diff --git a/constants.py b/constants.py
index 5aaf27d31f66a390f6ceb2d3cd05974991029430..cfe86b22d2382968a7cf23e3e0e2b7078b2a8c0b 100644
--- a/constants.py
+++ b/constants.py
@@ -1,3 +1,6 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
# Constants used in the input yaml
ORG_PARAM_NAME = "name"
ORG_PARAM_DESC = "description"
@@ -24,7 +27,6 @@ ORG_PARAM_SERVICES = "services"
ORG_PARAM_SERVICES_BLAST = "blast"
ORG_PARAM_SERVICES_GO = "go"
-
# Constants used in the config yaml file
CONF_ALL_HOSTNAME = "hostname"
CONF_ALL_HTTP_PORT = "http_port"
@@ -45,12 +47,23 @@ CONF_TRIPAL_THEME_NAME = "tripal_theme_name"
CONF_TRIPAL_THEME_GIT_CLONE = "tripal_theme_git_clone"
CONF_JBROWSE_MENU_URL = "jbrowse_menu_url"
+# Data
+FILENAME_SUFFIX_TRANSCRIPTS = "transcripts_gff.fasta"
+FILENAME_SUFFIX_PROTEINS = "proteins.fasta"
+FILENAME_SUFFIX_INTERPRO = "interproscan.xml"
+FILENAME_SUFFIX_BLASTP = "diamond_blastp_vs_uniref90.xml" # Temporary constant: this value should be in the organism input file
+FILENAME_SUFFIX_BLASTX = "diamond_blastx_vs_uniref90.xml" # Temporary constant: this value should be in the organism input file
+FILENAME_SUFFIX_ORTHOFINDER = "orthologous_one2one_vs_Ec32.tsv" # Temporary constant: this value should be in the organism input file
+DATA_DATE = "2021-02-24" # Temporary constant: this value should be in the organism input file, for each data
+
# default config file
DEFAULT_CONFIG = "examples/config"
+# Galaxy tools
GET_ORGANISMS_TOOL = "toolshed.g2.bx.psu.edu/repos/gga/chado_organism_get_organisms/organism_get_organisms/2.3.4+galaxy0"
DELETE_ORGANISMS_TOOL = "toolshed.g2.bx.psu.edu/repos/gga/chado_organism_delete_organisms/organism_delete_organisms/2.3.4+galaxy0"
+# Galaxy library
HOST_DATA_DIR='src_data'
CONTAINER_DATA_DIR_ROOT='/project_data'
GALAXY_LIBRARY_NAME = 'Project Data'
diff --git a/gga_get_data.py b/gga_get_data.py
index 992e5c6c46f59d0bfdd2cecf14f99d3be21f0a95..f46d73303434c1adf7dbd9df1c9b3f2482c6d8fc 100755
--- a/gga_get_data.py
+++ b/gga_get_data.py
@@ -101,7 +101,7 @@ class GetData(speciesData.SpeciesData):
for k, v in genome_datasets.items():
if v: # If dataset is not present in input file, skip copy
logging.info("Copying {0} ({1}) into {2}".format(k, v, organism_genome_dir))
- genome_fname = "{0}_v{1}.fasta".format(self.dataset_prefix, self.genome_version)
+ genome_fname = self.genome_filename
try:
shutil.copyfile(os.path.abspath(v), os.path.join(organism_genome_dir, genome_fname))
except Exception as exc:
@@ -111,19 +111,19 @@ class GetData(speciesData.SpeciesData):
if v: # If dataset is not present in input file, skip copy
dataset_fname = ""
if k == constants.ORG_PARAM_DATA_GFF_PATH:
- dataset_fname = "{0}_OGS{1}_{2}.gff".format(self.dataset_prefix, self.ogs_version, self.get_last_modified_time_string(os.path.abspath(v)))
+ dataset_fname = self.gff_filename
elif k == constants.ORG_PARAM_DATA_TRANSCRIPTS_PATH:
- dataset_fname = "{0}_OGS{1}_transcripts.fasta".format(self.dataset_prefix, self.ogs_version)
+ dataset_fname = self.transcripts_filename
elif k == constants.ORG_PARAM_DATA_PROTEINS_PATH:
- dataset_fname = "{0}_OGS{1}_proteins.fasta".format(self.dataset_prefix, self.ogs_version)
+ dataset_fname = self.proteins_filename
elif k == constants.ORG_PARAM_DATA_ORTHOFINDER_PATH:
- dataset_fname = "{0}_OGS{1}_orthofinder.tsv".format(self.dataset_prefix, self.ogs_version)
+ dataset_fname = self.orthofinder_filename
elif k == constants.ORG_PARAM_DATA_INTERPRO_PATH:
- dataset_fname = "{0}_OGS{1}_interproscan.xml".format(self.dataset_prefix, self.ogs_version)
+ dataset_fname = self.interpro_filename
elif k == constants.ORG_PARAM_DATA_BLASTP_PATH:
- dataset_fname = "{0}_OGS{1}_blastp.xml".format(self.dataset_prefix, self.ogs_version)
+ dataset_fname = self.blastp_filename
elif k == constants.ORG_PARAM_DATA_BLASTX_PATH:
- dataset_fname = "{0}_OGS{1}_blastx.xml".format(self.dataset_prefix, self.ogs_version)
+ dataset_fname = self.blastx_filename
logging.info("Copying {0} ({1}) into {2}".format(k, v, organism_annotation_dir))
try:
shutil.copyfile(os.path.abspath(v), os.path.join(organism_annotation_dir, dataset_fname))
diff --git a/phaoexplorer_constants.py b/phaoexplorer_constants.py
index 229b216d6f0267af1f69e84ff0c5fb45f75548f8..68d6c88398a215b88887c748ecedb58257f68fc1 100644
--- a/phaoexplorer_constants.py
+++ b/phaoexplorer_constants.py
@@ -1,3 +1,8 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import constants
+
### Workflows
WORKFLOW_LOAD_FASTA_GFF_JBROWSE = "load_fasta_gff_jbrowse"
@@ -17,7 +22,7 @@ ADD_ANALYSIS_TOOL_VERSION = "2.3.4+galaxy0"
