What Data for This Category Looks Like
Data related to infrastructure construction project yield rates comes from three primary sources: measurement and payment ledgers from project owners, cost databases of local housing and urban-rural development departments, and monthly submission documents from third-party cost consulting institutions. Data updates follow a monthly core schedule. Some key progress-tracking projects synchronize current-period completion data on a weekly basis. Data documents use a structured format, with each row corresponding to a single section or sub-project. Fields include project unique code, section name, cumulative completed project volume, current-period total valuation, valuation benchmark coefficient, report date, and additional relevant fields. Total valuation is measured in yuan. Project volume is measured in square meters or cubic meters.
Constraints Imposed on HTTP Interfaces and External Systems
The characteristics of infrastructure construction data impose multiple constraints on HTTP interfaces and external systems. First, multi-source data requires interfaces to support multiple authentication protocols, allow custom request headers for key transmission, and adapt to different access requirements of internal owner systems and third-party databases. Second, the primarily monthly update schedule requires interface synchronization tasks to use reasonable trigger periods, to avoid resource occupation from high-frequency requests. Third, multi-dimensional structured fields require interfaces to support combined multi-parameter queries, to meet filtering needs for data by project, section, and date. Fourth, the presence of custom valuation fields requires interfaces to support dynamic parameter transmission, to avoid restricting data access scope with fixed fields.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
external_api_timeout | 600 seconds | Batch retrieval of infrastructure data involves multiple sections, which takes a long time. 600 seconds covers the full synchronization process |
api_request_rate_limit | 10 requests per minute | Monthly updated data does not require high-frequency calls, to avoid triggering rate limiting rules of third-party interfaces |
dynamic_field_mapping | Enabled | Custom valuation fields exist in infrastructure projects, requiring support for parameter transmission of non-fixed fields |
sync_trigger_cron | 0 0 2 1 * * | Trigger synchronization according to the natural month, avoid business peaks, and match the monthly update rhythm |
filter_param_whitelist | ["project_id", "section_name", "report_date"] | Limit core query dimensions, filter invalid request parameters, and improve interface security |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: External interface calls return the
429 Too Many Requestsstatus code, and synchronization tasks are interrupted. Cause: No reasonable request rate limit is configured, and high-frequency calls trigger rate limiting rules of third-party cost databases. - Symptom: Pulled infrastructure data has missing fields, and the valuation benchmark coefficient for some sections is empty. Cause: The dynamic field mapping switch is not enabled, and fixed parameter whitelists filter out custom valuation fields.
- Symptom: Single interface call takes longer than the preset threshold, and the task times out and fails. Cause: The
external_api_timeoutconfiguration is not adjusted, and the default timeout period is too short to cover the time required for batch retrieval of multi-section data.
How to Verify Successful Configuration
- Execute a single interface test request, verify that the returned fields include core information such as project code, section name, and total valuation, and check that custom fields return normally.
- Check scheduled task logs, confirm that synchronization is triggered according to the configured Cron expression, and there are no high-frequency call records.
- Simulate a request carrying parameters not in the whitelist, verify that the interface filters invalid parameters and returns a valid response.
- Initiate a batch data retrieval request, confirm that the task is not interrupted due to timeout, and adjust the timeout configuration based on actual elapsed time.
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.