What the Data for This Category Looks Like
Financial report data for the apparel and home textile industry mainly comes from regular periodic reports disclosed by the Shanghai and Shenzhen Stock Exchanges, and production and sales briefings released by domestic textile and apparel industry associations. The update schedule is as follows: annual reports are disclosed before April of the following year, semi-annual reports are disclosed before August of the same year, and monthly industry production and sales data is released with a 15-day lag. Most documents are in PDF format, with structures including consolidated income statement, category-specific revenue breakdown, inventory data, and channel operation information. Fields include brand-specific apparel and home textile category operating revenue (unit: RMB), inventory book value (unit: 10,000 RMB), number of direct-operated stores, total fabric procurement amount, and others.
Constraints Imposed on Model Access and Configuration
Category-specific revenue fields have inconsistent naming. Some reports use "brand apparel revenue" instead of the standard field name, so custom extraction rules are configured to match different naming formats. PDF documents contain nested charts and continuous multi-page layouts, so layout recognition and segmentation parameters are adjusted. Data update cycles are fixed and include a lag, so trigger frequency and cache validity periods for scheduled synchronization tasks are configured. Industry briefings are mostly unstructured text, so matching weights for keyword recall are set to ensure accurate extraction of core data.
How to Set Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_PDF_LAYOUT_MODE | complex | Apparel and home textile financial reports have nested charts and multi-page layouts. The complex layout mode preserves structured information |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single annual financial report PDFs include multiple category breakdowns, so file volume is relatively large |
CHUNK_SIZE | 800–1200 characters | Category-specific financial report data paragraphs are long. This range preserves the association between fields |
RECALL_TOP_K | Top 6–8 entries | There are many category-specific data entries, so core business fields need to be accurately recalled |
FIELD_EXTRACTION_MAPPING | Configure mapping rules according to financial report field aliases | Revenue field naming varies across different reports, allowing unified extraction of standard fields |
SYNC_CRON_EXPRESSION | 0 0 2 4,8 * * | Matches the disclosure schedule of annual reports in April and semi-annual reports in August, and executes data synchronization on a scheduled basis |
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 individual analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- After uploading some apparel and home textile financial report PDFs, the parsed fields are empty, while some PDFs can be recognized normally. The cause is that the PDF has an encrypted layer or scanned layout, and the OCR parsing mode is not triggered.
- After triggering a financial report analysis request, the model generates a general answer without calling the knowledge base. The cause is that the knowledge base trigger condition associated with financial report data is not configured, or the specified knowledge base data source is not bound.
- When trying to view the database table model, the field definitions for category-specific revenue cannot be obtained. The cause is that the database metadata synchronization switch is not enabled, or table permissions and field mapping rules are not configured.
How to Confirm Successful Configuration
- Upload a test apparel and home textile financial report PDF, check if the parsed text includes core fields such as category-specific revenue and inventory, to confirm that the parsing parameters are effective.
- After configuring the scheduled synchronization task, wait for the corresponding disclosure cycle, check if the database automatically updates the latest financial report data, to confirm that the synchronization rules match the disclosure schedule.
- Initiate a financial report analysis request, check if the returned result references the category-specific data in the knowledge base, to confirm that the knowledge base trigger condition is configured correctly.
- View the database metadata panel, check if the field definitions after custom mapping such as category-specific revenue and number of stores can be obtained, to confirm that the field mapping rules are effective.
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.