What the data for this category looks like
Data for refractory materials financing daily reports draws from three sources: public industry association statistics, real-time quotes from commodity trading platforms, and procurement and financing filing records from steel mills and refractory material manufacturers. Data updates once per day. A complete report for the previous day is generated on the current day. Each daily report document includes these fields: current date, refractory material sub-varieties (such as magnesia-carbon bricks, high-alumina bricks, castables, etc.), origin, ex-factory tax-included unit price, month-on-month change rate, annualized cost of corresponding financing products, and enterprise credit line. Unit price uses yuan per ton as the measurement unit. Financing cost uses annualized percentage as the measurement unit. Credit line uses ten thousand yuan as the measurement unit. Most documents use structured table formats, with a small number of short industry comments or related images attached.
Constraints during deployment and upgrade
The multi-variety structured nature of refractory materials financing daily reports requires precise field parsing rules during deployment. This prevents mixing of fields across different product categories. The fixed daily update schedule requires stable scheduled pull and synchronization tasks. During upgrades, these tasks must remain uninterrupted to avoid missing daily report data. Data from multiple sources may have format variations. Deployment must include configuration of unified format verification rules. If attached industry images require parsing, local multimodal model access needs adaptation to the model's local deployment port and network segment. After upgrading to a new version, configuration compatibility with existing third-party services must be validated to prevent functional failures.
How to set configurations
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Refractory materials financing daily reports include multi-category structured tables. Parsing takes significant time, so sufficient parsing time must be reserved |
SCHEDULE_PULL_INTERVAL | 86400 seconds | Daily reports update once per day. This matches the fixed pull schedule |
UPLOAD_FILE_MAX_SIZE | 50 MB | Individual daily report documents have small file sizes. Limiting single-file upload size during bulk imports prevents resource waste |
SIMILARITY_THRESHOLD | 0.72 | Filters low-correlation historical daily report data. Ensures accurate retrieval results for refractory material varieties |
LOCAL_VLM_ENDPOINT | http://127.0.0.1:8000 | Adapts to the port of locally deployed cogvlm models, used for parsing industry images attached to daily reports |
WHISPER_API_URL | http://localhost:8001/v1 | Adapts to the upgraded Whisper service address, ensures normal operation of speech-to-text functionality |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: Page displays blank content after embedding an intranet-mapped external network address via iframe. Direct access to the external network address works normally. Cause: The domain name embedded via iframe has not been added to FastGPT's cross-origin whitelist, or the authorized domain name for the login-free window has not been configured correctly.
- Symptom: After upgrading to version 4.8.17, Whisper speech-to-text functionality fails. The console shows a POST /v1/audio/transcriptions 404 error. Cause: The default API path for Whisper has changed in the new version, and the configuration value for
WHISPER_API_URLhas not been updated synchronously. - Symptom: Locally deployed cogvlm model can be called directly to return correct results, but returns empty results when called via FastGPT. Cause: The
LOCAL_VLM_ENDPOINTconfigured in FastGPT does not point to the actual listening port of the model, or internal network access permission for the corresponding port has not been enabled.
How to confirm configurations are correct
- Manually trigger a scheduled pull task. Check if the current day's refractory materials financing daily report documents are generated in the knowledge base, and that all fields are complete.
- Call the vector retrieval interface, input specified refractory material variety keywords. Verify that returned result fields match the preset daily report fields.
- Access the configured external network address, embed it via iframe in a test page. Confirm the page loads without blank spaces or errors.
- Test Whisper speech-to-text and cogvlm image recognition functions. Confirm normal results are returned after calls.
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.