.quantity * o.price) > 0
|
||||
THEN ((SUM(o.quantity * o.price) - SUM(o.quantity * p.cost_price)) / SUM(o.quantity * o.price)) * 100
|
||||
ELSE 0
|
||||
END as profit_margin,
|
||||
p.cost_price * p.stock_quantity as inventory_value,
|
||||
CASE
|
||||
WHEN p.cost_price * p.stock_quantity > 0
|
||||
THEN (SUM(o.quantity * (o.price - p.cost_price))) / (p.cost_price * p.stock_quantity)
|
||||
ELSE 0
|
||||
END as gmroi
|
||||
FROM products p
|
||||
LEFT JOIN orders o ON p.pid = o.pid AND o.canceled = false
|
||||
WHERE o.date >= CURRENT_DATE - INTERVAL '12 months'
|
||||
GROUP BY p.pid, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone)
|
||||
ON CONFLICT (pid, year, month) DO UPDATE
|
||||
SET
|
||||
total_quantity_sold = EXCLUDED.total_quantity_sold,
|
||||
total_revenue = EXCLUDED.total_revenue,
|
||||
total_cost = EXCLUDED.total_cost,
|
||||
order_count = EXCLUDED.order_count,
|
||||
avg_price = EXCLUDED.avg_price,
|
||||
profit_margin = EXCLUDED.profit_margin,
|
||||
inventory_value = EXCLUDED.inventory_value,
|
||||
gmroi = EXCLUDED.gmroi
|
||||
`);
|
||||
|
||||
// Note: The time-aggregates calculation has been moved to time-aggregates.js
|
||||
// This module will not duplicate that functionality
|
||||
processedCount = Math.floor(totalProducts * 0.6);
|
||||
outputProgress({
|
||||
status: 'running',
|
||||
operation: 'Product time aggregates calculated',
|
||||
operation: 'Product time aggregates calculation delegated to time-aggregates module',
|
||||
current: processedCount || 0,
|
||||
total: totalProducts || 0,
|
||||
elapsed: formatElapsedTime(startTime),
|
||||
@@ -488,6 +507,10 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
const abcConfig = await connection.query('SELECT a_threshold, b_threshold FROM abc_classification_config WHERE id = 1');
|
||||
const abcThresholds = abcConfig.rows[0] || { a_threshold: 20, b_threshold: 50 };
|
||||
|
||||
// Extract values and ensure they are valid numbers
|
||||
const aThreshold = parseFloat(abcThresholds.a_threshold) || 20;
|
||||
const bThreshold = parseFloat(abcThresholds.b_threshold) || 50;
|
||||
|
||||
// First, create and populate the rankings table with an index
|
||||
await connection.query('DROP TABLE IF EXISTS temp_revenue_ranks');
|
||||
await connection.query(`
|
||||
@@ -557,13 +580,13 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
OR pm.abc_class !=
|
||||
CASE
|
||||
WHEN tr.pid IS NULL THEN 'C'
|
||||
WHEN tr.percentile <= $2 THEN 'A'
|
||||
WHEN tr.percentile <= $3 THEN 'B'
|
||||
WHEN tr.percentile <= ${aThreshold} THEN 'A'
|
||||
WHEN tr.percentile <= ${bThreshold} THEN 'B'
|
||||
ELSE 'C'
|
||||
END)
|
||||
ORDER BY pm.pid
|
||||
LIMIT $4
|
||||
`, [abcProcessedCount, abcThresholds.a_threshold, abcThresholds.b_threshold, batchSize]);
|
||||
LIMIT $2
|
||||
`, [abcProcessedCount, batchSize]);
|
||||
|
||||
if (pids.rows.length === 0) break;
|
||||
|
||||
@@ -574,15 +597,15 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
SET abc_class =
|
||||
CASE
|
||||
WHEN tr.pid IS NULL THEN 'C'
|
||||
WHEN tr.percentile <= $1 THEN 'A'
|
||||
WHEN tr.percentile <= $2 THEN 'B'
|
||||
WHEN tr.percentile <= ${aThreshold} THEN 'A'
|
||||
WHEN tr.percentile <= ${bThreshold} THEN 'B'
|
||||
ELSE 'C'
|
||||
END,
|
||||
last_calculated_at = NOW()
|
||||
FROM (SELECT pid, percentile FROM temp_revenue_ranks) tr
|
||||
WHERE pm.pid = tr.pid AND pm.pid = ANY($3::bigint[])
|
||||
OR (pm.pid = ANY($3::bigint[]) AND tr.pid IS NULL)
|
||||
`, [abcThresholds.a_threshold, abcThresholds.b_threshold, pidValues]);
|
||||
WHERE pm.pid = tr.pid AND pm.pid = ANY($1::BIGINT[])
|
||||
OR (pm.pid = ANY($1::BIGINT[]) AND tr.pid IS NULL)
|
||||
`, [pidValues]);
|
||||
|
||||
// Now update turnover rate with proper handling of zero inventory periods
|
||||
await connection.query(`
|
||||
@@ -610,7 +633,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
|
||||
JOIN products p ON o.pid = p.pid
|
||||
WHERE o.canceled = false
|
||||
AND o.date >= CURRENT_DATE - INTERVAL '90 days'
|
||||
AND o.pid = ANY($1::bigint[])
|
||||
AND o.pid = ANY($1::BIGINT[])
|
||||
GROUP BY o.pid
|
||||
) sales
|
||||
WHERE pm.pid = sales.pid
|
||||
@@ -707,40 +730,7 @@ function calculateStockStatus(stock, config, daily_sales_avg, weekly_sales_avg,
|
||||
return 'Healthy';
|
||||
}
|
||||
|
||||
function calculateReorderQuantities(stock, stock_status, daily_sales_avg, avg_lead_time, config) {
|
||||
// Calculate safety stock based on service level and lead time
|
||||
const z_score = 1.96; // 95% service level
|
||||
const lead_time = avg_lead_time || config.target_days;
|
||||
const safety_stock = Math.ceil(daily_sales_avg * Math.sqrt(lead_time) * z_score);
|
||||
|
||||
// Calculate reorder point
|
||||
const lead_time_demand = daily_sales_avg * lead_time;
|
||||
const reorder_point = Math.ceil(lead_time_demand + safety_stock);
|
||||
|
||||
// Calculate reorder quantity using EOQ formula if we have the necessary data
|
||||
let reorder_qty = 0;
|
||||
if (daily_sales_avg > 0) {
|
||||
const annual_demand = daily_sales_avg * 365;
|
||||
const order_cost = 25; // Fixed cost per order
|
||||
const holding_cost = config.cost_price * 0.25; // 25% of unit cost as annual holding cost
|
||||
|
||||
reorder_qty = Math.ceil(Math.sqrt((2 * annual_demand * order_cost) / holding_cost));
|
||||
} else {
|
||||
// If no sales data, use a basic calculation
|
||||
reorder_qty = Math.max(safety_stock, config.low_stock_threshold);
|
||||
}
|
||||
|
||||
// Calculate overstocked amount
|
||||
const overstocked_amt = stock_status === 'Overstocked' ?
|
||||
stock - Math.ceil(daily_sales_avg * config.overstock_days) :
|
||||
0;
|
||||
|
||||
return {
|
||||
safety_stock,
|
||||
reorder_point,
|
||||
reorder_qty,
|
||||
overstocked_amt
|
||||
};
|
||||
}
|
||||
// Note: calculateReorderQuantities function has been removed as its logic has been incorporated
|
||||
// in the main SQL query with configurable parameters
|
||||
|
||||
module.exports = calculateProductMetrics;
|
||||
@@ -216,13 +216,7 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
|
||||
GREATEST(0,
|
||||
ROUND(
|
||||
ds.avg_daily_qty *
|
||||
(1 + COALESCE(sf.seasonality_factor, 0)) *
|
||||
CASE
|
||||
WHEN ds.std_daily_qty / NULLIF(ds.avg_daily_qty, 0) > 1.5 THEN 0.85
|
||||
WHEN ds.std_daily_qty / NULLIF(ds.avg_daily_qty, 0) > 1.0 THEN 0.9
|
||||
WHEN ds.std_daily_qty / NULLIF(ds.avg_daily_qty, 0) > 0.5 THEN 0.95
|
||||
ELSE 1.0
|
||||
END
|
||||
(1 + COALESCE(sf.seasonality_factor, 0))
|
||||
)
|
||||
) as forecast_quantity,
|
||||
CASE
|
||||
@@ -336,8 +330,8 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
|
||||
cs.cat_id::bigint as category_id,
|
||||
fd.forecast_date,
|
||||
GREATEST(0,
|
||||
AVG(cs.daily_quantity) *
|
||||
(1 + COALESCE(sf.seasonality_factor, 0))
|
||||
ROUND(AVG(cs.daily_quantity) *
|
||||
(1 + COALESCE(sf.seasonality_factor, 0)))
|
||||
) as forecast_units,
|
||||
GREATEST(0,
|
||||
COALESCE(
|
||||
@@ -345,8 +339,7 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
|
||||
WHEN SUM(cs.day_count) >= 4 THEN AVG(cs.daily_revenue)
|
||||
ELSE ct.overall_avg_revenue
|
||||
END *
|
||||
(1 + COALESCE(sf.seasonality_factor, 0)) *
|
||||
(0.95 + (random() * 0.1)),
|
||||
(1 + COALESCE(sf.seasonality_factor, 0)),
|
||||
0
|
||||
)
|
||||
) as forecast_revenue,
|
||||
@@ -427,6 +420,18 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
|
||||
throw error;
|
||||
} finally {
|
||||
if (connection) {
|
||||
try {
|
||||
// Ensure temporary tables are cleaned up
|
||||
await connection.query(`
|
||||
DROP TABLE IF EXISTS temp_forecast_dates;
|
||||
DROP TABLE IF EXISTS temp_daily_sales;
|
||||
DROP TABLE IF EXISTS temp_product_stats;
|
||||
DROP TABLE IF EXISTS temp_category_sales;
|
||||
DROP TABLE IF EXISTS temp_category_stats;
|
||||
`);
|
||||
} catch (err) {
|
||||
console.error('Error cleaning up temporary tables:', err);
|
||||
}
|
||||
connection.release();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -55,6 +55,93 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
|
||||
}
|
||||
});
|
||||
|
||||
// Create a temporary table for end-of-month inventory values
|
||||
await connection.query(`
|
||||
CREATE TEMPORARY TABLE IF NOT EXISTS temp_monthly_inventory AS
|
||||
WITH months AS (
|
||||
-- Generate all year/month combinations for the last 12 months
|
||||
SELECT
|
||||
EXTRACT(YEAR FROM month_date)::INTEGER as year,
|
||||
EXTRACT(MONTH FROM month_date)::INTEGER as month,
|
||||
month_date as start_date,
|
||||
(month_date + INTERVAL '1 month'::interval - INTERVAL '1 day'::interval)::DATE as end_date
|
||||
FROM (
|
||||
SELECT generate_series(
|
||||
DATE_TRUNC('month', CURRENT_DATE - INTERVAL '12 months'::interval)::DATE,
|
||||
DATE_TRUNC('month', CURRENT_DATE)::DATE,
|
||||
INTERVAL '1 month'::interval
|
||||
) as month_date
|
||||
) dates
|
||||
),
|
||||
monthly_inventory_calc AS (
|
||||
SELECT
|
||||
p.pid,
|
||||
m.year,
|
||||
m.month,
|
||||
m.end_date,
|
||||
p.stock_quantity as current_quantity,
|
||||
-- Calculate sold during period (before end_date)
|
||||
COALESCE(SUM(
|
||||
CASE
|
||||
WHEN o.date <= m.end_date THEN o.quantity
|
||||
ELSE 0
|
||||
END
|
||||
), 0) as sold_after_end_date,
|
||||
-- Calculate received during period (before end_date)
|
||||
COALESCE(SUM(
|
||||
CASE
|
||||
WHEN po.received_date <= m.end_date THEN po.received
|
||||
ELSE 0
|
||||
END
|
||||
), 0) as received_after_end_date,
|
||||
p.cost_price
|
||||
FROM
|
||||
products p
|
||||
CROSS JOIN
|
||||
months m
|
||||
LEFT JOIN
|
||||
orders o ON p.pid = o.pid
|
||||
AND o.canceled = false
|
||||
AND o.date > m.end_date
|
||||
AND o.date <= CURRENT_DATE
|
||||
LEFT JOIN
|
||||
purchase_orders po ON p.pid = po.pid
|
||||
AND po.received_date IS NOT NULL
|
||||
AND po.received_date > m.end_date
|
||||
AND po.received_date <= CURRENT_DATE
|
||||
GROUP BY
|
||||
p.pid, m.year, m.month, m.end_date, p.stock_quantity, p.cost_price
|
||||
)
|
||||
SELECT
|
||||
pid,
|
||||
year,
|
||||
month,
|
||||
-- End of month quantity = current quantity - sold after + received after
|
||||
GREATEST(0, current_quantity - sold_after_end_date + received_after_end_date) as end_of_month_quantity,
|
||||
-- End of month inventory value
|
||||
GREATEST(0, current_quantity - sold_after_end_date + received_after_end_date) * cost_price as end_of_month_value,
|
||||
cost_price
|
||||
FROM
|
||||
monthly_inventory_calc
|
||||
`);
|
||||
|
||||
processedCount = Math.floor(totalProducts * 0.40);
|
||||
outputProgress({
|
||||
status: 'running',
|
||||
operation: 'Monthly inventory values calculated, processing time aggregates',
|
||||
current: processedCount,
|
||||
total: totalProducts,
|
||||
elapsed: formatElapsedTime(startTime),
|
||||
remaining: estimateRemaining(startTime, processedCount, totalProducts),
|
||||
rate: calculateRate(startTime, processedCount),
|
||||
percentage: ((processedCount / totalProducts) * 100).toFixed(1),
|
||||
timing: {
|
||||
start_time: new Date(startTime).toISOString(),
|
||||
