What the data for this category looks like
Financial leasing research and investment data comes from internal business systems, public industry regulatory announcements, and publicly disclosed lessee information. Structured business data includes lease project number, lease asset type, initial principal, periodic rent amount, lease term duration, and guarantor name. Corresponding units are none, type, ten thousand yuan, ten thousand yuan, month, and name respectively. Update schedules follow these rules: structured rent transaction data is synchronized daily; unstructured due diligence reports and contract scan files are updated when a project is initiated; regulatory documents are updated quarterly. Documents are divided into two categories: structured field tables and unstructured attachments. A single due diligence report usually contains multiple pages of project details and lessee qualification descriptions.
What constraints these characteristics impose on database and operations work
Structured business data synchronizes rent transaction data daily. High-frequency write operations create database connection peaks. Optimize index structures to adapt to frequent queries by project number. Unstructured due diligence reports and contract attachments have wide variations in file size. Split metadata and file storage to avoid single-table bloat. Regulatory documents are updated quarterly. Configure scheduled synchronization tasks and retain version records to support retrospective review of historical compliance basis. Projects involve sensitive lessee information. Configure data isolation rules by project to prevent cross-project data leaks. Enumeration fields such as lease term duration and lease asset type require unified dictionary maintenance. Avoid query errors caused by inconsistent field values.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGO_CONNECTION_POOL_SIZE | 50–80 | Adapts to daily peak concurrent writes of structured data for financial leasing projects, avoids request timeouts caused by connection queuing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Meets large-file upload requirements for financial leasing contract scans and due diligence reports, prevents large file upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Covers parsing time for long-form due diligence reports, prevents file processing from being interrupted by early timeouts |
RECALL_TOP_K | 10–15 entries | Balances information completeness for research and investment recall and database query pressure, avoids excessive recall results increasing subsequent processing burden |
DB_INDEX_REFRESH_INTERVAL | 86400 seconds | Matches the daily update rhythm of structured rent transaction data, refreshes indexes daily to adapt to latest business data |
CONCURRENT_REQUEST_LIMIT | 30 | Adapts to internal database carrying capacity, avoids exceptions caused by exceeding external interface concurrency limits |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfiguration Mistakes
- Symptom: Clicking the create database button after local deployment results in no response or a
500 Internal Server Errorresponse. Cause: The MongoDB connection string is not configured correctly, or the local MongoDB service is not started, preventing initialization of the database instance. - Symptom: Model response latency increases significantly when concurrency rises. Logs show excessive MongoDB query latency. Cause: The
MONGO_CONNECTION_POOL_SIZEparameter is not adjusted. Insufficient connection pool capacity causes request queuing. Query indexes by project number are not optimized. - Symptom: After connecting to an external model interface, frequent
429 Too Many Requestsexceptions are returned. Cause: TheCONCURRENT_REQUEST_LIMITparameter is not configured. Concurrent request count is not restricted, exceeding the external interface's concurrency upper limit.
How to Confirm Proper Configuration
- Log in to the database management interface. Check for the database instance corresponding to financial leasing research and investment projects. Verify that connection configurations match the actual deployment environment.
- Upload a typical financial leasing due diligence report. Check that the parsing task completes within a reasonable duration, with no timeout or interruption errors.
- Send simulated requests at multiple times the daily peak volume. Check that the database connection pool can handle the load, with no connection timeout or request queuing logs.
- After configuring concurrency limits, send requests exceeding the limit. Check that rate limit prompts are returned, with no abnormal errors.
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.