What the Data for This Category Looks Like
Data sources for home goods marketing include product management systems of partner home goods brands, e-commerce platform data from financial institution partnerships, offline dealer inventory ledgers, and exclusive marketing material libraries for financial scenarios. Update frequencies vary: new SKUs are updated every 1-2 weeks, promotional marketing materials are updated alongside campaign cycles, and user review data is synced daily. Document structures primarily use structured tables, including SKU lists and product parameter sheets, paired with unstructured rich-text marketing material packages containing graphics, short video scripts, and similar content. Fields include SKU number, product name, material, specification and size (units are mostly centimeters and kilograms), recommended retail price, target audience, marketing tags. Some material documents include dedicated fields such as material ID and release channel requirements.
Constraints on Tool Calling and Plugins
The data characteristics of home goods impose multiple constraints on the tool calling and plugins workflow. The mixed document structure of structured SKU data and unstructured marketing materials requires tools to be configured with multi-type document parsing rules to distinguish and process table-based lists and rich-text materials. The differing update rhythms across data sources requires synchronization tasks to adapt to the 1-2 week new SKU update cycle and promotional material updates tied to campaign cycles, to avoid data lag or redundant pulls. The diversity of field units requires plugins to include built-in unit conversion logic to ensure consistent fields across data sources. The variety of marketing material formats requires plugins to support parsing multiple file types including graphics and short video scripts, and adapt to material specifications for different marketing channels.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Home goods marketing materials often include long graphics or short video scripts. 300 seconds covers most parsing durations and avoids timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 200 MB | Home goods marketing materials may include high-resolution product image packages and long video script documents. 200 MB covers most bulk material upload requirements |
DEFAULT_PARSE_SEGMENT_LENGTH | 800–1200 characters | Home goods product detail copy and marketing scripts are mostly coherent paragraphs. This segment length preserves semantic integrity and avoids breaking marketing logic during splitting |
RECALL_TOP_K | Top 8 entries | Home goods marketing content must balance product attributes and scenario adaptation. Too many recalled results cause information redundancy, while too few fail to cover core selling points |
TOOL_API_ALLOWED_DOMAINS | *.jd.com, *.taobao.com, brand-owned domains | Home goods marketing data mostly comes from e-commerce platforms and brand-owned systems. Configuring allowed access domain ranges ensures secure data pulling |
FILE_PARSE_FORMAT | auto | Home goods materials include multiple formats such as tables, graphics, and scripts. Automatic parsing mode adapts to multiple file types and reduces manual configuration costs |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: Document URLs passed during API calls return connection timeouts or 403 errors, making target document content unavailable. Cause:
TOOL_API_ALLOWED_DOMAINShas not been configured to allow the domain of the URL, resulting in network requests being blocked during tool calling. - Issue: In a locally deployed FastGPT instance, tool connection settings match those in Navicat but connection fails. Port status is confirmed normal during troubleshooting. Cause: Access permission whitelists for data sources have not been configured in the tool calling runtime environment, restricting requests from untrusted sources.
- Issue: Generated home goods marketing copy displays product sizes in both centimeters and millimeters, causing data logic confusion. Cause: The plugin's built-in automatic unit conversion function has not been enabled, and unit differences in home goods fields have not been unified.
How to Confirm Proper Configuration
- Upload a single home goods SKU spreadsheet document, check that all fields in the parsed results are fully extracted and units are consistent.
- Configure the tool's allowed access domain list, send a test request to the target e-commerce document URL, and confirm no blocking errors occur.
- Review tool calling runtime logs to confirm that synchronization task update cycles match the update rhythm of home goods data, with no duplicate or missed pull records.
- Initiate a bulk marketing material upload test, check that the upload process proceeds normally and no failure prompts appear due to size limits.
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.