end_time: new Date().toISOString(),
|
||||
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
|
||||
}
|
||||
});
|
||||
|
||||
// Initial insert of time-based aggregates
|
||||
await connection.query(`
|
||||
INSERT INTO product_time_aggregates (
|
||||
@@ -75,76 +162,67 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
|
||||
WITH monthly_sales AS (
|
||||
SELECT
|
||||
o.pid,
|
||||
EXTRACT(YEAR FROM o.date::timestamp with time zone) as year,
|
||||
EXTRACT(MONTH FROM o.date::timestamp with time zone) as month,
|
||||
EXTRACT(YEAR FROM o.date::timestamp with time zone)::INTEGER as year,
|
||||
EXTRACT(MONTH FROM o.date::timestamp with time zone)::INTEGER as month,
|
||||
SUM(o.quantity) as total_quantity_sold,
|
||||
SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) as total_revenue,
|
||||
SUM(COALESCE(p.cost_price, 0) * o.quantity) as total_cost,
|
||||
SUM(COALESCE(o.costeach, 0) * o.quantity) as total_cost,
|
||||
COUNT(DISTINCT o.order_number) as order_count,
|
||||
AVG(o.price - COALESCE(o.discount, 0)) as avg_price,
|
||||
CASE
|
||||
WHEN SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) > 0
|
||||
THEN ((SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) - SUM(COALESCE(p.cost_price, 0) * o.quantity))
|
||||
THEN ((SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) - SUM(COALESCE(o.costeach, 0) * o.quantity))
|
||||
/ SUM((o.price - COALESCE(o.discount, 0)) * o.quantity)) * 100
|
||||
ELSE 0
|
||||
END as profit_margin,
|
||||
p.cost_price * p.stock_quantity as inventory_value,
|
||||
COUNT(DISTINCT DATE(o.date)) as active_days
|
||||
FROM orders o
|
||||
JOIN products p ON o.pid = p.pid
|
||||
WHERE o.canceled = false
|
||||
GROUP BY o.pid, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone), p.cost_price, p.stock_quantity
|
||||
GROUP BY o.pid, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone)
|
||||
),
|
||||
monthly_stock AS (
|
||||
SELECT
|
||||
pid,
|
||||
EXTRACT(YEAR FROM date::timestamp with time zone) as year,
|
||||
EXTRACT(MONTH FROM date::timestamp with time zone) as month,
|
||||
EXTRACT(YEAR FROM date::timestamp with time zone)::INTEGER as year,
|
||||
EXTRACT(MONTH FROM date::timestamp with time zone)::INTEGER as month,
|
||||
SUM(received) as stock_received,
|
||||
SUM(ordered) as stock_ordered
|
||||
FROM purchase_orders
|
||||
GROUP BY pid, EXTRACT(YEAR FROM date::timestamp with time zone), EXTRACT(MONTH FROM date::timestamp with time zone)
|
||||
),
|
||||
base_products AS (
|
||||
SELECT
|
||||
p.pid,
|
||||
p.cost_price * p.stock_quantity as inventory_value
|
||||
FROM products p
|
||||
)
|
||||
SELECT
|
||||
COALESCE(s.pid, ms.pid) as pid,
|
||||
COALESCE(s.year, ms.year) as year,
|
||||
COALESCE(s.month, ms.month) as month,
|
||||
COALESCE(s.total_quantity_sold, 0) as total_quantity_sold,
|
||||
COALESCE(s.total_revenue, 0) as total_revenue,
|
||||
COALESCE(s.total_cost, 0) as total_cost,
|
||||
COALESCE(s.order_count, 0) as order_count,
|
||||
COALESCE(ms.stock_received, 0) as stock_received,
|
||||
COALESCE(ms.stock_ordered, 0) as stock_ordered,
|
||||
COALESCE(s.avg_price, 0) as avg_price,
|
||||
COALESCE(s.profit_margin, 0) as profit_margin,
|
||||
COALESCE(s.inventory_value, bp.inventory_value, 0) as inventory_value,
|
||||
COALESCE(s.pid, ms.pid, mi.pid) as pid,
|
||||
COALESCE(s.year, ms.year, mi.year) as year,
|
||||
COALESCE(s.month, ms.month, mi.month) as month,
|
||||
COALESCE(s.total_quantity_sold, 0)::INTEGER as total_quantity_sold,
|
||||
COALESCE(s.total_revenue, 0)::DECIMAL(10,3) as total_revenue,
|
||||
COALESCE(s.total_cost, 0)::DECIMAL(10,3) as total_cost,
|
||||
COALESCE(s.order_count, 0)::INTEGER as order_count,
|
||||
COALESCE(ms.stock_received, 0)::INTEGER as stock_received,
|
||||
COALESCE(ms.stock_ordered, 0)::INTEGER as stock_ordered,
|
||||
COALESCE(s.avg_price, 0)::DECIMAL(10,3) as avg_price,
|
||||
COALESCE(s.profit_margin, 0)::DECIMAL(10,3) as profit_margin,
|
||||
COALESCE(mi.end_of_month_value, 0)::DECIMAL(10,3) as inventory_value,
|
||||
CASE
|
||||
WHEN COALESCE(s.inventory_value, bp.inventory_value, 0) > 0
|
||||
AND COALESCE(s.active_days, 0) > 0
|
||||
THEN (COALESCE(s.total_revenue - s.total_cost, 0) * (365.0 / s.active_days))
|
||||
/ COALESCE(s.inventory_value, bp.inventory_value)
|
||||
WHEN COALESCE(mi.end_of_month_value, 0) > 0
|
||||
THEN (COALESCE(s.total_revenue, 0) - COALESCE(s.total_cost, 0))
|
||||
/ NULLIF(COALESCE(mi.end_of_month_value, 0), 0)
|
||||
ELSE 0
|
||||
END as gmroi
|
||||
END::DECIMAL(10,3) as gmroi
|
||||
FROM (
|
||||
SELECT * FROM monthly_sales s
|
||||
UNION ALL
|
||||
SELECT
|
||||
ms.pid,
|
||||
ms.year,
|
||||
ms.month,
|
||||
pid,
|
||||
year,
|
||||
month,
|
||||
0 as total_quantity_sold,
|
||||
0 as total_revenue,
|
||||
0 as total_cost,
|
||||
0 as order_count,
|
||||
NULL as avg_price,
|
||||
0 as profit_margin,
|
||||
NULL as inventory_value,
|
||||
0 as active_days
|
||||
FROM monthly_stock ms
|
||||
WHERE NOT EXISTS (
|
||||
@@ -153,50 +231,40 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
|
||||
AND s2.year = ms.year
|
||||
AND s2.month = ms.month
|
||||
)
|
||||
UNION ALL
|
||||
SELECT
|
||||
pid,
|
||||
year,
|
||||
month,
|
||||
0 as total_quantity_sold,
|
||||
0 as total_revenue,
|
||||
0 as total_cost,
|
||||
0 as order_count,
|
||||
NULL as avg_price,
|
||||
0 as profit_margin,
|
||||
0 as active_days
|
||||
FROM temp_monthly_inventory mi
|
||||
WHERE NOT EXISTS (
|
||||
SELECT 1 FROM monthly_sales s3
|
||||
WHERE s3.pid = mi.pid
|
||||
AND s3.year = mi.year
|
||||
AND s3.month = mi.month
|
||||
)
|
||||
AND NOT EXISTS (
|
||||
SELECT 1 FROM monthly_stock ms3
|
||||
WHERE ms3.pid = mi.pid
|
||||
AND ms3.year = mi.year
|
||||
AND ms3.month = mi.month
|
||||
)
|
||||
) s
|
||||
LEFT JOIN monthly_stock ms
|
||||
ON s.pid = ms.pid
|
||||
AND s.year = ms.year
|
||||
AND s.month = ms.month
|
||||
JOIN base_products bp ON COALESCE(s.pid, ms.pid) = bp.pid
|
||||
UNION
|
||||
SELECT
|
||||
ms.pid,
|
||||
ms.year,
|
||||
ms.month,
|
||||
0 as total_quantity_sold,
|
||||
0 as total_revenue,
|
||||
0 as total_cost,
|
||||
0 as order_count,
|
||||
ms.stock_received,
|
||||
ms.stock_ordered,
|
||||
0 as avg_price,
|
||||
0 as profit_margin,
|
||||
bp.inventory_value,
|
||||
0 as gmroi
|
||||
FROM monthly_stock ms
|
||||
JOIN base_products bp ON ms.pid = bp.pid
|
||||
WHERE NOT EXISTS (
|
||||
SELECT 1 FROM (
|
||||
SELECT * FROM monthly_sales
|
||||
UNION ALL
|
||||
SELECT
|
||||
ms2.pid,
|
||||
ms2.year,
|
||||
ms2.month,
|
||||
0, 0, 0, 0, NULL, 0, NULL, 0
|
||||
FROM monthly_stock ms2
|
||||
WHERE NOT EXISTS (
|
||||
SELECT 1 FROM monthly_sales s2
|
||||
WHERE s2.pid = ms2.pid
|
||||
AND s2.year = ms2.year
|
||||
AND s2.month = ms2.month
|
||||
)
|
||||
) s
|
||||
WHERE s.pid = ms.pid
|
||||
AND s.year = ms.year
|
||||
AND s.month = ms.month
|
||||
)
|
||||
LEFT JOIN temp_monthly_inventory mi
|
||||
ON s.pid = mi.pid
|
||||
AND s.year = mi.year
|
||||
AND s.month = mi.month
|
||||
ON CONFLICT (pid, year, month) DO UPDATE
|
||||
SET
|
||||
total_quantity_sold = EXCLUDED.total_quantity_sold,
|
||||
@@ -214,7 +282,7 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
|
||||
processedCount = Math.floor(totalProducts * 0.60);
|
||||
outputProgress({
|
||||
status: 'running',
|
||||
operation: 'Base time aggregates calculated, updating financial metrics',
|
||||
operation: 'Base time aggregates calculated',
|
||||
current: processedCount,
|
||||
total: totalProducts,
|
||||
elapsed: formatElapsedTime(startTime),
|
||||
@@ -235,44 +303,8 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
|
||||
success
|
||||
};
|
||||
|
||||
// Update with financial metrics
|
||||
await connection.query(`
|
||||
UPDATE product_time_aggregates pta
|
||||
SET inventory_value = COALESCE(fin.inventory_value, 0)
|
||||
FROM (
|
||||
SELECT
|
||||
p.pid,
|
||||
EXTRACT(YEAR FROM o.date::timestamp with time zone) as year,
|
||||
EXTRACT(MONTH FROM o.date::timestamp with time zone) as month,
|
||||
p.cost_price * p.stock_quantity as inventory_value,
|
||||
SUM(o.quantity * (o.price - p.cost_price)) as gross_profit,
|
||||
COUNT(DISTINCT DATE(o.date)) as active_days
|
||||
FROM products p
|
||||
LEFT JOIN orders o ON p.pid = o.pid
|
||||
WHERE o.canceled = false
|
||||
GROUP BY p.pid, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone), p.cost_price, p.stock_quantity
|
||||
) fin
|
||||
WHERE pta.pid = fin.pid
|
||||
AND pta.year = fin.year
|
||||
AND pta.month = fin.month
|
||||
`);
|
||||
|
||||
processedCount = Math.floor(totalProducts * 0.65);
|
||||
outputProgress({
|
||||
status: 'running',
|
||||
operation: 'Financial metrics updated',
|
||||
current: processedCount,
|
||||
total: totalProducts,
|
||||
elapsed: formatElapsedTime(startTime),
|
||||
remaining: estimateRemaining(startTime, processedCount, totalProducts),
|
||||
rate: calculateRate(startTime, processedCount),
|
||||
percentage: ((processedCount / totalProducts) * 100).toFixed(1),
|
||||
timing: {
|
||||
start_time: new Date(startTime).toISOString(),
|
||||
end_time: new Date().toISOString(),
|
||||
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
|
||||
}
|
||||
});
|
||||
// Clean up temporary tables
|
||||
await connection.query('DROP TABLE IF EXISTS temp_monthly_inventory');
|
||||
|
||||
// If we get here, everything completed successfully
|
||||
success = true;
|
||||
@@ -298,6 +330,12 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
|
||||
throw error;
|
||||
} finally {
|
||||
if (connection) {
|
||||
try {
|
||||
// Ensure temporary tables are cleaned up
|
||||
await connection.query('DROP TABLE IF EXISTS temp_monthly_inventory');
|
||||
} catch (err) {
|
||||
console.error('Error cleaning up temporary tables:', err);
|
||||
}
|
||||
connection.release();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -184,7 +184,7 @@ async function resetDatabase() {
|
||||
SELECT string_agg(tablename, ', ') as tables
|
||||
FROM pg_tables
|
||||
WHERE schemaname = 'public'
|
||||
AND tablename NOT IN ('users', 'permissions', 'user_permissions', 'calculate_history', 'import_history', 'ai_prompts', 'ai_validation_performance', 'templates');
|
||||
AND tablename NOT IN ('users', 'permissions', 'user_permissions', 'calculate_history', 'import_history', 'ai_prompts', 'ai_validation_performance', 'templates', 'reusable_images');
|
||||
`);
|
||||
|
||||
if (!tablesResult.rows[0].tables) {
|
||||
@@ -204,7 +204,7 @@ async function resetDatabase() {
|
||||
// Drop all tables except users
|
||||
const tables = tablesResult.rows[0].tables.split(', ');
|
||||
for (const table of tables) {
|
||||
if (!['users'].includes(table)) {
|
||||
if (!['users', 'reusable_images'].includes(table)) {
|
||||
await client.query(`DROP TABLE IF EXISTS "${table}" CASCADE`);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -39,6 +39,19 @@ const METRICS_TABLES = [
|
||||
'vendor_details'
|
||||
];
|
||||
|
||||
// Tables to always protect from being dropped
|
||||
const PROTECTED_TABLES = [
|
||||
'users',
|
||||
'permissions',
|
