What Power Industry Financing Daily Report Data Looks Like
Data sources include local energy regulatory department public disclosure documents, official announcements of power enterprises, and industry financing filing platforms. Updates follow a daily schedule. Financing data disclosed on the same day is summarized before 10:00 AM the next day. Document structure primarily uses structured tables, with five core fields: full name of financing subject, financing amount (ten thousand yuan), financing purpose, credit granting institution, release date. Supplementary items include project type (such as wind power, photovoltaic) and financing term (months).
Constraints for Multi-turn Dialogue and Prompt Engineering
The structured field design of power industry financing daily reports requires explicit specification of fixed fields during multi-turn dialogue, to prevent the model from generating undefined additional content. The daily update rhythm requires embedding a current date check prompt in the prompt template, to ensure the model only uses summary data from the current day and the previous day. Specific unit rules require clear labeling in the prompt that financing amounts must use ten thousand yuan as the unit, and financing terms must use months as the unit, to avoid unit confusion. The fixed field order in structured documents requires output results to be sorted according to the original field order of the document during multi-turn dialogue, to align with industry usage habits.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single power industry financing daily report document typically ranges from 2000 to 5000 characters. Multi-turn dialogue needs to retain three rounds of context, and this range covers complete context requirements |
prompt_template | “Please organize financing daily report data in the following field order: full name of financing subject, financing amount (ten thousand yuan), financing purpose, credit granting institution, release date, financing term (months). Only use information from the document, do not fabricate content” | Matches the fixed field structure and industry usage habits of power industry financing daily reports |
VAR_API_PASS_THROUGH | Enabled | Supports passing custom variables (such as the current query date) via API, resolving issues where variable passing does not take effect |
text_extract_threshold | 0.75 | Structured fields in power industry financing daily reports have high recognition accuracy. This threshold filters low-match irrelevant content |
response_language | Match input language | Adapts to prompt and knowledge base content in different languages, avoiding forced output of a single language |
parse_file_timeout | 600 seconds | Parsing batch power industry financing daily report documents takes extended time. This duration prevents parsing timeout errors |
The parameter values provided on this page are common starting points for configuration setup. Actual values are influenced by material format, data volume and business rules. Each scenario requires separate analysis. It is recommended to test on your own samples before finalizing the configuration.
Three Common Misconfigurations
- Phenomenon: After calling the API to pass prompt variables, the returned result does not replace the variable content and is irrelevant to the preset scenario. Cause: The
VAR_API_PASS_THROUGHconfiguration item is not enabled, or the variable format does not comply with the{{variable name}}template specification. - Phenomenon: After uploading a power industry financing daily report document, when text extraction fails to hit core fields, the preset user prompt reply is not triggered. Cause: The
text_extract_fallbacktrigger condition is not configured, or the process node waiting for user input is not connected. - Phenomenon: After deploying a custom model, an error occurs when parsing uploaded power industry financing daily report files. Cause:
parse_file_max_sizeis not configured to a value adapted to the document size, or the model's file parsing plugin does not adapt to structured table documents.
How to Verify Correct Configuration
- Call the test API to pass custom variables, check whether the returned result correctly replaces the variable content.
- Upload a power industry financing daily report document that does not contain complete core fields, check whether the preset text extraction failure prompt is triggered.
- Enter an English prompt and upload an English knowledge base document, check whether the model output language matches the prompt language.
- Upload a single power industry financing daily report document, check that the parsing completion time does not exceed the preset timeout threshold.
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.