What this category's data looks like
Data sources include official brand channel launch guide prices, public transaction records from secondary market collection trading platforms, and third-party market aggregation application programming interfaces (APIs). Full-category transaction data from the previous day updates after daily market close. Popular items support real-time updates every hour. Each data entry includes five fixed fields: category name, product unique ID, launch guide price, average transaction price over a recent period, and cumulative transaction count. Launch guide price and average transaction price use yuan as their unit. Cumulative transaction count uses transactions as its unit.
What constraints these characteristics impose on form and interaction
Dual-track data sources require form interactions to include a clear data source switch entry. This prevents user confusion between official guide price and secondary market transaction data calculation logic, and ensures accurate yield-related queries. Differentiated update cadences require forms to support configuration of data fetch time window parameters. This adapts to real-time query needs for popular items and daily update needs for standard items. Fixed field structures require forms to include built-in field validation rules. This filters product ID inputs that do not meet format requirements, and reduces submissions of invalid queries. Unified unit systems require forms to automatically bind unit suffixes. This avoids unit confusion during user input, and improves input efficiency.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
INPUT_AUTO_COMPLETION | Enabled | Cultural and entertainment product categories have rich variety and long product IDs. Auto-completion reduces input errors and improves query efficiency |
DATA_FETCH_INTERVAL | 300–86400 seconds | Covers real-time update needs for popular items and daily update needs for standard items, adapting fetch frequency for different scenarios |
FORM_FIELD_VALIDATION | Enable product ID format validation | Cultural and entertainment product IDs have a fixed prefix format. Validation filters invalid inputs and reduces the probability of model mismatches |
UPLOAD_FILE_MAX_SIZE | 100 MB | Cultural and entertainment market documents are mostly structured tables with small individual file sizes. This value covers most use cases |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Sufficient processing time is required to complete parsing and format conversion when batch fetching multi-category market data |
CHAT_INPUT_TRIGGER | Trigger on enter | Most user inputs are short queries. Triggering on enter aligns with common interaction habits and reduces the probability of accidental triggers |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Submitting a query containing a product ID with
gpt-4o-minireturns a 400 error. Switching to another model restores normal functionality. Cause:INPUT_AUTO_COMPLETIONis not enabled. The model cannot match the correct product ID, triggering a context format validation failure. - Phenomenon: Form submission returns far fewer market data entries than expected. Cause: The
DATA_FETCH_INTERVALparameter is not adjusted. The system only fetches same-day data, and does not pull preset recent period data. - Phenomenon: Form fields do not automatically bind unit suffixes. Users mistakenly input values using units other than yuan. Cause: Unit validation rules in
FORM_FIELD_VALIDATIONare not enabled, allowing invalid inputs to be submitted.
How to confirm correct configuration
- Enter a known cultural and entertainment product ID in the chat input box, and check if auto-completion prompts trigger.
- Switch between different data sources to submit a query, and check if the returned data source matches the configured setting.
- Upload a small cultural and entertainment market data table, and check if parsing completes within the expected time.
- Enter a product ID that does not meet format requirements, and check if field validation prompts trigger.
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.