What this category of data looks like
Data sources include the ecological and environmental law enforcement system, automatic pollution source monitoring platform, and reports submitted by third-party testing institutions. Daily generated documents include on-site inspection records, sampling records, monitoring reports, rectification order decisions, and administrative penalty decisions. The data update frequency is daily. Each individual document has a fixed structure but obvious field differences: sampling records include fields such as sampling points, testing items, and concentration values; monitoring reports include report numbers, testing basis, and over-standard judgment items; law enforcement documents include content such as illegal facts and rectification requirements. Some data comes from automated systems, and some are in paper or scanned document formats.
What constraints these characteristics impose on the document parsing and chunking link
The differences in multi-source data and document formats require the parsing process to adapt to structured system data, semi-structured testing tables, and unstructured law enforcement documents simultaneously. The daily updated batch data requirement requires the parsing process to have stable concurrent processing capabilities to avoid task backlog or timeout. The fields of different documents are strongly correlated. For example, the detection points in the sampling records need to be bound to the corresponding concentration values, and the illegal facts in the law enforcement documents need to correspond to the monitoring report data. Chunking operations must not break the evidence chain. Some documents are in scanned format, so the parsing link must correctly recognize text content to avoid loss of key information that affects subsequent drafting of law enforcement documents.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapt to the paragraph length of law enforcement documents and monitoring reports, avoid splitting associated content of key evidence |
chunkSplitter | By paragraph + semantic boundary | Adapt to structural differences of multi-format documents, retain the correlation between detection data and law enforcement clauses |
customPdfParse | Enable table parsing mode | Accurately extract fields and values for structured tables in monitoring reports and sampling records |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Adapt to the parsing time of batch scanned documents and large monitoring reports, avoid timeout failures |
UPLOAD_FILE_MAX_SIZE | 100–200 MB | Support the upload requirements of single large monitoring reports or batch law enforcement documents |
chunkSettingMode | Manual mode | Adjust chunking rules for different document types to ensure the integrity of the evidence chain |
Three common misconfigurations
- Symptom: No working task is displayed on the parsing node after a file is uploaded. Cause: The
UPLOAD_FILE_MAX_SIZEparameter matching the document size is not set, or the value ofPARSE_FILE_TIMEOUT_SECONDSis too short, causing the parsing task to be automatically terminated before completion. - Symptom: Only partial field data is captured from the database or testing report. Cause: The structured parsing mode of
customPdfParseis not enabled, or thechunkSizeis set too small, splitting complete table rows into multiple chunks, causing associated fields to not be fully recognized. - Symptom: Multiple accounts in the team cannot share the same knowledge base resource. Cause: Team permission rules are not correctly configured in FastGPT v4.17.0, or the multi-account team binding function is not enabled during deployment.
How to confirm the configuration is correct
- Upload a typical monitoring report. Verify that the parsed text blocks retain the complete fields and values of the table, confirming that the
customPdfParseconfiguration takes effect. - Upload a single law enforcement document with a size of 150 MB. Check that the parsing task completes within the time set by
PARSE_FILE_TIMEOUT_SECONDSwithout timeout errors. - Create two different accounts and add them to the same team. Attempt to access the parsing results of the same knowledge base, confirming that the permission configuration is correct.
- Adjust
chunkSizeto 1000 characters, split an on-site inspection record. Check that the chunked content retains the correlation between the sampling points and the corresponding detection data.
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.