What the data for this category looks like
Financial report data for the power grid equipment industry is sourced from periodic reports disclosed by stock exchanges and operation briefings released by industry associations. Three update cycles apply: quarterly reports are updated every 3 months, annual reports are updated once per year, and temporary announcements are released in real time alongside project progress. Document structures include three core sections: standardized financial statement modules, operating indicator details, and project construction ledgers. Some documents also include bidding project details and upstream raw material procurement data. Covered fields include operating revenue, attributable net profit, grid-connected capacity, transmission line length, equipment gross margin, and others. Common units are ten thousand yuan, ten thousand kilowatts, and kilometers.
What constraints these characteristics impose on deployment and upgrade
The lengthy document structure and industry-specific fields of power grid equipment financial reports require reserving sufficient file parsing and vector indexing resources during deployment, to avoid parsing timeouts for single documents. Concentrated updates of quarterly and annual reports create bulk data import pressure, so queue parameters adapted for batch tasks must be configured to prevent synchronization task congestion. During upgrades, vector mapping rules for existing industry fields must be retained, to avoid historical knowledge base failures caused by index structure changes. Compatibility must be maintained for document format differences across disclosed stock exchanges, to ensure normal operation of post-upgrade data synchronization workflows. Vector library word segmentation rules must also be updated for newly added industry fields. For private deployments, charging standards must be calibrated based on single-node storage capacity and concurrent request volume. Resource matching must be confirmed in advance before deployment.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single power grid equipment annual financial report documents have lengthy content, with conventional parsing time exceeding 300 seconds |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Individual annual financial report PDF files may exceed 1000 MB, so sufficient upload space must be reserved |
maxContext | 8000–12000 characters | Power grid equipment financial reports include multi-module content, so sufficient context length is required to cover complete statement segments |
SCHEDULE_SYNC_INTERVAL | Set per business requirements | Must match the concentrated update rhythm of quarterly reports. The 4.9.0 version supports custom scheduled task cycles |
VECTOR_RECALL_TOP_K | Top 8 entries | There are many industry-specific fields, so a sufficient number of relevant segments must be recalled to ensure analysis accuracy |
TEXT_UNDERSTAND_MODEL | Industry fine-tuned model adapted for version 4.9.0 | General models struggle to recognize specific fields such as grid-connected capacity and transmission line length |
The parameter values provided on this page are all conventional recommendations used as 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 conduct tests on self-supplied samples before finalizing settings.
Three Common Errors
- After an upgrade, conversation records disappear when the front-end conversation window is refreshed, while complete records are visible in the backend database. The cause is that cache configurations for front-end session storage were not synchronized during the upgrade, preventing retrieval of rendering data for corresponding sessions by the front end.
- A
413 Request Entity Too Largeerror occurs during bulk import of financial report data. The cause is that theUPLOAD_FILE_MAX_SIZEparameter was not adjusted, exceeding the default file upload limit. - After configuring a text understanding model, industry-specific fields are identified as empty when parsing financial reports. The cause is that no dedicated prompt template for power grid equipment was specified, so the model cannot match the semantic features of the corresponding fields.
How to Confirm Proper Configuration
- A power grid equipment annual financial report PDF is uploaded. Parsed text segments are checked for specific fields including grid-connected capacity and transmission line length. Parsing duration is verified against the preset threshold of
PARSE_FILE_TIMEOUT_SECONDS. - A scheduled data synchronization task is triggered. Synchronization records matching the
SCHEDULE_SYNC_INTERVALconfiguration are checked for presence, and timeout errors are confirmed to be absent. - A query based on financial report data is initiated. Returned results are checked for accurately associated content for corresponding industry fields, and the number of recalled entries is confirmed to match the
VECTOR_RECALL_TOP_Kconfiguration. - After the version is upgraded, the front-end session page is accessed. The page is refreshed to check that historical conversation records load normally. Consistency is confirmed by comparing with backend database records.
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.