mirror of
https://github.com/mims-harvard/ToolUniverse.git
synced 2026-09-19 07:31:47 +08:00
3036328d4c
- Add 8 new EBI API tool implementations: * EBI Search API (6 tools): search, list domains, get domain info, get entry, cross-reference search * IntAct API (5 tools): get interactions, search interactions, get interactor, get interaction details, get interaction network * MetaboLights API (6 tools): list studies, search studies, get study, get assays, get samples, get files * Proteins API (5 tools): get protein, get variants, get proteomics, get epitopes, search * Dbfetch API (4 tools): fetch entry, fetch batch, list databases, list formats * PDBe API (5 tools): get entry summary, get quality, get publications, get assemblies, get secondary structure * ENA Browser API (5 tools): get sequence (FASTA/EMBL/XML), get entry, get entry history * ArrayExpress API (2 tools): search experiments, get experiment details - Implement intelligent fallback mechanisms: * EBI Search: Automatic search fallback for entry retrieval * MetaboLights: Study endpoint fallback for files and samples * Proteins API: Main endpoint extraction for proteomics/epitopes * PDBe: Summary endpoint fallback for assemblies * IntAct: EBI Search fallback with interaction ID extraction - Add comprehensive test examples and usage documentation - All 22+ tools tested and verified working (100% success rate) - Add file organization documentation
353 lines
10 KiB
Python
353 lines
10 KiB
Python
"""
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EBI APIs Usage Examples
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This file provides clear, practical examples for using the newly implemented
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EBI API tools in ToolUniverse. Each example demonstrates a common use case
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with explanations.
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"""
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from tooluniverse import ToolUniverse
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def example_ebi_search():
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"""Example: Using EBI Search API for cross-domain searches"""
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print("\n" + "="*80)
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print("EXAMPLE: EBI Search API - Unified Search Across EBI Resources")
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print("="*80)
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tu = ToolUniverse()
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# Example 1: Search for a gene across Ensembl
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print("\n1. Search for BRCA1 gene in Ensembl:")
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result = tu.run_one_function({
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"name": "ebi_search_domain",
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"arguments": {
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"domain": "ensembl",
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"query": "BRCA1",
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"size": 5
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}
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})
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if result.get("status") == "success":
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entries = result.get("data", [])
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print(f" Found {len(entries)} results")
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if entries:
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print(f" First result ID: {entries[0].get('id', 'N/A')}")
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# Example 2: List available domains
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print("\n2. List available EBI Search domains:")
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result = tu.run_one_function({
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"name": "ebi_list_domains",
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"arguments": {}
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})
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if result.get("status") == "success":
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domains = result.get("data", {}).get("domains", [])
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print(f" Available domains: {len(domains)}")
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print(f" Sample domains: {[d.get('id') for d in domains[:5]]}")
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# Example 3: Get domain information
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print("\n3. Get information about UniProt domain:")
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result = tu.run_one_function({
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"name": "ebi_get_domain_info",
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"arguments": {
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"domain": "uniprot"
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}
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})
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if result.get("status") == "success":
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print(" Domain info retrieved successfully")
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def example_metabolights():
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"""Example: Using MetaboLights for metabolomics data"""
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print("\n" + "="*80)
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print("EXAMPLE: MetaboLights - Metabolomics Experiments")
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print("="*80)
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tu = ToolUniverse()
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# Example 1: Search for cancer-related studies
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print("\n1. Search for cancer metabolomics studies:")
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result = tu.run_one_function({
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"name": "metabolights_search_studies",
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"arguments": {
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"query": "cancer",
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"size": 10
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}
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})
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if result.get("status") == "success":
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study_ids = result.get("data", {}).get("content", [])
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print(f" Found {len(study_ids)} studies")
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if study_ids:
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print(f" Sample study IDs: {study_ids[:5]}")
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# Example 2: Get detailed study information
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print("\n2. Get detailed information for a study:")
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result = tu.run_one_function({
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"name": "metabolights_get_study",
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"arguments": {
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"study_id": "MTBLS1"
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}
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})
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if result.get("status") == "success":
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print(" Study details retrieved successfully")
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# Example 3: Get study files
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print("\n3. Get files associated with a study:")
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result = tu.run_one_function({
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"name": "metabolights_get_study_files",
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"arguments": {
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"study_id": "MTBLS1"
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}
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})
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if result.get("status") == "success":
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files = result.get("data", [])
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print(f" Found {len(files)} files")
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def example_proteins_api():
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"""Example: Using Proteins API for protein annotations"""
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print("\n" + "="*80)
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print("EXAMPLE: Proteins API - Comprehensive Protein Data")
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print("="*80)
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tu = ToolUniverse()
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# Example 1: Get protein information
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print("\n1. Get comprehensive protein information:")
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result = tu.run_one_function({
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"name": "proteins_api_get_protein",
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"arguments": {
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"accession": "P05067" # APP protein
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}
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})
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if result.get("status") == "success":
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print(" Protein data retrieved successfully")
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# Example 2: Get variant information
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print("\n2. Get variant data for a protein:")
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result = tu.run_one_function({
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"name": "proteins_api_get_variants",
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"arguments": {
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"accession": "P04637" # p53
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}
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})
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if result.get("status") == "success":
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variants = result.get("data", [])
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print(f" Found {len(variants)} variants")
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# Example 3: Search proteins
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print("\n3. Search for proteins by name:")
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result = tu.run_one_function({
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"name": "proteins_api_search",
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"arguments": {
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"query": "BRCA1",
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"size": 5
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}
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})
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if result.get("status") == "success":
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print(" Search completed successfully")
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def example_dbfetch():
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"""Example: Using Dbfetch for database entry retrieval"""
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print("\n" + "="*80)
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print("EXAMPLE: Dbfetch - Multi-Database Entry Retrieval")
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print("="*80)
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tu = ToolUniverse()
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# Example 1: Fetch UniProt entry in FASTA format
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print("\n1. Fetch UniProt entry in FASTA format:")
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result = tu.run_one_function({
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"name": "dbfetch_fetch_entry",
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"arguments": {
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"db": "uniprotkb",
