What Data for This Category Looks Like
Cultural and entertainment product market and yield data comes primarily from public second-hand trading platforms, official brand inventory reports, and industry association statistics. Two update cadences apply:
- Individual item real-time transaction data updates daily
- Industry aggregate statistics update weekly
Data documents use standard JSON format. Fields include:
item_id: string, unique identifier for individual itemstrade_time: ISO format timestamptransaction_amount: numeric, unit: yuanreference_valuation: numeric, unit: yuanvaluation_gap: numeric, unit: yuancirculation_volume: integer, unit: piecestrade_channel: string, name of trading channel
Field naming may have minor differences across data sources.
What Constraints Do These Characteristics Impose on Share and Embed Workflows
First, dispersed data sources and inconsistent field naming require adding multi-data source field mapping rules in embed configurations to avoid displaying incorrect data. Second, individual item transaction data updates daily, while industry aggregate data updates weekly. Embed page cache periods must not exceed data update frequencies, otherwise expired information will be shown. Third, fields use multiple units (yuan, pieces). Unified unit display formats must be configured in embed settings to prevent user confusion. Fourth, the item_id field is a unique identifier. Embed requests must carry an accurate item_id parameter, otherwise valid data for the category cannot be returned.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
embed_cache_ttl | 86400 seconds | Matches the daily update frequency of cultural and entertainment product individual item transaction data to ensure display of the latest data |
api_data_source_whitelist | ["second-hand trading platform API", "dealer inventory and sales API"] | Restricts the scope of legitimate data sources to filter invalid or unauthorized data source requests |
field_display_unit | {"transaction_amount": "yuan", "reference_valuation": "yuan", "valuation_gap": "yuan", "circulation_volume": "pieces"} | Unifies the display units for each field to prevent user confusion over units of different data types |
embed_query_match_type | exact | Matches the unique item_id identifier for cultural and entertainment products to avoid returning incorrect data from unrelated categories |
api_request_timeout | 30000 milliseconds | Adapts to the time consumption requirements of pulling data from multiple sources to prevent embed page load timeouts |
embed_allow_origin | ["target embedded domain"] | Restricts the source domains of embedded pages to mitigate cross-domain security risks |
Three Common Configuration Mistakes
- Scenario: Embedded page displays blank, direct access to the published address works normally, and the console returns a 403 Forbidden status code. Cause:
embed_allow_originhas not been configured to permit the target domain, or cross-domain configuration for the login-free window is not active. - Scenario: Field units are inconsistent after embedding, with some fields displaying no unit. Cause:
field_display_unithas not been configured to unify units, or field mapping configuration contains errors. - Scenario: Embedded content returns data older than 24 hours. Cause:
embed_cache_ttlis configured with a value greater than 86400 seconds, so the cache period exceeds the data update frequency.
How to Confirm Proper Configuration
- Access the published login-free window address directly to confirm the page loads normally and returns valid data for the target category.
- Insert the configured iframe tag into the target embedded page, fill in the embed address, and check if the page displays data normally with no console errors.
- Modify the
embed_cache_ttlconfiguration value, observe whether the data update time aligns with the expected cache period. - Pass an incorrect
item_idparameter, check if empty data or a clear prompt message is returned to confirm the matching rule is active.
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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.
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.