What the data for this category looks like
Data sources for refining and petrochemical financing daily reports include oil and petrochemical industry supply chain financing platforms, refined product transaction financing records from spot exchanges, and corporate credit filing systems. Updates follow a daily schedule. Full financing data for the previous day is generated each current day. The documentation centers on a structured table, with a single-enterprise financing details attachment. Standard fields include: enterprise unified social credit code, credit limit (ten thousand yuan), number of same-day financing transactions, range of single financing amount (ten thousand yuan), financing term (days), and proportion of core refined and petrochemical products. All fields use standardized enumeration or numeric types, with no free-text redundant fields.
What constraints these characteristics impose on deployment and upgrade
The structured nature of refining and petrochemical financing daily reports requires precise field mapping rules during deployment. This avoids parsing failures caused by non-standardized fields. The fixed daily update schedule requires cron expressions for scheduled synchronization tasks to match the data generation cycle. During upgrades, synchronization tasks must not be interrupted. An interruption will cause missing daily data. The large single-data volume and multiple fields require vector database index configurations to accommodate longer single-data lengths. Recall parameters must also be adjusted to balance context length and recall coverage. The need for multi-data source access requires multiple database connection pools during deployment. This prevents interference between synchronization tasks for different data sources.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SYNC_CRON | 0 1 0 * * ? | Matches the synchronization cadence of executing at 00:01 daily, to complete data synchronization after the day's refining and petrochemical financing daily reports are generated |
VECTOR_SEARCH_TOP_K | 10-15 | Refining and petrochemical financing daily reports have many fields and large single-data volume. This range balances recall coverage and context length limits |
PARSE_STRUCTURED_DATA | Enabled | Financing daily reports use structured table data. Enabling this setting automatically recognizes field mapping and reduces manual configuration workload |
UPLOAD_FILE_MAX_SIZE | 2000 MB | A single refining and petrochemical financing daily report may include monthly summary attachments for multiple enterprises, requiring support for larger file uploads |
MONGODB_CONNECTION_TIMEOUT | 30000 milliseconds | Database connections may experience delays during multi-data source synchronization. Extending the timeout period prevents synchronization task interruptions |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require on-site analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- The symptom is that the number of vector recall results deviates beyond the preset range. The cause is failing to adjust the
VECTOR_SEARCH_TOP_Kparameter based on the number of fields in the refining and petrochemical financing daily reports. An excessively high value causes context overflow, while an excessively low value fails to cover key financing fields. - The symptom is a
MongoDB connection timeouterror during deployment. The cause is failing to adjustMONGODB_CONNECTION_TIMEOUTto a value suitable for multi-data source synchronization. The default timeout period is too short, causing synchronization task interruptions. - The symptom is that the local area network Qwen model cannot be called normally. The cause is failing to fill the local access key for the corresponding model in the
CHAT_API_KEYconfiguration item, or failing to open network permissions for the model service port, preventing FastGPT from establishing a connection.
How to confirm the configuration is complete
- Execute a manual synchronization task, check the synchronization logs for field mapping failure prompts, and confirm that all fields of the refining and petrochemical financing daily reports are correctly identified.
- Initiate a test query containing keywords related to refining and petrochemical financing, check whether the number of vector recall results falls within the preset range of
VECTOR_SEARCH_TOP_K. - Check the execution records of scheduled tasks, confirm that all daily synchronization tasks at 00:00 are successfully completed with no error logs.
- Call the configured local area network model interface, verify that the returned reply contains relevant field information of the refining and petrochemical financing daily reports, and confirm that the model call link is working properly.
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.