ADD_ANALYSIS_TOOL_ID= ADD_ANALYSIS_TOOL_NAME + ADD_ANALYSIS_TOOL_VERSION
ADD_ANALYSIS_TOOL_CHANGESET_REVISION = "10b2b1c70e69"
ADD_ANALYSIS_TOOL_PARAM_PROGRAM = "Performed by Genoscope"
-ADD_ANALYSIS_TOOL_PARAM_DATE = "2021-02-24"
+ADD_ANALYSIS_TOOL_PARAM_DATE = constants.DATA_DATE
GET_ORGANISMS_TOOL_NAME = "toolshed.g2.bx.psu.edu/repos/gga/chado_organism_get_organisms/organism_get_organisms/"
GET_ORGANISMS_TOOL_VERSION = "2.3.4+galaxy0"
diff --git a/run_workflow_phaeoexplorer.py b/run_workflow_phaeoexplorer.py
index 4928e73207940f0fee9c164819e77c5cf7eb6153..1193b9516928cc77b25b20ae63cceba975fbf470 100755
--- a/run_workflow_phaeoexplorer.py
+++ b/run_workflow_phaeoexplorer.py
@@ -24,6 +24,13 @@ gga_init.py
Usage: $ python3 gga_init.py -i input_example.yml --config [config file] [OPTIONS]
"""
+class RunWorkflowParam:
+
+ def __init__(self, genus_species, strain_sex, attributes_dict):
+ self.genus_species = genus_species
+ self.strain_sex = strain_sex
+ self.param_dict = attributes_dict
+
class RunWorkflow(speciesData.SpeciesData):
"""
Run a workflow into the galaxy instance's history of a given species
@@ -108,8 +115,6 @@ class RunWorkflow(speciesData.SpeciesData):
:return:
"""
- self.set_galaxy_instance()
-
logging.info("Validating installed individual tools versions and changesets")
# Verify that the add_organism and add_analysis versions are correct in the instance
@@ -514,7 +519,6 @@ class RunWorkflow(speciesData.SpeciesData):
return invocation_report
-
def import_datasets_into_history(self):
"""
Find datasets in a library, get their ID and import them into the current history if they are not already
@@ -541,99 +545,100 @@ class RunWorkflow(speciesData.SpeciesData):
for folder_name, folder_id in folders_id_dict.items():
if folder_name == "/genome/{0}/v{1}".format(self.species_folder_name, self.genome_version):
sub_folder_content = self.instance.folders.show_folder(folder_id=folder_id, contents=True)
- for k2, v2 in sub_folder_content.items():
- for e in v2:
+ for value in sub_folder_content.values():
+ for e in value:
if type(e) == dict:
- if e["name"].endswith(".fasta"):
- self.datasets["genome_file"] = e["ldda_id"]
- self.datasets_name["genome_file"] = e["name"]
+ if e["name"].endswith(self.genome_filename):
+ genome_ldda_id = e["ldda_id"]
if folder_name == "/annotation/{0}/OGS{1}".format(self.species_folder_name, self.ogs_version):
sub_folder_content = self.instance.folders.show_folder(folder_id=folder_id, contents=True)
- for k2, v2 in sub_folder_content.items():
- for e in v2:
+ for value in sub_folder_content.values():
+ for e in value:
if type(e) == dict:
- if "transcripts" in e["name"]:
- self.datasets["transcripts_file"] = e["ldda_id"]
- self.datasets_name["transcripts_file"] = e["name"]
- elif "proteins" in e["name"]:
- self.datasets["proteins_file"] = e["ldda_id"]
- self.datasets_name["proteins_file"] = e["name"]
- elif "gff" in e["name"]:
- self.datasets["gff_file"] = e["ldda_id"]
- self.datasets_name["gff_file"] = e["name"]
- elif "interpro" in e["name"]:
- self.datasets["interproscan_file"] = e["ldda_id"]
- self.datasets_name["interproscan_file"] = e["name"]
- elif "blastp" in e["name"]:
- self.datasets["blastp_file"] = e["ldda_id"]
- self.datasets_name["blastp_file"] = e["name"]
-
-
- history_datasets_li = self.instance.datasets.get_datasets()
+ ldda_name = e["name"]
+ ldda_id = e["ldda_id"]
+ if ldda_name.endswith(self.transcripts_filename):
+ transcripts_ldda_id = ldda_id
+ elif ldda_name.endswith(self.proteins_filename):
+ proteins_ldda_id = ldda_id
+ elif ldda_name.endswith(self.gff_filename):
+ gff_ldda_id = ldda_id
+ elif ldda_name.endswith(self.interpro_filename):
+ interpro_ldda_id = ldda_id
+ elif ldda_name.endswith(self.blastp_filename):
+ blastp_ldda_id = ldda_id
+ elif ldda_name.endswith(self.blastx_filename):
+ blastx_ldda_id = ldda_id
+
+ hda_list = self.instance.datasets.get_datasets(self.history_id)
genome_hda_id, gff_hda_id, transcripts_hda_id, proteins_hda_id, blastp_hda_id, interproscan_hda_id = None, None, None, None, None, None
-
# Finding datasets in history (matching datasets names)
- for dataset in history_datasets_li:
- dataset_name = dataset["name"]
- dataset_id = dataset["id"]
- if dataset_name == "{0}_v{1}.fasta".format(self.dataset_prefix, self.genome_version):
- genome_hda_id = dataset_id
- if dataset_name == "{0}_OGS{1}_{2}.gff".format(self.dataset_prefix, self.ogs_version, self.date):
- gff_hda_id = dataset_id
- if dataset_name == "{0}_OGS{1}_transcripts.fasta".format(self.dataset_prefix, self.ogs_version):
