HTTP Interfaces and External Systems for Water Treatment Financing Daily Reports

Water treatment financing daily report data is sourced from project announcements released by ecological environment departments, public financing

What data in this category looks like

Water treatment financing daily report data is sourced from project announcements released by ecological environment departments, public financing announcements from water utility operators, and winning bid information from local public resource trading platforms. Updates occur daily, covering new water treatment financing projects from the previous calendar day. The data uses structured JSON or CSV format, and includes fields such as project name, water treatment scale (unit: cubic meters per day), total financing amount (unit: ten thousand yuan), financing subject, project location, core pollutant removal types (e.g., COD, ammonia nitrogen, total phosphorus), and signing date. Each entry corresponds to a single financing project, with no nested sub-items.

The daily update requirement means the interface must support scheduled pull tasks. Pull frequency must match the data source's update rhythm to avoid duplicate pulls or data lag. Water treatment project fields include environment-specific parameters such as pollutant removal type and treatment scale. The interface must support filtering by these fields to accurately retrieve target data. Financing amount and treatment scale have clear units. Values returned by the interface must use unified unit formats to prevent data parsing errors in external systems. Most data sources are government public platforms. Some interfaces require access tokens, and permissions are bound to specific data categories. Authentication parameters must be configured strictly.

How to set configurations

Configuration ItemRecommended ValueRationale
FETCH_INTERVAL86400 secondsMatches the daily update rhythm of water treatment financing daily reports, avoids duplicate pulls or data lag
DATA_SOURCE_TYPE["environmental_bureau", "public_resource_trade"]Covers the main public sources of water treatment financing data, improves data completeness
UNITS_CONVERSION_RULEstandardize_to_ten_thousand_yuan, standardize_to_cubic_meter_per_dayUnifies unit formats for financing amount and treatment scale, adapts to external system parsing rules
FILTER_FIELDS["project_location", "pollutant_type"]Supports filtering target data by region and pollutant type, matches the segmented needs of water treatment businesses
REQUEST_TIMEOUT300 secondsReserves sufficient time for multi-source data pulling and parsing, prevents request failures due to network fluctuations
MAX_RETRY_TIMES3 timesAddresses temporary fluctuations in government platform interfaces, improves the success rate of data pulling

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules, so specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three common errors

  • Phenomenon: The pollutant_type field returned by the interface is empty. Cause: The mandatory pull rule for this field was not configured in FILTER_FIELDS, causing the data source to filter out the corresponding parameter.
  • Phenomenon: The request returns a 403 Forbidden status code, and the log shows the token is the fixed string fastgpt. Cause: The permission scope of the access token was not configured correctly, only general interface permissions were bound, and access permissions for water treatment financing data were not granted.
  • Phenomenon: The update time of pulled data lags by more than 24 hours. Cause: FETCH_INTERVAL is set to 172800 seconds, which does not match the daily update rhythm of the data source, resulting in delayed data synchronization.

How to confirm the configuration is complete

  • Manually trigger a data pull task, check the JSON structure returned by the interface, confirm that preset fields such as project_name, financing_amount, publish_date are included.
  • Check the system log, confirm that the most recent pull task returns a 200 OK status code, with no parameter parsing error prompts.
  • Compare the daily announcement information from the local ecological environment bureau, confirm that the number of pulled projects matches the publicly disclosed quantity.
  • Adjust FILTER_FIELDS to a specific region, verify whether the interface can accurately return water treatment financing data for the corresponding area.

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.