What this category’s data looks like
Refined oil product sales policy and regulatory basis data mainly comes from industry supervision documents issued by the National Energy Administration and the Ministry of Commerce. It also comes from interim measures for refined oil product market management across regions, and internal compliance manuals of petroleum and petrochemical enterprises. Data updates have no fixed cycle. Updates are synchronized when new supervision policies are issued or local regulations are adjusted. Individual documents are mostly structured text of 3000 to 8000 characters. Fields include document number, issuing authority, effective date, applicable region, clause details, and penalty provisions. Units involved include industry-specific measurement identifiers such as liters, tons, yuan per liter, and kiloliters.
Constraints during deployment and upgrade
Long document length and complex fields for refined oil product sales policy documents require reserving sufficient vector database storage space during deployment. This prevents indexing failures caused by excessive character volume in individual documents. No fixed data update cycle requires the upgrade process to support incremental synchronization configuration. This avoids excessive resource consumption from full reindexing. Industry-specific measurement units require configuring precise metadata mapping rules during deployment. This ensures correct matching of policy clauses during retrieval. Cross-regional policy differences require completing partitioned storage configuration for multi-region policy libraries during deployment. This avoids retrieval confusion.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 100–150 per minute | Control database connection concurrency to avoid overload, given the large character volume of individual refined oil policy documents |
MONGODB_URI | mongodb://user:pass@host:27017/fastgpt?authSource=admin | Store policy document metadata and vector indexes. Specify a dedicated database instance to isolate business data |
REDIS_URL | redis://:password@host:6379/0 | Cache frequently retrieved policy clauses. Reduce database query pressure. Adapt to data sources with no fixed update cycle |
STORAGE_S3_ENDPOINT | Fill in according to local object storage address | Store original policy documents and backup copies. Adapt to internal enterprise storage architecture |
ROOT_KEY | 32-bit random string generated according to internal enterprise key management rules | Configure platform administrator permissions. Avoid security risks caused by default keys |
Three common errors
- Symptom:
TypeError: Cannot read properties of undefinederror appears after upgrading to FastGPT v4.17.0. Cause: TheREDIS_URLconfiguration item was not synchronously updated. Abnormal cache connection triggers reading of undefined properties. - Symptom:
Error response from daemonerror is returned when deploying with Docker Compose. Cause: Insufficient disk space reserved for storing policy documents and vector indexes. Or insufficient permissions for the database instance specified in theMONGODB_URIconfiguration. - Symptom: Knowledge base search response times out. Result count does not match expectations. Cause: The
DB_MAX_LINKconfiguration was not adjusted. Excessive concurrent connections cause database response delays. Or multi-region policy library partition was not configured. This leads to an overly large retrieval scope.
How to verify correct configuration
- Run the
docker logs fastgpt-webcommand. Check for no error logs related to database connections. Confirm theMONGODB_URIandREDIS_URLconfigurations are valid. - Upload a refined oil product policy document. Wait for indexing to complete, then run a retrieval test. Confirm matching results include correct fields such as document number and effective date.
- View vector database storage capacity monitoring. Confirm the
DB_MAX_LINKconfiguration does not cause connection pool overflow. - Run an incremental synchronization test. Confirm new policy documents are automatically indexed. No full reindexing is triggered.
The values provided here are common starting points. They should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.