- transcripts_hda_id = dataset_id
- if dataset_name == "{0}_OGS{1}_proteins.fasta".format(self.dataset_prefix, self.ogs_version):
- proteins_hda_id = dataset_id
- if dataset_name == "{0}_OGS{1}_blastp.xml".format(self.dataset_prefix, self.ogs_version):
- blastp_hda_id = dataset_id
- if dataset_name == "{0}_OGS{1}_interproscan.xml".format(self.dataset_prefix, self.ogs_version):
- interproscan_hda_id = dataset_id
+ for hda in hda_list:
+ hda_name = hda["name"]
+ hda_id = hda["id"]
+ if hda_name == self.genome_filename:
+ genome_hda_id = hda_id
+ if hda_name == self.gff_filename:
+ gff_hda_id = hda_id
+ if hda_name == self.transcripts_filename:
+ transcripts_hda_id = hda_id
+ if hda_name == self.proteins_filename :
+ proteins_hda_id = hda_id
+ if hda_name == self.blastp_filename:
+ blastp_hda_id = hda_id
+ if hda_name == self.blastx_filename:
+ blastx_hda_id = hda_id
+ if hda_name == self.interpro_filename:
+ interproscan_hda_id = hda_id
-
# Import each dataset into history if it is not imported
logging.debug("Uploading datasets into history %s" % self.history_id)
if genome_hda_id is None:
- genome_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["genome_file"])
+ genome_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=genome_ldda_id)
genome_hda_id = genome_dataset_upload["id"]
if gff_hda_id is None:
- gff_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["gff_file"])
+ gff_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=gff_ldda_id)
gff_hda_id = gff_dataset_upload["id"]
- if transcripts_hda_id is None:
- transcripts_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["transcripts_file"])
- transcripts_hda_id = transcripts_dataset_upload["id"]
if proteins_hda_id is None:
- proteins_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["proteins_file"])
+ proteins_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=proteins_ldda_id)
proteins_hda_id = proteins_dataset_upload["id"]
+ if transcripts_hda_id is None:
+ transcripts_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=transcripts_ldda_id)
+ transcripts_hda_id = transcripts_dataset_upload["id"]
if interproscan_hda_id is None:
try:
- interproscan_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["interproscan_file"])
+ interproscan_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=interpro_ldda_id)
interproscan_hda_id = interproscan_dataset_upload["id"]
except Exception as exc:
logging.debug("Interproscan file not found in library (history: {0})".format(self.history_id))
if blastp_hda_id is None:
try:
- blastp_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["blastp_file"])
+ blastp_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=blastp_ldda_id)
blastp_hda_id = blastp_dataset_upload["id"]
except Exception as exc:
logging.debug("blastp file not found in library (history: {0})".format(self.history_id))
+ if blastx_hda_id is None:
+ try:
+ blastx_dataset_upload = self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=blastx_ldda_id)
+ blastx_hda_id = blastx_dataset_upload["id"]
+ except Exception as exc:
+ logging.debug("blastp file not found in library (history: {0})".format(self.history_id))
+
+ hda_ids = {"genome_hda_id": genome_hda_id,
+ "gff_hda_id": gff_hda_id,
+ "transcripts_hda_id": transcripts_hda_id,
+ "proteins_hda_id": proteins_hda_id,
+ "blastp_hda_id": blastp_hda_id,
+ "blastx_hda_id": blastx_hda_id,
+ "interproscan_hda_id": interproscan_hda_id}
# logging.debug("History dataset IDs (hda_id) for %s:" % self.full_name)
- # logging.debug({"genome_hda_id": genome_hda_id,
- # "gff_hda_id": gff_hda_id,
- # "transcripts_hda_id": transcripts_hda_id,
- # "proteins_hda_id": proteins_hda_id,
- # "blastp_hda_id": blastp_hda_id,
- # "interproscan_hda_id": interproscan_hda_id})
+ # logging.debug(hda_ids)
# Return a dict made of the hda ids
- return {"genome_hda_id": genome_hda_id,
- "gff_hda_id": gff_hda_id,
- "transcripts_hda_id": transcripts_hda_id,
- "proteins_hda_id": proteins_hda_id,
- "blastp_hda_id": blastp_hda_id,
- "interproscan_hda_id": interproscan_hda_id}
+ return hda_ids
def run_workflow(workflow_path, workflow_parameters, datamap, config, input_species_number):
"""
@@ -693,16 +698,19 @@ def run_workflow(workflow_path, workflow_parameters, datamap, config, input_spec
-def create_sp_workflow_dict(sp_dict, main_dir, config, workflow_type):
+def get_sp_workflow_param(sp_dict, main_dir, config, workflow_type):
"""
"""
- sp_workflow_dict = {}
run_workflow_for_current_organism = RunWorkflow(parameters_dictionary=sp_dict)
