What the data for this category looks like
Business data for spray coating and painting scenarios covers multiple types of structured and semi-structured documents. These include coating process cards, paint batch sheets, paint mixing records, film thickness and color difference reports, oven curves, defect repair orders, and VOCs ledgers. Data sources include paint supplier TDS/SDS documents, spray booth and oven operating data, data collected by colorimeters and film thickness meters, and records from MES systems. Update frequency varies by business scenario: paint batch sheets are updated per batch, paint mixing records and VOCs ledgers are updated per shift, and oven curves and film thickness data are continuously collected time-series data. Document fields include parameters with clear units, such as film thickness μm, spray viscosity seconds, and VOC concentration mg/m³.
What constraints do these characteristics impose on the "document parsing and chunking" link
Heterogeneous document types from multiple sources require parsing tools to adapt to different formats. Examples include tables in structured process cards, continuous data in time-series oven curves, and bulk tables in ledgers. Frequently updated business data requires efficient parsing processes to avoid delays to real-time question-and-answer caused by long parsing times. Fields with clear units must retain their association with their corresponding units during chunking. Parameters and their units cannot be split apart. Errors in the painting scenario directly affect product appearance and compliance. Chunking must retain complete context for process steps and parameter groups. For example, pre-treatment windows and corresponding spraying parameters cannot be split into different chunks.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the typical length of process steps and parameter groups in coating documents, avoids splitting associated business content such as film thickness requirements and corresponding spraying parameters |
chunkSplitter | Split by custom delimiters + paragraphs | Adapts to structured headings in coating documents, such as "Process Requirements:" and "Test Results:", retains business context association |
customPdfParse | Enabled | Retains tables and layouts in formatted PDFs, avoids loss of key structured data such as film thickness and viscosity |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Adapts to parsing time for large oven curves and multi-batch VOCs ledgers, avoids parsing failures caused by timeouts |
chunkSettingMode | Manual mode | Adapts to differences in heterogeneous documents in coating scenarios, allows adjustment of chunking rules for different document types such as process cards and oven curves |
Three common mistakes
- Symptom: No parsing result is returned when uploading coating-related PDFs on a locally deployed FastGPT v4.8.14 instance, and the interface displays a timeout status. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the parsing time for large oven curve documents exceeded the default threshold. - Symptom: Custom parsing scripts do not take effect, and chunking cannot be performed by "defect type" for coating documents. Cause: Custom rules were not enabled in
chunkSettingMode, or the script configuration path was incorrect. - Symptom: Parsed chunk results cannot be directly exported as a structured Excel spreadsheet. Cause:
customPdfParsewas not enabled to retain table formats, resulting in loss of key structured data such as film thickness and viscosity during export.
How to confirm that the configuration is correct
- For FastGPT v4.17.0, upload a single coating process card PDF, check if the parsed preview fully retains key table content such as film thickness and spraying temperature.
- Upload a multi-batch VOCs ledger document, verify that chunk results are grouped by batch, and associated data from the same batch is not split.
- Upload an oven curve document larger than 10MB, confirm that no timeout error is triggered for the parsing task.
- Adjust the
chunkSizeparameter, compare content before and after chunking, ensure that pre-treatment and spraying window parameters are included in the same chunk.
The configuration values provided here are common starting points. They should be validated against samples appropriate for the specific deployment context.