diff --git a/gga_get_data.py b/gga_get_data.py
index 73821ff989209c6552431bc747707ff1f293b8b0..4494f9ab1b6924e9175ae7d05d2ea352a9ed35a7 100644
--- a/gga_get_data.py
+++ b/gga_get_data.py
@@ -66,7 +66,7 @@ class GetData(speciesData.SpeciesData):
logging.critical("Cannot access " + self.species_dir)
sys.exit(0)
- organism_annotation_dir = os.path.abspath("./src_data/annotation/{0}/OGS{1}".format(self.species_folder_name, self.genome_version))
+ organism_annotation_dir = os.path.abspath("./src_data/annotation/{0}/OGS{1}".format(self.species_folder_name, self.ogs_version))
organism_genome_dir = os.path.abspath("./src_data/genome/{0}/v{1}".format(self.species_folder_name, self.genome_version))
datasets_to_get = {"genome_path": self.genome_path,
@@ -93,7 +93,7 @@ class GetData(speciesData.SpeciesData):
try:
shutil.copyfile(os.path.abspath(v), os.path.join(organism_genome_dir, os.path.basename(v)))
except Exception as exc:
- logging.warning("Could not copy {0} - {1} - Exit Code {2})".format(k, v, exc))
+ logging.warning("Could not copy {0} ({1}) - Exit Code: {2})".format(k, v, exc))
elif k in annotation_datasets:
logging.info("Copying {0} ({1}) into {2}".format(k, v, organism_annotation_dir))
try:
diff --git a/gga_load_data.py b/gga_load_data.py
index 1c20b9079ced3ee672d5a51b14d523b8bb93a39d..2d83b83186f55f71901145a362b7a0bac97ae078 100644
--- a/gga_load_data.py
+++ b/gga_load_data.py
@@ -279,7 +279,6 @@ class LoadData(speciesData.SpeciesData):
email=self.config["galaxy_default_admin_email"],
password=self.config["galaxy_default_admin_password"]
)
- print(self.instance)
self.instance.histories.get_histories()
logging.info("Connecting to the galaxy instance...")
@@ -370,15 +369,11 @@ if __name__ == "__main__":
# Parse the config yaml file
load_data_for_current_species.config = utilities.parse_config(args.config)
# Set the instance url attribute -- Does not work with localhost on scratch (ALB)
- for env_variable, value in load_data_for_current_species.config.items():
- if env_variable == "hostname":
- load_data_for_current_species.instance_url = "http://{0}:8888/sp/{1}_{2}/galaxy/".format(
- value, load_data_for_current_species.genus_lowercase, load_data_for_current_species.species)
- break
- else:
- load_data_for_current_species.instance_url = "http://localhost:8888/sp/{0}_{1}/galaxy/".format(
- load_data_for_current_species.genus_lowercase,
- load_data_for_current_species.species)
+ print(load_data_for_current_species.config["http_port"])
+ load_data_for_current_species.instance_url = "http://scratchgmodv1:{0}/sp/{1}_{2}/galaxy/".format(
+ load_data_for_current_species.config["http_port"],
+ load_data_for_current_species.genus_lowercase,
+ load_data_for_current_species.species)
diff --git a/run_workflow_phaeoexplorer.py b/run_workflow_phaeoexplorer.py
index fafd4131f3b7579092e12541a1577d6f9ef7e05b..f3fd8e726252261b1403907c7cacaa1a6e3c8242 100644
--- a/run_workflow_phaeoexplorer.py
+++ b/run_workflow_phaeoexplorer.py
@@ -186,16 +186,9 @@ class RunWorkflow(speciesData.SpeciesData):
# Verify that the add_organism and add_analysis versions are correct in the toolshed
add_organism_tool = self.instance.tools.show_tool("toolshed.g2.bx.psu.edu/repos/gga/chado_organism_add_organism/organism_add_organism/2.3.3")
- add_analysis_tool= self.instance.tools.show_tool("toolshed.g2.bx.psu.edu/repos/gga/chado_analysis_add_analysis/analysis_add_analysis/2.3.3")
-
- # print(add_organism_tool)
- # print(add_analysis_tool)
-
+ add_analysis_tool = self.instance.tools.show_tool("toolshed.g2.bx.psu.edu/repos/gga/chado_analysis_add_analysis/analysis_add_analysis/2.3.3")
