What the Data for This Category Looks Like
Business handling documents for urban public transit primarily come from internal business ledgers and public announcements of operating enterprises. These include route adjustment notices, ticketing policy manuals, card application guides, station change announcements, and similar materials. Document updates occur irregularly alongside route optimizations and ticketing rule adjustments. Document structures mix plain text process descriptions, structured tables such as fare schedules and station lists, and application notices with clear fields. Fields included in documents cover station names, fare amounts, application locations, time limit requirements, and more. Supporting units include yuan, stations, kilometers, workdays, and similar units.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking?
The mixed structure of urban public transit documents requires the parsing step to adapt to both plain text process content and tabular content. If chunking rules are not specifically configured, process steps may be split apart or table cells may be broken into fragments. Structured fields and fixed units in documents require the parsing process to retain original field information, preventing loss of units or key numerical values. Irregular update cycles mean chunking rules must adapt to documents of varying lengths. Oversized chunks increase subsequent retrieval and matching difficulty, while overly small chunks damage semantic integrity. Some documents include multi-page route diagrams or bulk station lists, leading to longer parsing times than general documents, creating additional requirements for timeout settings.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the single-paragraph semantic length of public transit business documents, avoiding splitting process steps or structured fields that include units |
chunkSplitter | Split by paragraph + table | Aligns with the mixed structure of public transit documents, which combine long text processes and structured tables |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Meets the parsing needs of long documents with multi-page route diagrams, preventing timeout errors mid-process |
UPLOAD_FILE_MAX_SIZE | 50 MB | Sets the single-file limit for bulk-imported annual ticketing manuals and route summary documents |
customPdfParse | Enabled | Supports local parsing, retains table formats and unit information from public transit documents, prevents loss of structured content, and avoids leaking file contents |
chunkSettingMode | Manual configuration | Defines custom chunking rules for the mixed structure of public transit documents, adapting to different types of business documents |
Three Common Configuration Errors
- Phenomenon: When uploading a public transit document containing a fare table, a request error is returned, and the parsing status shows failure. Cause: The
customPdfParseconfiguration is not enabled, preventing correct parsing of tabular content. - Phenomenon: Parsed document content lacks unit information for fares and stations, and chunking results are fragmented. Cause: The
chunkSizevalue is too small, splitting structured field units that include units. - Phenomenon: When bulk importing multiple route notices, some documents fail parsing due to timeout. Cause: The
PARSE_FILE_TIMEOUT_SECONDSvalue is lower than the actual required parsing time, failing to adapt to the processing needs of multi-page long documents.
How to Verify Correct Configuration
- Upload a single-page PDF of a public transit station adjustment notice, check if the parsed result retains structured fields such as station names and adjustment times.
- Upload a document containing a fare table, confirm that the parsed table content is complete and not split or misaligned.
- Upload an annual ticketing manual of around 10 MB, check that the parsing process does not trigger timeout errors.
- Review the chunked text fragments, confirm that process content spanning multiple steps is not split apart.
The values given are common starting points and should be measured 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.