diff options
| author | BonfaceKilz | 2021-04-30 12:16:51 +0300 |
|---|---|---|
| committer | BonfaceKilz | 2021-04-30 13:45:15 +0300 |
| commit | c7e661b8ff9f70955418fbc4527378904beb0cf4 (patch) | |
| tree | 7a164b42d46e15b6f2775a50137b412c8713e2f3 /wqflask/wqflask | |
| parent | 385da724b63f57d0fb1bbe3476cea31ef837c081 (diff) | |
| download | genenetwork2-c7e661b8ff9f70955418fbc4527378904beb0cf4.tar.gz | |
autopep8: Fix E20-E27
Run:
python -m autopep8 --in-place --recrusive ./ --select\
E20,E211,E22,E224,E224,E225,E226,E227,E228,E231,E241,\
E242,E251,E252,E26,E265,E266,E27 -p 3
Diffstat (limited to 'wqflask/wqflask')
41 files changed, 1286 insertions, 1305 deletions
diff --git a/wqflask/wqflask/__init__.py b/wqflask/wqflask/__init__.py index 0564cfa7..bab87115 100644 --- a/wqflask/wqflask/__init__.py +++ b/wqflask/wqflask/__init__.py @@ -7,11 +7,11 @@ from flask import g from flask import Flask from utility import formatting from wqflask.markdown_routes import glossary_blueprint -from wqflask.markdown_routes import references_blueprint -from wqflask.markdown_routes import links_blueprint +from wqflask.markdown_routes import references_blueprint +from wqflask.markdown_routes import links_blueprint from wqflask.markdown_routes import policies_blueprint -from wqflask.markdown_routes import environments_blueprint -from wqflask.markdown_routes import facilities_blueprint +from wqflask.markdown_routes import environments_blueprint +from wqflask.markdown_routes import facilities_blueprint app = Flask(__name__) diff --git a/wqflask/wqflask/api/correlation.py b/wqflask/wqflask/api/correlation.py index f5b50dcd..e0b7fea0 100644 --- a/wqflask/wqflask/api/correlation.py +++ b/wqflask/wqflask/api/correlation.py @@ -16,16 +16,16 @@ from utility import webqtlUtil, helper_functions, corr_result_helpers from utility.benchmark import Bench import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) def do_correlation(start_vars): assert('db' in start_vars) assert('target_db' in start_vars) assert('trait_id' in start_vars) - this_dataset = data_set.create_dataset(dataset_name = start_vars['db']) - target_dataset = data_set.create_dataset(dataset_name = start_vars['target_db']) - this_trait = create_trait(dataset = this_dataset, name = start_vars['trait_id']) + this_dataset = data_set.create_dataset(dataset_name=start_vars['db']) + target_dataset = data_set.create_dataset(dataset_name=start_vars['target_db']) + this_trait = create_trait(dataset=this_dataset, name=start_vars['trait_id']) this_trait = retrieve_sample_data(this_trait, this_dataset) corr_params = init_corr_params(start_vars) @@ -38,26 +38,26 @@ def do_correlation(start_vars): if corr_params['type'] == "tissue": [sample_r, num_overlap, sample_p, symbol] = corr_results[trait] result_dict = { - "trait" : trait, - "sample_r" : sample_r, - "#_strains" : num_overlap, - "p_value" : sample_p, - "symbol" : symbol + "trait": trait, + "sample_r": sample_r, + "#_strains": num_overlap, + "p_value": sample_p, + "symbol": symbol } elif corr_params['type'] == "literature" or corr_params['type'] == "lit": [gene_id, sample_r] = corr_results[trait] result_dict = { - "trait" : trait, - "sample_r" : sample_r, - "gene_id" : gene_id + "trait": trait, + "sample_r": sample_r, + "gene_id": gene_id } else: [sample_r, sample_p, num_overlap] = corr_results[trait] result_dict = { - "trait" : trait, - "sample_r" : sample_r, - "#_strains" : num_overlap, - "p_value" : sample_p + "trait": trait, + "sample_r": sample_r, + "#_strains": num_overlap, + "p_value": sample_p } final_results.append(result_dict) @@ -76,7 +76,7 @@ def calculate_results(this_trait, this_dataset, target_dataset, corr_params): corr_results = do_tissue_correlation_for_all_traits(this_trait, trait_symbol_dict, corr_params) sorted_results = collections.OrderedDict(sorted(list(corr_results.items()), key=lambda t: -abs(t[1][1]))) - elif corr_params['type'] == "literature" or corr_params['type'] == "lit": #ZS: Just so a user can use either "lit" or "literature" + elif corr_params['type'] == "literature" or corr_params['type'] == "lit": # ZS: Just so a user can use either "lit" or "literature" trait_geneid_dict = this_dataset.retrieve_genes("GeneId") corr_results = do_literature_correlation_for_all_traits(this_trait, this_dataset, trait_geneid_dict, corr_params) sorted_results = collections.OrderedDict(sorted(list(corr_results.items()), @@ -92,8 +92,8 @@ def calculate_results(this_trait, this_dataset, target_dataset, corr_params): return sorted_results def do_tissue_correlation_for_all_traits(this_trait, trait_symbol_dict, corr_params, tissue_dataset_id=1): - #Gets tissue expression values for the primary trait - primary_trait_tissue_vals_dict = correlation_functions.get_trait_symbol_and_tissue_values(symbol_list = [this_trait.symbol]) + # Gets tissue expression values for the primary trait + primary_trait_tissue_vals_dict = correlation_functions.get_trait_symbol_and_tissue_values(symbol_list=[this_trait.symbol]) if this_trait.symbol.lower() in primary_trait_tissue_vals_dict: primary_trait_tissue_values = primary_trait_tissue_vals_dict[this_trait.symbol.lower()] @@ -227,9 +227,9 @@ def init_corr_params(start_vars): return_count = int(start_vars['return_count']) corr_params = { - 'method' : method, - 'type' : type, - 'return_count' : return_count + 'method': method, + 'type': type, + 'return_count': return_count } return corr_params diff --git a/wqflask/wqflask/api/gen_menu.py b/wqflask/wqflask/api/gen_menu.py index eaddecd7..a64524dd 100644 --- a/wqflask/wqflask/api/gen_menu.py +++ b/wqflask/wqflask/api/gen_menu.py @@ -87,14 +87,14 @@ def phenotypes_exist(group_name): results = g.db.execute( ("SELECT Name FROM PublishFreeze " "WHERE PublishFreeze.Name = " - "'{}'").format(group_name+"Publish")).fetchone() + "'{}'").format(group_name + "Publish")).fetchone() return bool(results) def genotypes_exist(group_name): results = g.db.execute( ("SELECT Name FROM GenoFreeze " + - "WHERE GenoFreeze.Name = '{}'").format(group_name+"Geno")).fetchone() + "WHERE GenoFreeze.Name = '{}'").format(group_name + "Geno")).fetchone() return bool(results) diff --git a/wqflask/wqflask/api/mapping.py b/wqflask/wqflask/api/mapping.py index d59a69df..fbfbc879 100644 --- a/wqflask/wqflask/api/mapping.py +++ b/wqflask/wqflask/api/mapping.py @@ -8,15 +8,15 @@ from utility import helper_functions from wqflask.marker_regression import gemma_mapping, rqtl_mapping, qtlreaper_mapping, plink_mapping import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) def do_mapping_for_api(start_vars): assert('db' in start_vars) assert('trait_id' in start_vars) - dataset = data_set.create_dataset(dataset_name = start_vars['db']) + dataset = data_set.create_dataset(dataset_name=start_vars['db']) dataset.group.get_markers() - this_trait = create_trait(dataset = dataset, name = start_vars['trait_id']) + this_trait = create_trait(dataset=dataset, name=start_vars['trait_id']) this_trait = retrieve_sample_data(this_trait, dataset) samples = [] @@ -36,11 +36,11 @@ def do_mapping_for_api(start_vars): mapping_params = initialize_parameters(start_vars, dataset, this_trait) - covariates = "" #ZS: It seems to take an empty string as default. This should probably be changed. + covariates = "" # ZS: It seems to take an empty string as default. This should probably be changed. if mapping_params['mapping_method'] == "gemma": header_row = ["name", "chr", "Mb", "lod_score", "p_value"] - if mapping_params['use_loco'] == "True": #ZS: gemma_mapping returns both results and the filename for LOCO, so need to only grab the former for api + if mapping_params['use_loco'] == "True": # ZS: gemma_mapping returns both results and the filename for LOCO, so need to only grab the former for api result_markers = gemma_mapping.run_gemma(this_trait, dataset, samples, vals, covariates, mapping_params['use_loco'], mapping_params['maf'])[0] else: result_markers = gemma_mapping.run_gemma(this_trait, dataset, samples, vals, covariates, mapping_params['use_loco'], mapping_params['maf']) @@ -118,7 +118,7 @@ def initialize_parameters(start_vars, dataset, this_trait): mapping_params['maf'] = 0.01 if 'maf' in start_vars: - mapping_params['maf'] = start_vars['maf'] # Minor allele frequency + mapping_params['maf'] = start_vars['maf'] # Minor allele frequency mapping_params['use_loco'] = True if 'use_loco' in start_vars: diff --git a/wqflask/wqflask/api/router.py b/wqflask/wqflask/api/router.py index 60e163f2..b0559a07 100644 --- a/wqflask/wqflask/api/router.py +++ b/wqflask/wqflask/api/router.py @@ -23,13 +23,13 @@ from wqflask.api import correlation, mapping, gen_menu from utility.tools import flat_files import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) version = "pre1" @app.route("/api/v_{}/".format(version)) def hello_world(): - return flask.jsonify({"hello":"world"}) + return flask.jsonify({"hello": "world"}) @app.route("/api/v_{}/species".format(version)) def get_species_list(): @@ -38,10 +38,10 @@ def get_species_list(): species_list = [] for species in the_species: species_dict = { - "Id" : species[0], - "Name" : species[1], - "FullName" : species[2], - "TaxonomyId" : species[3] + "Id": species[0], + "Name": species[1], + "FullName": species[2], + "TaxonomyId": species[3] } species_list.append(species_dict) @@ -49,17 +49,17 @@ def get_species_list(): @app.route("/api/v_{}/species/<path:species_name>".format(version)) @app.route("/api/v_{}/species/<path:species_name>.<path:file_format>".format(version)) -def get_species_info(species_name, file_format = "json"): +def get_species_info(species_name, file_format="json"): results = g.db.execute("""SELECT SpeciesId, Name, FullName, TaxonomyId FROM Species WHERE (Name="{0}" OR FullName="{0}" OR SpeciesName="{0}");""".format(species_name)) the_species = results.fetchone() species_dict = { - "Id" : the_species[0], - "Name" : the_species[1], - "FullName" : the_species[2], - "TaxonomyId" : the_species[3] + "Id": the_species[0], + "Name": the_species[1], + "FullName": the_species[2], + "TaxonomyId": the_species[3] } return flask.jsonify(species_dict) @@ -87,14 +87,14 @@ def get_groups_list(species_name=None): groups_list = [] for group in the_groups: group_dict = { - "Id" : group[0], - "SpeciesId" : group[1], - "DisplayName" : group[2], - "Name" : group[3], - "FullName" : group[4], - "public" : group[5], - "MappingMethodId" : group[6], - "GeneticType" : group[7] + "Id": group[0], + "SpeciesId": group[1], + "DisplayName": group[2], + "Name": group[3], + "FullName": group[4], + "public": group[5], + "MappingMethodId": group[6], + "GeneticType": group[7] } groups_list.append(group_dict) @@ -106,7 +106,7 @@ def get_groups_list(species_name=None): @app.route("/api/v_{}/group/<path:group_name>.<path:file_format>".format(version)) @app.route("/api/v_{}/group/<path:species_name>/<path:group_name>".format(version)) @app.route("/api/v_{}/group/<path:species_name>/<path:group_name>.<path:file_format>".format(version)) -def get_group_info(group_name, species_name = None, file_format = "json"): +def get_group_info(group_name, species_name=None, file_format="json"): if species_name: results = g.db.execute("""SELECT InbredSet.InbredSetId, InbredSet.SpeciesId, InbredSet.InbredSetName, InbredSet.Name, InbredSet.FullName, InbredSet.public, @@ -131,14 +131,14 @@ def get_group_info(group_name, species_name = None, file_format = "json"): group = results.fetchone() if group: group_dict = { - "Id" : group[0], - "SpeciesId" : group[1], - "DisplayName" : group[2], - "Name" : group[3], - "FullName" : group[4], - "public" : group[5], - "MappingMethodId" : group[6], - "GeneticType" : group[7] + "Id": group[0], + "SpeciesId": group[1], + "DisplayName": group[2], + "Name": group[3], + "FullName": group[4], + "public": group[5], + "MappingMethodId": group[6], + "GeneticType": group[7] } return flask.jsonify(group_dict) @@ -179,17 +179,17 @@ def get_datasets_for_group(group_name, species_name=None): datasets_list = [] for dataset in the_datasets: dataset_dict = { - "Id" : dataset[0], - "ProbeFreezeId" : dataset[1], - "AvgID" : dataset[2], - "Short_Abbreviation" : dataset[3], - "Long_Abbreviation" : dataset[4], - "FullName" : dataset[5], - "ShortName" : dataset[6], - "CreateTime" : dataset[7], - "public" : dataset[8], - "confidentiality" : dataset[9], - "DataScale" : dataset[10] + "Id": dataset[0], + "ProbeFreezeId": dataset[1], + "AvgID": dataset[2], + "Short_Abbreviation": dataset[3], + "Long_Abbreviation": dataset[4], + "FullName": dataset[5], + "ShortName": dataset[6], + "CreateTime": dataset[7], + "public": dataset[8], + "confidentiality": dataset[9], + "DataScale": dataset[10] } datasets_list.append(dataset_dict) @@ -201,10 +201,10 @@ def get_datasets_for_group(group_name, species_name=None): @app.route("/api/v_{}/dataset/<path:dataset_name>.<path:file_format>".format(version)) @app.route("/api/v_{}/dataset/<path:group_name>/<path:dataset_name>".format(version)) @app.route("/api/v_{}/dataset/<path:group_name>/<path:dataset_name>.<path:file_format>".format(version)) -def get_dataset_info(dataset_name, group_name = None, file_format="json"): - #ZS: First get ProbeSet (mRNA expression) datasets and then get Phenotype datasets +def get_dataset_info(dataset_name, group_name=None, file_format="json"): + # ZS: First get ProbeSet (mRNA expression) datasets and then get Phenotype datasets - datasets_list = [] #ZS: I figure I might as well return a list if there are multiple matches, though I don"t know if this will actually happen in practice + datasets_list = [] # ZS: I figure I might as well return a list if there are multiple matches, though I don"t know if this will actually happen in practice probeset_query = """ SELECT ProbeSetFreeze.Id, ProbeSetFreeze.Name, ProbeSetFreeze.FullName, @@ -235,16 +235,16 @@ def get_dataset_info(dataset_name, group_name = None, file_format="json"): if dataset: dataset_dict = { - "dataset_type" : "mRNA expression", - "id" : dataset[0], - "name" : dataset[1], - "full_name" : dataset[2], - "short_name" : dataset[3], - "data_scale" : dataset[4], - "tissue_id" : dataset[5], - "tissue" : dataset[6], - "public" : dataset[7], - "confidential" : dataset[8] + "dataset_type": "mRNA expression", + "id": dataset[0], + "name": dataset[1], + "full_name": dataset[2], + "short_name": dataset[3], + "data_scale": dataset[4], + "tissue_id": dataset[5], + "tissue": dataset[6], + "public": dataset[7], + "confidential": dataset[8] } datasets_list.append(dataset_dict) @@ -272,25 +272,25 @@ def get_dataset_info(dataset_name, group_name = None, file_format="json"): if dataset: if dataset[5]: dataset_dict = { - "dataset_type" : "phenotype", - "id" : dataset[0], - "name" : dataset[1], - "description" : dataset[2], - "pubmed_id" : dataset[5], - "title" : dataset[6], - "year" : dataset[7] + "dataset_type": "phenotype", + "id": dataset[0], + "name": dataset[1], + "description": dataset[2], + "pubmed_id": dataset[5], + "title": dataset[6], + "year": dataset[7] } elif dataset[4]: dataset_dict = { - "dataset_type" : "phenotype", - "id" : dataset[0], - "name" : dataset[3], - "description" : dataset[4] + "dataset_type": "phenotype", + "id": dataset[0], + "name": dataset[3], + "description": dataset[4] } else: dataset_dict = { - "dataset_type" : "phenotype", - "id" : dataset[0] + "dataset_type": "phenotype", + "id": dataset[0] } datasets_list.append(dataset_dict) @@ -304,7 +304,7 @@ def get_dataset_info(dataset_name, group_name = None, file_format="json"): @app.route("/api/v_{}/traits/<path:dataset_name>".format(version), methods=("GET",)) @app.route("/api/v_{}/traits/<path:dataset_name>.<path:file_format>".format(version), methods=("GET",)) -def fetch_traits(dataset_name, file_format = "json"): +def fetch_traits(dataset_name, file_format="json"): trait_ids, trait_names, data_type, dataset_id = get_dataset_trait_ids(dataset_name, request.args) if ("ids_only" in request.args) and (len(trait_ids) > 0): if file_format == "json": @@ -432,7 +432,7 @@ def fetch_traits(dataset_name, file_format = "json"): @app.route("/api/v_{}/sample_data/<path:dataset_name>".format(version)) @app.route("/api/v_{}/sample_data/<path:dataset_name>.<path:file_format>".format(version)) -def all_sample_data(dataset_name, file_format = "csv"): +def all_sample_data(dataset_name, file_format="csv"): trait_ids, trait_names, data_type, dataset_id = get_dataset_trait_ids(dataset_name, request.args) if len(trait_ids) > 0: @@ -538,7 +538,7 @@ def all_sample_data(dataset_name, file_format = "csv"): @app.route("/api/v_{}/sample_data/<path:dataset_name>/<path:trait_name>".format(version)) @app.route("/api/v_{}/sample_data/<path:dataset_name>/<path:trait_name>.<path:file_format>".format(version)) -def trait_sample_data(dataset_name, trait_name, file_format = "json"): +def trait_sample_data(dataset_name, trait_name, file_format="json"): probeset_query = """ SELECT Strain.Name, Strain.Name2, ProbeSetData.value, ProbeSetData.Id, ProbeSetSE.error @@ -610,10 +610,10 @@ def trait_sample_data(dataset_name, trait_name, file_format = "json"): sample_list = [] for sample in sample_data: sample_dict = { - "sample_name" : sample[0], - "sample_name_2" : sample[1], - "value" : sample[2], - "data_id" : sample[3] + "sample_name": sample[0], + "sample_name_2": sample[1], + "value": sample[2], + "data_id": sample[3] } if sample[4]: sample_dict["se"] = sample[4] @@ -629,7 +629,7 @@ def trait_sample_data(dataset_name, trait_name, file_format = "json"): @app.route("/api/v_{}/trait/<path:dataset_name>/<path:trait_name>.