What This Category of Data Looks Like
Typical data for this category comes from petition bureaus, department petition offices, sub-district, township, and responsible unit offices. It covers documents including petition registration forms, acceptance notice letters, transfer and assignment letters, handling opinion letters, review and re-examination applications, resolution plans, and more. Data sources include national petition information systems, local petition systems, the 12345 citizen hotline platform, grassroots governance platforms, and historical petition archives. Update frequency is daily. Document structures include both structured forms and unstructured official documents, with fixed fields such as appeal content, handling progress, review opinion, and policy basis. Some bulk data uses multi-column table formatting.
Constraints on Document Parsing and Chunking
Format differences across multiple data sources require chunking rules to maintain logical integrity for both structured forms and unstructured official documents, avoiding breaks between appeals and their corresponding handling opinions. Daily updated bulk data must adapt to efficient parsing workflows. Excessively long parsing times reduce processing efficiency for same-day petition matters. Information density varies widely across different documents: single records in petition registration forms are information-dense, while policy explanation documents are relatively scattered. Chunking parameters must cover the information carrying capacity of both scenarios. Additionally, parsing result accuracy directly impacts subsequent petition matter screening and handling. Incorrect chunking can lead to loss of key information, creating risks of repeated petitions or petitions submitted at a higher level than the appropriate jurisdiction.
How to Set Configurations
FastGPT v4.17.0 includes the following configuration items that can be adjusted for the petition matter handling scenario:
| Configuration Parameter | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Petition-related documents include appeal details and handling workflows. Excessively long chunks will lose contextual connections, while excessively short chunks will break the correspondence between policy basis and appeals. This range adapts to the information density of most petition documents and forms. |
chunkSplitter | Split by paragraph + semantic segmentation | Petition documents have both structured form rows and policy explanation paragraphs. Splitting by paragraph preserves the complete logic of a single appeal or single notice letter. Semantic segmentation avoids rigid splitting of policy clauses. |
customPdfParse | Enable structured table parsing | Petition documents include multi-column field tables such as petition registration forms and handling opinion letters. Enabling this setting preserves cell correspondence, preventing field confusion after parsing. |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | When batch processing historical petition archive PDFs, single-file parsing takes a long time. This duration covers the parsing workflow for most standard petition documents. |
chunkSettingMode | Manual configuration | For multi-column Excel petition data, manually specifying chunking rules ensures each row is treated as an independent segment, preventing automatic chunking from disrupting field correspondence. |
Three Common Misconfigurations
- Phenomenon: After an Excel petition registration form is uploaded, multi-column fields in the parsing result are misaligned, and a single appeal is split into multiple chunks. Cause: Structured parsing mode for table files is not enabled, and automatic chunking does not split content by row.
- Phenomenon: After a complete PDF of a petition handling opinion letter is uploaded, querying cannot accurately match the corresponding handling opinion paragraph. Cause:
chunkSizeis set too large, causing key policy basis and appeal content to be merged into the same chunk, making precise positioning impossible during retrieval. - Phenomenon: When daily petition archives are batch imported, some PDF files fail to parse, and a timeout error is displayed on the interface. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set too short, failing to cover the parsing time of large-volume petition archives.
How to Confirm Configurations Are Set Correctly
- A single Excel petition registration form is uploaded. Parsed chunks are checked to confirm each corresponds to a complete appeal record, with no field misalignment.
- A single PDF of a petition handling opinion letter is uploaded.
chunkSizeis manually adjusted, and chunks are verified to preserve the integrity of a single policy explanation paragraph or single handling opinion. - Ten historical petition archive PDFs are batch uploaded. Parsing success rate is checked, and no timeout errors are confirmed.
- For structured petition documents, parsed text is checked to retain the column correspondence of the original table, with no content confusion.
The values given are common starting points and should be measured against samples appropriate for the specific use case.
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.