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Competitors	Total simulation time	Max. decision time	99% decision time	95% decision time
Competitor #1	26874	494.31	0.18	0.08
Competitor #2	33665	105.85	0.94	0.14
La Javaness	24027	11.15	2.60	0.08

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Track	Ep. score	Op. score	Nres. score	Assist score	Completed scenarii
Local dataset	65.01	65.05	86.67	51.93	159/208 (76.4%)
Main assistant	60.83	59.44	90.14	46.55	140/208 (67.3%)
Sim2Real	59.65	55.21	77.41	-	141/208 (67.7%)

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Element	Function	Possible action
Generator	Produces electricity, injects power in the grid. Different types: non-renewable/renewable	Redispatch (non-renewable), curtailment (renewable)
Load	Consumes electricity, consumption endpoint of the grid
Substation	Nodes of the power grid, interconnect elements through 2 connexion buses	Reconfigure buses
Power line	Responsible for transporting electricity, connects 2 elements of the grid	Connect/disconnect
Storage	Battery able to store energy, making it act conceptually as both generator and load within the system	Charge/Discharge

ljnmedium

chatdoc = ChatDoc(model_name= OPENAI_MODEL)
chatdoc.connect_openai_api()

questions = QUESTIONS_COMMITTE_AUDIT
retriever.retreive_with_query( query, top_k=1, namespace='Eiffage')
contexts = loader_document.retreive_contents_from_ids(ids)
respone = chatdoc.prompt_with_context(query, contexts= list(contexts.values()), verbose=True)
print(query,'\n', respone, '\n')

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[09/Sep/2023 15:13:19] INFO - Answer the question based on the context below.
Context:
262RepoR t by the boaRd of diRectoR s on coRpoR ate goveRnance
The following table shows the situation of the non-independent directors with regard to the independence criteria:
Independence criteriaBenoît  
de RuffrayLaurent  ....
Question:  Find the answers for the questions: 
    1/ what is the number of meetings of  Audit Committee ?
    2/ what is the average attendance rate (%) of meetings of  Audit Committe ?
    3/ what is the number of participates in the Audit Committe ? 

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data = [
  {'content': 'This universal registration document, eco-designed from start to finish for the second year, captures the essence  \nof what makes Eiffage different and embodies its vision and commitments to advancing the environmental transition.\nUNIVERSAL REGISTRATION DOCUMENT 2021Advancing the environmental transition \nand fulfilling our social responsibility',
  'metadata': {'source': 'Universal Registration Document/10_EIFFAGE_URD2021_VA.pdf',
   'page': 0,
   'id': 0}},
  {'content': '01In your hands you have a document designed \nusing a low-carbon approach for the second \nyear in a row. Its plain and simple content, \nthe\xa0typefaces selected, the visuals, colours, \nprinting techniques and distribution methods… \nAll these decisions help to\xa0make this annual \nreport a resource-efficient, low-impact \nproduct. \nEvery year, we refine our approach using \nthe\xa0lessons we learned from our previous \nexperience, as all the Group’s teams do. \nWe\xa0continue to work hard to devise and \ni

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OPENAI_MODEL ='text-davinci-003'

class ChatDoc(): 
  
    def __init__(self, model_name:str = OPENAI_MODEL, **model_params):
        self.model = model_name
        self.engine_params = dict(
            model = model_name,
            temperature=0,
            max_tokens=400,

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from pinecone import Index


class Retreiver(Index):
  
    def __init__(self, index_name, embedd_openai_model, sparse_model_file_name, dimension=1536, metric="dotproduct"): 
        self.index_name = index_name
        
        # Create index
        if index_name not in pinecone.list_indexes():

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from openai import Embedding
from pinecone_text.sparse import BM25Encoder

EMBEDDING_MODEL = "text-embedding-ada-002"
SPARSE_MODEL_FILE_NAME = "bm25_values.json"

class Embedding_Model(Embedding): 
  
    def __init__(self, model_name): 
        self.engine = model_name

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index.describe_index_stats()

# Return for example: 
 {
  'dimension': 1536,
  'index_fullness': 0.1,
  'namespaces': {
    'Eiffage': {'vector_count': 344},
    'total_vector_count': 344
  }