What the data for this category looks like
Gas industry investment research data sources include public operation ledgers of gas enterprises, upstream gas source purchase and sales contracts, regional gas consumption monitoring data, and industry regulatory documents. Update cycles cover real-time pipeline network operation data, daily gas source prices, quarterly operating reports, and annual industry policies. Document structures include structured operation parameter tables, semi-structured policy interpretation documents, and unstructured in-depth research reports. Fields include gas supply area, gas supply unit price, average daily gas supply volume, pipeline network operating pressure, with corresponding units of square kilometers, yuan/cubic meter, cubic meters, and megapascals.
What constraints these characteristics impose on deployment and upgrade
The multiple update cycles, mixed document types, and structured field features of gas investment research data impose multiple constraints on the deployment and upgrade process. Real-time pipeline network operation data requires high-frequency synchronization. Deployments must separately configure data pull channels to avoid preempting system resources with batch document parsing. For mixed import of multiple document types, layered parsing rules must be configured in advance to distinguish structured operation reports, policy documents, and unstructured research reports, ensuring parsing accuracy. Regional differences in field units and formats require standardized mapping rules to be configured during deployment, unifying data caliber. During upgrades, compatibility must be maintained with previously imported structured data formats, preventing the original knowledge base from failing to read properly after upgrade. Additionally, the demand for multi-department collaborative investment research requires a fine-grained account permission system to be configured during deployment. Gas industry data involves operationally sensitive information, so additional data encryption rules must be configured during deployment to ensure the security of data transmission and storage.
How to set configurations
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Gas industry structured operation reports have a large number of rows, so sufficient parsing time must be reserved to avoid mid-process timeout failures |
Chunk size | 800–1200 characters | Gas research reports contain technical terms and long sentences. This segment length preserves semantic integrity while adapting to retrieval accuracy |
Recall count | Top 10 | Gas investment research data needs to cover multi-dimensional sources. 10 retrieved results balance comprehensiveness and retrieval efficiency |
Similarity threshold | 0.75–0.85 | Gas industry data has high professionalism. A higher threshold is required to filter low-relevance retrieval results and avoid interference from invalid information |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Annual operation ledgers and large research report documents from gas enterprises usually do not exceed this size, meeting conventional import requirements |
DATABASE_MAX_CONCURRENT_TASKS | 5 | Gas investment research data includes real-time synchronization and batch import tasks. Limiting concurrency prevents system resource exhaustion |
The parameter values provided on this page are all common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After deploying with Docker and running the online update command, the service version does not switch to the target version after restart. Cause: The official image of the target version was not pulled first. Restarting the container directly causes the original old image to be used.
- Phenomenon: After pulling the specified version image during the upgrade process, the actual running version is an older version from a non-target branch. Cause: The correct version tag was not specified when pulling the image, resulting in the pulling of a non-target version image file.
- Phenomenon: When configuring DingTalk access, a prompt appears indicating that the receiving message address verification failed. Cause: The deployed service does not have a publicly accessible domain name or port mapping configured, making it impossible for the third-party platform to perform callback verification.
How to confirm the configuration is complete
- Upload a structured operation ledger document from the gas industry, check whether the fields extracted after parsing match the original document content, confirming that the parsing configuration is effective.
- Initiate a retrieval request for the gas investment research topic, check whether the number of returned results matches the preset retrieval rules, confirming that the retrieval configuration meets business requirements.
- Execute the image pull and container restart process for the specified version, check whether the version number displayed on the console after service startup matches the target version, confirming that the upgrade configuration is correct.
- Try logging into the system with two independent accounts, check whether the same knowledge base content can be edited jointly and permissions are synchronized, confirming that the multi-account collaboration configuration is effective.
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.