What this category's data looks like
For kindergarten childcare daily life management, materials include the daily life schedule, morning and afternoon check records, and child health observation records. The sources are daily entries by class teachers and childcare workers, with updates summarized daily and weekly. Field characteristics are name, date, time, activity segment, observation description, signature or receipt. When entering the progress record and statistical verification function, the daily life schedule provides the planned scope and segment names, the morning and afternoon check records provide attendance and health status, and the child health observation records provide individual observations and handling notes. The three types of materials jointly support the progress table and statistical scope description, verify whether the number of records matches the statistical count, write the scope into the table header, and enter the weekly or monthly report.
Configuration and implementation checks
This part is executed by the connection configuration of the deployment environment (server side), not by the capability of the model node, and outputs whether the connection is available (service startup result and connection logs). The "progress table and statistical scope description" is then completed by deployment handover and subsequent business processing. The connection address is configured by environment variables, and the main business database, log database, cache, and vector database can point to different instances respectively.
| Object | Check | Verification action |
|---|---|---|
| Daily life schedule | Fields include date, segment name, time period, teacher signature; the date and segment name can be cross-checked with the morning and afternoon check records and health observation records | In the deployment environment, verify that the value of the main business database connection variable matches the database address, and check whether the date and signature of this table are complete |
| Morning and afternoon check records | Fields include date, name, morning check result, afternoon check result, signature or receipt; the date can be cross-checked with the schedule, and the name can be cross-checked with the health observation records | Use a client to connect once to the cache instance and verify the return of REDIS_URL; then verify whether the number of records matches the statistical count |
| Child health observation records | Fields include date, name, observation description, handling notes, signature; the name and date can be cross-checked with the morning and afternoon check records | Check the selected vector database and address against the deployment instructions, and check whether PG_URL matches the vector database actually used |
| Log database connection variable | Configure separately, or leave blank to reuse the main database as instructed; the database to which logs are written can be verified | Check whether the variable is set, and verify the database to which logs are written; the main business database variable MONGODB_URI points to the main business database actually used and can be connected |
Three common errors
- Symptom: The name, quantity, or date of the same record does not match between the schedule and the morning and afternoon check records. Cause: The two materials are filled in separately and not verified according to the same scope, resulting in differences in the statistical totals.
- Symptom: The version of the health observation records is not synchronized, and the old version is still referenced. Cause: After updating, no unified replacement was made, and the progress table and statistical scope description were not adjusted with the version, so the totals and the number of records are inconsistent.
- Symptom: The morning and afternoon check records or health observation records lack a signature or receipt. Cause: The filling process is not closed-loop, the source of the records cannot be confirmed during verification, and exceptions in the statistical scope are not clearly stated.
How to verify the setup
Acceptance of this function: connect once to the main business database, log database, cache, and vector database item by item, check the connection results in the startup logs, and confirm that the main business database variable MONGODB_URI, cache variable REDIS_URL, and vector database variable PG_URL match the actual instances.
Business test: use one week of records to verify the totals, see whether the scope and exceptions are clearly stated, and verify whether the number of records matches the statistical count.
- In the deployment environment, verify that the value of the main business database connection variable matches the database address, and check whether the log database variable is set or left blank to reuse the main database as instructed.
- Use a client to connect once to the cache instance and verify the return; check the selected vector database and address against the deployment instructions, and check the dates and signatures of the daily life schedule, morning and afternoon check records, and child health observation records.