What the data for this category looks like
Gas due diligence report data primarily comes from monthly pipeline operation reports of gas operating enterprises, daily inspection point records, gas source procurement contracts, public documents from local gas regulatory authorities, and third-party gas safety inspection reports. Update frequencies cover real-time (inspection records), monthly (operation reports), and irregular (procurement contracts and regulatory announcements). Document formats include structured PDF reports, mixed-text-and-image inspection logs, Excel pipeline parameter spreadsheets, and web-based regulatory announcements. Fields and units include pipeline diameter (mm), gas supply pressure (MPa/kPa), gas flow rate (m³/h), inspection point numbers, gas supply area codes, and some documents embed on-site photos and screenshots of pressure gauge readings.
What constraints do these characteristics impose on the parsing and chunking stage?
The multi-format data characteristics of gas due diligence reports impose multiple constraints on the parsing and chunking process. First, mixed-text-and-image inspection logs and inspection reports with screenshots require parsing tools to support both plain text extraction and image OCR. This avoids losing critical information such as embedded pressure gauge readings. Second, structured pipeline parameter spreadsheets must retain field associations. They must not be split into meaningless text paragraphs, as this breaks the logical connections required for due diligence analysis. Third, data sources with different update frequencies require differentiated configurations for incremental and batch parsing. This avoids reprocessing already parsed monthly reports and improves parsing efficiency. Fourth, diverse unit systems require unified unit labeling during parsing. This prevents unit confusion after chunking that disrupts subsequent large model analysis.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 200 MB | Single large gas pipeline archive PDF may exceed 100 MB, so the upload limit must be raised to cover all documents |
PARSE_IMAGE_ENABLE | Enabled | Gas due diligence documents often include inspection photos and images of pressure gauge readings, so OCR must be used to extract text from images |
PARSE_TABLE_STRUCTURE | Enable structured extraction | Gas documents include standardized pipeline parameter spreadsheets, enabling this option retains the association between fields and cells |
CHUNK_SIZE | 800–1200 characters | Gas documents include long sections of inspection records and contract terms, this range balances context completeness and chunk granularity |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Multi-page gas pipeline inspection reports take longer to parse, so extending the timeout prevents parsing interruptions |
ENABLE_INCREMENTAL_PARSE | Trigger based on file update time | Gas operation data updates on a monthly cycle, incremental parsing reduces repeated compute resource usage |
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, and it is recommended to test on in-house samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: When a gas inspection PDF is parsed, embedded pressure gauge reading images are not extracted, and large models cannot obtain the numerical values in the images. Cause: The
PARSE_IMAGE_ENABLEconfiguration is not enabled, and only plain text paragraph content is extracted. - Symptom: When a publicly shared Yuque link for a gas supplier announcement is imported, a parsing failure prompt is returned. Cause: The Yuque link does not have fully public permissions, or the link includes dynamically loaded rich text elements, and the standard parser cannot fully crawl the content.
- Symptom: When an HTTP tool is configured to call a gas supplier interface, parameter parsing completes normally but the request is not executed. Cause: The tool is not bound to the knowledge base permission scope of the current application, or the trigger conditions do not match the business scenario of the corresponding chunk.
How to Confirm Configurations Are Correct
- Verify that uploading a gas inspection report with embedded images and structured pipeline parameter spreadsheets returns a parsing result that includes text extracted via OCR from images and complete table fields.
- Verify that importing a Yuque link that meets public permission requirements results in a successful parsing status, and the extracted content matches the original document.
- Verify that after configuring a local test HTTP tool to call an interface and triggering the tool call, running logs show the request was sent normally.
- Verify that uploading two gas operation reports with different update times shows that incremental parsing only processes new or modified documents, and does not reprocess old data.
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.