What the data for this category looks like
Engineering consulting yield rate data primarily comes from internal cost databases, public bidding platforms, and phased project cost accounting results. Data updates follow project milestones, with no fixed schedule. Batch synchronization of projects must be completed in batches. Data documents are stored in structured table or lightweight JSON formats. Core fields include project unique identifier, consulting service type, benchmark yield rate range, dynamic adjustment coefficient, pricing unit (such as yuan/square meter cost proportion), and update date. Consulting data fields vary across different business lines, and there is no unified standardized template.
What constraints these characteristics impose on HTTP interfaces and external systems
No fixed update schedule requires interfaces to support on-demand pulling, so a flexible trigger mechanism must be configured. Multi-data source docking requirements mean interfaces must support cross-source data aggregation, so unified data source access rules must be configured. The features of dedicated fields and non-standardized templates require interfaces to support custom field mapping, to avoid losing business-specific information with generic parsing rules. Pagination queries must use project unique identifiers as auxiliary parameters. Using a single pagination parameter easily triggers caching that causes duplicate data, which aligns with the multi-instance nature of engineering consulting projects.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
api_request_timeout | 300 seconds | Engineering consulting data involves complex cost calculations, leading to long interface response times. 300 seconds covers most business scenarios |
custom_field_mapping | Map dedicated fields by project type | Engineering consulting data includes dedicated fields such as project ID and pricing unit, so custom mapping rules are required for adaptation |
pagination_params | ["pageNum", "projectId"] | Using only pageNum easily triggers duplicate caching results. Combining with project ID allows precise differentiation of pagination requests for different projects |
auth_method | API_KEY static authentication | Most engineering consulting data sources are internal systems, so static authentication ensures secure interface access |
max_retry_count | 2 times | Occasional interface timeouts can be recovered via retries, preventing direct failure of single requests |
document_parse_timeout | 600 seconds | Engineering consulting interface documents are often in complex HTML format, requiring long parsing time to complete field extraction and mapping |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Passing different pageNum values during interface calls returns identical data. The projectId is not used as a pagination auxiliary parameter, so the interface cache stores default pagination results without differentiating pagination requests for different projects.
- Uploading HTML interface documents generated by Javadoc results in no valid fields being parsed. The custom field parsing rule for HTML documents is not enabled, or the dedicated field mapping template for engineering consulting is not configured.
- Frequent automatic connection disconnections occur after interface calls. A reasonable timeout value is not set, and the engineering consulting interface response time exceeds the default threshold, causing the connection to be actively terminated.
How to verify proper configuration
- Interface requests with different pageNum and projectId values are sent, and returned data is verified to change as parameters are adjusted.
- The HTML document of the engineering consulting interface is uploaded, and parsed results are confirmed to include dedicated fields such as project ID and pricing unit.
- Interface call logs are reviewed to confirm that no timeout or connection disconnection errors appear.
- Custom field mapping configuration is checked to confirm that it matches the field format of engineering consulting data.
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.