Git Product home page Git Product logo

grid2op_pp_baseline's People

Contributors

bdonnot avatar jhmenke avatar krisiee avatar

Stargazers

avatar avatar avatar avatar avatar

Watchers

avatar

Forkers

bdonnot krisiee

grid2op_pp_baseline's Issues

Compartible with l2rpn_neurips_2020_track1? (AssertionError)

Is the PandaPowerOPFAgent compatible with the new l2rpn_neurips_2020_track1 environment?

I created a small submission for testing purposes:

__init__.py

from .my_baseline import make_agent

my_baseline.py

from l2rpn_baselines.PandapowerOPFAgent import PandapowerOPFAgent


def make_agent(env, submission_dir):
    agent = PandapowerOPFAgent(env.action_space, env.init_grid_path)
    return agent

Afterwards I run check_submission.py. I got the following error:

Traceback (most recent call last):
  File "/home/alwin/PycharmProjects/l2rpn-challenge/submission/utils/ingestion_program_local//ingestion.py", line 306, in <module>
    main()
  File "/home/alwin/PycharmProjects/l2rpn-challenge/submission/utils/ingestion_program_local//ingestion.py", line 282, in main
    agent_seeds=agent_seeds,
  File "/home/alwin/miniconda3/envs/l2rpn_challenge/lib/python3.7/site-packages/grid2op/Runner/Runner.py", line 1076, in run
    env_seeds=env_seeds, max_iter=max_iter, agent_seeds=agent_seeds)
  File "/home/alwin/miniconda3/envs/l2rpn_challenge/lib/python3.7/site-packages/grid2op/Runner/Runner.py", line 819, in _run_sequential
    max_iter=max_iter)
  File "/home/alwin/miniconda3/envs/l2rpn_challenge/lib/python3.7/site-packages/grid2op/Runner/Runner.py", line 592, in run_one_episode
    pbar=pbar, env_seed=env_seed, max_iter=max_iter, agent_seed=agent_seed)
  File "/home/alwin/miniconda3/envs/l2rpn_challenge/lib/python3.7/site-packages/grid2op/Runner/Runner.py", line 694, in _run_one_episode
    act = agent.act(obs, reward, done)
  File "/home/alwin/miniconda3/envs/l2rpn_challenge/lib/python3.7/site-packages/l2rpn_baselines/PandapowerOPFAgent/PandapowerOPFAgent.py", line 122, in act
    self.parse_observation_to_grid(observation)
  File "/home/alwin/miniconda3/envs/l2rpn_challenge/lib/python3.7/site-packages/l2rpn_baselines/PandapowerOPFAgent/PandapowerOPFAgent.py", line 68, in parse_observation_to_grid
    assert len(self.grid.ext_grid) == 1 and len(obs.gen_type) == len(self.grid.gen) + len(self.grid.ext_grid)
AssertionError

Thank you in advance!

AttributeError: 'DataFrame' object has no attribute 'max_i_ka'

When I run:

import grid2op
from l2rpn_baselines.PandapowerOPFAgent import evaluate

env = grid2op.make()
evaluate(env, logs_path='logs-eval-opf-agent')

I get the following exception:

Traceback (most recent call last):
  File "/home/alwin/PycharmProjects/l2rpn-challenge/l2rpn_baseline/evaluate_opf_agent.py", line 7, in <module>
    evaluate(env, logs_path='logs-eval-opf-agent')
  File "/home/alwin/miniconda3/envs/l2rpn-challenge/lib/python3.7/site-packages/l2rpn_baselines/PandapowerOPFAgent/evaluate.py", line 78, in evaluate
    pbar=False)
  File "/home/alwin/miniconda3/envs/l2rpn-challenge/lib/python3.7/site-packages/grid2op/Runner/Runner.py", line 940, in run
    res = self.run_sequential(nb_episode, path_save=path_save, pbar=pbar, seeds=seeds, max_iter=max_iter)
  File "/home/alwin/miniconda3/envs/l2rpn-challenge/lib/python3.7/site-packages/grid2op/Runner/Runner.py", line 767, in run_sequential
    max_iter=max_iter)
  File "/home/alwin/miniconda3/envs/l2rpn-challenge/lib/python3.7/site-packages/grid2op/Runner/Runner.py", line 556, in run_one_episode
    pbar=pbar, seed=seed, max_iter=max_iter)
  File "/home/alwin/miniconda3/envs/l2rpn-challenge/lib/python3.7/site-packages/grid2op/Runner/Runner.py", line 648, in _run_one_episode
    act = agent.act(obs, reward, done)
  File "/home/alwin/miniconda3/envs/l2rpn-challenge/lib/python3.7/site-packages/l2rpn_baselines/PandapowerOPFAgent/PandapowerOPFAgent.py", line 152, in act
    self.opf_type.lower(), logger=self.logger)
  File "/home/alwin/miniconda3/envs/l2rpn-challenge/lib/python3.7/site-packages/l2rpn_baselines/PandapowerOPFAgent/pp_functions.py", line 48, in run_opf
    trafo_loading_before = (grid.res_trafo.i_hv_ka / grid.trafo.max_i_ka * 100.).max()
  File "/home/alwin/miniconda3/envs/l2rpn-challenge/lib/python3.7/site-packages/pandas/core/generic.py", line 5274, in __getattr__
    return object.__getattribute__(self, name)
AttributeError: 'DataFrame' object has no attribute 'max_i_ka'

Import problem

Hello,

Sorry to bother you again, but it seems your baseline is not working.

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/benjamin/Documents/l2rpn-baselines/l2rpn_baselines/PandapowerOPFAgent/__init__.py", line 6, in <module>
    from l2rpn_baselines.PandapowerOPFAgent.PandapowerOPFAgent import PandapowerOPFAgent
  File "/home/benjamin/Documents/l2rpn-baselines/l2rpn_baselines/PandapowerOPFAgent/PandapowerOPFAgent.py", line 9, in <module>
    from grid2op.Agent import Agent
ImportError: cannot import name 'Agent' from 'grid2op.Agent' (/home/benjamin/Documents/grid2op/grid2op/Agent/__init__.py)

Indeed now the class Agent is called BaseAgent in grid2op.

Benjamin

Moving around some docs for an easier integration

Hello Jan Hendrick,

Would it be possible for you to have all your baseline code in the github repostiory.
This would look like:

.gitignore
LICENSE
Readme.md
info.md
__init__.py
evaluate.py
pandapowerOPFAgent.py
pp_functions.py

So that we can directly add a directory "pandapowerOPF" into l2rpn-baselines that would be a "symbolic link" (ie a submodule) containing your code, the license and all ?

Thanks a lot :-)

Benjamin

 

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.