<path:file_format>".format(version)) @app.route("/api/v_{}/trait_info/<path:dataset_name>/<path:trait_name>".format(version)) @app.route("/api/v_{}/trait_info/<path:dataset_name>/<path:trait_name>.<path:file_format>".format(version)) -def get_trait_info(dataset_name, trait_name, file_format = "json"): +def get_trait_info(dataset_name, trait_name, file_format="json"): probeset_query = """ SELECT ProbeSet.Id, ProbeSet.Name, ProbeSet.Symbol, ProbeSet.description, ProbeSet.Chr, ProbeSet.Mb, ProbeSet.alias, @@ -648,24 +648,24 @@ def get_trait_info(dataset_name, trait_name, file_format = "json"): trait_info = probeset_results.fetchone() if trait_info: trait_dict = { - "id" : trait_info[0], - "name" : trait_info[1], - "symbol" : trait_info[2], - "description" : trait_info[3], - "chr" : trait_info[4], - "mb" : trait_info[5], - "alias" :trait_info[6], - "mean" : trait_info[7], - "se" : trait_info[8], - "locus" : trait_info[9], - "lrs" : trait_info[10], - "p_value" : trait_info[11], - "additive" : trait_info[12] + "id": trait_info[0], + "name": trait_info[1], + "symbol": trait_info[2], + "description": trait_info[3], + "chr": trait_info[4], + "mb": trait_info[5], + "alias": trait_info[6], + "mean": trait_info[7], + "se": trait_info[8], + "locus": trait_info[9], + "lrs": trait_info[10], + "p_value": trait_info[11], + "additive": trait_info[12] } return flask.jsonify(trait_dict) else: - if "Publish" in dataset_name: #ZS: Check if the user input the dataset_name as BXDPublish, etc (which is always going to be the group name + "Publish" + if "Publish" in dataset_name: # ZS: Check if the user input the dataset_name as BXDPublish, etc (which is always going to be the group name + "Publish" dataset_name = dataset_name.replace("Publish", "") group_id = get_group_id(dataset_name) @@ -684,10 +684,10 @@ def get_trait_info(dataset_name, trait_name, file_format = "json"): trait_info = pheno_results.fetchone() if trait_info: trait_dict = { - "id" : trait_info[0], - "locus" : trait_info[1], - "lrs" : trait_info[2], - "additive" : trait_info[3] + "id": trait_info[0], + "locus": trait_info[1], + "lrs": trait_info[2], + "additive": trait_info[3] } return flask.jsonify(trait_dict) @@ -699,7 +699,7 @@ def get_corr_results(): results = correlation.do_correlation(request.args) if len(results) > 0: - return flask.jsonify(results) #ZS: I think flask.jsonify expects a dict/list instead of JSON + return flask.jsonify(results) # ZS: I think flask.jsonify expects a dict/list instead of JSON else: return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") @@ -754,7 +754,7 @@ def get_genotypes(group_name, file_format="csv", dataset_name=None): output_lines.append(line.split()) i += 1 - csv_writer = csv.writer(si, delimiter = "\t", escapechar = "\\", quoting = csv.QUOTE_NONE) + csv_writer = csv.writer(si, delimiter="\t", escapechar="\\", quoting = csv.QUOTE_NONE) else: return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") elif file_format == "rqtl2": @@ -802,7 +802,7 @@ def get_genotypes(group_name, file_format="csv", dataset_name=None): output_lines.append([line.strip() for line in line.split(",")]) i += 1 - csv_writer = csv.writer(si, delimiter = ",") + csv_writer = csv.writer(si, delimiter=",") else: return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") @@ -826,8 +826,8 @@ def return_error(code, source, title, details): json_ob = {"errors": [ { "status": code, - "source": { "pointer": source }, - "title" : title, + "source": {"pointer": source}, + "title": title, "detail": details } ]} @@ -842,8 +842,8 @@ def get_dataset_trait_ids(dataset_name, start_vars): limit_string = "" if "Geno" in dataset_name: - data_type = "Geno" #ZS: Need to pass back the dataset type - query = """ + data_type = "Geno" # ZS: Need to pass back the dataset type + query = """ SELECT GenoXRef.GenoId, Geno.Name, GenoXRef.GenoFreezeId FROM diff --git a/wqflask/wqflask/collect.py b/wqflask/wqflask/collect.py index 0291f2b8..6a1b88ca 100644 --- a/wqflask/wqflask/collect.py +++ b/wqflask/wqflask/collect.py @@ -68,18 +68,18 @@ def collections_add(): uc_id = g.user_session.add_collection(collection_name, set()) collections = g.user_session.user_collections - #ZS: One of these might be unnecessary + # ZS: One of these might be unnecessary if 'traits' in request.args: - traits=request.args['traits'] + traits = request.args['traits'] return render_template("collections/add.html", - traits = traits, - collections = collections, + traits=traits, + collections=collections, ) else: hash = request.args['hash'] return render_template("collections/add.html", - hash = hash, - collections = collections, + hash=hash, + collections=collections, ) @app.route("/collections/new") @@ -139,8 +139,8 @@ def list_collections(): user_collections = list(g.user_session.user_collections) return render_template("collections/list.html", - params = params, - collections = user_collections, + params=params, + collections=user_collections, ) @app.route("/collections/remove", methods=('POST',)) @@ -196,7 +196,7 @@ def view_collection(): name, dataset_name = atrait.split(':') if dataset_name == "Temp": group = name.split("_")[2] - dataset = create_dataset(dataset_name, dataset_type = "Temp", group_name = group) + dataset = create_dataset(dataset_name, dataset_type="Temp", group_name=group) trait_ob = create_trait(name=name, dataset=dataset) else: dataset = create_dataset(dataset_name) @@ -207,7 +207,7 @@ def view_collection(): json_version.append(jsonable(trait_ob)) collection_info = dict(trait_obs=trait_obs, - uc = uc) + uc=uc) if "json" in params: return json.dumps(json_version) diff --git a/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py b/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py index 5855ccf0..c135faa3 100644 --- a/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py +++ b/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py @@ -1,4 +1,4 @@ -## Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# Copyright (C) University of Tennessee Health Science Center, Memphis, TN. # # This program is free software: you can redistribute it and/or modify it # under the terms of the GNU Affero General Public License @@ -23,7 +23,7 @@ from pprint import pformat as pf from base.trait import create_trait from base import data_set from utility import webqtlUtil, helper_functions, corr_result_helpers -import utility.webqtlUtil #this is for parallel computing only. +import utility.webqtlUtil # this is for parallel computing only. from wqflask.correlation import correlation_functions from MySQLdb import escape_string as escape @@ -41,7 +41,7 @@ class ComparisonBarChart: self.all_sample_list = [] self.traits = [] self.insufficient_shared_samples = False - this_group = self.trait_list[0][1].group.name #ZS: Getting initial group name before verifying all traits are in the same group in the following loop + this_group = self.trait_list[0][1].group.name # ZS: Getting initial group name before verifying all traits are in the same group in the following loop for trait_db in self.trait_list: if trait_db[1].group.name != this_group: @@ -74,9 +74,9 @@ class ComparisonBarChart: this_trait_vals.append('') self.sample_data.append(this_trait_vals) - self.js_data = dict(traits = [trait.name for trait in self.traits], - samples = self.all_sample_list, - sample_data = self.sample_data,) + self.js_data = dict(traits=[trait.name for trait in self.traits], + samples=self.all_sample_list, + sample_data=self.sample_data,) def get_trait_db_obs(self, trait_db_list): diff --git a/wqflask/wqflask/correlation/corr_scatter_plot.py b/wqflask/wqflask/correlation/corr_scatter_plot.py index d5dc26f5..22941ad5 100644 --- a/wqflask/wqflask/correlation/corr_scatter_plot.py +++ b/wqflask/wqflask/correlation/corr_scatter_plot.py @@ -9,18 +9,18 @@ from scipy import stats import numpy as np import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) class CorrScatterPlot: """Page that displays a correlation scatterplot with a line fitted to it""" def __init__(self, params): if "Temp" in params['dataset_1']: - self.dataset_1 = data_set.create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = params['dataset_1'].split("_")[1]) + self.dataset_1 = data_set.create_dataset(dataset_name="Temp", dataset_type="Temp", group_name = params['dataset_1'].split("_")[1]) else: self.dataset_1 = data_set.create_dataset(params['dataset_1']) if "Temp" in params['dataset_2']: - self.dataset_2 = data_set.create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = params['dataset_2'].split("_")[1]) + self.dataset_2 = data_set.create_dataset(dataset_name="Temp", dataset_type="Temp", group_name = params['dataset_2'].split("_")[1]) else: self.dataset_2 = data_set.create_dataset(params['dataset_2']) @@ -60,8 +60,8 @@ class CorrScatterPlot: else: slope_string = '%.3f' % slope - x_buffer = (max(vals_1) - min(vals_1))*0.1 - y_buffer = (max(vals_2) - min(vals_2))*0.1 + x_buffer = (max(vals_1) - min(vals_1)) * 0.1 + y_buffer = (max(vals_2) - min(vals_2)) * 0.1 x_range = [min(vals_1) - x_buffer, max(vals_1) + x_buffer] y_range = [min(vals_2) - y_buffer, max(vals_2) + y_buffer] @@ -80,8 +80,8 @@ class CorrScatterPlot: else: srslope_string = '%.3f' % srslope - x_buffer = (max(rx) - min(rx))*0.1 - y_buffer = (max(ry) - min(ry))*0.1 + x_buffer = (max(rx) - min(rx)) * 0.1 + y_buffer = (max(ry) - min(ry)) * 0.1 sr_range = [min(rx) - x_buffer, max(rx) + x_buffer] @@ -92,33 +92,33 @@ class CorrScatterPlot: self.collections_exist = "True" self.js_data = dict( - data = self.data, - rdata = self.rdata, - indIDs = self.indIDs, - trait_1 = self.trait_1.dataset.name + ": " + str(self.trait_1.name), - trait_2 = self.trait_2.dataset.name + ": " + str(self.trait_2.name), - samples_1 = samples_1, - samples_2 = samples_2, - num_overlap = num_overlap, - vals_1 = vals_1, - vals_2 = vals_2, - x_range = x_range, - y_range = y_range, - sr_range = sr_range, - intercept_coords = intercept_coords, - sr_intercept_coords = sr_intercept_coords, - - slope = slope, - slope_string = slope_string, - intercept = intercept, - r_value = r_value, - p_value = p_value, - - srslope = srslope, - srslope_string = srslope_string, - srintercept = srintercept, - srr_value = srr_value, - srp_value = srp_value + data=self.data, + rdata=self.rdata, + indIDs=self.indIDs, + trait_1=self.trait_1.dataset.name + ": " + str(self.trait_1.name), + trait_2=self.trait_2.dataset.name + ": " + str(self.trait_2.name), + samples_1=samples_1, + samples_2=samples_2, + num_overlap=num_overlap, + vals_1=vals_1, + vals_2=vals_2, + x_range=x_range, + y_range=y_range, + sr_range=sr_range, + intercept_coords=intercept_coords, + sr_intercept_coords=sr_intercept_coords, + + slope=slope, + slope_string=slope_string, + intercept=intercept, + r_value=r_value, + p_value=p_value, + + srslope=srslope, + srslope_string=srslope_string, + srintercept=srintercept, + srr_value=srr_value, + srp_value=srp_value #trait3 = self.trait_3.data, #vals_3 = vals_3 @@ -129,10 +129,10 @@ class CorrScatterPlot: def get_intercept_coords(slope, intercept, x_range, y_range): intercept_coords = [] - y1 = slope*x_range[0] + intercept - y2 = slope*x_range[1] + intercept - x1 = (y1-intercept)/slope - x2 = (y2-intercept)/slope + y1 = slope * x_range[0] + intercept + y2 = slope * x_range[1] + intercept + x1 = (y1 - intercept) / slope + x2 = (y2 - intercept) / slope intercept_coords.append([x1, y1]) intercept_coords.append([x2, y2]) diff --git a/wqflask/wqflask/correlation/correlation_functions.py b/wqflask/wqflask/correlation/correlation_functions.py index fd7691d4..0f24241a 100644 --- a/wqflask/wqflask/correlation/correlation_functions.py +++ b/wqflask/wqflask/correlation/correlation_functions.py @@ -34,19 +34,19 @@ from flask import Flask, g ##################################################################################### -#Input: primaryValue(list): one list of expression values of one probeSet, +# Input: primaryValue(list): one list of expression values of one probeSet, # targetValue(list): one list of expression values of one probeSet, # method(string): indicate correlation method ('pearson' or 'spearman') -#Output: corr_result(list): first item is Correlation Value, second item is tissue number, +# Output: corr_result(list): first item is Correlation Value, second item is tissue number, # third item is PValue -#Function: get correlation value,Tissue quantity ,p value result by using R; -#Note : This function is special case since both primaryValue and targetValue are from -#the same dataset. So the length of these two parameters is the same. They are pairs. -#Also, in the datatable TissueProbeSetData, all Tissue values are loaded based on -#the same tissue order +# Function: get correlation value,Tissue quantity ,p value result by using R; +# Note : This function is special case since both primaryValue and targetValue are from +# the same dataset. So the length of these two parameters is the same. They are pairs. +# Also, in the datatable TissueProbeSetData, all Tissue values are loaded based on +# the same tissue order ##################################################################################### -def cal_zero_order_corr_for_tiss (primaryValue=[], targetValue=[], method='pearson'): +def cal_zero_order_corr_for_tiss(primaryValue=[], targetValue=[], method='pearson'): R_primary = rpy2.robjects.FloatVector(list(range(len(primaryValue)))) N = len(primaryValue) @@ -55,27 +55,27 @@ def cal_zero_order_corr_for_tiss (primaryValue=[], targetValue=[], method='pears R_target = rpy2.robjects.FloatVector(list(range(len(targetValue)))) for i in range(len(targetValue)): - R_target[i]=targetValue[i] + R_target[i] = targetValue[i] R_corr_test = rpy2.robjects.r['cor.test'] - if method =='spearman': + if method == 'spearman': R_result = R_corr_test(R_primary, R_target, method='spearman') else: R_result = R_corr_test(R_primary, R_target) - corr_result =[] - corr_result.append( R_result[3][0]) - corr_result.append( N ) - corr_result.append( R_result[2][0]) + corr_result = [] + corr_result.append(R_result[3][0]) + corr_result.append(N) + corr_result.append(R_result[2][0]) return corr_result ######################################################################################################## -#input: cursor, symbolList (list), dataIdDict(Dict): key is symbol -#output: SymbolValuePairDict(dictionary):one dictionary of Symbol and Value Pair. +# input: cursor, symbolList (list), dataIdDict(Dict): key is symbol +# output: SymbolValuePairDict(dictionary):one dictionary of Symbol and Value Pair. # key is symbol, value is one list of expression values of one probeSet. -#function: wrapper function for getSymbolValuePairDict function +# function: wrapper function for getSymbolValuePairDict function # build gene symbol list if necessary, cut it into small lists if necessary, # then call getSymbolValuePairDict function and merge the results. ######################################################################################################## diff --git a/wqflask/wqflask/correlation/show_corr_results.py b/wqflask/wqflask/correlation/show_corr_results.py index cb341e79..051ac1cb 100644 --- a/wqflask/wqflask/correlation/show_corr_results.py +++ b/wqflask/wqflask/correlation/show_corr_results.py @@ -1,4 +1,4 @@ -## Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# Copyright (C) University of Tennessee Health Science Center, Memphis, TN. # # This program is free software: you can redistribute it and/or modify it # under the terms of the GNU Affero General Public License @@ -78,7 +78,7 @@ class CorrelationResults: with Bench("Doing correlations"): if start_vars['dataset'] == "Temp": - self.dataset = data_set.create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = start_vars['group']) + self.dataset = data_set.create_dataset(dataset_name="Temp", dataset_type="Temp", group_name = start_vars['group']) self.trait_id = start_vars['trait_id'] self.this_trait = create_trait(dataset=self.dataset, name=self.trait_id, @@ -109,8 +109,8 @@ class CorrelationResults: self.get_formatted_corr_type() self.return_number = int(start_vars['corr_return_results']) - #The two if statements below append samples to the sample list based upon whether the user - #rselected Primary Samples Only, Other Samples Only, or All Samples + # The two if statements below append samples to the sample list based upon whether the user + # rselected Primary Samples Only, Other Samples Only, or All Samples primary_samples = self.dataset.group.samplelist if self.dataset.group.parlist != None: @@ -118,13 +118,13 @@ class CorrelationResults: if self.dataset.group.f1list != None: primary_samples += self.dataset.group.f1list - #If either BXD/whatever