What the data for this category looks like
Data sources for commercial real estate intelligent due diligence reports include property ownership registration documents, project feasibility study reports, lease contracts, monthly cash flow statements, market research briefings, and others. Update cycles vary significantly by document type. Ownership documents are static archived data. Lease contracts are updated dynamically upon renewal or rent adjustment. Market research briefings are released quarterly.
Document structures cover mixed-format scenarios, including plain text Word documents, multi-page PDF reports, Excel tables with merged cells, and PPT presentation materials with charts. Fields include professional content such as parcel number, floor area ratio, gross floor area, rent per unit area, and vacancy rate. Units mostly use industry standard ones like square meters, yuan per square meter per day, and percentage.
Constraints for Document Parsing and Chunking
Mixed-format document sources require parsing tools to adapt to the structural logic of text, table, and presentation files. Large feasibility study reports and cash flow statements often contain dozens of pages and have large single-file sizes. Parsing tools must support stable processing of large files.
The presence of professional fields and specific units requires the parsing process to retain original field names and unit information, to avoid loss of critical business data. Lease contracts and cash flow statements contain a large number of associated data across paragraphs and cells. Chunking must retain contextual associations to avoid splitting that breaks business logic.
Some old archived documents use non-standard encoding formats, so parsing tools must support multi-encoding parsing capabilities.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_MAX_SIZE | 200 MB | Commercial real estate due diligence reports often include multi-page feasibility studies and large cash flow Excel files. 200 MB covers most single-file sizes. |
CHUNK_SIZE | 800–1200 characters | Due diligence reports contain technical terms and long sentences. This range retains clause context and avoids splitting that breaks business logic. |
CHUNK_OVERLAP | 150–200 characters | Lease contracts and cash flow statements have cross-segment associated data. Overlap reduces the probability of context loss. |
PARSE_ENCODING | auto-detect | Some old archived documents use non-UTF-8 encoding. Auto-detection avoids encoding errors. |
PARSE_TIMEOUT_SECONDS | 600 seconds | Large PDF or Excel parsing requires longer processing time. 600 seconds covers most complex scenarios. |
ENABLE_MERGED_CELL_PARSE | enabled | Commercial real estate documents widely use merged cells to mark project information. Enabling this allows complete field extraction. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- The error
the argument ‘windows-1252’ is invalid encodingoccurs during parsing. This happens when auto-encoding detection is not enabled, and UTF-8 is forced for parsing old non-standard encoding documents. - Table fields are missing or units are lost after parsing. This happens when merged cell parsing is not enabled, preventing complete extraction of professional fields nested in merged cells.
- Parsing timeout occurs when uploading a feasibility study report with a single-file size over 150 MB. This happens when
PARSE_TIMEOUT_SECONDSis set too low, failing to adapt to the parsing time required for large documents.
How to Confirm the Configuration Is Correct
- Upload a commercial real estate feasibility study PDF with more than 100 pages. Check that parsed segments have no obvious truncation, and each segment retains complete business context.
- Upload a cash flow Excel table with merged cells. Check that parsed table fields are complete, and units such as rent per unit area and gross floor area are correctly extracted.
- Upload an old Word document using non-standard encoding. Check that there are no encoding errors and the original content is fully displayed.
- After configuring
CUSTOM_READ_FILE_URL, upload a local test file via the workflow. Check that the file path can be obtained normally and the parsing process is completed.
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.