What the data for this category looks like
The data sources for coatings, inks and financing daily reports are the basic chemical industry financing monitoring database, local small and medium-sized enterprise financing public platforms, and supply chain finance filing systems. Updates follow a daily schedule. Same-day financing data is collected by the next morning. The documents are structured batch files. Each record includes financing entity name, financing method, financing amount, connected financial institutions, public announcement date, and affiliated coatings and inks sub-sector. Financing amount is uniformly marked in ten thousand yuan. The region field uses provincial administrative division names. Sub-sector field tags include architectural coatings, ink resins, industrial coatings, and similar categories.
What constraints do these characteristics impose on the tool calling and plugins workflow?
The multi-source, scattered data sources for coatings, inks and financing daily reports require configuring multi-data source authentication and field aggregation plugins in the tool calling flow. These plugins adapt to the interface formats of different platforms. The daily update timeliness requirement mandates fixing the tool trigger cycle to once per day. This avoids rate limits triggered by high-frequency calls. Structured fields include customized content such as sub-sectors and ten thousand yuan units. Configure a data cleaning plugin to complete unified field mapping and unit verification. This prevents parsed data from becoming disorganized. The batch structured document format requires enabling batch parsing parameters. This avoids performance loss from single record calls. The field integrity requirement for financing data means configuring a null value filtering plugin. This removes records missing core information.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
tool_request_rate_limit | 10 times per minute | Adapts to the call volume of daily batch data, avoids triggering 429 errors, and matches the interface quotas of most financing data sources |
plugin_schedule_cron | 0 0 6 * * * | Matches the data collection completion time of most data sources for same-day data, ensuring access to the latest financing daily reports |
tool_field_mapping | Map according to the rules: "financing entity name → entity name", "amount → financing amount (ten thousand yuan)", "category → sub-sector" | Unifies field names across multiple data sources, adapting to subsequent data processing logic |
plugin_parse_format | JSON Lines | Adapts to the batch structured file format of financing daily reports, improving parsing efficiency |
tool_timeout_threshold | 300 seconds | Adapts to the processing duration of multi-source data aggregation, avoiding timeout failures caused by data volume fluctuations |
plugin_validate_required_fields | financing entity name, financing amount, public announcement date | Ensures each financing record includes core information, filtering invalid data |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Symptom: Tool calling returns the 429 Request rate increased too quickly status code. Cause: The
tool_request_rate_limitparameter is not configured, or its value exceeds the quota limit of the financing data source interface. - Symptom: When enabling the financing data aggregation plugin in the beta4 version, plugin verification fails and returns a MongoServerError-related error. Cause: The MongoDB driver version relied on by the plugin is incompatible with the 4.4.29 version of the deployment environment, and no compatible driver version configuration is specified.
- Symptom: The public announcement date field in the parsed financing daily report does not match the system's current time. Cause: The
tool_timezoneparameter is not configured, and no time output format adapted to the domestic time zone is specified, resulting in time field offset.
How to Confirm the Configuration is Correct
- Check the tool calling logs to confirm that the trigger frequency matches the
tool_request_rate_limitconfiguration value, and no 429 status codes are returned. - Perform a manually triggered tool call, check that the parsed fields match the
tool_field_mappingconfiguration, and no required fields are missing. - Check the plugin running logs to confirm that there are no MongoDB connection errors, and the driver version matches the deployment environment.
- Compare the financing daily report data obtained by the tool with the publicly announced same-day financing information to confirm data timeliness and accuracy.
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.