* fix: prevent calendar index overflow when signal data ends early
* fix: make test_end optional to resolve Qlib backtest calendar misalignment
* fix: enhance GPU information output in get_gpu_info function
* fix: improve GPU information output in get_gpu_info function for better clarity
---------
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* refactor: use get_truncated_stdout for consistent stdout handling across modules
* lint
* feat: add dump_stdout_type to DSRunnerCoSTEERSettings and use in eval
* fix: avoid circular import by moving DSRunnerEvaluator import inside method
* Align scenario descriptions and include debug timeout
- Updated config.py to support debug timeout configuration
- Synchronized prompts in exp_gen and scen modules
- Refactored proposal.py for consistency with new scenario descriptions
- Improved __init__.py for better scenario management
* remove running time in stdout
---------
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
* check sample submission & add package constraint
* add trace.log into clear
* change default
* simplify
* clear CI workspace before running
* move to CI
* use sudo to clean workspace
* move prepare out of global var
---------
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
* init commit
* remove the 5-fold spec from prompts
* refine the hyperparameter specification
* do not sample data
* a small spelling issue
* refine prompt to avoid submission cheating
* do not sample data
* simplify code
* refine the coder evaluator prompt
* refine wording
* remove runtime from proposal
* refine wording
* refine prompt
* add gpu info in runtime_info.py
* modify the spec
* add router and add refinement exp gen
* fix prompt bug
* use rule-based logic for router
* complete the prompt
* fix circular import bug
* fix bug
* make refine_decision optional
* update pipeline prompts: (1) add scenary: in an iterative cooding loop and use sample datasets (2)add some generation tops in coding (3)add evaluation guidelines in evaluation (4)polish the json schema and description
* fix a small bug
* fix a small bug
* rdagent/scenarios/data_science/loop.py back to the original version
* refactor: replace _get_exp_gen with default_exp_gen for exp generation
* import
* refactor: make the __init__ back to main
* fix small bugs
* fix bugs for proposal_version
* move refine into runner
* check early stop
* EDA improvement & coder classes number
* fix CI
* slightly refine the prompt
* remove rule_base_eval and remove useless prompt
---------
Co-authored-by: Xu <v-xuminrui@microsoft.com>
Co-authored-by: TPLin22 <tplin2@163.com>
Co-authored-by: amstrongzyf <amstrongzyf@126.com>
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
Co-authored-by: Young <afe.young@gmail.com>
* docs: document extra_volumes dict format in DockerConf
* feat: accept dict values in extra_volumes to specify bind and mode
* fix: skip invalid PDF reports to prevent infinite loop
* from break to raise self.LoopTerminationError
* format with black
---------
Co-authored-by: Young <afe.young@gmail.com>
* feat: replace hard-coded cache paths with dynamic cache_path config
* style: reorder wait_retry import and format chmod list
* refactor: pass workspace_path to chmod command and use DockerConf check
* refactor: split workflow into pkg, add WorkflowTracker & wait_retry
* feat: add async LoopBase with parallel workers and step semaphores
* fix: replace pickle with dill and run blocking tasks via joblib wrapper
* feat: add log format settings, dynamic parallelism & pickle-based snapshot
* fix: default step semaphore to 1 and avoid subprocess when single worker
* merge bowen's changes
* merge tim's changes
* refactor: extract component task mapping, add conditional logger setup
* lint
* refactor: add type hints and safer remain_time metric logging in workflow
* lint
* fix: allow BadRequestError to be pickled via custom copyreg reducer
* fix: stop loop when LoopTerminationError is raised in LoopBase
* lint
* refactor: make log tag context-local using ContextVar for thread safety
* feat: add subproc_step flag and helper to decide subprocess execution
* fix: use ./cache path and normalize relative volume bind paths
* fix: reset loop_idx to 0 on loop restart/resume to ensure correct flow
* fix: avoid chmod on cache and input dirs in Env timeout wrapper
* fix: skip chmod on 'cache' and 'input' dirs using find -prune
* fix: restrict chmod to immediate mount dirs excluding cache/input
* fix: chmod cache and input dirs alongside their contents after entry run
* fix: guard chmod with directory checks for cache and input
* fix: prefix mount_path in chmod command for cache/input dirs
* fix: drop quotes from find exclude patterns to ensure chmod executes
* fix: skip chmod on cache/input directories to avoid warning spam
* feat: support string volume mappings and poll subprocess stdout/stderr
* support remove symbolic link
* test: use dynamic home path and code volume in LocalEnv local_simple
* fix: skip trace and progress update when loop step is withdrawn
* refactor: add clean_workspace util and non-destructive workspace backup
* fix: preserve symlinks when backing up workspace with copytree
* fix: prevent AttributeError when _pbar not yet initialized in LoopBase
* perf: replace shutil.copytree with rsync for faster workspace backup
* fix: cast log directory Path to str in tar command of data science loop
* fix: use portable 'cp -r -P' instead of rsync for workspace backup
* fix: add retry and logging to workspace backup for robustness
* refactor: extract backup_folder helper and reuse in DataScienceRDLoop
* fix: propagate backup errors & default _pbar getattr to avoid error
