What the Data for This Category Looks Like
This category of data comes from the real estate registration information system, cadastral survey database, housing transaction online signing system, tax system, and electronic certificate library, and is updated daily. Daily processed documents include registration applications, ownership certificates, surveying and mapping results, tax payment vouchers, real estate ownership certificates and registers. Fields cover real estate location, right type, right holder information, surveying and mapping area, tax amount, etc. Some documents are in structured table format, some are scanned documents or structured electronic files.
What Constraints These Characteristics Impose on the Deployment and Upgrade Link
Multi-system linked data sources require configuring cross-system permission docking and incremental synchronization logic during deployment. This avoids full-volume data pulling that occupies production resources. Mixed-type document structures require adapting different chunking rules for structured tables and unstructured text. This prevents cross-system field confusion. Daily update frequency requires retaining incremental synchronization configuration items during upgrades. This avoids business freezes caused by full-volume updates. Error consequences are linked to registration errors and administrative disputes. Deployment and upgrade links must strengthen data verification and tamper-proof storage configurations.
How to Configure the Settings
| Configuration Item | Recommended Value | Basis for This Setting |
|---|---|---|
MONGODB_URI | mongodb://admin:securepass@mongodb-host:27017/<real-estate-registration>?authSource=admin | Connects to structured business data from the real estate registration information system, enabling persistent storage of file information |
REDIS_URL | redis://:redispass@redis-host:6379/1 | Caches metadata for daily incremental synchronization, reducing repeated request frequency when pulling data from multiple systems |
STORAGE_S3_ENDPOINT | http://minio.egov.gov.cn:9000 | Stores scanned ownership certificates and surveying and mapping result files, meeting persistent storage needs for multi-format unstructured documents |
| Data Source Synchronization Frequency | 2:00–4:00 AM daily | Avoids peak business hours, reducing performance load on production systems |
| Chunking Rules | Adapt by document type: structured tables are split row by row, unstructured text is split into 800–1200 character segments | Matches the mixed structure of real estate registration documents, preventing review errors caused by cross-field concatenation |
| Maximum Context Window | First 8000 tokens | Meets the full context requirements of single-file review, avoiding truncation of critical ownership information |
Three Common Mistakes
- Phenomenon: Structured Excel tables are imported with chaotic chunking, with fields concatenated across rows. Cause: The row-by-row chunking rule for real estate registration structured tables was not configured. Using generic automatic chunking logic leads to field misalignment.
Reference only; verify against the target FastGPT release and deployment documentation.
- Phenomenon: MongoDB container connection fails after source code deployment, with logs showing connection timeout. Cause: The address and port in
MONGODB_URIwere not configured correctly, and access permissions for MongoDB were not opened in the container network.
How to Verify Proper Configuration
- Run an incremental synchronization task, verify that the number of synchronized documents matches the daily business update volume.
- Upload a standard real estate registration application, check that chunking results are split according to rules, with no cross-field concatenation.
- Start a workflow test, input a simulated file review request, confirm that multi-system data sources can be called and verification results are returned.
- View the Redis monitoring dashboard, confirm that cache hit rate is stable, with no log records of frequent full-volume data pulls.
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 2026-09-28.