What Data for This Category Looks Like
Documents and materials for the urban gas sector are primarily sourced from business processes including daily operations, installation approval, safety inspections, and contract management. Data updates are triggered by business events, with no fixed cycle. Document formats include multi-page PDFs, structured spreadsheet documents, and paragraph-style text files. Fields cover gas usage, inspection points, installation information, contract terms, and more. Units include cubic meters, hours, megapascals, and others. Some documents feature mixed layouts of handwritten annotations and structured forms.
What Constraints Do These Characteristics Impose on the Document Parsing and Chunking Step
Parsing processes for urban gas documents must first distinguish between table and paragraph content, to avoid merging table cells with main body text into chunks. Chunking tools must preserve the integrity of individual business information for business documents with no fixed update cycle, preventing splitting of key business node data such as installation applications and inspection records. Chunking must retain the binding relationship between numerical values and their units for fields with specific units, to avoid separating values from their corresponding units. For long cross-page documents, parsing processes must preserve contextual association across cross-page paragraphs, to avoid splitting the same inspection record into different chunks.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapt to the length of individual business information in urban gas documents, avoid splitting key business nodes such as inspection records and installation applications |
chunkSplitter | Paragraph + custom delimiter | Adapt to the mixed layout structure of urban gas documents, preserve the integrity of business logic within paragraphs |
customPdfParse | Enabled | Accurately extract table and text content from urban gas PDF documents, avoid parsing errors in mixed layouts |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Reserve sufficient time to parse multi-page urban gas documents, avoid task failure due to parsing timeout |
chunkSettingMode | Manual configuration | Adapt to structural differences across different business documents, flexibly adjust chunking rules |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapt to the common size of single urban gas documents, avoid upload failures |
Three Common Mistakes
- After configuring custom delimiters based on line breaks, chunks may still merge multiple paragraphs or split single paragraphs. The cause is failing to prioritize matching custom delimiters for
chunkSplitter, or settingchunkSizebeyond the paragraph length threshold. - An error with specified information is returned when processing urban gas PDF documents after deployment. The cause is failing to enable the
customPdfParseparameter, or settingPARSE_FILE_TIMEOUT_SECONDStoo short. - The binding relationship between numerical values and units may be lost after chunking. The cause is setting
chunkSizetoo small, splitting gas usage values with units and their corresponding units into different chunks.
How to Confirm the Configuration Is Correct
- Upload a single urban gas inspection PDF document, check whether the parsed text retains the layout structure of tables and paragraphs.
- Upload a single installation application document, adjust
chunkSizeto 800 characters, verify that the chunked text does not split the complete business information of a single inspection record. - Upload a multi-page urban gas document, check whether the parsed chunks retain the contextual association of cross-page paragraphs.
- Test uploading a document that meets the
UPLOAD_FILE_MAX_SIZElimit, confirm that no timeout error occurs during parsing.
The values provided here are common starting points, and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.