# Verifying the galaxy container is running
- if utilities.check_galaxy_state(network_name=run_workflow_for_current_organism.genus_species,
+ if not utilities.check_galaxy_state(network_name=run_workflow_for_current_organism.genus_species,
script_dir=run_workflow_for_current_organism.script_dir):
+ logging.critical("The galaxy container for %s is not ready yet!" % run_workflow_for_current_organism.genus_species)
+ sys.exit()
+
+ else:
# Setting some of the instance attributes
run_workflow_for_current_organism.main_dir = main_dir
@@ -717,13 +725,12 @@ def create_sp_workflow_dict(sp_dict, main_dir, config, workflow_type):
run_workflow_for_current_organism.config[constants.CONF_ALL_HTTP_PORT],
run_workflow_for_current_organism.genus_species)
+ run_workflow_for_current_organism.set_galaxy_instance()
+ history_id = run_workflow_for_current_organism.set_history()
+ run_workflow_for_current_organism.install_changesets_revisions_for_individual_tools()
if workflow_type == phaoexplorer_constants.WORKFLOW_LOAD_FASTA_GFF_JBROWSE:
- run_workflow_for_current_organism.set_galaxy_instance()
- history_id = run_workflow_for_current_organism.set_history()
- run_workflow_for_current_organism.install_changesets_revisions_for_individual_tools()
-
analyses_dict_list = run_workflow_for_current_organism.get_analyses()
org_id = run_workflow_for_current_organism.add_organism_and_sync()
@@ -743,7 +750,7 @@ def create_sp_workflow_dict(sp_dict, main_dir, config, workflow_type):
hda_ids = run_workflow_for_current_organism.import_datasets_into_history()
# Create the dictionary holding all attributes needed to connect to the galaxy instance
- attributes = {"genus": run_workflow_for_current_organism.genus,
+ param = {"genus": run_workflow_for_current_organism.genus,
"species": run_workflow_for_current_organism.species,
"genus_species": run_workflow_for_current_organism.genus_species,
"full_name": run_workflow_for_current_organism.full_name,
@@ -760,87 +767,65 @@ def create_sp_workflow_dict(sp_dict, main_dir, config, workflow_type):
"email": config[constants.CONF_GALAXY_DEFAULT_ADMIN_EMAIL],
"password": config[constants.CONF_GALAXY_DEFAULT_ADMIN_PASSWORD]}
- sp_workflow_dict[run_workflow_for_current_organism.genus_species] = {run_workflow_for_current_organism.genus_species.strain_sex: attributes}
- else:
- logging.critical("The galaxy container for %s is not ready yet!" % run_workflow_for_current_organism.genus_species)
- sys.exit()
+ if workflow_type == "blast":
- return sp_workflow_dict
+ ids = run_workflow_for_current_organism.add_organism_blastp_analysis()
- if workflow_type == "blast":
- run_workflow_for_current_organism.set_galaxy_instance()
+ org_id = ids["org_id"]
+ blastp_analysis_id = ids["blastp_analysis_id"]
+ hda_ids = run_workflow_for_current_organism.import_datasets_into_history()
- history_id = run_workflow_for_current_organism.set_history()
+ # Create the dictionary holding all attributes needed to connect to the galaxy instance
+ param = {"genus": run_workflow_for_current_organism.genus,
+ "species": run_workflow_for_current_organism.species,
+ "genus_species": run_workflow_for_current_organism.genus_species,
+ "full_name": run_workflow_for_current_organism.full_name,
+ "species_folder_name": run_workflow_for_current_organism.species_folder_name,
+ "sex": run_workflow_for_current_organism.sex,
+ "strain": run_workflow_for_current_organism.strain,
+ "org_id": org_id,
+ "blastp_analysis_id": blastp_analysis_id,
+ "hda_ids": hda_ids,
+ "history_id": history_id,
+ "instance": run_workflow_for_current_organism.instance,
+ "instance_url": run_workflow_for_current_organism.instance_url,
+ "email": config[constants.CONF_GALAXY_DEFAULT_ADMIN_EMAIL],
+ "password": config[constants.CONF_GALAXY_DEFAULT_ADMIN_PASSWORD]}
- run_workflow_for_current_organism.install_changesets_revisions_for_individual_tools()
- ids = run_workflow_for_current_organism.add_organism_blastp_analysis()
-
- org_id = ids["org_id"]
- blastp_analysis_id = ids["blastp_analysis_id"]
- hda_ids = run_workflow_for_current_organism.import_datasets_into_history()
-
- strain_sex = "{0}_{1}".format(run_workflow_for_current_organism.strain, run_workflow_for_current_organism.sex)
- genus_species = run_workflow_for_current_organism.genus_species
-
- # Create the dictionary holding all attributes needed to connect to the galaxy instance
- attributes = {"genus": run_workflow_for_current_organism.genus,
- "species": run_workflow_for_current_organism.species,
- "genus_species": run_workflow_for_current_organism.genus_species,
