What the Data for This Category Looks Like
Personal care products financial report data primarily comes from annual and quarterly reports of listed companies publicly disclosed by domestic and overseas stock exchanges, as well as monthly operational briefings publicly released by leading brands. Annual reports are disclosed before April each year. Quarterly reports are published within one month after the end of each quarter. E-commerce channel operational data is updated monthly. Documents primarily use structured tables paired with written descriptions, and include fields such as category-specific revenue breakdowns, channel sales data, raw material procurement costs, and average selling price per SKU. Field units include ten thousand yuan, units, and yuan per unit. There is no standardized unified format for percentage-related data.
What Constraints These Characteristics Impose on the Tool Calling and Plugin Workflow
The multi-source nature, varied update timelines, diverse field units, and detailed structured format of personal care products financial reports create multiple constraints for the tool calling and plugin workflow. Data formats vary significantly across sources. Exchange-disclosed financial reports are mostly in PDF format. Leading brand operational data is mostly in Excel or structured web pages. Plugins must support at least two parsing rules. Update frequencies are divided into annual, quarterly, and monthly. Scheduled tasks for tool calling must match the corresponding trigger cycles to avoid pulling redundant or outdated data. Field units include ten thousand yuan, units, and yuan per unit. Plugins must include basic unit conversion logic to prevent calculation deviations in subsequent steps. Multi-category detailed fields require plugins to support batch specification of fields for extraction, reducing unnecessary data transmission volume.
How to Set the Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_request_timeout | 600 seconds | Processes such as personal care financial report parsing and database queries take a long time. 600 seconds covers most complete invocation scenarios |
parse_file_max_size | 200 MB | Single annual financial report PDFs or batch operational Excel files typically do not exceed 200 MB. Files exceeding this size will trigger parsing failure restrictions |
mysql_multi_statements | Enabled | Must support simultaneous execution of insert and select statements to complete financial report data writing and verification, adapting to multi-statement business requirements |
tool_batch_query_limit | 5 entries | Personal care financial reports have many category-specific detailed fields. Excessive single batch queries will trigger interface rate limits. 5 entries is a safe threshold |
retrieve_chunk_size | 800–1200 characters | Structured field descriptions in personal care financial reports are usually lengthy. This range fully covers core field information and avoids content truncation |
web_crawl_max_depth | 2 levels | Public financial reports and operational data can usually be obtained within the first 2 levels of directories on brand official websites or exchange websites. Excessively deep crawling increases invalid requests |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Tool calling returns empty fields or malformed results. Cause: Failed to adapt to the format differences of multiple sources of personal care financial reports, and did not configure corresponding parsing rules, leading to field extraction failures.
- Symptom: MySQL plugin returns an error when executing multi-line insert and select statements. Cause: The
mysql_multi_statementsconfiguration item is not enabled. The default restriction only supports single statement execution. - Symptom: A 500 error is returned when importing documents, but conversation calls work normally. Cause: The version of the bge model deployed via ollama is incompatible with the document parsing interface of FastGPT 4.8.10, and model loading parameters were not adjusted.
How to Confirm Correct Configuration
- Upload a test personal care financial report PDF or Excel file, check if the parsed fields cover the core items required by the business, and confirm that the parsing rules match the data format.
- Configure the MySQL plugin and execute multi-line statements including insert and select, check if data writing and query can be completed normally, and confirm that the
mysql_multi_statementsconfiguration item is set correctly. - Initiate a tool calling request, observe if the field format of the returned results meets business requirements, check if post-processing logic needs adjustment, and confirm result stability.
- Import the deployed bge model and upload a test document, check if the parsing process can be completed normally, and confirm that the compatibility configuration between the model and the current FastGPT version is correct.
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.