This document is compatible with the FastGPT v4.8.12-alpha open source version.
What the Data for This Category Looks Like
Photovoltaic financial report data mainly comes from annual/quarterly reports of listed companies, securities firm industry research reports, statistical documents from photovoltaic industry associations, and public operational data from component manufacturers. Update frequency: Quarterly reports are updated every 3 months, annual reports are updated once a year, and research reports are updated in real time alongside industry events. Document structures include multi-sheet Excel financial tables, paginated Word annual reports, and PDF research reports with tables. Fields cover component shipment volume, per-watt cost, gross margin, new installed capacity, and more. Units include GW (gigawatt), yuan/W, ten thousand yuan, and others. Some documents mix same-type fields with different units.
Constraints Imposed by These Characteristics on the "Document Parsing and Chunking" Link
The multi-sheet Excel structure of photovoltaic financial reports requires specifying valid business sheets during parsing to prevent irrelevant data from being included in chunks. Mixed units and multi-field table content requires retaining original fields and units during chunking to avoid data ambiguity. Combined documents with large files and multiple attachments require parsing timeout settings adapted to long-duration tasks. Layouts with interleaved chapters and tables require chunk boundaries to align with business logic, rather than splitting solely by character length. Additionally, frequently updated documents need to retain timestamp fields to prevent mixing data from different cycles.
Configuration Settings
| Configuration Item | Recommended Value | Basis for This Value | |
|---|---|---|---|
PARSE_EXCEL_SHEET_NAMES | ["营收表", "成本表", "产能表"] | Photovoltaic financial report Excel files usually name sheets by business modules. Specifying valid sheets filters redundant data | |
PARSE_CHUNK_SIZE | 800–1200 characters | Photovoltaic financial reports include long table paragraphs and business logic blocks. This range balances context completeness and chunk granularity | |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Photovoltaic annual reports often include multiple attachments and high-definition charts. This value covers most large file upload requirements | |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Photovoltaic financial report files over 10MB take a long time to parse. This value prevents timeout errors for large file parsing | |
CUSTOM_SEPARATOR | `["\n", "### ", " | "]` | Photovoltaic financial reports include chapter titles, Markdown tables, and business lines separated by line breaks. This configuration splits chunks by business boundaries |
RECALL_CHUNK_COUNT | Top 6–8 chunks | Photovoltaic data has strong correlation. Sufficient recalled chunks support cross-field financial report analysis logic |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfiguration Issues
- Phenomenon: After uploading a photovoltaic financial report Excel file, automatic chunking merges multi-row and multi-column business data into a single chunk, and cannot split by single business items. Cause: The
PARSE_EXCEL_ROW_DELIMITERparameter is not configured as\n, and the logic to split Excel cell content by row is not enabled. - Phenomenon: A 15MB Word format annual report document submitted for parsing times out with a 504 status code. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter value is too low, and does not adapt to the parsing time requirements of large files containing multiple charts and long tables. - Phenomenon: Parsed chunks contain mixed units and unrelated fields, which cannot support accurate photovoltaic financial report analysis. Cause: The
PARSE_EXCEL_SHEET_NAMESparameter is not specified, and hidden auxiliary sheets in the document are parsed, leading to redundant data being mixed into chunks.
How to Verify Correct Configuration
- Upload a single photovoltaic financial report Excel test file, check if parsed chunks split business data by row. Adjust the
PARSE_EXCEL_ROW_DELIMITERparameter until the result meets expectations. - Upload a 10MB+ Word format financial report document, monitor parsing time. Adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter to cover actual parsing duration. - Review parsed chunk content, confirm that only valid business data from target sheets is included. Adjust the
PARSE_EXCEL_SHEET_NAMESparameter to filter valid content. - Test the custom separator configuration. Upload a document with chapter titles and tables, confirm that chunks are split by chapter and table boundaries.
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.