Deployment and Upgrade for Infrastructure Engineering Yield

What the Data for This Category Looks Like

Data related to infrastructure engineering yield is sourced from project financial accounting systems, engineering supervision progress reports, and project filing data from local housing and urban-rural development departments. Data updates occur on a monthly basis. Full data updates are completed 2 to 3 business days after the end of each calendar month's settlement cycle. Data is provided in structured table format, including fields such as project unique identifier, section location, current completed engineering volume, current input cost, current unit input profit amount, cumulative unit input profit amount, and cost breakdown proportion. Engineering volume units are cubic meters and square meters. Cost and profit units are yuan. Breakdown proportions are presented as decimal values.

Constraints Imposed on Deployment and Upgrade

The multi-source access feature of infrastructure engineering yield data requires parallel synchronization interfaces for multiple data sources during deployment. This prevents overall reporting interruption from single data source failure. The monthly update rhythm requires scheduled sync tasks to match the project settlement cycle. Too short a sync interval will consume unnecessary system resources. The fixed structured table field format requires precise field mapping rules. Generic document parsing templates cannot be used directly. Diverse unit types require unit conversion logic during deployment. This unifies different breakdown data into system-recognizable formats. The upgrade phase must support dynamic field expansion. This adapts to new cost breakdown fields such as environmental protection and safety for infrastructure projects. Hard-coded field lists will cause data parsing failures after upgrade.

Configuration Recommendations

Configuration Item	Recommended Value	Rationale
`DATA_SYNC_CRON`	`0 0 2 1 * *`	Matches the monthly settlement cycle of infrastructure projects. Runs sync at 2 AM on the 1st of each month to avoid occupying business hours
`PARSE_FIELD_MAPPING`	`project_id: project unique identifier, current_output: current completed project volume, current_cost: current input cost, current_profit: current unit input income`	Matches standard field names of infrastructure engineering yield documents. Ensures consistency between data source output and system parsing rules
`DATA_UNIT_CONVERT_ENABLE`	`true`	Adapts to diverse units such as cubic meters and yuan in documents. Unifies conversion to the system's default measurement and pricing units
`SYNC_RETRY_TIMES`	`3 times`	Addresses potential temporary network fluctuations in infrastructure data sources. Reduces the probability of first sync failure
`UPGRADE_FIELD_AUTO_ADD`	`true`	Supports automatic loading of new cost breakdown fields added by infrastructure projects. No manual configuration modification required

The parameter values provided on this page are general recommendations for establishing configuration baselines. Actual values are affected by material forms, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Errors

The oneapi container restarts continuously after deployment. Container logs return exit code 137 or OOM killed. Cause: Memory quota for the oneapi container is not restricted. Local model loading memory exceeds the allocated limit.
After configuring an external database connection, no new data appears in the knowledge base list. The frontend displays an empty data prompt. Cause: Incremental pull rules for database synchronization are not configured. Only full pull is performed, leading to timeout failure on first sync.
After configuring an external website as a knowledge base data source, search results are empty. System logs return a request timeout error. Cause: No firewall or proxy rules are configured. FastGPT cannot access the public data interface of the external website.

How to Verify Successful Configuration

View the execution logs of the scheduled sync task. Confirm the status of the most recent sync task is success. Verify the number of synced data matches the number output by the data source.
Manually trigger a data sync task. Check that the fields returned by the system exactly match the configured PARSE_FIELD_MAPPING, with no missing or incorrect fields.
Call the yield reporting interface. Confirm the returned results include all configured fields, and unit conversion meets expectations.
Check the system interface after upgrade. Confirm new cost breakdown fields have been automatically loaded. No manual configuration modification is required.

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.