What this category of data looks like
This category of data comes from four main sources: game operation backends, player segmentation systems, payment data platforms, and activity log systems. Daily deliverables include activity plans, reward configuration tables, launch checklists, and activity retrospective materials. Data updates follow a weekly cycle, or temporary adjustments ahead of holiday events. Data fields include activity unique identifiers, player account identifiers, reward types, issuance times, configuration values, and operator information. There are no universal fixed units. Units vary based on the type of configuration item.
Constraints for conversation logs and auditing workflows
The decentralized structure of this data requires conversation logs to link activity unique identifiers, player account identifiers, and operator information. This enables cross-system fault tracing. The fast, frequent temporary updates require audit logs to keep full operation chains. Do not automatically truncate historical records. Diverse document types require logs to map accurately to fields from activity plans and reward configuration tables. For example, link reward value and event time modification operations to their corresponding document versions. Multi-user collaborative work needs logs to separate operations from different operators. This prevents configuration actions from different operations staff from being mixed up. Faults impact player experience and revenue. Audit logs must include configuration snapshots taken before and after changes. This supports side-by-side comparison during retrospectives.
How to set configurations
These configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Activity-associated log binding | Bind chatId as the activity unique identifier | Quickly locate all configuration operation records for a single activity |
| Operation detail storage | Enable full storage of the detail field | Retain snapshots before and after configuration modifications, to support fault tracing |
| Multi-user log differentiation | Associate operator accounts via responseChatItemId | Distinguish configuration operations from different operations staff, avoid record confusion |
| Historical record pagination limit | Set a single return limit of the first 20 entries | Adapt to the page loading rhythm of operation backends |
| Log retention period | Retain logs for 180 days | Cover the time span of regular activity retrospectives and fault troubleshooting |
| Invalid operation filtering | Only record operations such as reward configuration and activity time modification | Reduce storage and retrieval overhead for non-essential logs |
Three common configuration errors
- Phenomenon: Configuration operation records from different operations staff appear in the same log list. Users cannot quickly locate actions from a specific person. Cause:
chatIdis not bound to operator accounts. Only global log identifiers are used to distinguish records. - Phenomenon: Searching for configuration logs for a specific activity returns many unrelated player conversation records. Cause:
chatIdis not bound to the activity unique identifier. Logs are not linked to the activity dimension. - Phenomenon: Specific configuration values before and after changes cannot be viewed during retrospectives. Cause: The
detailfield storage is not enabled. Only operation types are recorded, with no details retained.
How to verify correct configuration
- Enter the unique identifier of a target activity, search the log list, and confirm only records related to that activity are returned.
- Select any recorded configuration modification, view the detail field, and confirm it includes pre- and post-modification configuration values and operator information.
- Switch to a different operator account, search logs, and confirm only records from that account are displayed.
- Trigger a configuration modification, confirm the system generates a matching log record, and that the
responseChatItemIdfield is properly generated.
The values given are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.