What this category of data looks like
Organizations use decoration and renovation industry yield data as asset allocation reference in financial and wealth management scenarios. Data sources include internal project accounting ledgers of decoration enterprises, price fluctuation data from national building material centralized procurement platforms, and monthly cost monitoring reports from construction and decoration industry associations.
Customized yield data for individual projects updates with project progress nodes. General industry yield data updates weekly. Subcategory yield data (such as wall decoration, custom cabinetry) updates every two weeks.
The data uses structured JSON format, containing unique project identifier, decoration scene type, various cost proportions, multi-dimensional revenue indicators, and statistical cycle.
Fields and units: Unique project identifier is a string type. Decoration scene type is an enumerated value. Cost proportion is a decimal between 0 and 1. Revenue indicator is a multiple relative to the industry benchmark. Statistical cycle uses ISO-formatted date ranges.
Constraints for sharing and embedding
The multi-dimensional structure and differentiated update rhythm of decoration and renovation yield data create multiple constraints for sharing and embedding workflows. First, the data includes subcategory revenue indicators. Embedding components must support collapsing and expanding subcategory content to prevent single data entries from occupying excessive page space. Second, update cycles differ between individual project data and general industry data. Teams must configure embedding cache duration separately for each data type. Otherwise, expired information may display. Third, some data covers internal accounting details of enterprises. Embedding calls require domain whitelist parameters to restrict access from unauthorized scenarios. Fourth, shared links must carry filter parameters such as scene type and statistical cycle. This ensures recipients receive content matching the original sharing intent.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
embed_cache_ttl | Set to 604800 seconds for general industry data, set to 1209600 seconds for individual project data | General industry data updates weekly, individual project data updates every two weeks. This matches the corresponding data update rhythm |
embed_expand_fields | ["comprehensive revenue multiple", "main material proportion", "subcategory revenue list"] | These are core display fields for decoration and renovation yield data, meeting the viewing needs of most users |
embed_allowed_domains | Fill in actual authorized domains, for example ["*.decoration-service.com", "*.build-material-provider.com"] | Restrict embedding calls only to authorized decoration and renovation industry platforms, preventing leakage of internal accounting data |
embed_default_filter | {"scene_type": "commercial", "cycle": "last_week"} | Display weekly industry data for commercial decoration scenarios by default, covering most target user use cases |
embed_max_payload_size | 200 kilobytes | Single decoration and renovation yield data entry includes multiple subcategories. This size covers complete data volume while avoiding loading timeouts |
embed_show_permission_tip | true | Display a permission prompt when unauthorized domains attempt embedding. This helps troubleshoot invocation issues |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: The embedded no-login window displays a "request parameter missing" error after loading, with a 400 status code. Cause: The
embed_default_filterparameter is not specified in the embedding configuration. The backend cannot match yield data for the corresponding decoration and renovation scene. - Phenomenon: The embedding component times out while loading, and the page displays a "request timed out" prompt. Cause: The
embed_cache_ttlconfiguration is set to an excessively short duration. This triggers frequent backend queries, exceeding interface call limits. - Phenomenon: The embedded page displays incomplete subcategory revenue data, only showing some construction items. Cause: The field name of the corresponding subcategory is not configured in
embed_expand_fields. The component collapses all subcategory content by default.
How to Verify Correct Configuration
- Open the debugging panel of the embedding component. Check the structured data returned by the interface. Confirm that all fields in the configured
embed_expand_fieldsare included. - Switch between different decoration scene types. Verify that the
embed_default_filterparameter takes effect, displaying yield data for the corresponding scene. - Access the embedding component from a non-authorized domain. Confirm that the page displays a permission prompt or a no-data prompt.
- Wait for the end of the corresponding data update cycle. Refresh the embedded page. Confirm that the data has updated to the latest statistical cycle content.
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.