What the data for this category looks like
Data sources for software development intelligent due diligence reports include project code repositories, outputs from third-party code scanning tools, requirement documents, test reports, operation and maintenance logs, and compliance check files. The data update rhythm adjusts with project iterations, and is triggered after each version release or major change. The document structure includes a basic project information module, code quality analysis report, third-party dependency component list, security vulnerability details, historical change records, and compliance judgment results. Fields include lines of code (unit: lines), dependency package version numbers, vulnerability CVE IDs, change counts (unit: times). Some fields are string types, and some have clear units of measurement.
What constraints these characteristics impose during deployment and upgrade
The multi-data source characteristics of software development intelligent due diligence reports require configuring multiple types of permissions and docking parameters during the deployment phase to avoid invalid data access. The data update frequency fluctuates with project iterations, and the upgrade phase must ensure that synchronization tasks are not interrupted to prevent due diligence data loss. The complex document structure and diverse field types require matching the vector database’s index dimensions and field parsing rules during deployment to ensure normal subsequent retrieval and analysis. The version information of the dependency component list is updated frequently, and the upgrade phase must be compatible with the old data format to avoid parsing exceptions.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Software development due diligence reports include long texts such as code scanning logs and dependency lists. 600 seconds covers the parsing needs of most large-scale projects |
UPLOAD_FILE_MAX_SIZE | 1500 MB | Due diligence reports for large software development projects include complete logs and scanning results. 1500 MB fits most scenarios |
AUTO_SYNC_CRON | 0 */6 * * * | The iteration cycle of software development projects is mostly weekly or daily. Synchronizing every 6 hours balances data timeliness and resource usage |
VECTOR_INDEX_DIM | 1536 | Text embedding models related to software development usually use 1536-dimensional vectors, which matches field storage requirements |
DATA_SOURCE_WHITELIST | ["git", "sonarqube", "jira"] | Restrict legal data sources for software development due diligence to avoid access to irrelevant data |
MAX_CONTEXT_LENGTH | 8000 characters | Long text fragments of due diligence reports need to adapt to the model context window. 8000 characters covers most core analysis content |
The parameter values provided on this page are 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, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Issue: Unable to access the service via the specified IP after deployment. The log shows the
EADDRINUSEerror. Cause: TheHOSTparameter was not configured correctly. The default binding of0.0.0.0causes port permission conflicts. - Issue: After upgrading from version 4.9.10 to 4.9.13, existing due diligence report parsing fails. Cause: The upgrade script for version 4.9.11 was not executed. This version includes database structure changes, and failure to synchronize will cause data reading exceptions.
- Issue: Voice input function reports an error, prompting that the ffmpeg executable file cannot be found. Cause: The host ffmpeg directory was not mounted during container deployment, and dependencies cannot be installed with root permissions inside the container.
How to confirm the configuration is complete
- Perform a data source connectivity test to verify whether services in the configured
DATA_SOURCE_WHITELISTcan normally pull data. - Upload a small software development due diligence report and check whether the parsing time meets the threshold set by
PARSE_FILE_TIMEOUT_SECONDS. - View the vector database index log to confirm that the embedding dimension matches the configured
VECTOR_INDEX_DIMparameter. - Trigger an automatic synchronization task and check whether the update time of the due diligence report matches the cycle set by
AUTO_SYNC_CRON.
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.