What the data for this category looks like
Aquaculture financial report analysis data primarily comes from publicly disclosed periodic reports of listed companies, statistical reports on the aquaculture industry released by industry regulatory authorities, and internal aquaculture operation ledgers collected by enterprises. Data update rhythms fall into two categories: periodic financial reports are updated quarterly or annually, while monthly aquaculture operation data is updated monthly. The document structure includes two parts: standard financial statements and aquaculture business notes. The business note fields cover aquaculture varieties, cumulative seedling stocking quantity, surviving individual quantity, total feed consumption, per-pond aquaculture yield, etc. Corresponding units are ten thousand fry, tons, kilograms per pond, respectively.
What constraints do these characteristics impose on workflow orchestration
Aquaculture financial report data sources are scattered, including public announcements, industry reports and internal ledgers. Workflows must support multi-source data access, and cover both structured reports and unstructured text formats. Data update cycles vary by quarterly, annual and monthly intervals. Multi-cycle scheduled trigger nodes must be configured to adapt to different data update rhythms. Financial report documents contain many aquaculture-specific fields. Custom field mapping must be supported to extract aquaculture data from unstructured notes into standardized variables. Some aquaculture parameters have different text expressions across varieties. Branch orchestration logic must be configured to switch data extraction rules based on aquaculture varieties.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Aquaculture financial report PDFs usually include multiple pages of business notes. Parsing takes longer, so extending the timeout prevents task interruptions |
WORKFLOW_TRIGGER_CRON | 0 0 2 * * 1,3,5 | Adapts to the data collection rhythm after quarterly financial report disclosures, and the update cycle of monthly aquaculture operation data |
EXTERNAL_MCP_ENABLE | Enabled | Aquaculture financial report analysis requires access to industry public APIs to obtain real-time aquaculture market data. External MCP plugins must be enabled for docking |
VARIABLE_REFERENCE_SCOPE | Global + Workflow Private | Global preset aquaculture industry parameters must be reused. Workflow private variables are retained to store temporary data for single-batch analysis |
CODE_RUNNER_TIMEOUT | 600 seconds | Scripts for batch cleaning of operation ledger data usually take a long time to run. The timeout must match the actual script execution time |
SPLIT_CHUNK_SIZE | 800–1200 characters | Parameter paragraphs in aquaculture business notes are usually long. This split length avoids damaging the integrity of field expressions |
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. It is recommended to test on your own samples before finalizing the settings.
Three common mistakes
- Phenomenon: After configuring
EXTERNAL_MCP_ENABLEin the workflow, calling the external API returns a403 Forbiddenerror code. Cause: The API key and access whitelist configuration for the MCP plugin have not been completed. External requests fail permission verification. - Phenomenon: The code execution node shows "execution failed" with no valid error message after running. Cause: The script did not specify a dependency environment, or referenced an aquaculture data processing toolkit that was not imported in advance.
- Phenomenon: The dropdown box for knowledge base variable references has no optional values. Global variables cannot be called in workflow nodes. Cause: The global variable reference permission for the workflow has not been enabled, or the corresponding data source scope has not been bound in the knowledge base configuration.
How to confirm the configuration is complete
- Trigger a test run, check the workflow logs for timeout-related prompts to confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration takes effect. - Manually enter a simulated aquaculture financial report data entry to test the variable reference function. Confirm that both global variables and workflow private variables can be called normally.
- Run the code execution node, check the execution logs for prompts indicating successful dependency library loading. Confirm that the code running environment is configured correctly.
- Call the configured MCP plugin interface, check if the returned results include relevant aquaculture industry data. Confirm that the external plugin is connected normally.
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.