What the data for this category looks like
Data for water utility intelligent due diligence reports comes primarily from distributed pipe network monitoring nodes, water plant central control SCADA systems, municipal water utility supervision platforms, and third-party water quality testing institutions. Real-time operational data such as pipe network pressure and water supply flow updates every 1 minute. Monthly operational reports are updated at the start of each month. Annual compliance inspection reports are updated at the end of the first quarter of each year.
Data documents include basic archives (water plant location, designed treatment capacity), operational parameters (average daily water supply, water loss), water quality indicators (turbidity, COD concentration), operation and maintenance records, and compliance judgment results. Water supply volume is measured in cubic meters per day. Water quality indicators are measured in milligrams per liter. Turbidity is measured in NTU. Pressure is measured in kilopascals.
What constraints these characteristics impose on HTTP interfaces and external system integration
The high-frequency real-time updates, multi-dimensional fields, and compliance requirements of water utility data create multiple constraints for HTTP interface and external system integration.
First, real-time data such as pipe network pressure and water supply flow updates every 1 minute. Interfaces must support high-frequency calls and control response latency within a reasonable range to avoid data lag affecting due diligence analysis.
Second, data fields include indicators with multiple professional units. Interfaces must support parameters for pulling specified fields to reduce redundant data transmission.
Third, water utility data involves municipal operation compliance. Interfaces must integrate strict identity authentication mechanisms and retain complete call logs for auditing.
Monthly and annual batch report data requires interfaces to support pagination pulling or batch requests. This reduces the data volume of a single call and adapts to the current limiting rules of water utility interfaces.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
API_REQUEST_TIMEOUT | 300 seconds | Covers the typical response duration of water utility real-time data interfaces, while adapting to the longer response cycles of batch report interfaces |
API_RETRY_TIMES | 3 times | Addresses temporary network fluctuations of water utility monitoring nodes, reducing the probability of single-call failure |
REQUEST_FIELD_FILTER | Specify target fields as needed | Reduces redundant data transmission and lowers interface bandwidth usage |
AUTH_TYPE | API_KEY authentication | Meets the basic authentication requirements of most third-party water utility APIs, balancing security and configuration convenience |
BATCH_REQUEST_SIZE | 100 items per request | Balances the data volume of a single request and call frequency, avoiding exceeding the current limiting threshold of water utility interfaces |
SSL_VERIFY_ENABLE | Enabled | Ensures encrypted transmission of sensitive water utility data; only disable this in internal testing scenarios |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by data format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- When calling the water utility API, the error
SSL certificate problem: unable to get local issuer certificateis returned. This occurs because SSL certificate verification is not enabled, or the self-signed certificate used by the water utility API has not been added to the trust list in FastGPT configuration. - When executing the FastGPT upgrade script, the prompt
command not foundis displayed. This occurs because the script is not executed in the bash environment within the container, or the script execution permission is not granted viachmod +x. - When pulling water utility monthly reports in batch, the number of returned results is insufficient. This occurs because the
BATCH_REQUEST_SIZEparameter is not set correctly, and the data volume pulled in a single request exceeds the current limiting threshold of the water utility interface.
How to confirm the configuration is complete
- Initiate a single real-time data request on the FastGPT interface debugging page, and verify that the returned fields match the official documentation definitions of the water utility API.
- Check the FastGPT interface call logs to confirm that the request header carries the correct authentication parameters and that the response status code is
200 OK. - Initiate a batch pull request, and verify that the number of returned data items matches the configured
BATCH_REQUEST_SIZEparameter. - Simulate a temporary network interruption, confirm that the interface automatic retry mechanism takes effect, and no unrecorded call failures occur.
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.