What This Type of Data Looks Like
Power industry financial report data mainly comes from National Energy Administration public disclosure documents, annual and quarterly reports of listed power companies, and local grid operation announcements. Update schedules are as follows: annual full financial reports (audited prior-year data released before April each year), quarterly operation briefings (current period data released within 15 days after the end of each quarter), and monthly power generation/electricity sales express reports (previous month data released before the 5th of each month). Document structures include general financial statements and power-specific fields. Special fields cover on-grid electricity price, installed capacity, coal consumption for power supply, and similar metrics. Common units are kilowatt-hour (kWh), megawatt (MW), yuan/megawatt-hour, and ten thousand kilowatts.
What Constraints These Characteristics Impose on Tool Calling and Plugins
The multi-source and decentralized nature of power industry financial report data requires tool calling to support interfacing with multiple data sources including the National Energy Administration and listed company disclosure platforms, and requires configuration of multi-source request priority and deduplication rules. The high-frequency update requirement for monthly operation data requires plugins to support lightweight calling tasks triggered daily or weekly to avoid occupying resources used for full financial report calls. The non-standardized naming of special fields requires tool calling to configure field mapping rules to adapt to field differences across different data sources. The special units of power-related fields require plugins to include built-in unit verification logic to prevent incorrect results where extracted values do not match their units.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 600 seconds | Power financial report interfaces return large datasets containing multiple special reports, and the standard 30-second timeout is insufficient to complete full requests |
plugin_request_retry | 2 retries, 10-second interval | Public disclosure sites may have access rate limits, and a retry mechanism can reduce the impact of temporary access failures |
field_mapping_rules | Pre-set mapping tables by data source | Naming of power-specific fields varies across platforms, and pre-set mappings can unify extraction of target fields |
data_source_filter | Only enable National Energy Administration and leading listed power company disclosure interfaces | Avoid data bias caused by accessing non-authoritative data sources |
scheduled_task_interval | 7 days for monthly data, 1 day for annual data | Match the update frequency of different data types to reduce invalid calls |
unit_validation_enabled | Enabled | Power field units are diverse, and verification can prevent incorrect combinations of extracted values and units |
The parameter values provided on this page are common 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 test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: When importing a plugin on private deployment version V4.14.1, an
internal server errorprompt appears. Cause: ThePLUGIN_ALLOWED_DOMAINSwhitelist is not configured in environment variables, resulting in plugin interfaces being blocked. - Issue: When using an MCP tool wrapped with the SSE protocol, the local deployment environment prompts that only stdio processes are supported. Cause: The built-in MCP adapter of FastGPT enables stdio mode by default, and SSE compatibility configuration is not enabled.
- Issue: Power-specific fields extracted after calling the HTTP request component are empty. Cause:
field_mapping_rulesare not configured, so the tool cannot recognize the naming rules of non-general financial fields.
How to Confirm Proper Configuration
- Initiate a single tool call request, check whether the returned results include power-specific fields and match the preset unit rules.
- Check the scheduled task log to confirm that plugin calling tasks with different update frequencies are triggered at preset intervals.
- Simulate an access rate limit scenario to verify that the plugin request retry mechanism works, with no consecutive failure error reports.
- Import a test power financial report data source to confirm that the field mapping rules correctly convert field names.
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.