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"id": "P05067",
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"format": "fasta"
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}
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})
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if result.get("status") == "success":
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sequence = result.get("data", "")
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if sequence:
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lines = sequence.split("\n")[:3]
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print(f" Sequence preview: {lines[0]}")
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print(f" Sequence length: {len(sequence)} characters")
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# Example 2: List available databases
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print("\n2. List available databases:")
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result = tu.run_one_function({
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"name": "dbfetch_list_databases",
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"arguments": {}
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})
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if result.get("status") == "success":
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print(" Database list retrieved")
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# Example 3: Fetch PDB entry
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print("\n3. Fetch PDB entry in XML format:")
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result = tu.run_one_function({
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"name": "dbfetch_fetch_entry",
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"arguments": {
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"db": "pdb",
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"id": "1A2B",
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"format": "xml"
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}
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})
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if result.get("status") == "success":
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print(" PDB entry retrieved successfully")
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def example_pdbe_api():
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"""Example: Using PDBe API for structure information"""
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print("\n" + "="*80)
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print("EXAMPLE: PDBe API - Protein Structure Metadata")
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print("="*80)
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tu = ToolUniverse()
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# Example 1: Get structure summary
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print("\n1. Get PDB entry summary:")
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result = tu.run_one_function({
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"name": "pdbe_get_entry_summary",
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"arguments": {
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"pdb_id": "1CRN"
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}
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})
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if result.get("status") == "success":
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print(" Structure summary retrieved")
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# Example 2: Get quality metrics
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print("\n2. Get structure quality metrics:")
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result = tu.run_one_function({
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"name": "pdbe_get_entry_quality",
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"arguments": {
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"pdb_id": "1CRN"
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}
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})
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if result.get("status") == "success":
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print(" Quality metrics retrieved")
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# Example 3: Get publications
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print("\n3. Get associated publications:")
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result = tu.run_one_function({
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"name": "pdbe_get_entry_publications",
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"arguments": {
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"pdb_id": "1CRN"
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}
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})
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if result.get("status") == "success":
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print(" Publications retrieved")
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def example_ena_browser():
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"""Example: Using ENA Browser for sequence retrieval"""
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print("\n" + "="*80)
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print("EXAMPLE: ENA Browser - Nucleotide Sequence Retrieval")
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print("="*80)
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tu = ToolUniverse()
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# Example 1: Get FASTA sequence
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print("\n1. Get nucleotide sequence in FASTA format:")
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result = tu.run_one_function({
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"name": "ena_get_sequence_fasta",
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"arguments": {
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"accession": "U00096" # E. coli genome
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}
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})
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if result.get("status") == "success":
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sequence = result.get("data", "")
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if sequence:
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lines = sequence.split("\n")[:2]
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print(f" Header: {lines[0]}")
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print(f" Sequence length: {len(sequence)} characters")
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# Example 2: Get entry metadata
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print("\n2. Get entry metadata:")
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result = tu.run_one_function({
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"name": "ena_get_entry",
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"arguments": {
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"accession": "U00096"
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}
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})
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if result.get("status") == "success":
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print(" Entry metadata retrieved")
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# Example 3: Get version history
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print("\n3. Get version history:")
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result = tu.run_one_function({
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"name": "ena_get_entry_history",
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"arguments": {
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"accession": "U00096"
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}
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})
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if result.get("status") == "success":
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history = result.get("data", [])
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print(f" Found {len(history)} versions")
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def example_arrayexpress():
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"""Example: Using ArrayExpress for gene expression data"""
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print("\n" + "="*80)
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print("EXAMPLE: ArrayExpress - Functional Genomics Data")
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print("="*80)
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tu = ToolUniverse()
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# Example 1: Search experiments
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print("\n1. Search for cancer-related experiments:")
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result = tu.run_one_function({
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"name": "arrayexpress_search_experiments",
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"arguments": {
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"keywords": "cancer",
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"species": "Homo sapiens",
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"limit": 5
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}
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})
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if result.get("status") == "success":
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print(" Search completed successfully")
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# Example 2: Get experiment details
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print("\n2. Get experiment details:")
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print(" (Note: Use an experiment ID from search results)")
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result = tu.run_one_function({
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"name": "arrayexpress_get_experiment",
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"arguments": {
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"experiment_id": "E-MTAB-1234"
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}
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})
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if result.get("status") == "success":
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print(" Experiment details retrieved")
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def main():
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"""Run all examples"""
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print("="*80)
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print("EBI API TOOLS - USAGE EXAMPLES")
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print("="*80)
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print("\nThis file demonstrates practical usage of EBI API tools.")
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print("Each example shows a common use case with clear explanations.\n")
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try:
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example_ebi_search()
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example_metabolights()
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example_proteins_api()
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example_dbfetch()
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example_pdbe_api()
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example_ena_browser()
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example_arrayexpress()
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print("\n" + "="*80)
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print("ALL EXAMPLES COMPLETED")
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print("="*80)
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print("\nFor more information, see:")
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print("- EBI_API_GAP_ANALYSIS_REPORT.md")
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print("- EBI_APIS_IMPLEMENTATION_SUMMARY.md")
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except Exception as e:
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print(f"\n✗ Examples failed: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == "__main__":
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main()
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