What the data for this category looks like
Documents used for photovoltaic power station credit due diligence for financial institutions mainly come from power station completion acceptance reports, operation and maintenance logs, original component testing data, land ownership documents, and financial calculation documents. Due diligence documents for new power station projects are submitted in one-time batches, while operation and maintenance documents are updated quarterly or monthly. Documents include official reports in PDF format, structured ledgers in Excel format, and long-text testing instructions. Specific fields include peak power, irradiation, component model, etc., with corresponding units of kWp, kWh/㎡, and model codes.
What constraints do these characteristics impose on the document parsing and chunking link?
The multi-format sources of photovoltaic due diligence documents require the parsing module to support PDF, Excel, and long text formats simultaneously. This prevents structured tables from being split and damaging field associations. Large-volume documents submitted in one-time batches increase parsing time. The module must adapt to timeout thresholds for long document processing. Unique characteristics of industry-specific fields and units require the parsing module to retain the binding relationship between fields and units. This avoids parameter confusion caused by general-purpose parsing. Periodically updated operation and maintenance documents must support incremental chunking. This prevents repeated parsing of already processed content.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Photovoltaic due diligence documents usually contain multiple pages of testing data and tables. Single reports have large file sizes, so sufficient time is required to complete full parsing |
maxChunkSize | 800–1200 characters | Photovoltaic documents contain a large number of industry parameters with specific units. Chunks that are too long will lead to redundant retrieved context, while chunks that are too short will break the binding relationship between parameters and their descriptions |
PARSE_EXCEL_STRUCTURE | Enabled | Excel ledgers for photovoltaic due diligence contain structured component power and irradiation data. Enabling this setting retains row and column associations of tables and prevents data loss |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Complete due diligence documents for large photovoltaic power stations may contain multiple reports and raw data files. This setting adapts to large-volume upload requirements |
RECALL_CHUNK_COUNT | Top 8–10 chunks | Core parameters of photovoltaic due diligence are scattered across different chunks. A sufficient number of chunks must be retrieved to cover complete parameter association information |
PARSE_IMAGE_IN_PDF | Enabled | Some photovoltaic testing reports are embedded as images in PDFs. Enabling this setting extracts text parameters from images |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After uploading a photovoltaic due diligence PDF, the interface displays the
PARSE_FAILEDstatus code, and a request failure prompt appears after parsing time exceeds the preset threshold. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted for large-volume photovoltaic documents. The default timeout duration is insufficient to complete parsing of multi-page reports. - Symptom: After uploading a photovoltaic operation and maintenance Excel ledger, some component power and irradiation fields are empty, resulting in incomplete knowledge base data after training. Cause: The
PARSE_EXCEL_STRUCTUREconfiguration is not enabled. The general-purpose parsing mode splits the table structure, leading to loss of associated fields. - Symptom: Photovoltaic testing images embedded in PDFs cannot be parsed, and no parameter text from the images appears in the extraction results. Cause: The
PARSE_IMAGE_IN_PDFconfiguration is not enabled. The default setting only parses the PDF text layer and does not extract text content from embedded images.
How to confirm configurations are correctly set
- Upload a single large-volume photovoltaic due diligence document, check whether parsing time matches the preset timeout configuration, and confirm no timeout errors occur.
- Upload an Excel file containing a structured component parameter table, check whether parsed chunks retain complete field associations.
- Upload a PDF report containing embedded testing images, check whether the parsing results include industry parameter text from the images.
- Export the current knowledge base's parsing configurations, import them to a new server, and check whether parsing rules match the original configurations.
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.