What the data for this category looks like
Footwear financial report data primarily comes from public company financial reports disclosed by domestic and overseas stock exchanges, quarterly/annual operating announcements officially released by brand owners, and industry retail monitoring databases. Update cadence: quarterly financial reports are updated every 3 months, annual financial reports once per year, and retail segment data is updated monthly. Document structures include core breakdowns of consolidated financial statements, plus fields such as footwear category revenue details, channel revenue amounts, inventory turnover days, and supply chain cost details. Units are based on Chinese yuan and days. There is no standardized unified format template, and disclosed fields vary across different brands.
Constraints imposed by these characteristics on tool calling and plugins
The multi-source, heterogeneous data nature of footwear financial reports requires tool calling plugins to preconfigure multiple sets of field mapping rules to adapt to differentiated field naming used by different brand disclosures. Differences in data update cadences across cycles require plugins to support dynamic switching of data pull ranges by quarter or month, to avoid loading unupdated or expired datasets. The wide range of category segments and inconsistent document structures require plugins to integrate custom field parsing logic, as fixed field extraction templates cannot be relied upon. Additionally, some revenue details must be extracted from unstructured announcement text, so plugins need to integrate lightweight text structured parsing capabilities to ensure accurate data extraction. Finally, the footwear scenario requires support for parameter configuration for filtering data by category dimension to adapt to segmented analysis needs.
Configuration Settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
plugin_field_mapping_strategy | custom_multi_source | Footwear brand financial report field naming varies widely, requiring custom mapping rules configured for different data sources |
data_fetch_time_range | last_3_quarters, last_1_year | Footwear financial report analysis requires balancing short-term quarterly data and long-term annual trends, supporting multi-cycle data pulls |
tool_call_timeout | 600 seconds | Financial report data pulling and structured parsing take significant time, requiring a sufficiently long timeout to prevent call interruptions |
max_tool_call_retries | 3 retries | Financial report data interfaces may experience temporary fluctuations, with reasonable retry times ensuring call success rates |
stream_response_enabled | true | Individual financial report datasets are large, with streaming responses improving analysis response speed and avoiding timeouts |
field_extraction_threshold | 0.75–0.90 | A confidence interval for field extraction must be matched to balance extraction accuracy and recall rate |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: Frequent
500 Bad Gatewayerrors occur during tool calls in version V4.12.3. Cause: The plugin call chain in this version contains an unpatched timeout handling vulnerability that cannot adapt to long-duration financial report data pulls. - Issue: Tool call plugins deployed in version V4.9.6 fail to recognize interfaces packaged with the SSE protocol, with a prompt indicating only stdio processes are supported. Cause: This version does not integrate SSE protocol plugin adaptation logic, and only supports stdio-type plugin calls.
- Issue: When
stream_response_enabledis set totrue, only partial segmented results are received, and the complete final analysis output cannot be obtained. Cause: Streaming result aggregation logic is not configured, and segmented returned data streams are not spliced according to the protocol. - Issue: Importing plugins in privately deployed version V4.14.1 triggers an
internal server errorprompt. Cause: The interface address configured for the plugin was not added to the system whitelist, or environment variables relied on by the plugin were not loaded correctly.
How to Confirm Proper Configuration
- Manually trigger a tool call for a single footwear financial report, check if the returned results include preset category revenue, inventory turnover, and other fields, to confirm that the field mapping rules are active.
- Review plugin call logs to confirm that the data pull time range matches the configured parameters, and no non-target cycle datasets were loaded.
- Enable streaming response mode, verify that segmented returned data streams can be fully spliced with no missing content.
- Adjust tool call retry times, simulate temporary interface fluctuation scenarios, and confirm that the retry logic executes normally.
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.