||||
'user_permissions',
|
||||
'calculate_history',
|
||||
'import_history',
|
||||
'ai_prompts',
|
||||
'ai_validation_performance',
|
||||
'templates',
|
||||
'reusable_images'
|
||||
];
|
||||
|
||||
// Split SQL into individual statements
|
||||
function splitSQLStatements(sql) {
|
||||
sql = sql.replace(/\r\n/g, '\n');
|
||||
@@ -109,7 +122,8 @@ async function resetMetrics() {
|
||||
FROM pg_tables
|
||||
WHERE schemaname = 'public'
|
||||
AND tablename = ANY($1)
|
||||
`, [METRICS_TABLES]);
|
||||
AND tablename NOT IN (SELECT unnest($2::text[]))
|
||||
`, [METRICS_TABLES, PROTECTED_TABLES]);
|
||||
|
||||
outputProgress({
|
||||
operation: 'Initial state',
|
||||
@@ -126,6 +140,15 @@ async function resetMetrics() {
|
||||
});
|
||||
|
||||
for (const table of [...METRICS_TABLES].reverse()) {
|
||||
// Skip protected tables
|
||||
if (PROTECTED_TABLES.includes(table)) {
|
||||
outputProgress({
|
||||
operation: 'Protected table',
|
||||
message: `Skipping protected table: ${table}`
|
||||
});
|
||||
continue;
|
||||
}
|
||||
|
||||
try {
|
||||
// Use NOWAIT to avoid hanging if there's a lock
|
||||
await client.query(`DROP TABLE IF EXISTS "${table}" CASCADE`);
|
||||
|
||||
@@ -779,10 +779,16 @@ router.get('/history/calculate', async (req, res) => {
|
||||
id,
|
||||
start_time,
|
||||
end_time,
|
||||
duration_minutes,
|
||||
status,
|
||||
error_message,
|
||||
modules_processed::integer,
|
||||
total_modules::integer
|
||||
total_products,
|
||||
total_orders,
|
||||
total_purchase_orders,
|
||||
processed_products,
|
||||
processed_orders,
|
||||
processed_purchase_orders,
|
||||
additional_info
|
||||
FROM calculate_history
|
||||
ORDER BY start_time DESC
|
||||
LIMIT 20
|
||||
@@ -830,4 +836,58 @@ router.get('/status/tables', async (req, res) => {
|
||||
}
|
||||
});
|
||||
|
||||
// GET /status/table-counts - Get record counts for all tables
|
||||
router.get('/status/table-counts', async (req, res) => {
|
||||
try {
|
||||
const pool = req.app.locals.pool;
|
||||
const tables = [
|
||||
// Core tables
|
||||
'products', 'categories', 'product_categories', 'orders', 'purchase_orders',
|
||||
// Metrics tables
|
||||
'product_metrics', 'product_time_aggregates', 'vendor_metrics', 'category_metrics',
|
||||
'vendor_time_metrics', 'category_time_metrics', 'category_sales_metrics',
|
||||
'brand_metrics', 'brand_time_metrics', 'sales_forecasts', 'category_forecasts',
|
||||
// Config tables
|
||||
'stock_thresholds', 'lead_time_thresholds', 'sales_velocity_config',
|
||||
'abc_classification_config', 'safety_stock_config', 'turnover_config',
|
||||
'sales_seasonality', 'financial_calc_config'
|
||||
];
|
||||
|
||||
const counts = await Promise.all(
|
||||
tables.map(table =>
|
||||
pool.query(`SELECT COUNT(*) as count FROM ${table}`)
|
||||
.then(result => ({
|
||||
table_name: table,
|
||||
count: parseInt(result.rows[0].count)
|
||||
}))
|
||||
.catch(err => ({
|
||||
table_name: table,
|
||||
count: null,
|
||||
error: err.message
|
||||
}))
|
||||
)
|
||||
);
|
||||
|
||||
// Group tables by type
|
||||
const groupedCounts = {
|
||||
core: counts.filter(c => ['products', 'categories', 'product_categories', 'orders', 'purchase_orders'].includes(c.table_name)),
|
||||
metrics: counts.filter(c => [
|
||||
'product_metrics', 'product_time_aggregates', 'vendor_metrics', 'category_metrics',
|
||||
'vendor_time_metrics', 'category_time_metrics', 'category_sales_metrics',
|
||||
'brand_metrics', 'brand_time_metrics', 'sales_forecasts', 'category_forecasts'
|
||||
].includes(c.table_name)),
|
||||
config: counts.filter(c => [
|
||||
'stock_thresholds', 'lead_time_thresholds', 'sales_velocity_config',
|
||||
'abc_classification_config', 'safety_stock_config', 'turnover_config',
|
||||
'sales_seasonality', 'financial_calc_config'
|
||||
].includes(c.table_name))
|
||||
};
|
||||
|
||||
res.json(groupedCounts);
|
||||
} catch (error) {
|
||||
console.error('Error fetching table counts:', error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -102,35 +102,40 @@ router.get('/stock/metrics', async (req, res) => {
|
||||
// Returns purchase order metrics by vendor
|
||||
router.get('/purchase/metrics', async (req, res) => {
|
||||
try {
|
||||
// First check if there are any purchase orders in the database
|
||||
const { rows: [poCount] } = await executeQuery(`
|
||||
SELECT COUNT(*) as count FROM purchase_orders
|
||||
`);
|
||||
|
||||
const { rows: [poMetrics] } = await executeQuery(`
|
||||
SELECT
|
||||
COALESCE(COUNT(DISTINCT CASE
|
||||
WHEN po.receiving_status < $1
|
||||
WHEN po.receiving_status NOT IN ('partial_received', 'full_received', 'paid')
|
||||
THEN po.po_id
|
||||
END), 0)::integer as active_pos,
|
||||
COALESCE(COUNT(DISTINCT CASE
|
||||
WHEN po.receiving_status < $1
|
||||
WHEN po.receiving_status NOT IN ('partial_received', 'full_received', 'paid')
|
||||
AND po.expected_date < CURRENT_DATE
|
||||
THEN po.po_id
|
||||
END), 0)::integer as overdue_pos,
|
||||
COALESCE(SUM(CASE
|
||||
WHEN po.receiving_status < $1
|
||||
WHEN po.receiving_status NOT IN ('partial_received', 'full_received', 'paid')
|
||||
THEN po.ordered
|
||||
ELSE 0
|
||||
END), 0)::integer as total_units,
|
||||
ROUND(COALESCE(SUM(CASE
|
||||
WHEN po.receiving_status < $1
|
||||
WHEN po.receiving_status NOT IN ('partial_received', 'full_received', 'paid')
|
||||
THEN po.ordered * po.cost_price
|
||||
ELSE 0
|
||||
END), 0)::numeric, 3) as total_cost,
|
||||
ROUND(COALESCE(SUM(CASE
|
||||
WHEN po.receiving_status < $1
|
||||
WHEN po.receiving_status NOT IN ('partial_received', 'full_received', 'paid')
|
||||
THEN po.ordered * p.price
|
||||
ELSE 0
|
||||
END), 0)::numeric, 3) as total_retail
|
||||
FROM purchase_orders po
|
||||
JOIN products p ON po.pid = p.pid
|
||||
`, [ReceivingStatus.PartialReceived]);
|
||||
`);
|
||||
|
||||
const { rows: vendorOrders } = await executeQuery(`
|
||||
SELECT
|
||||
@@ -141,15 +146,15 @@ router.get('/purchase/metrics', async (req, res) => {
|
||||
ROUND(COALESCE(SUM(po.ordered * p.price), 0)::numeric, 3) as retail
|
||||
FROM purchase_orders po
|
||||
JOIN products p ON po.pid = p.pid
|
||||
WHERE po.receiving_status < $1
|
||||
WHERE po.receiving_status NOT IN ('partial_received', 'full_received', 'paid')
|
||||
GROUP BY po.vendor
|
||||
HAVING ROUND(COALESCE(SUM(po.ordered * po.cost_price), 0)::numeric, 3) > 0
|
||||
ORDER BY cost DESC
|
||||
`, [ReceivingStatus.PartialReceived]);
|
||||
`);
|
||||
|
||||
// If no data or missing metrics, provide dummy data
|
||||
if (!poMetrics || vendorOrders.length === 0) {
|
||||
console.log('No purchase metrics found, returning dummy data');
|
||||
// If no purchase orders exist at all in the database, return dummy data
|
||||
if (parseInt(poCount.count) === 0) {
|
||||
console.log('No purchase orders found in database, returning dummy data');
|
||||
|
||||
return res.json({
|
||||
activePurchaseOrders: 12,
|
||||
@@ -165,6 +170,20 @@ router.get('/purchase/metrics', async (req, res) => {
|
||||
});
|
||||
}
|
||||
|
||||
// If no active purchase orders match the criteria, return zeros instead of dummy data
|
||||
if (vendorOrders.length === 0) {
|
||||
console.log('No active purchase orders matching criteria, returning zeros');
|
||||
|
||||
return res.json({
|
||||
activePurchaseOrders: parseInt(poMetrics.active_pos) || 0,
|
||||
overduePurchaseOrders: parseInt(poMetrics.overdue_pos) || 0,
|
||||
onOrderUnits: parseInt(poMetrics.total_units) || 0,
|
||||
onOrderCost: parseFloat(poMetrics.total_cost) || 0,
|
||||
onOrderRetail: parseFloat(poMetrics.total_retail) || 0,
|
||||
vendorOrders: []
|
||||
});
|
||||
}
|
||||
|
||||
// Format response to match PurchaseMetricsData interface
|
||||
const response = {
|
||||
activePurchaseOrders: parseInt(poMetrics.active_pos) || 0,
|
||||
@@ -184,19 +203,15 @@ router.get('/purchase/metrics', async (req, res) => {
|
||||
res.json(response);
|
||||
} catch (err) {
|
||||
console.error('Error fetching purchase metrics:', err);
|
||||
|
||||
// Return dummy data on error
|
||||
res.json({
|
||||
activePurchaseOrders: 12,
|
||||
overduePurchaseOrders: 3,
|
||||
onOrderUnits: 1250,
|
||||
onOrderCost: 12500,
|
||||
onOrderRetail: 25000,
|
||||
vendorOrders: [
|
||||
{ vendor: "Test Vendor 1", orders: 5, units: 500, cost: 5000, retail: 10000 },
|
||||
{ vendor: "Test Vendor 2", orders: 4, units: 400, cost: 4000, retail: 8000 },
|
||||
{ vendor: "Test Vendor 3", orders: 3, units: 350, cost: 3500, retail: 7000 }
|
||||
]
|
||||
res.status(500).json({
|
||||
error: 'Failed to fetch purchase metrics',
|
||||
details: err.message,
|
||||
activePurchaseOrders: 0,
|
||||
overduePurchaseOrders: 0,
|
||||
onOrderUnits: 0,
|
||||
onOrderCost: 0,
|
||||
onOrderRetail: 0,
|
||||
vendorOrders: []
|
||||
});
|
||||
}
|
||||
});
|
||||
@@ -1018,17 +1033,17 @@ router.get('/vendor/performance', async (req, res) => {
|
||||
THEN EXTRACT(EPOCH FROM (po.received_date - po.date))/86400
|
||||
ELSE NULL END)::numeric, 2), 0) as avg_lead_time,
|
||||
COALESCE(ROUND(SUM(CASE
|
||||
WHEN po.status = 'completed' AND po.received_date <= po.expected_date
|
||||
WHEN po.status = 'done' AND po.received_date <= po.expected_date
|
||||
THEN 1
|
||||
ELSE 0
|
||||
END)::numeric * 100.0 / NULLIF(COUNT(*)::numeric, 0), 2), 0) as on_time_delivery_rate,
|
||||
COALESCE(ROUND(AVG(CASE
|
||||
WHEN po.status = 'completed'
|
||||
WHEN po.status = 'done'
|
||||
THEN po.received::numeric / NULLIF(po.ordered::numeric, 0) * 100
|
||||
ELSE NULL
|
||||
END)::numeric, 2), 0) as avg_fill_rate,
|
||||
COUNT(CASE WHEN po.status = 'open' THEN 1 END)::integer as active_orders,
|
||||
COUNT(CASE WHEN po.status = 'open' AND po.expected_date < CURRENT_DATE THEN 1 END)::integer as overdue_orders
|
||||
COUNT(CASE WHEN po.status IN ('created', 'electronically_ready_send', 'ordered', 'preordered', 'electronically_sent', 'receiving_started') THEN 1 END)::integer as active_orders,
|
||||
COUNT(CASE WHEN po.status IN ('created', 'electronically_ready_send', 'ordered', 'preordered', 'electronically_sent', 'receiving_started') AND po.expected_date < CURRENT_DATE THEN 1 END)::integer as overdue_orders
|
||||
FROM purchase_orders po
|
||||
WHERE po.date >= CURRENT_DATE - INTERVAL '180 days'
|
||||
GROUP BY po.vendor
|
||||
@@ -1165,7 +1180,7 @@ router.get('/key-metrics', async (req, res) => {
|
||||
SELECT
|
||||
COUNT(DISTINCT po_id) as total_pos,
|
||||
SUM(ordered * cost_price) as total_po_value,
|
||||
COUNT(CASE WHEN status = 'open' THEN 1 END) as open_pos
|
||||
COUNT(CASE WHEN status IN ('created', 'electronically_ready_send', 'ordered', 'preordered', 'electronically_sent', 'receiving_started') THEN 1 END) as open_pos
|
||||
FROM purchase_orders
|
||||
WHERE order_date >= CURRENT_DATE - INTERVAL '${days} days'
|
||||
)
|
||||
|
||||
@@ -8,7 +8,9 @@ const fs = require('fs');
|
||||
|
||||
// Create uploads directory if it doesn't exist
|
||||
const uploadsDir = path.join('/var/www/html/inventory/uploads/products');
|
||||
const reusableUploadsDir = path.join('/var/www/html/inventory/uploads/reusable');