get_organism_tool = self.instance.tools.show_tool("toolshed.g2.bx.psu.edu/repos/gga/chado_organism_get_organisms/organism_get_organisms/2.3.3")
get_analysis_tool = self.instance.tools.show_tool("toolshed.g2.bx.psu.edu/repos/gga/chado_analysis_get_analyses/analysis_get_analyses/2.3.3")
-
- # print(get_organism_tool)
- # print(get_analysis_tool)
# changeset for 2.3.3 has to be manually found because there is no way to get the wanted changeset of a non installed tool via bioblend
# except for workflows (.ga) that already contain the changeset revisions inside the steps ids
@@ -530,6 +523,16 @@ class RunWorkflow(speciesData.SpeciesData):
return invocation_report
+
+
+ def get_datasets_ldda_ids(self):
+ """
+ Get and return the ldda_ids (and names) for the datasets in the library
+ """
+
+ return 0
+
+
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
@@ -562,28 +565,8 @@ class RunWorkflow(speciesData.SpeciesData):
genome_dataset_hda_id, gff_dataset_hda_id, transcripts_dataset_hda_id, proteins_datasets_hda_id = None, None, None, None
interproscan_dataset_hda_id, blast_diamond_dataset_hda_id = None, None
- # Check for existing datasets for current organism (should have been run separately for mutliple organisms instances)
- for dataset_dict in history_datasets_li[0:5]: # Limit of datasets is 6 atm
- # Datasets imports should be ordered correctly
- if dataset_dict["name"].endswith("proteins.fa"):
- proteins_datasets_hda_id = dataset_dict["id"]
- logging.debug("Proteins dataset hda ID: %s" % proteins_datasets_hda_id)
- elif dataset_dict["name"].endswith("transcripts-gff.fa"):
- transcripts_dataset_hda_id = dataset_dict["id"]
- logging.debug("Transcripts dataset hda ID: %s" % transcripts_dataset_hda_id)
- elif dataset_dict["name"].endswith(".gff"):
- gff_dataset_hda_id = dataset_dict["id"]
- logging.debug("gff dataset hda ID: %s" % gff_dataset_hda_id)
- elif "Interpro" in dataset_dict["name"]:
- interproscan_dataset_hda_id = dataset_dict["id"]
- logging.debug("InterproScan dataset hda ID: %s" % gff_dataset_hda_id)
- elif "diamond-blastp" in dataset_dict["name"]:
- blast_diamond_dataset_hda_id = dataset_dict["id"]
- logging.debug("Blast Diamond dataset hda ID: %s" % gff_dataset_hda_id)
- else:
- genome_dataset_hda_id = dataset_dict["id"]
- logging.debug("Genome dataset hda id: %s" % genome_dataset_hda_id)
-
+ # Store datasets that are in the history already in a dict
+ hda_ids = self.get_datasets_hda_ids()
# Iterating over the folders to find datasets and map datasets to their IDs
logging.debug("Datasets IDs: ")
@@ -619,37 +602,37 @@ class RunWorkflow(speciesData.SpeciesData):
self.datasets["blast_diamond_file"] = e["ldda_id"]
logging.debug("Blastp diamond file:\t" + e["name"] + ": " + e["ldda_id"])
- logging.info("Uploading datasets into history %s" % self.history_id)
- if genome_dataset_hda_id is None:
+ logging.debug("Uploading datasets into history %s" % self.history_id)
+ # Import each dataset into history if it is not imported
+ if hda_ids["genome_hda_id"] is None:
self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["genome_file"])
- if gff_dataset_hda_id is None:
+ if hda_ids["gff_hda_id"] is None:
self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["gff_file"])
- if transcripts_dataset_hda_id is None:
+ if hda_ids["transcripts_hda_id"] is None:
self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["transcripts_file"])
- if proteins_datasets_hda_id is None:
+ if hda_ids["proteins_hda_id"] is None:
self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["proteins_file"])
- if interproscan_dataset_hda_id is None:
+ if hda_ids["interproscan_hda_id"] is None:
try:
self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["interproscan_file"])
except Exception as exc:
logging.debug("Interproscan file not found in library (history: {0})\n{1}".format(self.history_id, exc))
- if blast_diamond_dataset_hda_id is None:
+ if hda_ids["blast_diamond_hda_id"] is None:
try:
self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["blast_diamond_file"])
except Exception as exc:
logging.debug("Blastp file not found in library (history: {0})\n{1}".format(self.history_id, exc))
- _datasets = self.instance.datasets.get_datasets()
- with open(os.path.join(self.main_dir, "datasets_ids.json"), "w") as datasets_ids_outfile:
- datasets_ids_outfile.write(str(_datasets))
+ # _datasets = self.instance.datasets.get_datasets()
+ # with open(os.path.join(self.main_dir, "datasets_ids.json"), "w") as datasets_ids_outfile:
+ # datasets_ids_outfile.write(str(_datasets))
return {"history_id": self.history_id, "library_id": library_id, "datasets": self.datasets}
+
def get_datasets_hda_ids(self):
"""
Get the hda IDs of the datasets imported into an history
- The most "recent" imports will be prioritized
-
As some tools will not work using the input datasets ldda IDs we need to retrieve the datasets IDs imported
into an history
@@ -658,6 +641,72 @@ class RunWorkflow(speciesData.SpeciesData):
:return:
"""
+ # Create an object of the galaxy instance
+ gio = GalaxyInstance(url=self.instance_url,
+ email=self.config["galaxy_default_admin_email"],
+ password=self.config["galaxy_default_admin_password"])
+
+ prj_lib = gio.libraries.get_previews(name="Project Data")
+ library_id = prj_lib[0].id
+
+ instance_source_data_folders = self.instance.libraries.get_folders(library_id=str(library_id))
+
+ folders_ids = {}
+ current_folder_name = ""
+ # Loop over the folders in the library and map folders names to their IDs
+ for i in instance_source_data_folders:
+ for k, v in i.items():
+ if k == "name":
+ folders_ids[v] = 0
+ current_folder_name = v
+ if k == "id":
+ folders_ids[current_folder_name] = v
+
+ history_datasets_li = self.instance.datasets.get_datasets()
+ genome_dataset_hda_id, gff_dataset_hda_id, transcripts_dataset_hda_id, proteins_datasets_hda_id = None, None, None, None
+ interproscan_dataset_hda_id, blast_diamond_dataset_hda_id = None, None
+
+ # Iterating over the folders to find datasets and map datasets to their IDs
+ # TODO: Add a required matching of the version (genome/ogs)
+ logging.debug("Datasets IDs: ")
+ for k, v in folders_ids.items():
+ if k == "/genome":
+ sub_folder_content = self.instance.folders.show_folder(folder_id=v, contents=True)
+ final_sub_folder_content = self.instance.folders.show_folder(folder_id=sub_folder_content["folder_contents"][0]["id"], contents=True)
+ for k2, v2 in final_sub_folder_content.items():
+ for e in v2:
+ if type(e) == dict:
+ if e["name"].endswith(".fa"):
+ self.datasets["genome_file"] = e["ldda_id"]
+ self.datasets_name["genome_file"] = e["name"]
+ logging.debug("Genome file:\t" + e["name"] + ": " + e["ldda_id"])
+ if k == "/annotation":
+ sub_folder_content = self.instance.folders.show_folder(folder_id=v, contents=True)
+ final_sub_folder_content = self.instance.folders.show_folder(folder_id=sub_folder_content["folder_contents"][0]["id"], contents=True)
+ for k2, v2 in final_sub_folder_content.items():
+ for e in v2:
+ if type(e) == dict:
+ if "transcripts" in e["name"]:
+ self.datasets["transcripts_file"] = e["ldda_id"]
+ self.datasets_name["transcripts_file"] = e["name"]
+ logging.debug("Transcripts file:\t" + e["name"] + ": " + e["ldda_id"])
+ elif "proteins.fa" in e["name"]:
+ self.datasets["proteins_file"] = e["ldda_id"]
