What Data for This Category Looks Like
Financial report data for water treatment-related enterprises primarily comes from public periodic reports, special audit reports, and project operation ledgers. Data updates follow industry regulatory requirements: annual financial reports are updated once per year, quarterly financial reports are released each quarter, and special project reports are updated alongside project milestones. Document structures include a general financial statement module, plus water treatment-specific fields such as average daily treatment volume, chemical dosing concentration, unit water treatment cost, and equipment operation and maintenance duration. Field units mostly follow industry standard conventions: water volume is measured in ten thousand tons per day, concentration in mg/L, and cost in yuan per cubic meter.
Constraints on Document Parsing and Chunking
Water treatment financial reports mix specialized fields with general financial fields. Accurate distinction between the two types of fields is required to avoid chunking confusion. A large number of structured tables and process-related data paragraphs are embedded in documents. Chunking must retain the integrity of data within tables, and avoid splitting across tables. Document structures vary significantly across different update cycles: quarterly financial reports have a low proportion of special data modules, while annual financial reports include complete project operation data ledgers. This requires adapting chunking logic for documents of different lengths. Some documents include process flow diagram screenshots, requiring additional processing of non-text content parsing and association to ensure corresponding data descriptions can be linked during chunking.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | Water treatment financial reports include long-text process descriptions and multi-column data tables. This length retains data relevance and avoids splitting critical information |
chunkOverlap | 50–80 characters | Retains contextual association between chunks, and adapts to logically linked data across paragraphs in financial reports |
ocrEnable | Enabled | Some water treatment financial reports include process flow diagram screenshots and paper scans. OCR is required to extract text content |
ocrLanguage | chi_sim+eng | Covers both Chinese financial terminology in reports and possible English equipment models and international standard parameters |
parseTableMode | Retain original format | Cost tables and treatment volume tables in water treatment financial reports must fully retain column structures to avoid post-parsing data disorder |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Annual financial reports include multi-module data, which takes a long time to parse. This duration covers the complete parsing process |
The parameter values provided on this page are conventional recommendations that serve as a starting point 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 Mistakes
- After uploading a financial report attachment in image format, the model cannot parse the corresponding content and returns the
content is emptyerror. The cause is that theocrEnableconfiguration is not enabled, or the uploaded image did not pass FastGPT's image parsing verification process. - After importing an Excel-format financial report dataset, field correspondence fails, and no matching data is returned in search results. The cause is that the column association configuration for
parseTableModeis not enabled, and the original column structure of the table was not retained during parsing, leading to incorrect field mapping. - Garbled Chinese characters appear after OCR recognition, and the log field
ocr_resultcontains garbled characters. The cause is thatocrLanguageis not set tochi_sim+eng. Using a single-language OCR model cannot adapt to mixed-text scenarios.
How to Verify Proper Configuration
- Upload a single quarterly financial report PDF, view the parsed chunk list, and confirm that each chunk contains complete water treatment-specific data paragraphs and table fragments.
- Upload a document that includes process flow diagram screenshots, check whether the parsed result contains the text content in the screenshots, with no garbled characters or missing content.
- Import an Excel-format financial report dataset, trigger a field matching test, and confirm that search can correctly associate content from corresponding columns.
- Upload an annual financial report document, view the parsing task log, and confirm that the
PARSE_FILE_TIMEOUT_SECONDStimeout error is not triggered, and the parsing status is completed.
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.