|
||||
fs.mkdirSync(uploadsDir, { recursive: true });
|
||||
fs.mkdirSync(reusableUploadsDir, { recursive: true });
|
||||
|
||||
// Create a Map to track image upload times and their scheduled deletion
|
||||
const imageUploadMap = new Map();
|
||||
@@ -35,6 +37,12 @@ const connectionCache = {
|
||||
|
||||
// Function to schedule image deletion after 24 hours
|
||||
const scheduleImageDeletion = (filename, filePath) => {
|
||||
// Only schedule deletion for images in the products folder
|
||||
if (!filePath.includes('/uploads/products/')) {
|
||||
console.log(`Skipping deletion for non-product image: ${filename}`);
|
||||
return;
|
||||
}
|
||||
|
||||
// Delete any existing timeout for this file
|
||||
if (imageUploadMap.has(filename)) {
|
||||
clearTimeout(imageUploadMap.get(filename).timeoutId);
|
||||
@@ -407,6 +415,14 @@ router.delete('/delete-image', (req, res) => {
|
||||
return res.status(404).json({ error: 'File not found' });
|
||||
}
|
||||
|
||||
// Only allow deletion of images in the products folder
|
||||
if (!filePath.includes('/uploads/products/')) {
|
||||
return res.status(403).json({
|
||||
error: 'Cannot delete images outside the products folder',
|
||||
message: 'This image is in a protected folder and cannot be deleted through this endpoint'
|
||||
});
|
||||
}
|
||||
|
||||
// Delete the file
|
||||
fs.unlinkSync(filePath);
|
||||
|
||||
@@ -641,11 +657,19 @@ router.get('/check-file/:filename', (req, res) => {
|
||||
return res.status(400).json({ error: 'Invalid filename' });
|
||||
}
|
||||
|
||||
const filePath = path.join(uploadsDir, filename);
|
||||
// First check in products directory
|
||||
let filePath = path.join(uploadsDir, filename);
|
||||
let exists = fs.existsSync(filePath);
|
||||
|
||||
// If not found in products, check in reusable directory
|
||||
if (!exists) {
|
||||
filePath = path.join(reusableUploadsDir, filename);
|
||||
exists = fs.existsSync(filePath);
|
||||
}
|
||||
|
||||
try {
|
||||
// Check if file exists
|
||||
if (!fs.existsSync(filePath)) {
|
||||
if (!exists) {
|
||||
return res.status(404).json({
|
||||
error: 'File not found',
|
||||
path: filePath,
|
||||
@@ -685,13 +709,23 @@ router.get('/check-file/:filename', (req, res) => {
|
||||
// List all files in uploads directory
|
||||
router.get('/list-uploads', (req, res) => {
|
||||
try {
|
||||
if (!fs.existsSync(uploadsDir)) {
|
||||
return res.status(404).json({ error: 'Uploads directory not found', path: uploadsDir });
|
||||
const { directory = 'products' } = req.query;
|
||||
|
||||
// Determine which directory to list
|
||||
let targetDir;
|
||||
if (directory === 'reusable') {
|
||||
targetDir = reusableUploadsDir;
|
||||
} else {
|
||||
targetDir = uploadsDir; // default to products
|
||||
}
|
||||
|
||||
const files = fs.readdirSync(uploadsDir);
|
||||
if (!fs.existsSync(targetDir)) {
|
||||
return res.status(404).json({ error: 'Uploads directory not found', path: targetDir });
|
||||
}
|
||||
|
||||
const files = fs.readdirSync(targetDir);
|
||||
const fileDetails = files.map(file => {
|
||||
const filePath = path.join(uploadsDir, file);
|
||||
const filePath = path.join(targetDir, file);
|
||||
try {
|
||||
const stats = fs.statSync(filePath);
|
||||
return {
|
||||
@@ -709,12 +743,13 @@ router.get('/list-uploads', (req, res) => {
|
||||
});
|
||||
|
||||
return res.json({
|
||||
directory: uploadsDir,
|
||||
directory: targetDir,
|
||||
type: directory,
|
||||
count: files.length,
|
||||
files: fileDetails
|
||||
});
|
||||
} catch (error) {
|
||||
return res.status(500).json({ error: error.message, path: uploadsDir });
|
||||
return res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
|
||||
@@ -65,6 +65,68 @@ router.get('/', async (req, res) => {
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
// Handle text filters for specific fields
|
||||
if (req.query.barcode) {
|
||||
conditions.push(`p.barcode ILIKE $${paramCounter}`);
|
||||
params.push(`%${req.query.barcode}%`);
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
if (req.query.vendor_reference) {
|
||||
conditions.push(`p.vendor_reference ILIKE $${paramCounter}`);
|
||||
params.push(`%${req.query.vendor_reference}%`);
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
// Add new text filters for the additional fields
|
||||
if (req.query.description) {
|
||||
conditions.push(`p.description ILIKE $${paramCounter}`);
|
||||
params.push(`%${req.query.description}%`);
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
if (req.query.harmonized_tariff_code) {
|
||||
conditions.push(`p.harmonized_tariff_code ILIKE $${paramCounter}`);
|
||||
params.push(`%${req.query.harmonized_tariff_code}%`);
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
if (req.query.notions_reference) {
|
||||
conditions.push(`p.notions_reference ILIKE $${paramCounter}`);
|
||||
params.push(`%${req.query.notions_reference}%`);
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
if (req.query.line) {
|
||||
conditions.push(`p.line ILIKE $${paramCounter}`);
|
||||
params.push(`%${req.query.line}%`);
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
if (req.query.subline) {
|
||||
conditions.push(`p.subline ILIKE $${paramCounter}`);
|
||||
params.push(`%${req.query.subline}%`);
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
if (req.query.artist) {
|
||||
conditions.push(`p.artist ILIKE $${paramCounter}`);
|
||||
params.push(`%${req.query.artist}%`);
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
if (req.query.country_of_origin) {
|
||||
conditions.push(`p.country_of_origin ILIKE $${paramCounter}`);
|
||||
params.push(`%${req.query.country_of_origin}%`);
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
if (req.query.location) {
|
||||
conditions.push(`p.location ILIKE $${paramCounter}`);
|
||||
params.push(`%${req.query.location}%`);
|
||||
paramCounter++;
|
||||
}
|
||||
|
||||
// Handle numeric filters with operators
|
||||
const numericFields = {
|
||||
stock: 'p.stock_quantity',
|
||||
@@ -74,11 +136,31 @@ router.get('/', async (req, res) => {
|
||||
dailySalesAvg: 'pm.daily_sales_avg',
|
||||
weeklySalesAvg: 'pm.weekly_sales_avg',
|
||||
monthlySalesAvg: 'pm.monthly_sales_avg',
|
||||
avgQuantityPerOrder: 'pm.avg_quantity_per_order',
|
||||
numberOfOrders: 'pm.number_of_orders',
|
||||
margin: 'pm.avg_margin_percent',
|
||||
gmroi: 'pm.gmroi',
|
||||
inventoryValue: 'pm.inventory_value',
|
||||
costOfGoodsSold: 'pm.cost_of_goods_sold',
|
||||
grossProfit: 'pm.gross_profit',
|
||||
turnoverRate: 'pm.turnover_rate',
|
||||
leadTime: 'pm.current_lead_time',
|
||||
currentLeadTime: 'pm.current_lead_time',
|
||||
targetLeadTime: 'pm.target_lead_time',
|
||||
stockCoverage: 'pm.days_of_inventory',
|
||||
daysOfStock: 'pm.days_of_inventory'
|
||||
daysOfStock: 'pm.days_of_inventory',
|
||||
weeksOfStock: 'pm.weeks_of_inventory',
|
||||
reorderPoint: 'pm.reorder_point',
|
||||
safetyStock: 'pm.safety_stock',
|
||||
// Add new numeric fields
|
||||
preorderCount: 'p.preorder_count',
|
||||
notionsInvCount: 'p.notions_inv_count',
|
||||
rating: 'p.rating',
|
||||
reviews: 'p.reviews',
|
||||
weight: 'p.weight',
|
||||
totalSold: 'p.total_sold',
|
||||
baskets: 'p.baskets',
|
||||
notifies: 'p.notifies'
|
||||
};
|
||||
|
||||
Object.entries(req.query).forEach(([key, value]) => {
|
||||
@@ -102,6 +184,24 @@ router.get('/', async (req, res) => {
|
||||
}
|
||||
});
|
||||
|
||||
// Handle date filters
|
||||
const dateFields = {
|
||||
firstSaleDate: 'pm.first_sale_date',
|
||||
lastSaleDate: 'pm.last_sale_date',
|
||||
lastPurchaseDate: 'pm.last_purchase_date',
|
||||
firstReceivedDate: 'pm.first_received_date',
|
||||
lastReceivedDate: 'pm.last_received_date'
|
||||
};
|
||||
|
||||
Object.entries(req.query).forEach(([key, value]) => {
|
||||
const field = dateFields[key];
|
||||
if (field) {
|
||||
conditions.push(`${field}::TEXT LIKE $${paramCounter}`);
|
||||
params.push(`${value}%`); // Format like '2023-01%' to match by month or '2023-01-01' for exact date
|
||||
paramCounter++;
|
||||
}
|
||||
});
|
||||
|
||||
// Handle select filters
|
||||
if (req.query.vendor) {
|
||||
conditions.push(`p.vendor = $${paramCounter}`);
|
||||
@@ -256,7 +356,8 @@ router.get('/', async (req, res) => {
|
||||
pm.last_received_date,
|
||||
pm.abc_class,
|
||||
pm.stock_status,
|
||||
pm.turnover_rate
|
||||
pm.turnover_rate,
|
||||
p.date_last_sold
|
||||
FROM products p
|
||||
LEFT JOIN product_metrics pm ON p.pid = pm.pid
|
||||
LEFT JOIN product_categories pc ON p.pid = pc.pid
|
||||
@@ -473,6 +574,29 @@ router.get('/:id', async (req, res) => {
|
||||
uom: parseInt(productRows[0].uom),
|
||||
managing_stock: Boolean(productRows[0].managing_stock),
|
||||
replenishable: Boolean(productRows[0].replenishable),
|
||||
// Format new fields
|
||||
preorder_count: parseInt(productRows[0].preorder_count || 0),
|
||||
notions_inv_count: parseInt(productRows[0].notions_inv_count || 0),
|
||||
harmonized_tariff_code: productRows[0].harmonized_tariff_code || '',
|
||||
notions_reference: productRows[0].notions_reference || '',
|
||||
line: productRows[0].line || '',
|
||||
subline: productRows[0].subline || '',
|
||||
artist: productRows[0].artist || '',
|
||||
rating: parseFloat(productRows[0].rating || 0),
|
||||
reviews: parseInt(productRows[0].reviews || 0),
|
||||
weight: parseFloat(productRows[0].weight || 0),
|
||||
dimensions: {
|
||||
length: parseFloat(productRows[0].length || 0),
|
||||
width: parseFloat(productRows[0].width || 0),
|
||||
height: parseFloat(productRows[0].height || 0),
|
||||
},
|
||||
country_of_origin: productRows[0].country_of_origin || '',
|
||||
location: productRows[0].location || '',
|
||||
total_sold: parseInt(productRows[0].total_sold || 0),
|
||||
baskets: parseInt(productRows[0].baskets || 0),
|
||||
notifies: parseInt(productRows[0].notifies || 0),
|
||||
date_last_sold: productRows[0].date_last_sold || null,
|
||||
// Format existing analytics fields
|
||||
daily_sales_avg: parseFloat(productRows[0].daily_sales_avg) || 0,
|
||||
weekly_sales_avg: parseFloat(productRows[0].weekly_sales_avg) || 0,
|
||||
monthly_sales_avg: parseFloat(productRows[0].monthly_sales_avg) || 0,
|
||||
|
||||
@@ -2,9 +2,12 @@
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<link rel="icon" type="image/svg+xml" href="/box.svg" />
|
||||
<link rel="icon" type="image/x-icon" href="/cherrybottom.ico" />
|
||||
<link rel="preconnect" href="https://fonts.googleapis.com">
|
||||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
||||
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@100..900&display=swap" rel="stylesheet">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>Inventory Manager</title>
|
||||
<title>A Cherry On Bottom</title>
|
||||
</head>
|
||||
<body>
|
||||
<div id="root"></div>
|
||||
|
||||
@@ -1 +0,0 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><g fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2"><path d="M21 8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16Z"/><path d="m3.3 7l8.7 5l8.7-5M12 22V12"/></g></svg>