- "full_name": run_workflow_for_current_organism.full_name,
- "species_folder_name": run_workflow_for_current_organism.species_folder_name,
- "sex": run_workflow_for_current_organism.sex,
- "strain": run_workflow_for_current_organism.strain,
- "org_id": org_id,
- "blastp_analysis_id": blastp_analysis_id,
- "hda_ids": hda_ids,
- "history_id": history_id,
- "instance": run_workflow_for_current_organism.instance,
- "instance_url": run_workflow_for_current_organism.instance_url,
- "email": config[constants.CONF_GALAXY_DEFAULT_ADMIN_EMAIL],
- "password": config[constants.CONF_GALAXY_DEFAULT_ADMIN_PASSWORD]}
-
- sp_workflow_dict[genus_species] = {strain_sex: attributes}
+ if workflow_type == "interpro":
- if workflow_type == "interpro":
- run_workflow_for_current_organism.set_galaxy_instance()
+ ids = run_workflow_for_current_organism.add_organism_interproscan_analysis()
- history_id = run_workflow_for_current_organism.set_history()
+ org_id = ids["org_id"]
+ interpro_analysis_id = ids["interpro_analysis_id"]
+ hda_ids = run_workflow_for_current_organism.import_datasets_into_history()
- run_workflow_for_current_organism.install_changesets_revisions_for_individual_tools()
- ids = run_workflow_for_current_organism.add_organism_interproscan_analysis()
-
- org_id = ids["org_id"]
- interpro_analysis_id = ids["interpro_analysis_id"]
- hda_ids = run_workflow_for_current_organism.import_datasets_into_history()
-
- strain_sex = "{0}_{1}".format(run_workflow_for_current_organism.strain, run_workflow_for_current_organism.sex)
- genus_species = run_workflow_for_current_organism.genus_species
-
- # Create the dictionary holding all attributes needed to connect to the galaxy instance
- attributes = {"genus": run_workflow_for_current_organism.genus,
- "species": run_workflow_for_current_organism.species,
- "genus_species": run_workflow_for_current_organism.genus_species,
- "full_name": run_workflow_for_current_organism.full_name,
- "species_folder_name": run_workflow_for_current_organism.species_folder_name,
- "sex": run_workflow_for_current_organism.sex,
- "strain": run_workflow_for_current_organism.strain,
- "org_id": org_id,
- "interpro_analysis_id": interpro_analysis_id,
- "hda_ids": hda_ids,
- "history_id": history_id,
- "instance": run_workflow_for_current_organism.instance,
- "instance_url": run_workflow_for_current_organism.instance_url,
- "email": config[constants.CONF_GALAXY_DEFAULT_ADMIN_EMAIL],
- "password": config[constants.CONF_GALAXY_DEFAULT_ADMIN_PASSWORD]}
-
- sp_workflow_dict[genus_species] = {strain_sex: attributes}
+ # Create the dictionary holding all attributes needed to connect to the galaxy instance
+ param = {"genus": run_workflow_for_current_organism.genus,
+ "species": run_workflow_for_current_organism.species,
+ "genus_species": run_workflow_for_current_organism.genus_species,
+ "full_name": run_workflow_for_current_organism.full_name,
+ "species_folder_name": run_workflow_for_current_organism.species_folder_name,
+ "sex": run_workflow_for_current_organism.sex,
+ "strain": run_workflow_for_current_organism.strain,
+ "org_id": org_id,
+ "interpro_analysis_id": interpro_analysis_id,
+ "hda_ids": hda_ids,
+ "history_id": history_id,
+ "instance": run_workflow_for_current_organism.instance,
+ "instance_url": run_workflow_for_current_organism.instance_url,
+ "email": config[constants.CONF_GALAXY_DEFAULT_ADMIN_EMAIL],
+ "password": config[constants.CONF_GALAXY_DEFAULT_ADMIN_PASSWORD]}
- else:
- logging.critical("The galaxy container for %s is not ready yet!" % run_workflow_for_current_organism.full_name)
- sys.exit()
+ sp_wf_param = RunWorkflowParam(
+ genus_species=run_workflow_for_current_organism.genus_species,
+ strain_sex=run_workflow_for_current_organism.strain_sex,
+ param_dict=param
+ )
+ return sp_wf_param
def install_changesets_revisions_from_workflow(instance, workflow_path):
@@ -957,29 +942,31 @@ if __name__ == "__main__":
for sp_dict in sp_dict_list:
# Add and retrieve all analyses/organisms for the current input species and add their IDs to the input dictionary
- current_sp_workflow_dict = create_sp_workflow_dict(
+ sp_workflow_attributes = get_sp_workflow_param(
sp_dict,
main_dir=main_dir,
config=config,
workflow_type=phaoexplorer_constants.WORKFLOW_LOAD_FASTA_GFF_JBROWSE)
- current_sp_key = list(current_sp_workflow_dict.keys())[0]
- current_sp_value = list(current_sp_workflow_dict.values())[0]
- current_sp_strain_sex_key = list(current_sp_value.keys())[0]
- current_sp_strain_sex_value = list(current_sp_value.values())[0]
+ current_sp_genus_species = sp_workflow_attributes.genus_species
