What the data for this category looks like
Production ledgers for electroplating and chemical surface treatment include tank solution analysis records, process parameter cards, fixture records, film thickness and adhesion reports, hazardous waste ledgers, wastewater monitoring records and other documents. Data sources include customer surface treatment specifications, tank solution test results, rectifier operating data, online water quality monitoring records, and hazardous waste management ledgers. Updates occur per tank batch, per shift, or on a fixed monitoring cycle. Documents include fields such as batch number, timestamp, process parameters, test values, with parameters paired with corresponding units, such as pH value, degrees Celsius, amperes, micrometers, kilograms, and other units.
What constraints these characteristics impose on the document parsing and chunking stage
Documents for this category have diverse types, including structured tables, short text records, and long text ledgers. Chunking must retain the association between parameters and their corresponding units. It must avoid splitting single test records or process parameters. Frequently updated ledgers require the parsing process to have sufficient efficiency. Large-volume batch files need support for longer parsing durations. Data from different sources, such as online real-time monitoring data and offline ledgers, must retain contextual boundaries during chunking. This ensures that subsequent summaries can associate data by batch and tank batch. At the same time, fields in hazardous waste and environmental protection related documents must be fully retained, to avoid losing key associated information during parsing.
How to set up the configuration
This document is compatible with FastGPT v4.17.0. The following configurations are designed for document parsing and chunking requirements in the electroplating and chemical surface treatment scenario:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field association of multi-parameter tables and long-text ledgers for this category, avoids splitting single test records or process parameters |
chunkSplitter | Split by paragraph and table boundaries | Retains structural integrity of documents such as tank solution analysis and film thickness reports, prevents separation of parameters and their corresponding units |
customPdfParse | Enabled | Adapts to complex PDF formats including process cards and hazardous waste ledgers, retains original layout and field positions, supports structured field extraction |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Handles batch-uploaded hazardous waste ledgers and compressed packages of multi-tank batch test records, avoids parsing timeouts for large files |
UPLOAD_FILE_MAX_SIZE | 100 MB | Supports uploading compressed packages of monthly wastewater monitoring records in one go, meets batch ledger upload requirements |
chunkSettingMode | Manual configuration | Adjusts chunking parameters for different document types, such as short-text fixture records and long-text hazardous waste ledgers, to suit specific use cases |
Three common mistakes
- Symptom: Returns empty values when parsing references fields, or fails to associate tank batch information. Cause: The
customPdfParseconfiguration is not enabled, resulting in structured fields not being accurately extracted, and associated reference fields not being identified. - Symptom: No chunking configuration option appears in the FastGPT knowledge base after uploading a PDF. Cause: The locally deployed PDF parsing tool is not correctly connected to the FastGPT interface, or
customPdfParseis not enabled in the system configuration. - Symptom: When calling the parsing script via the HTTP interface, the uploaded file cannot be parsed correctly, or returns empty results. Cause: The duration of
PARSE_FILE_TIMEOUT_SECONDSis not correctly configured, or the port setting does not match the FastGPT call port, resulting in data transmission timeout or interruption.
How to confirm the configuration is complete
- A single tank solution analysis record PDF is uploaded. The parsed text blocks are checked to confirm they retain the association between parameters and their corresponding units, with no split loss.
- A compressed ledger package under 100 MB is uploaded. The parsing progress is verified to complete within the duration set by
PARSE_FILE_TIMEOUT_SECONDS, with no timeout error prompts. - The document management page of the knowledge base is accessed. The uploaded electroplating process card is selected, and it is confirmed that the chunking rules for
chunkSizeandchunkSplittercan be manually adjusted. - A long PDF containing a hazardous waste ledger is parsed for testing. It is confirmed that the chunking does not split the associated content of single hazardous waste output and its corresponding timestamp.
The values provided here are common starting points, and should be evaluated against the reader's own samples.