* refine prompts and add additional package info
* refine prompts to be specific for GBDT models
* minor refine prompts
* use include to replace duplicate info
* refine prompts
* refactor: import DSTrace from base and remove exp_gen __init__
* lint
---------
Co-authored-by: Young <afe.young@gmail.com>
* change DSCoSTEER_eval prompts
* fallback to better exp only
* fix fallback
* fix and reformat
* fix bug when base_fb is None
* add reasoning to hyperparameter evaluation
* feat: add acceptable assessment in exp_feedback (#1159)
* add time
* refine eval prompt and make the logic of tuning check more clear
* some refinement
* fix CI
* fix a small bug, only consider score in runner
* refine comment
* simplify compare function
---------
Co-authored-by: jingyuanlm <842442862@qq.com>
Co-authored-by: Xu <v-xuminrui@microsoft.com>
Co-authored-by: Jensen Lee <91518020+Jensen246@users.noreply.github.com>
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* feat: refactor CoSTEER classes to use DSCoSTEER and update max seconds handling
* remove useless line
* enable time_ratio_limit_to_enable_hyperparameter_tuning
* add scores.csv metric name in both task_gen and coder
* a little fix to column names
* small fix
* avoid sample submission read in task_gen
* avoid sample_submission reading in coding
* code change summary bug fix
* little update
* little refinement to eval
* refine coder and runner eval prompts
---------
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* add prev loops to runner history
* fix evolving history
* fix bug on initializing feedback without final decision
* reformat
* refine
* add comments
* fix ci
* a little refinement
* fix CI
---------
Co-authored-by: Xu <v-xuminrui@microsoft.com>
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* feat: introduce max_seconds_multiplier for timeout management across components
* avoid using assert in test
* hot fix a very small bug
* runner multiply twice
* revert feedback change
* add a switch to longer timeout
* implement runtime_env func for quant
* add runtime_info code
* add runtime env information to the prompt
* format with black
* optimize get_runtime_env code
* delete unnecessary files
* some refinement
* fix fin_quant bugs
---------
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* 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>
* commit all code
* fix feedback bug
* add debug mode in ds
* update prompt
* prioritize performance than time lit
* use run instead
* store running time
* move all data running into running phase
* fix a bug
* use sample data as default
---------
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
* ui server update
* update
* fix bugs
* updates
* use randomname
* fix
* fix bugs
* change time interval in debug server
* some change
* fix CI
* time interval change
* updates
* some changes
* fix
* fix curves
* one IP, one pointers to show msgs return progress
* enable /control
* fix bugs
* fix CI
* fix isort
* add coder version
* merge cooder and feedback prompts
* align v2 and v3 proposal prompts
* fix a small bug
* fix a bug
* fix another bug
* support both function calling and json mode in v2 proposal
* fix minor bug
* reformat
* remove proposal v3
* fix a small bug in json mode
* fix CI
* remove tmp file
* remove v3 check
---------
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
* add custom data setting for the data science scene
* fix ci?
* fix ci
* add custom data as an example
* fix ci
* add package
* fix test_import ci error
* 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>
Tim