Only or All Samples, append all of that group's samplelist + # If either BXD/whatever Only or All Samples, append all of that group's samplelist if corr_samples_group != 'samples_other': self.process_samples(start_vars, primary_samples) - #If either Non-BXD/whatever or All Samples, get all samples from this_trait.data and - #exclude the primary samples (because they would have been added in the previous - #if statement if the user selected All Samples) + # If either Non-BXD/whatever or All Samples, get all samples from this_trait.data and + # exclude the primary samples (because they would have been added in the previous + # if statement if the user selected All Samples) if corr_samples_group != 'samples_primary': if corr_samples_group == 'samples_other': primary_samples = [x for x in primary_samples if x not in ( @@ -173,7 +173,7 @@ class CorrelationResults: key=lambda t: -abs(t[1][0]))) - #ZS: Convert min/max chromosome to an int for the location range option + # ZS: Convert min/max chromosome to an int for the location range option range_chr_as_int = None for order_id, chr_info in list(self.dataset.species.chromosomes.chromosomes.items()): if 'loc_chr' in start_vars: @@ -259,15 +259,15 @@ class CorrelationResults: def do_tissue_correlation_for_trait_list(self, tissue_dataset_id=1): """Given a list of correlation results (self.correlation_results), gets the tissue correlation value for each""" - #Gets tissue expression values for the primary trait + # Gets tissue expression values for the primary trait primary_trait_tissue_vals_dict = correlation_functions.get_trait_symbol_and_tissue_values( - symbol_list = [self.this_trait.symbol]) + symbol_list=[self.this_trait.symbol]) if self.this_trait.symbol.lower() in primary_trait_tissue_vals_dict: primary_trait_tissue_values = primary_trait_tissue_vals_dict[self.this_trait.symbol.lower()] gene_symbol_list = [trait.symbol for trait in self.correlation_results if trait.symbol] - corr_result_tissue_vals_dict= correlation_functions.get_trait_symbol_and_tissue_values( + corr_result_tissue_vals_dict = correlation_functions.get_trait_symbol_and_tissue_values( symbol_list=gene_symbol_list) for trait in self.correlation_results: @@ -282,15 +282,15 @@ class CorrelationResults: trait.tissue_pvalue = result[2] def do_tissue_correlation_for_all_traits(self, tissue_dataset_id=1): - #Gets tissue expression values for the primary trait + # Gets tissue expression values for the primary trait primary_trait_tissue_vals_dict = correlation_functions.get_trait_symbol_and_tissue_values( - symbol_list = [self.this_trait.symbol]) + symbol_list=[self.this_trait.symbol]) if self.this_trait.symbol.lower() in primary_trait_tissue_vals_dict: primary_trait_tissue_values = primary_trait_tissue_vals_dict[self.this_trait.symbol.lower()] #print("trait_gene_symbols: ", pf(trait_gene_symbols.values())) - corr_result_tissue_vals_dict= correlation_functions.get_trait_symbol_and_tissue_values( + corr_result_tissue_vals_dict = correlation_functions.get_trait_symbol_and_tissue_values( symbol_list=list(self.trait_symbol_dict.values())) #print("corr_result_tissue_vals: ", pf(corr_result_tissue_vals_dict)) @@ -443,7 +443,7 @@ class CorrelationResults: self.this_trait_vals, target_vals, num_overlap = corr_result_helpers.normalize_values(self.this_trait_vals, target_vals) if num_overlap > 5: - #ZS: 2015 could add biweight correlation, see http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465711/ + # ZS: 2015 could add biweight correlation, see http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465711/ if self.corr_method == 'bicor': sample_r, sample_p = do_bicor(self.this_trait_vals, target_vals) elif self.corr_method == 'pearson': @@ -475,16 +475,16 @@ def do_bicor(this_trait_vals, target_trait_vals): r_library("WGCNA") r_bicor = ro.r["bicorAndPvalue"] # Map the bicorAndPvalue function - r_options(stringsAsFactors = False) + r_options(stringsAsFactors=False) this_vals = ro.Vector(this_trait_vals) target_vals = ro.Vector(target_trait_vals) - the_r, the_p, _fisher_transform, _the_t, _n_obs = [numpy.asarray(x) for x in r_bicor(x = this_vals, y = target_vals)] + the_r, the_p, _fisher_transform, _the_t, _n_obs = [numpy.asarray(x) for x in r_bicor(x=this_vals, y=target_vals)] return the_r, the_p -def generate_corr_json(corr_results, this_trait, dataset, target_dataset, for_api = False): +def generate_corr_json(corr_results, this_trait, dataset, target_dataset, for_api=False): results_list = [] for i, trait in enumerate(corr_results): if trait.view == False: diff --git a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py index d0b4a156..94c8931f 100644 --- a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py +++ b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py @@ -1,4 +1,4 @@ -## Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# Copyright (C) University of Tennessee Health Science Center, Memphis, TN. # # This program is free software: you can redistribute it and/or modify it # under the terms of the GNU Affero General Public License @@ -52,7 +52,7 @@ class CorrelationMatrix: self.traits = [] self.insufficient_shared_samples = False self.do_PCA = True - this_group = self.trait_list[0][1].group.name #ZS: Getting initial group name before verifying all traits are in the same group in the following loop + this_group = self.trait_list[0][1].group.name # ZS: Getting initial group name before verifying all traits are in the same group in the following loop for trait_db in self.trait_list: this_group = trait_db[1].group.name this_trait = trait_db[0] @@ -76,10 +76,10 @@ class CorrelationMatrix: this_trait_vals.append('') self.sample_data.append(this_trait_vals) - if len(this_trait_vals) < len(self.trait_list): #Shouldn't do PCA if there are more traits than observations/samples + if len(this_trait_vals) < len(self.trait_list): # Shouldn't do PCA if there are more traits than observations/samples self.do_PCA = False - self.lowest_overlap = 8 #ZS: Variable set to the lowest overlapping samples in order to notify user, or 8, whichever is lower (since 8 is when we want to display warning) + self.lowest_overlap = 8 # ZS: Variable set to the lowest overlapping samples in order to notify user, or 8, whichever is lower (since 8 is when we want to display warning) self.corr_results = [] self.pca_corr_results = [] @@ -93,7 +93,7 @@ class CorrelationMatrix: corr_result_row = [] pca_corr_result_row = [] - is_spearman = False #ZS: To determine if it's above or below the diagonal + is_spearman = False # ZS: To determine if it's above or below the diagonal for target in self.trait_list: target_trait = target[0] target_db = target[1] @@ -168,12 +168,12 @@ class CorrelationMatrix: except: self.pca_works = "False" - self.js_data = dict(traits = [trait.name for trait in self.traits], - groups = groups, - cols = list(range(len(self.traits))), - rows = list(range(len(self.traits))), - samples = self.all_sample_list, - sample_data = self.sample_data,) + self.js_data = dict(traits=[trait.name for trait in self.traits], + groups=groups, + cols=list(range(len(self.traits))), + rows=list(range(len(self.traits))), + samples=self.all_sample_list, + sample_data=self.sample_data,) def calculate_pca(self, cols, corr_eigen_value, corr_eigen_vectors): base = importr('base') @@ -183,7 +183,7 @@ class CorrelationMatrix: m = robjects.r.matrix(corr_results_to_list, nrow=len(cols)) eigen = base.eigen(m) - pca = stats.princomp(m, cor = "TRUE") + pca = stats.princomp(m, cor="TRUE") self.loadings = pca.rx('loadings') self.scores = pca.rx('scores') self.scale = pca.rx('scale') @@ -193,15 +193,15 @@ class CorrelationMatrix: pca_traits = [] for i, vector in enumerate(trait_array_vectors): - #ZS: Check if below check is necessary - #if corr_eigen_value[i-1] > 100.0/len(self.trait_list): - pca_traits.append((vector*-1.0).tolist()) + # ZS: Check if below check is necessary + # if corr_eigen_value[i-1] > 100.0/len(self.trait_list): + pca_traits.append((vector * -1.0).tolist()) this_group_name = self.trait_list[0][1].group.name - temp_dataset = data_set.create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = this_group_name) + temp_dataset = data_set.create_dataset(dataset_name="Temp", dataset_type="Temp", group_name = this_group_name) temp_dataset.group.get_samplelist() for i, pca_trait in enumerate(pca_traits): - trait_id = "PCA" + str(i+1) + "_" + temp_dataset.group.species + "_" + this_group_name + "_" + datetime.datetime.now().strftime("%m%d%H%M%S") + trait_id = "PCA" + str(i + 1) + "_" + temp_dataset.group.species + "_" + this_group_name + "_" + datetime.datetime.now().strftime("%m%d%H%M%S") this_vals_string = "" position = 0 for sample in temp_dataset.group.all_samples_ordered(): @@ -228,7 +228,7 @@ class CorrelationMatrix: else: the_range = 2 for j in range(the_range): - position = i + len(self.trait_list)*j + position = i + len(self.trait_list) * j loadings_row.append(self.loadings[0][position]) loadings_array.append(loadings_row) return loadings_array @@ -271,14 +271,14 @@ def zScore(trait_data_array): i = 0 for data in trait_data_array: N = len(data) - S = reduce(lambda x, y: x+y, data, 0.) - SS = reduce(lambda x, y: x+y*y, data, 0.) - mean = S/N - var = SS - S*S/N - stdev = math.sqrt(var/(N-1)) + S = reduce(lambda x, y: x + y, data, 0.) + SS = reduce(lambda x, y: x + y * y, data, 0.) + mean = S / N + var = SS - S * S / N + stdev = math.sqrt(var / (N - 1)) if stdev == 0: stdev = 1e-100 - data2 = [(x-mean)/stdev for x in data] + data2 = [(x - mean) / stdev for x in data] trait_data_array[i] = data2 i += 1 return trait_data_array @@ -298,8 +298,8 @@ def sortEigenVectors(vector): for item in combines: A.append(item[0]) B.append(item[1]) - sum = reduce(lambda x, y: x+y, A, 0.0) - A = [x*100.0/sum for x in A] + sum = reduce(lambda x, y: x + y, A, 0.0) + A = [x * 100.0 / sum for x in A] return [A, B] except: return [] diff --git a/wqflask/wqflask/ctl/ctl_analysis.py b/wqflask/wqflask/ctl/ctl_analysis.py index 1556e370..2fa90a93 100644 --- a/wqflask/wqflask/ctl/ctl_analysis.py +++ b/wqflask/wqflask/ctl/ctl_analysis.py @@ -25,33 +25,33 @@ from utility.tools import locate, GN2_BRANCH_URL from rpy2.robjects.packages import importr import utility.logger -logger = utility.logger.getLogger(__name__ ) - -## Get pointers to some common R functions -r_library = ro.r["library"] # Map the library function -r_options = ro.r["options"] # Map the options function -r_t = ro.r["t"] # Map the t function -r_unlist = ro.r["unlist"] # Map the unlist function -r_list = ro.r.list # Map the list function -r_png = ro.r["png"] # Map the png function for plotting -r_dev_off = ro.r["dev.off"] # Map the dev.off function -r_write_table = ro.r["write.table"] # Map the write.table function -r_data_frame = ro.r["data.frame"] # Map the write.table function -r_as_numeric = ro.r["as.numeric"] # Map the write.table function +logger = utility.logger.getLogger(__name__) + +# Get pointers to some common R functions +r_library = ro.r["library"] # Map the library function +r_options = ro.r["options"] # Map the options function +r_t = ro.r["t"] # Map the t function +r_unlist = ro.r["unlist"] # Map the unlist function +r_list = ro.r.list # Map the list function +r_png = ro.r["png"] # Map the png function for plotting +r_dev_off = ro.r["dev.off"] # Map the dev.off function +r_write_table = ro.r["write.table"] # Map the write.table function +r_data_frame = ro.r["data.frame"] # Map the write.table function +r_as_numeric = ro.r["as.numeric"] # Map the write.table function class CTL: def __init__(self): logger.info("Initialization of CTL") #log = r_file("/tmp/genenetwork_ctl.log", open = "wt") - #r_sink(log) # Uncomment the r_sink() commands to log output from stdout/stderr to a file + # r_sink(log) # Uncomment the r_sink() commands to log output from stdout/stderr to a file #r_sink(log, type = "message") r_library("ctl") # Load CTL - Should only be done once, since it is quite expensive - r_options(stringsAsFactors = False) + r_options(stringsAsFactors=False) logger.info("Initialization of CTL done, package loaded in R session") - self.r_CTLscan = ro.r["CTLscan"] # Map the CTLscan function - self.r_CTLsignificant = ro.r["CTLsignificant"] # Map the CTLsignificant function - self.r_lineplot = ro.r["ctl.lineplot"] # Map the ctl.lineplot function - self.r_plotCTLobject = ro.r["plot.CTLobject"] # Map the CTLsignificant function + self.r_CTLscan = ro.r["CTLscan"] # Map the CTLscan function + self.r_CTLsignificant = ro.r["CTLsignificant"] # Map the CTLsignificant function + self.r_lineplot = ro.r["ctl.lineplot"] # Map the ctl.lineplot function + self.r_plotCTLobject = ro.r["plot.CTLobject"] # Map the CTLsignificant function self.nodes_list = [] self.edges_list = [] logger.info("Obtained pointers to CTL functions") @@ -59,23 +59,23 @@ class CTL: self.gn2_url = GN2_BRANCH_URL def addNode(self, gt): - node_dict = { 'data' : {'id' : str(gt.name) + ":" + str(gt.dataset.name), - 'sid' : str(gt.name), - 'dataset' : str(gt.dataset.name), - 'label' : gt.name, - 'symbol' : gt.symbol, - 'geneid' : gt.geneid, - 'omim' : gt.omim } } + node_dict = {'data': {'id': str(gt.name) + ":" + str(gt.dataset.name), + 'sid': str(gt.name), + 'dataset': str(gt.dataset.name), + 'label': gt.name, + 'symbol': gt.symbol, + 'geneid': gt.geneid, + 'omim': gt.omim}} self.nodes_list.append(node_dict) def addEdge(self, gtS, gtT, significant, x): - edge_data = {'id' : str(gtS.symbol) + '_' + significant[1][x] + '_' + str(gtT.symbol), - 'source' : str(gtS.name) + ":" + str(gtS.dataset.name), - 'target' : str(gtT.name) + ":" + str(gtT.dataset.name), - 'lod' : significant[3][x], - 'color' : "#ff0000", - 'width' : significant[3][x] } - edge_dict = { 'data' : edge_data } + edge_data = {'id': str(gtS.symbol) + '_' + significant[1][x] + '_' + str(gtT.symbol), + 'source': str(gtS.name) + ":" + str(gtS.dataset.name), + 'target': str(gtT.name) + ":" + str(gtT.dataset.name), + 'lod': significant[3][x], + 'color': "#ff0000", + 'width': significant[3][x]} + edge_dict = {'data': edge_data} self.edges_list.append(edge_dict) def run_analysis(self, requestform): @@ -114,7 +114,7 @@ class CTL: genotypes = list(itertools.chain(*markers)) logger.debug(len(genotypes) / len(individuals), "==", len(parser.markers)) - rGeno = r_t(ro.r.matrix(r_unlist(genotypes), nrow=len(markernames), ncol=len(individuals), dimnames = r_list(markernames, individuals), byrow=True)) + rGeno = r_t(ro.r.matrix(r_unlist(genotypes), nrow=len(markernames), ncol=len(individuals), dimnames=r_list(markernames, individuals), byrow=True)) # Create a phenotype matrix traits = [] @@ -122,7 +122,7 @@ class CTL: logger.debug("retrieving data for", trait) if trait != "": ts = trait.split(':') - gt = create_trait(name = ts[0], dataset_name = ts[1]) + gt = create_trait(name=ts[0], dataset_name=ts[1]) gt = retrieve_sample_data(gt, dataset, individuals) for ind in individuals: if ind in list(gt.data.keys()): @@ -130,23 +130,23 @@ class CTL: else: traits.append("-999") - rPheno = r_t(ro.r.matrix(r_as_numeric(r_unlist(traits)), nrow=len(self.trait_db_list), ncol=len(individuals), dimnames = r_list(self.trait_db_list, individuals), byrow=True)) + rPheno = r_t(ro.r.matrix(r_as_numeric(r_unlist(traits)), nrow=len(self.trait_db_list), ncol=len(individuals), dimnames=r_list(self.trait_db_list, individuals), byrow=True)) logger.debug(rPheno) # Use a data frame to store the objects - rPheno = r_data_frame(rPheno, check_names = False) - rGeno = r_data_frame(rGeno, check_names = False) + rPheno = r_data_frame(rPheno, check_names=False) + rGeno = r_data_frame(rGeno, check_names=False) # Debug: Print the genotype and phenotype files to disk #r_write_table(rGeno, "~/outputGN/geno.csv") #r_write_table(rPheno, "~/outputGN/pheno.csv") # Perform the CTL scan - res = self.r_CTLscan(rGeno, rPheno, strategy = strategy, nperm = nperm, parametric = parametric, nthreads=6) + res = self.r_CTLscan(rGeno, rPheno, strategy=strategy, nperm=nperm, parametric = parametric, nthreads=6) # Get significant interactions - significant = self.r_CTLsignificant(res, significance = significance) + significant = self.r_CTLsignificant(res, significance=significance) # Create an image for output self.results = {} @@ -158,7 +158,7 @@ class CTL: # Create the lineplot r_png(self.results['imgloc1'], width=1000, height=600, type='cairo-png') - self.r_lineplot(res, significance = significance) + self.r_lineplot(res, significance=significance) r_dev_off() n = 2 # We start from 2, since R starts from 1 :) @@ -167,7 +167,7 @@ class CTL: self.results['imgurl' + str(n)] = webqtlUtil.genRandStr("CTL_") + ".png" self.results['imgloc' + str(n)] = GENERATED_IMAGE_DIR + self.results['imgurl' + str(n)] r_png(self.results['imgloc' + str(n)], width=1000, height=600, type='cairo-png') - self.r_plotCTLobject(res, (n-1), significance = significance, main='Phenotype ' + trait) + self.r_plotCTLobject(res, (n - 1), significance=significance, main='Phenotype ' + trait) r_dev_off() n = n + 1 @@ -180,8 +180,8 @@ class CTL: logger.debug(significant[0][x], significant[1][x], significant[2][x]) # Debug