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README.md
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<img src="figure/pipeline.jpg" alt="Norman_category" width="800">
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## System Requirements
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| Category | Specification |
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|----------|---------------|
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2. Deploy FDA plugin to connect FastGPT and Dify.
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3. Import the Norman dataset(knowledge_database_input_iupac.csv) into FastGPT, configure the application, and export the API key.
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4. Create a custom Schema tool on Dify and configure SQL invocation rules.
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5. Deploy Pubchemlite_exposomics(PubChemLite_exposomics_20251226.csv) and Invitrodb_v4.3 databases to local SQL and test query connectivity.
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6. Create a backend program(step1_pubchemlite_invitrodb_to_dify_en.py) to connect Dify and the SQL databases.
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### Inference Workflow
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1. Input the **IUPAC name** of the emerging contaminant into the Dify chat interface.
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<img src="figure/pipeline.jpg" alt="Norman_category" width="800">
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</div>
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## Compound Batch Query Tool (Desktop Version)
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For chemists/researchers to automate batch compound info retrieval from CSV files (default column: `IUPAC_name`). Outputs standardized CSVs, failure logs, and raw API records for analysis/debugging. Requires valid Dify API key and accessible backend.
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## System Requirements
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| Category | Specification |
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|----------|---------------|
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| 72 |
2. Deploy FDA plugin to connect FastGPT and Dify.
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| 73 |
3. Import the Norman dataset(knowledge_database_input_iupac.csv) into FastGPT, configure the application, and export the API key.
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| 74 |
4. Create a custom Schema tool on Dify and configure SQL invocation rules.
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| 75 |
+
5. Deploy Pubchemlite_exposomics (PubChemLite_exposomics_20251226.csv) and Invitrodb_v4.3 databases to local SQL and test query connectivity.
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| 76 |
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6. Create a backend program (step1_pubchemlite_invitrodb_to_dify_en.py) to connect Dify and the SQL databases.
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### Inference Workflow
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1. Input the **IUPAC name** of the emerging contaminant into the Dify chat interface.
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