What the data for this category looks like
Core data for this category originates from the full production process of injection molded parts. Daily documents include injection molding process cards, raw material drying records, mold histories, first-piece inspection forms, patrol inspection logs, material change and machine cleaning records, and more. Data sources cover resin batch property sheets, injection molding machine operating parameters, mold temperature controller data, MES systems, and dimensional and appearance inspection results. Data update frequency is adjusted based on production pace. New documents are generated for each batch of raw material feeding, each mold or material change, and each shift’s patrol inspection. Document structures vary significantly: Process cards include filling, holding, and cooling window parameter tables. Raw material records note drying temperature and duration. Mold histories track usage counts and maintenance cycles. Patrol logs use short fields to record real-time equipment status.
What constraints these characteristics impose on the "document parsing and chunking" workflow
High data update frequency and diverse document types require the parsing link to support batch processing of multiple production batches’ documents, to avoid timeouts caused by overly large single parsing volumes. Different documents have clear scene-specific field and unit characteristics. For example, mold temperature uses degrees Celsius, injection pressure uses megapascals, and drying duration uses hours. During chunking, the association between fields and corresponding parameters must be retained to prevent semantic breakage after splitting. Defect analysis in injection molding scenarios relies on complete production chain data. The parsing link must ensure that key information such as resin batch numbers and mold numbers is not lost, otherwise quality traceability cannot be completed. Additionally, some documents contain complex tables and forms. Parsing must accurately extract structured content to avoid redundant or missing text blocks that affect subsequent analysis.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the paragraph and field lengths of injection molding scenario documents, avoids splitting critical process parameter groups |
chunkSplitter | Mixed paragraph + fixed length | Balances semantic integrity for long process paragraphs and short patrol inspection logs, adapts to multi-type document structures |
customPdfParse | Enabled | Supports extraction of structured tables and form fields from injection molding process cards and mold histories, improves parsing accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Meets parsing time requirements for multi-batch production documents and large mold history files |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to scenario needs for batch importing multi-batch production documents |
chunkSettingMode | Manual mode | Allows adjustment of chunking parameters for different types of injection molding documents, adapts to scenario-specific parsing needs |
Three common configuration errors
- Batch uploading injection molding production record documents results in a parsing task timeout error. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout duration is insufficient for the parsing process of multi-batch documents. - After enabling
customPdfParse, the extracted injection molding process card table fields are empty. Cause: Custom parsing rules were not adjusted for PDF forms in the injection molding scenario, leading to failed structured parameter extraction. - When using versions prior to FastGPT v4.17.0, the file parsing tool cannot be triggered during conversations. Cause: The built-in PDF parsing engine of the corresponding version has insufficient compatibility with complex documents in the injection molding scenario. Switch to a compatible parsing method.
How to confirm the configuration is properly set
- Upload a standard injection molding process card PDF, and check if the parsing result fully extracts core parameter fields such as filling pressure, mold temperature, and cooling time.
- View the parsing task’s running logs to confirm that the
PARSE_FILE_TIMEOUT_SECONDSparameter is active, with no timeout-related error messages. - Randomly select a segment of chunked text, and confirm that adjacent chunks contain associated production data and process parameters, with no critical information split and broken.
- Batch upload 5 or more different types of injection molding documents, and confirm that all parsing tasks complete normally, with no field loss or parsing failures.
The values provided are common starting points and should be measured against the reader's own samples.