What the Data for This Category Looks Like
Data sources for residential development intelligent due diligence reports include publicly available land transfer and planning approval documents from natural resources departments, construction permits and pre-sale filing data from housing and urban-rural development departments, and project progress announcements publicly released by project parties. Data update frequency varies by stage: land-related approval data is updated immediately after the document is obtained, construction progress data is synchronized monthly, and compliant scanned documents are uploaded after archiving. The document structure primarily consists of structured ledgers paired with unstructured scanned files, including fields such as project location coordinates, land use term (years), planned construction area (square meters), number of individual buildings, and funded amount (ten thousand yuan). The length of individual documents varies widely. It is recommended to confirm based on statistics or actual measurements of in-house samples before finalizing settings.
What Constraints Do These Characteristics Impose on Deployment and Upgrade?
Residential development due diligence data includes multiple types of structured fields and unstructured scanned files, and update cycles are not fixed. These characteristics impose multiple constraints on deployment and upgrade processes. Structured fields follow clear units and industry standards, so custom mapping rules must be preset to avoid parsing deviations. The high proportion of unstructured scanned files requires adjusting memory allocation and timeout thresholds for OCR processing. Individual documents have large file sizes, so file upload size limits must be relaxed. The update nodes of different types of data vary significantly, so synchronization must support triggering based on project approval nodes or other custom conditions.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Residential development due diligence reports often include multiple high-definition scanned files and structured ledgers, so individual documents typically have large file sizes |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | OCR recognition and structured parsing of long documents require significant time, to avoid task interruption due to timeout mid-process |
WORKER_MEMORY_LIMIT | 8–12 GB | Sufficient memory is required to support complex text extraction and field mapping processes when parsing long documents in batches |
Incremental Sync Scheduling Cycle | Triggered by approval node | Updates for land, construction and other data do not follow a fixed cycle, so triggering based on project approval nodes aligns better with actual update rhythms |
Custom Field Mapping Rules | Preset industry standard fields including land use term (years), planned construction area (square meters), etc. | Fields for residential development due diligence follow unified industry standards, and preset mappings can reduce errors from manual adjustments |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume and business rules. Specific issues require targeted analysis, and it is recommended to perform actual tests on in-house samples before finalizing.
Three Common Mistakes
- After upgrading to version 4.14.0, the error
Failed to create post presigned urlappears when files are uploaded. This occurs because the access key and bucket permissions of the object storage are not correctly configured, or the original storage configuration was not synchronized and updated after the upgrade. - When creating a knowledge base in version 4.13.2, the error
worker terminated due to reaching memory limitappears. This occurs because theWORKER_MEMORY_LIMITparameter was not adjusted based on the parsing requirements of residential development long documents, resulting in insufficient memory resources. - After migrating deployment to a non-Docker environment, custom field mapping configurations are lost. This occurs because the configuration files from the original deployment were not exported, and the initialization process was directly executed on the new server, resulting in untransferred configurations.
How to Confirm Successful Configuration
A standard residential development intelligent due diligence report is uploaded, and the file upload progress is verified to complete normally without timeout or permission errors. The list of parsed structured fields is reviewed, and it is confirmed that the preset industry standard fields have been correctly extracted and matched with corresponding data. An incremental sync configured to run based on approval nodes is triggered, and the updated project data is verified to have been successfully synchronized to the knowledge base. System operation logs are reviewed, and it is confirmed that there are no error messages such as memory overflow, storage connection failure, or parsing timeout.
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.