What the data for this category looks like
Data for gas industry research reports mainly comes from industry statistics released by the China Urban Gas Association, national energy regulatory agencies, and special research content from securities firm public utility research teams. There are three update cycles:
- Monthly supply, demand and price data receives daily incremental updates
- Quarterly industry operation reports are released at the end of each quarter
- Special research reports are generated immediately after major policy adjustments, such as natural gas pricing reforms or pipeline interconnection policies
The structure of a single research report includes modules such as industry overview, production and import data, urban gas user scale, LNG CIF price trends, policy analysis and key company dynamics. Core fields include:
- Monthly natural gas production (10,000 cubic meters)
- Urban gas user count (10,000 households)
- LNG import CIF price (USD/ton)
Some segmented research reports also include professional data such as gas pipeline operation mileage (kilometers).
Constraints Imposed on HTTP Interfaces and External Systems
Multi-source data sources require HTTP interfaces to support multiple data source access configurations, preventing data gaps caused by reliance on a single source. Content with different update frequencies requires the interface to adapt to differentiated scheduled pull intervals. For example, monthly data can be configured for daily incremental pulls, while special policy research reports require immediate pull triggers.
Long single reports with numerous structured tables increase interface parsing and transmission load. A single retrieval recall upper limit must be set to avoid interface timeouts. Fields with multiple professional unit formats require external systems to complete unified unit mapping when receiving interface return data. Without this, downstream businesses cannot correctly identify data meanings.
Additionally, policy-related content in the gas industry has strong timeliness. The interface cache duration must be set below the threshold for standard documents, to ensure timely synchronization of the latest policy information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 10-15 | Single gas industry research reports are lengthy. Too many recall results increase HTTP interface transmission and parsing load, while too few fail to cover core industry information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Gas industry research reports contain numerous structured tables and long text passages, with longer parsing time than general document types |
maxContext | 8000-12000 characters | Core data paragraphs in gas industry research reports are lengthy, requiring sufficient context length to ensure accuracy of retrieval results |
Similarity Threshold | 0.75-0.85 | Gas industry data is highly professional, so a high matching threshold must be set to avoid irrelevant non-industry content being included in retrieval results |
HTTP_REQUEST_TIMEOUT | 60 seconds | Some industry data source interfaces may have long response times due to delayed data aggregation processing |
Field Mapping Rules | Uniformly convert using original field name + unit | Gas industry research reports include multiple professional units such as 10,000 cubic meters, USD/ton, and kilometers. Unified mapping avoids parsing confusion in external systems |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After calling the HTTP interface with custom context, the AI conversation does not use the passed content and still splices system historical context. Cause: The
enable_custom_contextparameter is not configured correctly, or the passed context format does not meet interface requirements. - Symptom: Retrieved gas industry data fields have inconsistent units, making uniform processing impossible for external systems. Cause: The
field mapping rulesare not configured, and multiple professional units in the original research reports are not converted uniformly. - Symptom: The HTTP interface call returns a
413 Request Entity Too Largeerror. Cause: TheUPLOAD_FILE_MAX_SIZEparameter is not adjusted, and the file size of a single gas industry research report exceeds the default interface limit.
How to Verify Successful Configuration
- Send a simulated HTTP request with standard gas industry research report data, check if the retrieval results returned by the interface include preset professional fields and their corresponding units.
- View the knowledge base parsing logs to confirm that the parsing time of a single gas industry research report does not exceed the configured
PARSE_FILE_TIMEOUT_SECONDSthreshold. - Call the AI conversation interface with the custom context parameter, check if the conversation reply references the passed context content.
- Send multiple concurrent simulated requests, check that all interface response status codes are
200, with no timeouts or abnormal errors.
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.