What the data for this category looks like
Game investment research data sources include public financial reports from game developers, official game license approval announcement documents, store page data from game store platforms, player community comments, public information from industry exhibitions, and more. Update frequencies vary widely: real-time data such as store page ratings and download volumes is updated frequently. License approval information is released in fixed batches. Financial report data is updated quarterly or annually. Industry research reports are released irregularly alongside industry trends. Document structures include structured files and unstructured long text. Structured files contain fields such as approval number, approval date, revenue, and user scale. Units are mostly ten thousand yuan and person-times.
What constraints these characteristics impose on deployment and upgrade
The mixed multi-source data, varied update frequencies, and combination of structured and unstructured content for game investment research create multiple constraints for deployment and upgrade. Multi-source data requires configured differentiated access rules. Upgrades must be compatible with parsing templates for different data sources. Different update frequencies require flexible configuration of scheduled synchronization tasks during deployment. Upgrades must not disrupt existing scheduling logic. Structured data field extraction needs to adapt to field rules unique to the game category. Upgrades must retain compatibility with older template versions. Game investment research data may also involve sensitive internal information from developers. Permission control modules for private deployments must remain stable during upgrades to avoid data leakage risks.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Game investment research files include long research reports and financial report tables. Single-file size is typically larger than general documents |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Parsing long-text research reports and batch license approval data requires longer processing time |
SYNC_CRON_EXPR | Set "0 */10 * * * *" for real-time data sources, "0 0 2 * * *" for financial report data sources | Significant differences in update frequencies across data sources require matching synchronization schedules |
Recall Count | Top 8-12 entries | Game investment research needs to cover multi-dimensional information including competitors, market trends, and user feedback. Too few or too many entries are not suitable |
LOCAL_OLLAMA_ENDPOINT | http://localhost:11434 | Default access address for local large model calls during private deployments |
Similarity Threshold | 0.72-0.78 | Semantic differences between investment research texts for the game category are large. Adjust the threshold to balance recall precision and coverage |
The parameter values provided on this page are common recommended 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 test on samples specific to the deployment before finalizing settings.
Three Common Mistakes
- Symptom: A
curl --locationrelated error occurs when running the upgrade script when upgrading from4.8.17to4.9.0. An errorERROR: failed to solve: failed to checksum fiis displayed during image building. Cause: Incomplete image pull due to local network fluctuations, or expired files in the Docker cache, leading to checksum failure. - Symptom: Connection timeout is returned when accessing local Ollama after Docker private deployment. Cause: The
LOCAL_OLLAMA_ENDPOINTparameter is not configured correctly, the local Ollama service is not started, or the firewall blocks access to port 11434. - Symptom: The revenue field extracted from an uploaded game quarterly financial report file is empty. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted to a duration suitable for long-text parsing, causing the parsing process to terminate early and fail to complete field extraction.
How to Confirm Configuration is Complete
- Run the local image build command, check for file checksum-related errors to confirm the image build process operates normally.
- Enter the knowledge base management interface, manually upload a game research report file, and check if the parsed structured fields are fully extracted.
- After configuring Ollama access, initiate an investment research query to check if a response based on the local model is returned normally.
- View the synchronization task logs to confirm that synchronization tasks for different data sources are triggered on schedule per the preset
SYNC_CRON_EXPR.
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.