What Data for This Category Looks Like
Aerospace equipment yield data provides accounting basis for financial institutions to carry out aerospace equipment-related wealth management and insurance businesses. The data mainly comes from settlement ledgers of aerospace equipment test missions, energy consumption and payload revenue reconciliation records for in-orbit operations, and contract payment recovery archives for launch services.
There are two update cadences: single mission data is updated within 72 hours after mission completion, and quarterly operational data is updated within 15 business days after the end of the quarter.
Data is provided in structured JSON format, including the following fields: task number, equipment model, accounting period, direct cost, indirect cost, total contract amount, net revenue.
For field units: cost and amount fields use ten thousand yuan as the unit. Accounting period is a string format with start and end times. Task number is an alphanumeric combination string.
Constraints on HTTP Interfaces and External Systems
The characteristics of aerospace equipment yield data, combined with compliance requirements in financial scenarios, impose multiple constraints on HTTP interface and external system interactions.
The two update cadences require the interface to support two request modes: precise query by task number, and range query by accounting period. This adapts to pulling data for single missions and quarterly operations, and matches the periodic reconciliation requirements of financial institutions.
The structured JSON format requires interface returned field names to exactly match preset standards. External systems must strictly follow field definitions when parsing data to ensure the accuracy of financial accounting.
The convention that amount fields use ten thousand yuan as the unit requires external systems to perform unified unit conversion after receiving data, to align with the yuan unit standard used in internal financial accounting.
The uniqueness of task numbers requires the interface to support single-number or multi-number batch queries, adapting to batch reconciliation scenarios for multiple transactions.
The data update delay window requires external systems to avoid the initial update periods of 72 hours after mission completion and 15 business days after quarter end when configuring scheduled pull tasks. This prevents pulling incomplete temporary data that could impact financial risk control decisions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
requestTimeout | 600 seconds | Pulling aerospace equipment data involves integrating multiple source ledgers, requiring sufficient time for data acquisition and parsing |
retryTimes | 2 times | Aerospace equipment data sources may experience temporary network fluctuations; limited retries can reduce the probability of pull failures |
batchQueryMaxSize | 10 entries | Adapts to the batch reconciliation scale of financial institutions, avoiding excessive interface return load |
cronExpression | 0 0 2 * * * | Avoids the initial data update window to ensure complete updated data is pulled |
fieldValidationEnabled | Enabled | Aerospace equipment data field standards are strict; enabling validation can early identify missing fields or format errors, complying with financial accounting compliance requirements |
unitConversionFactor | 10000 | Interface returned amounts use ten thousand yuan as the unit; conversion to the yuan unit commonly used in financial accounting requires a conversion factor of 10000 |
Three Common Mistakes
- Phenomenon: Workflow validation fails, with the prompt "Please check for missing or null values, and whether connections are normal". Cause:
fieldValidationEnabledis not configured as Enabled, or the interface returned fields do not match preset fields such as task number and accounting period, resulting in validation failure. - Phenomenon: The
Humanfield in API conversation response record preview is null. Cause: The HTTP interface request does not correctly carry the conversation context identification parameter, or the parameter name does not match the presetuserSessionIdof the interface, resulting in the system being unable to associate conversation history. - Phenomenon: The amount field returned by the interface does not match the internal financial accounting value. Cause:
unitConversionFactoris not configured as 10000, directly using the ten thousand yuan value returned by the interface for accounting, without completing unit conversion.
How to Confirm Your Configuration Is Correct
- Initiate a query request for a single task number, check whether the returned JSON data contains all preset fields, and the field formats conform to the conventions.
- Configure a scheduled pull task, wait for one data update cycle, and check whether the time range of the pulled data matches the current accounting period.
- View the interface call logs to confirm that the request did not time out, and the number of retries did not exceed the configured
retryTimes. - Perform unit conversion on the amount field returned by the interface, confirm that the conversion logic matches the preset conversion factor.
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
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.