Policy and Regulatory Basis Q&A for Power Grid Enterprises: Deployment and Upgrade

What this category of data looks like

Power grid enterprise policy and regulatory basis data is primarily sourced from power supervision policies and industry standard documents issued by the National Energy Administration, as well as internal enterprise rule compilations. The data structure includes fields such as policy document number, issuing authority, effective date, clause content, and applicable scenarios. Most documents use chapter-based formatting, with significant variation in single-document length. Data updates follow no fixed cycle, and are synchronized alongside national policy revisions and internal enterprise regulatory adjustments. Core policy documents must be promptly synchronized to the knowledge base following updates.

What constraints these characteristics impose during deployment and upgrade

Policy data includes multi-field metadata and has wide variation in document length. During deployment, this requires configuring a database that supports multi-field indexing to avoid missing fields during retrieval. During upgrades, this requires compatibility with the metadata format of older database versions. This prevents historical policy data from being unable to load normally after the upgrade. The lack of a fixed update cycle requires supporting incremental synchronization during deployment. This removes the need for full data re-import each time. Most internal enterprise policy documents are stored in the enterprise’s own object storage. During upgrades, this requires synchronously updating storage service configuration parameters. This avoids issues where attachments cannot be accessed.

How to set configurations

Reference only; verify against the target FastGPT release and deployment documentation.

| REDIS_URL | redis://:password@host:port/0 | Caches frequently queried policy clauses to reduce database concurrent pressure, and is compatible with daily Q&A traffic of power grid enterprises |

| DB_MAX_LINK | 20–30 connections | Concurrent query demand for power grid policy Q&A is relatively high. A reasonable number of connections can avoid exhausting database resources |

| STORAGE_S3_ENDPOINT | Fill in according to the enterprise’s internal object storage service address | Most policy document attachments are stored in the enterprise’s own storage. A unified storage path must be configured to ensure normal access to attachments |

| ROOT_KEY | A strong random string of no less than 32 characters | Ensures access permission security for the management backend, preventing unauthorized operations from modifying knowledge base configurations |

Three common errors

• Issue: A TypeError: Cannot read properties of undefined error appears after an upgrade, and policy metadata cannot be loaded. Cause: The metadata fields of the older database version were not retained during the upgrade, or the correct authentication source was not specified when configuring MONGODB_URI.
• Issue: Historical policy data cannot be retrieved normally after an upgrade. Cause: The metadata of the older database was not exported and restored before the upgrade, and a new database instance was initialized directly. This results in loss of original policy data.
• Issue: Channel test errors occur when calling the Deepseek model with a locally deployed Ollama instance. Cause: Port mapping for model calls was not configured correctly, or the response timeout setting for the local model was too short. This leads to model call failure.

How to confirm the configuration is complete

• Log in to the FastGPT management backend, enter the associated power grid policy knowledge base, and run a policy document number retrieval test. Confirm that matching policy clauses are returned normally.
• Upload a new policy document, run a synchronization operation, and confirm that the document is correctly parsed. Confirm that metadata fields such as policy document number and effective date are stored properly.
• Check the database connection logs. Confirm that the current number of connections does not exceed the DB_MAX_LINK configuration value, and no connection limit exceeded alerts are present.
• Initiate a policy Q&A test. Confirm that the model returns accurate policy basis results based on the knowledge base content, with no abnormal errors.

The values listed above are common starting points and should be evaluated against the reader’s own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.