|
||||
|
Before Width: | Height: | Size: 340 B |
BIN
inventory/public/cherrybottom.ico
Normal file
BIN
inventory/public/cherrybottom.ico
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 30 KiB |
BIN
inventory/public/cherrybottom.png
Normal file
BIN
inventory/public/cherrybottom.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 21 KiB |
@@ -1,42 +1,3 @@
|
||||
#root {
|
||||
max-width: 1800px;
|
||||
margin: 0 auto;
|
||||
padding: 2rem;
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
.logo {
|
||||
height: 6em;
|
||||
padding: 1.5em;
|
||||
will-change: filter;
|
||||
transition: filter 300ms;
|
||||
}
|
||||
.logo:hover {
|
||||
filter: drop-shadow(0 0 2em #646cffaa);
|
||||
}
|
||||
.logo.react:hover {
|
||||
filter: drop-shadow(0 0 2em #61dafbaa);
|
||||
}
|
||||
|
||||
@keyframes logo-spin {
|
||||
from {
|
||||
transform: rotate(0deg);
|
||||
}
|
||||
to {
|
||||
transform: rotate(360deg);
|
||||
}
|
||||
}
|
||||
|
||||
@media (prefers-reduced-motion: no-preference) {
|
||||
a:nth-of-type(2) .logo {
|
||||
animation: logo-spin infinite 20s linear;
|
||||
}
|
||||
}
|
||||
|
||||
.card {
|
||||
padding: 2em;
|
||||
}
|
||||
|
||||
.read-the-docs {
|
||||
color: #888;
|
||||
font-family: 'Inter', sans-serif;
|
||||
}
|
||||
@@ -1,4 +1,3 @@
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
|
||||
import { ResponsiveContainer, BarChart, Bar, XAxis, YAxis, Tooltip, ScatterChart, Scatter, ZAxis } from 'recharts';
|
||||
import config from '../../config';
|
||||
|
||||
66
inventory/src/components/dashboard/Overview.tsx
Normal file
66
inventory/src/components/dashboard/Overview.tsx
Normal file
@@ -0,0 +1,66 @@
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import { Line, LineChart, ResponsiveContainer, Tooltip, XAxis, YAxis } from 'recharts';
|
||||
import config from '../../config';
|
||||
|
||||
interface SalesData {
|
||||
date: string;
|
||||
total: number;
|
||||
}
|
||||
|
||||
export function Overview() {
|
||||
const { data, isLoading, error } = useQuery<SalesData[]>({
|
||||
queryKey: ['sales-overview'],
|
||||
queryFn: async () => {
|
||||
const response = await fetch(`${config.apiUrl}/dashboard/sales-overview`);
|
||||
if (!response.ok) {
|
||||
throw new Error('Failed to fetch sales overview');
|
||||
}
|
||||
const rawData = await response.json();
|
||||
return rawData.map((item: SalesData) => ({
|
||||
...item,
|
||||
total: parseFloat(item.total.toString()),
|
||||
date: new Date(item.date).toLocaleDateString('en-US', { month: 'short', day: 'numeric' })
|
||||
}));
|
||||
},
|
||||
});
|
||||
|
||||
if (isLoading) {
|
||||
return <div>Loading chart...</div>;
|
||||
}
|
||||
|
||||
if (error) {
|
||||
return <div className="text-red-500">Error loading sales overview</div>;
|
||||
}
|
||||
|
||||
return (
|
||||
<ResponsiveContainer width="100%" height={350}>
|
||||
<LineChart data={data}>
|
||||
<XAxis
|
||||
dataKey="date"
|
||||
stroke="#888888"
|
||||
fontSize={12}
|
||||
tickLine={false}
|
||||
axisLine={false}
|
||||
/>
|
||||
<YAxis
|
||||
stroke="#888888"
|
||||
fontSize={12}
|
||||
tickLine={false}
|
||||
axisLine={false}
|
||||
tickFormatter={(value) => `$${value.toLocaleString()}`}
|
||||
/>
|
||||
<Tooltip
|
||||
formatter={(value: number) => [`$${value.toLocaleString()}`, 'Sales']}
|
||||
labelFormatter={(label) => `Date: ${label}`}
|
||||
/>
|
||||
<Line
|
||||
type="monotone"
|
||||
dataKey="total"
|
||||
stroke="hsl(var(--primary))"
|
||||
strokeWidth={2}
|
||||
dot={false}
|
||||
/>
|
||||
</LineChart>
|
||||
</ResponsiveContainer>
|
||||
);
|
||||
}
|
||||
79
inventory/src/components/dashboard/VendorPerformance.tsx
Normal file
79
inventory/src/components/dashboard/VendorPerformance.tsx
Normal file
@@ -0,0 +1,79 @@
|
||||
import { useQuery } from "@tanstack/react-query"
|
||||
import { CardHeader, CardTitle, CardContent } from "@/components/ui/card"
|
||||
import {
|
||||
Table,
|
||||
TableBody,
|
||||
TableCell,
|
||||
TableHead,
|
||||
TableHeader,
|
||||
TableRow,
|
||||
} from "@/components/ui/table"
|
||||
import { Progress } from "@/components/ui/progress"
|
||||
import config from "@/config"
|
||||
|
||||
interface VendorMetrics {
|
||||
vendor: string
|
||||
avg_lead_time: number
|
||||
on_time_delivery_rate: number
|
||||
avg_fill_rate: number
|
||||
total_orders: number
|
||||
active_orders: number
|
||||
overdue_orders: number
|
||||
}
|
||||
|
||||
export function VendorPerformance() {
|
||||
const { data: vendors } = useQuery<VendorMetrics[]>({
|
||||
queryKey: ["vendor-metrics"],
|
||||
queryFn: async () => {
|
||||
const response = await fetch(`${config.apiUrl}/dashboard/vendor/performance`)
|
||||
if (!response.ok) {
|
||||
throw new Error("Failed to fetch vendor metrics")
|
||||
}
|
||||
return response.json()
|
||||
},
|
||||
})
|
||||
|
||||
// Sort vendors by on-time delivery rate
|
||||
const sortedVendors = vendors
|
||||
?.sort((a, b) => b.on_time_delivery_rate - a.on_time_delivery_rate)
|
||||
|
||||
return (
|
||||
<>
|
||||
<CardHeader>
|
||||
<CardTitle className="text-lg font-medium">Top Vendor Performance</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent className="max-h-[400px] overflow-auto">
|
||||
<Table>
|
||||
<TableHeader>
|
||||
<TableRow>
|
||||
<TableHead>Vendor</TableHead>
|
||||
<TableHead>On-Time</TableHead>
|
||||
<TableHead className="text-right">Fill Rate</TableHead>
|
||||
</TableRow>
|
||||
</TableHeader>
|
||||
<TableBody>
|
||||
{sortedVendors?.map((vendor) => (
|
||||
<TableRow key={vendor.vendor}>
|
||||
<TableCell className="font-medium">{vendor.vendor}</TableCell>
|
||||
<TableCell>
|
||||
<div className="flex items-center gap-2">
|
||||
<Progress
|
||||
value={vendor.on_time_delivery_rate}
|
||||
className="h-2"
|
||||
/>
|
||||
<span className="w-10 text-sm">
|
||||
{vendor.on_time_delivery_rate.toFixed(0)}%
|
||||
</span>
|
||||
</div>
|
||||
</TableCell>
|
||||
<TableCell className="text-right">
|
||||
{vendor.avg_fill_rate.toFixed(0)}%
|
||||
</TableCell>
|
||||
</TableRow>
|
||||
))}
|
||||
</TableBody>
|
||||
</Table>
|
||||
</CardContent>
|
||||
</>
|
||||
)
|
||||
}
|
||||
@@ -3,7 +3,6 @@ import {
|
||||
Package,
|
||||
BarChart2,
|
||||
Settings,
|
||||
Box,
|
||||
ClipboardList,
|
||||
LogOut,
|
||||
Users,
|
||||
@@ -22,6 +21,7 @@ import {
|
||||
SidebarMenuButton,
|
||||
SidebarMenuItem,
|
||||
SidebarSeparator,
|
||||
useSidebar
|
||||
} from "@/components/ui/sidebar";
|
||||
import { useLocation, useNavigate, Link } from "react-router-dom";
|
||||
import { Protected } from "@/components/auth/Protected";
|
||||
@@ -80,6 +80,7 @@ const items = [
|
||||
export function AppSidebar() {
|
||||
const location = useLocation();
|
||||
const navigate = useNavigate();
|
||||
useSidebar();
|
||||
|
||||
const handleLogout = () => {
|
||||
localStorage.removeItem('token');
|
||||
@@ -90,11 +91,19 @@ export function AppSidebar() {
|
||||
return (
|
||||
<Sidebar collapsible="icon" variant="sidebar">
|
||||
<SidebarHeader>
|
||||
<div className="p-4 flex items-center gap-2 group-data-[collapsible=icon]:justify-center">
|
||||
<Box className="h-6 w-6 shrink-0" />
|
||||
<h2 className="text-lg font-semibold group-data-[collapsible=icon]:hidden">
|
||||
Inventory Manager
|
||||
</h2>
|
||||
<div className="py-1 flex justify-center items-center">
|
||||
<div className="flex items-center">
|
||||
<div className="flex-shrink-0 w-8 h-8 relative flex items-center justify-center">
|
||||
<img
|
||||
src="/cherrybottom.png"
|
||||
alt="Cherry Bottom"
|
||||
className="w-6 h-6 object-contain -rotate-12 transform hover:rotate-0 transition-transform ease-in-out duration-300"
|
||||
/>
|
||||
</div>
|
||||
<div className="ml-2 transition-all duration-200 whitespace-nowrap group-[.group[data-state=collapsed]]:hidden">
|
||||
<span className="font-bold text-lg">A Cherry On Bottom</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</SidebarHeader>
|
||||
<SidebarSeparator />
|
||||
|
||||
@@ -95,12 +95,8 @@ export const AiValidationDialogs: React.FC<AiValidationDialogsProps> = ({
|
||||
isChangeReverted,
|
||||
getFieldDisplayValueWithHighlight,
|
||||
fields,
|
||||
debugData,
|
||||
}) => {
|
||||
const [costPerMillionTokens, setCostPerMillionTokens] = useState(2.5); // Default cost
|
||||
const hasCompanyPrompts =
|
||||
currentPrompt.debugData?.promptSources?.companyPrompts &&
|
||||
currentPrompt.debugData.promptSources.companyPrompts.length > 0;
|
||||
|
||||
// Create our own state to track changes
|
||||
const [localReversionState, setLocalReversionState] = useState<
|
||||
@@ -157,17 +153,6 @@ export const AiValidationDialogs: React.FC<AiValidationDialogsProps> = ({
|
||||
return !!localReversionState[key];
|
||||
};
|
||||
|
||||
// Use "full" as the default tab
|
||||
const defaultTab = "full";
|
||||
const [activeTab, setActiveTab] = useState(defaultTab);
|
||||
|
||||
// Update activeTab when the dialog is opened with new data
|
||||
React.useEffect(() => {
|
||||
if (currentPrompt.isOpen) {
|
||||
setActiveTab("full");
|
||||
}
|
||||
}, [currentPrompt.isOpen]);
|
||||
|
||||
// Format time helper
|
||||
const formatTime = (seconds: number): string => {
|
||||
if (seconds < 60) {
|
||||
|
||||
@@ -125,6 +125,11 @@ interface Product {
|
||||
}>;
|
||||
|
||||
category_paths?: Record<string, string>;
|
||||
|
||||
description?: string;
|
||||
|
||||
preorder_count: number;
|
||||
notions_inv_count: number;
|
||||
}
|
||||
|
||||
interface ProductDetailProps {
|
||||
@@ -225,6 +230,7 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
|
||||
<TabsTrigger value="purchase">Purchase History</TabsTrigger>
|
||||
<TabsTrigger value="financial">Financial</TabsTrigger>
|
||||
<TabsTrigger value="vendor">Vendor</TabsTrigger>
|
||||
<TabsTrigger value="details">Additional Info</TabsTrigger>
|
||||
</TabsList>
|
||||
</div>
|
||||
|
||||
@@ -255,6 +261,12 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
|
||||
<dt className="text-sm text-muted-foreground">UPC</dt>
|
||||
<dd>{product?.barcode || "N/A"}</dd>
|
||||
</div>
|
||||
{product?.description && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Description</dt>
|
||||
<dd>{product.description}</dd>
|
||||
</div>
|
||||
)}
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Categories</dt>
|
||||
<dd className="flex flex-col gap-2">
|
||||
@@ -359,6 +371,51 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
|
||||
</div>
|
||||
</Card>
|
||||
|
||||
<Card className="p-4">
|
||||
<h3 className="font-semibold mb-2">Customer Engagement</h3>
|
||||
<dl className="grid grid-cols-3 gap-4">
|
||||
{product?.total_sold > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Total Sold</dt>
|
||||
<dd className="text-2xl font-semibold">{product.total_sold}</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.rating > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Rating</dt>
|
||||
<dd className="text-2xl font-semibold flex items-center">
|
||||
{product.rating.toFixed(1)}
|
