64 lines
1.8 KiB
Bash
64 lines
1.8 KiB
Bash
# PlantAI-rag local configuration template.
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# Copy this file to .env for local runs. Do not commit real API keys,
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# passwords, private dataset paths, or server-specific settings.
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# Project-local paths can be relative to this repository root.
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RAG_OUTPUT_DIR=v15_output
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RAG_LEARNING_DIR=v14_learning
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METHODOLOGY_BATCH_DIR=data/evaluation/methodology_batch_llm
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BGE_RERANKER_ROOT=
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# External data/model roots. Fill these in locally when the resources exist.
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# PC_DATA_ROOT and PLANTAI_SPLIT_DATA_ROOT are intentionally separate.
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# This project does not deduplicate, merge, or rewrite those datasets.
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PLANTAI_SOURCE_ROOT=
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PC_DATA_ROOT=
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PLANTAI_SPLIT_DATA_ROOT=
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BBAV5_ROOT=
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BBAV5_CAPABILITY_CATALOG=
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BBAV5_REAL_JOB_ID=
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BBAV5_REAL_INPUT_DIR=
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BBAV5_REAL_WORKSPACE_DIR=
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BBAV5_PRIMARY_PAPER=
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BBAV5_RNASEQ_PAPER=
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FT_SPL_V15_RESULT=
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# Keep current environment names for now; only the conda install root is configurable.
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PLANTAI_CONDA_ROOT=
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PLANTAI_CONDA_PROFILE=
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PLANTAI_PROJECT_ROOT=
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PLANTAI_PYTHON=
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GF_PYTHON=
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GF_PYTHON_ENV=gfpy312
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MINERU_CONDA_ENV=minerupy312
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# MinerU runtime.
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MINERU_CMD=
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PLANTAI_TEST_PDF=
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MINERU_MODEL_SOURCE=modelscope
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CUDA_VISIBLE_DEVICES=
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TORCH_CUDNN_V8_API_DISABLED=1
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V15_MINERU_API_URL=http://127.0.0.1:50215
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V15_MINERU_BACKEND=pipeline
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V15_MINERU_METHOD=txt
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V15_MINERU_LANG=en
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V15_MINERU_USE_API=0
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# Optional: set to 0 to reduce GPU memory when running MinerU pipeline.
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V15_MINERU_FORMULA=
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V15_MINERU_TABLE=
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# LLM/VLM providers. Fill locally only.
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DEEPSEEK_API_KEY=
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DEEPSEEK_BASE_URL=https://api.deepseek.com
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DEEPSEEK_MODEL=deepseek-v4-flash
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DASHSCOPE_API_KEY=
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# Neo4j is optional unless use_neo4j=True.
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NEO4J_URI=bolt://localhost:7687
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NEO4J_USER=neo4j
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NEO4J_PASSWORD=
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NEO4J_DATABASE=neo4j
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# Optional service passwords for local Docker stacks.
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GF_SECURITY_ADMIN_PASSWORD=
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