What this category’s data looks like
Satellite communications investment research data primarily comes from satellite telemetry parameters collected by ground measurement and control stations, orbit prediction files, frequency band allocation specification documents, and business operation logs. Update frequencies fall into three categories: telemetry real-time data streams are updated per second, orbital parameters are updated per orbital period, and industry standard documents are revised quarterly or annually.
A single structured data entry includes fields such as satellite number, orbital inclination, downlink carrier frequency, received signal-to-noise ratio, and collection timestamp, with units of degrees, MHz, dB, and UTC timestamp respectively. Unstructured documents are mostly PDF-format frequency band planning manuals, which include multi-chapter frequency band allocation rules.
Constraints on database and operations
The real-time nature and mixed multi-type characteristics of satellite communications data impose multiple constraints on database and maintenance operations. The per-second writing requirement of real-time telemetry data streams requires the database to support high-concurrency time-series writing capabilities. Sufficient connection pool parameters must be configured to avoid connection exhaustion.
Periodic batch updates of orbital parameters require scheduled synchronization tasks to be set up. Conflict verification for multi-version data must be handled to avoid duplicate data entry. Fixed units for structured fields require the database to be configured with unified field verification rules to prevent data anomalies caused by unit mismatches.
Unstructured documents have large individual file sizes, so separate object storage paths must be configured to avoid occupying storage space of relational databases. At the same time, data collection from cross-regional ground stations requires off-site disaster recovery backup configuration to ensure data availability.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_CONNECTION_URI | mongodb://user:pass@host:port/dbname?replicaSet=rs0&maxPoolSize=200 | High-concurrency writing of satellite real-time data streams requires a sufficient connection pool. The replicaSet configuration ensures disaster recovery, and maxPoolSize adapts to per-second writing requirements |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Unstructured documents such as satellite frequency band planning manuals have large individual file sizes. This parameter limits the maximum file size for a single upload to avoid exceeding storage thresholds |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large unstructured documents takes a long time. A 600-second timeout setting covers the complete parsing process and avoids mid-process interruptions |
RECALL_TOP_K | Top 10 entries | The fields of satellite investment research data are relatively fixed. Recalling 10 entries covers core investment research reference information and avoids excessive redundant data consuming tokens |
DB_CONNECTION_TIMEOUT_MS | 30000 milliseconds | Data collection from cross-regional ground stations may experience network delays. A 30000-millisecond timeout setting adapts to long-connection scenarios and avoids frequent timeout disconnections |
MONGO_WRITE_CONCERN | w:1 | Writing real-time telemetry data prioritizes timeliness. The w:1 configuration returns success after data is written to the primary node, balancing performance and basic reliability |
The parameter values provided on this page are all conventional recommendations used as a starting point 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 settings.
Three common configuration errors
- Symptom: Running
pnpm devin a local development environment shows a database connection timeout and fails to start the service. Cause: The correct MongoDB connection address is not configured, or the local MongoDB service is not started, causing connection requests to fail to complete the handshake within the timeout threshold. - Symptom: The token consumption displayed in the model's returned satellite investment research results does not match the statistical value from the actual API call. Cause: No truncation rule for database recalled data is configured, resulting in too many incoming original fields exceeding the token limit of the context window. Automatic truncation by the model causes statistical deviations.
- Symptom: Attempting to call a database-returned JPG image as answer output via an HTTP request fails to render properly. Cause: No binary data storage path for the database is configured, and the knowledge base parsing module does not enable streaming transmission support for binary files, resulting in failure to correctly extract image data.
How to verify correct configuration
- Run the local development environment startup command, check the database connection logs output to the console, confirm there are no timeout errors, and adjust the connection timeout parameter values based on the actual network environment.
- Upload a typical satellite frequency band planning document, wait for parsing to complete, check the file status in the knowledge base list, confirm parsing is successful and there are no format abnormalities, and adjust upload and parsing related parameters based on document size.
- Initiate a model call, check the matching degree between the token statistics in the returned results and the values in the API call logs, and adjust the recall count parameter value based on the number of fields in the recalled data.
- After configuring the binary data storage path, upload a satellite real-shot image, call the image link in the model's answer, confirm the image can load normally, and adjust the storage quota based on the image size.
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.