Deployment and Upgrade of Decoration and Fit-Out Intelligent Due Diligence Reports

Data sources for decoration and fit-out intelligent due diligence reports include qualification filing documents of decoration enterprises cooperating

What the Data for This Category Looks Like

Data sources for decoration and fit-out intelligent due diligence reports include qualification filing documents of decoration enterprises cooperating with financial institutions, project construction ledgers, material quality test reports, on-site survey images, and project filing data from housing and urban-rural development departments. Update rhythm follows project milestones: update basic information after contract signing, update progress weekly during the construction phase, and update acceptance data after project completion. Document structures mostly use multi-page mixed formats, including structured tables such as material lists and cost breakdowns, and unstructured text such as construction logs and acceptance opinions. Fields include Construction Area (square meters), Material Brand, Acceptance Qualified Date, Project Manager Qualification Level, and others. These fields require matching specific units and formats.

Constraints on Deployment and Upgrade Posed by These Characteristics

The high proportion of multi-page mixed formats and large-size attachments requires configuring sufficient parsing resources and timeout parameters during deployment to avoid parsing interruptions. The milestone-based update rhythm requires supporting incremental synchronization functionality during upgrades to avoid excessive server resource usage from full synchronization. The requirement for multiple fields with specific units requires configuring custom field mapping rules during deployment to ensure accurate units and formats of extracted data. The specific filing formats from housing and urban-rural development departments require supporting custom parsing templates during upgrades to adapt to filing requirements of different regions.

Configuration Settings

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS600 secondsDecoration due diligence reports often include multi-page construction logs and material test reports, which take longer to parse per file
UPLOAD_FILE_MAX_SIZE2000 MBA single completion report may contain large numbers of on-site photos and test PDFs, requiring support for large file uploads
maxContext800–1200 charactersDecoration data has many fields with clear units, requiring control of context length to avoid confusion
RECALL_TOP_KTop 6–8 entriesDue diligence reports need to associate information across multiple dimensions including qualifications, materials, and construction; excessive recall results in redundancy
TTS_MODEL_PATHCalibrate based on actual testingPrivate deployment requires adaptation to local model paths, which need adjustment based on hardware resources
SYNC_INCREMENTAL_INTERVALEvery 12 hoursDecoration project data is updated according to milestones, and incremental synchronization does not need to be triggered frequently

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Symptom: When deploying the QWQ-32B model locally, the chat window, simple application and workflow become unresponsive after uploading decoration-related attachments. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter was not adjusted, and parsing of large-size test reports or image attachments timed out and was interrupted.
  • Symptom: After upgrading from v4.8 to v4.9, openAPI module calls fail. Cause: Version v4.9 integrates openAPI into the interface management module in system settings. Keys and permissions need to be reconfigured in the corresponding path.
  • Symptom: Unable to generate speech after configuring a private TTS model. Cause: The TTS_MODEL_PATH parameter was not specified, and the compatibility between the model format and FastGPT was not verified.

How to Confirm Proper Configuration

  • Upload a typical decoration due diligence report containing a material list and construction logs, check the field extraction records in the parsing log, and verify that the extracted fields and units meet business requirements.
  • Call the openAPI interface to upload a test file, check whether the returned results include parsed text content, and confirm that the interface configuration is correct.
  • Start an incremental synchronization task, check the update records in the synchronization log, and confirm that the synchronization frequency meets the preset requirements.
  • Test the private TTS model call, check whether speech can be generated normally, and confirm that the model path and format configuration are correct.

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.