What the data for this category looks like
Data for satellite communications financing daily reports comes from public project approval announcements, industry regulatory disclosure documents, and third-party industry databases. Daily data collection and organization are completed at midnight each day. Each document follows a fixed structure, with six core fields: satellite project identifier, launch window time, financing entity, financing amount, communication frequency band range, and project landing location. Some supplementary items include technical parameters and partner information. Field units adhere to general industry specifications, and financing amounts are labeled in ten thousand yuan or hundred million yuan units.
What constraints these characteristics impose on tool calling and plugins
The fixed fields and structured format of satellite communications financing daily reports require strict alignment with preset field parsing rules during tool calling. This prevents parsing failures caused by missing fields or format errors. The daily update cycle requires plugin scheduled tasks to run once per day. Date parameters must be used to accurately pull the latest data for the current day, avoiding repeated retrieval of historical content. Specialized fields such as communication frequency bands and launch windows require tool calling to support filtering by specific dimensions to meet industry retrieval needs. The multi-unit format of financing amounts also requires plugins to include built-in unit conversion logic to uniformly output standardized numerical information.
How to configure settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
daily_sync_cron | 0 2 * * * | Matches the daily update cycle of industry daily reports, avoids peak access times for public data source APIs |
response_parse_schema | Predefined JSON Schema including project_id, launch_window, financing_amount, frequency_band | Matches the fixed field structure of satellite communications financing daily reports to improve parsing accuracy |
request_timeout | 30 seconds | Public data source API responses typically fall within the 10-25 second range; reserves sufficient buffer time to prevent timeout interruptions |
filter_date_range | Last 24 hours | Matches the daily update property of the daily report, only pulls the latest disclosed financing data from the current day |
unit_conversion_enabled | Enabled | Financing amounts use a mix of ten thousand yuan and hundred million yuan units; unified conversion to ten thousand yuan reduces downstream processing complexity |
request_retries | 3 retries | Public APIs may experience temporary fluctuations; retries reduce the probability of retrieval failures |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: Plugin calls return the
415 Unsupported Media Typeerror code. Cause: TheContent-Typeparameter in the request header was not configured correctly. Theapplication/x-www-form-urlencodedparameter serialization method was used, which does not match theapplication/jsonformat required by the API. - Issue: Local API calls work normally, but deployment environment calls return a
Connection refusederror. Cause: The locally debuggedlocalhostdomain name was not replaced with a valid domain name for the deployment environment, and no whitelist rules for API access were configured. - Issue: Financing data returned by the plugin is missing the
frequency_bandfield. Cause: The parsing schema tailored for satellite communications financing daily reports was not used. A generic financing document parsing template was mistakenly used, which cannot recognize industry-specific fields.
How to Verify Proper Configuration
- Review the plugin scheduled task execution logs to confirm that daily retrieval tasks have no timeouts or abnormal errors.
- Manually trigger a plugin call, and verify that the returned data includes the preset core fields and that the field formats meet business requirements.
- Test filtering data by the
frequency_bandparameter to confirm that the returned results match the filter criteria. - Verify that the plugin's request parameter serialization method and request header configuration comply with API requirements.
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.