What the data for this category looks like
Financial report data for the energy metals category comes primarily from listed company periodic reports disclosed by domestic and overseas stock exchanges, and public statistical documents from industry associations. Update cadence follows quarterly reports every 3 months, annual reports once per year, and temporary announcements released alongside business changes. Most documents are in PDF format, including consolidated financial statements and segment business details. Fields cover attributable net profit, unit production cost, lithium carbonate equivalent output, and similar metrics. Common units include billion yuan, yuan/ton, and ten thousand tons.
Constraints imposed on model access and configuration by these characteristics
Unstructured PDF layouts for energy metals financial reports are complex. Cross-page tables and header/footer interference reduce parsing accuracy, so targeted file parsing parameters must be configured. Multi-source data has inconsistent unit standards, so unit standardization mapping rules must be configured at the model access layer. Batch financial report data volumes are large, so timeout parameters for file upload and parsing must be adjusted. Industry-specific terms such as "lithium carbonate equivalent" require custom prompts to guide model recognition, avoiding recognition bias from generic models. Fluctuating release frequency of temporary announcements requires dynamically triggered model call thresholds to align with business rhythms.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Energy metals financial report PDFs are typically 20-50 pages long, with standard parsing time exceeding the default threshold |
UPLOAD_FILE_MAX_SIZE | 500 MB | Individual batch financial report PDF files can reach up to 200 MB each, so the upper limit needs to be relaxed for batch uploads |
maxContext | 8000-12000 characters | Business detail paragraphs in energy metals financial reports are lengthy, so long context input must be supported |
| Recall Count | Top 6 entries | Core indicators for energy metals financial reports are scattered across multiple sections, so enough relevant paragraphs must be retrieved |
| Similarity Threshold | 0.75-0.85 | Industry-specific terms have high semantic similarity, so irrelevant content must be avoided in recall results |
PROMPT_TEMPLATE | For energy metals listed company financial reports, extract indicators such as attributable net profit, lithium carbonate equivalent production capacity, unit production cost, and generate a standardized analysis report | Generic prompts cannot cover industry-specific business indicators, so custom guidance is required |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, 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 Misconfigurations
- Symptom: After upgrading FastGPT version, a
413 Request Entity Too Largeerror is triggered when batch uploading energy metals financial report files. Cause: The defaultUPLOAD_FILE_MAX_SIZEparameter in the new version is reset to the initial default value, and does not match the actual size of energy metals financial report files. - Symptom: After uploading a PDF-format energy metals financial report, the model output contains unparsed binary garbled text. Cause: The
PARSE_PDF_ENABLEconfiguration item is not enabled, and the original PDF file is directly passed to the large model for understanding. - Symptom: The
碳酸锂当量产能field is empty in energy metals financial report analysis results. Cause: The custom prompt does not explicitly specify extraction of this industry-specific business indicator, and the generic model fails to recognize proprietary terms in the energy metals sector.
How to Confirm Proper Configuration
- Upload a standard energy metals listed company financial report PDF, check if the parsed text content fully extracts tables and business details, and verify consistency between the parsed results and the original document.
- Call the model to execute a financial report analysis task, check if the returned results include energy metals industry-specific indicators, and confirm that the custom prompt is functioning as expected.
- Adjust the similarity threshold and recall count parameters, compare the number of recall results across different configurations, and confirm that the impact of the parameters on the recall logic aligns with expectations.
- Batch upload multiple energy metals financial report files, check if the upload and parsing processes complete normally, with no timeout or file corruption 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.