What the data for this category looks like
The financial report data of cement enterprises mainly comes from annual reports and quarterly reports of listed companies disclosed by stock exchanges, as well as operation data documents released by industry associations. Annual reports are disclosed once per year. Quarterly reports are updated each quarter. Temporary announcements are released as needed. Document structures typically include the main financial statements and a chapter discussing and analyzing operating conditions. The operating chapter contains product-specific revenue and sales volume data. Most tables use multi-column, multi-row structured formats. Some historical documents are in scanned image format. Fields and units cover exclusive content such as cement sales volume, clinker sales volume, cement production cost per ton, and operating revenue. Units include ten thousand tons, yuan per ton, ten thousand yuan, and others.
Constraints on Document Parsing and Chunking
The multi-product segmented data structure of cement financial reports requires precise splitting into sub-sections such as cement business and clinker business during parsing. This prevents cross-category data mixing. Some historical documents are in scanned image format. Professional terms such as clinker and kiln operating rate are more difficult to recognize than general text. This increases the error rate of the OCR link. The length of single documents varies widely. Reasonable chunking thresholds must be set to avoid overly fine splitting that breaks context, or overly coarse splitting that fails to meet the granularity requirements of subsequent analysis. Financial reports contain a large number of structured fields with units. Chunking must retain unit information within tables, otherwise ambiguity will occur during subsequent data calls. The format of temporary announcements is not fixed, with no unified template. This increases adaptation costs for parsing non-standard documents.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_OCR_ENABLE | true | Adapts to scanned historical financial report documents, extracts text and table data from images |
PARSE_TABLE_EXTRACT_MODE | structured_only | Most tables in cement financial reports are structured financial data. Prioritize extracting reusable structured formats to avoid losing field associations during plain text conversion |
CHUNK_SIZE | 800–1200 characters | Balances chapter integrity and chunk granularity for financial reports, prevents loss of business context after splitting |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Adapts to large annual financial report documents, prevents task failure caused by parsing timeout |
ENABLE_CHUNK_METADATA_EXTRACT | true | Retains metadata such as units and product categories in tables, ensuring field accuracy for subsequent analysis |
MAX_PARSE_FILE_SIZE | 500 MB | Covers the single-file size of most cement enterprise financial reports, prevents parsing interception due to oversized files |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- The interface displays "Unable to read this file content", and the backend log shows an OCR error. Cause: The
PARSE_OCR_ENABLEconfiguration is not enabled, or the resolution of the scanned document is insufficient, preventing the OCR module from extracting valid text. - A Feishu knowledge base cannot sync PPT or PDF format documents. Cause: The parsing whitelist for the corresponding file types is not configured, or the knowledge base sync permission scope does not cover unstructured document formats.
- Model calls fail with a file parsing timeout error. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter has not been adjusted to a value suitable for large files, or the single file size exceeds theMAX_PARSE_FILE_SIZElimit.
How to Confirm Proper Configuration
- Upload a single quarterly financial report PDF for a cement enterprise. View the parsed text preview, and confirm that the structured table’s fields and units are fully retained.
- Check the current values of backend configuration items. Confirm that the values of
PARSE_OCR_ENABLEandENABLE_CHUNK_METADATA_EXTRACTmatch the preset configuration. - Upload financial report documents in different formats, including scanned images and PPT format briefings. Verify that parsing tasks do not produce timeout errors.
- View the preview of chunking results. Confirm that the chunk granularity covers complete business chapters, and no cross-category data mixing occurs.
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.