HTTP Interfaces and External Systems for Ordnance Equipment

What the data for this category looks like

Ordnance equipment financing daily report data is primarily sourced from public financing announcements of defense and military enterprises, stock exchange disclosure documents, and aggregated information from industry regulatory bodies. Data is updated and summarized daily after trading hours. Each daily report document contains one or more financing records. Every record includes fixed fields: financing entity name, financing amount (unit: ten thousand RMB), financing method, financing date, affiliated ordnance equipment subcategory, disclosure source link, and other relevant fields. Most documents are delivered as structured CSV or JSON batch files. Batch data volume fluctuates based on market activity levels.

Constraints for HTTP interfaces and external systems

The data source properties of ordnance equipment financing daily reports create multiple constraints for HTTP interfaces and external systems. Publicly available structured data requires interfaces to support batch pulling and single-item detail queries. Interfaces must validate disclosure source legitimacy to ensure data credibility. The daily update schedule requires interface configurations for scheduled trigger tasks. Reasonable pull intervals must be set to avoid excessive resource usage from frequent requests. The amount field uses ten thousand RMB as its explicit unit. Interface input parameters must validate amount format and unit consistency to prevent data parsing errors. Subcategories must align with official ordnance equipment classification standards. Interfaces must support filtering queries by this field. Batch transfer scenarios must adapt to fluctuating data volumes to avoid triggering interface rate limits.

Configuration settings

Configuration Key	Recommended Value	Rationale
`pushData.batchSize`	`150–200 records`	Aligns with FastGPT's official single-batch push limit, and matches the typical batch size of ordnance equipment financing daily report data
`dataset.pullInterval`	`86400 seconds`	Matches the daily update schedule of financing daily reports, avoids unnecessary high-frequency pull requests
`api.request.timeout`	`30 seconds`	Covers typical response times for pulling public disclosure documents, balances request success rate and waiting costs
`field.validate.required`	`["Financing Amount","Financing Date","Disclosure Source"]`	Ensures core business fields are not missing, maintains data integrity of financing daily reports
`filter.category.field`	`Belongs to Ordnance Equipment Segment`	Meets core needs for industry segment queries, supports filtering data by ordnance equipment subcategory
`api.rateLimit.qps`	`1 request/second`	Fits scenarios requiring only one daily pull, avoids triggering rate limits from external data sources

The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, volume, and business rules. Each scenario requires individual analysis. It is recommended to test on one’s own samples before finalizing settings.

Three common configuration mistakes

Calling the /api/core/dataset/collection/create interface returns a 404 Not Found status code. Cause: The FastGPT version in use has not been confirmed for its corresponding interface path. Some versions have adjusted interface routing, leading to mismatched request paths.
Using the pushData interface to push financing daily report data results in only a small number of entries being successfully imported into the knowledge base. Cause: The single-batch push limit rule was misinterpreted. The official 200-group single-batch limit was mistaken for a total push limit, leading to incorrect parameter configuration during batch pushes.
Sending a model query request results in no properly formatted JSON response being received. Cause: The response_format parameter was not explicitly configured as json_object in the interface request, causing the model to return results in a format not aligned with business requirements.

How to confirm proper configuration

Invoke the single-item data push interface, pass standardized ordnance equipment financing daily report test data, and verify the status and field validation results of the returned response.
Manually trigger the scheduled pull configuration, check whether the pull request to the external data source is initiated normally, and whether the parsed field format matches the preset rules.
Configure the category filtering parameter, send a query request, and verify whether the returned results match the preset filtering logic.
Send a batch data push request, verify the correspondence between the interface returned processing results and the input 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.