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Browse files- main.py +56 -27
- tools/meta_yml_tools.py +44 -0
main.py
CHANGED
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@@ -1,5 +1,5 @@
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import gradio as gr
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-
from tools.meta_yml_tools import get_meta_yml_file, extract_tools_from_meta_json, extract_information_from_meta_json, extract_module_name_description
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from tools.bio_tools_tools import get_biotools_response, get_biotools_ontology
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from agents.query_ontology_db import agent
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import yaml
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@@ -90,7 +90,7 @@ def extract_format_terms_from_result(result):
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return [item for item in result if isinstance(item, str) and item.startswith('format_')]
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return []
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-
def create_progress_bar_html(progress, status,
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"""Create an animated progress bar HTML with nf-core styling"""
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# Determine progress bar color based on status
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@@ -150,7 +150,10 @@ def format_ontology_results_html(results, meta_yml):
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if value.get("type") == "file":
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input_info[key] = value.get("description", "No description available")
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-
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format_terms = extract_format_terms_from_result(result)
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description = input_info.get(input_name, "No description available")
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@@ -165,7 +168,6 @@ def format_ontology_results_html(results, meta_yml):
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if format_terms:
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for term in format_terms:
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term_id = term.replace("format_", "")
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link_url = f"http://edamontology.org/{term}"
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html_content += f"""
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<div class='ontology-card'>
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@@ -216,50 +218,77 @@ def run_multi_agent_with_logs(module_name, progress_callback=None):
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time.sleep(0.5)
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### FETCH ONTOLOGY TERMS FROM EDAM DATABASE ###
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# Count total file inputs
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-
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-
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for input_channel in meta_yml.get("input", []):
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for ch_element in input_channel:
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for key, value in ch_element.items():
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if value.get("type") == "file":
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-
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if progress_callback:
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progress_callback(100, "No file inputs found", "", 0, 0)
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formatted_results = format_ontology_results_html(results, meta_yml)
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return formatted_results, "tmp_meta.yml"
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-
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-
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for input_channel in meta_yml["input"]:
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for ch_element in input_channel:
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for key, value in ch_element.items():
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if value["type"] == "file":
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# Update progress BEFORE processing starts for this input
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if progress_callback:
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progress_callback(int((
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# This is where the agent runs - logs should be captured automatically
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result = agent.run(f"You are presentend with a file format for the input {key}, which is a file and is described by the following description: '{value['description']}', search for the best matches out of possible matches in the edam ontology (formated as format_XXXX), and return the answer (a list of ontology classes) in a final_answer call such as final_answer([format_XXXX, format_XXXX, ...])")
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results["input"][key] = result
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-
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format_terms = extract_format_terms_from_result(result)
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# Update progress AFTER processing completes for this input
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-
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progress = int((
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if progress_callback:
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progress_callback(progress, f"Completed analysis of input: {key}", key,
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if progress_callback:
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progress_callback(100, "Analysis complete! Generating results...", "",
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### UPDATE META.YML FILE ADDING ONTOLOGIES AND RETURN THE ANSWER ###
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with open("tmp_meta.yml", "w") as fh:
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-
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except Exception as e:
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if progress_callback:
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@@ -276,12 +305,12 @@ def stream_logs_and_run_agent(module_name):
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# Start the agent in a separate thread
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result_container = {"ontology_output": None, "file_output": None, "error": None}
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progress_container = {"progress": 0, "status": "Initializing...", "
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def progress_callback(progress, status,
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progress_container["progress"] = progress
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progress_container["status"] = status
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progress_container["
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progress_container["current_count"] = current_count
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progress_container["total_count"] = total_count
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@@ -314,7 +343,7 @@ def stream_logs_and_run_agent(module_name):
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progress_html = create_progress_bar_html(
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progress_container["progress"],
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progress_container["status"],
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progress_container["
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progress_container["current_count"],
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progress_container["total_count"]
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)
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@@ -329,7 +358,7 @@ def stream_logs_and_run_agent(module_name):
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progress_html = create_progress_bar_html(
