What the data for this category looks like
This daily revenue and market trend data for communication equipment primarily serves financial wealth management scenarios. Its sources include operator operation support systems and base station performance collection terminals. Data is generated in a daily batch process each early morning, covering full data from the previous day.
Each single-device daily report includes unique device identifier, total daily revenue, per-gigabyte revenue, abnormal operation and maintenance duration, core indicator fluctuation range, and other content. The fields are device_serial, daily_total_revenue, per_gigabyte_revenue, anomaly_duration_hours.
daily_total_revenueuses Chinese Yuan as the unitper_gigabyte_revenueuses Yuan per GB as the unitanomaly_duration_hoursuses hours as the unit
The size of each batch summary document grows with the number of connected devices. A single batch import can typically reach hundreds of MB in volume.
What constraints do these characteristics impose on deployment and upgrade?
The requirement for multi-source data access means timeout and retry rules for multi-interface docking must be configured during deployment, to avoid data import interruptions caused by delayed responses from third-party systems. The fixed daily batch update requirement means scheduled tasks must be configured to match the data generation rhythm during deployment, to prevent preemption of system resources by batch tasks from other systems. The customized field characteristics mean compatibility with newly added operation and maintenance indicator fields is required during the upgrade phase, to avoid failure of existing parsing rules. The large data volume characteristic means appropriate vector database storage and sharding strategies must be configured during deployment, to ensure concurrent performance of retrieval and write operations.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
schedule_cron | 0 2 0 * * ? | Daily communication equipment reports are typically completed before midnight, triggering two minutes later avoids reading data sources that have not been fully generated |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single batch summary document contains hundreds of device data entries, which takes a long time to parse; this avoids interrupting the import process due to timeout |
UPLOAD_FILE_MAX_SIZE | 2000 MB | The full daily device revenue data for batch import has a large volume, this setting adapts to the needs of multi-batch imports |
field_mapping_rule | Calibrated based on actual testing | Field naming conventions for device daily reports vary across different operators, mapping must be completed to match the field identifiers of the local system |
vector_db_shard_count | 8 shards | The total data volume of communication equipment is large, sharded storage improves concurrent performance of retrieval and write operations |
similarity_threshold | 0.75 | Filters low-correlation device revenue data, improving the matching accuracy of retrieval results |
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 case-by-case analysis, and it is recommended to test on local samples before finalizing settings.
Three common mistakes
- Symptom: The document parsing interface returns
Cannot read properties of undefined (reading 'daily_total_revenue'). Cause: Thefield_mapping_ruleis not configured, so the system cannot identify the revenue field in the device daily report document, and attempts to read an undefined field value. - Symptom: After upgrading to version 4.9.0, the existing share link authentication configuration no longer takes effect. Cause: The version change documentation was not reviewed. This version adjusted the parameter configuration logic for share authentication, and the existing configuration was not updated synchronously.
- Symptom: After batch importing device daily report data, the number of valid results returned by retrieval is much lower than expected. Cause: The
similarity_thresholdvalue was not adjusted. An overly high threshold filters out a large number of qualifying device revenue data entries.
How to confirm the configuration is correct
- Manually trigger the configured scheduled task once, check the system logs for errors related to field reading failures or parsing timeouts.
- Import a test device daily report document, verify that the fields extracted in the knowledge base match the expected business identifiers.
- Initiate a retrieval request for specific device revenue, check that the number of returned results conforms to the configured recall rules.
- Log in to the vector database management interface, confirm that the number of stored shards matches the configured
vector_db_shard_countvalue.
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.