What Data for This Category Looks Like
Optical and optoelectronic category financial report data mainly comes from listed companies’ periodic reports, public industry research reports, and supply chain disclosure documents. Update cycles follow quarterly and annual core periods, with additional temporary announcements related to capacity adjustments, new product launches, and similar events. Document structures include standardized financial statement modules, as well as segmented business segment data such as display panel shipment volume, LED chip yield rate, R&D investment amount, and other fields. Units include physical quantities such as ten thousand pieces, milliampere-hours, pixels, and currency units.
Constraints on Document Parsing and Chunking
The multi-module mixed structure of optical and optoelectronic financial reports requires the parsing process to accurately distinguish between financial statement content and segmented business segment content, to avoid invalid cross-module chunking. The non-standard format of temporary announcements means general parsing rules cannot adapt, requiring additional adaptation to different announcement templates. The diversity of units for segmented business fields — such as display panel shipment volume being labeled in both ten thousand pieces and individual pieces — requires associating fields with their corresponding units during parsing to avoid data ambiguity. Embedded charts related to capacity and yield in documents require simultaneous extraction of text and numerical values within the charts, otherwise core business indicators will be lost during chunking.
Configuration Settings
| Config Item | Recommended Value | Rationale |
|---|---|---|
PARSE_PDF_IMAGES | Enabled | Optical and optoelectronic financial reports contain a large number of visual charts related to capacity and shipment volume, requiring extraction of embedded text and numerical values from images |
CHUNK_MAX_SIZE | 800–1200 characters | Financial reports include long financial descriptions and short business data; this range balances context relevance and chunking accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large annual report PDF files contain multiple tables and complex charts, with higher parsing time than general product categories |
METADATA_EXTRACT_FIELDS | ["报告期", "显示面板出货量", "LED芯片良率", "研发投入金额"] | Core business metadata for optical and optoelectronic financial reports is the above fields, facilitating subsequent retrieval and association |
UPLOAD_FILE_ALLOW_EXTENSIONS | ["pdf", "docx", "xlsx"] | Common formats for optical and optoelectronic financial reports include PDF periodic reports, Word industry research reports, and Excel business data tables |
PARSE_ENGINE | fastgpt-default (or custom parsing engine) | Optical and optoelectronic financial reports contain complex tables and charts; a dedicated parsing engine can improve extraction accuracy, and tools can be switched via this configuration |
The parameter values provided on this page are conventional starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Mistakes
- Phenomenon: After uploading a PDF financial report, the parsing result contains no embedded image text, or images cannot be displayed. Cause: The
PARSE_PDF_IMAGESconfiguration item is not enabled, and only plain text content is extracted. - Phenomenon: After retrieving chunks, it is not possible to associate metadata such as report period and shipment volume. Cause: The
METADATA_EXTRACT_FIELDSconfiguration item is not configured to specify extraction fields, or the metadata extraction rule is not bound to the corresponding financial report module. - Phenomenon: Uploading an Excel-format business data table fails. Cause:
xlsxis not added to theUPLOAD_FILE_ALLOW_EXTENSIONSconfiguration item, or the configuration item format is incorrect.
How to Verify Correct Configuration
- Upload a PDF financial report containing a capacity line chart, and check whether the parsing result extracts the numerical values and labels within the chart.
- Upload an .xlsx format business data table, confirm that the file can be uploaded normally and complete parsing.
- After configuring
METADATA_EXTRACT_FIELDS, submit a retrieval request containing business fields, and verify whether the returned chunks carry the corresponding metadata. - Upload an annual report with more than 100 pages, confirm that the parsing process does not trigger a timeout error.
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.