Sharing and Embedding of Consumer Building Materials Yield Data

Yield and market trend data for consumer building materials comes from three main sources: wholesale and retail monitoring systems in the building

What the data for this category looks like

Yield and market trend data for consumer building materials comes from three main sources: wholesale and retail monitoring systems in the building materials circulation sector, offline dealer inventory and sales ledgers, and product pricing and sales volume data from online e-commerce platforms. Offline channel data updates weekly. Individual product data from online e-commerce platforms updates daily. Real-time quotes for core popular products update every hour. Data is provided as structured tables. Fields include product category name, specification model, ex-factory unit price, wholesale unit price, retail unit price, purchase-sale price difference, and weekly price fluctuation value. All unit prices and price differences use Renminbi as the denominating unit.

What constraints do these characteristics impose on sharing and embedding workflows

The layered update schedule of the data requires embedded components to support custom refresh cycles. This prevents excessive resource usage from high-frequency API calls, or data lag from low-frequency updates. The multiple fields and fixed pricing unit require embedded configurations to support field filtering and unified unit display. This avoids unit confusion or redundant information. The characteristics of multi-specification products require embedded components to support filtering data by category and specification parameters. This adapts to display needs across different scenarios. The aggregated multi-data source feature requires configuring data cache duration during embedding. This balances real-time performance and API call rate limits.

How to set the configurations

Configuration ItemRecommended SettingRationale
iframeShowCiteOffMatches the concise display requirement for consumer building materials market trend broadcasts, and avoids distracting reference content from interfering with core data reading
embedCacheTime3600 secondsMatches the hourly update schedule for real-time quotes of core products, balancing data timeliness and API call frequency
shareExpireTime7 daysAdapts to weekly updated offline channel data for consumer building materials, and prevents expired links from disrupting team collaboration workflows
embedFilterFieldsCategory Name, Wholesale Unit Price, Retail Unit Price, Purchase-Sale Price DifferenceOnly displays fields related to yield that users focus on most, streamlining embedded content
iframeShowHistoryOnMust be enabled for versions 4.9.1 and above to ensure unauthenticated windows can display historical records
iframeMaxHeight600–800 pixelsAdapts to standard page layouts for multi-field display, avoiding content overflow or excessive blank space

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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • Phenomenon: Reference source content is still displayed after iframe embedding. Cause: The iframeShowCite parameter is not configured to Off. The default behavior retains reference display logic.
  • Phenomenon: The unauthenticated window fails to load after being embedded in a project, and the link shows a local debugging address. Cause: Correct embedded domain whitelists are not configured in the platform, resulting in requests from unauthorized domains being blocked.
  • Phenomenon: The unauthenticated window in version 4.9.1 cannot view historical records, but historical data can be queried in logs. Cause: The iframeShowHistory configuration item is not enabled, or the platform version is lower than 4.9.1, causing the feature to be unavailable.

How to confirm the configuration is complete

  • Open the embedded display page, check that the displayed fields match the configured filter items, and confirm there is no redundant or missing information.
  • Trigger a data refresh operation, verify that the update interval matches the preset cache duration, and confirm the data update schedule aligns with business requirements.
  • Test unauthenticated access permissions, confirm that content loads normally without login, and that the historical record display function works correctly.
  • Adjust the container size of the embedded component, confirm that the displayed content has no overflow or excessive blank space.

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.