What this type of data looks like
Commercial real estate research report data is sourced from publicly available industry research reports, monthly survey materials from business district operation organizations, and commercial format monitoring data released by local commercial authorities. Core business district data is updated monthly, non-core areas are updated quarterly, and interim reports are added when major format adjustments or policy changes occur. The document structure includes fields such as project location, rental level, tenant type proportion, proportion of vacant space in total scale, and surrounding supporting facility coverage. The unit of rent is yuan per square meter per day, and the unit of area is square meters.
What constraints these characteristics impose on HTTP interfaces and external system integration
The multi-dimensional fields and non-fixed update schedule of commercial real estate research reports create multiple constraints for HTTP interface and external system integration. Data sources updated monthly or quarterly require interface caching strategies aligned with the update cycle to avoid frequent calls that exceed the data source interface’s rate limits. The multi-field structure requires interfaces to support specifying returned fields to reduce invalid data transmission. The fixed unit system requires interfaces to retain original measurement rules, prohibit forced unit conversion, and adapt to the statistical logic of external systems. Additionally, individual research reports have large content volumes, so interfaces must support paged returns and content truncation configuration to adapt to the display and storage limits of external systems.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
cacheTTL | 7200 seconds | Aligns with the monthly/quarterly update schedule of commercial real estate research reports, preventing calls to outdated data before cache expiration |
recallTopK | Top 8 entries | Commercial real estate research reports have multiple dimensions, so sufficient entries must be recalled to cover core information such as tenants, rents, and supporting facilities |
similarityThreshold | 0.72–0.80 | Balances report relevance and information completeness, avoiding recall of irrelevant cross-industry reports |
apiTimeout | 300 seconds | Individual research reports have large content volumes, so interface calls must reserve sufficient time for parsing and retrieval |
fieldFilter | Only return location, rental level, tenant composition, and vacancy status | Reduces invalid data transmission and adapts to the core data needs of external systems |
chunkSize | 1200–1500 characters | Adapts to the long-text structure of commercial real estate research reports, avoiding semantic fragmentation that disrupts the coherence of professional content |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: The interface returns empty data or missing core fields. Cause: The
fieldFilterparameter is not configured correctly. Returning all fields by default exceeds the processing capacity of the external system, causing the interface to automatically truncate the response. - Issue: The interface returns a 408 request timeout error. Cause: The
apiTimeoutconfiguration is not adjusted. The long-text parsing and retrieval time for commercial real estate research reports exceeds the default timeout threshold. - Issue: Global variables passed by the external system do not take effect in the workflow. Cause: The global variable pass-through switch is not enabled on the interface release page, and externally passed parameters are not mapped to the global variable node of the workflow.
How to confirm the configuration is correct
- Call the interface with query parameters for a specified business district, and verify that the returned fields match the configured
fieldFilterparameter. - Simulate high-frequency calls with intervals shorter than
cacheTTL, and verify that the update time of the returned data matches the preset cache cycle. - Pass query text of exceeding conventional length, and verify that the research report content returned by the interface is properly truncated according to
chunkSize. - Trigger a timeout scenario, and verify that the status code and error message returned by the interface conform to the configuration rules of
apiTimeout.
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.