What This Category’s Data Looks Like
Data primarily comes from daily market reporting APIs of public commodity trading platforms and industry associations. The platform completes data aggregation for all daily varieties within 1 to 2 hours after market close. Each structured data document includes contract code, variety category, daily settlement price, daily trading volume, open interest, previous day’s settlement price, and daily price change value. Price units are yuan per ton. Trading volume and open interest units are trading lots. Unstructured daily report documents include daily market fluctuation commentary and full variety price change summaries. Each document typically includes cross-variety comparative content.
Constraints Imposed on Database and Operations Workflows
Multi-source data access creates inconsistencies in data formats and units. Implement a pre-validation step to align fields and units and prevent abnormal data from being stored in the database. The daily centralized aggregation update cycle requires database write throughput to adapt to peak-hour concurrent requests, avoiding write blocking. High-frequency query demands by variety and time dimensions require composite indexes for contract code, variety category, and update time fields. Control index write overhead at the same time. Associated storage of unstructured daily report documents and structured market data requires the database to support both structured queries and linked calls for object storage. Scheduling logic for daily full/incremental updates requires a retry mechanism to handle API call failures and prevent missing data updates.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGO_CONNECTION_TIMEOUT_MS | 30000 milliseconds | Network fluctuations during energy metal data aggregation periods may cause connection delays. A 30-second timeout balances connection reliability and response speed |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Energy metal daily report documents include multi-variety summary data, with long parsing times. A 15-minute timeout prevents mid-process interruptions |
RERANK_MODEL_MEMORY_LIMIT | 70% physical video memory | Adapts to vector recall and reranking computational load for energy metal daily reports, preventing rerank models from occupying system memory |
UPLOAD_WORKER_MAX_RESTARTS | 3 times | Batch upload tasks for daily data aggregation may fail due to network fluctuations. Limited restarts prevent infinite process crashes |
SSE_CONNECTION_CLOSE_TIMEOUT | 10000 milliseconds | Ensures database write operations complete within the timeout period after a conversation interruption, preventing loss of chat records |
MAX_CONTEXT_LENGTH | 8000 characters | Adapts to long-text analysis requirements for energy metal daily reports, preventing context truncation and loss of critical market information |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After deploying version 4.8.21 via Docker, the container runs normally but port 3000 cannot be accessed. Logs indicate a MongoDB connection failure, and manual verification of MongoDB account password login fails. Cause: The MongoDB connection string configured in FastGPT is not aligned with the actual deployed MongoDB instance version and authentication method. For example, using SCRAM-SHA-256 authentication for MongoDB 6.0 or later but retaining legacy authentication parameters in the configuration.
- Symptom: After the rerank model runs, video memory usage continues to rise, eventually occupying system memory and causing the container to exit with OOM. Cause: The
RERANK_MODEL_MEMORY_LIMITparameter is not configured to limit video memory usage, or the limit ratio is set too high, failing to reserve memory space for the system and other services. - Symptom: After the client closes the SSE connection, incomplete conversation replies are not written to the database, resulting in missing chat records. Cause: A reasonable
SSE_CONNECTION_CLOSE_TIMEOUTparameter is not set, or the timeout period is too short, forcing termination of database write operations before they complete.
How to Verify Proper Configuration
- Run a single batch import task for energy metal daily report data, check database write logs, confirm there are no connection timeout or write blocking errors, and verify that index creation status matches the configured settings.
- Start the rerank model for testing, use system monitoring tools to check video memory usage ratio, confirm it does not exceed the preset limit, and there are no memory overflow alerts.
- Simulate a client interrupting the SSE connection, check whether the database has fully written the current conversation’s context and reply content, and verify that the timeout parameter takes effect.
- Check scheduled task scheduling logs, confirm that daily data aggregation tasks complete at the preset time, with no duplicate data or missing updates.
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.