What this category's data looks like
Three main channels supply decoration industry profit rate and market trend data: public cost guidance prices released by regional construction decoration associations, daily quotation systems of building material supply chain enterprises, and finalized settlement data from decoration project management platforms. Data updates follow a natural day cycle. Full synchronization of the previous day’s data completes each early morning. Each daily report document splits into two categories: home decoration and commercial decoration. It includes fields such as region identifier, building material subcategory name, basic unit price, labor hourly unit price, average project profit margin value, and statistical cycle identifier. Unit prices use yuan per square meter or yuan per working day as the measurement unit. Profit margin values round to two decimal places.
How these characteristics impose constraints on model access and configuration
The multi-source, scattered nature of decoration market data requires configuring multi-data source verification rules during model access. This prevents invalid data from entering the system. The natural day update cycle requires scheduled trigger configuration items to match the daily early morning synchronization window. This ensures the latest data is retrieved when called. The multi-field split document structure requires model input prompts to clearly specify mapping rules for fields such as region and building material subcategory. This avoids deviations in output format. The pure numeric format requirement for the profit margin field requires enabling strict output format verification in model configuration. This prevents non-numeric content from interfering with subsequent reporting. The multi-dimensional classification of region identifiers requires splitting dataset configuration by region and category. This improves model recall accuracy.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
promptTemplate | "Please generate the daily profit rate and market trend report based on the following decoration market data: {context}. The output must include the fields: region, building material subcategory, basic unit price, labor hourly unit price, and profit margin. Use only numeric values for all fields" | Matches the multi-field structure of decoration data, clearly specifies required fields and unsigned numeric requirements |
dataSyncCron | "0 2 *" | Matches the industry data synchronization window at 2 AM daily, ensuring the latest data is retrieved when called |
strictOutputFormat | "Enabled" | Adapts to the pure numeric format requirement for the profit margin field, avoiding unexpected symbols or text in outputs |
datasetSplitByTags | Split by "region + building material subcategory" | Matches the document structure split by category and region, improving the precision of model recall |
maxContext | "8000–12000 characters" | Adapts to the average length of a single daily report document, avoiding context overflow |
apiTimeout | "300 seconds" | Adapts to response delays from multi-data source connections, preventing timeout interruptions during data retrieval |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material types, 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
- Phenomenon: After calling the model, the output deviates from the preset daily report format, with missing fields or irrelevant text included. Cause: The field mapping rules for decoration data are not clearly specified in
promptTemplate, causing the model to fail to generate content in accordance with category requirements. - Phenomenon: When deploying a model locally, submission of the
apiKeyandmodelNamefields fails, with the system prompting that required items are incomplete. Cause: ThemodelNamefield is not correctly filled with the actual deployed model identifier for the locally deployed model, and the mandatory verification requirement for cloud-sideapiKeyis not skipped. - Phenomenon: When accessing the platform via a bound domain name, the configured model list is empty, and the dataset is inconsistent with that accessed via IP. Cause: No domain whitelist is configured, causing the platform to restrict cross-domain model configuration synchronization, leading to data inconsistency.
How to confirm successful configuration
- Manually trigger a data synchronization, check the number of returned entries in the synchronization log, and confirm it matches the valid data volume provided by the data source.
- Send a test request, input a preset fragment of decoration market data, and verify that the model output includes all specified fields and meets the preset format requirements.
- Enter the dataset management page, confirm that the dataset has been grouped by region and building material subcategory, and that the grouping tags match the configuration rules.
- Access the platform using the bound domain name, verify that the model list is consistent with that accessed via IP, with no missing configuration items.
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.