What the Data for This Category Looks Like
The data for photovoltaic financing daily reports primarily comes from photovoltaic project record announcements released by local energy authorities, photovoltaic credit disclosure documents from policy banks and commercial banks, and financing ledgers from third-party photovoltaic industry data service platforms. Updates run daily in the early morning, covering new photovoltaic financing projects from the previous day and financing changes for existing projects. Each daily report uses a project list as its core structure. It includes fields such as project record number, installed capacity, financing subject, fund provider, financing amount, financing term, and project location. The unit for installed capacity is megawatts (MW), the unit for financing amount is ten thousand yuan RMB, and the unit for financing term is months.
Constraints on Workflow Orchestration
The daily updated data sources require the workflow to configure a scheduled trigger node, and the trigger window must align with the data source’s disclosure rhythm to avoid missing newly added projects that day. Multi-source data access requires parallel calls to different interfaces such as record announcements and bank credit disclosures. A cross-source data alignment node must be configured to unify field mapping rules and eliminate differences in field names across data sources. Fixed field units and types require configuring type conversion and unit standardization rules during the data cleaning phase to prevent deviations in subsequent numerical calculations. The presence of a unique identifier field requires adding a deduplication step based on the record number in the workflow to prevent duplicate daily report entries. For scenarios with large per-project data volumes, split long text field processing nodes to avoid workflow timeouts.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Scheduled Trigger Interval | 86400 seconds | Matches the daily update rhythm of photovoltaic financing daily reports, ensuring the data collection and generation process runs exactly once per day. |
Field mapping rule | Align fields by record number | Unifies field names across different data sources, ensuring multi-source collected data can be merged for processing. |
Data Cleaning Timeout | 300 seconds | Adapts to the cleaning requirements of photovoltaic financing projects with many fields, preventing workflow interruptions due to excessive data volume. |
Deduplication Matching Field | 备案编号 | Uses the unique identifier of photovoltaic financing projects to filter duplicate collected project entries. |
maxContext | 2000 characters | Adapts to the text length of the project list in a single daily report, ensuring the workflow can fully pass the daily report content. |
Database Connection Timeout | 60 seconds | Adapts to the interface response speed of industry data platforms, preventing connection failures due to network fluctuations. |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Each situation requires separate analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: The database connection node returns the
Access denied for usererror after execution. Cause: The database connection permission whitelist is not configured, or the entered account password does not match the permissions required by the data source. - Phenomenon: After updating a global variable in the workflow, subsequent nodes calling the variable still display the initial value. Cause: The global variable transfer switch is not enabled after the variable update node, or the variable update logic is not bound to the current execution branch.
- Phenomenon: The radio variable of the user selection node cannot receive the option value passed in by the global variable, or the preset context is not loaded when calling the workflow API. Cause: The global variable is not mapped to the data source configuration of the user selection node, or the API request does not carry the correct context parameters.
How to Confirm Proper Configuration
- Manually trigger the workflow once, check if the returned data from each data source node matches the expected photovoltaic financing project fields.
- View the global variable update log to confirm that the variable is correctly modified during execution and passed to subsequent nodes.
- Verify that the radio options of the user selection node can load the configuration items passed in by the global variable, or confirm that the workflow API call can normally carry the context.
- Wait for the scheduled trigger node to execute once, confirm that the next day’s daily report data can be automatically generated and the workflow loop is completed.
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.