||||
<span className="ml-1 text-yellow-500">★</span>
|
||||
</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.reviews > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Reviews</dt>
|
||||
<dd className="text-2xl font-semibold">{product.reviews}</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.baskets > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">In Baskets</dt>
|
||||
<dd className="text-2xl font-semibold">{product.baskets}</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.notifies > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Notify Requests</dt>
|
||||
<dd className="text-2xl font-semibold">{product.notifies}</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.date_last_sold && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Last Sold</dt>
|
||||
<dd className="text-xl font-semibold">{formatDate(product.date_last_sold)}</dd>
|
||||
</div>
|
||||
)}
|
||||
</dl>
|
||||
</Card>
|
||||
|
||||
<Card className="p-4">
|
||||
<h3 className="font-semibold mb-2">Financial Metrics</h3>
|
||||
<dl className="space-y-2">
|
||||
@@ -426,6 +483,18 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
|
||||
<dt className="text-sm text-muted-foreground">Days of Inventory</dt>
|
||||
<dd className="text-2xl font-semibold">{product?.metrics?.days_of_inventory || 0}</dd>
|
||||
</div>
|
||||
{product?.preorder_count > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Preorders</dt>
|
||||
<dd className="text-2xl font-semibold">{product?.preorder_count}</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.notions_inv_count > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Notions Inventory</dt>
|
||||
<dd className="text-2xl font-semibold">{product?.notions_inv_count}</dd>
|
||||
</div>
|
||||
)}
|
||||
</dl>
|
||||
</Card>
|
||||
|
||||
@@ -506,6 +575,51 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
|
||||
</ResponsiveContainer>
|
||||
</div>
|
||||
</Card>
|
||||
|
||||
<Card className="p-4">
|
||||
<h3 className="font-semibold mb-2">Customer Engagement</h3>
|
||||
<dl className="grid grid-cols-3 gap-4">
|
||||
{product?.total_sold > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Total Sold</dt>
|
||||
<dd className="text-2xl font-semibold">{product.total_sold}</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.rating > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Rating</dt>
|
||||
<dd className="text-2xl font-semibold flex items-center">
|
||||
{product.rating.toFixed(1)}
|
||||
<span className="ml-1 text-yellow-500">★</span>
|
||||
</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.reviews > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Reviews</dt>
|
||||
<dd className="text-2xl font-semibold">{product.reviews}</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.baskets > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">In Baskets</dt>
|
||||
<dd className="text-2xl font-semibold">{product.baskets}</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.notifies > 0 && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Notify Requests</dt>
|
||||
<dd className="text-2xl font-semibold">{product.notifies}</dd>
|
||||
</div>
|
||||
)}
|
||||
{product?.date_last_sold && (
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Last Sold</dt>
|
||||
<dd className="text-xl font-semibold">{formatDate(product.date_last_sold)}</dd>
|
||||
</div>
|
||||
)}
|
||||
</dl>
|
||||
</Card>
|
||||
</div>
|
||||
)}
|
||||
</TabsContent>
|
||||
@@ -661,6 +775,123 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
|
||||
<div className="text-center text-muted-foreground">No vendor performance data available</div>
|
||||
)}
|
||||
</TabsContent>
|
||||
|
||||
<TabsContent value="details" className="p-4">
|
||||
{isLoading ? (
|
||||
<Skeleton className="h-48 w-full" />
|
||||
) : (
|
||||
<div className="space-y-4">
|
||||
<Card className="p-4">
|
||||
<h3 className="font-semibold mb-2">Product Details</h3>
|
||||
<dl className="grid grid-cols-2 gap-4">
|
||||
{product?.description && (
|
||||
<div className="col-span-2">
|
||||
<dt className="text-sm text-muted-foreground">Description</dt>
|
||||
<dd>{product.description}</dd>
|
||||
</div>
|
||||
)}
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Created Date</dt>
|
||||
<dd>{formatDate(product?.created_at)}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Last Updated</dt>
|
||||
<dd>{formatDate(product?.updated_at)}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Product ID</dt>
|
||||
<dd>{product?.pid}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Line</dt>
|
||||
<dd>{product?.line || 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Subline</dt>
|
||||
<dd>{product?.subline || 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Artist</dt>
|
||||
<dd>{product?.artist || 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Country of Origin</dt>
|
||||
<dd>{product?.country_of_origin || 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Location</dt>
|
||||
<dd>{product?.location || 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">HTS Code</dt>
|
||||
<dd>{product?.harmonized_tariff_code || 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Notions Reference</dt>
|
||||
<dd>{product?.notions_reference || 'N/A'}</dd>
|
||||
</div>
|
||||
</dl>
|
||||
</Card>
|
||||
|
||||
<Card className="p-4">
|
||||
<h3 className="font-semibold mb-2">Physical Attributes</h3>
|
||||
<dl className="grid grid-cols-2 gap-4">
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Weight</dt>
|
||||
<dd>{product?.weight ? `${product.weight} kg` : 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Dimensions</dt>
|
||||
<dd>
|
||||
{product?.dimensions
|
||||
? `${product.dimensions.length} × ${product.dimensions.width} × ${product.dimensions.height} cm`
|
||||
: 'N/A'
|
||||
}
|
||||
</dd>
|
||||
</div>
|
||||
</dl>
|
||||
</Card>
|
||||
|
||||
<Card className="p-4">
|
||||
<h3 className="font-semibold mb-2">Customer Metrics</h3>
|
||||
<dl className="grid grid-cols-2 gap-4">
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Rating</dt>
|
||||
<dd className="flex items-center">
|
||||
{product?.rating
|
||||
? <>
|
||||
{product.rating.toFixed(1)}
|
||||
<span className="ml-1 text-yellow-500">★</span>
|
||||
</>
|
||||
: 'N/A'
|
||||
}
|
||||
</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Review Count</dt>
|
||||
<dd>{product?.reviews || 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Total Sold</dt>
|
||||
<dd>{product?.total_sold || 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Currently in Baskets</dt>
|
||||
<dd>{product?.baskets || 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Notify Requests</dt>
|
||||
<dd>{product?.notifies || 'N/A'}</dd>
|
||||
</div>
|
||||
<div>
|
||||
<dt className="text-sm text-muted-foreground">Date Last Sold</dt>
|
||||
<dd>{formatDate(product?.date_last_sold) || 'N/A'}</dd>
|
||||
</div>
|
||||
</dl>
|
||||
</Card>
|
||||
</div>
|
||||
)}
|
||||
</TabsContent>
|
||||
</Tabs>
|
||||
</VaulDrawer.Content>
|
||||
</VaulDrawer.Portal>
|
||||
|
||||
@@ -51,9 +51,28 @@ const FILTER_OPTIONS: FilterOption[] = [
|
||||
// Basic Info Group
|
||||
{ id: "search", label: "Search", type: "text", group: "Basic Info" },
|
||||
{ id: "sku", label: "SKU", type: "text", group: "Basic Info" },
|
||||
{ id: "barcode", label: "UPC/Barcode", type: "text", group: "Basic Info" },
|
||||
{ id: "vendor", label: "Vendor", type: "select", group: "Basic Info" },
|
||||
{ id: "vendor_reference", label: "Supplier #", type: "text", group: "Basic Info" },
|
||||
{ id: "brand", label: "Brand", type: "select", group: "Basic Info" },
|
||||
{ id: "category", label: "Category", type: "select", group: "Basic Info" },
|
||||
{ id: "description", label: "Description", type: "text", group: "Basic Info" },
|
||||
{ id: "harmonized_tariff_code", label: "HTS Code", type: "text", group: "Basic Info" },
|
||||
{ id: "notions_reference", label: "Notions Ref", type: "text", group: "Basic Info" },
|
||||
{ id: "line", label: "Line", type: "text", group: "Basic Info" },
|
||||
{ id: "subline", label: "Subline", type: "text", group: "Basic Info" },
|
||||
{ id: "artist", label: "Artist", type: "text", group: "Basic Info" },
|
||||
{ id: "country_of_origin", label: "Origin", type: "text", group: "Basic Info" },
|
||||
{ id: "location", label: "Location", type: "text", group: "Basic Info" },
|
||||
|
||||
// Physical Properties
|
||||
{
|
||||
id: "weight",
|
||||
label: "Weight",
|
||||
type: "number",
|
||||
group: "Physical Properties",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
|
||||
// Inventory Group
|
||||
{
|
||||
@@ -77,6 +96,20 @@ const FILTER_OPTIONS: FilterOption[] = [
|
||||
group: "Inventory",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "preorderCount",
|
||||
label: "Preorder Count",
|
||||
type: "number",
|
||||
group: "Inventory",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "notionsInvCount",
|
||||
label: "Notions Inventory",
|
||||
type: "number",
|
||||
group: "Inventory",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "daysOfStock",
|
||||
label: "Days of Stock",
|
||||
@@ -84,6 +117,27 @@ const FILTER_OPTIONS: FilterOption[] = [
|
||||
group: "Inventory",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "weeksOfStock",
|
||||
label: "Weeks of Stock",
|
||||
type: "number",
|
||||
group: "Inventory",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "reorderPoint",
|
||||
label: "Reorder Point",
|
||||
type: "number",
|
||||
group: "Inventory",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "safetyStock",
|
||||
label: "Safety Stock",
|
||||
type: "number",
|
||||
group: "Inventory",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "replenishable",
|
||||
label: "Replenishable",
|
||||
@@ -94,6 +148,17 @@ const FILTER_OPTIONS: FilterOption[] = [
|
||||
],
|
||||
group: "Inventory",
|
||||
},
|
||||
{
|
||||
id: "abcClass",
|
||||
label: "ABC Class",
|
||||
type: "select",
|
||||
options: [
|
||||
{ label: "A", value: "A" },
|
||||
{ label: "B", value: "B" },
|
||||
{ label: "C", value: "C" },
|
||||
],
|
||||
group: "Inventory",
|
||||
},
|
||||
|
||||
// Pricing Group
|
||||
{
|
||||
@@ -140,6 +205,73 @@ const FILTER_OPTIONS: FilterOption[] = [
|
||||
group: "Sales Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "avgQuantityPerOrder",
|
||||
label: "Avg Qty/Order",
|
||||
type: "number",
|
||||
group: "Sales Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "numberOfOrders",
|
||||
label: "Order Count",
|
||||
type: "number",
|
||||
group: "Sales Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "firstSaleDate",
|
||||
label: "First Sale Date",
|
||||
type: "text",
|
||||
group: "Sales Metrics",
|
||||
},
|
||||
{
|
||||
id: "lastSaleDate",
|
||||
label: "Last Sale Date",
|
||||
type: "text",
|
||||
group: "Sales Metrics",
|
||||
},
|
||||
{
|
||||
id: "date_last_sold",
|
||||
label: "Date Last Sold",
|
||||
type: "text",
|
||||
group: "Sales Metrics",
|
||||
},
|
||||
{
|
||||
id: "total_sold",
