What data for this category looks like
Financial report data for the refractory materials category comes primarily from periodic public disclosures of listed refractory material enterprises, and monthly operating data released by industry associations. Update schedules are as follows: listed company quarterly reports update every 45 days, annual reports update every 4 months, and industry data updates monthly. Document structures include sections such as revenue proportion of refractory products, production capacity, sales volume, unit production cost, and R&D investment. Fields include sales volume measured in tons, revenue measured in ten thousand yuan, raw material procurement cost measured in yuan per ton, and technical indicators such as furnace service duration.
Constraints imposed on model access and configuration
The update schedule, field characteristics, and document structure of refractory materials financial report data impose clear constraints on model access and configuration. First, quarterly and annual batch financial report data volumes are large. Configure incremental sync trigger periods to match the 45-day/4-month update rhythm, to avoid repeatedly pulling full datasets. Second, fields include operating data measured in tons, ten thousand yuan, and yuan per ton, plus technical indicators measured in hours. Preset field mapping rules to unify data formats, to prevent model parsing confusion. Third, the classification logic for sections related to refractory materials in financial reports differs from general building material categories. Custom classification anchors for document parsing, to ensure accurate extraction of core operating and technical data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single refractory materials financial report documents can be dozens of pages long, with long parsing times. 600 seconds covers the full parsing workflow |
Segment Length | 800–1200 characters | Refractory materials financial reports include multi-dimensional operating and technical data. This segment length preserves field relevance, avoiding splits that break data logic |
Recall Count | Top 8 entries | Core data of refractory materials financial reports is concentrated in revenue, cost, and production capacity sections. 8 recall entries cover major analysis dimensions, avoiding interference from redundant information |
Similarity Threshold | 0.75–0.85 | Need to distinguish revenue classifications between refractory products and other building material categories. This threshold accurately matches core fields and filters irrelevant content |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Attachments for single annual financial reports, such as production capacity details and R&D reports, may exceed standard document sizes. 1000 MB supports batch upload requirements |
Rearranged Return Count | Calibrated via actual testing | Financial report structures vary across enterprises. Adjust the rearranged return count based on actual recall results, to ensure core data is displayed first |
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 Misconfigurations
- Symptom: The model call returns the error "No available channel for model gpt-4o-mini under current group default". Cause: No access channel for gpt-4o-mini is configured in the corresponding group, or the channel configuration is not bound to the current application's model call link.
- Symptom: Parsed financial report data has missing fields or mixed units. Cause: No preset field mapping rules for refractory materials financial reports, and no unified parsing format for units such as tons, ten thousand yuan, and yuan per ton, leading to the model being unable to accurately identify core indicators.
- Symptom: Application call return results are output directly, without being fed as context to the large model. Cause: The direct output switch for the application is not turned off, or the "only store as data" call mode is not configured, causing the call link to not be correctly associated with the context input of the downstream large model.
How to Confirm Configurations Are Correct
- Upload a single quarterly financial report from a refractory materials enterprise, check whether core fields such as sales volume, revenue, and unit cost are accurately extracted in the parsing results, and verify that field units match the preset rules.
- Trigger a model call, check whether the logs show normal model access channel status, with no grouping binding or channel unavailable error messages.
- Configure a test analysis prompt, after submission check whether the model's returned analysis results include operating and technical data related to refractory materials, with no redundant irrelevant content.
- Adjust the segment length and recall count parameters, upload multiple financial reports of different sizes, confirm that parsing and recall times meet expectations, with no timeout errors.
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.