What data in this category looks like
Data in this category is maintained by data project managers, data engineers, and customer algorithm teams. Daily supporting documents include dataset descriptions, version records, delivery checklists, and acceptance reports. Common data sources include object storage, data warehouses, annotation platforms, and customer acceptance feedback. Updates are triggered per batch delivery or version release. Core data fields include version number, delivery package hash value, sample difference description, and delivery integrity check items. Data is transferred as structured delivery packages. Core constraints are version traceability and delivery consistency. This page is written for FastGPT v4.17.0.
Constraints Imposed on HTTP Interfaces and External Systems by These Data Characteristics
The data characteristics of this category impose clear constraints on HTTP interface and external system integration. First, data is delivered in batches per version. Interfaces must support pulling specified delivery packages by version number, and must verify version number uniqueness and delivery integrity. Second, supporting documents such as dataset descriptions and version records must be transferred alongside data. Interfaces must support passing fields for multiple document types to avoid missing critical information. Third, data updates are triggered per batch or version. Interfaces must support switching between incremental and full pull configurations to adapt to different delivery rhythms. Additionally, mixing data can lead to issues such as irreproducible training. Interfaces must add permission verification and version isolation mechanisms to prevent cross-version data confusion.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Version number verification switch | Enabled | Prevents cross-version data mixing, aligns with the core requirement of version traceability for this category |
| Document synchronization configuration | Synchronize delivery checklist and version record documents | Supporting documents are a necessary part of this category's data, ensuring delivery integrity |
| Pull mode selection | Trigger incremental pull per batch | Adapts to the update rhythm of this category per batch/version, reducing invalid data transmission |
| Timeout threshold | 600 seconds | Adapts to the transmission needs of large delivery packages, avoiding delivery interruptions due to timeout |
Authorization | Carry fixed signature key | Verifies external system call permissions, preventing unauthorized access to data |
responseData | Include delivery package hash, version number, and document list fields | Ensures data verifiability and version traceability, meeting the business requirements of this category |
Three Common Mistakes
When calling the HTTP interface, a connection error is returned. The cause is incorrect configuration of the Authorization parameter, resulting in failed permission verification and interception. The result returned by the interface call does not include supporting documents. The cause is that document synchronization configuration is not enabled, and only the core delivery package is pulled. The dataset obtained via the interface call does not match the platform test results. The cause is that the correct version number is not specified, and old version delivery data is pulled.
How to Confirm Configuration Is Complete
- Initiate an interface call with a valid version number, and check whether the
responseDatareturned contains the version number and document list fields. - View the interface call log to confirm that the
Authorizationparameter is carried and verification is passed. - Initiate calls with different version numbers to confirm that the returned delivery package content matches the records of the corresponding version.
- Simulate a call scenario for a large delivery package, and confirm that the interface completes the response within 600 seconds or triggers a reasonable timeout prompt.
The values provided are common starting points and should be validated against local deployment samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.