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progress_container["progress"],
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progress_container["status"],
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progress_container["
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progress_container["current_count"],
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progress_container["total_count"]
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)
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import gradio as gr
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from tools.meta_yml_tools import get_meta_yml_file, extract_tools_from_meta_json, extract_information_from_meta_json, extract_module_name_description, update_meta_yml
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from tools.bio_tools_tools import get_biotools_response, get_biotools_ontology
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from agents.query_ontology_db import agent
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import yaml
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return [item for item in result if isinstance(item, str) and item.startswith('format_')]
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return []
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def create_progress_bar_html(progress, status, current_files, current_count=0, total_count=0):
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"""Create an animated progress bar HTML with nf-core styling"""
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# Determine progress bar color based on status
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if value.get("type") == "file":
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input_info[key] = value.get("description", "No description available")
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final = {}
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final.update(results["input"])
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final.update(results["output"])
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for input_name, result in final.items():
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format_terms = extract_format_terms_from_result(result)
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description = input_info.get(input_name, "No description available")
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if format_terms:
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for term in format_terms:
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link_url = f"http://edamontology.org/{term}"
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html_content += f"""
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<div class='ontology-card'>
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time.sleep(0.5)
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### FETCH ONTOLOGY TERMS FROM EDAM DATABASE ###
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# Count total file inputs + outputs
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total_files = 0
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file = []
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for input_channel in meta_yml.get("input", []):
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for ch_element in input_channel:
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for key, value in ch_element.items():
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if value.get("type") == "file":
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total_files += 1
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file.append((key, value))
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for output in meta_yml.get("output", []):
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for key, output_channel in output.items():
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for out_element in output_channel:
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for element_name, value in out_element.items():
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if value["type"] == "file" and element_name != "versions.yml":
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total_files += 1
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file.append((key, value))
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if total_files == 0:
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if progress_callback:
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progress_callback(100, "No file inputs found", "", 0, 0)
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formatted_results = format_ontology_results_html(results, meta_yml)
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return formatted_results, "tmp_meta.yml"
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current_files = 0
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#inputs
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for input_channel in meta_yml["input"]:
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for ch_element in input_channel:
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for key, value in ch_element.items():
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if value["type"] == "file":
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# Update progress BEFORE processing starts for this input
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if progress_callback:
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progress_callback(int((current_files / total_files) * 100), f"Starting analysis of input: {key}", key, current_files, total_files)
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# This is where the agent runs - logs should be captured automatically
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result = agent.run(f"You are presentend with a file format for the input {key}, which is a file and is described by the following description: '{value['description']}', search for the best matches out of possible matches in the edam ontology (formated as format_XXXX), and return the answer (a list of ontology classes) in a final_answer call such as final_answer([format_XXXX, format_XXXX, ...])")
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results["input"][key] = result
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# Update progress AFTER processing completes for this input
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current_files += 1
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progress = int((current_files / total_files) * 100)
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if progress_callback:
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progress_callback(progress, f"Completed analysis of input: {key}", key, current_files, total_files)
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#outputs
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for output in meta_yml.get("output", []):
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for key, output_channel in output.items():
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for out_element in output_channel:
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for element_name, value in out_element.items():
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if value["type"] == "file" and element_name != "versions.yml":
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# Update progress BEFORE processing starts for this output
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if progress_callback:
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progress_callback(int((current_files / total_files) * 100), f"Starting analysis of output: {key}", key, current_files, total_files)
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# This is where the agent runs - logs should be captured automatically
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result = agent.run(f"You are presentend with a file format for the output '{element_name}', which is a file and is described by the following description: '{value['description']}', search for the best matches out of possible matches in the edam ontology (formated as format_XXXX), and return the answer (a list of ontology classes) in a final_answer call such as final_answer([format_XXXX, format_XXXX, ...]). The output name {key} can also give you more information.")
