What the Data for This Category Looks Like
Industrial park investment research data sources include official park investment brochures, monthly operation reports, land transfer approvals, annual reports of settled enterprises, park rating reports released by local housing and urban-rural development departments, and public industrial policy documents. Update cadence varies by document type: investment brochures are updated once, monthly operation reports are updated monthly, annual reports of settled enterprises are updated annually, and land transfer documents are updated irregularly. Document formats cover PDF, Excel, and scanned images. Document structures include long-text policy chapters, multi-header structured ledgers, and mixed-text-and-graphics planning descriptions. Quantifiable indicators with clear units include floor area (unit: square meters), plot ratio, unit rent (unit: yuan/square meter/month), tax contribution (unit: ten thousand yuan), and others.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking?
The multi-source, multi-format data characteristics of industrial parks impose multiple constraints on document parsing and chunking. First, documents include mixed-text-and-graphics planning descriptions and multi-header structured ledgers. Support for multi-format parsing and table structure retention is required to avoid losing field and unit associations after chunking. Second, some documents are in scanned format. Additional support for OCR to extract text and table information from images is needed. Third, long-text operation reports and large-volume documents updated irregularly require longer parsing timeouts and higher upload thresholds to avoid parsing interruptions or upload failures. Fourth, investment research scenarios require retaining cross-chapter associated information. Chunking must prioritize division by document logical blocks to ensure that associated information such as policy clauses and operation data is not split apart.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Industrial park documents often contain multi-page long tables and mixed-text-and-graphics content, with longer parsing time than general documents. This range covers most long document parsing needs |
maxChunkSize | 800–1200 characters | Industrial park documents include both long policy texts and structured ledger entries. This range balances context integrity and recall accuracy |
chunkOverlap | 100–150 characters | Cross-chunk park operation data (such as monthly rent changes) requires retaining associated context to avoid information breaks |
ENABLE_TABLE_PARSE | Enabled | Industrial park documents contain a large number of structured investment ledgers and rent statistics tables. Enabling this parameter retains the correspondence between table fields and values |
OCR_ENABLED | Enabled | Industrial park documents often include scanned planning drawings and approval documents. OCR can extract text and table information from images |
UPLOAD_FILE_MAX_SIZE | 500 MB | Annual operation report collections from large parks may exceed general upload thresholds. Adjusting this value supports complete document uploads |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After uploading a 100+ page park annual operation report, the parsing result only returns the first 30 pages, and the task status shows timeout. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The default timeout duration is insufficient to complete long document parsing. - Phenomenon: When using the Doc2x tool to parse park investment Excel files, an error message containing the
read file failedfield is returned, and the Doc2x function works normally in a local Docker deployment. Cause: There is a network connectivity issue between the FastGPT container and the Doc2x container, or the file parsing directory is not correctly mounted. - Phenomenon: After parsing the park rent ledger table, only numerical content is retained, and the unit information "yuan/square meter/month" is lost. Cause: The
ENABLE_TABLE_PARSEparameter is not enabled, or table context association is not retained during chunking, resulting in structured data being split into scattered characters.
How to Confirm Proper Configuration
- Upload a single-page park policy PDF document, check if the parsing result completely retains policy clauses and document number information, and adjust the
maxChunkSizeandchunkOverlapparameters to a range that meets business requirements. - Upload a park rent ledger Excel file with multiple headers, check if the parsing result retains the correspondence between table column headers and corresponding values, and confirm that the
ENABLE_TABLE_PARSEparameter is enabled. - Upload a scanned park planning drawing, check if the parsing result extracts text annotations from the image, and confirm that the
OCR_ENABLEDparameter is enabled. - Upload a 100+ page park annual operation report PDF, check if the parsing duration meets expectations, and confirm that the
PARSE_FILE_TIMEOUT_SECONDSparameter is set appropriately.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.