What this category of data looks like
Data for policy and regulatory basis Q&A in the survey and design field mainly comes from public specifications, management regulations, and special documents released by the Ministry of Housing and Urban-Rural Development, housing and urban-rural development departments of various provinces and cities, and industry associations. The data update rhythm varies: national-level specifications have relatively fixed revision cycles, local policies are adjusted more frequently based on regional management requirements, and newly issued special project policies are updated in real time. Individual documents mostly follow a chapter-based structure, including fields such as policy document number, issuing authority, effective date, applicable professional field, and full text of core clauses. The scope of application is often marked in units such as square meters and survey depth meters, and some documents include corresponding survey and design subdivision scenario requirements.
What constraints do these characteristics impose on the "HTTP Interfaces and External Systems" link
Decentralized data sources and inconsistent field requirements mean HTTP interfaces must support dynamic mapping configuration for multiple data sources, using variables to adapt to field differences across different issuing entities. Most documents are long-form and have complex structures, so interface responses must support segmented retrieval and field filtering, using responseData to reduce invalid data transmission. Differences in update frequencies mean synchronization tasks connected to external systems must support custom cycles, to meet the needs of monthly synchronization for national-level policies and weekly synchronization for local policies. Additionally, the professional subdivision requirements of survey and design policies mean the interface must support parameter configuration for filtering data by professional field, to avoid returning irrelevant content.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {custom secret key} | Complies with API authentication standards to secure interface calls |
variables | {"policy_source": ["Ministry of Housing and Urban-Rural Development", "provincial housing and urban-rural development departments"], "apply_field": "survey and design"} | Adapts to filtering of multi-source policy data, limits the Q&A scope to the survey and design field |
responseData | Only return policy document number, effective date, core clauses, and scope of application fields | Reduces invalid data transmission, improves interface response speed, and adapts to large model context limits |
| Single search limit | Top 10 entries | The effective information volume of survey and design policy for single-round Q&A is moderate; excessive content will exceed the model context window |
| Chunk length | 800–1200 characters | Most survey and design policy documents are long-form; this range ensures semantic completeness while avoiding overly fine-grained splitting |
| Maximum context | 6000 characters | Matches the default context window of FastGPT v4.17.0, adapts to splicing of multiple policy content segments |
Three common mistakes
- The returned policy content after calling the interface is irrelevant to the survey and design field. This occurs because the professional field filtering rules are not configured via
variables, resulting in the interface returning full public policy data. - After calling the knowledge base interface's create training order interface, the returned result is empty or has no corresponding training progress. This occurs because the training data source is not specified as survey and design policy documents in
variables, so the system cannot identify the training target. - The interface returns a 408 timeout status code. This occurs because a reasonable timeout period is not set, and redundant fields are not filtered via
responseData, resulting in excessive data volume transmitted in a single request.
How to confirm the configuration is correct
- Call the authentication interface. If a 200 status code is returned and a valid token is included, confirm that the
Authorizationconfiguration is correct. - Send a test request asking "What are the policy basis for geotechnical survey?" If the returned result includes specific policy clauses related to the survey and design field, confirm that the
variablesfiltering rules are effective. - Check the
responseDatafield in the interface response. Only the pre-configured core policy fields are included, confirming that the data filtering configuration is correct. - Simulate 10 consecutive interface calls, observe that the response time fluctuates within a reasonable range, confirming that the timeout and chunking configurations are effective.
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.