What data for this category looks like
Core data for classified protection evaluation consulting comes from documents and supporting raw materials produced by a single classified protection evaluation project. The fixed daily documents include four categories: classification determination report, gap analysis report, rectification plan, and evaluation report. Data sources include system lists exported by evaluation tools, interview records, security device logs, and more. Updates follow a single project cycle, with rectification evidence and latest evaluation results added as needed during the cycle. Document structures include fixed fields such as standardized control item entries, risk descriptions, and rectification requirements. Data from different sources has large format differences, including structured tabular reports and unstructured interview records and log texts.
What constraints these characteristics impose on the document parsing and chunking link
Documents for classified protection evaluation consulting have diverse types but fixed structures. The parsing link must retain the integrity of core fields such as control items and risk descriptions, and avoid information fragmentation caused by splitting. Data sources include structured tables exported by tools and unstructured logs, so parsing rules must adapt to different formats. The project-cycle update rhythm requires the parsing process to quickly adapt to batch processing of multiple documents under a single project, and avoid delays in subsequent evaluation links caused by parsing errors. Evaluation results are directly linked to regulatory inspection risks. The parsing link must ensure no missing core business fields, and avoid deviations in subsequent verification links caused by chunking errors.
How to set configurations
Based on the functional logic of FastGPT v4.17.0, the following configuration items can adapt to the document parsing and chunking requirements of classified protection evaluation consulting:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the standard paragraph length of classified protection reports, avoiding splitting the complete description of a single control item |
chunkSplitter | Split by paragraph + title | Preserves the hierarchical structure of documents, facilitating subsequent control item gap verification and rectification plan matching |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the complete parsing time of large-scale evaluation reports, avoiding parsing timeout interruptions caused by overly large single files |
customPdfParse | Enabled | For PDF-format classification determination reports and evaluation reports, retains text typesetting and field positioning, avoiding loss of structured content |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports the maximum single-file limit for batch uploading of multiple documents under a single project, adapting to large-scale rectification plan documents |
chunkSettingMode | Manual configuration | Flexibly adjust chunking rules for data sources in different formats such as system lists and security logs, adapting to the diversity of classified protection data |
Three common errors
- The phenomenon: After renaming a Java interface document to TXT format and uploading it, the parsing result is empty or contains no valid interface security configuration content. The cause: The default TXT parsing logic does not recognize code comments and interface definition structures, and cannot extract the core fields required for classified protection evaluation.
- The phenomenon: After using chunk mode to call the pushdata API to upload documents, the status remains in indexing for a long time. The cause:
chunkSizeis set too large, or the value ofPARSE_FILE_TIMEOUT_SECONDSis insufficient, causing the parsing process to fail to complete within the specified time. - The phenomenon: After uploading a PDF evaluation report containing images, the images and embedded table content are not parsed. The cause: The
customPdfParseconfiguration is not enabled. The default PDF parsing logic only extracts plain text content and ignores non-text elements.
How to confirm the configuration is correct
- Upload a single classification determination report, check whether the parsed text contains control item numbers and description fields, and verify the integrity of core business fields.
- View the running logs of the parsing task, confirm there are no timeout errors, and verify that the task duration matches the expected configuration.
- Test uploading HTML-format Javadoc interface documents, confirm that the parsing result includes interface parameters and security-related descriptions, with no content loss.
- After adjusting the
chunkSplitterconfiguration, verify whether the chunking result retains the document's title hierarchy, with no cross-paragraph splitting of control item content.
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 2026-10-19.