What the data for this category looks like
The data sources for software development revenue rate daily reports include commit records from code hosting platforms, running logs from continuous integration pipelines, performance monitoring metrics from online services, input data from project labor hour management systems, and revenue statistics from associated businesses. Two update rhythms are used: full daily reports generated at fixed daily times, and real-time monitoring sub-items refreshed hourly. Documentation uses a structured table format, with fields including project identifier, code change lines, average CI/CD duration, online defect repair duration, R&D labor hours, and associated business revenue proportion. Field units include lines, minutes, hours, man-days, currency units, and others.
Constraints during deployment and upgrade
Connecting multiple data sources requires configuring unified authentication and current limiting rules during deployment. This prevents individual data source failures from affecting overall daily report generation. The mixed update rhythm of scheduled and real-time tasks requires upgrading to support dual-mode collection logic. This avoids interrupting existing daily report services. Structured fields and multiple units require preset field mapping and unit conversion rules. Without these, daily report data format will become chaotic. Financial scenarios require configuring data desensitization rules to avoid sensitive information leaks. Log data has large volume differences. Reasonable parsing thresholds must be configured during deployment to prevent resource exhaustion.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SOURCE_WHITELIST | ["github", "gitlab", "jenkins", "prometheus"] | Matches mainstream collection sources for software development revenue data, prevents invalid data source access |
DAILY_REPORT_UPDATE_INTERVAL | 86400 seconds | Matches the update rhythm of generating daily reports at fixed daily times, aligns with industry standard daily report cycles |
FIELD_MAPPING_RULES | Match by field name and convert units | Resolves the issue of mixed units in software development data fields, unifies output formats |
UPGRADE_DATA_BACKUP_PATH | /data/fastgpt/backup/report_data | Specifies backup path for private deployments, prevents loss of daily report historical data during upgrades |
API_AUTH_TIMEOUT | 30 seconds | Adapts to timeout thresholds for multi-data source authentication, prevents overall collection failure due to delays from individual sources |
PARSE_LOG_MAX_SIZE | 1000 MB | Limits the parsing volume of single pipeline logs, prevents memory overflow |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: A
401 Unauthorizederror is returned when calling the data source API after deployment. Cause: The authentication key for the corresponding data source is not configured inDATA_SOURCE_WHITELIST, or the key configuration format is incorrect. - Symptom: Daily report data is missing after a local private upgrade to version 4.94. Cause: The
FIELD_MAPPING_RULESconfiguration was not backed up in advance. The default mapping rules of the new version are inconsistent with the old version, leading to abnormal field parsing. - Symptom: The third-party model key cannot be used to call the model to generate daily reports. Cause: The model service address is not added to
MODEL_SERVICE_WHITELIST, or the domain name bound to the key does not match the deployment environment.
How to Confirm Configurations Are Correct
- Run the local data source collection script, check if the console returns normal structured data with no error logs.
- Manually trigger the daily report generation task, verify that the generated daily report fields match the preset
FIELD_MAPPING_RULES. - View the upgraded configuration file, confirm that the
UPGRADE_DATA_BACKUP_PATHpath exists and has read and write permissions. - Call the model service interface, verify that the key configuration can normally return model responses.
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.