What data for this category looks like
Medical aesthetics investment research data comes from four main sources: National Medical Products Administration medical aesthetic product filing announcements, China Association of Plastic Surgery industry updates, public operating information of medical aesthetic chain institutions, and clinical research data from professional medical aesthetics journals. Update timelines vary: New product filings and new institution practice license updates happen irregularly. Quarterly industry analysis reports are released each quarter. Clinical research data updates align with their respective study cycles. A single investment research data entry includes these fields and their corresponding units: product name, filing number, manufacturer, compliance status, applicable body part, single-course price range, clinical application records, number of covered regional stores. Corresponding units: none, none, none, enumerated values, enumerated values, yuan, entries, store locations.
What constraints these characteristics impose on database and operations workflows
Scattered data sources and inconsistent update rhythms require support for scheduled multi-source synchronization tasks and manual trigger mechanisms. Fields such as compliance status (enumerated values) and price ranges require strict format validation to ensure retrieval accuracy. Long individual industry report documents require support for large-text storage and efficient retrieval. Fluctuating value ranges for fields including number of covered regional stores and clinical application records require dynamically expandable storage capacity. Inconsistent multi-source data formats require a pre-data cleaning process to standardize fields and units.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Medical aesthetics industry report documents have long length, so sufficient parsing time must be reserved |
vector_search_topk | 10–15 entries | Medical aesthetics investment research retrieval needs to balance relevance and information coverage |
db_connection_pool_size | 20–30 connections | Multi-source data synchronization requires balancing concurrent requests and database load |
UPLOAD_FILE_MAX_SIZE | 200 MB | Meets large file upload requirements for individual medical aesthetics industry reports |
clean_data_enable | Enabled | Medical aesthetics investment research data sources are scattered, so automatic standardization of field formats and units is needed |
similarity_threshold | 0.75–0.85 | Filters low-relevance medical aesthetics investment research retrieval results |
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. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: Obvious lag occurs in multi-round query processes. Logs show database request timeouts. Cause: No reasonable value is configured for
db_connection_pool_size. Concurrent synchronization requests exceed the database load limit. - Phenomenon: Database connection errors include
Access denied for user. Cause: Database access permissions are not configured correctly. The account is not granted read/write permissions for the corresponding database tables. - Phenomenon: Batch data synchronization tasks become unresponsive after execution. Task status remains running. Cause: The
clean_data_enableswitch is not enabled. Unstandardized field formats cause data write failures, and no retry mechanism is triggered.
How to confirm the configuration is correct
- Upload a standard medical aesthetics industry report, check the parsing completion status, and adjust the value of
PARSE_FILE_TIMEOUT_SECONDSto match the parsing duration. - Submit a retrieval request for medical aesthetics product keywords, check the relevance and quantity of returned results, and adjust the similarity threshold and number of recalled entries.
- Execute a batch data synchronization task, observe database load monitoring metrics, and adjust the database connection pool size to balance concurrency and load.
- Check database access logs, confirm there are no permission errors, and verify that the read/write permissions of the database account meet requirements.
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.