What the data for this category looks like
Data for photovoltaic financial report analysis comes primarily from public periodic reports and temporary announcements released by listed companies, plus public industry business statistics. Disclosure follows securities regulatory requirements:
- Annual reports must be published by the end of April of the following year
- Semi-annual reports must be published by the end of August
- Quarterly reports must be published within 10 days after the quarter ends
- Temporary announcements such as performance forecasts and major project announcements are updated as related events occur
Most documents are in PDF format. Their structure includes standardized financial statements, discussion and analysis of operating conditions, special explanations of business data, and other sections. Fields include common financial indicators, plus photovoltaic industry-specific metrics: installed capacity, component shipments, silicon material procurement volume, power station project progress, and more. Units include GW, MW, ten thousand yuan, yuan, and others. Some temporary announcements disclose segmented data for single-quarter segmented business lines.
Constraints imposed on model access and configuration
The multi-format PDF documents, cross-page structured tables, and industry-specific business fields of photovoltaic financial reports require model access configurations with long-text context windows. This prevents core business data from being truncated. The fixed disclosure rhythm requires scheduled task configurations to trigger batch model calls, to align with task scheduling for different disclosure cycles. Industry-specific non-standard business indicators require adding custom entity extraction rules in model configurations. This prevents general-purpose models from failing to recognize segmented business fields. PDF tables often span multiple pages or contain merged cells. The parsing module must use a dedicated table recognition mode to improve structured data extraction accuracy.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–16000 token | The core business and financial text of a single photovoltaic annual report typically exceeds 8000 tokens, to avoid truncating critical data |
PARSE_PDF_TABLE_MODE | Cross-page merged recognition | Capacity and shipment tables in photovoltaic financial reports are often laid out across pages. This mode fully extracts cross-page table data |
UPLOAD_FILE_MAX_SIZE | 800 MB | Some photovoltaic company annual report PDF files can reach 500–700 MB in size, to reserve sufficient upload space |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Structured parsing of long financial reports takes significant time, to avoid premature termination of the parsing process |
RECALL_TOP_K | Top 8–10 results | Business data from photovoltaic financial reports is scattered across multiple sections such as operating discussions and financial notes, requiring sufficient context to be retrieved |
PROXY_TIMEOUT | 300 seconds | When batch calling models to process multiple financial reports, the total time for a single request must cover parsing and model inference steps |
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
- Phenomenon: Empty results or no response when calling an Ollama model. Cause: Local network interconnection permissions for the Ollama service are not configured in Docker startup parameters. This prevents the FastGPT container from accessing the local Ollama port.
- Phenomenon: The model cannot recognize photovoltaic financial report industry-specific metrics such as installed capacity and shipment volume. Cause: Custom entity extraction prompt rules are not configured. General-purpose models cannot distinguish between general financial fields and photovoltaic industry-specific business metrics.
- Phenomenon: Timeout errors occur when batch processing multiple financial reports. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The default timeout duration is insufficient to complete parsing of long financial reports and model calls.
How to Verify Successful Configuration
- Upload a single photovoltaic company annual report PDF, run the parsing operation, and check if the parsing result covers core sections such as operating discussions, financial statements, and business data. This confirms the parsing configuration is active.
- Enter a query containing photovoltaic industry-specific metrics in the model test interface, call the configured model, and check if the returned result accurately extracts the target fields. This confirms the entity recognition rule configuration is correct.
- Start a model call task for a single financial report, check the task logs and returned results, confirm there are no exceptions such as timeouts or empty results, and verify network and timeout configurations.
- Batch import multiple photovoltaic financial report files, run a batch processing task, confirm all tasks complete normally, and verify the batch call parameter configuration is reasonable.
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.