Deployment and Upgrade for Water Industry Research Report Retrieval

Water industry research report data mainly comes from industry association public reports, internal operation ledgers of water utility groups

What the data for this use case looks like

Water industry research report data mainly comes from industry association public reports, internal operation ledgers of water utility groups, monitoring data from water conservancy and ecological environment departments, and special policy documents. Update cadence falls into three categories: monthly operation reports, quarterly water quality analysis, and annual industry development reports. Document structure includes three types: structured monitoring data tables, semi-structured analytical text, and policy excerpts. Core fields include COD concentration, water supply volume, pipe network leakage rate, and operation and maintenance duration. Corresponding units are mg/L, ten thousand cubic meters, percentage, and hours.

Constraints imposed on deployment and upgrade by these characteristics

The characteristics of water industry research report data impose multiple constraints on the deployment and upgrade process. Mixed-format documents require multi-source parsing plugins to be configured during deployment, to adapt unified parsing logic for structured tables, plain-text policies, and semi-structured analytical content. Data sources with different update frequencies require adjustments to incremental synchronization scheduling strategies during upgrades, to avoid excessive server resource usage from full synchronization. Specialized fields with specific units require custom field mapping rules to be configured, to prevent unit recognition errors during parsing. Long document volumes require verification of chunk splitting parameters after upgrade, to ensure complete retention of key information and avoid truncation of core monitoring data.

How to set configurations

Configuration ItemRecommended SettingRationale
UPLOAD_FILE_MAX_SIZE1000 MBWater industry research reports often include multi-page annual reports and raw monitoring data tables. Single-file size may exceed standard office documents
PARSE_FILE_TIMEOUT_SECONDS900 secondsLong document parsing requires extensive table splitting and field extraction. Standard timeout durations are insufficient to complete parsing
maxContext1500–2000 charactersKey information such as water quality indicators and pipe network parameters in water industry research reports must be fully retained. Excessive truncation should be avoided
retrieval_top_kTop 8 entriesWater industry scenarios require coverage of multi-dimensional data such as water quality, cost, and policy. Too few retrieved entries will miss key associated information
API_KEY_EXPIRE_DAYS30–90 daysRestrict key usage duration and call times for non-commercial version scenarios, to comply with industry compliance requirements
SANDBOX_NODE_VERSION20.20.0Adapt to the runtime dependencies of new FastGPT parsing plugins, to avoid sandbox environment startup errors

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis. It is recommended to perform tests on deployment-specific samples before finalizing settings.

Three Common Mistakes

  • After upgrade, viewing knowledge base file details displays "Invalid dataset file key". The cause is that the dataset access key was not regenerated after version upgrade, or key configuration was not synchronized to all deployment nodes.
  • Configuring the qwen3-max model returns a 404 status code (no body). The cause is that the deployed FastGPT version does not adapt to the API interface format of this model, or the correct model identifier was not filled in the model access configuration.
  • The Node version in the sandbox image was not upgraded to 20.20.0, causing timeout or format errors when parsing water industry research reports. The cause is that the parsing plugin of the new FastGPT version depends on this Node version, and lower versions cannot be compatible with the plugin operating logic.

How to Confirm Configuration is Correct

  • Upload a water industry research report file larger than 100 MB. Verify that upload progress completes within 15 minutes, and parsing status shows "Completed".
  • Access the model configuration page, attempt to connect to the qwen3-max model. Confirm that the interface returns normally without 404 status code errors.
  • Access the system settings page, check that the API_KEY_EXPIRE_DAYS configuration value falls within the 30–90 day range, consistent with preset rules.
  • Trigger an incremental synchronization task. Review synchronization logs to confirm inclusion of the latest water industry operation data, with no abnormal 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.