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https://github.com/BoardWare-Genius/jarvis-models.git
synced 2025-12-13 16:53:24 +00:00
fix: chroma setting url and key
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@ -6,8 +6,11 @@ from .blackbox import Blackbox
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import chromadb
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from chromadb.utils import embedding_functions
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from ..utils import chroma_setting
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import logging
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from ..log.logging_time import logging_time
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import re
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logger = logging.getLogger
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DEFAULT_COLLECTION_ID = "123"
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from injector import singleton
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@ -16,10 +19,11 @@ class ChromaQuery(Blackbox):
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def __init__(self, *args, **kwargs) -> None:
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# config = read_yaml(args[0])
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# load embedding model
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self.embedding_model = embedding_functions.SentenceTransformerEmbeddingFunction(model_name="/model/Weight/BAAI/bge-small-en-v1.5", device = "cuda")
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# load chromadb
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self.client = chromadb.HttpClient(host='10.6.82.192', port=8000)
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# load chromadb and embedding model
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self.embedding_model_1 = embedding_functions.SentenceTransformerEmbeddingFunction(model_name="/model/Weight/BAAI/bge-small-en-v1.5", device = "cuda")
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# self.embedding_model_2 = embedding_functions.SentenceTransformerEmbeddingFunction(model_name="/model/Weight/BAAI/bge-small-en-v1.5", device = "cuda")
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self.client_1 = chromadb.HttpClient(host='10.6.82.192', port=8000)
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# self.client_2 = chromadb.HttpClient(host='10.6.82.192', port=8000)
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def __call__(self, *args, **kwargs):
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return self.processing(*args, **kwargs)
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@ -28,14 +32,52 @@ class ChromaQuery(Blackbox):
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data = args[0]
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return isinstance(data, list)
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def processing(self, question: str, collection_id) -> str:
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@logging_time(logger=logger)
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def processing(self, question: str, settings: dict) -> str:
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# load or create collection
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collection = self.client.get_collection(collection_id, embedding_function=self.embedding_model)
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if settings is None:
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settings = {}
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usr_question = question
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# # chroma_query settings
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chroma_embedding_model = settings.get("chroma_embedding_model")
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chroma_host = settings.get("chroma_host")
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chroma_port = settings.get("chroma_port")
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chroma_collection_id = settings.get("chroma_collection_id")
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chroma_n_results = settings.get("chroma_n_results")
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if usr_question is None:
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return JSONResponse(content={"error": "question is required"}, status_code=status.HTTP_400_BAD_REQUEST)
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if chroma_embedding_model is None or chroma_embedding_model.isspace() or chroma_embedding_model == "":
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chroma_embedding_model = "bge-small-en-v1.5"
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if chroma_host is None or chroma_host.isspace() or chroma_host == "":
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chroma_host = "10.6.82.192"
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if chroma_port is None or chroma_port.isspace() or chroma_port == "":
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chroma_port = "8000"
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if chroma_collection_id is None or chroma_collection_id.isspace() or chroma_collection_id == "":
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chroma_collection_id = DEFAULT_COLLECTION_ID
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if chroma_n_results is None or chroma_n_results == "":
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chroma_n_results = 3
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# load client
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if re.search(r"10.6.82.192", chroma_host) and re.search(r"8000", chroma_port):
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client = self.client_1
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if re.search(r"bge-small-en-v1.5", chroma_embedding_model):
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embedding_model = self.embedding_model_1
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# load collection
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collection = client.get_collection(chroma_collection_id, embedding_function=embedding_model)
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# query it
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results = collection.query(
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query_texts=[question],
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query_texts=[usr_question],
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n_results=3,
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)
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@ -50,14 +92,8 @@ class ChromaQuery(Blackbox):
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return JSONResponse(content={"error": "json parse error"}, status_code=status.HTTP_400_BAD_REQUEST)
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user_question = data.get("question")
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user_collection_id = data.get("collection_id")
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if user_question is None:
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return JSONResponse(content={"error": "question is required"}, status_code=status.HTTP_400_BAD_REQUEST)
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if user_collection_id is None:
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user_collection_id = DEFAULT_COLLECTION_ID
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setting = data.get("settings")
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return JSONResponse(
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content={"response": self.processing(user_question, user_collection_id)},
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content={"response": self.processing(user_question, setting)},
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status_code=status.HTTP_200_OK)
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