What this category of data looks like
Game investment research data sources include public financial reports from game developers, license approval announcements, research and development progress disclosures, player community comments, real-time live streaming data, and third-party industry research reports. Update frequencies vary. License information is updated in quarterly batches. Financial reports are updated on annual and quarterly cycles. R&D progress is disclosed irregularly. Player and live streaming data is synced in real time. Document structures combine structured and unstructured content. Structured fields include transaction volume, user counts, and similar metrics. Unstructured content includes research report sections and player comment paragraphs. Core fields include game name, launch date, transaction volume (units: ten thousand yuan, number of people), license number, and R&D team name.
What Constraints These Characteristics Impose on Conversation Logs and Auditing
Multiple heterogeneous data sources require conversation logs to be tagged with data source types. This prevents mixing investment research information from different channels. Differentiated update frequencies require auditing systems to support multi-granularity archiving by day, quarter, or year. This adapts to traceability needs for different data types. The mixed document structure requires logs to record both parsed structured field results and original unstructured text content. This ensures complete information can be retrieved during audits. Core fields with clear units require auditing steps to verify unit consistency. This avoids statistical deviations. Game investment research involves undisclosed R&D planning information. Permission control for conversation logs must cover both data source and role dimensions.
How to Configure the System
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Game investment research documents often include high-definition charts and long research report chapters, so larger file upload requirements must be supported |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Parsing long documents and multi-chart game research reports takes significant time, so extending the timeout threshold prevents interruptions |
maxAuditLogRetentionDays | 730 days | Investment research data must be retained long-term for compliance auditing and historical traceability, covering a full annual cycle |
auditLogPermissionScope | By department + data source classification | Game investment research data is categorized into developer-exclusive, industry-public, player data, etc., so permission scope must be subdivided |
logFieldCaptureRule | Automatically extract game name, transaction volume, license fields | Focus on core investment research fields to standardize log content for subsequent auditing and statistics |
fileParseChunkSize | 800–1200 characters | Paragraph lengths of game documents vary widely, so this range is suitable for segmented parsing |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to conduct testing with local samples before finalizing configuration settings.
Three Common Misconfigurations
- Phenomenon: A 503 error is prompted when uploading a game research report document on the conversation page, but the backend log shows the file upload was successful. Cause: The
UPLOAD_FILE_MAX_SIZEconfiguration value is smaller than the actual size of the uploaded document. The frontend triggers a current limit intercept, but the backend parsing process completes normally. - Phenomenon: A prompt of "No permission to operate this conversation record" appears when operating conversation records. Cause: The
auditLogPermissionScopeconfiguration is only open to designated R&D roles. Unauthorized accounts attempt to access investment research conversation logs across data sources. - Phenomenon: After upgrading to version 4.9.0, refreshing the conversation page causes historical conversation records to disappear, and a new conversation is displayed. Cause: No version-compatible parameter for
maxAuditLogRetentionDaysis configured. The timestamp field format of old logs is not recognized by the new system, causing the frontend to fail to load historical data.
How to Verify Correct Configuration
- Upload a single game research report document larger than 1500 MB, check that the frontend uploads normally and the backend has no 503 errors.
- Use a non-authorized role account to attempt to access investment research conversation logs from other departments, confirm that the prompt "No permission to operate this conversation record" appears.
- After upgrading to version 4.9.0, import old audit logs, refresh the page and confirm that historical conversation records are displayed normally.
- Initiate an investment research conversation with classification tags, check that the log automatically extracts the classification field and that call counts can be counted normally.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.