What the Data for This Category Looks Like
The data for wind power financing daily reports primarily comes from publicly available wind power project filing information and grid connection acceptance data released by local energy authorities, as well as credit approval ledgers from cooperating financial institutions. Full synchronization of the previous day’s data is completed every early morning. Each daily report document includes two parts: structured tables and supplementary notes. Structured fields include project ID, project name, installed capacity (unit: megawatt), financing application amount (unit: ten thousand yuan), credit granting institution, approval progress, grid connection plan date, and affiliated administrative region. The note field supplements descriptions of special project approval conditions.
Constraints Imposed on Workflow Orchestration
The data characteristics of wind power financing daily reports impose clear constraints on workflow orchestration. Multi-source and heterogeneous data sources require configuring multiple parallel nodes in the workflow to pull data from different sources, while adding a format conversion node to unify field structures. The daily update synchronization cycle requires binding the workflow to a daily scheduled trigger rule, and configuring incremental deduplication logic to avoid duplicate data entry. Fixed-unit numeric fields require adding a parameter validation node to filter entries with abnormal units for installed capacity and financing amount. Enumerated approval progress fields require configuring a rule node to map states to standardized classification tags. Unstructured note fields require configuring a text extraction node to extract special project approval conditions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
SCHEDULE_CRON_EXPR | 0 2 * * * | Matches the daily update cycle of wind power financing daily reports, avoids peak business hours, and ensures data synchronization stability |
DATA_PARALLEL_LIMIT | 3–5 concurrent requests | Adapts to the needs of multi-source data pulling, avoids exceeding the call quota limits of third-party interfaces |
FIELD_UNIT_VALIDATION | {"装机容量": "兆瓦", "融资申请额度": "万元"} | Matches the fixed field unit rules of daily reports, blocks data entries with abnormal formats |
DUPLICATE_FILTER_KEY | ["项目编号"] | Uses project ID as the unique identifier, effectively filters duplicate synchronized daily report data and avoids redundant entry |
TEXT_EXTRACT_TEMPLATE | Extract special approval conditions for wind power projects from notes, list them by item | Targets the unstructured content of wind power project notes, accurately extracts required business information |
MAX_INPUT_TOKENS | 8192 tokens | Adapts to the input length limits of mainstream large models, avoids triggering input over-limit errors |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to conduct tests on internal samples before finalizing the settings.
Three Common Misconfiguration Issues
- Phenomenon: AI chat nodes trigger input over-limit errors, or directly return no results. Cause: The
MAX_INPUT_TOKENSparameter is not configured to limit input length, and no input truncation node is added to handle ultra-long text. - Phenomenon: The workflow cannot recognize JPG format attachment files. Cause: The
UPLOAD_FILE_ALLOWED_EXTconfiguration of the file upload node is not enabled, and JPG and JPEG are not included in the allowed file type list for uploads. - Phenomenon: The knowledge base search node cannot correctly reference variables to filter data. Cause: The variable selection function is not enabled in the search configuration, and fields such as project ID are not configured as referenceable variable parameters.
How to Confirm Proper Configuration
- Manually trigger the workflow once, check the running logs of each node, and confirm that all requests for multi-source data pulling are completed normally.
- Submit a test data set containing abnormal unit fields, and check whether the validation node intercepts the data and generates corresponding logs.
- Configure a variable reference test case, reference the project ID variable in the knowledge base search node, and confirm that the search results match the variable value.
- Pass ultra-long test text to the AI chat node, confirm that the node triggers input truncation or interception logic, and no no-result errors occur.
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.