Reference only; verify against the target FastGPT release and deployment documentation.
What the data for this category looks like
Construction machinery sector party building learning data primarily originates from internal party building documents of public and state-owned enterprise equipment manufacturing divisions. It also comes from party building courseware supporting equipment maintenance, and industry-specific party building thematic documents. Updates occur on a quarterly or monthly basis, synchronized with new equipment launches. Document formats include PDF, HTML, TXT, including code documents with renamed extensions. Most documents contain chapter titles, body paragraphs, and party building points linked to equipment parameters. Some documents embed equipment diagrams and code snippets. Content combines party building theory and construction machinery business operations.
What constraints these characteristics impose on document parsing and chunking
The multi-format nature of construction machinery party building documents requires the parsing process to adapt to PDF, HTML, and renamed code file input types. This avoids format recognition errors that lose content. Embedded code snippets and equipment parameters require chunking to retain contextual connections. Arbitrary splitting that breaks the binding between party building knowledge points and business content must be avoided. Long document parsing takes extended time. Reasonable timeout configuration is needed to prevent interruptions. Non-standard text structures such as renamed Java interface files also require additional adjustments to parsing strategies.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the chapter length of construction machinery party building documents. Prevents breaking the connection between party building knowledge points and business content caused by overly long chunks |
chunkSplitter | Split by paragraph + title | Retains the chapter structure of party building documents. Ensures each chunk contains complete knowledge points and business association information |
customPdfParse | Enabled | Processes party building PDF documents with equipment charts and embedded text. Extracts key party building content linked to images |
UPLOAD_FILE_MAX_SIZE | 500 MB | Meets the upload requirements for full lifecycle party building documents of large equipment. Prevents interception due to oversized files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses the time required for long document parsing. Prevents forced interruption of the parsing process due to timeout |
chunkSettingMode | Manual configuration | Flexibly adjusts parsing parameters for non-standard format party building files such as HTML and renamed code documents |
Three common errors
- After uploading a Java interface document with a TXT file extension or an HTML interface document generated by javadoc, the parsing result contains no valid content. Cause: Default parsing rules do not recognize the structure of code or HTML documents. It cannot extract key party building associated information.
- After using the
chunkmode to call the pushdata API to upload a document, the interface remains in the indexing status for an extended period. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration value is lower than the actual time required for document parsing. This leads to forced interruption of the parsing process. - After uploading a construction machinery party building PDF document with embedded images, the text content linked to the images is not extracted. Cause: The
customPdfParseconfiguration is not enabled. The default PDF parsing only extracts plain text content. It ignores party building related text in embedded images.
How to confirm the configuration is correctly set
- Upload a test document containing equipment parameters and party building key points. Check if the length of the parsed chunks matches the
chunkSizeconfiguration value. - View the parsing log of the uploaded file. Confirm that the
customPdfParseconfiguration is enabled. No format parsing error messages should be present. - Call the pushdata API to upload the test file. Verify that the returned parsing result fields contain complete party building knowledge points and business association content.
- Adjust the
chunkSplitterconfiguration to split by title. Re-upload the document with chapters. Check if chunks are split along chapter boundaries.
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.