What the data for this category looks like
Data sources for the coal chemical industry include monthly production ledgers submitted by industry associations, daily transaction data from commodity spot platforms, quarterly compliance test reports from ecological environment departments, and internal monthly energy consumption records of enterprises. Data update rhythms fall into three categories: production data is updated monthly, transaction data is updated daily, and compliance test data is updated quarterly. Document structures include structured CSV ledgers (with production capacity and output indicators), PDF-format physical and chemical test reports, and archived environmental impact assessment documents. Core fields include designed production capacity (unit: ten thousand tons/year), actual monthly output (unit: tons), dry basis ash content (unit: mass fraction), and fresh water unit consumption (unit: cubic meters per ton of product).
What constraints do these characteristics impose on tool calling and plugins?
Differing update rhythms across multi-source data require tool calling to support differentiated scheduled pull strategies. Daily transaction data needs high-frequency scheduled tasks. Monthly production data and quarterly compliance data need execution plans matching their respective cycles. Diverse document structures require plugins to support multi-format parsing. Structured CSV files can extract fields directly. PDF test reports need industry-specific keyword matching rules to extract indicators such as dry basis ash content. Differences in field units (such as ten thousand tons/year versus tons) require embedding unit conversion logic in the tool calling chain to avoid calculation deviations across data sources. The quarterly update cycle of compliance data requires adding timeliness verification logic during tool calling, to automatically filter expired data older than 90 days.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Scheduled Task Cycle | Daily data sources: 12 hours; Monthly data sources: 30 days; Quarterly data sources: 90 days | Matches the update rhythm of corresponding data sources, avoids repeated pulls or expired data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Coal chemical test reports are mostly multi-page PDFs with large volumes of physical and chemical indicators; a longer timeout ensures complete parsing |
Custom Parsing Template | Preset "Coal Chemical Industry Test Report Template" | Configures keyword matching rules for exclusive fields such as dry basis ash content and fresh water unit consumption, improves parsing accuracy |
Field Unit Conversion Switch | Enabled | Differences in output units across data sources include ten thousand tons/year and tons; conversion ensures consistency of cross-data source data |
HTTP_REQUEST_TIMEOUT | 30 seconds | The interface response speed of commodity trading platforms fluctuates; 30 seconds covers most normal request scenarios |
DATA_VALIDITY_DAYS | 90 days | The update cycle of compliance test data is quarterly; 90 days ensures data timeliness meets due diligence requirements |
The parameter values provided on this page are all 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. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Symptom: When making HTTP requests for tool calls, logs show normal parameter parsing, but the interface does not trigger execution, and returns status code
403 Forbidden. Cause: The whitelist permission for the corresponding interface is not added in the FastGPT plugin configuration, or required API key parameters are missing from the request header. - Symptom: When calling third-party large models or embedding models, the error
{"object":"error","message":"Only allowed now"}is returned. Cause: The FastGPT third-party model calling permission is not enabled, or the configured model interface fails the platform's whitelist verification. - Symptom: Exclusive fields such as dry basis ash content and fresh water unit consumption in coal chemical test reports are parsed as empty, or parsing results deviate significantly from actual values. Cause: The custom parsing template exclusive to the coal chemical industry is not used; general parsing rules cannot match the keywords and formats of exclusive fields.
How to confirm the configuration is complete
- View the plugin's scheduled task logs to confirm that data sources of different cycles are pulled at the preset time, with no timeout or failure records.
- Upload a PDF of a coal chemical industry test report, use the custom parsing template to parse it, and check whether the extraction results of fields such as dry basis ash content and fresh water unit consumption meet expectations.
- After configuring the third-party model interface, initiate a test call to confirm that no permission error is returned and parameter transfer is normal.
- View the statistical data after field conversion to confirm that the units of output and energy consumption indicators across data sources are unified, with no calculation abnormalities caused by unit conflicts.
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.