|
||||
label: "Total Sold",
|
||||
type: "number",
|
||||
group: "Sales Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "baskets",
|
||||
label: "In Baskets",
|
||||
type: "number",
|
||||
group: "Sales Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "notifies",
|
||||
label: "Notifies",
|
||||
type: "number",
|
||||
group: "Sales Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "rating",
|
||||
label: "Rating",
|
||||
type: "number",
|
||||
group: "Sales Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "reviews",
|
||||
label: "Reviews",
|
||||
type: "number",
|
||||
group: "Sales Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
|
||||
// Financial Metrics Group
|
||||
{
|
||||
@@ -156,6 +288,34 @@ const FILTER_OPTIONS: FilterOption[] = [
|
||||
group: "Financial Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "inventoryValue",
|
||||
label: "Inventory Value",
|
||||
type: "number",
|
||||
group: "Financial Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "costOfGoodsSold",
|
||||
label: "COGS",
|
||||
type: "number",
|
||||
group: "Financial Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "grossProfit",
|
||||
label: "Gross Profit",
|
||||
type: "number",
|
||||
group: "Financial Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "turnoverRate",
|
||||
label: "Turnover Rate",
|
||||
type: "number",
|
||||
group: "Financial Metrics",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
|
||||
// Lead Time & Stock Coverage Group
|
||||
{
|
||||
@@ -165,6 +325,20 @@ const FILTER_OPTIONS: FilterOption[] = [
|
||||
group: "Lead Time & Coverage",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "currentLeadTime",
|
||||
label: "Current Lead Time",
|
||||
type: "number",
|
||||
group: "Lead Time & Coverage",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "targetLeadTime",
|
||||
label: "Target Lead Time",
|
||||
type: "number",
|
||||
group: "Lead Time & Coverage",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "leadTimeStatus",
|
||||
label: "Lead Time Status",
|
||||
@@ -183,19 +357,26 @@ const FILTER_OPTIONS: FilterOption[] = [
|
||||
group: "Lead Time & Coverage",
|
||||
operators: ["=", ">", ">=", "<", "<=", "between"],
|
||||
},
|
||||
{
|
||||
id: "lastPurchaseDate",
|
||||
label: "Last Purchase Date",
|
||||
type: "text",
|
||||
group: "Lead Time & Coverage",
|
||||
},
|
||||
{
|
||||
id: "firstReceivedDate",
|
||||
label: "First Received Date",
|
||||
type: "text",
|
||||
group: "Lead Time & Coverage",
|
||||
},
|
||||
{
|
||||
id: "lastReceivedDate",
|
||||
label: "Last Received Date",
|
||||
type: "text",
|
||||
group: "Lead Time & Coverage",
|
||||
},
|
||||
|
||||
// Classification Group
|
||||
{
|
||||
id: "abcClass",
|
||||
label: "ABC Class",
|
||||
type: "select",
|
||||
options: [
|
||||
{ label: "A", value: "A" },
|
||||
{ label: "B", value: "B" },
|
||||
{ label: "C", value: "C" },
|
||||
],
|
||||
group: "Classification",
|
||||
},
|
||||
{
|
||||
id: "managingStock",
|
||||
label: "Managing Stock",
|
||||
|
||||
@@ -234,6 +234,11 @@ export function ProductTable({
|
||||
)) || '-'}
|
||||
</div>
|
||||
);
|
||||
case 'dimensions':
|
||||
if (value) {
|
||||
return `${value.length}×${value.width}×${value.height}`;
|
||||
}
|
||||
return '-';
|
||||
case 'stock_status':
|
||||
return getStockStatus(product.stock_status);
|
||||
case 'abc_class':
|
||||
@@ -252,6 +257,14 @@ export function ProductTable({
|
||||
) : (
|
||||
<Badge variant="outline">Non-Replenishable</Badge>
|
||||
);
|
||||
case 'rating':
|
||||
if (value === undefined || value === null) return '-';
|
||||
return (
|
||||
<div className="flex items-center">
|
||||
{value.toFixed(1)}
|
||||
<span className="ml-1 text-yellow-500">★</span>
|
||||
</div>
|
||||
);
|
||||
default:
|
||||
if (columnDef?.format && value !== undefined && value !== null) {
|
||||
// For numeric formats (those using toFixed), ensure the value is a number
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,4 +1,4 @@
|
||||
import { useState, useMemo, useCallback, useRef, useEffect } from "react";
|
||||
import { useState, useMemo, useCallback, useEffect } from "react";
|
||||
import { useQuery, useMutation, useQueryClient } from "@tanstack/react-query";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import {
|
||||
@@ -90,7 +90,7 @@ const ImageForm = ({
|
||||
}: {
|
||||
editingImage: ReusableImage | null;
|
||||
formData: ImageFormData;
|
||||
setFormData: (data: ImageFormData) => void;
|
||||
setFormData: (data: ImageFormData | ((prev: ImageFormData) => ImageFormData)) => void;
|
||||
onSubmit: (e: React.FormEvent) => void;
|
||||
onCancel: () => void;
|
||||
fieldOptions: FieldOptions | undefined;
|
||||
@@ -99,11 +99,11 @@ const ImageForm = ({
|
||||
isDragActive: boolean;
|
||||
}) => {
|
||||
const handleNameChange = useCallback((e: React.ChangeEvent<HTMLInputElement>) => {
|
||||
setFormData(prev => ({ ...prev, name: e.target.value }));
|
||||
setFormData((prev: ImageFormData) => ({ ...prev, name: e.target.value }));
|
||||
}, [setFormData]);
|
||||
|
||||
const handleGlobalChange = useCallback((checked: boolean) => {
|
||||
setFormData(prev => ({
|
||||
setFormData((prev: ImageFormData) => ({
|
||||
...prev,
|
||||
is_global: checked,
|
||||
company: checked ? null : prev.company
|
||||
@@ -111,7 +111,7 @@ const ImageForm = ({
|
||||
}, [setFormData]);
|
||||
|
||||
const handleCompanyChange = useCallback((value: string) => {
|
||||
setFormData(prev => ({ ...prev, company: value }));
|
||||
setFormData((prev: ImageFormData) => ({ ...prev, company: value }));
|
||||
}, [setFormData]);
|
||||
|
||||
return (
|
||||
@@ -738,7 +738,13 @@ export function ReusableImageManagement() {
|
||||
</DialogContent>
|
||||
</Dialog>
|
||||
|
||||
<style jsx global>{`
|
||||
{/* Add global styles for this component using regular style tag */}
|
||||
<style>{`
|
||||
.reusable-image-table thead tr th,
|
||||
.reusable-image-table tbody tr td {
|
||||
padding-left: 1rem;
|
||||
padding-right: 1rem;
|
||||
}
|
||||
.bg-checkerboard {
|
||||
background-image: linear-gradient(45deg, #f0f0f0 25%, transparent 25%),
|
||||
linear-gradient(-45deg, #f0f0f0 25%, transparent 25%),
|
||||
|
||||
@@ -96,17 +96,15 @@
|
||||
@apply border-border;
|
||||
}
|
||||
body {
|
||||
@apply bg-background text-foreground;
|
||||
@apply bg-background text-foreground font-sans;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
@layer base {
|
||||
* {
|
||||
@apply border-border outline-ring/50;
|
||||
}
|
||||
body {
|
||||
@apply bg-background text-foreground;
|
||||
@apply bg-background text-foreground font-sans;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import { StrictMode } from 'react'
|
||||
import { createRoot } from 'react-dom/client'
|
||||
import './index.css'
|
||||
import './App.css'
|
||||
import App from './App.tsx'
|
||||
import { BrowserRouter as Router } from 'react-router-dom'
|
||||
|
||||
|
||||
@@ -1,25 +1,28 @@
|
||||
import { useState, useContext } from "react";
|
||||
import { useNavigate, useSearchParams } from "react-router-dom";
|
||||
import { AuthContext } from "@/contexts/AuthContext";
|
||||
import { toast } from "sonner";
|
||||
import { cn } from "@/lib/utils";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
|
||||
import { Input } from "@/components/ui/input";
|
||||
import { toast } from "sonner";
|
||||
import { Loader2, Box } from "lucide-react";
|
||||
import { motion } from "framer-motion";
|
||||
import { AuthContext } from "@/contexts/AuthContext";
|
||||
import { Label } from "@/components/ui/label";
|
||||
import { motion } from "motion/react";
|
||||
|
||||
export function Login() {
|
||||
const [username, setUsername] = useState("");
|
||||
const [password, setPassword] = useState("");
|
||||
const [isLoading, setIsLoading] = useState(false);
|
||||
const navigate = useNavigate();
|
||||
const [searchParams] = useSearchParams();
|
||||
const { login } = useContext(AuthContext);
|
||||
|
||||
const handleLogin = async (e: React.FormEvent) => {
|
||||
const handleSubmit = async (e: React.FormEvent<HTMLFormElement>) => {
|
||||
e.preventDefault();
|
||||
setIsLoading(true);
|
||||
|
||||
const formData = new FormData(e.currentTarget);
|
||||
const username = formData.get("username") as string;
|
||||
const password = formData.get("password") as string;
|
||||
|
||||
try {
|
||||
await login(username, password);
|
||||
|
||||
@@ -36,70 +39,77 @@ export function Login() {
|
||||
};
|
||||
|
||||
return (
|
||||
<motion.div
|
||||
layout
|
||||
className="min-h-screen bg-gradient-to-b from-slate-100 to-slate-200 dark:from-slate-900 dark:to-slate-800 antialiased"
|
||||
>
|
||||
<div className="flex flex-col gap-2 p-2 bg-primary">
|
||||
<div className="p-4 flex items-center gap-2 group-data-[collapsible=icon]:justify-center text-white">
|
||||
<Box className="h-6 w-6 shrink-0" />
|
||||
<h2 className="text-lg font-semibold group-data-[collapsible=icon]:hidden">
|
||||
Inventory Manager
|
||||
</h2>
|
||||
</div>
|
||||
</div>
|
||||
<motion.div
|
||||
initial={{ opacity: 0, scale: 0.95 }}
|
||||
animate={{ opacity: 1, scale: 1 }}
|
||||
transition={{ duration: 0.3, delay: 0.2 }}
|
||||
className="container relative flex min-h-[calc(100vh-4rem)] flex-col items-center justify-center"
|
||||
>
|
||||
<div className="mx-auto flex w-full flex-col justify-center space-y-6 sm:w-[350px]">
|
||||
<Card className="border-none shadow-xl">
|
||||
<CardHeader className="space-y-1">
|
||||
<div className="flex items-center justify-center mb-2">
|
||||
<Box className="h-10 w-10 text-primary" />
|
||||
</div>
|
||||
<CardTitle className="text-2xl text-center">
|
||||
Log in to continue
|
||||
</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent>
|
||||
<form onSubmit={handleLogin}>
|
||||
<div className="grid gap-4">
|
||||
<div className="grid gap-2">
|
||||
<Input
|
||||
id="username"
|
||||
placeholder="Username"
|
||||
value={username}
|
||||
onChange={(e) => setUsername(e.target.value)}
|
||||
disabled={isLoading}
|
||||
className="w-full"
|
||||
<motion.div className="flex min-h-svh flex-row items-center justify-center bg-muted p-6 md:p-10">
|
||||
<div className="fixed top-0 w-full backdrop-blur-sm bg-white/40 border-b shadow-sm z-10">
|
||||
<div className="mx-auto p-4 sm:p-6">
|
||||
<div className="flex items-center gap-2 font-medium text-3xl justify-center sm:justify-start">
|
||||
<div className="relative">
|
||||
<div className="absolute inset-0 "></div>
|
||||
<img
|
||||
src="/cherrybottom.png"
|
||||
alt="Cherry Bottom"
|
||||
className="h-12 w-12 object-contain -rotate-12 transform hover:rotate-0 transition-transform ease-in-out duration-300 relative z-10"
|
||||
/>
|
||||
</div>
|
||||
<div className="grid gap-2">
|
||||
<Input
|
||||
id="password"
|
||||
type="password"
|
||||
placeholder="Password"
|
||||
value={password}
|
||||
onChange={(e) => setPassword(e.target.value)}
|
||||
disabled={isLoading}
|
||||
className="w-full"
|
||||
/>
|
||||