+ current_sp_strain_sex = sp_workflow_attributes.strain_sex
+ current_sp_strain_sex_attributes_dict = sp_workflow_attributes.param_dict
# Add the species dictionary to the complete dictionary
# This dictionary contains every organism present in the input file
# Its structure is the following:
# {genus species: {strain1_sex1: {variables_key: variables_values}, strain1_sex2: {variables_key: variables_values}}}
- if not current_sp_key in all_sp_workflow_dict.keys():
- all_sp_workflow_dict[current_sp_key] = current_sp_value
+ if not current_sp_genus_species in all_sp_workflow_dict.keys():
+ all_sp_workflow_dict[current_sp_genus_species] = {current_sp_strain_sex: current_sp_strain_sex_attributes_dict}
else:
- all_sp_workflow_dict[current_sp_key][current_sp_strain_sex_key] = current_sp_strain_sex_value
+ if not current_sp_strain_sex in all_sp_workflow_dict[current_sp_genus_species].keys():
+ all_sp_workflow_dict[current_sp_genus_species][current_sp_strain_sex] = current_sp_strain_sex_attributes_dict
+ else:
+ logging.error("Duplicate organism with 'genus_species' = '{0}' and 'strain_sex' = '{1}'".format(current_sp_genus_species, current_sp_strain_sex))
- for k, v in all_sp_workflow_dict.items():
- if len(list(v.keys())) == 1:
- logging.info("Input organism %s: 1 species detected in input dictionary" % k)
+ for species, strains in all_sp_workflow_dict.items():
+ if len(list(strains.keys())) == 1:
+ logging.info("Input species %s: 1 strain detected in input dictionary" % species)
# Set workflow path (1 organism)
workflow_path = os.path.join(os.path.abspath(script_dir), "workflows_phaeoexplorer/Galaxy-Workflow-chado_load_tripal_synchronize_jbrowse_1org_v4.ga")
@@ -988,7 +975,7 @@ if __name__ == "__main__":
instance_url, email, password = None, None, None
# Set the galaxy instance variables
- for k2, v2 in v.items():
+ for k2, v2 in strains.values():
instance_url = v2["instance_url"]
email = v2["email"]
password = v2["password"]
@@ -998,11 +985,8 @@ if __name__ == "__main__":
# Check if the versions of tools specified in the workflow are installed in galaxy
install_changesets_revisions_from_workflow(workflow_path=workflow_path, instance=instance)
- organism_key_name = list(v.keys())
- org_dict = v[organisms_key_name[0]]
-
- # print("\n")
- # print(org_dict)
+ organisms_key_name = list(strains.keys())
+ org_dict = strains[organisms_key_name[0]]
history_id = org_dict["history_id"]
@@ -1121,9 +1105,9 @@ if __name__ == "__main__":
logging.info("Successfully imported and invoked workflow {0}, check the galaxy instance ({1}) for the jobs state".format(workflow_name, instance_url))
- if len(list(v.keys())) == 2:
+ if len(list(strains.keys())) == 2:
- logging.info("Input organism %s: 2 species detected in input dictionary" % k)
+ logging.info("Input organism %s: 2 species detected in input dictionary" % species)
# Set workflow path (2 organisms)
workflow_path = os.path.join(os.path.abspath(script_dir), "workflows_phaeoexplorer/Galaxy-Workflow-chado_load_tripal_synchronize_jbrowse_2org_v4.ga")
@@ -1132,7 +1116,7 @@ if __name__ == "__main__":
instance_url, email, password = None, None, None
# Set the galaxy instance variables
- for k2, v2 in v.items():
+ for k2, v2 in strains.items():
instance_url = v2["instance_url"]
email = v2["email"]
password = v2["password"]
@@ -1143,9 +1127,9 @@ if __name__ == "__main__":
install_changesets_revisions_from_workflow(workflow_path=workflow_path, instance=instance)
# Get key names from the current organism (item 1 = organism 1, item 2 = organism 2)
- organisms_key_names = list(v.keys())
- org1_dict = v[organisms_key_names[0]]
- org2_dict = v[organisms_key_names[1]]
+ organisms_key_names = list(strains.keys())
+ org1_dict = strains[organisms_key_names[0]]
+ org2_dict = strains[organisms_key_names[1]]
history_id = org1_dict["history_id"]
@@ -1360,24 +1344,24 @@ if __name__ == "__main__":
for sp_dict in sp_dict_list:
# Add and retrieve all analyses/organisms for the current input species and add their IDs to the input dictionary
- current_sp_workflow_dict = create_sp_workflow_dict(sp_dict, main_dir=args.main_directory, config=config, workfow_type="blast")
+ sp_workflow_attributes = get_sp_workflow_param(sp_dict, main_dir=args.main_directory, config=config, workfow_type="blast")
- current_sp_key = list(current_sp_workflow_dict.keys())[0]
- current_sp_value = list(current_sp_workflow_dict.values())[0]
- current_sp_strain_sex_key = list(current_sp_value.keys())[0]
- current_sp_strain_sex_value = list(current_sp_value.values())[0]
