What this type of data looks like
Power grid enterprise policy and regulatory basis data mainly comes from official documents released by the National Energy Administration, provincial energy regulatory agencies, and internal power grid group systems. Data is synced immediately when new policies are released. Routine revisions are updated quarterly. Each document includes fields such as document number, issuing authority, effective date, applicable scope, and specific clauses. Most document numbers follow the format "National Energy Administration Power [202X] No. XX". Clauses are structured as "Article X" or "Clause X". Individual document lengths range from hundreds to tens of thousands of characters.
What constraints do these characteristics impose on HTTP interfaces and external systems
Structured fields including document numbers and effective dates require HTTP interfaces to support filtering and retrieving content by specified parameters. Without this, precise user policy query requirements cannot be met. The feature of long individual document lengths requires interfaces to limit single-request returned content length. This avoids request timeouts caused by excessive data volume. Differences in data update rhythms require interfaces to use reasonable cache periods. This balances policy update timeliness and interface call performance. Additionally, policy data is internal sensitive information. Interface calls must carry valid verification credentials to prevent unauthorized access.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer {Internal API Gateway Key for Power Grid Enterprises} | Power grid enterprise policy data is internal sensitive documentation. Valid credentials are required to verify call permissions, in compliance with internal data access standards. |
variables | {"policy_code": "", "effective_date": ""} | Matches the document number and effective date fields of grid policies, enabling precise retrieval of corresponding clause content. |
responseData | Top 3 policy clauses, each no more than 800 characters | Most individual grid enterprise policy clauses range from 200 to 800 characters. Limiting return length avoids interface timeouts while ensuring complete query content. |
| Single request timeout | 600 seconds | Grid enterprise policy documents have long lengths. Full retrieval requires longer processing time, avoiding request interruption due to timeout. |
| Cache update cycle | 30 days | Routine revisions of grid policies are updated quarterly. A 30-day cache cycle balances timeliness and interface performance. |
Three common configuration mistakes
- Empty results are returned after calling the interface, with no matching policy clauses found. Cause: Correct policy document number or effective date parameters were not passed in
variables, leading to retrieval scope exceeding the target policy range. - Interface calls return a 401 Unauthorized error. Cause: The
Authorizationparameter was not configured correctly, using an invalid key or omitting the Bearer prefix. - Interface requests time out. Cause: No reasonable timeout period was set, or returned policy clauses exceeded 800 characters, exceeding the interface processing limit.
How to confirm correct configuration
- Pass a test grid enterprise policy document number when calling the interface, check if the returned results include the corresponding clause content.
- View the
responseDatafield of the interface return, confirm that the returned clause length does not exceed the set 800 characters. - Check the format of the
Authorizationparameter, confirm that the correct Bearer prefix and key are included. - Simulate query requests with different effective dates, confirm that retrieved policy clauses match the specified date.
The values provided are common starting points and should be measured 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.