What the Data for This Category Looks Like
Data sources for decoration and renovation financing daily reports include local housing and urban-rural development department decoration project filing systems, credit and loan ledgers from cooperating financial institutions, and project financing updates from third-party construction industry data service providers. Data is fully synchronized for the previous day every early morning. The data uses standard JSON format, with fields including project unique identifier, project name, decoration category (home renovation/commercial renovation/public renovation), financing amount (unit: ten thousand yuan), loan date, repayment status, cooperating financial institution name, and more. Each data entry has between 8 and 12 stable fields, with no redundant nested fields.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
The multi-source data nature of decoration and renovation financing daily reports requires HTTP interfaces to support multi-dimensional filter parameters such as date range, decoration category, and cooperating institution, to adapt to query needs of different callers. The daily full update rhythm requires interfaces to support pulling full datasets for a specified date, while also compatible with incremental pull scenarios to avoid repeated processing of historical data. Fields include clear units (ten thousand yuan) and detailed categories. Interfaces must carry unit descriptions in returned results, and support precise filtering by decoration type, to reduce data cleaning costs for callers. Additionally, differences in field naming across sources require interfaces to provide standardized field mapping rules, unify returned field formats, and lower adaptation costs for downstream businesses.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
timeout | 300 seconds | Decoration and renovation financing daily reports have large per-batch data volumes. Reserve sufficient request processing time to avoid task interruptions from data pull timeouts |
method | GET | Interfaces are primarily used to pull authorized financing daily report data. GET requests comply with RESTful interface specifications and adapt to parameter transfer needs |
headers | Includes Authorization: Bearer {token} and Content-Type: application/json | Most third-party data interfaces use Bearer token authentication, and JSON format adapts to structured data transmission |
query_params.date_start | Previous day's date format (e.g. YYYY-MM-DD) | Adapts to the daily update rhythm of daily reports. Pull full data from the previous day consistently, to avoid repeated retrieval of historical content |
response_parse_mode | Parse by field mapping | Unify non-standard fields from third-party interfaces (such as loan_amount and financing amount from different institutions) into standard fields, to adapt to downstream business logic |
retry_count | 2 times | Address scenarios of network fluctuations or temporary interface unavailability, reduce task interruptions caused by single request failures |
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 Mistakes
- Symptom: The interface returns the error
tls: failed to verify certificate: x509: certificate signed by unknown authority. Cause: No trusted root certificate is configured, or the interface uses a self-signed certificate and certificate verification is not disabled or the corresponding certificate is not imported in the HTTP node. - Symptom: Custom input variables in workflow HTTP nodes are not correctly received by the interface, and the interface returns empty data or parameter errors. Cause: Corresponding variable placeholders are not bound to the interface request path or parameters, or the variable transfer switch is not enabled in the node configuration.
- Symptom: The
financing amountfield in pulled financing daily report data is empty or has inconsistent units. Cause: No response field mapping rules are configured, amount units from different source interfaces are not unified, or field integrity is not verified.
How to Confirm Configuration is Complete
- Initiate a single test request, check if the returned JSON data includes the core fields specified in the configuration, and that field units meet business requirements.
- Review workflow run logs to confirm that request parameters (such as date range, filter conditions) are correctly passed to the target interface according to the configuration.
- Compare the decoration category field returned by the interface with actual business classification rules, confirm that filter parameters have taken effect, and only return data that meets the conditions.
- Simulate a daily scheduled trigger task, check if full data from the previous day can be pulled normally, with no timeouts or error prompts.
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.