This page applies to FastGPT v4.17.0.
What Data Looks Like for This Use Case
Daily data for game design and numerical design originates from player behavior data, public competitor materials, battle logs, and version feedback. Data updates follow weekly or per-version cycles. Daily documents include gameplay design documents, numerical tables, version requirement sheets, and balance test records. Document structures vary widely. Numerical tables are multi-column structured data. Design documents are text-based rule descriptions. Fields have no unified fixed units. Depending on specific design requirements, they include metrics such as damage values, retention rates, and version identifiers.
Constraints Imposed on Scheduled Tasks and Automation
Data sources for this use case are scattered, and update cycles are inconsistent. Scheduled pulling of multi-source heterogeneous data is required. Task trigger frequencies must align with weekly or version milestones to avoid redundant execution or missed critical data. Document structures are diverse, including structured numerical tables and unstructured design text. Automated processing must support splitting and parsing logic for different formats. Fields have no unified units. Format validation must be completed before automated processing to prevent numerical parsing errors. Errors in this stage can lead to gameplay imbalance and version rework. Failure retry and alert mechanisms must be configured to ensure task stability.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Task Trigger Cycle | Trigger on a weekly or per-version milestone, optional 168 hours or per-version milestone trigger | Aligns with the weekly/per-version update frequency of this use case, avoids redundant execution or missed critical data |
| Data Source Pull Range | Pull battle logs and player feedback data from the past 7 days or current version | Matches the data update rhythm of this use case, reduces processing scope to improve execution efficiency |
| Document Chunking Rule | Chunk by single numerical entry or single design document fragment, chunk length 800–1200 characters | Adapts to the numerical table and design document structure of this use case, prevents splitting from breaking rule integrity |
| Failure Retry Count | Retry up to 3 times, retry interval 60 seconds | Addresses temporary network fluctuations or temporary data source unavailability, prevents data chaos from repeated execution |
| Alert Trigger Threshold | Trigger an alert when 2 consecutive task executions fail | Detects task anomalies promptly, avoids impacting version release schedules |
| Task Execution Timeout | Set to 1800 seconds | Accommodates the time required for multi-source data pulling and document processing, prevents tasks from hanging indefinitely |
Three Common Configuration Mistakes
- Issue: Multi-column numerical tables become fragmented after import, with single-row data split into multiple segments. Cause: No row-based chunking rule is specified, and the default automatic chunking logic breaks the structural integrity of numerical tables.
- Issue: The publishing notes API called via workflow returns empty values. Cause: Task trigger timing occurs before data source updates complete, and no data source readiness validation step is configured.
- Issue: Expected operations reports are not generated after scheduled task execution. Cause: Incorrect data source pull range is configured, and current version battle logs or player feedback data are omitted.
How to Confirm Configuration Is Complete
- Manually trigger a test task, and verify that the number of data source entries pulled in the logs matches the preset pull range.
- Review generated document fragments, and confirm that each row of numerical tables is processed as an independent chunk.
- Simulate a task execution failure scenario, and confirm that the alert mechanism triggers correctly.
- Check the report content output by the task, and confirm that it includes numerical metrics and gameplay rule descriptions required for the current version.
All configuration values listed here are common starting points. They should be validated against your own specific samples and use cases.
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.