What Data for This Category Looks Like
Data for glass financing daily reports is aggregated from daily financing ledgers of the national public service platform for construction material warehouse receipts and local building material industry associations. Data updates run once per day, with full synchronization of the previous trading day’s data completed by 8:00 each day. Temporary supplementary updates only cover small-value pledge records added before 16:00 on the same day. Data is stored in structured table format. Each row corresponds to one glass warehouse receipt pledge financing record, with fields including registration institution code, glass category name, nominal thickness, warehouse receipt area, total number of pledge documents, financing amount, warehouse receipt valuation, financing party’s unified social credit code, registration date, and more. Area is measured in square meters, amount in ten thousand yuan, and thickness in millimeters.
Constraints Imposed on Tool Calling and Plugins
The fixed daily update schedule requires tool calls to use a fixed fetch window, to avoid pulling incomplete data that has not completed synchronization. Multiple numerical fields with units require plugins to configure unified unit mapping rules, to align thickness, area, and amount fields from different sources to standard specifications. The temporary supplementary update mechanism requires plugins to support incremental fetch logic, filtering new records added after 16:00 on the same day via the registration date field, to avoid repeated pulls of existing data. The structured table format requires plugins to include a built-in CSV parsing adapter, and to validate the completeness of required fields, to prevent call failures caused by missing fields.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
fetch_timeout | 600 seconds | Adapts to the fetch duration of the full glass financing daily report data source, to avoid call interruptions caused by large data volume |
unit_conversion_rule | {"Nominal Thickness": "mm", "Warehouse Receipt Area": "sqm", "Financing Amount": "ten thousand yuan"} | Unifies unit formats across data sources, ensuring parsed fields align to standard specifications |
incremental_sync_enabled | true | Enables incremental fetch logic, only synchronizing records added after 16:00 on the same day, reducing redundant data processing |
required_fields | ["Registration Date", "Glass Variety Name", "Financing Amount"] | Configures required validation fields, filtering invalid financing records missing core information |
parse_mode | structured_csv | Selects structured CSV parsing mode, adapting to the standard output format of the data source, reducing parsing error rates |
retry_max_times | 3 | Sets maximum retry times, responding to temporary fluctuations in the data source interface and improving call stability |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Errors
- Symptom: Tool calls return results with excessive latency or trigger the
ETIMEDOUTerror code. Cause: Thefetch_timeoutconfiguration is not adjusted for the full data scale of the glass financing daily report, and the default short timeout setting is used, resulting in call interruptions before data fetching finishes. - Symptom: Data field units are inconsistent after plugin parsing, with some thickness values not matching actual specifications. Cause: The
unit_conversion_ruleparameter is not configured, and unit formats across data sources are not unified, leading to inconsistent field specifications after parsing. - Symptom: Tool calls return a large number of duplicate existing financing records. Cause: The
incremental_sync_enabledconfiguration is not enabled, and the登记日期field is not used to filter new records added on the same day, resulting in full repeated pulls.
How to Verify Proper Configuration
- Run a single full fetch, check if the returned records include the latest registration date data from the current day, and verify that units are unified as millimeters, square meters, and ten thousand yuan.
- Configure an incremental fetch task, check if returned records only include financing entries added after 16:00 on the same day, with no duplicate existing data.
- Simulate a temporary interface fluctuation scenario, trigger a tool call retry, confirm that the system automatically executes retries and the count matches the preset configuration.
- Submit test data with missing required fields, check if such data is filtered, and only records with complete core information are retained.
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.