What Data for This Category Looks Like
Documents providing policy and regulatory basis for the urban water services sector originate primarily from official announcements, industry standards, and local regulations issued by the Ministry of Housing and Urban-Rural Development, Ministry of Water Resources, and local water service authorities. Update cycles follow national standard revisions and local rule adjustments, with no fixed high-frequency update schedule. Most documents use a unified clause numbering system, multi-column tables for water quality or pollutant discharge standards, and attachments with charts. Fields include document number, issuing authority, effective date, applicable region, specific control indicators, and their corresponding units (such as mg/L, cubic meters per day).
What Constraints Do These Characteristics Impose on Document Parsing and Chunking
Strict clause hierarchy requirements for water service policy documents mean chunking must not break contextual associations between clauses. Multi-column standard tables and mixed-layout charts require parsing logic to support structured extraction. Control indicator units included in documents must be fully retained, to avoid unit loss or misalignment after parsing. Large policy compilation documents have large file sizes and longer parsing times, so longer processing durations must be supported. Frequent partial adjustments to local rules also require chunking logic to flexibly adapt to partial content splitting rules.
How to Set the Configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the clause length of water service policy documents, avoids splitting continuous clause hierarchies |
chunkSplitter | Split by paragraph + heading hierarchy | Matches the document's clause numbering system, retains contextual associations |
customPdfParse | Enable multi-column table parsing + image OCR | Adapts to multi-column water quality standard tables and attachments with charts in documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Prevents timeout during parsing of large policy compilation PDFs |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates multi-page policy compilation documents |
chunkSettingMode | Manual configuration | Adjusts chunking rules for the structure of water service documents |
Three Common Mistakes
- After uploading a water service policy PDF containing multi-column water quality standard tables, parsing results show field misalignment or missing content. The cause is failing to enable the multi-column parsing mode in
customPdfParse; the default chunking logic cannot recognize multi-column format tables in water service documents. - After uploading a water service policy PDF containing monitoring charts, parsing results do not include the text descriptions corresponding to the charts. The cause is failing to enable the image OCR function in
customPdfParse, or failing to correctly configure image extraction parameters. - After uploading a large policy compilation PDF, the parsing task fails and returns a timeout error. The cause is failing to adjust
PARSE_FILE_TIMEOUT_SECONDSto a sufficient duration; the default duration is not enough to complete the parsing process for complex documents.
How to Confirm the Configuration Is Correct
- Upload a water service policy PDF containing multi-column water quality standard tables, check if the tables in the parsing results are complete and free of misalignment.
- Upload a document containing monitoring charts, check if the parsing results include the text descriptions corresponding to the charts.
- Review the parsing logs to confirm no timeout error prompts appear.
- Confirm that the split chunked content retains complete clause numbers and contextual associations.
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.