What the data for this category looks like
Data for refractory materials financing daily reports comes primarily from public disclosures by industry associations, financing filing systems of industrial parks, industrial and commercial change announcements of enterprises, and financing-related disclosures from commodity trading platforms. The reports are updated daily with one record per entry. Each daily report document contains dozens of financing entries. Each entry has fixed fields: financing entity name (refractory material production or trading enterprise), financing amount (unit: ten thousand yuan), financing method (equity, debt, or supply chain finance), location of the financing party, financing purpose, and information release date. Most documents are structured tables or text files with field annotations.
Constraints imposed by data characteristics on model access and configuration
The characteristics of the refractory materials financing daily report data source create multiple constraints for the model access and configuration process. The daily updated data source requires the scheduled pull task cycle to be no more than 24 hours, to avoid data lag. The fixed financing amount unit is ten thousand yuan, so field verification rules must be configured during access to convert or filter values not using this unit, preventing data confusion. The fixed business field structure requires aligning structured data to a preset field format before model invocation, reducing model parsing errors. Most financing purposes point to specific scenarios such as refractory material raw material procurement and kiln renovation, so a dedicated system prompt must be configured to limit model output to fit industry context. Each daily report contains dozens of entries, so the number of recalled entries must be configured to match the entry count, avoiding excessive recall that causes context overflow.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Scheduled Pull Cycle | Run once at 0:00 daily | Matches the daily update rhythm of financing daily reports to ensure data timeliness |
Field Verification Switch | Enabled | Required to verify that the financing amount unit is ten thousand yuan, preventing non-standard values from entering the data pipeline |
maxContext | 8000–12000 characters | Each daily report contains dozens of financing entries. This length covers complete entries without exceeding the context window of mainstream models |
Number of Recalled Entries | Top 10 entries | Matches the entry count of a single daily report, avoiding context redundancy or missing information |
SYSTEM_PROMPT | Refractory materials financing daily report analysis assistant. Only answer based on provided financing data, focusing on industry-related content such as enterprise financing purposes and amount types | Fits the business context of refractory materials financing scenarios, limiting model output scope |
Timeout Threshold | 15 seconds | Matches the typical invocation time of mainstream large models, preventing task interruption due to timeout |
Variable Mapping Rule | Bind code execution results to the{input_result} field | Resolves the issue where code execution results cannot be passed to AI models, matching workflow parameter transfer logic |
The parameter values provided on this page are general recommendations to serve as a starting point 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: The
chat:ai_input_is_eerror occurs when passing code execution results to an AI model in a workflow. Cause: The workflow variable mapping rule is not configured correctly, so the result field output by the code is not bound to the input parameter of the AI model. - Issue: Ollama models deployed outside of Docker cannot connect normally to a FastGPT instance deployed via Docker Compose. Cause: Correct model access address and port mapping are not configured, causing network connectivity interruption.
- Issue: The number of recalled financing entries does not match expectations, with either too many or too few results. Cause: The
Number of Recalled Entriesconfiguration is not adjusted based on the entry count of a single daily report, leading to context overflow or missing information.
How to confirm successful configuration
- Run a manually triggered scheduled pull task, check that the pulled financing data includes all preset fields, and that the financing amount unit meets requirements.
- Submit test code execution results, check that there are no parameter binding-related errors in the workflow logs, and confirm that the results can be passed normally to the AI model.
- Submit test questions tailored to the refractory materials financing scenario, check that the model-generated content focuses on industry-related information and does not include off-topic content.
- Check the model invocation logs, confirm that the single invocation time does not trigger the timeout threshold, and that no format error logs are generated.
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.