+ self.datasets_name["proteins_file"] = e["name"]
+ logging.debug("Proteins file:\t" + e["name"] + ": " + e["ldda_id"])
+ elif "gff" in e["name"]:
+ self.datasets["gff_file"] = e["ldda_id"]
+ self.datasets_name["gff_file"] = e["name"]
+ logging.debug("GFF file:\t" + e["name"] + ": " + e["ldda_id"])
+ elif "Interpro" in e["name"]:
+ self.datasets["interproscan_file"] = e["ldda_id"]
+ self.datasets_name["interproscan_file"] = e["name"]
+ logging.debug("Interproscan file:\t" + e["name"] + ": " + e["ldda_id"])
+ elif "diamond-blastp" in e["name"]:
+ self.datasets["blast_diamond_file"] = e["ldda_id"]
+ self.datasets_name["blast_diamond_file"] = e["name"]
+ logging.debug("Blastp diamond file:\t" + e["name"] + ": " + e["ldda_id"])
+
# List of all datasets in the instance (including outputs from jobs)
# "limit" and "offset" options *may* be used to restrict search to specific datasets but since
# there is no way to know which imported datasets are the correct ones depending on history content
@@ -667,32 +716,29 @@ class RunWorkflow(speciesData.SpeciesData):
genome_dataset_hda_id, gff_dataset_hda_id, transcripts_dataset_hda_id, proteins_datasets_hda_id = None, None, None, None
interproscan_dataset_hda_id, blast_diamond_dataset_hda_id = None, None
- genome_dataset_hda_id = history_datasets_li[3]["id"]
- gff_dataset_hda_id = history_datasets_li[2]["id"]
- transcripts_dataset_hda_id = history_datasets_li[1]["id"]
- proteins_datasets_hda_id = history_datasets_li[0]["id"]
-
- for dataset_dict in history_datasets_li[0:5]:
- # Datasets imports should be the last jobs in history if the function calls are in correct order
- # If not, add the function call "get_datasets_hda_ids()" just after "import_datasets_into_history()"
- if dataset_dict["name"].endswith("proteins.fa"):
+ # Match files imported in history names vs library datasets names to assign their respective hda_id
+ for dataset_dict in history_datasets_li:
+ if dataset_dict["name"] == self.datasets_name["genome_file"]:
+ genome_dataset_hda_id = dataset_dict["id"]
+ logging.debug("Genome dataset hda id: %s" % genome_dataset_hda_id)
+ elif dataset_dict["name"] == self.datasets_name["proteins_file"]:
proteins_datasets_hda_id = dataset_dict["id"]
logging.debug("Proteins dataset hda ID: %s" % proteins_datasets_hda_id)
- elif dataset_dict["name"].endswith("transcripts-gff.fa"):
+ elif dataset_dict["name"] == self.datasets_name["transcripts_file"]:
transcripts_dataset_hda_id = dataset_dict["id"]
logging.debug("Transcripts dataset hda ID: %s" % transcripts_dataset_hda_id)
- elif dataset_dict["name"].endswith(".gff"):
+ elif dataset_dict["name"] == self.datasets_name["gff_file"]:
gff_dataset_hda_id = dataset_dict["id"]
logging.debug("gff dataset hda ID: %s" % gff_dataset_hda_id)
- elif "Interpro" in dataset_dict["name"]:
- interproscan_dataset_hda_id = dataset_dict["id"]
- logging.debug("InterproScan dataset hda ID: %s" % gff_dataset_hda_id)
- elif "diamond-blastp" in dataset_dict["name"]:
- blast_diamond_dataset_hda_id = dataset_dict["id"]
- logging.debug("Blast Diamond dataset hda ID: %s" % gff_dataset_hda_id)
- else:
- genome_dataset_hda_id = dataset_dict["id"]
- logging.debug("Genome dataset hda id: %s" % genome_dataset_hda_id)
+
+ if "interproscan_file" in self.datasets_name.keys():
+ if dataset_dict["name"] == self.datasets_name["interproscan_file"]:
+ interproscan_dataset_hda_id = dataset_dict["id"]
+ logging.debug("InterproScan dataset hda ID: %s" % gff_dataset_hda_id)
+ if "blast_diamond_file" in self.datasets_name.keys():
+ if dataset_dict["name"] == self.datasets_name["blast_diamond_file"]:
+ blast_diamond_dataset_hda_id = dataset_dict["id"]
