Skip to content
GitLab
Switch branch/tag
You can move around the graph by using the arrow keys.
Created with Raphaël 2.2.023Jul201915117427Jun16151120May29Apr282523211931Mar324Feb21206Jan532131Dec30292827252423add build and pmapname conditionmainmainrefactor(level0): update API endpoint for batch processing statusrefactor(level0): update qc status API endpointrefactor(client): remove unused Level2 API and update Level0/Level1 APIfeat(level1): 添加及更新QC状态函数feat(level0): 更新QC状态函数及测试refactor(csst_dfs_client): update function signature in level0.pydocs(csst_dfs_client): update plan.py documentationfix(csst_dfs_client): update success condition in write_file functionrefactor(client): implement batch processing for DAG and plan operationsfeat(level0): add batch update QC0 status functionfeat(level0): add batch update function for processing statusfeat(plan): 为 count_plan_level0 函数添加可选参数feat(plan): 添加计划和0级数据统计功能refactor(client): optimize request functions and update API interfacesRefactor 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."add DAG group run creation and search functionality"refactor find function parameters to use obs_group and detector instead of project_id and detector_norefactor find function parameters to use obs_group and proposal_id instead of project_idupdate documentation links for data model and API usagedata-type->data_modelrm file_typefind processspell correctrm the default value of datasetadd datasetfields refactormv doc and module_id to instrumentast relatedfind condition addcomemnts updatera_obj -> ra_cen- 在 write 函数中将"文件类型"改为"数据类型"file_type bugfixdata_type fixfile_type -> data_typefile_type -> data_typerun_id -> dag_run_id pipeline_run_id -> dag_iddocs: 国台环境新地址read README.md with encoding UTF-8