What the data for this category looks like
Data related to building construction project yield rates comes from three primary sources: project progress accounting ledgers, regional construction cost monitoring platforms, and building material supply chain settlement data. Two update schedules apply. Daily synchronization runs for same-day project progress accounting data. Weekly updates deliver regional cost benchmark reference values. This is a structured dataset with fields including project unique identifier, engineering sub-item type, unit cost, unit area revenue accounting items, building material cost proportion items, and accounting cycle identifier. Supported units include yuan per square meter, ten thousand yuan, and accounting cycle days. The number of records in a single dataset varies based on the scale of covered projects.
What constraints do these characteristics impose on deployment and upgrade workflows
The multi-source nature and periodic update schedule of building construction project yield rate data impose multiple constraints on deployment and upgrade workflows. First, daily progress accounting data and weekly regional cost benchmark data require different scheduled pull rules. During deployment, define trigger times for the two data types in advance. When upgrading plugins, update scheduled task compatible logic synchronously. Second, the data includes classification fields such as engineering sub-item type and accounting cycle. During deployment, configure field mapping rules to ensure consistent alignment of similar fields across different sources. When upgrading, retain compatible processing logic for legacy fields to prevent existing historical data from becoming unreadable. Third, the data includes accounting fields with units. During deployment, configure a unit standardization processing workflow. When upgrading, verify the new plugin’s parsing compatibility for unit fields.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
SYNC_DATA_CRON | 0 1 * * * | Daily project progress data for building construction projects is finalized at 1 AM, so configure daily synchronization at that time |
BENCHMARK_SYNC_CRON | 0 2 * * 1 | Regional cost benchmark data updates at 2 AM every Monday, so configure synchronization for that schedule |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Single building construction project datasets contain multi-project accounting data, so set a longer parsing timeout |
VECTOR_STORE_BATCH_SIZE | 500 records | Adapt to single-batch ingestion data volume to avoid overloading the vector store |
reranker_top_n | Top 8 results | Building construction project yield rate broadcasts require highly relevant project information; the top 8 re-ranked results cover core broadcast requirements |
UPLOAD_FILE_MAX_SIZE | 1500 MB | Adapt to dataset upload requirements for large building construction project clusters |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: After upgrading the PgVector plugin, existing building construction project yield rate vector data cannot be retrieved normally. Logs return a vector dimension mismatch error. Cause: The vector dimension parameter was not adjusted for the field structure of building construction project data. The default dimension of the new plugin does not match the dimension of previously ingested data.
- Issue: When executing the
docker-compose up -dcommand, pulling the Redis image fails, returning network timeout or image not found prompts. Cause: No image acceleration address was configured. Pull speed from the default public image source is limited, preventing the required image from being retrieved normally. - Issue: Field values appear empty in building construction project yield rate broadcast results. Unit area revenue data for some projects is not displayed. Cause: No field mapping rules were configured, and field names from different data sources were not aligned, resulting in some data failing to be ingested normally.
How to Verify Successful Configuration
- Review scheduled synchronization task logs to confirm daily progress data and weekly benchmark data are pulled and ingested per the preset schedule.
- Upload a test building construction project dataset, check that no timeout errors occur during parsing, and confirm file upload configurations meet expectations.
- Initiate a yield rate broadcast request, check that all returned result fields have undergone unit standardization processing, with no abnormal fields.
- Enter the plugin management page, confirm that the PgVector plugin version matches the current deployment version, with no version compatibility issues.
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.