What the Data for This Category Looks Like
Data for aesthetic medicine profit yields comes from three sources: publicly available pricing datasets from aesthetic industry monitoring platforms, quarterly operational disclosure information from compliant aesthetic medical institutions, and statistical ledgers tracking price differences between inventory and sales for aesthetic medical consumables. Full product category data is updated monthly. Weekly pricing data for popular light aesthetic medicine projects is synchronized every 7 days. Data is formatted as structured tables. Fields include project name, service category, cost price, retail price, service coverage city, and statistical cycle. Cost price and retail price use Renminbi yuan as their unit. Service duration uses minutes as its unit. No percentage-based statistical fields are included.
Constraints Imposed on Tool Calling and Plugins
The scattered data sources and differing update schedules for the aesthetic medicine category require plugins to implement multi-data source priority fallback logic. This adapts to both monthly and weekly update cycles. Because data fields only include basic inventory-sales prices and city information, plugins must include built-in custom calculation rules to generate required price difference metrics. Plugins must also preset field mapping rules to avoid returning null values. Cross-city pricing differences require plugins to support filtering request parameters by city dimension. A validity check mechanism for city parameters must be configured to ensure only included city codes are passed during calls.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
data_source_priority | public monitoring platform, institution public data, consumables inventory ledger | Adapts to the multi-source distribution of aesthetic medicine data, prioritizes publicly monitored data sources with more timely updates |
pull_cron | 0 0 * * 1/1 (weekly), 0 0 1 * * (monthly) | Matches the weekly update rhythm for popular projects and monthly update rhythm for full product categories |
field_mapping | cost: cost price, price: retail price, city: service coverage city | Matches the inherent field naming of aesthetic medicine data, avoids null value returns caused by field mismatches |
param_whitelist | Beijing, Shanghai, Guangzhou, Shenzhen, Chengdu | Limits valid data calls only to included cities, filters invalid request parameters |
custom_calculate_script | price - cost | Generates price difference metrics based on existing fields, adapts to data structures without native yield fields |
timeout_seconds | 600 seconds | Adapts to the time consumption requirements of multi-source data pulling and calculation, avoids call interruptions due to timeout |
The parameter values provided on this page are all conventional recommendations used as 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 Misconfigurations
- Symptom: Plugin calls return empty parameters, or the interface displays the prompt "parameter not found". Cause: Variable fallback logic is not configured, and the rule to automatically use the plugin's built-in default parameter values when workflow incoming variables are empty is not specified.
- Symptom: Streaming responses do not include model thought process content, only return final calculation results. Cause: Streaming output thought content transmission configuration is not enabled, and the rule to directly write the model's think field into the output stream is not configured.
- Symptom: Only a small number of results are returned during batch tool calls, or call failure errors occur. Cause: The batch execution shard threshold is not correctly configured, and the maximum number of entries that can be processed in a single batch for aesthetic medicine data is not matched.
How to Confirm Proper Configuration
- Manually trigger a plugin call, check if the returned fields include the preset price difference metrics, and verify that the field mapping rules take effect.
- Check the workflow's scheduled task logs to confirm that the pull interval matches the configured
pull_cronexpression, and that the data update cycle meets expectations. - Submit a test request containing an invalid city parameter, confirm that the plugin intercepts invalid requests and returns a prompt for parameter verification failure.
- Enable streaming output testing, confirm that the model's thought process content is directly transmitted to the response stream without content loss.
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.