What the data for this category looks like
Commercial property yield-related data comes from three primary sources: signed archives in the operation management system, industry trend APIs from third-party real estate data service providers, and monthly operation reports from property owners. Data updates occur monthly per individual project. Overall industry trend data updates weekly. Each data entry has a structured document with fields including project unique identifier, project name, business type, total leasable area, actual leased area, total monthly rent, and total operation and maintenance costs. All fields are structured numerical or text values, with no nested complex formats.
Constraints for sharing and embedding workflows
Data originates from multiple independent systems, so at least two types of data source APIs must be integrated before embedding. This increases cross-system data integration complexity. The monthly update cadence means embedded content does not need real-time refreshes. Caching reduces API call frequency, but cache duration must align with the data update cycle. Multi-field structured data requires embedded displays to use aligned table formats to avoid confusion. Some fields contain property owners’ operational privacy, so permission controls must be configured during sharing and embedding. Only authorized domains may access the data.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
share_iframe_domain_whitelist | Enter a list of valid domains for embedded pages, for example https://business-property.com, https://tenant-portal.cn | Restrict unauthorized domain embedding, mitigate cross-domain attack and data leakage risks |
cache_expire_seconds | 2592000 seconds (30 days) | Commercial property yield data updates on a monthly basis, so frequent cache refreshes are unnecessary |
custom_render_template | Custom template that generates aligned tables based on structured fields | Adapt to the display requirements of multi-field structured data while maintaining data readability |
api_key_permission | read_only | Sharing and embedding scenarios only require data read access, no modification or management permissions are needed |
chat_window_min_height | 800–1200 pixels | Adapt to the display size requirements of commercial property reports that include multiple tables and detailed data |
embedding_model | Model matching the embedding dimension of bge-large-zh-1.5 | Comply with retrieval requirements of existing vector databases, align with industry-standard vector model selections |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: The embedded iframe occasionally fails to display after HTML insertion. The console shows no errors, but network requests return a 403 status code. Cause:
share_iframe_domain_whitelistis not configured, and the embedded domain is not added to the whitelist, triggering cross-domain interception. - Symptom: Fields in the embedded yield report are missing or misaligned. Cause:
custom_render_templateis not enabled, or the template does not match the field structure and display format of commercial property data. - Symptom: Excessive system resource usage from a large number of non-interactive embedded instances. Cause: No session auto-expiration policy is set, or
cache_expire_secondsis configured too long, causing idle sessions to not be recycled promptly.
How to verify correct configuration
- Open the test page with configured embedding, and compare displayed commercial property fields against structured data exported from the source system to confirm consistency.
- Attempt to embed content using a domain not added to the whitelist, and confirm the page displays a cross-domain loading failure prompt.
- Adjust the
cache_expire_secondsconfiguration value, and verify that the embedded page’s data update timing matches the new setting. - Deploy multiple non-interactive embedded instances, and check that system resource usage remains within a reasonable range.
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.