What the data for this category looks like
Financial report data for the computer equipment category comes primarily from public periodic reports disclosed by listed companies, official exchange platforms, and industry-specific statistical databases. Update cadence follows quarterly and annual periodic disclosures, with temporary updates for major asset purchases, disposals, and similar events. Each individual financial report document includes two main parts: consolidated financial statements and explanatory notes. Core fields include original fixed asset value, operation and maintenance costs, equipment purchase unit price, and installed capacity. Common units are RMB yuan, units, and units/sets. The notes supplement equipment classification details and depreciation policy specifics.
What constraints these characteristics impose on deployment and upgrade
The multi-source, scattered nature of this category’s financial report data requires configuring multi-data source synchronization adapters during deployment, to prevent analysis interruptions caused by single data source outages. The combined periodic and temporary update rhythm demands both scheduled synchronization tasks and event-triggered incremental update rules. The upgrade process must be compatible with newly added temporary disclosure data sources. The complex document structure and multiple field units require presetting field mapping and unit conversion rules during deployment. During upgrades, parsing logic for classification details must be updated synchronously, to ensure segmented parsing of long-text notes meets retrieval recall accuracy requirements.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single computer equipment financial report includes long-text notes, standard timeout durations cannot complete full parsing |
Segment Length | 800–1200 characters | Balances semantic completeness of long text and retrieval recall accuracy, avoids semantic fragmentation of technical terms from overly short segments |
RECALL_TOP_K | Top 15 results | Computer equipment financial reports cover multiple equipment details and financial fields, requiring sufficient coverage of relevant retrieval snippets |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to storage and batch parsing requirements for single complete financial report documents |
EMBEDDING_MODEL | text-embedding-3-large | Supports long-text embedding, adapts to complex professional semantics in financial report notes |
SYNC_INTERVAL_HOURS | 24 hours | Matches the regular disclosure cycle of quarterly financial reports, and supports manual triggering of temporary updates |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: An error occurs after creating a simple application and enabling the file upload function. Cause: The
UPLOAD_FILE_MAX_SIZEparameter is not adjusted to adapt to the actual size of computer equipment financial report documents, and large-size file uploads are blocked by the system. - Phenomenon: The PostgreSQL service restarts continuously after Docker deployment. Cause: Connection pool parameters are not configured to adapt to the synchronization request volume of multi-source financial report data, leading to service crash and restart due to exhausted connection pools.
- Phenomenon: Retrieval response delay increases significantly after knowledge base question answering reranking. Cause: The set number of reranked return entries and recall entries are too large, and the segment length for financial report long text is not matched, leading to excessive computational load during the reranking stage.
How to Confirm Proper Configuration
- Upload a single computer equipment financial report document, verify the completion status of the parsing task. Adjust the corresponding timeout parameter if the task does not complete.
- Submit a question-and-answer request covering equipment details and cost fields, verify the coverage of relevant fragments in the returned results, and adjust recall and segment configuration as needed.
- View data source synchronization logs, confirm that scheduled synchronization tasks execute according to the preset cycle, and that temporary updates can be manually triggered to load the latest disclosed data.
- Check the database service running status, confirm there are no abnormal restarts, and adjust connection pool parameters to adapt to synchronization request load.
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.