What the data for this category looks like
Data for photovoltaic yield and market daily reports comes from grid connection dispatching platforms, photovoltaic power station monitoring systems, and regional power trading centers. Data is updated daily to generate full statistical documents for the previous day. Each document includes fields such as unique power station identifier, statistical date, daily grid-connected power generation, self-consumed power generation, grid settlement electricity price, and income breakdown items. Units are kilowatt-hours, yuan per kilowatt-hour, and yuan respectively. Documents are grouped by power station, and support bulk export and single-station query.
What constraints these characteristics impose on deployment and upgrade
The daily scheduled update requirement for photovoltaic daily reports means fixed trigger scheduled task rules must be configured during deployment, and support for bulk pulling multi-station data must be included. Multi-source heterogeneous data interfaces require a configurable adaptation layer during deployment, to avoid hardcoding interface parsing logic. Compliance requirements for power data require configuring interface signature verification parameters to ensure data transmission legality. Additionally, photovoltaic industry policy adjustments may add new data fields, so upgrades must support dynamic field mapping without refactoring core parsing logic.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
CRON_EXPRESSION | 0 0 1 * * * (1 AM daily) | Photovoltaic industry yield daily reports are typically generated in the early morning of the same day, waiting 1 hour before pulling ensures complete data |
DATA_SOURCE_BATCH_SIZE | 10–20 | Pulling too many in a single batch triggers interface rate limits, pulling too few reduces efficiency, calibrated to typical photovoltaic power station deployment scales |
MAX_CONTEXT_LENGTH | 8000–12000 characters | A single photovoltaic daily report includes multi-station, multi-dimensional fields, requiring sufficient context window for full data parsing |
PARSE_FIELD_MAPPING | Configured based on actual testing | Data field naming varies across different photovoltaic power stations, core fields such as station ID, power generation, and electricity price require manual mapping |
API_SIGNATURE_VERIFY | Enabled | Photovoltaic grid-connected data involves power regulatory compliance, requiring verification of interface request legitimacy |
UPLOAD_FILE_MAX_SIZE | 500 MB | A single bulk archived photovoltaic daily report file typically does not exceed this threshold |
The parameter values provided on this page are common recommended starting points 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 mistakes
- A
400 Bad Requesterror is returned when calling the model, with a prompt that the context length is exceeded. Cause: TheMAX_CONTEXT_LENGTHconfiguration was not adjusted based on the volume of photovoltaic daily reports, the default value is too small to accommodate full field data for multiple stations. - After local deployment, only 127.0.0.1 can access the tool calling interface normally, public IP access fails. Cause: Firewall rules for the server port were not configured to allow traffic, or the bound address was set only to the local loopback address.
- The yield data fields returned by tool calls are empty. Cause:
PARSE_FIELD_MAPPINGwas not configured correctly, and the actual field names from the data source were not mapped to the system's preset photovoltaic data fields.
How to confirm the configuration is complete
- Run a manually triggered pull task, check whether the pulled photovoltaic data fields match the configured
PARSE_FIELD_MAPPING. - Check server binding configuration and firewall rules, confirm that the service port can be accessed via the public IP.
- Send a test request to verify that the model calling context length is adapted to the current data pull scale.
- View scheduled task logs to confirm that the daily early morning pull task executes normally without errors.
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.