Interface 02 Demand

02 Express Orders, Products, and Attributes

中文 · Learning guide · Semantic guide

Turn One Order into Schedulable Requirements

A customer needs 120 blue brackets: 80 on day one and 40 on day two. Keep one order identity while expressing two due-date requirements.

Create product P-1 with record id=1. A product attribute column references an attribute record; it does not store the word “Blue” directly.

Table	id	name	code	value	is_key
property_1	1	Color	BLUE	1	1

product.id	name	code	vin	property_1	property_2	property_3
1	Blue bracket	P-1	FIN-P1	1	NULL	NULL

Here, property_1 represents color. The name identifies the dimension, code BLUE identifies blue, and numeric value 1 is its stable numeric representation. vin identifies the finished item to which the product belongs without determining assembly quantities. Key attributes distinguish products in demand. If a rule uses color, also confirm that the attribute has been loaded.

Create a Header and Two Lines

Order 1 in order_info has code O-100, description “Staged delivery of blue brackets,” and priority 0. Its creation time may retain the source timestamp.

order_item.id	information	product	delivery_time	number
1	1	1	1	80
2	1	1	2	40

information=1 references the header; product=1 references the product; delivery_time references lesson one's periods. Enter 80 and 40, rather than cumulative quantities 80 and 120. Any cumulative fulfillment calculation belongs to the subsequent model interpretation.

Map an Attribute to a Business Name

This data-acquisition fragment maps color to the attribute position used in this scenario:

context:
  inputs:
    data_acquisition:
      property_mappings:
        color: property_1

It is part of a capability-orchestration recipe, which combines data, parameters, and actions into a workflow; it is not a complete solving recipe. Another scenario may place color in a different attribute table while retaining the same explicit business meaning.

Check Your Work

Resolve all header, product, time, and attribute references. Confirm that the lines total 120 units and that cancellations or deliveries have been handled consistently. Keep ID-to-code conversion in the source mapping; the string P-1 cannot replace the integer product foreign key.

Different products on one order need separate product records. Do not mix color and customer grade in one attribute position. Adding dimensions requires coordinated template and loading changes; three tables are the current representation, not a design limit.

Exercise and Answer

The customer moves the second delivery to day three. Add a valid third time unit, then change the second line's delivery_time to its ID. Quantity remains 40. A nonexistent due-period reference is invalid even when total demand is correct.

That step checks the order-to-time reference only. To recalculate inventory, materials and capacity, update the related files below as well. Order demand, expected stock issues and candidate output are separate objects. This exercise issues goods on their due dates; that assumption is not universal.

File or table	Change for the three-period exercise
time_unit, order_item	Add (id=3, offset=2, scale=28800, status=1); move line 2's due time to 3
capacity	Add period 3 for work centers 11 and 12, each with used=0
scenario.json	Set period_issues to [80,0,40] in time_unit.offset order; opening stock remains 20
inventory_limit	Cumulative production lower bounds: 80,80,120; upper bounds: 160,160,200, representing ending stock between 20 and 100
kitting_information	Keep period 2 arrivals of 40 and 80; period 3 increments are zero, not cumulative supply of 120 and 240
manual_candidate.csv	Move both 40-unit period 2 output rows to period 3; no production in period 2

From the examples directory, build a complete extension in a separate folder:

python build_example.py --third-period --output-dir ./third-period-example
python check_example.py ./third-period-example/data.db
python calculate_candidate.py ./third-period-example

The builder applies the three-period SQL changes and updates JSON, candidate CSV and table CSV files together. It refuses to overwrite an existing database. When editing manually, maintain every item in the table. Editing an exported CSV does not automatically update data.db.

Expected cumulative output is 80,80,120, with ending stock of 20 in every period. Both aggregate_checks_passed and issues_match_due_quantities are true. There are no period 2 candidate rows; period 3 stamping and assembly take 100 and 80 minutes respectively. These are manual calculations, not solver results.

Adding only a time unit produces an errors message identifying the issue-plan length. Extending only the issue plan then identifies missing inventory limits or capacity records. Changing only the second order quantity from 40 to 400 produces a -360 difference in demand_issue_comparison; unchanged inventory arithmetic does not mean demand was met.

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