What the Data for This Category Looks Like
Power industry investment research data primarily originates from annual financial reports of power enterprises, grid-connected operation logs, power dispatch bulletins, industry policy documents, and unit technical manuals. Update rhythms vary significantly: policy documents are updated quarterly or for specific events, operation logs are updated hourly or in real time, and technical manuals use static updates. Document structures include structured tables (with fields such as installed capacity, feed-in tariff, with units MW and yuan per kilowatt-hour), long-text reports, and semi-structured dispatch data. Some documents contain industry-specific terminology and formatting standards.
Constraints Imposed on Deployment and Upgrade Workflows
The multi-type and varied update rhythm characteristics of power investment research data impose clear constraints on deployment and upgrade workflows. Structured tables require pre-configured field validation rules to ensure parsed units and formats comply with industry standards. During upgrades, legacy field mapping logic must be compatible to avoid data loss. High-frequency updates of real-time dispatch data require deploying incremental synchronization components. During upgrades, synchronization protocols must be updated simultaneously to maintain data timeliness. The high proportion of long documents requires adjusting parsing timeout and segmentation parameters to prevent large file upload failures. During upgrades, document parsing libraries must be updated to support recognition of industry-specific terminology and avoid parsing errors.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Power industry feasibility study reports, dispatch bulletins and similar documents have large file sizes, requiring sufficient parsing time |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports upload of large-capacity files such as unit operation logs and annual financial reports |
maxContext | 800–1200 characters | Adapts to segmentation processing of long texts in the power industry, balancing recall accuracy and context length |
RECALL_TOP_N | Top 10 entries | Covers recall requirements for multi-dimensional data required for power investment research, including policy, operation, and market data |
MONGODB_URI | Full authenticated connection string | Power data storage requires stable database connections to avoid connection failures due to incomplete configuration |
PNPM_VERSION_REQUIRE | >=9.0.0 | FastGPT 4.8.7 and later versions require this version of pnpm for dependency installation, to avoid version mismatches |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Issues
- Issue: After deploying FastGPT 4.8.10, some browsers cannot open the platform, and dependency library loading failure errors appear in the console. Cause: This version updated frontend JS dependency libraries, and older browsers do not support the new dependency specifications.
- Issue: Locally deployed MongoDB on Windows 10 cannot connect, returning a
connection refusederror. Cause: TheMONGODB_URIdoes not fully include the port number or authentication parameters, and local access permissions for MongoDB are not enabled. - Issue: Dependency installation fails after upgrading to FastGPT 4.8.7 or later. Cause: The installation command was not executed using pnpm >=9.0.0, leading to dependency package version mismatches.
How to Confirm Proper Configuration
- Upload a long power industry document, such as an annual operation report, wait for parsing to complete, and check that the parsed text structure is complete with no obvious truncation or garbled text.
- Run a MongoDB connection test, use the configured
MONGODB_URIto attempt reading and writing test data, and confirm the connection is working properly. - Run the
pnpm -vcommand to confirm the current pnpm version meets the requirements of the deployed FastGPT version. - Initiate a tool call debug, check that the returned results contain power industry-specific fields and units, with no extra invalid content.
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.