What Data for This Category Looks Like
The data for decoration industry research reports comes primarily from industry reports released by industry associations, public project retrospectives of listed decoration enterprises, and real-time monitoring data from third-party building material supply chains. Update cycles fall into two categories: fixed-cycle and real-time. Overall industry trend reports are released monthly, special project cost reports are released quarterly, and building material price data is updated hourly.
The document structure includes four modules: project case details, material selection parameters, construction technology standards, and policy compliance clauses. Core fields include decoration project building area (unit: ㎡), main material unit price (unit: yuan/㎡), construction period (unit: days), compliance document number, as well as metadata such as research report publishing institution and publishing date.
Constraints Imposed on HTTP Interfaces and External Systems by These Characteristics
The multi-dimensional structured fields and differentiated update cycles of decoration industry research reports impose clear constraints on HTTP interfaces and external systems.
- Support dynamic input of variable search conditions such as decoration category, region, and report type to meet the precise query needs of different users.
- Fix the units and meanings of returned fields to prevent business errors caused by incorrect unit parsing.
- Compatibility with varying update frequencies across data sources, and support filtering research report data of different cycles using time ranges.
- Handle differences in authentication rules across data sources. Some third-party data sources require exclusive request header parameters to complete authentication.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
HTTP_REQUEST_TIMEOUT | 30 seconds | Decoration industry research reports contain large volumes of structured engineering data; a standard 10-second timeout cannot complete full requests |
REQUEST_HEADERS | Configure Content-Type: application/json and Authorization: Bearer ${API_KEY} | Most industry research report data sources use JSON format for transmission and Bearer Token for authentication |
RESPONSE_FIELD_MAPPING | Map by field name: project_area → building area (㎡), main_material_price → main material unit price (yuan/㎡) | Structured fields in decoration industry research reports have fixed units; clear mapping is required to avoid parsing deviations |
DB_CONNECTION_CHARSET | utf8mb4 | Required to store Chinese research report content, special symbols, and regional codes to avoid garbled text issues |
REQUEST_RETRY_TIMES | 2 times | Address temporary fluctuations in third-party data sources and reduce interface call failure rates |
API_AUTH_TYPE | Bearer Token | Aligns with authentication standards used by most industry research report data sources |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material forms, data volume, and business rules. Specific issues require targeted analysis, and testing with internal samples is recommended before finalizing settings.
Three Common Errors
- Symptom: HTTP request returns empty results or mismatched search fields. Cause: No placeholder rules for variable input parameters are configured, making it impossible to dynamically pass search conditions such as decoration category and region.
- Symptom: Research report content stored in the MySQL database displays garbled text. Cause: The database connection character set is not configured as
utf8mb4, so Chinese and special symbols cannot be parsed correctly. - Symptom: FastGPT calls the interface and returns a 403 status code, but the call via Postman works normally. Cause: The
User-AgentorAuthorizationparameters in the request header are not configured correctly, failing to match the interface's verification rules.
How to Confirm Proper Configuration
- Access the HTTP module debug interface within FastGPT to pass variable input parameters such as decoration category and region, and verify correct assembly of the request URL and request body.
- View the database connection logs to confirm that the character set is
utf8mb4, and verify that no garbled text appears after inserting Chinese test data. - Simulate an interface call, and compare whether the fields, units, and content of the results returned by FastGPT match those returned by Postman.
- Check the interface retry mechanism logs to confirm that automatic retry takes effect when temporary interface fluctuations occur.
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.