HTTP Interfaces and External Systems for Chemical Raw Material Financial Report Analysis

Financial report data for the chemical raw material category comes primarily from public annual and quarterly reports of listed companies on

What this category's data looks like

Financial report data for the chemical raw material category comes primarily from public annual and quarterly reports of listed companies on exchanges, plus monthly capacity monitoring data released by industry associations. Data updates follow two cadences: fixed and event-triggered. Fixed cadences are quarterly and annual. Event-triggered data includes capacity adjustment announcements, raw material price fluctuation announcements, and similar updates. Each financial report document includes fields such as total enterprise revenue, revenue by category, production capacity, output, inventory levels, energy consumption per unit product, and gross margin. Most capacity units are ten thousand tons per year, revenue units are ten thousand yuan, and inventory units are ten thousand tons. Some subcategories also include exclusive fields such as individual unit operation parameters.

What constraints do these characteristics impose on HTTP interfaces and external systems?

The multi-category detailed fields and event-triggered data features of chemical raw material financial reports require HTTP interfaces to support filtering queries by category code, enabling precise synchronization of single-category data. Fixed-cycle quarterly and annual financial report data volumes are large. Batch synchronization interfaces must support importing over ten thousand entries in a single request, while ensuring request response times align with the data volume. The real-time requirements of temporary announcements require interfaces to support webhook push-triggered synchronization to meet real-time synchronization needs for temporary data. Additionally, different data sources have inconsistent units. Interfaces must support unit conversion configuration to avoid data import errors caused by unit mismatches.

How to set configurations

Configuration ItemRecommended ValueRationale
API_REQUEST_TIMEOUT300 secondsChemical raw material financial reports include multi-category detailed fields, single request data volume is large, so sufficient response time must be reserved
BATCH_SYNC_INTERVAL86400 secondsQuarterly and annual financial reports are synchronized on a fixed cycle; daily batch synchronization covers full data updates
FIELD_MAPPING_RULEMap according to "financial report standard classification → system custom fields"Chemical raw material financial reports include exclusive fields such as production capacity and unit energy consumption, which must be aligned with system fields to complete data import
UNITS_CONVERSION_ENABLEEnabledDifferent data sources have unit differences such as tons/kilograms and ten thousand yuan/yuan, so unified conversion is required to ensure data consistency
DATA_IDEMPOTENCY_KEYreport_id + product_codeAvoid duplicate generation of data entries for the same category and report during batch import, ensuring data uniqueness
TEMPORAL_DATA_WEBHOOKConfigure enterprise announcement push addressMatch the real-time synchronization requirements of temporary announcements, enabling active push synchronization of temporary data

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. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.

Three common configuration errors

  • Scenario: After calling the batch data addition interface, the returned result does not contain the data_id field, making it impossible to map with the local system. Cause: The DATA_IDEMPOTENCY_KEY parameter is not configured correctly, or the ID return switch for the batch interface is not enabled.
  • Scenario: Calling the single data addition interface returns a 400 Bad Request status code, with the prompt "Missing required fields". Cause: Exclusive fields of chemical raw material financial reports, such as product_capacity or unit_energy_consumption, are not mapped.
  • Scenario: Data synchronization timeout occurs after connecting to an external system, with the ETIMEDOUT error shown in the logs. Cause: The API_REQUEST_TIMEOUT parameter is not adjusted to a value suitable for the data volume of chemical raw material financial reports, resulting in request timeout without completion.

How to Confirm the Configuration Is Correct

  • Call the batch addition interface, check if the returned result contains the data_id field to verify that the ID return configuration is active.
  • Review connectivity logs between the external system and FastGPT to confirm no timeout errors appear, verifying that the request duration configuration is reasonable.
  • Manually trigger a single data addition, check if the system can correctly identify and map the exclusive fields of chemical raw material financial reports, verifying that the field mapping configuration is active.
  • Push a test temporary announcement data set to the configured webhook address to verify that the temporary data synchronization process starts normally.

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.