What the Data for This Category Looks Like
Financial report data for the apparel accessories category primarily comes from publicly disclosed periodic report PDF and HTML files of listed companies on the Shanghai and Shenzhen Stock Exchanges, plus quarterly production and sales data released by some industry associations. The data update schedule aligns with disclosure cycles: periodic reports are released quarterly and annually, while public industry data is updated quarterly.
Documents typically separate accessories-related operating data in the "Main Business Product Breakdown" section, including fields such as revenue, inventory turnover period, and number of stores. Revenue is denominated in legal tender, inventory turnover period is measured in natural days, and number of stores is counted in units of stores.
Constraints on Tool Calling and Plugins
The characteristics of financial report data for the accessories category create multiple constraints for the tool calling and plugins workflow. First, the data comes from structured product breakdown tables. Tools must accurately locate content in specific sections to avoid mixing in data from other textile and apparel subcategories. Second, the data updates on a quarterly and annual cycle. Plugins must use scheduled triggers that align with disclosure cycles to avoid frequent calls to invalid data sources. Third, some companies combine accessories and other jewelry categories in their disclosures. Keyword filtering rules must be configured to limit extraction to only accessories-related entries. Fourth, data sources come from official disclosure pages. The range of parsable domains must be restricted to ensure consistent and reliable data formats.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
table_extract_keywords | Jewelry, Ornaments | Mainland China listed accessories company financial report product breakdown tables typically include these two keywords, allowing accurate targeting of desired data |
parse_timeout | 300 seconds | Accessories financial report PDFs typically contain multiple pages of product breakdown operating data, leading to longer parsing times and avoiding timeout interruptions |
plugin_schedule_cron | 0 0 2 1 */3 * | Mainland China listed companies disclose financial reports quarterly. Latest public data becomes available on the 2nd day of the first month of each quarter, aligning with disclosure cycles |
api_cors_allow_origins | ["https://your-deploy-domain.com"] | Configures frontend domains allowed for cross-origin requests from the server, complying with browser same-origin policy requirements |
db_query_filter | product_category = "Jewelry" | Filters database results to only include operating data for the accessories category, avoiding mixing in data from other textile and apparel subcategories such as clothing or home textiles |
custom_url_allow_list | ["*.sse.com.cn", "*.szse.cn"] | Only allows parsing of financial report links from official stock exchange disclosure pages, ensuring consistent and reliable data formats |
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. Each scenario requires specific analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Configuration Mistakes
- When using a custom URL for financial report parsing, the interface shows no errors but returns empty data. The cause is failure to add the target stock exchange domain to the
custom_url_allow_listconfiguration item. The server blocks non-whitelist request links. - After a workflow runs, the model-generated financial report analysis result does not include a downloadable document. The cause is failure to connect a document generation plugin to the workflow, or failure to configure the plugin's output format parameters.
- A call to the database query plugin fails. Logs show no matching data. The cause is failure to configure the
db_query_filterfiltering rule, or a mismatch between the field name in the filter condition and the database table structure.
How to Confirm Proper Configuration
- Upload a public financial report PDF from an accessories company, and use the document parsing tool to verify that only operating data from the accessories section is extracted. Cross-check the extracted fields against the content in the financial report.
- Manually trigger a plugin task, and check the task logs to confirm that financial report data was successfully obtained, and that the data range does not include other textile and apparel subcategories.
- After configuring the frontend call domain, use the browser console to check if API requests return normal data, confirming that cross-domain restrictions have been lifted.
- Run a workflow that includes the database query plugin, and verify that returned results only include operating data for the accessories category, with no entries from unrelated categories.
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.