What the Data for This Category Looks Like
Data for water industry research reports comes from public reports released by water industry associations, annual and semi-annual financial reports of listed water enterprises, industry updates and water quality monitoring data issued by water regulatory authorities, and in-depth analysis documents from professional water consulting institutions.
Update cadence falls into two categories: regular and real-time. Quarterly updates cover industry operation data reports. Annual updates cover in-depth industry analysis reports. Supplementary documents are released in real time for events such as sudden water quality adjustments and pipeline network renovations.
Document structures usually include modules such as project overview, water quality monitoring indicators, operating cost details, pipeline network parameters, and policy compliance requirements. Fields include water quality indicators such as COD, ammonia nitrogen, and total phosphorus. Units are mostly mg/L and μg/L. Pipeline network length is measured in kilometers. Population covered by water supply is measured in ten thousands of people. Some research reports also include numeric fields such as project investment amount and operation and maintenance cycle.
Constraints for HTTP Interfaces and External Systems
Water industry research reports contain a large volume of professional water quality and operation data with clear units. HTTP interfaces must include unit information in returned fields. External systems must map units to their own business systems to avoid misuse of data.
Research report updates follow both regular and real-time cadences. Interfaces must support incremental data pulling via timestamps. This avoids pulling full datasets repeatedly and reduces transmission costs.
Documents include segmented content across multiple modules. Interfaces must support filtering returned fields by module. This reduces the volume of invalid data transmitted.
Some research reports include embedded water quality monitoring charts and project site images. Interfaces must retain the full original path of image links. External systems must correctly parse and load these links.
Additionally, water industry research reports use many specialized terms. Interface returned content must retain original wording. Do not automatically truncate or simplify content. Configure interfaces to return full original text.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
responseExtractMode | Use "Extract by JSON Path" mode for versions v4.8.12 and later | Adapts to the HTTP return value extraction logic change in the v4.8.12-beta version based on community feedback. Prevents old extraction rules from failing to correctly identify nested fields |
requestDynamicParams | Bind input parameters using the {{variable name}} syntax, such as {{water_project_id}} | Supports initiating requests with variable parameters such as water project ID and monitoring time range. Adapts to retrieval needs for different segmented research reports |
charset | UTF-8 | Adapts to Chinese professional terms and data in water industry research reports. Prevents garbled text issues |
timeout | 300 seconds | Water industry research reports have large data volumes and include detailed content across multiple modules. Reserves sufficient request duration to avoid timeout interruptions |
returnFields | Specify a list of fields to return, such as ["project_name","cod_value","unit"] | Reduces invalid data transmission. Adapts to the multi-field characteristic of water industry research reports. Improves interface call efficiency |
retryOnFailure | Retry 2 times when status code ≥500 | Addresses temporary failures that may occur in water data interfaces due to server load fluctuations. Improves call stability |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: When
responseExtractModeis set to the old extraction mode, embedded image links in research reports fail to load properly or appear empty. Cause: The v4.8.12-beta and later versions changed the HTTP return value extraction logic. The old mode cannot correctly identify nested image URL fields. - Symptom: When using a database plugin to store water industry research report data, Chinese professional terms and numeric data appear as garbled text. Cause: The HTTP request
charsetconfiguration was not set toUTF-8. This causes failure in Chinese encoding parsing. - Symptom: FastGPT calls the water industry research report interface and returns a timeout error, but Postman calls can successfully retrieve results. Cause: The
timeoutconfiguration was not adjusted based on the volume of water industry research report data. The default timeout duration is insufficient to pull full research report datasets.
How to Confirm Proper Configuration
- Initiate a single test request. Check if returned fields include preset water industry professional indicators and their corresponding units. Confirm that the
returnFieldsconfiguration is active. - View FastGPT request logs. Confirm that dynamic input parameters have been correctly replaced with actual water project IDs or monitoring time ranges. Verify that the
requestDynamicParamsconfiguration works correctly. - Trigger a request, then check if returned embedded image links can be accessed normally. Confirm that
responseExtractModematches the extraction logic of your current version. - View stored research report content in the database. Confirm that Chinese terms and data do not appear garbled. Verify that the
charsetconfiguration is correct.
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.