What this category of data looks like
Policy and regulatory basis documents for refining and chemical production come mainly from official public documents issued by State-owned Assets Supervision and Administration Commissions, the Ministry of Emergency Management, and petroleum and petrochemical industry associations. They also include group internal safety regulations, environmental emission standards, and compliance inspection manuals. Document update cycles adjust alongside new policy releases and annual compliance revisions, with no fixed schedule. Most documents follow a chapter-based structure, containing policy document numbers, issuing entities, effective dates, and clause details. Some documents include embedded compliance value tables, using refining-specific units such as ppm, cubic meters, and tons. Core fields focus on clause numbers, applicable scenarios, and penalty standards.
Constraints on document parsing and chunking
The chapter-based structure of refining policy documents requires chunking to preserve title hierarchy links. This prevents splitting clause logic. Embedded compliance value tables must be fully extracted. Missing this data prevents accurate responses to compliance value-related questions. Metadata in long documents, such as policy numbers and effective dates, must be parsed with associated content. Without this, Q&A cannot connect to specific policy references. Professional units cannot be separated from preceding numerical values. Doing so breaks compliance descriptions. Group-level policy collections have large file sizes. Parsing and chunking workflows must accommodate these long documents.
Configuration Settings
These configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | The length of single clauses in refining production policy documents mostly falls between 500-1000 characters. This range preserves full context for individual clauses |
chunkSplitter | By title hierarchy + paragraph breaks | Documents are structured around chapters and clauses. Chunking by hierarchy avoids breaking policy logic |
customPdfParse | Enabled | Refining policy PDFs often include official document numbers and compliance value tables. Custom parsing preserves metadata and table formatting |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Single group-level policy collection PDFs can exceed 60 pages. This range covers full parsing workflows |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploads of multiple policy documents, matching group internal document storage scales |
chunkSettingMode | Manual mode | Allows adjustment of chunking parameters for different document types such as safety regulations and environmental standards |
Three Common Mistakes
- Symptom: After uploading a policy PDF, parsing results are empty or only extract a small amount of text. Cause:
customPdfParseis not enabled. The default parser cannot recognize official document numbers and embedded tables, leading to loss of valid content. - Symptom: Chunking splits "Safety Compliance Standard Clause X" across two blocks, breaking context. Cause:
chunkSplitteris configured to only split by line breaks, without adapting to the document's title hierarchy structure. - Symptom: Parsing tasks for large policy collections time out and fail. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set below the actual required parsing duration, without adjusting timeout settings for long industry-specific documents.
How to Verify Proper Configuration
- Upload a typical refining safety regulation PDF. Check if parsing results retain clause numbers, effective dates, and embedded compliance value tables.
- Review chunking results. Confirm that long policy clauses are not split unnecessarily, and adjacent blocks have logical continuity.
- Upload a single policy collection with more than 50 pages. Confirm no timeout errors occur during parsing.
- Test different types of policy documents. Confirm chunking parameters can be flexibly adjusted to match different document structures.
The values provided above are common starting points. They should be assessed against corresponding sample documents.
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.