What the data for this category looks like
Data related to aerospace equipment yield comes primarily from publicly disclosed task ledgers, on-orbit equipment operation ledgers, and official space launch mission settlement documents in the national defense and military industry sector. Update schedules follow task milestones. Corresponding batch data is updated within 72 hours after a single task completes. Most documents are structured CSV files or fixed-format ledger tables. Fields include equipment model code, task execution cycle, direct input cost, total task contract amount, and cumulative operation duration. Their respective units are model code, calendar days, Chinese Yuan (CNY), Chinese Yuan (CNY), and calendar days. There is no unified monthly fixed update window for this data. Operation data for some long-term on-orbit equipment is updated quarterly.
What constraints these characteristics impose on forms and interactions
Aerospace equipment yield data comes from scattered sources with no fixed update schedule. Forms must support users uploading custom structured ledger files. Fields include non-standard task batch information, so forms must support field mapping configuration. This allows users to manually bind columns from uploaded documents to system preset fields. Direct input cost and total task contract amount are numeric fields, so forms must add non-negative numeric validation rules to block invalid inputs. Single task data must be linked to a unique batch, so forms must add batch number duplicate validation to avoid repeated submission of the same batch data. Some on-orbit equipment operation data must be linked to long-term cycle fields, so forms must support filter interactions for custom time ranges.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Aerospace equipment ledger files usually contain multiple batches of task data. 1000 MB covers storage needs for most ledger files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large ledger files takes longer. 600 seconds prevents task failure caused by parsing timeout |
UPLOAD_FILE_ACCEPT_TYPES | text/csv,application/vnd.ms-excel | Aerospace equipment ledgers are typically stored in CSV or Excel formats. Limiting allowed upload types reduces invalid file submissions |
FORM_FIELD_VALIDATION_ENABLE | Enabled | Numeric fields in aerospace equipment data require strict non-negative input validation. Enabling this automatically blocks invalid numeric values |
BATCH_UNIQUE_CHECK_ENABLE | Enabled | Aerospace equipment task batches are unique. Enabling this automatically validates for duplicate batch number submissions |
FORM_FIELD_MAPPING_AUTO | Disabled | Field order varies across ledger files from different sources. Disabling automatic mapping allows users to manually configure field correspondence |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Uploading a ledger file results in parsing failure, with the
413 Request Entity Too Largeerror returned. TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted. The default value is too small to accommodate large aerospace equipment ledger files. - Submitting a form results in task timeout without completion, with the
504 Gateway Timeouterror returned. ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout duration is insufficient for parsing large ledger files. - Field mismatches still occur after manually configuring field mapping. The
FORM_FIELD_MAPPING_AUTOparameter was enabled. The system automatically overwrites manually configured mapping relationships, leading to incorrect field binding.
How to confirm configurations are correct
- A test file that follows the aerospace equipment ledger format can be uploaded. Review upload progress and parsing logs to confirm the file was not blocked due to size limits.
- Test data can be submitted after manually configuring field mapping relationships. Verify that the system correctly identifies each field's numeric value and format.
- A duplicate batch number can be entered, and a test submission made. Confirm that the system triggers duplicate validation blocking.
- Wait for the parsing task to complete. Confirm that the parsing result is returned within the preset timeout duration.
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.