What the data for this category looks like
Data for consumer building materials intelligent due diligence reports comes primarily from manufacturer factory quality inspection reports, supply chain inventory ledgers, housing and urban-rural development department product filing databases, and e-commerce platform SKU parameter pages. Data update rhythms fall into two categories: batch updates and scheduled updates. Manufacturer quality inspection reports are updated per production batch. Inventory ledgers are updated daily. Filing data is updated quarterly. Single report document structures include fields such as product model, implementation standard number, core test items (like tensile strength, water absorption), batch number, production date, and supplier qualification documents. Field units include professional measurement identifiers such as MPa, %, square meters, kilograms.
What constraints these characteristics impose on deployment and upgrade
Configure multi-data source access adaptation rules during deployment for multi-source heterogeneous data. This prevents inconsistent parsing of different-format quality reports and ledgers. Configure incremental sync tasks with distinct settings for data with varying update frequencies. Adjust scheduled sync trigger frequencies during upgrades to match data source update cycles. Configure field mapping and unit conversion rules for specialized fields and units. This avoids unit confusion or missing fields after data parsing. Adjust parsing timeout and upload limit parameters during deployment to fit business scale, as large-volume bulk imported documents increase parsing pressure.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single bulk building material quality inspection reports contain multiple pages of test data, resulting in long parsing times |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports bulk importing multiple batches of building material test documents and ledger files |
maxContext | 800–1200 characters | Fits the length of specialized building material parameter fields to avoid truncation of critical test data |
RECALL_TOP_N | Top 8 entries | Covers multi-dimensional supplier, product parameter, and filing information required for due diligence |
SIMILARITY_THRESHOLD | 0.75–0.85 | Meets the precision requirements for matching specialized building material terminology, preventing low-relevance results from being included |
CRON_SYNC_INTERVAL | Every 4 hours | Adapts to the daily update rhythm of inventory data, balancing sync delay and resource usage |
The parameter values provided on this page are common recommended 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 errors
- Symptom: All self-built intelligent due diligence applications disappear after a version upgrade. Cause: Persistent storage volumes were not mounted during the upgrade, so application configurations and knowledge base data were not retained.
- Symptom: FastGPT cannot connect to dependent components such as Redis and MongoDB after configuring a custom network. Cause: Not all dependent services were added to the same custom network, resulting in network isolation that prevents communication between components.
- Symptom: After upgrading to version 4.9.8, the root user password is automatically reset to the initial value every day. Cause: Persistent storage parameters for the password were not configured in docker-compose.yml, and dependent service configurations were not persisted.
How to confirm configurations are properly set
- Upload a complete consumer building material quality inspection report. Verify that parsed fields fully match preset mapping rules, and that unit conversions meet business requirements.
- Trigger an incremental sync task. Confirm that the number of synced documents matches the number of documents updated by the data source on the current day, with no missing or duplicate syncs.
- Call the intelligent due diligence interface. Check that the number of returned results and similarity match preset configurations, and that specialized terminology matches with no obvious deviations.
- Restart the FastGPT service. Confirm that application configurations, sync tasks, and knowledge base data have not changed, verifying that persistent configurations are effective.
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.