What the Data Looks Like
Data related to packaging printing yield rates comes primarily from industry public quote databases, in-house production work order systems, and upstream raw material trading platforms. Full production and transaction data from the previous day is updated every early morning. Each entry contains complete operational information for a single production batch. Data is stored in structured table format, with fields including batch_id, product_type, raw_material_price, process_fee, shipment_price, and material_consumption. Unit specifications are as follows:
raw_material_price: yuan per kilogramprocess_fee: yuan per thousand printed sheetsshipment_price: yuan per setmaterial_consumption: kilograms per thousand printed sheets
Constraints for Database and Operations Workflows
The need for multi-source data access requires the database to support cross-platform data format adaptation, avoiding synchronization failures caused by differences in data source interfaces. The daily T+1 update schedule requires precise scheduled task triggering. Delays will cause daily report data to expire and become invalid. Multiple measurement units across fields require format validation before data import. Without this validation, abnormal data with mixed units will occur. Core field integrity directly affects the accuracy of yield rate calculations. Missing any single field will render data invalid. Long-term historical data retention requires a proper cold archiving strategy in operations, to avoid excessive hot storage resource consumption.
Configuration Settings
The following table lists recommended configuration values and their rationales:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Packaging printing daily report Excel files typically contain complete data for dozens of production batches, so file sizes are large, requiring adaptation for large file uploads |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Complex field format validation and data mapping require extended processing time, to avoid import interruptions due to timeout |
SYNC_CRON | 0 3 * | Matches the business schedule of updating the previous day's data at 3 AM daily, ensuring daily report data is imported on time |
REQUIRED_FIELDS | ["batchid", "producttype", "rawmaterialprice"] | Enforces validation of core field integrity, to avoid yield calculation errors caused by missing key information |
INDEX_FIELD_LIST | ["producttype", "batchid"] | Creates indexes for frequently queried filter fields, improving data retrieval and report generation speed |
COLD_STORAGE_THRESHOLD_DAYS | 30 | Archives historical daily report data older than 30 days to cold storage, reducing long-term hot storage resource consumption |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material forms, 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
- Symptom: After importing a packaging printing daily report Excel file, the interface displays "Some data was not imported", and the log shows a "required field missing" error. Cause: The
REQUIRED_FIELDSparameter is not configured, and core fields for some batches are not filled as required, causing the import process to automatically filter invalid data. - Symptom: MongoDB connection fails after starting FastGPT, with an error prompt related to replica set configuration. Cause: Packaging printing data requires multi-source synchronization to ensure stability; the
MONGODB_REPLICA_SET_ENABLEDparameter is not enabled, causing data conflicts during concurrent writes. - Symptom: When querying yield rate data for a specified production batch, the number of returned results is insufficient. Cause: The
INDEX_FIELD_LISTparameter is not configured, and no index is created forbatch_idin the database, causing partial historical data to be missed in paginated queries.
How to Confirm Configuration is Complete
- Upload a standard-format packaging printing daily report test file, verify that core fields such as
batch_idandproduct_typeare complete after import, with no null values or abnormal formats. - Check the scheduled task execution log to confirm that the daily synchronization task triggers at the preset time, with no timeout or interruption records.
- Execute a filter query for the
product_typefield, confirm that the returned results match the category distribution of the source data, with no omissions. - Check the database storage monitoring panel, confirm that historical data older than 30 days has been automatically migrated to cold storage, with no abnormal growth in hot storage usage.
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.