What Data for This Category Looks Like
Data for infrastructure construction financial report analysis comes from audited annual and semi-annual reports of listed companies, special financial reports for PPP projects, engineering settlement ledgers, and bidding and tendering record documents. Update frequency follows official report timelines: annual reports update once per year, quarterly reports update each quarter, and special project reports release alongside project settlement milestones. Available document formats include multi-page Word consolidated financial statements and Excel engineering cost details with tens of thousands of rows. Common fields include total contract value, cumulative settlement amount, completion percentage, and unit project construction and installation cost. Financial fields mostly use ten thousand yuan or hundred million yuan as units. Engineering quantitative indicators use construction units such as cubic meters and meters.
Constraints for Document Parsing and Chunking
Multi-source, heterogeneous document formats require parsing to support cross-format structured extraction. This prevents loss of engineering details from single-format parsing. Large individual file sizes and strong data correlations require chunking to retain contextual connections between adjacent fields. Group fields for the same engineering contract — such as contract value, settlement progress, and cost details — into a single chunk. This avoids breaking business connections across chunks. Special fields unique to infrastructure financial reports, such as completion percentage and unit project cost, require chunking to retain their binding to corresponding projects. This prevents fields from becoming disconnected from their business entities after parsing. Periodically updated document versions require automatic identification of version identifiers before chunking. This prevents mixing old and new data, which disrupts subsequent analysis.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Infrastructure financial reports often include tens of thousands of rows of Excel details and ten-thousand-word Word reports. This upper limit covers most individual file sizes |
PARSE_SEGMENT_LENGTH | 800–1200 characters | Infrastructure financial reports have strong field correlations. This length retains complete business information for a single engineering contract, avoiding cross-chunk fragmentation |
PARSE_EXCEL_MAX_ROWS | 20000 rows | Infrastructure engineering ledgers often include tens of thousands of rows of detailed data. This upper limit covers parsing needs for most project ledgers |
CHUNK_OVERLAP_RATE | 10–15 % | Infrastructure financial reports have tightly linked fields. This overlap rate ensures contextual coherence and reduces breaks in business information |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large files requires extended processing time. This duration prevents parsing failures from mid-process interruptions |
EMBEDDING_MAX_TOKENS | 1024 tokens | Matches input limits for most mainstream vector models, and adapts to text length requirements after chunking |
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 targeted analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Configuration Mistakes
- Scenario: After uploading an Excel engineering ledger with 15,000 rows, the parsing result only returns partial rows, or the
PARSE_EXCEL_ROW_LIMIT_EXCEEDEDerror code appears. Cause: ThePARSE_EXCEL_MAX_ROWSconfiguration was not adjusted, and the default row limit is lower than the number of rows in the ledger. - Scenario: When vectorizing chunked text, the
TOKEN_OVER_LIMITerror appears, or vector generation fails for some chunks. Cause: TheEMBEDDING_MAX_TOKENSconfiguration was not set to match the input limit of the model in use. The chunk length exceeds the range supported by the model. - Scenario: The generated chunk list after chunking a large file contains a small number of empty chunks or missing fields. Retrying multiple times temporarily resolves the issue, but it recurs occasionally. Cause: The
UPLOAD_FILE_MAX_SIZEorPARSE_FILE_TIMEOUT_SECONDSconfiguration was not adjusted. Temporary resource shortages during large file parsing cause occasional anomalies.
How to Verify Successful Configuration
- Upload a single Excel engineering ledger of a preset size, and confirm that the number of rows in the parsing result matches the source file. This verifies that the
PARSE_EXCEL_MAX_ROWSconfiguration takes effect. - Extract chunking results from a ten-thousand-word Word financial report, and check whether related fields for the same engineering contract are grouped into a single chunk. This confirms that the
PARSE_SEGMENT_LENGTHandCHUNK_OVERLAP_RATEconfigurations meet business connection requirements. - Review vector embedding logs, and confirm that no
TOKEN_OVER_LIMITerrors appear. This verifies thatEMBEDDING_MAX_TOKENSmatches the input requirements of the vector model in use. - Upload the target file of maximum expected size, wait for parsing to complete, and check the complete chunk list. This confirms that the
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSconfigurations cover parsing needs.
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.