What the Data for This Category Looks Like
Data for this category comes from four main sources: oil and gas extraction enterprise production management system APIs, commodity trading platform market APIs, compliance and regulatory public document APIs, and marketing material management system metadata APIs. Update frequencies vary by data type: production data is updated hourly, market data minute-by-minute, compliance documents quarterly, and material metadata daily. Each data entry uses a JSON structure, and includes fields such as the unique identifier api_request_id, daily production volume production_volume (unit: cubic meters), real-time oil price trading_price (unit: USD per barrel), compliance clause number compliance_code, material impression count impression_count (unit: times), and a timestamp field marking the data collection time.
Constraints Imposed on HTTP Interfaces and External Systems
The hourly update frequency of production data and minute-by-minute update frequency of market data require HTTP interfaces to adapt to different call frequencies. Market interfaces must be configured with short timeouts to obtain the latest data, while production interfaces can support moderate retry mechanisms. Differences in field units across multiple data sources—such as USD per barrel for oil prices and cubic meters for production volume—require unit conversion before interface calls are initiated. Static properties of compliance documents are suitable for caching rules to reduce the cost of repeated calls. Marketing content generation requires simultaneous calls to multiple types of interfaces, so concurrent request rate limiting must be configured to avoid exceeding external system call quotas. Additionally, differences in return structures across different interfaces require unified mapping to formats recognizable by the platform.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
HTTP_REQUEST_TIMEOUT | Market interfaces: 10 seconds, production interfaces: 30 seconds | Matches real-time requirements of different data sources, avoids timeouts impacting marketing content generation efficiency |
CACHE_EXPIRE_TIME | Market interfaces: 5 minutes, production interfaces: 1 hour, compliance documents: 7 days | Corresponds to update frequencies of each data type, reduces repeated call costs |
PARALLEL_REQUEST_LIMIT | First 3 requests | Controls concurrent request volume to avoid exceeding external system rate limiting thresholds |
FIELD_MAPPING_RULE | Configured in the external_field → platform_field format | Unifies field structures of heterogeneous multi-source data, adapts to platform data processing logic |
RETRY_TIMES | 2 times | Addresses temporary network fluctuations, avoids excessive retries increasing external system pressure |
UPSTREAM_API_AUTH_TYPE | API_KEY authentication or OAuth2.0 | Matches authentication requirements of external systems, ensures legitimacy of interface calls |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing values.
Three Common Misconfigurations
- Phenomenon: The interface return result includes both external HTTP interface data and AI-generated question-and-answer text, with duplicate output records in logs. Cause: Response mode parameters are not correctly configured, and the setting to return only external interface results is not enabled, so the AI generation process remains active.
- Phenomenon: HTTP interface calls return a
429 Too Many Requestserror, and calls fail. Cause: Concurrent request limit parameters are not set, and the number of simultaneous requests exceeds the rate limiting threshold of the external system. - Phenomenon: Oil price or production volume units displayed in marketing content do not match expectations, and data logic is abnormal. Cause: Unit conversion items in the field mapping rules are not configured, and units from different data sources are not unified for processing.
How to Verify Correct Configuration
- Initiate a single HTTP interface call, check if the return result includes only external interface data with no additional AI-generated content, to confirm the response mode configuration is effective.
- Simulate initiating more than 3 concurrent interface calls, observe if rate limiting errors are triggered, to confirm the concurrent request limit configuration is reasonable.
- Extract fields returned by external interfaces, compare against the configured field mapping rules, and check if field names and units have been uniformly converted.
- Wait for the cache to expire, then call the interface again, confirm the returned data is the latest collected content, to verify the cache expiration time configuration 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.