What the Data for This Category Looks Like
Four main sources provide data for photovoltaic intelligent due diligence reports: component manufacturer factory parameter documents, real-time operation logs from power station operation and maintenance systems, irradiation and temperature data from local meteorological stations, and power generation settlement records from grid interconnection. Two update frequency categories apply:
- Basic parameters such as component model and installed capacity use static updates, adjusted only when manufacturers release new iterations.
- Operation data and real-time power generation are updated hourly. Meteorological data is synchronized at minute-level intervals.
Document structures include fields such as basic power station information, component specification parameters, irradiation duration, monthly power generation, and fault alarm records. Most units use dedicated power and meteorological units including kWp, kWh, W/m², and ℃.
Constraints for Multi-turn Dialogue and Prompt Engineering
The layered static and dynamic structure of photovoltaic due diligence data requires multi-turn dialogue prompts to clearly distinguish trigger logic between basic parameter calls and real-time data retrieval, to avoid mixing data sources with inconsistent update rhythms. The presence of dedicated fields and units requires prompts to guide dialogue participants to explicitly specify target fields and corresponding units, to prevent parameter confusion. The combination of long document structures and multi-dimensional data requires multi-turn dialogue to support on-demand refresh of specific module data, while limiting the scope of context recall to avoid irrelevant data interfering with dialogue logic.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Photovoltaic due diligence reports contain multi-dimensional data. Excessively long context reduces response speed. This range covers core data while ensuring processing efficiency |
similarity_top_k | Top 6–8 entries | Photovoltaic data has many fields. Too many recalled entries introduce irrelevant parameters; too few fail to cover complete due diligence dimensions |
prompt_template | Assemble prompts in a layered structure of "basic power station information + real-time operation data + meteorological data" | Photovoltaic due diligence has clearly layered data sources. Layered prompts improve information retrieval accuracy |
chat_completion_timeout | 300 seconds | Real-time retrieval of meteorological and operation data requires waiting for interface responses. This duration covers most data synchronization scenarios |
PARSE_FILE_MAX_SIZE | 50 MB | Photovoltaic due diligence reports contain large volumes of operation logs and parameter documents. This upper limit accommodates complete imported content while avoiding parsing timeouts |
recall_mode | Weighted recall based on data update time | Dynamic operation data has stronger timeliness. Weighted recall prioritizes returning the latest information |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, 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
- Issue: Custom prompts do not take effect when calling the
/api/v1/chat/completionsAPI, and returned content deviates from photovoltaic due diligence objectives. Cause: The system prompt role is not correctly configured in themessagesparameter of the request, or the prompt is not placed first in thesystemtype message. - Issue: Photovoltaic parameter units returned in dialogue responses are inconsistent, with mixed use of kW and W. Cause: Prompts do not explicitly require the use of dedicated units, and follow-up confirmation of user-specified units is missing during multi-turn dialogue.
- Issue: Image links in imported Markdown-format photovoltaic due diligence documents do not include domain names, and cannot load properly during dialogue. Cause: Image domain name auto-completion is not enabled in document parsing configuration. This setting only takes effect during Word imports, and domain name completion rules for Markdown import scenarios are not configured synchronously.
How to Verify Correct Configuration
- Call the
/api/v1/chat/completionsAPI, check if the request body includes asystemrole prompt, and verify that the prompt matches the layered structure for photovoltaic due diligence. - Initiate a test dialogue, input "Query the real-time power generation of a certain power station", and check if the returned result explicitly specifies dedicated units and includes the latest operation data.
- Upload a Markdown-format photovoltaic due diligence document, and check if the parsed image links include complete domain names.
- View session logs to confirm that the number of recalled context characters falls within the preset
maxContextrange.
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.