What the data looks like
Data sources include public procurement announcements from national defense science, technology and industry authorities, official announcements from military industry groups, and compliant third-party public industry datasets. The system updates daily to include financing information disclosed on the same day. Each data entry includes these fields: equipment model, contractor entity, financing round, financing amount, disclosure date, supported military service branch, core technology field. Financing amounts use ten thousand yuan or hundred million yuan units. Date fields follow ISO 8601 standard format.
Constraints for Deployment and Upgrade
Daily updated public data sources require scheduled pull tasks to adapt to interface format differences across multiple sources. Structured fields include classification attributes. Configure standardized mapping rules to unify expressions for fields such as contractor entities and military service branches. Financing amounts use two units: ten thousand yuan and hundred million yuan. Configure automatic conversion rules during data cleaning. The volume of disclosed data per batch fluctuates greatly. Adjust the concurrency threshold for batch processing. Retain incremental synchronization logic during upgrades to avoid duplicate entry or loss of historical data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Each financing daily report document contains multiple structured fields, and parsing requires covering field extraction and standardization; the default timeout duration is insufficient |
UPLOAD_BATCH_SIZE | 50 items/batch | The volume of disclosed data per batch fluctuates greatly; small-batch imports reduce memory usage during deployment |
VECTOR_SEARCH_TOP_K | Top 15 entries | Financing daily reports need to associate historical financing information for the same equipment model, requiring recall of a sufficient number of similar entries |
DATA_SYNC_INTERVAL | 86400 seconds | Matches the daily update frequency of data sources, ensuring timely synchronization of same-day disclosed information |
MAX_CONTEXT_LENGTH | 4000 characters | Each financing daily report has many fields, requiring adaptation to context processing requirements for long text |
UPLOAD_FILE_MAX_SIZE | 100 MB | Allows a larger single file upload volume when importing batch-packaged financing daily report datasets |
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, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Deleting the folder storing a large number of financing daily report documents returns the
timeout of 60000ms exceedederror in the console. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout duration is insufficient to handle batch document deletion operations for more than 50 items per batch. - When deploying in a local development environment, the database initialization step automatically jumps to the Docker Compose deployment process without response. Cause: Sufficient memory quota was not configured for the local environment in advance. The system cannot run both the vector database and data synchronization service simultaneously.
- After deploying to a public cloud, the service fails to pull same-day financing data, prompting a prompt that data source access is restricted. Cause: The IP address of the public cloud deployment node was not added to the compliant access whitelist for national defense and military industry public data sources.
How to Verify Proper Configuration
- Perform a manual data import test. Import a single simulated financing daily report document, and check that field extraction results match the preset configuration.
- Start the scheduled synchronization task. Wait for one synchronization cycle, then check that the number of newly added records in the database matches the volume of same-day disclosed data.
- Call the vector retrieval interface. Enter the keyword of a specified equipment model, and check that the recall rules of the returned results match the preset configuration.
- View deployment logs to confirm there are no abnormal errors such as database connection timeouts or data parsing failures.
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.