What this category's data looks like
This page addresses the kindergarten health care and meal management scenario. The materials come from the health room's daily morning checks and absence registration, the cafeteria's sample retention and disinfection records, and purchase documents and recipe ledgers. When the materials enter this function, ingredient names and specifications, sample retention times and batches, disinfection periods, and absence cause classifications each enter the progress table as independent record rows, summarized by week or month. The update rhythm is daily registration, weekly verification, and monthly issuance of a statistical scope statement. The field characteristics are mainly time, batch, category, period, and cause classification. The progress table header must state the statistical scope and exception notes, so that it can be directly cited when producing weekly or monthly reports.
Configuration and implementation checks
This step is handled by the deployment environment's connection configuration (server side), not by the capability execution of a model node, and outputs whether the connection is available (service startup result and connection logs). The "progress table and statistical scope statement" is then completed by deployment handover and subsequent business processing.
| Object | Check | Verification action |
|---|---|---|
| Main business database connection variable | Points to the main business database actually in use and can connect; records such as ingredient names and specifications, sample retention times and batches can be written | In the deployment environment, check that the variable value matches the database address, and connect once with a client |
| Log database connection variable | Configured separately, or left empty according to the instructions to reuse the main database; logs such as disinfection periods and absence cause classifications can be written | Check whether the variable is set, and verify the database to which logs are written |
| Cache connection variable | The cache instance can connect; temporary data during progress table summarization can be read and written | Connect once with a client, and verify the return |
| Vector database connection variable | Consistent with the vector database actually in use; recipe and purchase category retrieval is available | Check the selected vector database and address against the deployment instructions |
Three common errors
- Symptom: documents and sample retention batches do not match, and the same ingredient appears under two batches in the progress table. Cause: sample retention registration and purchase documents were not entered under the same batch number, and there is no batch comparison field during verification.
- Symptom: recipes and purchase categories are inconsistent, and the statistical total does not match the purchase quantity. Cause: the recipe ledger is recorded by dish name, while purchase documents are recorded by ingredient category, and the scope was not unified in the table header.
- Symptom: disinfection records are missing periods, and blanks appear in the weekly total. Cause: disinfection period registration did not cover all periods, and the progress table did not state exception notes, so the reason for the missing data cannot be determined during verification.
How to verify the setup
This function's acceptance: connect once to the main business database, log database, cache, and vector database item by item, verify the connection results in the startup logs, and check that the values of MONGODB_URI, PG_URL, and REDIS_URL are consistent with the deployment instructions.
Business test: use one week of records to verify the total, and see whether the scope and exceptions are clearly stated.
- In the deployment environment, check the connection variable values for the main business database, log database, cache, and vector database, and confirm they are consistent with the deployment instructions.
- Check the connection results in the startup logs, confirm there are no persistent connection timeouts, and verify the database to which logs are written.