to console tsS = significant[0][x].split(':') # Source tsT = significant[2][x].split(':') # Target - gtS = create_trait(name = tsS[0], dataset_name = tsS[1]) # Retrieve Source info from the DB - gtT = create_trait(name = tsT[0], dataset_name = tsT[1]) # Retrieve Target info from the DB + gtS = create_trait(name=tsS[0], dataset_name=tsS[1]) # Retrieve Source info from the DB + gtT = create_trait(name=tsT[0], dataset_name=tsT[1]) # Retrieve Target info from the DB self.addNode(gtS) self.addNode(gtT) self.addEdge(gtS, gtT, significant, x) diff --git a/wqflask/wqflask/database.py b/wqflask/wqflask/database.py index adeed6ad..b6e85494 100644 --- a/wqflask/wqflask/database.py +++ b/wqflask/wqflask/database.py @@ -6,7 +6,7 @@ from sqlalchemy.ext.declarative import declarative_base from utility.tools import SQL_URI import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) engine = create_engine(SQL_URI, encoding="latin1") diff --git a/wqflask/wqflask/do_search.py b/wqflask/wqflask/do_search.py index 364a3eed..115182e4 100644 --- a/wqflask/wqflask/do_search.py +++ b/wqflask/wqflask/do_search.py @@ -32,7 +32,7 @@ class DoSearch: self.search_type = search_type if self.dataset: - #Get group information for dataset and the species id + # Get group information for dataset and the species id self.species_id = webqtlDatabaseFunction.retrieve_species_id(self.dataset.group.name) def execute(self, query): @@ -137,7 +137,7 @@ class MrnaAssaySearch(DoSearch): return where_clause - def compile_final_query(self, from_clause = '', where_clause = ''): + def compile_final_query(self, from_clause='', where_clause=''): """Generates the final query string""" from_clause = self.normalize_spaces(from_clause) @@ -153,7 +153,7 @@ class MrnaAssaySearch(DoSearch): escape(str(self.dataset.id)))) return query - def run_combined(self, from_clause = '', where_clause = ''): + def run_combined(self, from_clause='', where_clause=''): """Generates and runs a combined search of an mRNA expression dataset""" logger.debug("Running ProbeSetSearch") @@ -218,10 +218,10 @@ class PhenotypeSearch(DoSearch): def get_where_clause(self): """Generate clause for WHERE portion of query""" - #Todo: Zach will figure out exactly what both these lines mean - #and comment here + # Todo: Zach will figure out exactly what both these lines mean + # and comment here - #if "'" not in self.search_term[0]: + # if "'" not in self.search_term[0]: search_term = "[[:<:]]" + self.handle_wildcard(self.search_term[0]) + "[[:>:]]" if "_" in self.search_term[0]: if len(self.search_term[0].split("_")[0]) == 3: @@ -236,7 +236,7 @@ class PhenotypeSearch(DoSearch): return where_clause - def compile_final_query(self, from_clause = '', where_clause = ''): + def compile_final_query(self, from_clause='', where_clause=''): """Generates the final query string""" from_clause = self.normalize_spaces(from_clause) @@ -292,7 +292,7 @@ class PhenotypeSearch(DoSearch): def run(self): """Generates and runs a simple search of a phenotype dataset""" - query = self.compile_final_query(where_clause = self.get_where_clause()) + query = self.compile_final_query(where_clause=self.get_where_clause()) return self.execute(query) @@ -334,7 +334,7 @@ class GenotypeSearch(DoSearch): return where_clause - def compile_final_query(self, from_clause = '', where_clause = ''): + def compile_final_query(self, from_clause='', where_clause=''): """Generates the final query string""" from_clause = self.normalize_spaces(from_clause) @@ -344,26 +344,26 @@ class GenotypeSearch(DoSearch): query = (self.base_query + """WHERE Geno.Id = GenoXRef.GenoId and GenoXRef.GenoFreezeId = GenoFreeze.Id - and GenoFreeze.Id = %s"""% (escape(str(self.dataset.id)))) + and GenoFreeze.Id = %s""" % (escape(str(self.dataset.id)))) else: query = (self.base_query + """WHERE %s and Geno.Id = GenoXRef.GenoId and GenoXRef.GenoFreezeId = GenoFreeze.Id - and GenoFreeze.Id = %s"""% (where_clause, + and GenoFreeze.Id = %s""" % (where_clause, escape(str(self.dataset.id)))) return query def run(self): """Generates and runs a simple search of a genotype dataset""" - #Todo: Zach will figure out exactly what both these lines mean - #and comment here + # Todo: Zach will figure out exactly what both these lines mean + # and comment here if self.search_term[0] == "*": self.query = self.compile_final_query() else: - self.query = self.compile_final_query(where_clause = self.get_where_clause()) + self.query = self.compile_final_query(where_clause=self.get_where_clause()) return self.execute(self.query) @@ -393,7 +393,7 @@ class RifSearch(MrnaAssaySearch): class WikiSearch(MrnaAssaySearch): """Searches GeneWiki for traits other people have annotated""" - DoSearch.search_types['ProbeSet_WIKI'] = "WikiSearch" + DoSearch.search_types['ProbeSet_WIKI'] = "WikiSearch" def get_from_clause(self): return ", GeneRIF " @@ -403,7 +403,7 @@ class WikiSearch(MrnaAssaySearch): and GeneRIF.versionId=0 and GeneRIF.display>0 and (GeneRIF.comment REGEXP '%s' or GeneRIF.initial = '%s') """ % (self.dataset.type, - "[[:<:]]"+str(self.search_term[0])+"[[:>:]]", + "[[:<:]]" + str(self.search_term[0]) + "[[:>:]]", str(self.search_term[0])) return where_clause @@ -418,7 +418,7 @@ class WikiSearch(MrnaAssaySearch): class GoSearch(MrnaAssaySearch): """Searches for synapse-associated genes listed in the Gene Ontology.""" - DoSearch.search_types['ProbeSet_GO'] = "GoSearch" + DoSearch.search_types['ProbeSet_GO'] = "GoSearch" def get_from_clause(self): from_clause = """, db_GeneOntology.term as GOterm, @@ -429,7 +429,7 @@ class GoSearch(MrnaAssaySearch): def get_where_clause(self): field = 'GOterm.acc' - go_id = 'GO:' + ('0000000'+self.search_term[0])[-7:] + go_id = 'GO:' + ('0000000' + self.search_term[0])[-7:] statements = ("""%s.symbol=GOgene_product.symbol and GOassociation.gene_product_id=GOgene_product.id and @@ -448,7 +448,7 @@ class GoSearch(MrnaAssaySearch): return self.execute(query) -#ZS: Not sure what the best way to deal with LRS searches is +# ZS: Not sure what the best way to deal with LRS searches is class LrsSearch(DoSearch): """Searches for genes with a QTL within the given LRS values @@ -486,8 +486,8 @@ class LrsSearch(DoSearch): assert isinstance(self.search_term, (list, tuple)) lrs_min, lrs_max = self.search_term[:2] if self.search_type == "LOD": - lrs_min = lrs_min*4.61 - lrs_max = lrs_max*4.61 + lrs_min = lrs_min * 4.61 + lrs_max = lrs_max * 4.61 where_clause = """ %sXRef.LRS > %s and %sXRef.LRS < %s """ % self.mescape(self.dataset.type, @@ -496,7 +496,7 @@ class LrsSearch(DoSearch): max(lrs_min, lrs_max)) if len(self.search_term) > 2: - #If the user typed, for example "Chr4", the "Chr" substring needs to be removed so that all search elements can be converted to floats + # If the user typed, for example "Chr4", the "Chr" substring needs to be removed so that all search elements can be converted to floats chr_num = self.search_term[2] if "chr" in self.search_term[2].lower(): chr_num = self.search_term[2].lower().replace("chr", "") @@ -518,7 +518,7 @@ class LrsSearch(DoSearch): logger.debug("self.search_term is:", self.search_term) lrs_val = self.search_term[0] if self.search_type == "LOD": - lrs_val = lrs_val*4.61 + lrs_val = lrs_val * 4.61 where_clause = """ %sXRef.LRS %s %s """ % self.mescape(self.dataset.type, self.search_operator, @@ -546,7 +546,7 @@ class MrnaLrsSearch(LrsSearch, MrnaAssaySearch): self.from_clause = self.get_from_clause() self.where_clause = self.get_where_clause() - self.query = self.compile_final_query(from_clause = self.from_clause, where_clause = self.where_clause) + self.query = self.compile_final_query(from_clause=self.from_clause, where_clause=self.where_clause) return self.execute(self.query) @@ -560,7 +560,7 @@ class PhenotypeLrsSearch(LrsSearch, PhenotypeSearch): self.from_clause = self.get_from_clause() self.where_clause = self.get_where_clause() - self.query = self.compile_final_query(from_clause = self.from_clause, where_clause = self.where_clause) + self.query = self.compile_final_query(from_clause=self.from_clause, where_clause=self.where_clause) return self.execute(self.query) @@ -599,7 +599,7 @@ class CisTransLrsSearch(DoSearch): lrs_max = lrs_max * 4.61 sub_clause = """ %sXRef.LRS > %s and - %sXRef.LRS < %s and """ % ( + %sXRef.LRS < %s and """ % ( escape(self.dataset.type), escape(str(min(lrs_min, lrs_max))), escape(self.dataset.type), @@ -607,7 +607,7 @@ class CisTransLrsSearch(DoSearch): ) else: # Deal with >, <, >=, and <= - sub_clause = """ %sXRef.LRS %s %s and """ % ( + sub_clause = """ %sXRef.LRS %s %s and """ % ( escape(self.dataset.type), escape(self.search_operator), escape(self.search_term[0]) @@ -667,7 +667,7 @@ class CisLrsSearch(CisTransLrsSearch, MrnaAssaySearch): """ for search_key in ('LRS', 'LOD'): - DoSearch.search_types['ProbeSet_CIS'+search_key] = "CisLrsSearch" + DoSearch.search_types['ProbeSet_CIS' + search_key] = "CisLrsSearch" def get_where_clause(self): return CisTransLrsSearch.get_where_clause(self, "cis") @@ -697,7 +697,7 @@ class TransLrsSearch(CisTransLrsSearch, MrnaAssaySearch): """ for search_key in ('LRS', 'LOD'): - DoSearch.search_types['ProbeSet_TRANS'+search_key] = "TransLrsSearch" + DoSearch.search_types['ProbeSet_TRANS' + search_key] = "TransLrsSearch" def get_where_clause(self): return CisTransLrsSearch.get_where_clause(self, "trans") @@ -740,7 +740,7 @@ class MeanSearch(MrnaAssaySearch): self.where_clause = self.get_where_clause() logger.debug("where_clause is:", pf(self.where_clause)) - self.query = self.compile_final_query(where_clause = self.where_clause) + self.query = self.compile_final_query(where_clause=self.where_clause) return self.execute(self.query) @@ -775,7 +775,7 @@ class RangeSearch(MrnaAssaySearch): def run(self): self.where_clause = self.get_where_clause() - self.query = self.compile_final_query(where_clause = self.where_clause) + self.query = self.compile_final_query(where_clause=self.where_clause) return self.execute(self.query) @@ -815,7 +815,7 @@ class PositionSearch(DoSearch): def run(self): self.get_where_clause() - self.query = self.compile_final_query(where_clause = self.where_clause) + self.query = self.compile_final_query(where_clause=self.where_clause) return self.execute(self.query) @@ -823,12 +823,12 @@ class MrnaPositionSearch(PositionSearch, MrnaAssaySearch): """Searches for genes located within a specified range on a specified chromosome""" for search_key in ('POSITION', 'POS', 'MB'): - DoSearch.search_types['ProbeSet_'+search_key] = "MrnaPositionSearch" + DoSearch.search_types['ProbeSet_' + search_key] = "MrnaPositionSearch" def run(self): self.where_clause = self.get_where_clause() - self.query = self.compile_final_query(where_clause = self.where_clause) + self.query = self.compile_final_query(where_clause=self.where_clause) return self.execute(self.query) @@ -836,12 +836,12 @@ class GenotypePositionSearch(PositionSearch, GenotypeSearch): """Searches for genes located within a specified range on a specified chromosome""" for search_key in ('POSITION', 'POS', 'MB'): - DoSearch.search_types['Geno_'+search_key] = "GenotypePositionSearch" + DoSearch.search_types['Geno_' + search_key] = "GenotypePositionSearch" def run(self): self.where_clause = self.get_where_clause() - self.query = self.compile_final_query(where_clause = self.where_clause) + self.query = self.compile_final_query(where_clause=self.where_clause) return self.execute(self.query) @@ -873,7 +873,7 @@ class PvalueSearch(MrnaAssaySearch): logger.debug("where_clause is:", pf(self.where_clause)) - self.query = self.compile_final_query(where_clause = self.where_clause) + self.query = self.compile_final_query(where_clause=self.where_clause) logger.sql(self.query) return self.execute(self.query) @@ -888,7 +888,7 @@ class AuthorSearch(PhenotypeSearch): self.where_clause = """ Publication.Authors REGEXP "[[:<:]]%s[[:>:]]" and """ % (self.search_term[0]) - self.query = self.compile_final_query(where_clause = self.where_clause) + self.query = self.compile_final_query(where_clause=self.where_clause) return self.execute(self.query) @@ -924,8 +924,8 @@ def get_aliases(symbol, species): return filtered_aliases if __name__ == "__main__": - ### Usually this will be used as a library, but call it from the command line for testing - ### And it runs the code below + # Usually this will be used as a library, but call it from the command line for testing + # And it runs the code below import MySQLdb import sys diff --git a/wqflask/wqflask/export_traits.py b/wqflask/wqflask/export_traits.py index 6fb760e0..95c20673 100644 --- a/wqflask/wqflask/export_traits.py +++ b/wqflask/wqflask/export_traits.py @@ -13,7 +13,7 @@ from base.trait import create_trait, retrieve_trait_info from pprint import pformat as pf from utility.logger import getLogger -logger = getLogger(__name__ ) +logger = getLogger(__name__) def export_search_results_csv(targs): diff --git a/wqflask/wqflask/external_tools/send_to_bnw.py b/wqflask/wqflask/external_tools/send_to_bnw.py index c5c79e98..9836eb9c 100644 --- a/wqflask/wqflask/external_tools/send_to_bnw.py +++ b/wqflask/wqflask/external_tools/send_to_bnw.py @@ -1,4 +1,4 @@ -## Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# Copyright (C) University of Tennessee Health Science Center, Memphis, TN. # # This program is free software: you can redistribute it and/or modify it # under the terms of the GNU Affero General Public License @@ -22,7 +22,7 @@ from base.trait import GeneralTrait from utility import helper_functions, corr_result_helpers import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) class SendToBNW: def __init__(self, start_vars): @@ -40,7 +40,7 @@ class SendToBNW: shared_samples = list(set(trait_samples_list[0]).intersection(*trait_samples_list)) - self.form_value = "" #ZS: string that is passed to BNW through form + self.form_value = "" # ZS: string that is passed to BNW through form values_list = [] for trait_db in self.trait_list: this_trait = trait_db[0] diff --git a/wqflask/wqflask/external_tools/send_to_geneweaver.py b/wqflask/wqflask/external_tools/send_to_geneweaver.py index 47e4c53a..36f1b8e5 100644 --- a/wqflask/wqflask/external_tools/send_to_geneweaver.py +++ b/wqflask/wqflask/external_tools/send_to_geneweaver.py @@ -1,4 +1,4 @@ -## Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# Copyright (C) University of Tennessee Health Science Center, Memphis, TN. # # This program is free software: you can redistribute it and/or modify it # under the terms of the GNU Affero General Public License @@ -27,7 +27,7 @@ from base.species import TheSpecies from utility import helper_functions, corr_result_helpers import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) class SendToGeneWeaver: def __init__(self, start_vars): @@ -74,7 +74,7 @@ def test_chip(trait_list): FROM GeneChip, ProbeFreeze, ProbeSetFreeze WHERE GeneChip.Id = ProbeFreeze.ChipId and ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and - ProbeSetFreeze.Name = '%s'""" % dataset.name).fetchone() + ProbeSetFreeze.Name = '%s'""" % dataset.name).fetchone() if result: chip_name = result[0] diff --git a/wqflask/wqflask/external_tools/send_to_webgestalt.py b/wqflask/wqflask/external_tools/send_to_webgestalt.py index e1e5e655..f50eeb8b 100644 --- a/wqflask/wqflask/external_tools/send_to_webgestalt.py +++ b/wqflask/wqflask/external_tools/send_to_webgestalt.py @@ -1,4 +1,4 @@ -## Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# Copyright (C) University of Tennessee Health Science Center, Memphis, TN. # # This program is free software: you can redistribute it and/or modify it # under the terms of the GNU Affero General Public License @@ -27,7 +27,7 @@ from base.species import TheSpecies from utility import helper_functions, corr_result_helpers import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) class SendToWebGestalt: def __init__(self, start_vars): @@ -47,16 +47,16 @@ class SendToWebGestalt: id_type = "entrezgene" self.hidden_vars = { - 'gene_list' : "\n".join(gene_id_list), - 'id_type' : "entrezgene", - 'ref_set' : "genome", - 'enriched_database_category' : "geneontology", - 'enriched_database_name' : "Biological_Process", - 'sig_method' : "fdr", - 'sig_value' : "0.05", - 'enrich_method' : "ORA", - 'fdr_method' : "BH", - 'min_num' : "2" + 'gene_list': "\n".join(gene_id_list), + 'id_type': "entrezgene", + 'ref_set': "genome", + 'enriched_database_category': "geneontology", + 'enriched_database_name': "Biological_Process", + 'sig_method': "fdr", + 'sig_value': "0.05", + 'enrich_method': "ORA", + 'fdr_method': "BH", + 'min_num': "2" } species = self.trait_list[0][1].group.species @@ -78,7 +78,7 @@ def test_chip(trait_list): FROM GeneChip, ProbeFreeze, ProbeSetFreeze WHERE GeneChip.Id = ProbeFreeze.ChipId and ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and - ProbeSetFreeze.Name = '%s'""" % dataset.name).fetchone() + ProbeSetFreeze.Name = '%s'""" % dataset.name).fetchone() if result: chip_name = result[0] diff --git a/wqflask/wqflask/group_manager.py b/wqflask/wqflask/group_manager.py index 69ee9623..f29c0e4d 100644 --- a/wqflask/wqflask/group_manager.py +++ b/wqflask/wqflask/group_manager.py @@ -40,8 +40,8 @@ def view_group(): user_info = get_user_by_unique_column("user_id", user_id) members_info.append(user_info) - #ZS: This whole part might not scale well with many resources - resources_info = [] + # ZS: This whole part might not scale well with many resources + resources_info = [] all_resources = get_resources() for resource_id in all_resources: resource_info = get_resource_info(resource_id) @@ -82,10 +82,10 @@ def add_users(user_type='members'): group_id = request.form['group_id'] if user_type == "admins": user_emails = request.form['admin_emails_to_add'].split(",") - add_users_to_group(g.user_session.user_id, group_id, user_emails, admins = True) + add_users_to_group(g.user_session.user_id, group_id, user_emails, admins=True) elif user_type == "members": user_emails = request.form['member_emails_to_add'].split(",") - add_users_to_group(g.user_session.user_id, group_id, user_emails, admins = False) + add_users_to_group(g.user_session.user_id, group_id, user_emails, admins=False) return redirect(url_for('view_group', id=group_id)) @@ -103,7 +103,7 @@ def add_or_edit_group(): if "group_name" in params: member_user_ids = set() admin_user_ids = set() - admin_user_ids.add(g.user_session.user_id) #ZS: Always add the user creating the group as an admin + admin_user_ids.add(g.user_session.user_id) # ZS: Always add the user creating the group as an admin if "admin_emails_to_add" in params: admin_emails = params['admin_emails_to_add'].split(",") for email in admin_emails: @@ -124,22 +124,22 @@ def add_or_edit_group(): else: return render_template("admin/create_group.html") -#ZS: Will integrate this later, for now just letting users be added directly -def send_group_invites(group_id, user_email_list = [], user_type="members"): +# ZS: Will integrate this later, for now just letting users be added directly +def send_group_invites(group_id, user_email_list=[], user_type="members"): for user_email in user_email_list: user_details = get_user_by_unique_column("email_address", user_email) if user_details: group_info = get_group_info(group_id) - #ZS: Probably not necessary since the group should normally always exist if group_id is being passed here, + # ZS: Probably not necessary since the group should normally always exist if group_id is being passed here, # but it's technically possible to hit it if Redis is cleared out before submitting the new users or something if group_info: - #ZS: Don't add user if they're already an admin or if they're being added a regular user and are already a regular user, + # ZS: Don't add user if they're already an admin or if they're being added a regular user and are already a regular user, # but do add them if they're a regular user and are added as an admin if (user_details['user_id'] in group_info['admins']) or \ ((user_type == "members") and (user_details['user_id'] in group_info['members'])): continue else: - send_verification_email(user_details, template_name = "email/group_verification.txt", key_prefix = "verification_code", subject = "You've been invited to join a GeneNetwork user group") + send_verification_email(user_details, template_name="email/group_verification.txt", key_prefix="verification_code", subject = "You've been invited to join a GeneNetwork user group") else: temp_password = ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) user_details = { @@ -152,4 +152,4 @@ def send_group_invites(group_id, user_email_list = [], user_type="members"): save_user(user_details, user_details['user_id']) send_invitation_email(user_email, temp_password) -#@app.route() +# @app.route() diff --git a/wqflask/wqflask/gsearch.py b/wqflask/wqflask/gsearch.py index 9bf23d57..8cb81dcc 100644 --- a/wqflask/wqflask/gsearch.py +++ b/wqflask/wqflask/gsearch.py @@ -102,7 +102,7 @@ class GSearch: this_trait['locus_chr'] = line[16] this_trait['locus_mb'] = line[17] - dataset_ob = SimpleNamespace(id=this_trait["dataset_id"], type="ProbeSet",species=this_trait["species"]) + dataset_ob = SimpleNamespace(id=this_trait["dataset_id"], type="ProbeSet", species=this_trait["species"]) if dataset_ob.id not in dataset_to_permissions: permissions = check_resource_availability(dataset_ob) dataset_to_permissions[dataset_ob.id] = permissions diff --git a/wqflask/wqflask/heatmap/heatmap.py b/wqflask/wqflask/heatmap/heatmap.py index 20e3559a..f8ef7028 100644 --- a/wqflask/wqflask/heatmap/heatmap.py +++ b/wqflask/wqflask/heatmap/heatmap.py @@ -12,7 +12,7 @@ from utility.logger import getLogger Redis = Redis() -logger = getLogger(__name__ ) +logger = getLogger(__name__) class Heatmap: @@ -24,7 +24,7 @@ class Heatmap: self.num_permutations = 5000 self.dataset = self.trait_list[0][1] - self.json_data = {} #The dictionary that will be used to create the json object that contains all the data needed to create the figure + self.json_data = {} # The dictionary that will be used to create the json object that contains all the data needed to create the figure self.all_sample_list = [] self.traits = [] @@ -83,7 +83,7 @@ class Heatmap: self.json_data[trait] = self.trait_results[trait] self.js_data = dict( - json_data = self.json_data + json_data=self.json_data ) def gen_reaper_results(self): diff --git a/wqflask/wqflask/interval_analyst/GeneUtil.py b/wqflask/wqflask/interval_analyst/GeneUtil.py index d0dd7aea..9779878e 100644 --- a/wqflask/wqflask/interval_analyst/GeneUtil.py +++ b/wqflask/wqflask/interval_analyst/GeneUtil.py @@ -2,14 +2,14 @@ import string from flask import Flask, g -#Just return a list of dictionaries -#each dictionary contains sub-dictionary +# Just return a list of dictionaries +# each dictionary contains sub-dictionary def loadGenes(chrName, diffCol, startMb, endMb, species='mouse'): fetchFields = ['SpeciesId', 'Id', 'GeneSymbol', 'GeneDescription', 'Chromosome', 'TxStart', 'TxEnd', 'Strand', 'GeneID', 'NM_ID', 'kgID', 'GenBankID', 'UnigenID', 'ProteinID', 'AlignID', 'exonCount', 'exonStarts', 'exonEnds', 'cdsStart', 'cdsEnd'] - ##List All Species in the Gene Table + # List All Species in the Gene Table speciesDict = {} results = g.db.execute(""" SELECT Species.Name, GeneList.SpeciesId @@ -20,7 +20,7 @@ def loadGenes(chrName, diffCol, startMb, endMb, species='mouse'): for item in results: speciesDict[item[0]] = item[1] - ##List current Species and other Species + # List current Species and other Species speciesId = speciesDict[species] otherSpecies = [[X, speciesDict[X]] for X in list(speciesDict.keys())] otherSpecies.remove([species, speciesId]) @@ -43,8 +43,8 @@ def loadGenes(chrName, diffCol, startMb, endMb, species='mouse'): newdict = {} for j, item in enumerate(fetchFields): newdict[item] = result[j] - #count SNPs if possible - if diffCol and species=='mouse': + # count SNPs if possible + if diffCol and species == 'mouse': newdict["snpCount"] = g.db.execute(""" SELECT count(*) FROM BXDSnpPosition @@ -52,16 +52,16 @@ def loadGenes(chrName, diffCol, startMb, endMb, species='mouse'): Mb >= %2.6f AND Mb < %2.6f AND StrainId1 = %d AND StrainId2 = %d """ % (chrName, newdict["TxStart"], newdict["TxEnd"], diffCol[0], diffCol[1])).fetchone()[0] - newdict["snpDensity"] = newdict["snpCount"]/(newdict["TxEnd"]-newdict["TxStart"])/1000.0 + newdict["snpDensity"] = newdict["snpCount"] / (newdict["TxEnd"] - newdict["TxStart"]) / 1000.0 else: newdict["snpDensity"] = newdict["snpCount"] = 0 try: - newdict['GeneLength'] = 1000.0*(newdict['TxEnd'] - newdict['TxStart']) + newdict['GeneLength'] = 1000.0 * (newdict['TxEnd'] - newdict['TxStart']) except: pass - #load gene from other Species by the same name + # load gene from other Species by the same name for item in otherSpecies: othSpec, othSpecId = item newdict2 = {} @@ -74,7 +74,7 @@ def loadGenes(chrName, diffCol, startMb, endMb, species='mouse'): for j, item in enumerate(fetchFields): newdict2[item] = resultsOther[j] - #count SNPs if possible, could be a separate function + # count SNPs if possible, could be a separate function if diffCol and othSpec == 'mouse': newdict2["snpCount"] = g.db.execute(""" SELECT count(*) @@ -84,12 +84,12 @@ def loadGenes(chrName, diffCol, startMb, endMb, species='mouse'): StrainId1 = %d AND StrainId2 = %d """ % (chrName, newdict["TxStart"], newdict["TxEnd"], diffCol[0], diffCol[1])).fetchone()[0] - newdict2["snpDensity"] = newdict2["snpCount"]/(newdict2["TxEnd"]-newdict2["TxStart"])/1000.0 + newdict2["snpDensity"] = newdict2["snpCount"] / (newdict2["TxEnd"] - newdict2["TxStart"]) / 1000.0 else: newdict2["snpDensity"] = newdict2["snpCount"] = 0 try: - newdict2['GeneLength'] = 1000.0*(newdict2['TxEnd'] - newdict2['TxStart']) + newdict2['GeneLength'] = 1000.0 * (newdict2['TxEnd'] - newdict2['TxStart']) except: pass diff --git a/wqflask/wqflask/marker_regression/display_mapping_results.py b/wqflask/wqflask/marker_regression/display_mapping_results.py index 4074f098..3753d1ce 100644 --- a/wqflask/wqflask/marker_regression/display_mapping_results.py +++ b/wqflask/wqflask/marker_regression/display_mapping_results.py @@ -51,7 +51,7 @@ try: # Only import this for Python3 from functools import reduce except: pass -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) RED = ImageColor.getrgb("red") BLUE = ImageColor.getrgb("blue") @@ -390,24 +390,24 @@ class DisplayMappingResults: else: self.genotype = self.dataset.group.read_genotype_file() - #Darwing Options + # Darwing Options try: if self.selectedChr > -1: - self.graphWidth = min(self.GRAPH_MAX_WIDTH, max(self.GRAPH_MIN_WIDTH, int(start_vars['graphWidth']))) + self.graphWidth = min(self.GRAPH_MAX_WIDTH, max(self.GRAPH_MIN_WIDTH, int(start_vars['graphWidth']))) else: - self.graphWidth = min(self.GRAPH_MAX_WIDTH, max(self.MULT_GRAPH_MIN_WIDTH, int(start_vars['graphWidth']))) + self.graphWidth = min(self.GRAPH_MAX_WIDTH, max(self.MULT_GRAPH_MIN_WIDTH, int(start_vars['graphWidth']))) except: if self.selectedChr > -1: - self.graphWidth = self.GRAPH_DEFAULT_WIDTH + self.graphWidth = self.GRAPH_DEFAULT_WIDTH else: - self.graphWidth = self.MULT_GRAPH_DEFAULT_WIDTH + self.graphWidth = self.MULT_GRAPH_DEFAULT_WIDTH -## BEGIN HaplotypeAnalyst +# BEGIN HaplotypeAnalyst if 'haplotypeAnalystCheck' in list(start_vars.keys()): self.haplotypeAnalystChecked = start_vars['haplotypeAnalystCheck'] else: self.haplotypeAnalystChecked = False -## END HaplotypeAnalyst +# END HaplotypeAnalyst self.graphHeight = self.GRAPH_DEFAULT_HEIGHT self.dominanceChecked = False @@ -446,7 +446,7 @@ class DisplayMappingResults: except: self.lrsMax = 0 - #Trait Infos + # Trait Infos self.identification = "" ################################################################ @@ -471,10 +471,10 @@ class DisplayMappingResults: Chr_Length.OrderId """ % (self.dataset.group.name, ", ".join(["'%s'" % X[0] for X in self.ChrList[1:]]))) - self.ChrLengthMbList = [x[0]/1000000.0 for x in self.ChrLengthMbList] - self.ChrLengthMbSum = reduce(lambda x, y:x+y, self.ChrLengthMbList, 0.0) + self.ChrLengthMbList = [x[0] / 1000000.0 for x in self.ChrLengthMbList] + self.ChrLengthMbSum = reduce(lambda x, y: x + y, self.ChrLengthMbList, 0.0) if self.ChrLengthMbList: - self.MbGraphInterval = self.ChrLengthMbSum/(len(self.ChrLengthMbList)*12) #Empirical Mb interval + self.MbGraphInterval = self.ChrLengthMbSum / (len(self.ChrLengthMbList) * 12) # Empirical Mb interval else: self.MbGraphInterval = 1 @@ -482,18 +482,18 @@ class DisplayMappingResults: for i, _chr in enumerate(self.genotype): self.ChrLengthCMList.append(_chr[-1].cM - _chr[0].cM) - self.ChrLengthCMSum = reduce(lambda x, y:x+y, self.ChrLengthCMList, 0.0) + self.ChrLengthCMSum = reduce(lambda x, y: x + y, self.ChrLengthCMList, 0.0) if self.plotScale == 'physic': - self.GraphInterval = self.MbGraphInterval #Mb + self.GraphInterval = self.MbGraphInterval # Mb else: - self.GraphInterval = self.cMGraphInterval #cM + self.GraphInterval = self.cMGraphInterval # cM -## BEGIN HaplotypeAnalyst -## count the amount of individuals to be plotted, and increase self.graphHeight +# BEGIN HaplotypeAnalyst +# count the amount of individuals to be plotted, and increase self.graphHeight if self.haplotypeAnalystChecked and self.selectedChr > -1: thisTrait = self.this_trait - smd=[] + smd = [] for sample in self.sample_vals_dict.keys(): if self.sample_vals_dict[sample] != "x": temp = GeneralObject(name=sample, value=float(self.sample_vals_dict[sample])) @@ -501,19 +501,19 @@ class DisplayMappingResults: else: continue samplelist = list(self.genotype.prgy) - for j, _geno in enumerate (self.genotype[0][1].genotype): + for j, _geno in enumerate(self.genotype[0][1].genotype): for item in smd: if item.name == samplelist[j]: self.NR_INDIVIDUALS = self.NR_INDIVIDUALS + 1 # default: - self.graphHeight = self.graphHeight + 2 * (self.NR_INDIVIDUALS+10) * self.EACH_GENE_HEIGHT -## END HaplotypeAnalyst + self.graphHeight = self.graphHeight + 2 * (self.NR_INDIVIDUALS + 10) * self.EACH_GENE_HEIGHT +# END HaplotypeAnalyst ######################### - ## Get the sorting column + # Get the sorting column ######################### RISet = self.dataset.group.name if RISet in ('AXB', 'BXA', 'AXBXA'): @@ -529,7 +529,7 @@ class DisplayMappingResults: elif RISet in ('LXS'): self.diffCol = ['ILS', 'ISS'] else: - self.diffCol= [] + self.diffCol = [] for i, strain in enumerate(self.diffCol): self.diffCol[i] = g.db.execute("select Id from Strain where Symbol = %s", strain).fetchone()[0] @@ -546,7 +546,7 @@ class DisplayMappingResults: geneTable = "" self.geneCol = None - if self.plotScale == 'physic' and self.selectedChr > -1 and (self.intervalAnalystChecked or self.geneChecked): + if self.plotScale == 'physic' and self.selectedChr > -1 and (self.intervalAnalystChecked or self.geneChecked): # Draw the genes for this chromosome / region of this chromosome webqtldatabase = self.dataset.name @@ -580,11 +580,11 @@ class DisplayMappingResults: showLocusForm = "" intCanvas = Image.new("RGBA", size=(self.graphWidth, self.graphHeight)) with Bench("Drawing Plot"): - gifmap = self.plotIntMapping(intCanvas, startMb = self.startMb, endMb = self.endMb, showLocusForm= showLocusForm) + gifmap = self.plotIntMapping(intCanvas, startMb=self.startMb, endMb=self.endMb, showLocusForm= showLocusForm) self.gifmap = gifmap.__str__() - self.filename= webqtlUtil.genRandStr("Itvl_") + self.filename = webqtlUtil.genRandStr("Itvl_") intCanvas.save( "{}.png".format( os.path.join(webqtlConfig.GENERATED_IMAGE_DIR, self.filename)), @@ -594,20 +594,20 @@ class DisplayMappingResults: border="0", usemap='#WebQTLImageMap' ) - #Scales plot differently for high resolution + # Scales plot differently for high resolution if self.draw2X: - intCanvasX2 = Image.new("RGBA", size=(self.graphWidth*2, self.graphHeight*2)) - gifmapX2 = self.plotIntMapping(intCanvasX2, startMb = self.startMb, endMb = self.endMb, showLocusForm= showLocusForm, zoom=2) + intCanvasX2 = Image.new("RGBA", size=(self.graphWidth * 2, self.graphHeight * 2)) + gifmapX2 = self.plotIntMapping(intCanvasX2, startMb=self.startMb, endMb=self.endMb, showLocusForm= showLocusForm, zoom=2) intCanvasX2.save( "{}.png".format( os.path.join(webqtlConfig.GENERATED_IMAGE_DIR, - self.filename+"X2")), + self.filename + "X2")), format='png') ################################################################ # Outputs goes here ################################################################ - #this form is used for opening Locus page or trait page, only available for genetic mapping + # this form is used for opening Locus page or trait page, only available for genetic mapping if showLocusForm: showLocusForm = HtmlGenWrapper.create_form_tag( cgi=os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE), @@ -615,7 +615,7 @@ class DisplayMappingResults: name=showLocusForm, submit=HtmlGenWrapper.create_input_tag(type_='hidden')) - hddn = {'FormID':'showDatabase', 'ProbeSetID':'_','database':fd.RISet+"Geno",'CellID':'_', 'RISet':fd.RISet, 'incparentsf1':'ON'} + hddn = {'FormID': 'showDatabase', 'ProbeSetID': '_', 'database': fd.RISet+"Geno",'CellID':'_', 'RISet':fd.RISet, 'incparentsf1':'ON'} for key in hddn.keys(): showLocusForm.append(HtmlGenWrapper.create_input_tag( name=key, value=hddn[key], type_='hidden')) @@ -636,9 +636,9 @@ class DisplayMappingResults: btminfo.append(HtmlGenWrapper.create_br_tag()) btminfo.append('Mapping using genotype data as a trait will result in infinity LRS at one locus. In order to display the result properly, all LRSs higher than 100 are capped at 100.') - def plotIntMapping(self, canvas, offset= (80, 120, 90, 100), zoom = 1, startMb = None, endMb = None, showLocusForm = ""): + def plotIntMapping(self, canvas, offset=(80, 120, 90, 100), zoom=1, startMb= None, endMb = None, showLocusForm = ""): im_drawer = ImageDraw.Draw(canvas) - #calculating margins + # calculating margins xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset if self.multipleInterval: yTopOffset = max(90, yTopOffset) @@ -659,34 +659,34 @@ class DisplayMappingResults: xLeftOffset += 20 fontZoom = 1.5 - xLeftOffset = int(xLeftOffset*fontZoom) - xRightOffset = int(xRightOffset*fontZoom) - yBottomOffset = int(yBottomOffset*fontZoom) + xLeftOffset = int(xLeftOffset * fontZoom) + xRightOffset = int(xRightOffset * fontZoom) + yBottomOffset = int(yBottomOffset * fontZoom) cWidth = canvas.size[0] cHeight = canvas.size[1] plotWidth = cWidth - xLeftOffset - xRightOffset plotHeight = cHeight - yTopOffset - yBottomOffset - #Drawing Area Height + # Drawing Area Height drawAreaHeight = plotHeight if self.plotScale == 'physic' and self.selectedChr > -1: if self.dataset.group.species == "mouse" or self.dataset.group.species == "rat": - drawAreaHeight -= 4*self.BAND_HEIGHT + 4*self.BAND_SPACING+ 10*zoom + drawAreaHeight -= 4 * self.BAND_HEIGHT + 4 * self.BAND_SPACING + 10 * zoom else: - drawAreaHeight -= 3*self.BAND_HEIGHT + 3*self.BAND_SPACING+ 10*zoom + drawAreaHeight -= 3 * self.BAND_HEIGHT + 3 * self.BAND_SPACING + 10 * zoom if self.geneChecked: - drawAreaHeight -= self.NUM_GENE_ROWS*self.EACH_GENE_HEIGHT + 3*self.BAND_SPACING + 10*zoom + drawAreaHeight -= self.NUM_GENE_ROWS * self.EACH_GENE_HEIGHT + 3 * self.BAND_SPACING + 10 * zoom else: if self.selectedChr > -1: drawAreaHeight -= 20 else: drawAreaHeight -= 30 -## BEGIN HaplotypeAnalyst +# BEGIN HaplotypeAnalyst if self.haplotypeAnalystChecked and self.selectedChr > -1: - drawAreaHeight -= self.EACH_GENE_HEIGHT * (self.NR_INDIVIDUALS+10) * 2 * zoom -## END HaplotypeAnalyst + drawAreaHeight -= self.EACH_GENE_HEIGHT * (self.NR_INDIVIDUALS + 10) * 2 * zoom +# END HaplotypeAnalyst if zoom == 2: drawAreaHeight -= 60 @@ -696,42 +696,42 @@ class DisplayMappingResults: newoffset = (xLeftOffset, xRightOffset, yTopOffset, yBottomOffset) # Draw the alternating-color background first and get plotXScale - plotXScale = self.drawGraphBackground(canvas, gifmap, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb) + plotXScale = self.drawGraphBackground(canvas, gifmap, offset=newoffset, zoom=zoom, startMb=startMb, endMb=endMb) - #draw bootstap + # draw bootstap if self.bootChecked and not self.multipleInterval: - self.drawBootStrapResult(canvas, self.nboot, drawAreaHeight, plotXScale, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb) + self.drawBootStrapResult(canvas, self.nboot, drawAreaHeight, plotXScale, offset=newoffset, zoom=zoom, startMb=startMb, endMb=endMb) # Draw clickable region and gene band if selected if self.plotScale == 'physic' and self.selectedChr > -1: - self.drawClickBand(canvas, gifmap, plotXScale, offset=newoffset, zoom = zoom, startMb=startMb, endMb = endMb) + self.drawClickBand(canvas, gifmap, plotXScale, offset=newoffset, zoom=zoom, startMb=startMb, endMb=endMb) if self.geneChecked and self.geneCol: - self.drawGeneBand(canvas, gifmap, plotXScale, offset=newoffset, zoom = zoom, startMb=startMb, endMb = endMb) + self.drawGeneBand(canvas, gifmap, plotXScale, offset=newoffset, zoom=zoom, startMb=startMb, endMb=endMb) if self.SNPChecked: - self.drawSNPTrackNew(canvas, offset=newoffset, zoom = 2*zoom, startMb=startMb, endMb = endMb) -## BEGIN HaplotypeAnalyst + self.drawSNPTrackNew(canvas, offset=newoffset, zoom=2 * zoom, startMb=startMb, endMb = endMb) +# BEGIN HaplotypeAnalyst if self.haplotypeAnalystChecked: - self.drawHaplotypeBand(canvas, gifmap, plotXScale, offset=newoffset, zoom = zoom, startMb=startMb, endMb = endMb) -## END HaplotypeAnalyst + self.drawHaplotypeBand(canvas, gifmap, plotXScale, offset=newoffset, zoom=zoom, startMb=startMb, endMb=endMb) +# END HaplotypeAnalyst # Draw X axis - self.drawXAxis(canvas, drawAreaHeight, gifmap, plotXScale, showLocusForm, offset=newoffset, zoom = zoom, startMb=startMb, endMb = endMb) + self.drawXAxis(canvas, drawAreaHeight, gifmap, plotXScale, showLocusForm, offset=newoffset, zoom=zoom, startMb=startMb, endMb=endMb) # Draw QTL curve - self.drawQTL(canvas, drawAreaHeight, gifmap, plotXScale, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb) + self.drawQTL(canvas, drawAreaHeight, gifmap, plotXScale, offset=newoffset, zoom=zoom, startMb=startMb, endMb=endMb) - #draw legend + # draw legend if self.multipleInterval: self.drawMultiTraitName(fd, canvas, gifmap, showLocusForm, offset=newoffset) elif self.legendChecked: - self.drawLegendPanel(canvas, offset=newoffset, zoom = zoom) + self.drawLegendPanel(canvas, offset=newoffset, zoom=zoom) else: pass - #draw position, no need to use a separate function - self.drawProbeSetPosition(canvas, plotXScale, offset=newoffset, zoom = zoom) + # draw position, no need to use a separate function + self.drawProbeSetPosition(canvas, plotXScale, offset=newoffset, zoom=zoom) return gifmap - def drawBootStrapResult(self, canvas, nboot, drawAreaHeight, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + def drawBootStrapResult(self, canvas, nboot, drawAreaHeight, plotXScale, offset=(40, 120, 80, 10), zoom=1, startMb= None, endMb = None): im_drawer = ImageDraw.Draw(canvas) xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset plotWidth = canvas.size[0] - xLeftOffset - xRightOffset @@ -741,9 +741,9 @@ class DisplayMappingResults: if zoom == 2: fontZoom = 1.5 - bootHeightThresh = drawAreaHeight*3/4 + bootHeightThresh = drawAreaHeight * 3 / 4 - #break bootstrap result into groups + # break bootstrap result into groups BootCoord = [] i = 0 previous_chr = None @@ -751,7 +751,7 @@ class DisplayMappingResults: startX = xLeftOffset BootChrCoord = [] - if self.selectedChr == -1: #ZS: If viewing full genome/all chromosomes + if self.selectedChr == -1: # ZS: If viewing full genome/all chromosomes for i, result in enumerate(self.qtlresults): if result['chr'] != previous_chr: previous_chr = result['chr'] @@ -759,28 +759,28 @@ class DisplayMappingResults: if previous_chr_as_int != 1: BootCoord.append(BootChrCoord) BootChrCoord = [] - startX += (self.ChrLengthDistList[previous_chr_as_int - 2] + self.GraphInterval)*plotXScale + startX += (self.ChrLengthDistList[previous_chr_as_int - 2] + self.GraphInterval) * plotXScale if self.plotScale == 'physic': - Xc = startX + (result['Mb']-self.startMb)*plotXScale + Xc = startX + (result['Mb'] - self.startMb) * plotXScale else: - Xc = startX + (result['cM']-self.qtlresults[0]['cM'])*plotXScale + Xc = startX + (result['cM'] - self.qtlresults[0]['cM']) * plotXScale BootChrCoord.append([Xc, self.bootResult[i]]) else: for i, result in enumerate(self.qtlresults): if str(result['chr']) == str(self.ChrList[self.selectedChr][0]): if self.plotScale == 'physic': - Xc = startX + (result['Mb']-self.startMb)*plotXScale + Xc = startX + (result['Mb'] - self.startMb) * plotXScale else: - Xc = startX + (result['cM']-self.qtlresults[0]['cM'])*plotXScale + Xc = startX + (result['cM'] - self.qtlresults[0]['cM']) * plotXScale BootChrCoord.append([Xc, self.bootResult[i]]) BootCoord = [BootChrCoord] - #reduce bootResult + # reduce bootResult if self.selectedChr > -1: maxBootBar = 80.0 else: maxBootBar = 200.0 - stepBootStrap = plotWidth/maxBootBar + stepBootStrap = plotWidth / maxBootBar reducedBootCoord = [] maxBootCount = 0 @@ -801,8 +801,8 @@ class DisplayMappingResults: bootCount = BootChrCoord[i][1] # end else # end for - #add last piece - if BootChrCoord[-1][0] - bootStartPixX > stepBootStrap/2.0: + # add last piece + if BootChrCoord[-1][0] - bootStartPixX > stepBootStrap / 2.0: reducedBootCoord.append([bootStartPixX, BootChrCoord[-1][0], bootCount]) else: reducedBootCoord[-1][2] += bootCount @@ -815,64 +815,64 @@ class DisplayMappingResults: if item[2] > 0: if item[0] < xLeftOffset: item[0] = xLeftOffset - if item[0] > xLeftOffset+plotWidth: - item[0] = xLeftOffset+plotWidth + if item[0] > xLeftOffset + plotWidth: + item[0] = xLeftOffset + plotWidth if item[1] < xLeftOffset: item[1] = xLeftOffset - if item[1] > xLeftOffset+plotWidth: - item[1] = xLeftOffset+plotWidth + if item[1] > xLeftOffset + plotWidth: + item[1] = xLeftOffset + plotWidth if item[0] != item[1]: im_drawer.rectangle( xy=((item[0], yZero), - (item[1], yZero - item[2]*bootHeightThresh/maxBootCount)), + (item[1], yZero - item[2] * bootHeightThresh / maxBootCount)), fill=self.BOOTSTRAP_BOX_COLOR, outline=BLACK) - ###draw boot scale - highestPercent = (maxBootCount*100.0)/nboot + # draw boot scale + highestPercent = (maxBootCount * 100.0) / nboot bootScale = Plot.detScale(0, highestPercent) - bootScale = Plot.frange(bootScale[0], bootScale[1], bootScale[1]/bootScale[2]) + bootScale = Plot.frange(bootScale[0], bootScale[1], bootScale[1] / bootScale[2]) bootScale = bootScale[:-1] + [highestPercent] - bootOffset = 50*fontZoom - bootScaleFont=ImageFont.truetype(font=VERDANA_FILE, size=13*fontZoom) + bootOffset = 50 * fontZoom + bootScaleFont = ImageFont.truetype(font=VERDANA_FILE, size=13 * fontZoom) im_drawer.rectangle( - xy=((canvas.size[0]-bootOffset, yZero-bootHeightThresh), - (canvas.size[0]-bootOffset-15*zoom, yZero)), - fill = YELLOW, outline=BLACK) + xy=((canvas.size[0] - bootOffset, yZero - bootHeightThresh), + (canvas.size[0] - bootOffset - 15*zoom, yZero)), + fill=YELLOW, outline=BLACK) im_drawer.line( - xy=((canvas.size[0]-bootOffset+4, yZero), - (canvas.size[0]-bootOffset, yZero)), + xy=((canvas.size[0] - bootOffset + 4, yZero), + (canvas.size[0] - bootOffset, yZero)), fill=BLACK) TEXT_Y_DISPLACEMENT = -8 - im_drawer.text(xy=(canvas.size[0]-bootOffset+10, yZero+TEXT_Y_DISPLACEMENT), text='0%', + im_drawer.text(xy=(canvas.size[0] - bootOffset + 10, yZero+TEXT_Y_DISPLACEMENT), text='0%', font=bootScaleFont, fill=BLACK) for item in bootScale: if item == 0: continue - bootY = yZero-bootHeightThresh*item/highestPercent + bootY = yZero - bootHeightThresh * item / highestPercent im_drawer.line( - xy=((canvas.size[0]-bootOffset+4, bootY), - (canvas.size[0]-bootOffset, bootY)), + xy=((canvas.size[0] - bootOffset + 4, bootY), + (canvas.size[0] - bootOffset, bootY)), fill=BLACK) - im_drawer.text(xy=(canvas.size[0]-bootOffset+10, bootY+TEXT_Y_DISPLACEMENT), - text='%2.1f'%item, font=bootScaleFont, fill=BLACK) + im_drawer.text(xy=(canvas.size[0] - bootOffset + 10, bootY+TEXT_Y_DISPLACEMENT), + text='%2.1f' % item, font=bootScaleFont, fill=BLACK) if self.legendChecked: if hasattr(self.traitList[0], 'chr') and hasattr(self.traitList[0], 'mb'): startPosY = 30 else: startPosY = 15 - smallLabelFont = ImageFont.truetype(font=TREBUC_FILE, size=12*fontZoom) + smallLabelFont = ImageFont.truetype(font=TREBUC_FILE, size=12 * fontZoom) leftOffset = canvas.size[0] - xRightOffset - 190 im_drawer.rectangle( - xy=((leftOffset, startPosY-6), (leftOffset+12, startPosY+6)), + xy=((leftOffset, startPosY - 6), (leftOffset + 12, startPosY + 6)), fill=YELLOW, outline=BLACK) - im_drawer.text(xy=(canvas.size[0] - xRightOffset - 170, startPosY+TEXT_Y_DISPLACEMENT), + im_drawer.text(xy=(canvas.size[0] - xRightOffset - 170, startPosY + TEXT_Y_DISPLACEMENT), text='Frequency of the Peak LRS', font=smallLabelFont, fill=BLACK) - def drawProbeSetPosition(self, canvas, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + def drawProbeSetPosition(self, canvas, plotXScale, offset=(40, 120, 80, 10), zoom=1, startMb= None, endMb = None): im_drawer = ImageDraw.Draw(canvas) if len(self.traitList) != 1: return @@ -896,21 +896,21 @@ class DisplayMappingResults: if self.plotScale == "physic": this_chr = str(self.ChrList[self.selectedChr][0]) else: - this_chr = str(self.ChrList[self.selectedChr][1]+1) + this_chr = str(self.ChrList[self.selectedChr][1] + 1) if self.plotScale == 'physic': if self.selectedChr > -1: if this_chr != Chr or Mb < self.startMb or Mb > self.endMb: return else: - locPixel = xLeftOffset + (Mb-self.startMb)*plotXScale + locPixel = xLeftOffset + (Mb - self.startMb) * plotXScale else: locPixel = xLeftOffset for i, _chr in enumerate(self.ChrList[1:]): if _chr[0] != Chr: - locPixel += (self.ChrLengthDistList[i] + self.GraphInterval)*plotXScale + locPixel += (self.ChrLengthDistList[i] + self.GraphInterval) * plotXScale else: - locPixel += Mb*plotXScale + locPixel += Mb * plotXScale break else: if self.selectedChr > -1: @@ -918,33 +918,33 @@ class DisplayMappingResults: if qtlresult['chr'] != self.selectedChr: continue - if i==0 and qtlresult['Mb'] >= Mb: - locPixel=-1 + if i == 0 and qtlresult['Mb'] >= Mb: + locPixel = -1 break - #the trait's position is between two traits - if i > 0 and self.qtlresults[i-1]['Mb'] < Mb and qtlresult['Mb'] >= Mb: - locPixel = xLeftOffset + plotXScale*(self.qtlresults[i-1]['Mb']+(qtlresult['Mb']-self.qtlresults[i-1]['Mb'])*(Mb - self.qtlresults[i-1]['Mb'])/(qtlresult['Mb']-self.qtlresults[i-1]['Mb'])) + # the trait's position is between two traits + if i > 0 and self.qtlresults[i - 1]['Mb'] < Mb and qtlresult['Mb'] >= Mb: + locPixel = xLeftOffset + plotXScale * (self.qtlresults[i - 1]['Mb'] + (qtlresult['Mb'] - self.qtlresults[i - 1]['Mb']) * (Mb - self.qtlresults[i - 1]['Mb']) / (qtlresult['Mb'] - self.qtlresults[i - 1]['Mb'])) break - #the trait's position is on the right of the last genotype - if i==len(self.qtlresults) and Mb>=qtlresult['Mb']: + # the trait's position is on the right of the last genotype + if i == len(self.qtlresults) and Mb >= qtlresult['Mb']: locPixel = -1 else: locPixel = xLeftOffset for i, _chr in enumerate(self.ChrList): - if i < (len(self.ChrList)-1): + if i < (len(self.ChrList) - 1): if _chr != Chr: - locPixel += (self.ChrLengthDistList[i] + self.GraphInterval)*plotXScale + locPixel += (self.ChrLengthDistList[i] + self.GraphInterval) * plotXScale else: - locPixel += (Mb*(_chr[-1].cM-_chr[0].cM)/self.ChrLengthCMList[i])*plotXScale + locPixel += (Mb * (_chr[-1].cM - _chr[0].cM) / self.ChrLengthCMList[i]) * plotXScale break if locPixel >= 0 and self.plotScale == 'physic': - traitPixel = ((locPixel, yZero), (locPixel-7, yZero+14), (locPixel+7, yZero+14)) + traitPixel = ((locPixel, yZero), (locPixel - 7, yZero + 14), (locPixel + 7, yZero + 14)) draw_open_polygon(canvas, xy=traitPixel, outline=BLACK, fill=self.TRANSCRIPT_LOCATION_COLOR) - def drawSNPTrackNew(self, canvas, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + def drawSNPTrackNew(self, canvas, offset=(40, 120, 80, 10), zoom=1, startMb= None, endMb = None): im_drawer = ImageDraw.Draw(canvas) if self.plotScale != 'physic' or self.selectedChr == -1 or not self.diffCol: return @@ -963,36 +963,36 @@ class DisplayMappingResults: #chrName = self.genotype[0].name chrName = self.ChrList[self.selectedChr][0] - stepMb = (endMb-startMb)/plotWidth + stepMb = (endMb - startMb) / plotWidth strainId1, strainId2 = self.diffCol SNPCounts = [] - while startMb<endMb: + while startMb < endMb: snp_count = g.db.execute(""" select count(*) from BXDSnpPosition where Chr = '%s' AND Mb >= %2.6f AND Mb < %2.6f AND StrainId1 = %d AND StrainId2 = %d - """ % (chrName, startMb, startMb+stepMb, strainId1, strainId2)).fetchone()[0] + """ % (chrName, startMb, startMb + stepMb, strainId1, strainId2)).fetchone()[0] SNPCounts.append(snp_count) startMb += stepMb if (len(SNPCounts) > 0): maxCount = max(SNPCounts) - if maxCount>0: + if maxCount > 0: for i in range(xLeftOffset, xLeftOffset + plotWidth): - snpDensity = float(SNPCounts[i-xLeftOffset]*SNP_HEIGHT_MODIFIER/maxCount) + snpDensity = float(SNPCounts[i - xLeftOffset] * SNP_HEIGHT_MODIFIER / maxCount) im_drawer.line( - xy=((i, drawSNPLocationY+(snpDensity)*zoom), - (i, drawSNPLocationY-(snpDensity)*zoom)), + xy=((i, drawSNPLocationY + (snpDensity) * zoom), + (i, drawSNPLocationY - (snpDensity) * zoom)), fill=self.SNP_COLOR, width=1) - def drawMultiTraitName(self, fd, canvas, gifmap, showLocusForm, offset= (40, 120, 80, 10), zoom = 1): + def drawMultiTraitName(self, fd, canvas, gifmap, showLocusForm, offset=(40, 120, 80, 10), zoom=1): nameWidths = [] yPaddingTop = 10 - colorFont=ImageFont.truetype(font=TREBUC_FILE, size=12) - if len(self.qtlresults) >20 and self.selectedChr > -1: + colorFont = ImageFont.truetype(font=TREBUC_FILE, size=12) + if len(self.qtlresults) > 20 and self.selectedChr > -1: rightShift = 20 rightShiftStep = 60 rectWidth = 10 @@ -1004,7 +1004,7 @@ class DisplayMappingResults: for k, thisTrait in enumerate(self.traitList): thisLRSColor = self.colorCollection[k] kstep = k % 4 - if k!