What the data for this category looks like
Financial report data accessed by investment platforms mainly comes from periodic reports and temporary announcements of listed companies disclosed by public exchanges. Update cycles focus on disclosure windows at quarter-end and year-end, with occasional updates from emergency announcements. Documents include structured financial statements and unstructured management discussion and analysis. Fields cover net profit attributable to parent, non-recurring profit deduction, earnings per share, and more. Units are mainly RMB yuan, ten thousand yuan, and hundred million yuan. A single complete financial report document can be dozens of pages long.
What constraints do these characteristics impose on deployment and upgrade?
The mixed structure of financial report data increases parsing complexity. Deployment requires parsing engines configured for multiple document types. Concentrated disclosure update cycles create batch data processing pressure. Upgrades must reserve scheduling resources for batch synchronization. Multi-dimensional financial fields and specific unit requirements need field mapping and standardization configured before deployment. Frequent temporary emergency announcement updates need flexible incremental synchronization setup. This prevents resource waste from full re-scanning.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single financial report PDF or Excel document typically does not exceed 500 MB. Reserve sufficient redundancy for merged document scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Complex financial reports contain multi-page structured tables and long-text analysis content. Parsing time usually exceeds 300 seconds |
PARSE_CHUNK_SIZE | 1500–2000 characters | Financial report text contains dense financial terminology and numbers. Segment length adapts to terminology coherence and recall accuracy |
Recall Count | Top 10 entries | Financial report analysis needs to cover multi-dimensional financial indicators and business descriptions. Sufficient relevant paragraphs must be recalled |
Similarity Threshold | 0.75–0.85 | Precise matching of specific financial terminology in financial reports is required. Avoid recall of low-relevance non-financial content |
REALTIME_SYNC_INTERVAL | 3600 seconds during disclosure seasons, 86400 seconds during non-disclosure seasons | Adapts to high-frequency synchronization requirements during financial report disclosure windows. Reduces server load during non-disclosure periods |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three common errors
- Phenomenon: After Docker deployment on Windows systems, restarting the computer causes the workspace share link to fail. Cause: The FastGPT container is not configured to start automatically on boot, and the locally mounted session data directory is not persistently stored.
- Phenomenon: After upgrading to v4.8.20 or later, OneAPI local configuration files do not take effect. Cause: This version migrates model configuration to front-end interface management. Environment variables and local config files no longer read model access parameters.
- Phenomenon: After configuring the DeepSeek-R1 model, the preset deep thinking mode cannot be triggered. Cause: The chain-of-thought switch is not enabled in the model configuration, or the prompt matching rule for triggering deep thinking is not set.
How to confirm the configuration is complete
- Upload a single-quarter financial report document. Check the parsed text segment length to confirm it matches the
PARSE_CHUNK_SIZEconfiguration. - Trigger a batch financial report synchronization task. Check that the newly added data volume in the vector database matches the expected update scope.
- Restart the Docker container. Access the previously generated share link to confirm it opens normally and session data is not lost.
- Call the model to generate financial report analysis. Check whether the output correctly identifies and marks the corresponding units of financial fields.
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.