mirror of
https://github.com/deepset-ai/haystack.git
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39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
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import ast
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import os
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# Resources / Computation
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USE_GPU = os.getenv("USE_GPU", "True").lower() == "true"
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MAX_PROCESSES = int(os.getenv("MAX_PROCESSES", 4))
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BATCHSIZE = int(os.getenv("BATCHSIZE", 50))
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# DB
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DB_HOST = os.getenv("DB_HOST", "localhost")
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DB_USER = os.getenv("DB_USER", "")
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DB_PW = os.getenv("DB_PW", "")
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DB_INDEX = os.getenv("DB_INDEX", "document")
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DB_INDEX_FEEDBACK = os.getenv("DB_INDEX_FEEDBACK", "feedback")
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ES_CONN_SCHEME = os.getenv("ES_CONN_SCHEME", "http")
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TEXT_FIELD_NAME = os.getenv("TEXT_FIELD_NAME", "text")
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SEARCH_FIELD_NAME = os.getenv("SEARCH_FIELD_NAME", "text")
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EMBEDDING_FIELD_NAME = os.getenv("EMBEDDING_FIELD_NAME", None)
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EMBEDDING_DIM = os.getenv("EMBEDDING_DIM", None)
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# Reader
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READER_MODEL_PATH = os.getenv("READER_MODEL_PATH", None)
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CONTEXT_WINDOW_SIZE = int(os.getenv("CONTEXT_WINDOW_SIZE", 500))
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DEFAULT_TOP_K_READER = int(os.getenv("DEFAULT_TOP_K_READER", 5))
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TOP_K_PER_CANDIDATE = int(os.getenv("TOP_K_PER_CANDIDATE", 3))
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NO_ANS_BOOST = int(os.getenv("NO_ANS_BOOST", -10))
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DOC_STRIDE = int(os.getenv("DOC_STRIDE", 128))
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MAX_SEQ_LEN = int(os.getenv("MAX_SEQ_LEN", 256))
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# Retriever
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DEFAULT_TOP_K_RETRIEVER = int(os.getenv("DEFAULT_TOP_K_RETRIEVER", 10))
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EXCLUDE_META_DATA_FIELDS = os.getenv("EXCLUDE_META_DATA_FIELDS", None)
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if EXCLUDE_META_DATA_FIELDS:
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EXCLUDE_META_DATA_FIELDS = ast.literal_eval(EXCLUDE_META_DATA_FIELDS)
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EMBEDDING_MODEL_PATH = os.getenv("EMBEDDING_MODEL_PATH", None)
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# Monitoring
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APM_SERVER = "http://localhost:8200"
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