What the data for this category looks like
Personal care products financial report data primarily comes from periodic reports disclosed by stock exchanges, official corporate announcements, and third-party compliant financial report aggregation platforms. The update cycle follows quarterly and annual schedules. Quarterly reports are disclosed within 1 to 2 months after the end of the quarter, and annual reports are disclosed within 4 months after the end of the year. The document structure includes modules such as revenue breakdown, cost structure, channel proportion, and R&D investment. Exclusive fields include segmented revenue of personal care products, raw material unit cost, and online channel revenue proportion. Most field units are ten thousand yuan RMB and percentage.
Constraints on workflow orchestration
These data characteristics impose three core constraints on workflow orchestration. First, the disclosure cycle is fixed. The workflow must trigger on a quarterly and annual basis, and high-frequency automatic runs should not be set to avoid calling invalid data. Second, there are many segmented fields. The workflow must first configure precise data extraction nodes to distinguish revenue data for personal care products business from other businesses, preventing field confusion. Third, some fields require cross-verification with e-commerce platform data. Database connection or external API call nodes must be reserved, and timeout parameters need to be adjusted to accommodate multi-table associated queries. In addition, R&D investment sections of personal care financial reports often involve new formulas and patent details. The workflow must configure appropriate context window parameters to ensure complete reading of relevant content.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
trigger_cron | 0 0 10 5-10 1,4,7,10 * | Matches the regular disclosure cycle of quarterly and annual reports for A-share listed personal care products companies, avoids invalid triggers |
data_extract_prompt | Extract the three fields of segmented revenue of personal care products, raw material unit cost, and online channel revenue proportion from the financial report, retain the original units | Accurately locate exclusive financial report fields for the personal care category, avoid mixing in data from other businesses |
db_connection_timeout | 30 seconds | Accommodates the time requirements of multi-table associated queries for personal care financial report data, prevents data acquisition from being interrupted by timeout |
llm_context_window | 16384 tokens | Covers the reading requirements for long sections such as R&D investment and channel analysis in personal care financial reports, avoids content truncation |
result_pass_mode | Pass directly to LLM context | Ensures that financial report results extracted by code nodes are fully passed to the large model, reducing format loss |
error_retry_count | 2 times | Addresses temporary loading delays in financial report data, reduces the probability of single call failure |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: An error
chat:ai_input_is_eis triggered when the output of a code node in the workflow is passed to a large model node. Cause: Theresult_pass_modeparameter is not configured correctly, causing the original format of the code output to not meet the input requirements of the large model, resulting in format parsing failure. - Phenomenon: When using a database connection plugin to connect to PostgreSQL, the interface prompts "Workflow verification failed, please check for missing or missing values, and whether the connections are normal". Checking the logs shows the words
connection_refusedormissing_required_param. Cause: Correct database port, username are not filled in, or SSL parameters required for intranet access are not configured. Personal care financial report databases are usually deployed in intranet environments, and additional connection parameters need to be configured. - Phenomenon: No response occurs when using the
[{datasetId: xxx}]format for knowledge base variable reference. Cause: The standard FastGPT variable reference syntax is not used. It should be changed to{{datasetId}}or{{$.inputs.datasetId}}format.
How to confirm proper configuration
- Trigger a single test workflow, check the output logs of the code node, confirm that fields such as segmented revenue of personal care products, raw material unit cost, and online channel revenue proportion are complete and retain their original units.
- Click the test connection button of the database connection node, confirm that the "Connection successful" prompt is returned, and there are no red verification errors.
- Check the input parameter panel of the large model node, confirm that
result_pass_modeis configured to pass directly to the context, and no additional format filtering is enabled. - Compare the workflow output results with the original financial report documents, confirm that segmented category revenue and other fields are not incorrectly categorized or omitted.
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.