Data Profile for This Category
Data sources for decoration and renovation intelligent due diligence reports include qualification documents submitted by construction parties, quotation sheets from material suppliers, on-site supervision inspection records, and owner acceptance documents. Data is updated in stages alongside project construction progress, covering core milestones such as site mobilization, concealed works, and project completion. Documents use mixed formats, including PDF qualification scans, Excel material lists, Word construction logs, and other file types. Fields include construction period (unit: days), material unit price (unit: yuan per square meter), acceptance node status, project manager qualification number, and more. Some fields use enumeration types, while others use numeric types.
Constraints for Workflow Orchestration
The mixed-format nature of decoration and renovation due diligence data requires workflows to include linked multi-format parsing nodes. This prevents information loss from single-format parsing. The staged update property requires workflows to support triggering by project nodes, to align with the progress rhythm of decoration projects. Fields include quantified data with clear units and enumeration-type status fields. This requires workflows to configure field mapping nodes for numeric and enumeration types, to avoid parameter type mismatches. Data includes owner privacy information. This requires workflows to integrate data desensitization nodes, to ensure compliance with information processing regulations.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Decoration and renovation material list Excel files, construction log Word files, and similar documents take longer to parse. 600 seconds covers most single-file parsing requirements, and aligns with the node parameter rules of FastGPT v4.15 |
multi_format_parse_enable | Enable all supported formats | Decoration due diligence data includes multi-format documents such as PDF qualification files, Excel quotation sheets, and Word inspection records. Full-format parsing adaptation is required |
field_mapping_threshold | 0.85–0.95 | A large number of approximate fields exist in decoration data, such as "material unit price" and "main material unit price". A higher threshold filters incorrect matches and improves field mapping accuracy |
data_desensitization_switch | Enable desensitization for owner phone number and address fields | Decoration due diligence reports include owner privacy information. Sensitive field content must be replaced to comply with regulations |
workflow_trigger_mode | Trigger by project node | Decoration project data is updated in stages across construction phases. Workflows must trigger to match project progress, to align with staged update rhythms |
segment_length | 800–1200 characters | Decoration construction logs consist mostly of long text passages. This segment length balances context coherence and model input limits |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: A "node parameters not properly filled" prompt appears during workflow debugging, with a 400 status code returned. Cause: Decoration due diligence data includes a large number of custom fields. No corresponding mapping rules are configured in the node, resulting in missing required parameters.
- Symptom: Special characters are lost in parsed documents, such as double quotation marks and commas that fail to be recognized correctly. Cause: Multi-format parsing special character compatibility configuration is not enabled, or the
segment_lengthsetting does not cover long text passages containing special characters. - Symptom: Benchmark test results have large deviations, with inconsistent outputs across different models. Cause: Decoration and renovation industry-specific due diligence datasets are not used as test samples. Only general datasets are used for validation, which cannot match industry field characteristics.
How to Confirm Proper Configuration
- Upload a real Excel material list from a decoration and renovation project. Check if the parsed fields from the workflow match the original data, to confirm the
field_mapping_thresholdconfiguration is reasonable. - Trigger a workflow run. Check the system logs for timeout or parsing failure error messages, to verify that the
PARSE_FILE_TIMEOUT_SECONDSvalue matches the current file size. - Enable the
data_desensitization_switch, then generate a test report. Verify that owner phone number and address fields are replaced with desensitization identifiers. - Run a benchmark test, using the dedicated test dataset to compare outputs across different models. Confirm that the test configuration meets the scene requirements of the decoration and renovation industry.
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.