What This Category of Data Looks Like
Refined oil sales internal office and employee service data mainly comes from gas station operation ledgers, employee shift schedules, oil product inventory and sales reports, safety inspection logs, internal training documents, and similar sources. The update rhythms vary significantly: real-time inspection logs are updated frequently daily, inventory and sales reports are updated per shift or daily, employee shift schedules are updated weekly, and internal training documents are added as needed. Document types include structured tables (with merged cells and multi-dimensional fields), unstructured paragraph text, and scanned inspection records. Fields and units include oil product number, inventory volume (tons/liters), sales unit price (yuan/liter), inspection duration (hours), employee ID, job title, and similar items.
Constraints for Document Parsing and Chunking
Merged cells and multi-dimensional fields in structured tables will cause the default chunking logic to fail to fully retain data associations, requiring targeted adjustments to parsing rules. The short text and high-frequency update characteristics of real-time inspection logs require chunking granularity to adapt to short-text context associations, avoiding splitting key information. Large inventory and sales report files have significant size, which puts requirements on upload and parsing timeout settings. The existence of mixed document types requires chunking modes to be compatible with both structured tables and unstructured text, making it unable to use a single chunking logic to cover all scenarios. Differences in data update frequencies also require the parsing process to adapt to both scheduled batch processing and real-time synchronization modes.
How to Set the Configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Refined oil internal documents include long-text inspection reports and short-text ledger entries. This range balances context association and chunking granularity, avoiding splitting key information |
chunkSplitter | Mixed chunking by table + paragraph | Internal documents contain both structured inventory and sales tables and unstructured training text. Mixed chunking can retain the association of different types of data |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Monthly inventory and sales ledger files in a single batch have large sizes. This setting prevents upload failures due to file size limits |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large collections of scanned inspection record PDFs takes a long time. This duration prevents parsing from being interrupted mid-process due to timeout |
customPdfParse | Enabled | Some safety inspection PDFs contain scanned content or merged cells. Custom parsing can fully extract table content and text information |
chunkSettingMode | Manual mode | Separate adjustment of chunking parameters is required for different types of documents such as inventory and sales tables, inspection logs, and training documents, to adapt to mixed document scenarios |
Three Common Misconfigurations
- Scenario: After importing Excel files from a Feishu folder, table fields are empty in the parsing result. Cause: The
chunkSplitterconfiguration was not adjusted to table-first mode. The default chunking logic cannot recognize the row and column structure of structured tables, resulting in lost fields. - Scenario: After calling a tool to initiate an HTTP request, logs show normal parameter parsing but subsequent execution is not triggered. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting is too short. Preparations for parsing large documents are not completed, causing the tool call chain to be interrupted. - Scenario: Uploaded PDF knowledge base files cannot be opened for preview in the results. Cause:
customPdfParsewas not enabled. The default parsing only extracts raw text and does not generate preview-adapted formatted content, resulting in inability to open normally.
How to Confirm the Configuration Is Correct
- Upload a single structured inventory and sales table document, check whether the parsing result retains the merged cell content and field associations.
- Upload a batch of scanned inspection record PDF files, verify whether the parsing task duration falls within the range specified by the preset
PARSE_FILE_TIMEOUT_SECONDS. - Initiate a tool call test, confirm that the link is normally triggered after parameter transfer, and there are no logs related to timeout interruptions.
- Import Excel and multi-dimensional documents from a Feishu folder, check whether the parsed chunks retain the row and column structure and data integrity of the table.
The values provided here are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.