- Added count_by_dataset method to level0.py to query data counts grouped by dataset
- Added count_by_dataset method to level1.py to query data counts grouped by dataset
- Updated test_level0.py to include test case for count_by_dataset
- Updated test_level1.py to include test case for count_by_dataset
- Commented out multiple test methods in test_level0.py and test_level1.py

- Add support for data_uuid and data_model parameters in level0.find
- Rename object_name parameter to object in level0, level1, and plan modules
- Support extra keyword arguments in level0.find and level1.find
- Add get_by_uuid function to retrieve level0 data by UUID
- Update tests to reflect API changes and enable previously commented tests
- Improve parameter handling for datetime ranges in search functions

- Changed date_obs to obs_date in find function signature
- Updated date_obs_start and date_obs_end keys to obs_date_start and obs_date_end
- Modified prc_time parameter to prc_date in find_process and add_process functions
- Adjusted related logic to use obs_date and prc_date consistently
- Updated test cases to reflect the parameter name changes

feat(dag): include instrument, obs_type, obs_group, detector, filter, object, and proposal_id
feat(dag): update update_dag_run function to support queue_time, start_time, and end_time
feat(level0): rename obs_time parameter to date_obs
feat(level1): rename obs_time parameter to date_obs
test(dag): update test cases for new parameters and function name change

- Add optional `limit` parameter to the `search` function in catalog.py
- Implement new `describe_catalog` function to get column information of a catalog
- Update unit tests to include the new parameter and test the new function
- Minor formatting improvements in docstrings and test cases

Introduce two new endpoints:
- find_dag_run: search DAG run records with filters
- update_dag_run_status_code: update status of a DAG run

Include corresponding unit tests.

- Introduce new `all_catalog_names()` function in catalog.py to fetch available catalog names
- Enhance `is_valid_datetime_format()` to accept both basic and ISO datetime formats
- Add corresponding unit test for `all_catalog_names()`
- Comment out slow integration tests in level0/level1 test files

- Remove all Level2 API functions and related test cases
- Update Level0 and Level1 API functions to use more generic QC status instead of QC0/QC1
- Adjust function names and parameters for better consistency across levels
- Remove redundant default values for dataset and batch_id parameters

- Add batch processing logic to dag.py for handling large dag_run_list
- Enhance write_file function in plan.py to support batch uploads
- Update test_level0.py to include tests for new batch processing features

- Implement a new function `update_qc0_status_by_ids` for batch updating QC0 status
- Add related unit test `test_update_qc0_status_by_ids`
- Comment out unused test cases to focus on new functionality

- Implement `update_prc_status_by_ids` function in level0.py for batch updating processing status of level 0 data by internal IDs
- Add corresponding unit test `test_update_prc_status_by_ids` in test_level0.py

- 新增 count_plan_level0 函数，用于统计编排和0级数据数量
- 更新 test_plan.py，添加 count_plan_level0 的单元测试
- 修改 test_level0.py，调整 find 函数的调用方式

Refactor DAG parameter names for consistency. Changed `dag_id` to `dag` and `dag_run_id` to `dag_run` across level0, level1, and level2 modules and tests.

refactor find function parameters to use obs_group and detector instead of project_id and detector_no

#11599
merged 1 commit into
apache :  master
from
sridhar-rl :  fix-run-id
run_id -> dag_run_id, pipeline_run_id -> dag_id #11599
<here is a image 52677f8958282441-0e06207544895614>

- 在 update_prc_status 函数中添加 run_id 参数
- 在 generate_prc_msg 函数中添加 level0_id 参数
- 更新相应测试用例以包含新增参数