+ current_sp_genus_species = list(sp_workflow_attributes.keys())[0]
+ current_sp_genus_species_dict = list(sp_workflow_attributes.values())[0]
+ current_sp_strain_sex = list(current_sp_genus_species_dict.keys())[0]
+ current_sp_strain_sex_attributes_dict = list(current_sp_genus_species_dict.values())[0]
# Add the species dictionary to the complete dictionary
# This dictionary contains every organism present in the input file
# Its structure is the following:
# {genus species: {strain1_sex1: {variables_key: variables_values}, strain1_sex2: {variables_key: variables_values}}}
- if not current_sp_key in all_sp_workflow_dict.keys():
- all_sp_workflow_dict[current_sp_key] = current_sp_value
+ if not current_sp_genus_species in all_sp_workflow_dict.keys():
+ all_sp_workflow_dict[current_sp_genus_species] = current_sp_genus_species_dict
else:
- all_sp_workflow_dict[current_sp_key][current_sp_strain_sex_key] = current_sp_strain_sex_value
+ all_sp_workflow_dict[current_sp_genus_species][current_sp_strain_sex] = current_sp_strain_sex_attributes_dict
- if len(list(v.keys())) == 1:
- logging.info("Input organism %s: 1 species detected in input dictionary" % k)
+ if len(list(strains.keys())) == 1:
+ logging.info("Input organism %s: 1 species detected in input dictionary" % species)
# Set workflow path (1 organism)
workflow_path = os.path.join(os.path.abspath(script_dir), "workflows_phaeoexplorer/Galaxy-Workflow-load_blast_results_1org_v1.ga")
@@ -1386,7 +1370,7 @@ if __name__ == "__main__":
instance_url, email, password = None, None, None
# Set the galaxy instance variables
- for k2, v2 in v.items():
+ for k2, v2 in strains.items():
instance_url = v2["instance_url"]
email = v2["email"]
password = v2["password"]
@@ -1396,8 +1380,8 @@ if __name__ == "__main__":
# Check if the versions of tools specified in the workflow are installed in galaxy
install_changesets_revisions_from_workflow(workflow_path=workflow_path, instance=instance)
- organism_key_name = list(v.keys())
- org_dict = v[organisms_key_name[0]]
+ organism_key_name = list(strains.keys())
+ org_dict = strains[organisms_key_name[0]]
history_id = org_dict["history_id"]
@@ -1473,9 +1457,9 @@ if __name__ == "__main__":
- if len(list(v.keys())) == 2:
+ if len(list(strains.keys())) == 2:
- logging.info("Input organism %s: 2 species detected in input dictionary" % k)
+ logging.info("Input organism %s: 2 species detected in input dictionary" % species)
# Set workflow path (2 organisms)
workflow_path = os.path.join(os.path.abspath(script_dir), "workflows_phaeoexplorer/Galaxy-Workflow-load_blast_results_2org_v1.ga")
@@ -1484,7 +1468,7 @@ if __name__ == "__main__":
instance_url, email, password = None, None, None
# Set the galaxy instance variables
- for k2, v2 in v.items():
+ for k2, v2 in strains.items():
instance_url = v2["instance_url"]
email = v2["email"]
password = v2["password"]
@@ -1494,9 +1478,9 @@ if __name__ == "__main__":
# Check if the versions of tools specified in the workflow are installed in galaxy
install_changesets_revisions_from_workflow(workflow_path=workflow_path, instance=instance)
- organisms_key_names = list(v.keys())
- org1_dict = v[organisms_key_names[0]]
- org2_dict = v[organisms_key_names[1]]
+ organisms_key_names = list(strains.keys())
+ org1_dict = strains[organisms_key_names[0]]
+ org2_dict = strains[organisms_key_names[1]]
history_id = org1_dict["history_id"]
@@ -1630,24 +1614,24 @@ if __name__ == "__main__":
for sp_dict in sp_dict_list:
# Add and retrieve all analyses/organisms for the current input species and add their IDs to the input dictionary
- current_sp_workflow_dict = create_sp_workflow_dict(sp_dict, main_dir=args.main_directory, config=config, workfow_type="blast")
+ sp_workflow_attributes = get_sp_workflow_param(sp_dict, main_dir=args.main_directory, config=config, workfow_type="blast")
- current_sp_key = list(current_sp_workflow_dict.keys())[0]
- current_sp_value = list(current_sp_workflow_dict.values())[0]
- current_sp_strain_sex_key = list(current_sp_value.keys())[0]
- current_sp_strain_sex_value = list(current_sp_value.values())[0]
+ current_sp_genus_species = list(sp_workflow_attributes.keys())[0]
+ current_sp_genus_species_dict = list(sp_workflow_attributes.values())[0]
+ current_sp_strain_sex = list(current_sp_genus_species_dict.keys())[0]
+ current_sp_strain_sex_attributes_dict = list(current_sp_genus_species_dict.values())[0]
