What the data for this category looks like
Data sources for this category include China Government Procurement Network, local government procurement websites, the fiscal integration system, the procurer’s budget system, and supplier credit records. The update frequency is daily. Commonly processed documents cover procurement requirements, procurement plans, bidding documents, tender documents, bid evaluation reports, winning announcement notices, procurement contracts, and responses to objections. The documents involve entities such as procuring units, the government procurement supervision department of the finance department, procurement agencies, and evaluation experts. Document structures vary by business phase, including standardized fields like procurement targets, budget amount, supplier qualification requirements, and evaluation criteria. Some documents use structured formats exported from systems, while others are offline scanned or stamped PDF files.
Constraints imposed on document parsing and chunking
The daily high-volume document updates require the parsing link to support batch processing, to avoid delays that disrupt ledger summary progress. Structural differences across business documents are significant, ranging from clause-based procurement requirements to tabular bid evaluation reports. Chunking logic must adapt to these varied document structures. Document formats from multiple sources are mixed, including both structured exported files and unstructured stamped PDFs. The parsing workflow must support these different format types. Accurate extraction of standardized fields directly impacts the accuracy of subsequent ledger summary. Parsing errors may lead to bid invalidation or regulatory penalties, so chunking must retain field association relationships.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Government procurement documents include long paragraphs of procurement requirements and evaluation criteria. This range preserves field association while avoiding overly fragmented chunks |
chunkSplitter | Split by title + paragraph | Most government procurement documents have clear chapter titles. Splitting by titles maintains the integrity of business logic |
customPdfParse | Enabled | Adapts to common stamped and form-nested structures in government procurement PDFs, preventing standard parsing from missing key fields |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Covers large bidding documents with multiple attachments, avoiding upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Matches parsing time for multi-page large documents, preventing mid-process timeout interruptions |
chunkSettingMode | Manual configuration | Adjust chunking parameters for different document types such as bidding, tendering, and bid evaluation to fit specific business scenarios |
Three Common Configuration Mistakes
- Parsing returns no results after configuring
CUSTOM_READ_FILE_URL. The root cause is failure to adapt to multi-source paths for government procurement documents. For example, encrypted local paths exported by fiscal systems are not correctly mapped to the custom interface. - An error occurs when calling the document parsing tool after enabling workflow file upload. The root cause is failure to adjust
UPLOAD_FILE_MAX_SIZE. Bidding documents exceeding the default threshold cannot complete upload and parsing. - Some PDFs cannot be recognized. The root cause is failure to enable
customPdfParse. Stamped areas or embedded forms in government procurement PDFs cannot be processed, leading to failed extraction of key qualification fields.
How to Verify Configurations Are Correctly Set
- Upload a standard bidding document, and confirm that the chapter titles of the parsed chunks match the original title hierarchy of the document.
- Upload a bidding document larger than 500 MB, and confirm that the parsing task completes within 600 seconds with no timeout errors.
- Enable
customPdfParse, then upload a stamped bid evaluation report, and confirm that supplier qualification fields are fully extracted and chunked. - Check the manual configuration items under
chunkSettingMode, and confirm that chunking parameters have been set separately for different document types.
Reference only; verify against the target FastGPT release and deployment documentation. The values provided 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.