What data for this category looks like
Gas investment research data primarily comes from monthly operational briefings, annual reports, and pipeline inspection reports of gas production enterprises, quotation documents from upstream gas suppliers, as well as gas safety notifications and supply and demand planning documents released by housing and urban-rural development and energy regulatory authorities. Update cycles cover monthly, quarterly, and annual frequencies. Inspection reports and real-time gas source quotations are updated irregularly or at high frequency. Document formats include official PDF files with digital signatures, structured Excel supply and demand tables, and long-text operational analysis reports. Professional measurement fields and units include total gas supply (10,000 cubic meters), pipeline network pressure (megapascals), gas supply price (yuan per cubic meter), pipeline length (kilometers), and other professional metrics.
Constraints imposed by these characteristics on document parsing and chunking
The multi-type characteristics of gas investment research documents create multiple constraints for the parsing and chunking process. Official files with digital signatures require support for parsing encrypted content to avoid losing valid information from compliant documents. Structured Excel tables must retain the correspondence between columns and data, otherwise the complete logic of supply and demand tables and pipeline network parameter tables cannot be restored. Long-text operational analysis contains a large number of professional terms. Chunking must avoid splitting complete semantic units that include these terms. High-frequency updated batch documents require an efficient parsing process to prevent single-file parsing timeouts from disrupting overall progress. Compared with other public utility categories, gas documents have a higher proportion of linear pipeline network data. Chunking must balance the contextual relevance of this linear data.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_PDF_WITH_SIGNATURE | Enabled | Official notifications and gas supply contracts in the gas industry are mostly PDF files with digital signatures. Enabling this option allows normal parsing of encrypted content |
CHUNK_SIZE | 800-1200 characters | Gas documents balance structured tables and long-text analysis. This range balances the integrity of professional terms and chunk utilization efficiency |
CHUNK_OVERLAP | 150-200 characters | Gas industry professional terms such as gas station, peak shaving, and pipeline replacement often appear across semantic units. Setting an overlap avoids splitting these terms |
PARSE_EXCEL_TABLE_MODE | Retain original column structure | Gas operational data is mostly supplied in Excel format as supply and demand tables and pipeline network parameter tables. Retaining column structure restores the correspondence between data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large gas annual reports and batch inspection reports takes a long time. This duration prevents interruptions from timeouts for conventional batch tasks |
DOC_PARSE_ENGINE | Doc2x V4.9.1 | This version supports parsing signed PDFs and complex tables, matching the mainstream parsing needs of gas documents |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Errors
- Phenomenon: After uploading a gas official notification PDF with a digital signature, the parsing result contains no valid text content. Cause: The
PARSE_PDF_WITH_SIGNATUREconfiguration item is not enabled, so encrypted content from signed documents cannot be recognized. - Phenomenon: A read failure error is returned when using the Doc2x tool to parse a gas Excel supply and demand table. Cause: The
PARSE_EXCEL_TABLE_MODEis not set to retain the original column structure, triggering a read exception during parsing of complex multi-column tables. - Phenomenon: After uploading a gas document via API, an access link is returned, but clicking the link prompts that only .txt format is supported. Cause: The
DOC_PARSE_ENGINEversion is not configured correctly, or the uploaded file format is not recognized by the corresponding parsing engine, resulting in the generated access link being unable to parse non-.txt format files.
How to Confirm Proper Configuration
- Upload a gas official notification PDF with a digital signature, check if the parsing result includes the original text content to confirm the
PARSE_PDF_WITH_SIGNATUREconfiguration is active. - Upload a gas supply and demand Excel table, check if the parsed chunks retain the original column structure and data correspondence to confirm the
PARSE_EXCEL_TABLE_MODEconfiguration meets requirements. - Trigger batch parsing of gas monthly operational documents, check if parsing tasks complete within the duration set by
PARSE_FILE_TIMEOUT_SECONDSwith no timeout errors. - Call the API to generate a knowledge base access link, click the link to confirm parsed document content can be viewed normally with no format unsupported 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.