+ logging.debug("Blast Diamond dataset hda ID: %s" % gff_dataset_hda_id)
# Return a dict made of the hda ids
return{"genome_hda_id": genome_dataset_hda_id, "transcripts_hda_id": transcripts_dataset_hda_id,
@@ -851,7 +897,7 @@ if __name__ == "__main__":
# Parse the config yaml file
run_workflow_for_current_organism.config = utilities.parse_config(args.config)
# Set the instance url attribute
- run_workflow_for_current_organism.instance_url = "http://localhost:{0}/sp/{1}_{2}/galaxy/".format(
+ run_workflow_for_current_organism.instance_url = "http://scratchgmodv1:{0}/sp/{1}_{2}/galaxy/".format(
run_workflow_for_current_organism.config["http_port"],
run_workflow_for_current_organism.genus_lowercase,
run_workflow_for_current_organism.species)
diff --git a/speciesData.py b/speciesData.py
index 287c8ccf92a839743cb5ec71b0a7a23ff3f65acc..a52b0e504015366d0b5dfee129d13e556b1d4cda 100644
--- a/speciesData.py
+++ b/speciesData.py
@@ -11,7 +11,7 @@ from _datetime import datetime
class SpeciesData:
"""
This class contains attributes and functions to interact with the galaxy container of the GGA environment
- Parent class of LoadData, DeploySpeciesStack and RunWorkflow
+ Parent class of LoadData, GetData, DeploySpeciesStack, GgaPreprocess and RunWorkflow
"""
@@ -37,6 +37,7 @@ class SpeciesData:
else:
self.ogs_version = parameters_dictionary["data"]["ogs_version"]
+ # TODO: catch blocks if key is absent in input
self.genome_path = parameters_dictionary["data"]["genome_path"]
self.transcripts_path = parameters_dictionary["data"]["transcripts_path"]
self.proteins_path = parameters_dictionary["data"]["proteins_path"]
@@ -66,6 +67,7 @@ class SpeciesData:
self.ogs_analysis_id = None
self.tool_panel = None
self.datasets = dict()
+ self.datasets_name = dict()
self.source_files = dict()
self.workflow_name = None
self.metadata = dict()
diff --git a/templates/gspecies_compose_template.yml.j2 b/templates/gspecies_compose_template.yml.j2
index 6bf0adcc41e19a1b29b5e1179f17ccfcae945e30..c943c27b190351e600d7b7bf9beb59995a08aa3f 100644
--- a/templates/gspecies_compose_template.yml.j2
+++ b/templates/gspecies_compose_template.yml.j2
@@ -50,7 +50,7 @@ services:
TRIPAL_ENABLE_MODULES: "tripal_analysis_blast tripal_analysis_interpro tripal_analysis_go tripal_rest_api tripal_elasticsearch"
SITE_NAME: "{{ Genus_species }}"
ELASTICSEARCH_HOST: elasticsearch.{{ genus_species }}
- ENABLE_JBROWSE: /jbrowse/?data=data/{{ genus_species_sex }}
+ ENABLE_JBROWSE: /jbrowse/?data=data/{{ genus_species_sex }} # WARNING --> the variable "sex" shouldn't be in the compose file (all strains/sex are supposed to be in the same jbrowse)
ENABLE_APOLLO: 0
ENABLE_BLAST: 1
ENABLE_DOWNLOAD: 1
@@ -159,10 +159,11 @@ services:
# - "traefik.http.routers.{{ genus_species }}-galaxy.entryPoints=webs"
- "traefik.http.routers.{{ genus_species }}-galaxy.entryPoints=web" #lg
# - "traefik.http.routers.{{ genus_species }}-galaxy.middlewares=sp-auth,sp-app-trailslash,sp-app-prefix"
- - "traefik.http.routers.{{ genus_species }}-gga_load-galaxy.rule=(Host(`localhost`) && PathPrefix(`/sp/{{ genus_species }}/galaxy`))"
- - "traefik.http.routers.{{ genus_species }}-gga_load-galaxy.entryPoints=web"
- "traefik.http.routers.{{ genus_species }}-galaxy.middlewares=sp-app-trailslash,sp-app-prefix" #lg
- "traefik.http.services.{{ genus_species }}-galaxy.loadbalancer.server.port=80"
+ - "traefik.http.routers.{{ genus_species }}-gga_load-galaxy.rule=(Host(`localhost`) && PathPrefix(`/sp/{{ genus_species }}/galaxy`))"
+ - "traefik.http.routers.{{ genus_species }}-gga_load-galaxy.entryPoints=web"
+
restart_policy:
condition: on-failure
delay: 5s