# Add the species dictionary to the complete dictionary
# This dictionary contains every organism present in the input file
# Its structure is the following:
# {genus species: {strain1_sex1: {variables_key: variables_values}, strain1_sex2: {variables_key: variables_values}}}
- if not current_sp_key in all_sp_workflow_dict.keys():
- all_sp_workflow_dict[current_sp_key] = current_sp_value
+ if not current_sp_genus_species in all_sp_workflow_dict.keys():
+ all_sp_workflow_dict[current_sp_genus_species] = current_sp_genus_species_dict
else:
- all_sp_workflow_dict[current_sp_key][current_sp_strain_sex_key] = current_sp_strain_sex_value
+ all_sp_workflow_dict[current_sp_genus_species][current_sp_strain_sex] = current_sp_strain_sex_attributes_dict
- if len(list(v.keys())) == 1:
- logging.info("Input organism %s: 1 species detected in input dictionary" % k)
+ if len(list(strains.keys())) == 1:
+ logging.info("Input organism %s: 1 species detected in input dictionary" % species)
# Set workflow path (1 organism)
workflow_path = os.path.join(os.path.abspath(script_dir), "workflows_phaeoexplorer/Galaxy-Workflow-load_blast_results_1org_v1.ga")
@@ -1656,7 +1640,7 @@ if __name__ == "__main__":
instance_url, email, password = None, None, None
# Set the galaxy instance variables
- for k2, v2 in v.items():
+ for k2, v2 in strains.items():
instance_url = v2["instance_url"]
email = v2["email"]
password = v2["password"]
@@ -1666,8 +1650,8 @@ if __name__ == "__main__":
# Check if the versions of tools specified in the workflow are installed in galaxy
install_changesets_revisions_from_workflow(workflow_path=workflow_path, instance=instance)
- organism_key_name = list(v.keys())
- org_dict = v[organisms_key_name[0]]
+ organism_key_name = list(strains.keys())
+ org_dict = strains[organisms_key_name[0]]
history_id = org_dict["history_id"]
@@ -1743,9 +1727,9 @@ if __name__ == "__main__":
- if len(list(v.keys())) == 2:
+ if len(list(strains.keys())) == 2:
- logging.info("Input organism %s: 2 species detected in input dictionary" % k)
+ logging.info("Input organism %s: 2 species detected in input dictionary" % species)
# Set workflow path (2 organisms)
workflow_path = os.path.join(os.path.abspath(script_dir), "workflows_phaeoexplorer/Galaxy-Workflow-load_blast_results_2org_v1.ga")
@@ -1754,7 +1738,7 @@ if __name__ == "__main__":
instance_url, email, password = None, None, None
# Set the galaxy instance variables
- for k2, v2 in v.items():
+ for k2, v2 in strains.items():
instance_url = v2["instance_url"]
email = v2["email"]
password = v2["password"]
@@ -1764,9 +1748,9 @@ if __name__ == "__main__":
# Check if the versions of tools specified in the workflow are installed in galaxy
install_changesets_revisions_from_workflow(workflow_path=workflow_path, instance=instance)
- organisms_key_names = list(v.keys())
- org1_dict = v[organisms_key_names[0]]
- org2_dict = v[organisms_key_names[1]]
+ organisms_key_names = list(strains.keys())
+ org1_dict = strains[organisms_key_names[0]]
+ org2_dict = strains[organisms_key_names[1]]
history_id = org1_dict["history_id"]
diff --git a/speciesData.py b/speciesData.py
index 83626b70e1289a72eff98172a08af91962c490ec..6cc5bb0e2941ec83e0dfd002080d39086b46b990 100755
--- a/speciesData.py
+++ b/speciesData.py
@@ -116,6 +116,15 @@ class SpeciesData:
else:
self.dataset_prefix = self.genus[0].lower() + "_" + self.species_lowercase
+ self.genome_filename = "{0}_v{1}.fasta".format(self.dataset_prefix, self.genome_version)
+ self.gff_filename = "{0}_OGS{1}_{2}.gff".format(self.dataset_prefix, self.ogs_version, constants.DATA_DATE)
+ self.transcripts_filename = "{0}_OGS{1}_{2}".format(self.dataset_prefix, self.ogs_version, constants.TRANSCRIPTS_FILENAME_SUFFIX)
+ self.proteins_filename = "{0}_OGS{1}_{2}".format(self.dataset_prefix, self.ogs_version, constants.FILENAME_SUFFIX_PROTEINS)
+ self.interpro_filename = "{0}_OGS{1}_{2}".format(self.dataset_prefix, self.ogs_version, constants.FILENAME_SUFFIX_INTERPRO)
+ self.blastp_filename = "{0}_OGS{1}_{2}".format(self.dataset_prefix, self.ogs_version, constants.FILENAME_SUFFIX_BLASTP)
+ self.blastx_filename = "{0}_OGS{1}_{2}".format(self.dataset_prefix, self.ogs_version, constants.FILENAME_SUFFIX_BLASTX)
+ self.orthofinder_filename = "{0}_OGS{1}_{2}".format(self.dataset_prefix, self.ogs_version, constants.FILENAME_SUFFIX_ORTHOFINDER)
+
# Bioblend/Chado IDs for an organism analyses/organisms/datasets/history/library
self.org_id = None
self.genome_analysis_id = None
@@ -131,8 +140,6 @@ class SpeciesData:
self.species_dir = None
self.tool_panel = None
- self.datasets = dict()
- self.datasets_name = dict()
self.source_files = dict()
self.workflow_name = None
self.metadata = dict()