What the data for this category looks like
Three categories of sources provide data for property management intelligent due diligence reports: internal property operation and maintenance ledgers, government housing and urban-rural development department filing platforms, and third-party operation service provider APIs. Structured data includes fields such as building number, equipment model, maintenance date, repair response time, and number of owner repair requests. Units include hours, counts, and similar measures. Unstructured data includes attachments such as inspection photos and scanned rectification notices. Structured ledger data updates monthly. Unstructured inspection data uploads after each single inspection is completed. Real-time public facility operation data synchronizes at a higher frequency. The document structure centers on a core structured field table, with supplementary unstructured attachments.
What constraints these characteristics impose on the "tool calling and plugins" link
Property management due diligence data has dispersed sources. Multiple sets of authentication rules must be adapted. The tool calling link must support multi-source authentication configuration. Different data types have significantly different update rhythms. Differentiated pull cycles must be configured for different data sources. Data includes both structured fields and supporting unstructured attachments. Plugins must support both structured field parsing and OCR recognition of image attachments. Some fields use specific units. Preset field mapping rules must be used during tool calling. This avoids report content deviations caused by unit conversion errors.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
auth_type | multi_source_oauth | Property management due diligence data comes from internal systems, government filing platforms, and third-party operation APIs, requiring support for multiple sets of authentication rules |
trigger_cron | */5 * * * * (real-time operation data), 0 0 1 * * (monthly ledger data) | Different data sources have significantly different update rhythms, requiring matching pull cycles |
field_mapping | Map according to property management data standards | Differences exist between property management data fields and the fields required for due diligence reports. Preset mapping rules are needed to unify formats |
enable_attachment_ocr | Enabled | Due diligence reports need to include unstructured attachments such as inspection photos and rectification notices. OCR is required to extract text content |
max_tool_call_time | 300 seconds | Multi-source data pulling and OCR processing take a long time. A reasonable timeout threshold must be set to avoid interruptions |
mcp_adapter_mode | fastgpt_standard | Adapts to the platform's native plugin calling format, compatible with multi-source data access and report generation processes |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing the configuration.
Three common mistakes
- A call to a third-party operation service provider API returns
400 Bad Request, with a format incompatibility prompt. Cause: The interface request format is not configured to match the standard specified bymcp_adapter_mode, and a non-adapted format is used to initiate the call. - Field unit confusion occurs when generating due diligence reports. For example, "repair response time" displays in a non-preset unit. Cause: No unit conversion rule is added to the
field_mappingconfiguration, and the original data source's unit field is used directly. - When a code generation plugin is called, the generated code cannot adapt to the field structure of property management data. An
AttributeErrorreturns after execution. Cause: No preset field template exclusive to property management is added in the plugin configuration, and general code generation logic is used directly.
How to confirm the configuration is complete
- Check the authentication status on the plugin configuration page. Confirm that all multi-source authentication rules have passed verification.
- Manually trigger a tool call. Check that the returned structured data fields match the preset
field_mappingrules. - Upload a test inspection photo. Confirm that the OCR recognition result correctly extracts text and adds it to the temporary data pool.
- Check the scheduled task log. Confirm that pull tasks for different data sources execute normally according to the cycle specified in the
trigger_cronconfiguration.
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.