What the data for this category looks like
Service subjects for this category include disease control institutions, public health departments of medical institutions, and disease control divisions of health and health commissions. Daily processed documents include infectious disease report cards, epidemic analysis reports, case correction records, clustered epidemic reports, and epidemiological investigation reports. Data sources are the Chinese Disease Prevention and Control Information System, hospital HIS systems, infectious disease reporting systems, and laboratory testing systems. Update frequency is daily. Most documents are structured or semi-structured, with fields required by legal reporting including case diagnosis, reporting time limits, and correction information. Single-day summary documents may contain multiple business entries.
What constraints these characteristics impose on the "document parsing and chunking" step
Daily updated business data requires efficient parsing processes to avoid delays that disrupt subsequent policy Q&A responses. Documents vary widely in structure. Some are standardized infectious disease report cards, while others are long-form epidemiological investigation reports. Parsing logic must adapt to these differences. Documents contain legally required key fields such as reporting time limits and case correction records. Chunking must avoid splitting these related information sets. Otherwise, policy Q&A systems cannot connect complete business logic. Data from multiple sources may have format differences. Parsing processes must support multiple input formats to ensure consistent results. Business errors carry serious consequences. Parsing links must ensure no key information is omitted, to avoid disrupting subsequent epidemic monitoring and early warning.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents in this category include legally required report fields and case details. Chunk length must cover complete report units to avoid splitting key information such as case corrections and reporting time limits |
chunkSplitter | Split by paragraph + heading | Documents in this category have clearly defined report chapters and case entries. Splitting by paragraph preserves information integrity and adapts to the structure of epidemiological investigation reports and epidemic analysis reports |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large single-day summary documents takes significant time. Sufficient time must be reserved for format conversion and text extraction |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single-day summary documents in this category may include bulk uploads of multiple case report cards. Large file parsing support is required |
customPdfParse | Enabled | Most documents in this category are official PDF reports. Enabling custom parsing preserves table and field formatting, preventing loss of legally required key data |
chunkSettingMode | Manual configuration | Adjustment of chunking rules for different document types such as report cards and epidemiological investigation reports is required to meet information integrity needs for business scenarios |
Three common errors
- Phenomenon: Bulk document uploads interrupt mid-process, and parsing cannot resume after restart. Cause: No reasonable
PARSE_FILE_TIMEOUT_SECONDSconfigured, orUPLOAD_FILE_MAX_SIZEset too small, leading to parsing timeout or truncation of large documents. - Phenomenon: File uploads via dialog box never start parsing, with no background error logs. Cause:
customPdfParsenot enabled, orchunkSettingModenot adapted to the PDF format of this category of documents, causing the parsing engine to fail to recognize file structure. - Phenomenon: Parsed documents cannot be used by the model for policy and regulatory Q&A. Cause:
chunkSizeset too small, splitting key information such as legal reporting time limits and case correction records into separate chunks, preventing the model from connecting complete business logic.
How to confirm proper configuration
- Upload a single epidemic analysis report PDF under 1000 MB, check that parsing completes within 600 seconds with no timeout errors.
- Upload multiple infectious disease report card documents, check that parsed chunks retain consecutive fields including case diagnosis and reporting time limits, with no key information split apart.
- After enabling
customPdfParse, check that parsed text retains table content and field formatting from the original PDF, with no format loss. - In FastGPT v4.17.0, test uploading a single-day summary bulk document, confirm parsing completes without interruption and chunk data is generated normally.
The values provided 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.