* fix the division by zero bug
* refactor: execute RD loops via asyncio.run and add necessary imports
* lint
* lint
* lint
---------
Co-authored-by: Xu <v-xuminrui@microsoft.com>
* fix model input shape bug and costeer_model bug
* fix a bug
* fix a bug in docker result extraction
* a system-level optimization
* add a filter of stdout
* update
* add stdout to model
* model training_hyperparameters update
* quant scenario
* update some quant settings
* llm choose action
* Thompson Sampling Bandit for action choosing
* refine both scens
* add trace messages for quant scen
* fix some bugs
* fix some bugs
* update
* update
* update
* fix
* fix
* fix
* update for merge
* fix ci
* fix some bugs
* fix ci
* fix ci
* fix ci
* fix ci
* refactor
* default qlib4rdagent local env downloading
* fix ci
* fix ci
* fix a bug
* fix ci
* fix: align all prompts on template (#908)
* use template to render all prompts
* fix CI
---------
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
* add fin_quant in cli
* fix a bug
* fix ci
* fix some bugs
* refactor
* remove the columns in hypothesis if no value generated in this column
* fix a bug
* fix ci
* fix conda env
* add qlib gitignore
* remove existed qlib folder & install torch in qlib conda
* fix workspace ui in feedback
* align model config in coder and runner in docker or conda
* fix CI
* fix CI
---------
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
* custom data
* fix: simplify competition check and log local description file
* no sample data
* feat: add test evaluation module with error handling support
* fix: update eval path to use eval_sub_dir and add valid_check TODO
* refactor: add MLETestEval check to conditionally run grading steps
* avoid blank stdout
* valid in testeval
* rename test.csv to avoid conflict
* Support Disabling sample submission
* refactoring
* fix: remove DS_KAGGLE_DATA and update prompt instructions
* add try for grade
* ignore submission
* fix: remove tee from eval command and warn about pipeline exit code detection
* optional to use raw description
* support old data
* add execution result to stdout
* add metric to raw description
* custom data explain
* add debug_path
* rst update
---------
Co-authored-by: Young <afe.young@gmail.com>
* feat: add model dump flag and multi-evaluator support
* tmp code
* refactor: update evaluator feedback and FBWorkspace types
* feat: add get_clear_ws_cmd and CPU count in Docker environment
* feat: Add model dump check level and enhance evaluator functionality
fix data type bug
* fix: Ensure required files exist before model dump evaluation
* refactor: streamline prompt and file checks in model dump evaluation
* fix: add assertions and reorder file reads in model dump evaluator
* feat: remove EDA part from evaluation output
* docs: update dump_model guidelines and eval prompt to include template
* style: reformat multiline dicts and lists in conf and eval files
* fix: add DOTALL flag to EDA removal regex
* ui changes
* add ours vs medal threshold
* add success loop statistic of components
* show times info
* UI updates
* summary selected
* change colors
* fix CI
* add stat hours param for `mle_summary.py --summary` command
* add 24h summary button
* fix CI
* add logger info for dockerEnv/condaEnv running time
* cache function
* fix test
* bin cache
* fix test
* fix test
* fix test
* cache for different source
* cache for localenv
* remove unnecessary log
* reformat
* remove unrelated modify
* use conda to run kaggle and mlebench code
* refactor: Simplify environment configuration and execution logic
* add setting to use local env in ds
* refine dockerfile
* fix: Move MLEBDockerEnv initialization inside conditionals & fix condaenv
* refactor: reformat code for better readability and consistency
* feat: add conda env to all envs.
* fix: fix bugs when run loop
* refactor: Simplify DockerEnv configuration in mle_summary.py
* fix image bug
* style: reformat code for better readability and consistency
* change commit
* feat: Add entrypoint script for sing_docker scenario in rdagent
* refactor: add Any type hints and comments for clarity in env.py
* feat: Create log directory if it doesn't exist in entrypoint script
* feat: Add debug mode and list root directory in entrypoint script
* fix: Remove specific branch checkout in Dockerfile for RD-Agent
* fix: Add competition argument to loop.py script execution
* fix: Correct directory navigation and dependency installation in entrypoint.sh
* fix: Correct user ownership assignment in entrypoint script
* refactor: Comment out redundant log copying to RD_OUTPUT_DIR
* fix: Unset LOG_TRACE_PATH to prevent log contamination in entrypoint.sh
---------
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* refactor: Add run_ret_code method and update run method to use it
* feat: Add kwargs support to run methods and test for run_ret_code
* fix: preserve exit code after chmod in DockerEnv entry command
* chore: Change file permissions from 755 to 644 in env_tpl directory
* refactor: Return execution code and update evaluator logic
* lint
* refactor: Use MappingProxyType for running_extra_volume in DockerEnv methods
* lint
* refactor: Update type annotations and remove unused class in evolving modules
* refactor: Simplify evolving agent and feedback handling in CoSTEER module
* lint & CI
* mypy
* ruff for core
* mypy
* refactor: remove unnecessary comments and update feedback handling logic
* refactor: Add prev_task_feedback parameter to evolving strategies
* feat: Clear folder before extracting zip file in DockerEnv
* fix: Correct retrieval of last experiment from history
Linlang