What the Data for This Category Looks Like
Financial lease financial statement data primarily comes from internal enterprise lease ledger systems, rent payment flow databases, leased asset valuation reports, and regulatory submission reports. Data update cadence follows a quarterly core cycle, aligned with external financial reporting disclosure periods. Daily lease business ledgers and rent records are updated daily. Document structures primarily use structured tables, including core fields such as lease principal, periodic rent amount, lease term, and residual value rate. Unstructured content such as lease ownership certificates and contract attachments is also included. Field units are mostly CNY yuan, months, or years. Some fields require linking multiple periods of data to form a complete analysis chain.
What Constraints Do These Characteristics Impose on Deployment and Upgrade
The multi-document and structured association features of financial lease financial statements create clear constraints for deployment and upgrade. A single quarterly financial statement may include dozens of associated files, leading to long parsing times. Sufficient server resources and timeout configurations must be reserved. Weight differences between structured fields directly affect analysis accuracy, so targeted vector recall matching rules must be configured. Batch quarterly data synchronization consumes significant storage and computing resources. Scheduled tasks must be paused during upgrades to avoid data conflicts. Mixed-format documents (Excel ledgers, PDF contracts, scanned files) require dedicated parsing plugins to prevent parsing failures after upgrades.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600-900 seconds | Financial lease financial statements include multiple associated files. Single-file parsing takes a long time. This avoids interrupting the complete parsing process due to timeout |
UPLOAD_FILE_MAX_SIZE | 2000 MB | A single quarterly financial statement may integrate multiple lease ledgers, contract attachments, and valuation reports. This adapts to large file upload requirements |
maxContext | 8000-12000 characters | Financial statement analysis requires linking multiple periods of rent data, contract terms, and leased asset information. Extending the context length covers complete analysis logic |
Number of Recalled Entries | Top 8-12 entries | Financial lease financial statements have tightly linked fields. Too many recalled entries will introduce irrelevant lease project data and interfere with analysis accuracy |
Similarity Threshold | 0.75-0.85 | Structured field matching requires high precision. This avoids mixing low-match irrelevant data into analysis results |
SYNC_CRON_EXPRESSION | 0 0 */6 * * * | Balances real-time updates of daily lease ledgers and batch synchronization of quarterly financial statements, and balances data timeliness and server load |
The parameter values provided on this page are general recommendations used as a starting point 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 Mistakes
- Phenomenon: After Docker deployment, accessing the specified address shows a spinning loading indicator followed by a failure, with status code 502 returned. Cause:
UPLOAD_FILE_MAX_SIZEis not configured to adapt to large file uploads, or container memory quota is insufficient, triggering OOM during financial statement parsing. - Phenomenon: When synchronizing financial statement data on a scheduled basis, some core fields (such as lease principal) return empty values. Cause: A reasonable
similarity thresholdis not set, causing low-match irrelevant lease project data to be filtered out, or thenumber of recalled entriesis configured too low, resulting in missing associated fields. - Phenomenon: After upgrading the service, the first load of the financial statement analysis page takes an excessively long time, or even times out. Cause: Scheduled synchronization tasks are not paused during the upgrade. Background batch data synchronization occupies significant server resources, blocking front-end page requests.
How to Confirm Configurations Are Properly Set
- Upload a single quarterly financial statement file. Allow parsing to complete, then verify that the parsed field list covers core lease business data items.
- Initiate a financial statement analysis request. Review the range of returned associated data, and adjust the
number of recalled entriesandsimilarity thresholdto a range aligned with analysis requirements. - View the running logs of scheduled synchronization tasks. Confirm that synchronization tasks trigger according to the preset cycle and have no abnormal errors.
- Modify the access context configuration, restart the service, and access the platform via the specified path. Verify that the page loads normally.
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.