What This Category’s Data Looks Like
Data related to building construction project yield rates mainly comes from regional cost guidance prices released by municipal housing and construction departments, cost settlement documents from project completion filings, and monthly monitoring reports from third-party industry cost consulting institutions. Regional guidance prices are updated monthly. Industry monitoring data is updated weekly. Completion settlement data is archived along with project cycles.
Each data entry includes fields such as the affiliated administrative region, building type, single-building floor area, unit cost benchmark value, sub-project cost proportion, market adjustment coefficient, and others. The unit cost benchmark value is measured in yuan per square meter of building area. Sub-project proportions are recorded as decimal values. Market adjustment coefficients are dimensionless numerical values.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
Multi-source data characteristics require tool calls to adapt to multiple data source formats and authentication methods. For example, official APIs require API key authentication, and local archived files need support for CSV and document parsing.
Different update frequencies require separate configuration of tool scheduled trigger rules. This avoids frequently pulling outdated data or delaying access to the latest guidance prices.
Structured sub-fields require targeted mapping of tool parsing rules. Generic field extraction templates cannot be reused directly.
Unified unit requirements mandate data format validation before calling. This prevents calculation deviations caused by mixed units across regions or categories.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
data_source_type | Select "Official API", "Third-party CSV", "Project Archive Parsing" based on data source type | Matches the multi-source characteristics of building construction project yield data, avoids generic data source adaptation deviations |
update_cron | 0 0 2 * * (0:00 on the 2nd of each month), 0 0 * * 1 (0:00 every Monday) | Corresponds to the monthly update rhythm of regional guidance prices and weekly update rhythm of industry monitoring data |
field_mapping_rule | Map in the order of "Region - Building Type - Unit Cost Benchmark Value - Sub-project Cost Proportion" | Matches the structured field order of building construction project data, reduces parsing errors |
parse_timeout | 600 seconds | Adapts to the time consumption requirements of multi-data source parsing, avoids timeouts triggered by large data volumes |
unit_verify_switch | Enabled | Validates the "yuan per square meter of building area" unit for unit costs, prevents mixing of cross-category data |
plugin_auth_mode | Configure "API Key", "OAuth2 Authorization", "Local File Reading" based on the data source | Matches the authentication requirements of different data sources, ensures legal data pull permissions |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Calling logs return the
400 Invalid JSON payload received. Unknown nameerror. The cause is an incorrect field mapping rule, where the building construction-specific "sub-project cost proportion" field is mistyped as a generic field, leading to abnormal JSON format. - PgVector plugin upgrade fails. The cause is failure to back up historical cost vector data of building construction projects in advance. Changes to the vector index structure during the upgrade process lead to data loss.
- Model channels return abnormal data. The cause is failure to enable
unit_verify_switch, leading to confusion of cross-region unit cost values and triggering parameter verification failure.
How to Confirm Configuration Is Complete
- Manually trigger a tool call, and check if the returned JSON data fields include building construction-specific fields such as "Region", "Building Type", "Unit Cost Benchmark Value".
- Check the plugin's scheduled task logs to confirm that the latest data for the corresponding cycle was successfully pulled at the specified trigger time.
- After enabling
unit_verify_switch, verify that the tool intercepts data from data sources with non-compliant units. - Call the text extraction tool to confirm that the sub-project cost proportion field in building construction settlement documents can be correctly extracted.
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.