<span className="font-bold font-text-primary">A Cherry On Bottom</span>
|
||||
</div>
|
||||
<Button className="w-full" type="submit" disabled={isLoading}>
|
||||
{isLoading && (
|
||||
<Loader2 className="mr-2 h-4 w-4 animate-spin" />
|
||||
)}
|
||||
Sign In
|
||||
</Button>
|
||||
<p className="text-sm italic text-muted-foreground text-center sm:text-left ml-32 -mt-1">
|
||||
supporting the cherry on top
|
||||
</p>
|
||||
</div>
|
||||
</form>
|
||||
</CardContent>
|
||||
</Card>
|
||||
</div>
|
||||
</motion.div>
|
||||
<div className="w-full sm:w-[80%] max-w-sm mt-20">
|
||||
<LoginForm onSubmit={handleSubmit} isLoading={isLoading} />
|
||||
</div>
|
||||
|
||||
</motion.div>
|
||||
);
|
||||
}
|
||||
|
||||
interface LoginFormProps {
|
||||
className?: string;
|
||||
isLoading?: boolean;
|
||||
onSubmit: (e: React.FormEvent<HTMLFormElement>) => void;
|
||||
}
|
||||
|
||||
function LoginForm({ className, isLoading, onSubmit, ...props }: LoginFormProps) {
|
||||
return (
|
||||
<motion.div className={cn("flex flex-col gap-6", className)} {...props}>
|
||||
<Card className="overflow-hidden rounded-lg shadow-lg">
|
||||
<CardHeader className="pb-0">
|
||||
<CardTitle className="text-2xl font-bold text-center">Log in to your account</CardTitle>
|
||||
</CardHeader>
|
||||
<CardContent className="grid p-0 h-full">
|
||||
<form className="p-6 md:p-8 flex flex-col gap-6" onSubmit={onSubmit}>
|
||||
<div className="grid gap-2">
|
||||
<Label htmlFor="username">Username</Label>
|
||||
<Input
|
||||
id="username"
|
||||
name="username"
|
||||
type="text"
|
||||
required
|
||||
disabled={isLoading}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="grid gap-2">
|
||||
<Label htmlFor="password">Password</Label>
|
||||
<Input
|
||||
id="password"
|
||||
name="password"
|
||||
type="password"
|
||||
required
|
||||
disabled={isLoading}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<Button type="submit" className="w-full" disabled={isLoading}>
|
||||
{isLoading ? "Logging in..." : "Log In"}
|
||||
</Button>
|
||||
</form>
|
||||
|
||||
</CardContent>
|
||||
</Card>
|
||||
</motion.div>
|
||||
);
|
||||
}
|
||||
|
||||
@@ -52,30 +52,71 @@ const AVAILABLE_COLUMNS: ColumnDef[] = [
|
||||
{ key: 'vendor', label: 'Supplier', group: 'Basic Info' },
|
||||
{ key: 'vendor_reference', label: 'Supplier #', group: 'Basic Info' },
|
||||
{ key: 'barcode', label: 'UPC', group: 'Basic Info' },
|
||||
{ key: 'description', label: 'Description', group: 'Basic Info' },
|
||||
{ key: 'created_at', label: 'Created', group: 'Basic Info' },
|
||||
{ key: 'harmonized_tariff_code', label: 'HTS Code', group: 'Basic Info' },
|
||||
{ key: 'notions_reference', label: 'Notions Ref', group: 'Basic Info' },
|
||||
{ key: 'line', label: 'Line', group: 'Basic Info' },
|
||||
{ key: 'subline', label: 'Subline', group: 'Basic Info' },
|
||||
{ key: 'artist', label: 'Artist', group: 'Basic Info' },
|
||||
{ key: 'country_of_origin', label: 'Origin', group: 'Basic Info' },
|
||||
{ key: 'location', label: 'Location', group: 'Basic Info' },
|
||||
|
||||
// Physical properties
|
||||
{ key: 'weight', label: 'Weight', group: 'Physical', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'dimensions', label: 'Dimensions', group: 'Physical', format: (v) => v ? `${v.length}x${v.width}x${v.height}` : '-' },
|
||||
|
||||
// Stock columns
|
||||
{ key: 'stock_quantity', label: 'Shelf Count', group: 'Stock', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'stock_status', label: 'Stock Status', group: 'Stock' },
|
||||
{ key: 'preorder_count', label: 'Preorders', group: 'Stock', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'notions_inv_count', label: 'Notions Inv', group: 'Stock', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'days_of_inventory', label: 'Days of Stock', group: 'Stock', format: (v) => v?.toFixed(1) ?? '-' },
|
||||
{ key: 'weeks_of_inventory', label: 'Weeks of Stock', group: 'Stock', format: (v) => v?.toFixed(1) ?? '-' },
|
||||
{ key: 'abc_class', label: 'ABC Class', group: 'Stock' },
|
||||
{ key: 'replenishable', label: 'Replenishable', group: 'Stock' },
|
||||
{ key: 'moq', label: 'MOQ', group: 'Stock', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'reorder_qty', label: 'Reorder Qty', group: 'Stock', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'reorder_point', label: 'Reorder Point', group: 'Stock', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'safety_stock', label: 'Safety Stock', group: 'Stock', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'overstocked_amt', label: 'Overstock Amt', group: 'Stock', format: (v) => v?.toString() ?? '-' },
|
||||
|
||||
// Pricing columns
|
||||
{ key: 'price', label: 'Price', group: 'Pricing', format: (v) => v?.toFixed(2) ?? '-' },
|
||||
{ key: 'regular_price', label: 'Default Price', group: 'Pricing', format: (v) => v?.toFixed(2) ?? '-' },
|
||||
{ key: 'cost_price', label: 'Cost', group: 'Pricing', format: (v) => v?.toFixed(2) ?? '-' },
|
||||
{ key: 'landing_cost_price', label: 'Landing Cost', group: 'Pricing', format: (v) => v?.toFixed(2) ?? '-' },
|
||||
|
||||
// Sales columns
|
||||
{ key: 'daily_sales_avg', label: 'Daily Sales', group: 'Sales', format: (v) => v?.toFixed(1) ?? '-' },
|
||||
{ key: 'weekly_sales_avg', label: 'Weekly Sales', group: 'Sales', format: (v) => v?.toFixed(1) ?? '-' },
|
||||
{ key: 'monthly_sales_avg', label: 'Monthly Sales', group: 'Sales', format: (v) => v?.toFixed(1) ?? '-' },
|
||||
{ key: 'avg_quantity_per_order', label: 'Avg Qty/Order', group: 'Sales', format: (v) => v?.toFixed(1) ?? '-' },
|
||||
{ key: 'number_of_orders', label: 'Order Count', group: 'Sales', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'first_sale_date', label: 'First Sale', group: 'Sales' },
|
||||
{ key: 'last_sale_date', label: 'Last Sale', group: 'Sales' },
|
||||
{ key: 'date_last_sold', label: 'Date Last Sold', group: 'Sales' },
|
||||
{ key: 'total_sold', label: 'Total Sold', group: 'Sales', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'baskets', label: 'In Baskets', group: 'Sales', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'notifies', label: 'Notifies', group: 'Sales', format: (v) => v?.toString() ?? '-' },
|
||||
{ key: 'rating', label: 'Rating', group: 'Sales', format: (v) => v ? v.toFixed(1) : '-' },
|
||||
{ key: 'reviews', label: 'Reviews', group: 'Sales', format: (v) => v?.toString() ?? '-' },
|
||||
|
||||
// Financial columns
|
||||
{ key: 'gmroi', label: 'GMROI', group: 'Financial', format: (v) => v?.toFixed(2) ?? '-' },
|
||||
{ key: 'turnover_rate', label: 'Turnover Rate', group: 'Financial', format: (v) => v?.toFixed(2) ?? '-' },
|
||||
{ key: 'avg_margin_percent', label: 'Margin %', group: 'Financial', format: (v) => v ? `${v.toFixed(1)}%` : '-' },
|
||||
{ key: 'inventory_value', label: 'Inventory Value', group: 'Financial', format: (v) => v?.toFixed(2) ?? '-' },
|
||||
{ key: 'cost_of_goods_sold', label: 'COGS', group: 'Financial', format: (v) => v?.toFixed(2) ?? '-' },
|
||||
{ key: 'gross_profit', label: 'Gross Profit', group: 'Financial', format: (v) => v?.toFixed(2) ?? '-' },
|
||||
|
||||
// Lead Time columns
|
||||
{ key: 'current_lead_time', label: 'Current Lead Time', group: 'Lead Time', format: (v) => v?.toFixed(1) ?? '-' },
|
||||
{ key: 'target_lead_time', label: 'Target Lead Time', group: 'Lead Time', format: (v) => v?.toFixed(1) ?? '-' },
|
||||
{ key: 'lead_time_status', label: 'Lead Time Status', group: 'Lead Time' },
|
||||
{ key: 'last_purchase_date', label: 'Last Purchase', group: 'Lead Time' },
|
||||
{ key: 'first_received_date', label: 'First Received', group: 'Lead Time' },
|
||||
{ key: 'last_received_date', label: 'Last Received', group: 'Lead Time' },
|
||||
];
|
||||
|
||||
// Define default columns for each view
|
||||
@@ -93,14 +134,17 @@ const VIEW_COLUMNS: Record<string, ColumnKey[]> = {
|
||||
'daily_sales_avg',
|
||||
'weekly_sales_avg',
|
||||
'monthly_sales_avg',
|
||||
'inventory_value',
|
||||
],
|
||||
critical: [
|
||||
'image',
|
||||
'title',
|
||||
'stock_quantity',
|
||||
'safety_stock',
|
||||
'daily_sales_avg',
|
||||
'weekly_sales_avg',
|
||||
'reorder_qty',
|
||||
'reorder_point',
|
||||
'vendor',
|
||||
'last_purchase_date',
|
||||
'current_lead_time',
|
||||
@@ -109,11 +153,13 @@ const VIEW_COLUMNS: Record<string, ColumnKey[]> = {
|
||||
'image',
|
||||
'title',
|
||||
'stock_quantity',
|
||||
'reorder_point',
|
||||
'daily_sales_avg',
|
||||
'weekly_sales_avg',
|
||||
'reorder_qty',
|
||||
'vendor',
|
||||
'last_purchase_date',
|
||||
'avg_lead_time_days',
|
||||
],
|
||||
overstocked: [
|
||||
'image',
|
||||
@@ -123,15 +169,19 @@ const VIEW_COLUMNS: Record<string, ColumnKey[]> = {
|
||||
'weekly_sales_avg',
|
||||
'overstocked_amt',
|
||||
'days_of_inventory',
|
||||
'inventory_value',
|
||||
'turnover_rate',
|
||||
],
|
||||
'at-risk': [
|
||||
'image',
|
||||
'title',
|
||||
'stock_quantity',
|
||||
'safety_stock',
|
||||
'daily_sales_avg',
|
||||
'weekly_sales_avg',
|
||||
'days_of_inventory',
|
||||
'last_sale_date',
|
||||
'current_lead_time',
|
||||
],
|
||||
new: [
|
||||
'image',
|
||||
@@ -141,6 +191,7 @@ const VIEW_COLUMNS: Record<string, ColumnKey[]> = {
|
||||
'brand',
|
||||
'price',
|
||||
'regular_price',
|
||||
'first_received_date',
|
||||
],
|
||||
healthy: [
|
||||
'image',
|
||||
@@ -150,6 +201,8 @@ const VIEW_COLUMNS: Record<string, ColumnKey[]> = {
|
||||
'weekly_sales_avg',
|
||||
'monthly_sales_avg',
|
||||
'days_of_inventory',
|
||||
'gross_profit',
|
||||
'gmroi',
|
||||
],
|
||||
};
|
||||
|
||||
|
||||
@@ -23,6 +23,30 @@ export interface Product {
|
||||
created_at: string;
|
||||
updated_at: string;
|
||||
|
||||
// New fields
|
||||
description?: string;
|
||||
preorder_count?: number;
|
||||
notions_inv_count?: number;
|
||||
harmonized_tariff_code?: string;
|
||||
notions_reference?: string;
|
||||
line?: string;
|
||||
subline?: string;
|
||||
artist?: string;
|
||||
rating?: number;
|
||||
reviews?: number;
|
||||
weight?: number;
|
||||
dimensions?: {
|
||||
length: number;
|
||||
width: number;
|
||||
height: number;
|
||||
};
|
||||
country_of_origin?: string;
|
||||
location?: string;
|
||||
total_sold?: number;
|
||||
baskets?: number;
|
||||
notifies?: number;
|
||||
date_last_sold?: string;
|
||||
|
||||
// Metrics
|
||||
daily_sales_avg?: string; // numeric(15,3)
|
||||
weekly_sales_avg?: string; // numeric(15,3)
|
||||
@@ -43,6 +67,7 @@ export interface Product {
|
||||
gross_profit?: string; // numeric(15,3)
|
||||
gmroi?: string; // numeric(15,3)
|
||||
avg_lead_time_days?: string; // numeric(15,3)
|
||||
first_received_date?: string;
|
||||
last_received_date?: string;
|
||||
abc_class?: string;
|
||||
stock_status?: string;
|
||||
|
||||
@@ -14,6 +14,9 @@ export default {
|
||||
}
|
||||
},
|
||||
extend: {
|
||||
fontFamily: {
|
||||
sans: ['Inter', 'sans-serif'],
|
||||
},
|
||||
colors: {
|
||||
border: 'hsl(var(--border))',
|
||||
input: 'hsl(var(--input))',
|
||||
|
||||
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user