What this category of data looks like
This category covers carbonated, juice, tea, functional beverage, and packaged drinking water factories. Daily documents include formula sheets, water treatment records, blending records, sterilization or aseptic filling records, packaging material inspection reports, and finished product inspection reports. Data sources include water source and raw material testing systems, formula management systems, online sugar and acidity monitoring equipment, filling equipment, visual inspection systems, and LIMS systems. Updates are performed per production batch or shift, or collected continuously. Most documents contain precise numeric fields and fixed-format inspection items.
What constraints do these characteristics impose on the "document parsing and chunking" link
Mixed real-time data collected continuously and batch documents require chunking to adapt to different length requirements of short-cycle high-frequency data and long-cycle summary documents. Structured numeric fields from multiple sources need precise matching of parsing rules to avoid unit confusion or field loss. High-frequency updated documents require controlling per-chunk parsing time to meet real-time call needs in production. Differences in structure across document types require chunking strategies that flexibly adapt to content characteristics of fixed-format reports and free-text exception analysis.
How to set the configurations
These configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the mixed structure of this category's documents, which includes both long-text inspection records and short numeric fields, avoiding splitting critical feeding or detection parameters |
chunkSplitter | Fixed character + semantic segmentation | Matches format differences across multiple document types, balancing chunking rationality for both structured fields and free text |
customPdfParse | Enable structured parsing mode | Targets fixed-format documents such as formula sheets and inspection reports, accurately extracting fields and numeric values to avoid format confusion |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers parsing time for batch documents, avoiding parsing timeouts caused by high-frequency continuously collected documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates complete production record packages per batch, adapting to factory needs for batch uploading archived documents |
chunkSettingMode | Dynamic switching per document type | Distinguishes short documents collected in real time from long archived reports, flexibly adjusting chunking parameters |
Three common errors
- Symptom: No response from the parsing node after uploading a water treatment record, with a timeout status code. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and parsing time for long high-frequency continuously collected documents exceeded the default threshold. - Symptom: Only some feeding parameters are captured after parsing a formula sheet, with empty fields. Cause: The structured parsing mode of
customPdfParsewas not enabled, causing fixed-format numeric fields to be misjudged as ordinary text and split and lost. - Symptom: Content of Markdown-format exception reports is truncated after parsing. Cause: The
chunkSizesetting is too small, splitting long-text exception analysis content into multiple chunks leading to display truncation, or failing to adapt to semantic segmentation rules for long text.
How to confirm configurations are set correctly
- Upload a single typical sterilization and filling record document, check that the parsed text fully extracts timestamps, temperature parameters, and aseptic verification results.
- Batch upload 3 identical types of archived documents, confirm that parsing time does not exceed the threshold set by
PARSE_FILE_TIMEOUT_SECONDS, with no timeout errors. - Switch between different document types (such as formula sheets and exception reports), verify that
chunkSettingModeautomatically adapts to chunking rules, with no field loss or truncation. - Check that the total size of uploaded files does not exceed the limit set by
UPLOAD_FILE_MAX_SIZE, with no upload failure prompts.
The values provided are common starting points and should be measured against the reader's own samples.