What the Data for This Use Case Looks Like
Coke market and yield data comes primarily from the official market API of the Dalian Commodity Exchange and compliant bulk commodity information data sources. Update cycles include 15-minute intraday snapshots during trading hours, and a full daily yield report document generated after each trading day closes. Each daily report uses a structured format, including fields such as contract identifier, daily opening price, daily closing price, daily settlement price, price change value, position volume, trading volume, etc. All price-related fields use the unit yuan/ton.
Constraints Imposed by These Characteristics on Deployment and Upgrade
Configure automatic retry and failover mechanisms for multiple data sources during deployment. This prevents market report outages when a single data source interrupts. Use lightweight scheduled tasks for 15-minute intraday data pulls during trading hours. This avoids excessive server computing and bandwidth resource consumption. Reserve sufficient memory and CPU resources for full daily yield report generation tasks after market close. This prevents timeouts caused by large data processing volumes. Do not adjust data parsing rules arbitrarily during upgrades. Fixed fields and units require this to ensure subsequent report logic can read data properly. Configure appropriate archiving and cleanup policies for long-term historical market data storage. This prevents database storage space from being exhausted.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_DATA_TIMEOUT_SECONDS | 600 seconds | The full daily report data volume for coke is large after market close. A 600-second timeout covers the complete parsing process |
FETCH_INTERVAL_MINUTES | 15 minutes | Matches the 15-minute update cadence of coke intraday data, avoids excessive requests to data sources |
MAX_CONCURRENT_PARSE | 5 concurrent tasks | Coke daily report generation tasks consume relatively high resources. 5 concurrent tasks balances resource usage and task completion efficiency |
HISTORY_DATA_RETENTION_DAYS | 180 days | Raw full historical coke market data does not need long-term retention. A 180-day cycle controls storage space usage |
MAX_CHAT_CONCURRENT | 10 concurrent requests | Matches the concurrency requirements of deployed scenarios, avoids request queuing and blocking |
OPENAI_API_TIMEOUT | 30 seconds | A 30-second timeout avoids long-term blocking of tasks when calling APIs to generate report content |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data volume, business rules, and material form. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Database service fails to start after power outage and restart. Performance includes MongoDB connection refusals and PostgreSQL startup failures. Cause: For FastGPT V4.9.1, automatic restart policies and data volume persistence for containers are not configured. Container state and data files are not saved correctly after a power outage.
- Symptom: User requests exceeding the set concurrency limit remain in a loading state and do not receive responses. Cause: The
MAX_CHAT_CONCURRENTparameter value is not adjusted. The default concurrency limit is too low to match the actual requirements of the deployed scenario. - Symptom: Daily yield report generation fails. Logs show data parsing timeouts. Cause: The
PARSE_DATA_TIMEOUT_SECONDSparameter is not adjusted to a value suitable for full coke data. The default timeout period is too short, causing parsing to not complete.
How to Verify Successful Configuration
- Manually trigger an intraday data pull task. Verify that returned fields match the preset parsing rules, and confirm that the pull interval configuration aligns with the data source update cadence.
- Check container restart policy configurations. Confirm that persistent restart rules are enabled. Verify that databases and core services start normally after a power outage restart.
- Initiate multi-user concurrent requests. Observe request processing status to confirm that concurrency configurations match the actual usage requirements of the current deployed scenario.
- Trigger a full daily report generation task. Verify that task execution time does not exceed the preset timeout threshold. Confirm that reserved resources meet data processing requirements.
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.