What the documents look like
Near-expiry markdown handling follows the shelf-life cycle of stock rather than the weighing of individual order lines. The working records are the near-expiry list, the markdown approval, the damage report, and the promotional price tag, and the supporting data arrives from POS stock age, store inspection, ERP inventory, and quality inspection records on a daily or shift basis. For operating reports and exception review, the conversation log and audit step matches those four documents against session records. Each document carries a subject, an object, and a state, and a comparison holds only when the subject, the period, and the field all agree.
This step covers session identity, run detail, and field retention. It does not perform approval, damage write-off, or price-tag execution. The existence of a log entry does not mean a compliance audit is complete; reconciliation and retention requirements belong to a full business solution implemented elsewhere.
Constraints at the conversation logs step
Session identity relies on chatId to separate one conversation from another. When a target conversation is matched against a business record, sessions from different entry points must not be pooled into one total. Where run detail is needed, detail is set according to the official contract and the module status and complete result inside responseData are inspected; with detail=false the intermediate values are not returned. Business data that is not returned cannot be treated as fully retained. Identity fields in a test mode and in a formal call may differ, so input, history, and returned content are checked separately.
Hypothetical drill sample: Store A submits a near-expiry list on 10 March 2026, with the original text reading "Store A, 2026-03-10 shift, object is chilled yogurt batch Y-0310, state is pending markdown approval, effective scope limited to before 18:00 on the same day." Under the same chatId there is a separate draft handover sentence: "This batch has been approved, please execute against the new price tag and synchronize the damage report." The subject, object, state, and effective scope needed for the judgment are present in the original text. The approved state is not recorded in the material and remains to be verified.
Configuration and implementation checks
The table below is built around that sample and lists documented settings or implementation checks relevant to this page. The values are starting points for this hypothetical exercise, used for comparison against the sample's actual values, and are not official defaults.
| Configuration item | Hypothetical starting point | Check method and reason |
|---|---|---|
| appId | Sample application identifier | Checked together with chatId to confirm the session belongs to one application |
| chatId | Sample session identifier | Length under 250, kept unique, separating sessions from different entry points |
| detail | true | Set when intermediate values in responseData are required; with false they are not returned |
| stream | false | In non-stream mode the result is held in responseData, which supports field-by-field comparison |
| responseChatItemId | Sample response identifier | Unique under the current chatId, used to locate this conversation record |
| loadCustomFeedbacks | true | Reads custom feedback so the feedback field in the conversation record can be checked |
Three common errors
- Merging sessions with different chatId values into one calculation. If Store A's list and a session from another entry point share one statistical basis, the subject and period become misaligned. The check supplies two chatId values, compares the dataId and content returned for each, and observes whether they are folded into one session.
- Treating a detail=false response as a complete run detail. In that case responseData is absent and module status cannot be checked. The check calls the same request once with detail=true and once with false, then compares the returned structures for the presence of responseData and its module fields.
- Treating "has been approved" in the draft sentence as an established fact. The sample original text states only "pending markdown approval," and the approval state is not recorded. The check supplies the draft sentence and the list original text, compares the state field, and observes whether subject, period, and field agree; where they do not, the item is recorded as pending verification.
How to verify the setup
- Supply the sample original text and the draft sentence, then compare the four fields of subject, object, state, and effective scope. Expected observation: subject and object agree, while the state field reads pending approval in the original and approved in the draft. The two differ, so the draft is judged unsupported and cannot serve as an execution basis.
- Call the sample chatId with detail=true and stream=false, then check whether responseData contains module status and the complete result. Expected observation: the returned structure holds a responseData array in which module name and running time can be compared item by item; if it is absent, this call does not meet the condition for a run-detail check.
- Call the conversation list interface for the sample chatId and compare the returned dataId with responseChatItemId. Expected observation: the two correspond to the same conversation record, and the feedback field is returned according to the loadCustomFeedbacks setting; if the identifiers do not match, the gap is recorded and the record is not presumed to be fully retained.