What this category of data entails
Daily documents for this category include batching lists, smelting logs, electrolytic cell condition logs, test reports, anode and cathode quality records, environmental protection ledgers, and others. Data sources cover concentrate and auxiliary material analysis, industrial control systems (DCS), cell voltage and current monitoring, laboratory testing, and energy and environmental monitoring systems. Document update frequency aligns with production cycles, with real-time updates per raw material batch, each furnace, or each cell. Most documents are structured tables or fixed-field reports. Core fields include raw material grade, cell voltage, metal recovery rate, impurity content, and more. Units include percentage, ampere, ton, milligram per liter, and other standard industrial units.
What constraints these characteristics impose on document parsing and chunking
The mixed structure of structured tables and fixed-field reports means parsing and chunking must avoid disrupting the integrity of business units, and prevent splitting cross-field business data. High-frequency real-time updated production documents require parsing processes to deliver sufficient response speed, to avoid impacting subsequent scheduling and accounting work. Large format differences across document types require adaptation of diverse parsing rules; a single universal chunking logic cannot be used. The accuracy of parsing core business data directly affects subsequent process adjustments and exception handling. Therefore, chunking must retain sufficient contextual association information to ensure complete business logic can be retrieved during searches.
How to set configurations
These recommendations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the length of a single business record in this category of documents, avoids splitting complete cross-field business units |
chunkSplitter | Chunk by table + paragraph | Adapts to documents with structured tables such as batching lists and electrolytic cell condition logs, retains the integrity of table cells and content |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Covers parsing time for large smelting logs and quarterly environmental protection ledgers, prevents timeout for high-frequency production data parsing tasks |
customPdfParse | Enabled | For fixed-format reports in this category, use custom parsing rules to retain field hierarchy and recognition of professional symbols |
UPLOAD_FILE_MAX_SIZE | 500 MB | Allows uploading batch raw material analysis summary documents, meets processing needs for mass production data |
Three common errors
- Phenomenon: An error "the argument ‘windows-1252’ is invalid encoding" appears when uploading a PDF of electrolytic cell condition logs. Cause: The document contains professional symbols unique to the smelting industry or non-standard encoding from older reports. The default parsing engine cannot recognize this encoding format.
- Phenomenon: Raw material grade values in batching lists are lost after chunking. Cause:
chunkSplitteris configured as pure paragraph chunking, which does not retain table structure. This causes table cell content to be split across different text chunks. - Phenomenon: Parsing tasks time out when batch uploading summary files for multiple furnace smelting logs. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set too low, and does not match the actual parsing time of large summary documents.
How to confirm configurations are set correctly
- Upload a typical electrolytic cell condition log PDF, check if the parsed text fully retains the content and hierarchical relationship of core fields such as cell number, voltage, and current.
- Randomly sample chunked text blocks, confirm that structured table content is not split across blocks, and each block corresponds to a complete single business record.
- Submit a quarterly environmental protection ledger file larger than the conventional single document size, verify that the upload and parsing process does not trigger the
UPLOAD_FILE_MAX_SIZElimit. - Run batch parsing tasks, confirm all tasks complete within the time set by
PARSE_FILE_TIMEOUT_SECONDS, with no timeout error messages.
The values provided here are common starting points, and should be evaluated against the reader's own operational samples.