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results["output"][key] = result
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# Update progress AFTER processing completes for this output
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current_files += 1
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progress = int((current_files / total_files) * 100)
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if progress_callback:
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progress_callback(progress, f"Completed analysis of output: {key}", key, current_files, total_files)
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if progress_callback:
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progress_callback(100, "Analysis complete! Generating results...", "", total_files, total_files)
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### UPDATE META.YML FILE ADDING ONTOLOGIES AND RETURN THE ANSWER ###
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with open("tmp_meta.yml", "w") as fh:
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updated_meta_yml = update_meta_yml(results["input"], results["output"], meta_yml)
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yaml.dump(updated_meta_yml, fh)
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except Exception as e:
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if progress_callback:
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# Start the agent in a separate thread
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result_container = {"ontology_output": None, "file_output": None, "error": None}
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progress_container = {"progress": 0, "status": "Initializing...", "current_files": "", "current_count": 0, "total_count": 0}
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def progress_callback(progress, status, current_files, current_count=0, total_count=0):
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progress_container["progress"] = progress
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progress_container["status"] = status
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progress_container["current_files"] = current_files
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progress_container["current_count"] = current_count
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progress_container["total_count"] = total_count
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progress_html = create_progress_bar_html(
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progress_container["progress"],
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progress_container["status"],
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progress_container["current_files"],
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progress_container["current_count"],
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progress_container["total_count"]
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)
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progress_html = create_progress_bar_html(
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progress_container["progress"],
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progress_container["status"],
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progress_container["current_files"],
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progress_container["current_count"],
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progress_container["total_count"]
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)
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tools/meta_yml_tools.py
CHANGED
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@@ -104,3 +104,47 @@ def extract_information_from_meta_json(meta_file: dict, tool_name: str) -> dict:
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print("Extracted metadata information from nf-core module meta.yml")
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return {"inputs": inputs, "outputs": outputs, "homepage": homepage_url, "documentation": documentation_rul, "bio_tools_id": bio_tools_id}
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print("Extracted metadata information from nf-core module meta.yml")
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return {"inputs": inputs, "outputs": outputs, "homepage": homepage_url, "documentation": documentation_rul, "bio_tools_id": bio_tools_id}
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def update_meta_yml(input_ontologies: dict, output_ontologies: dict, meta_yml:dict) -> dict:
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"""
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Update the meta.yml file with the final obtained ontologies
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Args:
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input_ontologies (dict): The final ontologies for inputs.
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The dictionary contains the name of the file as key and a list of ontologies as value.
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output_ontologies (dict): The final ontologies for outputs.
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The dictionary contains the name of the file as key and a list of ontologies as value.
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meta_yml (dict): The original meta.yml file content to be modified
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Returns:
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(dict): The updated meta.yml file
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"""
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# Format ontology links
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def format_ontology_links(ontology_dict):
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for key in ontology_dict.keys():
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updated_list = []
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for format in ontology_dict[key]:
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updated_list.append({"edam": f"http://edamontology.org/{format}"})
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ontology_dict[key] = updated_list
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return ontology_dict
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input_ontologies = format_ontology_links(input_ontologies)
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output_ontologies = format_ontology_links(output_ontologies)
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# inputs
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for i, input_ch in enumerate(meta_yml["input"]):
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for j, ch_element in enumerate(input_ch):
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for key, value in ch_element.items():
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if key in input_ontologies:
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try:
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meta_yml["input"][i][j][key]["ontologies"].append(input_ontologies[key])
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except KeyError:
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meta_yml["input"][i][j][key]["ontologies"] = input_ontologies[key]
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# outputs
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for i, output in enumerate(meta_yml["output"]):
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for key, output_channel in output.items():
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for j, out_element in enumerate(output_channel):
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for element_name, value in out_element.items():
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if element_name in output_ontologies:
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try:
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meta_yml["output"][i][key][j][element_name]["ontologies"].append(output_ontologies[element_name])
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except KeyError:
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meta_yml["output"][i][key][j][element_name]["ontologies"] = output_ontologies[element_name]
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return meta_yml
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