Test Cases and Defect Analysis for Customer Data Import and Migration: Tool Calling and Plugins

Data sources for this category include CSV/Excel files exported from the customer’s existing business systems, database backup files, data exported

What This Category of Data Looks Like

Data sources for this category include CSV/Excel files exported from the customer’s existing business systems, database backup files, data exported via custom interfaces, and standard data templates provided by the customer. Data update frequency is adjusted irregularly alongside migration projects. Multiple updates may be conducted within a single project after adjusting field mappings based on customer requirements. Four core daily supporting documents are used: data templates, migration plans, field mapping tables, and migration verification reports. Fields fall into three categories: business identifiers, business attributes, and association relationships. There are no fixed unified units, and matching must be done based on specific business scenarios.

Constraints on the "Tool Calling and Plugins" Workflow

Data sources for this category are scattered and have inconsistent formats. Tool calling plugins must support multiple data source access methods, including CSV/Excel templates, direct database connections, and data exported via custom interfaces. Data update frequency is adjusted flexibly for each project, so plugins must support dynamic modification of field mapping rules without rebuilding the entire migration workflow. Core documents rely on field mapping rules, so plugin configurations must bind mapping table parameters to ensure execution logic aligns with the documents. Logs generated during the migration process must be capturable by plugins for subsequent defect tracing and analysis.

Configuration Recommendations

Configuration ItemRecommended SettingRationale
toolChoiceBind to the preset customer data migration toolEnsure tool calling aligns with the preset migration workflow and avoid parameter conflicts
functionCallProcess no more than 1000 data entries per single callAdapt to the conventional data volume of CSV/Excel templates and reduce memory usage of single calls
Timeout threshold600 secondsAlign with the database plugin timeout configuration rules of FastGPT v4.17.0, adapt to long connection scenarios for direct database connections, and avoid timeout interruptions caused by bulk data imports
Log capture levelRecord full execution logsFacilitate subsequent defect tracing and migration verification report generation
Field mapping bindingAssociate with the preset field mapping tableEnsure tool calling logic aligns with the mapping rules in business documents

Three Common Misconfigurations

  • Phenomenon: Database connection plugin call duration increases significantly compared to older versions, with single-batch import time exceeding expectations. Cause: The new version of the plugin enables full data validation logic by default, and the optimized configuration for single-batch data volume is not applied.
  • Phenomenon: Interface calls return a 413 error. Cause: The data volume transmitted in a single tool call exceeds the platform's preset limit, and batch processing is not implemented.
  • Phenomenon: Tool calling processes are not hidden as expected, and sensitive fields are exposed in execution logs. Cause: Log desensitization rules are not configured correctly, or the output parameters of toolChoice are not adjusted based on project requirements.

How to Verify Correct Configuration

  • Perform a single-batch import test with a small data volume, and check whether the tool call logs align with the preset mapping rules.
  • View the plugin configuration page to confirm that the migration tool bound to toolChoice matches the project documents.
  • Trigger a timeout test to verify whether the timeout threshold takes effect as required for the project.
  • Check whether the log capture switch is enabled, and confirm that complete import execution records can be obtained.

The values provided here are common starting points, and should be evaluated 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.