What data for this category looks like
Data for this category is generated across the full lifecycle of collection tasks. Core daily documents include four types: collection plans, sample specifications, authorization statements, and task schedules. Data sources include business requirements submitted by customers, publicly available data sources, self-developed collection tools, and internal sample libraries. Updates follow a per-project cycle, with task progress and adjusted content synchronized weekly. Fields must clearly specify sample scope, collected fields, authorization and compliance requirements, and schedule milestones. Units are typically characters, entries, and dates. Specifications provided by customers must be strictly followed to avoid invalid collection results due to mismatched fields.
What constraints these characteristics impose on HTTP Interfaces and External Systems
Data for this category must strictly match the field specifications and compliance requirements specified by customers. Therefore, HTTP interfaces must support carrying custom field parameters to ensure that collection task configurations fully align with customer needs. Data sources cover customer requirements, public data sources, collection tools, and sample libraries. Interfaces must adapt to call permission configurations for multi-source data to prevent unauthorized access or data leaks. Updates follow a per-project cycle, so interfaces must support dynamic adjustment of task parameters without repeated initialization of configurations. Requirements for collection legality verification must be embedded in the interface verification logic to intercept non-compliant data in advance. Full request logs must be recorded for subsequent compliance tracing and troubleshooting.
How to configure settings
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Carry a project-specific Bearer {token} format, set validity period to 7 days | Aligns with the per-project data update rhythm of this category, avoids security risks from long-term tokens |
| Maximum sample count per request | 800–1200 entries | Adapts to the sample scale of daily collection tasks in this category, avoids interface timeouts or data truncation |
| Timeout threshold | 600 seconds | Covers typical response durations of public data sources, adapts to time requirements for multi-source collection |
responseData | Only return structured content that matches the fields specified by the customer | Aligns with the requirement to strictly align with customer field specifications in this category, reduces subsequent cleaning workload |
variables | Bind project-specific sample scope and authorization identification parameters | Adapts to scenarios in this category that require dynamic adjustment of task configurations, no need to repeatedly modify interface code |
| Task log storage limit | 1000 MB | Retains complete request logs within a single project cycle to meet compliance tracing requirements |
Three Common Misconfigurations
- Symptom: After deploying an API container related to offline collection tools, calling the interface returns logs indicating failure to access external network resources. Cause: Dependent tokenizer files were not synchronized to the local container in advance, causing the interface to fail data format verification.
- Symptom: Calling the interface to obtain a knowledge base file list returns empty results. Cause: The correct
Authorizationparameter was not included in the request, or the project permission bound to the parameter does not cover the target knowledge base. - Symptom: When uploading a title and content to a specified knowledge base, the collection task fails. Cause: Custom fields required by the customer were not configured in
variables, causing theresponseDatareturned by the interface to not meet collection specifications.
How to Confirm Configurations Are Correct
- Send a simulated collection request, check if the returned
responseDataincludes all fields specified by the customer, and whether field formats and units match. - View the interface request logs to confirm that the
Authorizationparameter was carried correctly, and that the bound permissions cover the data source scope involved in the current task. - Adjust the sample scope parameter in
variablesonce, check if the interface can dynamically adapt to the new configuration without repeated modification of interface code. - Trigger an abnormal request such as carrying an undefined field, confirm that the interface returns a clear error prompt to facilitate subsequent troubleshooting.
The values given are common starting points and should be measured against the reader's own 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.