What the data for this category looks like
Data is sourced from internal operation and maintenance systems of telecommunications operators, third-party communication quality monitoring APIs, and industry compliance filing documents. Core operation and maintenance data updates daily. Compliance filing documents update quarterly. Bidding-related data updates monthly. Documents include structured tables and attached logs. Fields cover link ID, access node, bandwidth threshold, fault record number, and service response time. Corresponding units are none, count, Mbps, none, and seconds respectively.
What constraints these characteristics impose on deployment and upgrade
Multi-source heterogeneous daily updated data requires configuring an incremental synchronization mechanism during deployment. This avoids excessive server resource usage caused by full synchronization. Documents contain large-volume log attachments and structured tables. Adjust relevant parameters for file upload and parsing to prevent parsing timeouts or file interception. Quarterly updated compliance filing documents require retaining version association logic for historical data during upgrades. This prevents existing due diligence reports from becoming invalid after data updates. Additionally, telecommunications service data has diverse field types. Adapt to authentication rules for multi-source data during deployment to ensure data from different interfaces can be pulled normally.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Large-volume operation and maintenance log attachments are common in telecommunications service due diligence reports |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Parsing large-volume log files takes a long time |
SYNC_INTERVAL_MINUTES | 1440 minutes | Matches the daily update cadence of core operation and maintenance data |
embedding_batch_size | 16 | Telecommunications service data has many fields; batch processing prevents memory overflow |
max_context_length | 8000 characters | Total text length of structured tables and logs is relatively long |
multi_source_api_auth | Dynamic authentication based on interface keys | Adapts to authentication rules for different data sources such as operators and third-party monitoring tools |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and testing on internal samples is recommended before finalizing settings.
Three Common Mistakes
- Phenomenon: After adding a locally deployed telecommunications service data parsing model, parsing is not triggered. Cause: Authentication parameters corresponding to
multi_source_api_authare not configured, resulting in failure to pull raw data from operator interfaces. - Phenomenon: Duplicate or missing due diligence report data appears after multi-node deployment. Cause: Distributed lock for incremental synchronization is not configured, causing multiple nodes to trigger full synchronization tasks simultaneously.
- Phenomenon: First- and second-level headings are missing from the Markdown format of due diligence reports. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set too short, terminating the parsing task before the structured table's header row is parsed.
How to Confirm the Configuration Is Complete
- Trigger a manual incremental synchronization task, verify that the number of updated entries in the synchronization record matches the daily update entries of the data source, and adjust the synchronization interval parameter as needed.
- Upload a due diligence report containing standard operation and maintenance logs, check that the parsing task has no timeout errors, and adjust file upload and parsing threshold parameters as needed.
- Check the shared storage mount status for multi-node deployments, confirm that all nodes can read the synchronized dataset.
- Call the test interface of the local model, confirm that the authentication parameters are configured correctly, and that the model can process telecommunications service data 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.