What the data for this category looks like
Data sources include public market data from domestic and overseas futures exchanges, periodic reports of listed energy metal companies on A-shares and Hong Kong stocks, and monthly statistical reports from industry associations. Quarterly reports are disclosed within 30 days after the quarter ends. Annual reports are disclosed by April 30 of the following year. Spot and inventory data are updated daily and weekly. Most documents are in PDF or web page format, containing structured tables and text descriptions. Fields include lithium concentrate output, average lithium carbonate price, inventory levels, import and export scale, and more. Units include tons, yuan/ton, ten thousand tons, ten thousand USD, and others. Some industry statistical reports are in scanned document format.
What constraints do these characteristics impose on deployment and upgrade?
The multi-source dispersion, large update frequency differences, and mixed formats of energy metal financial report and market data create multiple constraints for deployment and upgrade. Adapt pull logic for multiple data sources, and configure timeout and format validation rules for different data sources. Set layered scheduling tasks for different update frequencies to avoid excessive system resource usage by high-frequency tasks. Configure structured parsing parameters for mixed-format documents, adapting to PDF embedded tables and field extraction rules after OCR for scanned documents. Preset field caliber mapping rules to unify units and statistical calibers from domestic and overseas data sources, preventing deviations in analysis results.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Energy metal financial report PDFs often contain long tables and multi-page content, requiring sufficient parsing time |
SCHEDULER_CRON_EXPR | Financial report pull: 0 0 2 1-30 1/3 *, Spot data pull: 0 0 1 * * * | Adapts to quarterly report disclosure cycles and daily update rhythm of spot data |
DATA_SOURCE_WHITELIST | Includes domain names of the Shanghai Stock Exchange, LME, and China Nonferrous Metals Industry Association | Limits valid data sources to avoid pulling invalid data |
FIELD_MAPPING_RULES | Map according to "original field name → standard field name + unit" | Unifies differences in units and statistical calibers between domestic and overseas data sources |
MAX_CONTEXT_LENGTH | 8000–12000 characters | Energy metal financial reports have many fields and rich details, requiring adaptation for long-text context parsing |
OCR_ENABLED | Enabled | Some industry association reports are in scanned document format, requiring OCR to extract text |
Three common errors
- Phenomenon: When calling the MCP plugin to generate charts, only XML or JSON code blocks are returned, with no visual rendering results. Cause: The rendering bridge parameters of the MCP plugin are not configured, or the front-end chart rendering permission is not enabled.
- Phenomenon: An
Error response from daemon: error from registrymessage is returned when executing the version upgrade command. Cause: Network fluctuations interrupt the image pull process, or the image tag is spelled incorrectly. - Phenomenon: Unable to pull the specified image when deploying on an arm64 architecture server. Cause: The image tag for the corresponding architecture is not used, or the multi-architecture synchronization policy of the image repository is not configured.
How to confirm the configuration is correct
- Run a single data source pull test, check if the returned data fields and units match the preset mapping rules.
- View the scheduled task logs to confirm that pull tasks with different update frequencies are triggered as expected and complete data synchronization.
- Upload an energy metal financial report PDF, check if the parsed structured fields are complete and the units are correct.
- Call the test MCP plugin to generate a chart, confirm that the code block returned by the plugin can be normally rendered into a visual result.
The parameter values provided on this page are general recommendations that serve as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
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.