tradon/modules/purchase_trade/docs/business/sql

SQL diagnostics for purchase_trade business rules

These scripts are read-only diagnostics for a PostgreSQL test database.

They exist to support the same business rules enforced by Python guards. The expected workflow is:

1. write the consultant/developer rule in the thematic documentation;
2. enforce the invariant in the application code when feasible;
3. provide a read-only SQL diagnostic to audit existing data.

quantity_consistency_checks.sql

Checks the two core lot quantity invariants documented in lots-and-quantities.md and lots-and-quantities.en.md.

Zero lot_qt rows are ignored completely. They are treated as legitimate memory of an open quantity consumed by a physical lot. This is required because lot_qt represents usable open forecast and stops at zero, while the virtual lot may become negative to compensate the difference between theoretical and executed quantity. A non-zero lot_qt row without both lot_p and lot_s is reported as anomalous.

Run it on a restored test database:

\i modules/purchase_trade/docs/business/sql/quantity_consistency_checks.sql

The script returns rows only when it finds a potential issue.

Main columns:

• check_name: invariant or diagnostic that failed.
• contract_model: purchase.purchase or sale.sale.
• contract_id: database id of the contract.
• contract_number: purchase or sale contract number.
• line_id: purchase.line or sale.line id depending on the check.
• virtual_lot_id: virtual lot involved in the inconsistency.
• observed_value: value found in the database.
• expected_value: value required by the business rule.
• diff: observed minus expected.
• detail: human-readable explanation.

Cross-category UoM rows are reported as manual-review diagnostics because the Python code may pass explicit conversion factors that cannot be inferred safely from SQL alone.