=0 and kstep==0: + if k != 0 and kstep == 0: if nameWidths: rightShiftStep = max(nameWidths[-4:]) + rectWidth + 20 rightShift += rightShiftStep @@ -1014,19 +1014,19 @@ class DisplayMappingResults: nameWidths.append(nameWidth) im_drawer.rectangle( - xy=((rightShift, yPaddingTop+kstep*15), - (rectWidth+rightShift, yPaddingTop+10+kstep*15)), + xy=((rightShift, yPaddingTop + kstep * 15), + (rectWidth + rightShift, yPaddingTop + 10+kstep*15)), fill=thisLRSColor, outline=BLACK) im_drawer.text( - text=name, xy=(rectWidth+2+rightShift, yPaddingTop+10+kstep*15), + text=name, xy=(rectWidth + 2 + rightShift, yPaddingTop + 10 + kstep * 15), font=colorFont, fill=BLACK) if thisTrait.db: - COORDS = "%d,%d,%d,%d" %(rectWidth+2+rightShift, yPaddingTop+kstep*15, rectWidth+2+rightShift+nameWidth, yPaddingTop+10+kstep*15,) - HREF= "javascript:showDatabase3('%s','%s','%s','');" % (showLocusForm, thisTrait.db.name, thisTrait.name) + COORDS = "%d,%d,%d,%d" % (rectWidth + 2 + rightShift, yPaddingTop + kstep * 15, rectWidth + 2 + rightShift + nameWidth, yPaddingTop + 10 + kstep * 15,) + HREF = "javascript:showDatabase3('%s','%s','%s','');" % (showLocusForm, thisTrait.db.name, thisTrait.name) Areas = HtmlGenWrapper.create_area_tag(shape='rect', coords=COORDS, href=HREF) - gifmap.append(Areas) ### TODO + gifmap.append(Areas) # TODO - def drawLegendPanel(self, canvas, offset= (40, 120, 80, 10), zoom = 1): + def drawLegendPanel(self, canvas, offset=(40, 120, 80, 10), zoom=1): im_drawer = ImageDraw.Draw(canvas) xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset plotWidth = canvas.size[0] - xLeftOffset - xRightOffset @@ -1037,80 +1037,80 @@ class DisplayMappingResults: if zoom == 2: fontZoom = 1.5 - labelFont=ImageFont.truetype(font=TREBUC_FILE, size=12*fontZoom) + labelFont = ImageFont.truetype(font=TREBUC_FILE, size=12 * fontZoom) startPosY = 15 - stepPosY = 12*fontZoom + stepPosY = 12 * fontZoom startPosX = canvas.size[0] - xRightOffset - 415 if hasattr(self.traitList[0], 'chr') and hasattr(self.traitList[0], 'mb'): startPosY = 15 nCol = 2 - smallLabelFont = ImageFont.truetype(font=TREBUC_FILE, size=12*fontZoom) + smallLabelFont = ImageFont.truetype(font=TREBUC_FILE, size=12 * fontZoom) leftOffset = canvas.size[0] - xRightOffset - 190 draw_open_polygon( canvas, xy=( - (leftOffset + 6, startPosY-7), - (leftOffset - 1, startPosY+7), - (leftOffset + 13, startPosY+7)), + (leftOffset + 6, startPosY - 7), + (leftOffset - 1, startPosY + 7), + (leftOffset + 13, startPosY + 7)), outline=BLACK, fill=self.TRANSCRIPT_LOCATION_COLOR ) TEXT_Y_DISPLACEMENT = -8 im_drawer.text( text="Sequence Site", - xy=(leftOffset + 20, startPosY+TEXT_Y_DISPLACEMENT), font=smallLabelFont, + xy=(leftOffset + 20, startPosY + TEXT_Y_DISPLACEMENT), font=smallLabelFont, fill=self.TOP_RIGHT_INFO_COLOR) if self.manhattan_plot != True: im_drawer.line( - xy=((startPosX, startPosY), (startPosX+32, startPosY)), + xy=((startPosX, startPosY), (startPosX + 32, startPosY)), fill=self.LRS_COLOR, width=2) im_drawer.text( - text=self.LRS_LOD, xy=(startPosX+40, startPosY+TEXT_Y_DISPLACEMENT), + text=self.LRS_LOD, xy=(startPosX + 40, startPosY + TEXT_Y_DISPLACEMENT), font=labelFont, fill=BLACK) startPosY += stepPosY if self.additiveChecked: im_drawer.line( - xy=((startPosX, startPosY), (startPosX+17, startPosY)), + xy=((startPosX, startPosY), (startPosX + 17, startPosY)), fill=self.ADDITIVE_COLOR_POSITIVE, width=2) im_drawer.line( - xy=((startPosX+18, startPosY), (startPosX+32, startPosY)), + xy=((startPosX + 18, startPosY), (startPosX + 32, startPosY)), fill=self.ADDITIVE_COLOR_NEGATIVE, width=2) im_drawer.text( - text='Additive Effect', xy=(startPosX+40, startPosY+TEXT_Y_DISPLACEMENT), + text='Additive Effect', xy=(startPosX + 40, startPosY + TEXT_Y_DISPLACEMENT), font=labelFont, fill=BLACK) startPosY += stepPosY if self.genotype.type == 'intercross' and self.dominanceChecked: im_drawer.line( - xy=((startPosX, startPosY), (startPosX+17, startPosY)), + xy=((startPosX, startPosY), (startPosX + 17, startPosY)), fill=self.DOMINANCE_COLOR_POSITIVE, width=4) im_drawer.line( - xy=((startPosX+18, startPosY), (startPosX+35, startPosY)), + xy=((startPosX + 18, startPosY), (startPosX + 35, startPosY)), fill=self.DOMINANCE_COLOR_NEGATIVE, width=4) im_drawer.text( - text='Dominance Effect', xy=(startPosX+42, startPosY+5), + text='Dominance Effect', xy=(startPosX + 42, startPosY + 5), font=labelFont, fill=BLACK) startPosY += stepPosY if self.haplotypeAnalystChecked: im_drawer.line( - xy=((startPosX-34, startPosY), (startPosX-17, startPosY)), + xy=((startPosX - 34, startPosY), (startPosX - 17, startPosY)), fill=self.HAPLOTYPE_POSITIVE, width=4) im_drawer.line( - xy=((startPosX-17, startPosY), (startPosX, startPosY)), + xy=((startPosX - 17, startPosY), (startPosX, startPosY)), fill=self.HAPLOTYPE_NEGATIVE, width=4) im_drawer.line( - xy=((startPosX, startPosY), (startPosX+17, startPosY)), + xy=((startPosX, startPosY), (startPosX + 17, startPosY)), fill=self.HAPLOTYPE_HETEROZYGOUS, width=4) im_drawer.line( - xy=((startPosX+17, startPosY), (startPosX+34, startPosY)), + xy=((startPosX + 17, startPosY), (startPosX + 34, startPosY)), fill=self.HAPLOTYPE_RECOMBINATION, width=4) im_drawer.text( text='Haplotypes (Pat, Mat, Het, Unk)', - xy=(startPosX+41, startPosY+TEXT_Y_DISPLACEMENT), font=labelFont, fill=BLACK) + xy=(startPosX + 41, startPosY + TEXT_Y_DISPLACEMENT), font=labelFont, fill=BLACK) startPosY += stepPosY if self.permChecked and self.nperm > 0: @@ -1118,20 +1118,20 @@ class DisplayMappingResults: if self.multipleInterval and not self.bootChecked: thisStartX = canvas.size[0] - xRightOffset - 205 im_drawer.line( - xy=((thisStartX, startPosY), ( startPosX + 32, startPosY)), + xy=((thisStartX, startPosY), (startPosX + 32, startPosY)), fill=self.SIGNIFICANT_COLOR, width=self.SIGNIFICANT_WIDTH) im_drawer.line( - xy=((thisStartX, startPosY + stepPosY), ( startPosX + 32, startPosY + stepPosY)), + xy=((thisStartX, startPosY + stepPosY), (startPosX + 32, startPosY + stepPosY)), fill=self.SUGGESTIVE_COLOR, width=self.SUGGESTIVE_WIDTH) im_drawer.text( text='Significant %s = %2.2f' % (self.LRS_LOD, self.significant), - xy=(thisStartX+40, startPosY+TEXT_Y_DISPLACEMENT), font=labelFont, fill=BLACK) + xy=(thisStartX + 40, startPosY + TEXT_Y_DISPLACEMENT), font=labelFont, fill=BLACK) im_drawer.text( text='Suggestive %s = %2.2f' % (self.LRS_LOD, self.suggestive), - xy=(thisStartX+40, startPosY + TEXT_Y_DISPLACEMENT +stepPosY), font=labelFont, + xy=(thisStartX + 40, startPosY + TEXT_Y_DISPLACEMENT + stepPosY), font=labelFont, fill=BLACK) - labelFont = ImageFont.truetype(font=VERDANA_FILE, size=12*fontZoom) + labelFont = ImageFont.truetype(font=VERDANA_FILE, size=12 * fontZoom) labelColor = BLACK if self.dataset.type == "Publish" or self.dataset.type == "Geno": @@ -1195,17 +1195,17 @@ class DisplayMappingResults: identification += "Trait: %s" % (self.this_trait.name) identification += " with %s samples" % (self.n_samples) - d = 4+ max( + d = 4 + max( im_drawer.textsize(identification, font=labelFont)[0], im_drawer.textsize(string1, font=labelFont)[0], im_drawer.textsize(string2, font=labelFont)[0]) im_drawer.text( text=identification, - xy=(xLeftOffset, y_constant*fontZoom), font=labelFont, + xy=(xLeftOffset, y_constant * fontZoom), font=labelFont, fill=labelColor) y_constant += 15 else: - d = 4+ max( + d = 4 + max( im_drawer.textsize(string1, font=labelFont)[0], im_drawer.textsize(string2, font=labelFont)[0]) @@ -1223,28 +1223,28 @@ class DisplayMappingResults: transform_text += "Invert +/-" im_drawer.text( - text=transform_text, xy=(xLeftOffset, y_constant*fontZoom), + text=transform_text, xy=(xLeftOffset, y_constant * fontZoom), font=labelFont, fill=labelColor) y_constant += 15 im_drawer.text( - text=string1, xy=(xLeftOffset, y_constant*fontZoom), + text=string1, xy=(xLeftOffset, y_constant * fontZoom), font=labelFont, fill=labelColor) y_constant += 15 im_drawer.text( - text=string2, xy=(xLeftOffset, y_constant*fontZoom), + text=string2, xy=(xLeftOffset, y_constant * fontZoom), font=labelFont, fill=labelColor) y_constant += 15 if string3 != '': im_drawer.text( - text=string3, xy=(xLeftOffset, y_constant*fontZoom), + text=string3, xy=(xLeftOffset, y_constant * fontZoom), font=labelFont, fill=labelColor) y_constant += 15 if string4 != '': im_drawer.text( - text=string4, xy=(xLeftOffset, y_constant*fontZoom), + text=string4, xy=(xLeftOffset, y_constant * fontZoom), font=labelFont, fill=labelColor) - def drawGeneBand(self, canvas, gifmap, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + def drawGeneBand(self, canvas, gifmap, plotXScale, offset=(40, 120, 80, 10), zoom=1, startMb= None, endMb = None): im_drawer = ImageDraw.Draw(canvas) if self.plotScale != 'physic' or self.selectedChr == -1 or not self.geneCol: return @@ -1264,9 +1264,9 @@ class DisplayMappingResults: if self.dataset.group.species == "mouse": txStart = theGO["TxStart"] txEnd = theGO["TxEnd"] - geneLength = (txEnd - txStart)*1000.0 - tenPercentLength = geneLength*0.0001 - SNPdensity = theGO["snpCount"]/geneLength + geneLength = (txEnd - txStart) * 1000.0 + tenPercentLength = geneLength * 0.0001 + SNPdensity = theGO["snpCount"] / geneLength exonStarts = list(map(float, theGO['exonStarts'].split(",")[:-1])) exonEnds = list(map(float, theGO['exonEnds'].split(",")[:-1])) @@ -1277,23 +1277,23 @@ class DisplayMappingResults: strand = theGO["Strand"] exonCount = theGO["exonCount"] - geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) - geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) #at least one pixel + geneStartPix = xLeftOffset + plotXScale * (float(txStart) - startMb) + geneEndPix = xLeftOffset + plotXScale * (float(txEnd) - startMb) # at least one pixel if (geneEndPix < xLeftOffset): - return; # this gene is not on the screen + return; # this gene is not on the screen elif (geneEndPix > xLeftOffset + plotWidth): - geneEndPix = xLeftOffset + plotWidth; # clip the last in-range gene + geneEndPix = xLeftOffset + plotWidth; # clip the last in-range gene if (geneStartPix > xLeftOffset + plotWidth): - return; # we are outside the valid on-screen range, so stop drawing genes + return; # we are outside the valid on-screen range, so stop drawing genes elif (geneStartPix < xLeftOffset): - geneStartPix = xLeftOffset; # clip the first in-range gene + geneStartPix = xLeftOffset; # clip the first in-range gene - #color the gene based on SNP density - #found earlier, needs to be recomputed as snps are added - #always apply colors now, even if SNP Track not checked - Zach 11/24/2010 + # color the gene based on SNP density + # found earlier, needs to be recomputed as snps are added + # always apply colors now, even if SNP Track not checked - Zach 11/24/2010 - densities=[1.0000000000000001e-05, 0.094094033555233408, 0.3306166377816987, 0.88246026851027781, 2.6690084029581951, 4.1, 61.0] + densities = [1.0000000000000001e-05, 0.094094033555233408, 0.3306166377816987, 0.88246026851027781, 2.6690084029581951, 4.1, 61.0] if SNPdensity < densities[0]: myColor = BLACK elif SNPdensity < densities[1]: @@ -1310,11 +1310,11 @@ class DisplayMappingResults: myColor = DARKRED outlineColor = myColor - fillColor = myColor + fillColor = myColor TITLE = "Gene: %s (%s)\nFrom %2.3f to %2.3f Mb (%s)\nNum. exons: %d." % (geneSymbol, accession, float(txStart), float(txEnd), strand, exonCount) # NL: 06-02-2011 Rob required to change this link for gene related - HREF=geneNCBILink %geneSymbol + HREF = geneNCBILink % geneSymbol elif self.dataset.group.species == "rat": exonStarts = [] @@ -1327,85 +1327,85 @@ class DisplayMappingResults: strand = theGO["Strand"] exonCount = 0 - geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) - geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) #at least one pixel + geneStartPix = xLeftOffset + plotXScale * (float(txStart) - startMb) + geneEndPix = xLeftOffset + plotXScale * (float(txEnd) - startMb) # at least one pixel if (geneEndPix < xLeftOffset): - return; # this gene is not on the screen + return; # this gene is not on the screen elif (geneEndPix > xLeftOffset + plotWidth): - geneEndPix = xLeftOffset + plotWidth; # clip the last in-range gene + geneEndPix = xLeftOffset + plotWidth; # clip the last in-range gene if (geneStartPix > xLeftOffset + plotWidth): - return; # we are outside the valid on-screen range, so stop drawing genes + return; # we are outside the valid on-screen range, so stop drawing genes elif (geneStartPix < xLeftOffset): - geneStartPix = xLeftOffset; # clip the first in-range gene + geneStartPix = xLeftOffset; # clip the first in-range gene outlineColor = DARKBLUE fillColor = DARKBLUE TITLE = "Gene: %s\nFrom %2.3f to %2.3f Mb (%s)" % (geneSymbol, float(txStart), float(txEnd), strand) # NL: 06-02-2011 Rob required to change this link for gene related - HREF=geneNCBILink %geneSymbol + HREF = geneNCBILink % geneSymbol else: outlineColor = ORANGE fillColor = ORANGE TITLE = "Gene: %s" % geneSymbol - #Draw Genes - geneYLocation = yPaddingTop + (gIndex % self.NUM_GENE_ROWS) * self.EACH_GENE_HEIGHT*zoom + # Draw Genes + geneYLocation = yPaddingTop + (gIndex % self.NUM_GENE_ROWS) * self.EACH_GENE_HEIGHT * zoom if self.dataset.group.species == "mouse" or self.dataset.group.species == "rat": - geneYLocation += 4*self.BAND_HEIGHT + 4*self.BAND_SPACING + geneYLocation += 4 * self.BAND_HEIGHT + 4 * self.BAND_SPACING else: - geneYLocation += 3*self.BAND_HEIGHT + 3*self.BAND_SPACING + geneYLocation += 3 * self.BAND_HEIGHT + 3 * self.BAND_SPACING - #draw the detail view + # draw the detail view if self.endMb - self.startMb <= self.DRAW_DETAIL_MB and geneEndPix - geneStartPix > self.EACH_GENE_ARROW_SPACING * 3: utrColor = ImageColor.getrgb("rgb(66%, 66%, 66%)") arrowColor = ImageColor.getrgb("rgb(70%, 70%, 70%)") - #draw the line that runs the entire length of the gene + # draw the line that runs the entire length of the gene im_drawer.line( xy=( - (geneStartPix, geneYLocation + self.EACH_GENE_HEIGHT/2*zoom), - ( geneEndPix, geneYLocation + self.EACH_GENE_HEIGHT/2*zoom)), + (geneStartPix, geneYLocation + self.EACH_GENE_HEIGHT / 2 * zoom), + (geneEndPix, geneYLocation + self.EACH_GENE_HEIGHT / 2 *zoom)), fill=outlineColor, width=1) - #draw the arrows + # draw the arrows if geneEndPix - geneStartPix < 1: genePixRange = 1 else: genePixRange = int(geneEndPix - geneStartPix) for xCoord in range(0, genePixRange): - if (xCoord % self.EACH_GENE_ARROW_SPACING == 0 and xCoord + self.EACH_GENE_ARROW_SPACING < geneEndPix-geneStartPix) or xCoord == 0: + if (xCoord % self.EACH_GENE_ARROW_SPACING == 0 and xCoord + self.EACH_GENE_ARROW_SPACING < geneEndPix - geneStartPix) or xCoord == 0: if strand == "+": im_drawer.line( xy=((geneStartPix + xCoord, geneYLocation), (geneStartPix + xCoord + self.EACH_GENE_ARROW_WIDTH, - geneYLocation +(self.EACH_GENE_HEIGHT / 2)*zoom)), + geneYLocation + (self.EACH_GENE_HEIGHT / 2) * zoom)), fill=arrowColor, width=1) im_drawer.line( xy=((geneStartPix + xCoord, - geneYLocation + self.EACH_GENE_HEIGHT*zoom), - (geneStartPix + xCoord+self.EACH_GENE_ARROW_WIDTH, + geneYLocation + self.EACH_GENE_HEIGHT * zoom), + (geneStartPix + xCoord + self.EACH_GENE_ARROW_WIDTH, geneYLocation + (self.EACH_GENE_HEIGHT / 2) * zoom)), fill=arrowColor, width=1) else: im_drawer.line( xy=((geneStartPix + xCoord + self.EACH_GENE_ARROW_WIDTH, geneYLocation), - ( geneStartPix + xCoord, - geneYLocation +(self.EACH_GENE_HEIGHT / 2)*zoom)), + (geneStartPix + xCoord, + geneYLocation + (self.EACH_GENE_HEIGHT / 2) * zoom)), fill=arrowColor, width=1) im_drawer.line( xy=((geneStartPix + xCoord + self.EACH_GENE_ARROW_WIDTH, - geneYLocation + self.EACH_GENE_HEIGHT*zoom), - ( geneStartPix + xCoord, - geneYLocation + (self.EACH_GENE_HEIGHT / 2)*zoom)), + geneYLocation + self.EACH_GENE_HEIGHT * zoom), + (geneStartPix + xCoord, + geneYLocation + (self.EACH_GENE_HEIGHT / 2) * zoom)), fill=arrowColor, width=1) - #draw the blocks for the exon regions + # draw the blocks for the exon regions for i in range(0, len(exonStarts)): - exonStartPix = (exonStarts[i]-startMb)*plotXScale + xLeftOffset - exonEndPix = (exonEnds[i]-startMb)*plotXScale + xLeftOffset + exonStartPix = (exonStarts[i] - startMb) * plotXScale + xLeftOffset + exonEndPix = (exonEnds[i] - startMb) * plotXScale + xLeftOffset if (exonStartPix < xLeftOffset): exonStartPix = xLeftOffset if (exonEndPix < xLeftOffset): @@ -1416,13 +1416,13 @@ class DisplayMappingResults: exonStartPix = xLeftOffset + plotWidth im_drawer.rectangle( xy=((exonStartPix, geneYLocation), - (exonEndPix, (geneYLocation + self.EACH_GENE_HEIGHT*zoom))), - outline = outlineColor, fill = fillColor) + (exonEndPix, (geneYLocation + self.EACH_GENE_HEIGHT * zoom))), + outline=outlineColor, fill=fillColor) - #draw gray blocks for 3' and 5' UTR blocks + # draw gray blocks for 3' and 5' UTR blocks if cdsStart and cdsEnd: - utrStartPix = (txStart-startMb)*plotXScale + xLeftOffset - utrEndPix = (cdsStart-startMb)*plotXScale + xLeftOffset + utrStartPix = (txStart - startMb) * plotXScale + xLeftOffset + utrEndPix = (cdsStart - startMb) * plotXScale + xLeftOffset if (utrStartPix < xLeftOffset): utrStartPix = xLeftOffset if (utrEndPix < xLeftOffset): @@ -1439,13 +1439,13 @@ class DisplayMappingResults: labelText = "5'" im_drawer.text( text=labelText, - xy=(utrStartPix-9, geneYLocation+self.EACH_GENE_HEIGHT), + xy=(utrStartPix - 9, geneYLocation + self.EACH_GENE_HEIGHT), font=ImageFont.truetype(font=ARIAL_FILE, size=2)) - #the second UTR region + # the second UTR region - utrStartPix = (cdsEnd-startMb)*plotXScale + xLeftOffset - utrEndPix = (txEnd-startMb)*plotXScale + xLeftOffset + utrStartPix = (cdsEnd - startMb) * plotXScale + xLeftOffset + utrEndPix = (txEnd - startMb) * plotXScale + xLeftOffset if (utrStartPix < xLeftOffset): utrStartPix = xLeftOffset if (utrEndPix < xLeftOffset): @@ -1462,17 +1462,17 @@ class DisplayMappingResults: labelText = "3'" im_drawer.text( text=labelText, - xy=(utrEndPix+2, geneYLocation+self.EACH_GENE_HEIGHT), + xy=(utrEndPix + 2, geneYLocation + self.EACH_GENE_HEIGHT), font=ImageFont.truetype(font=ARIAL_FILE, size=2)) - #draw the genes as rectangles + # draw the genes as rectangles else: im_drawer.rectangle( xy=((geneStartPix, geneYLocation), - (geneEndPix, (geneYLocation + self.EACH_GENE_HEIGHT*zoom))), - outline= outlineColor, fill = fillColor) + (geneEndPix, (geneYLocation + self.EACH_GENE_HEIGHT * zoom))), + outline=outlineColor, fill=fillColor) - COORDS = "%d, %d, %d, %d" %(geneStartPix, geneYLocation, geneEndPix, (geneYLocation + self.EACH_GENE_HEIGHT)) + COORDS = "%d, %d, %d, %d" % (geneStartPix, geneYLocation, geneEndPix, (geneYLocation + self.EACH_GENE_HEIGHT)) # NL: 06-02-2011 Rob required to display NCBI info in a new window gifmap.append( HtmlGenWrapper.create_area_tag( @@ -1482,8 +1482,8 @@ class DisplayMappingResults: title=TITLE, target="_blank")) -## BEGIN HaplotypeAnalyst - def drawHaplotypeBand(self, canvas, gifmap, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): +# BEGIN HaplotypeAnalyst + def drawHaplotypeBand(self, canvas, gifmap, plotXScale, offset=(40, 120, 80, 10), zoom=1, startMb= None, endMb = None): if self.plotScale != 'physic' or self.selectedChr == -1 or not self.geneCol: return @@ -1496,7 +1496,7 @@ class DisplayMappingResults: samplelist = list(self.genotype.prgy) - smd=[] + smd = [] for sample in self.sample_vals_dict.keys(): if self.sample_vals_dict[sample] != "x" and sample in samplelist: temp = GeneralObject(name=sample, value=float(self.sample_vals_dict[sample])) @@ -1504,24 +1504,24 @@ class DisplayMappingResults: else: continue - smd.sort(key = lambda A: A.value) + smd.sort(key=lambda A: A.value) smd.reverse() oldgeneEndPix = -1 - #Initializing plotRight, error before + # Initializing plotRight, error before plotRight = xRightOffset im_drawer = ImageDraw.Draw(canvas) -#### find out PlotRight +# find out PlotRight for _chr in self.genotype: if _chr.name == self.ChrList[self.selectedChr][0]: for i, _locus in enumerate(_chr): txStart = _chr[i].Mb - txEnd = _chr[i].Mb + txEnd = _chr[i].Mb - geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) - 0 - geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) - 0 + geneStartPix = xLeftOffset + plotXScale * (float(txStart) - startMb) - 0 + geneEndPix = xLeftOffset + plotXScale * (float(txEnd) - startMb) - 0 drawit = 1 if (geneStartPix < xLeftOffset): @@ -1530,27 +1530,27 @@ class DisplayMappingResults: drawit = 0; if drawit == 1: - if _chr[i].name != " - " : + if _chr[i].name != " - ": plotRight = geneEndPix + 4 -#### end find out PlotRight +# end find out PlotRight firstGene = 1 lastGene = 0 - #Sets the length to the length of the strain list. Beforehand, "oldgeno = self.genotype[0][i].genotype" - #was the only place it was initialized, which worked as long as the very start (startMb = None/0) wasn't being mapped. - #Now there should always be some value set for "oldgeno" - Zach 12/14/2010 - oldgeno = [None]*len(self.strainlist) + # Sets the length to the length of the strain list. Beforehand, "oldgeno = self.genotype[0][i].genotype" + # was the only place it was initialized, which worked as long as the very start (startMb = None/0) wasn't being mapped. + # Now there should always be some value set for "oldgeno" - Zach 12/14/2010 + oldgeno = [None] * len(self.strainlist) for i, _chr in enumerate(self.genotype): if _chr.name == self.ChrList[self.selectedChr][0]: for j, _locus in enumerate(_chr): txStart = _chr[j].Mb - txEnd = _chr[j].Mb + txEnd = _chr[j].Mb - geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) - 0 - geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) + 0 + geneStartPix = xLeftOffset + plotXScale * (float(txStart) - startMb) - 0 + geneEndPix = xLeftOffset + plotXScale * (float(txEnd) - startMb) + 0 if oldgeneEndPix >= xLeftOffset: drawStart = oldgeneEndPix + 4 @@ -1582,36 +1582,36 @@ class DisplayMappingResults: if drawit == 1: myColor = DARKBLUE outlineColor = myColor - fillColor = myColor + fillColor = myColor - maxind=0 + maxind = 0 - #Draw Genes + # Draw Genes - geneYLocation = yPaddingTop + self.NUM_GENE_ROWS * (self.EACH_GENE_HEIGHT)*zoom + geneYLocation = yPaddingTop + self.NUM_GENE_ROWS * (self.EACH_GENE_HEIGHT) * zoom if self.dataset.group.species == "mouse" or self.dataset.group.species == "rat": - geneYLocation += 4*self.BAND_HEIGHT + 4*self.BAND_SPACING + geneYLocation += 4 * self.BAND_HEIGHT + 4 * self.BAND_SPACING else: - geneYLocation += 3*self.BAND_HEIGHT + 3*self.BAND_SPACING + geneYLocation += 3 * self.BAND_HEIGHT + 3 * self.BAND_SPACING - if _chr[j].name != " - " : + if _chr[j].name != " - ": if (firstGene == 1) and (lastGene != 1): oldgeneEndPix = drawStart = xLeftOffset oldgeno = _chr[j].genotype continue - for k, _geno in enumerate (_chr[j].genotype): - plotbxd=0 + for k, _geno in enumerate(_chr[j].genotype): + plotbxd = 0 if samplelist[k] in [item.name for item in smd]: - plotbxd=1 + plotbxd = 1 if (plotbxd == 1): ind = 0 if samplelist[k] in [item.name for item in smd]: ind = [item.name for item in smd].index(samplelist[k]) - maxind=max(ind, maxind) + maxind = max(ind, maxind) # lines if (oldgeno[k] == -1 and _geno == -1): @@ -1621,27 +1621,27 @@ class DisplayMappingResults: elif (oldgeno[k] == 0 and _geno == 0): mylineColor = self.HAPLOTYPE_HETEROZYGOUS else: - mylineColor = self.HAPLOTYPE_RECOMBINATION # XZ: Unknown + mylineColor = self.HAPLOTYPE_RECOMBINATION # XZ: Unknown im_drawer.line( xy=((drawStart, - geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom), + geneYLocation + 7 + 2*ind*self.EACH_GENE_HEIGHT*zoom), (drawEnd, - geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom)), - fill= mylineColor, width=zoom*(self.EACH_GENE_HEIGHT+2)) + geneYLocation + 7 + 2*ind*self.EACH_GENE_HEIGHT*zoom)), + fill= mylineColor, width=zoom * (self.EACH_GENE_HEIGHT + 2)) - fillColor=BLACK - outlineColor=BLACK + fillColor = BLACK + outlineColor = BLACK if lastGene == 0: im_drawer.rectangle( xy=((geneStartPix, - geneYLocation+2*ind*self.EACH_GENE_HEIGHT*zoom), + geneYLocation + 2 * ind*self.EACH_GENE_HEIGHT*zoom), (geneEndPix, - geneYLocation+2*ind*self.EACH_GENE_HEIGHT+ 2*self.EACH_GENE_HEIGHT*zoom)), + geneYLocation + 2 *ind*self.EACH_GENE_HEIGHT + 2*self.EACH_GENE_HEIGHT*zoom)), outline=outlineColor, fill=fillColor) - COORDS = "%d, %d, %d, %d" %(geneStartPix, geneYLocation+ind*self.EACH_GENE_HEIGHT, geneEndPix+1, (geneYLocation + ind*self.EACH_GENE_HEIGHT)) + COORDS = "%d, %d, %d, %d" % (geneStartPix, geneYLocation + ind * self.EACH_GENE_HEIGHT, geneEndPix + 1, (geneYLocation + ind * self.EACH_GENE_HEIGHT)) TITLE = "Strain: %s, marker (%s) \n Position %2.3f Mb." % (samplelist[k], _chr[j].name, float(txStart)) HREF = '' gifmap.append( @@ -1658,10 +1658,10 @@ class DisplayMappingResults: mylineColor = self.HAPLOTYPE_RECOMBINATION im_drawer.line( xy=((plotRight, - geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom), + geneYLocation + 7 + 2*ind*self.EACH_GENE_HEIGHT*zoom), (drawEnd, - geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom)), - fill= mylineColor, width=zoom*(self.EACH_GENE_HEIGHT+2)) + geneYLocation + 7 + 2*ind*self.EACH_GENE_HEIGHT*zoom)), + fill= mylineColor, width=zoom * (self.EACH_GENE_HEIGHT + 2)) if lastGene == 0: @@ -1670,7 +1670,7 @@ class DisplayMappingResults: font=ImageFont.truetype(font=VERDANA_FILE, size=12), xy=(geneStartPix, - geneYLocation+17+2*maxind*self.EACH_GENE_HEIGHT*zoom), + geneYLocation + 17 + 2*maxind*self.EACH_GENE_HEIGHT*zoom), fill=BLACK, angle=-90) oldgeneEndPix = geneEndPix; @@ -1683,9 +1683,9 @@ class DisplayMappingResults: if _chr.name == self.ChrList[self.selectedChr][0]: for j, _geno in enumerate(_chr[1].genotype): - plotbxd=0 + plotbxd = 0 if samplelist[j] in [item.name for item in smd]: - plotbxd=1 + plotbxd = 1 if (plotbxd == 1): ind = [item.name for item in smd].index(samplelist[j]) - 1 @@ -1695,19 +1695,19 @@ class DisplayMappingResults: im_drawer.text( text="%s" % (samplelist[j]), xy=((xLeftOffset + plotWidth + 10), - geneYLocation+11+2*ind*self.EACH_GENE_HEIGHT*zoom), + geneYLocation + 11 + 2*ind*self.EACH_GENE_HEIGHT*zoom), font=ImageFont.truetype(font=VERDANA_FILE, size=12), fill=BLACK) im_drawer.text( text="%2.2f" % (expr), xy=((xLeftOffset + plotWidth + 60), - geneYLocation+11+2*ind*self.EACH_GENE_HEIGHT*zoom), + geneYLocation + 11 + 2*ind*self.EACH_GENE_HEIGHT*zoom), font=ImageFont.truetype(font=VERDANA_FILE, size=12), fill=BLACK) -## END HaplotypeAnalyst +# END HaplotypeAnalyst - def drawClickBand(self, canvas, gifmap, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + def drawClickBand(self, canvas, gifmap, plotXScale, offset=(40, 120, 80, 10), zoom=1, startMb= None, endMb = None): im_drawer = ImageDraw.Draw(canvas) if self.plotScale != 'physic' or self.selectedChr == -1: return @@ -1724,12 +1724,12 @@ class DisplayMappingResults: # but it makes the HTML huge, and takes forever to render the page in the first place) # Draw the bands that you can click on to go to UCSC / Ensembl MAX_CLICKABLE_REGION_DIVISIONS = 100 - clickableRegionLabelFont=ImageFont.truetype(font=VERDANA_FILE, size=9) - pixelStep = max(5, int(float(plotWidth)/MAX_CLICKABLE_REGION_DIVISIONS)) + clickableRegionLabelFont = ImageFont.truetype(font=VERDANA_FILE, size=9) + pixelStep = max(5, int(float(plotWidth) / MAX_CLICKABLE_REGION_DIVISIONS)) # pixelStep: every N pixels, we make a new clickable area for the user to go to that area of the genome. - numBasesCurrentlyOnScreen = self.kONE_MILLION*abs(startMb - endMb) # Number of bases on screen now - flankingWidthInBases = int ( min( (float(numBasesCurrentlyOnScreen) / 2.0), (5*self.kONE_MILLION) ) ) + numBasesCurrentlyOnScreen = self.kONE_MILLION * abs(startMb - endMb) # Number of bases on screen now + flankingWidthInBases = int (min((float(numBasesCurrentlyOnScreen) / 2.0), (5*self.kONE_MILLION))) webqtlZoomWidth = numBasesCurrentlyOnScreen / 16.0 # Flanking width should be such that we either zoom in to a 10 million base region, or we show the clicked region at the same scale as we are currently seeing. @@ -1739,22 +1739,22 @@ class DisplayMappingResults: paddingTop = yTopOffset if self.dataset.group.species == "mouse" or self.dataset.group.species == "rat": phenogenPaddingTop = paddingTop + (self.BAND_HEIGHT + self.BAND_SPACING) - ucscPaddingTop = paddingTop + 2*(self.BAND_HEIGHT + self.BAND_SPACING) - ensemblPaddingTop = paddingTop + 3*(self.BAND_HEIGHT + self.BAND_SPACING) + ucscPaddingTop = paddingTop + 2 * (self.BAND_HEIGHT + self.BAND_SPACING) + ensemblPaddingTop = paddingTop + 3 * (self.BAND_HEIGHT + self.BAND_SPACING) else: ucscPaddingTop = paddingTop + (self.BAND_HEIGHT + self.BAND_SPACING) - ensemblPaddingTop = paddingTop + 2*(self.BAND_HEIGHT + self.BAND_SPACING) + ensemblPaddingTop = paddingTop + 2 * (self.BAND_HEIGHT + self.BAND_SPACING) if zoom == 1: for pixel in range(xLeftOffset, xLeftOffset + plotWidth, pixelStep): - calBase = self.kONE_MILLION*(startMb + (endMb-startMb)*(pixel-xLeftOffset-0.0)/plotWidth) + calBase = self.kONE_MILLION * (startMb + (endMb - startMb) * (pixel - xLeftOffset - 0.0) / plotWidth) xBrowse1 = pixel xBrowse2 = min(xLeftOffset + plotWidth, (pixel + pixelStep - 1)) - WEBQTL_COORDS = "%d, %d, %d, %d" % (xBrowse1, paddingTop, xBrowse2, (paddingTop+self.BAND_HEIGHT)) - WEBQTL_HREF = "javascript:rangeView('%s', %f, %f)" % (self.selectedChr - 1, max(0, (calBase-webqtlZoomWidth))/1000000.0, (calBase+webqtlZoomWidth)/1000000.0) + WEBQTL_COORDS = "%d, %d, %d, %d" % (xBrowse1, paddingTop, xBrowse2, (paddingTop + self.BAND_HEIGHT)) + WEBQTL_HREF = "javascript:rangeView('%s', %f, %f)" % (self.selectedChr - 1, max(0, (calBase - webqtlZoomWidth)) / 1000000.0, (calBase + webqtlZoomWidth) / 1000000.0) WEBQTL_TITLE = "Click to view this section of the genome in WebQTL" gifmap.append( @@ -1769,15 +1769,15 @@ class DisplayMappingResults: outline=self.CLICKABLE_WEBQTL_REGION_COLOR, fill=self.CLICKABLE_WEBQTL_REGION_COLOR) im_drawer.line( - xy=((xBrowse1, paddingTop), ( xBrowse1, (paddingTop + self.BAND_HEIGHT))), + xy=((xBrowse1, paddingTop), (xBrowse1, (paddingTop + self.BAND_HEIGHT))), fill=self.CLICKABLE_WEBQTL_REGION_OUTLINE_COLOR) if self.dataset.group.species == "mouse" or self.dataset.group.species == "rat": - PHENOGEN_COORDS = "%d, %d, %d, %d" % (xBrowse1, phenogenPaddingTop, xBrowse2, (phenogenPaddingTop+self.BAND_HEIGHT)) + PHENOGEN_COORDS = "%d, %d, %d, %d" % (xBrowse1, phenogenPaddingTop, xBrowse2, (phenogenPaddingTop + self.BAND_HEIGHT)) if self.dataset.group.species == "mouse": - PHENOGEN_HREF = "https://phenogen.org/gene.jsp?speciesCB=Mm&auto=Y&geneTxt=chr%s:%d-%d&genomeVer=mm10" % (self.selectedChr, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) + PHENOGEN_HREF = "https://phenogen.org/gene.jsp?speciesCB=Mm&auto=Y&geneTxt=chr%s:%d-%d&genomeVer=mm10" % (self.selectedChr, max(0, calBase - flankingWidthInBases), calBase + flankingWidthInBases) else: - PHENOGEN_HREF = "https://phenogen.org/gene.jsp?speciesCB=Mm&auto=Y&geneTxt=chr%s:%d-%d&genomeVer=mm10" % (self.selectedChr, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) + PHENOGEN_HREF = "https://phenogen.org/gene.jsp?speciesCB=Mm&auto=Y&geneTxt=chr%s:%d-%d&genomeVer=mm10" % (self.selectedChr, max(0, calBase - flankingWidthInBases), calBase + flankingWidthInBases) PHENOGEN_TITLE = "Click to view this section of the genome in PhenoGen" gifmap.append( HtmlGenWrapper.create_area_tag( @@ -1787,18 +1787,18 @@ class DisplayMappingResults: title=PHENOGEN_TITLE)) im_drawer.rectangle( xy=((xBrowse1, phenogenPaddingTop), - (xBrowse2, (phenogenPaddingTop+self.BAND_HEIGHT))), + (xBrowse2, (phenogenPaddingTop + self.BAND_HEIGHT))), outline=self.CLICKABLE_PHENOGEN_REGION_COLOR, fill=self.CLICKABLE_PHENOGEN_REGION_COLOR) im_drawer.line( - xy=((xBrowse1, phenogenPaddingTop), ( xBrowse1, (phenogenPaddingTop+self.BAND_HEIGHT))), + xy=((xBrowse1, phenogenPaddingTop), (xBrowse1, (phenogenPaddingTop + self.BAND_HEIGHT))), fill=self.CLICKABLE_PHENOGEN_REGION_OUTLINE_COLOR) - UCSC_COORDS = "%d, %d, %d, %d" %(xBrowse1, ucscPaddingTop, xBrowse2, (ucscPaddingTop+self.BAND_HEIGHT)) + UCSC_COORDS = "%d, %d, %d, %d" % (xBrowse1, ucscPaddingTop, xBrowse2, (ucscPaddingTop + self.BAND_HEIGHT)) if self.dataset.group.species == "mouse": - UCSC_HREF = "http://genome.ucsc.edu/cgi-bin/hgTracks?db=%s&position=chr%s:%d-%d&hgt.customText=%s/snp/chr%s" % (self._ucscDb, self.selectedChr, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases, webqtlConfig.PORTADDR, self.selectedChr) + UCSC_HREF = "http://genome.ucsc.edu/cgi-bin/hgTracks?db=%s&position=chr%s:%d-%d&hgt.customText=%s/snp/chr%s" % (self._ucscDb, self.selectedChr, max(0, calBase - flankingWidthInBases), calBase + flankingWidthInBases, webqtlConfig.PORTADDR, self.selectedChr) else: - UCSC_HREF = "http://genome.ucsc.edu/cgi-bin/hgTracks?db=%s&position=chr%s:%d-%d" % (self._ucscDb, self.selectedChr, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) + UCSC_HREF = "http://genome.ucsc.edu/cgi-bin/hgTracks?db=%s&position=chr%s:%d-%d" % (self._ucscDb, self.selectedChr, max(0, calBase - flankingWidthInBases), calBase + flankingWidthInBases) UCSC_TITLE = "Click to view this section of the genome in the UCSC Genome Browser" gifmap.append( HtmlGenWrapper.create_area_tag( @@ -1808,19 +1808,19 @@ class DisplayMappingResults: title=UCSC_TITLE)) im_drawer.rectangle( xy=((xBrowse1, ucscPaddingTop), - (xBrowse2, (ucscPaddingTop+self.BAND_HEIGHT))), + (xBrowse2, (ucscPaddingTop + self.BAND_HEIGHT))), outline=self.CLICKABLE_UCSC_REGION_COLOR, fill=self.CLICKABLE_UCSC_REGION_COLOR) im_drawer.line( xy=((xBrowse1, ucscPaddingTop), - (xBrowse1, (ucscPaddingTop+self.BAND_HEIGHT))), + (xBrowse1, (ucscPaddingTop + self.BAND_HEIGHT))), fill=self.CLICKABLE_UCSC_REGION_OUTLINE_COLOR) - ENSEMBL_COORDS = "%d, %d, %d, %d" %(xBrowse1, ensemblPaddingTop, xBrowse2, (ensemblPaddingTop+self.BAND_HEIGHT)) + ENSEMBL_COORDS = "%d, %d, %d, %d" % (xBrowse1, ensemblPaddingTop, xBrowse2, (ensemblPaddingTop + self.BAND_HEIGHT)) if self.dataset.group.species == "mouse": - ENSEMBL_HREF = "http://www.ensembl.org/Mus_musculus/contigview?highlight=&chr=%s&vc_start=%d&vc_end=%d&x=35&y=12" % (self.selectedChr, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) + ENSEMBL_HREF = "http://www.ensembl.org/Mus_musculus/contigview?highlight=&chr=%s&vc_start=%d&vc_end=%d&x=35&y=12" % (self.selectedChr, max(0, calBase - flankingWidthInBases), calBase + flankingWidthInBases) else: - ENSEMBL_HREF = "http://www.ensembl.org/Rattus_norvegicus/contigview?chr=%s&start=%d&end=%d" % (self.selectedChr, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) + ENSEMBL_HREF = "http://www.ensembl.org/Rattus_norvegicus/contigview?chr=%s&start=%d&end=%d" % (self.selectedChr, max(0, calBase - flankingWidthInBases), calBase + flankingWidthInBases) ENSEMBL_TITLE = "Click to view this section of the genome in the Ensembl Genome Browser" gifmap.append(HtmlGenWrapper.create_area_tag( shape='rect', @@ -1829,36 +1829,36 @@ class DisplayMappingResults: title=ENSEMBL_TITLE)) im_drawer.rectangle( xy=((xBrowse1, ensemblPaddingTop), - (xBrowse2, (ensemblPaddingTop+self.BAND_HEIGHT))), + (xBrowse2, (ensemblPaddingTop + self.BAND_HEIGHT))), outline=self.CLICKABLE_ENSEMBL_REGION_COLOR, fill=self.CLICKABLE_ENSEMBL_REGION_COLOR) im_drawer.line( xy=((xBrowse1, ensemblPaddingTop), - (xBrowse1, (ensemblPaddingTop+self.BAND_HEIGHT))), + (xBrowse1, (ensemblPaddingTop + self.BAND_HEIGHT))), fill=self.CLICKABLE_ENSEMBL_REGION_OUTLINE_COLOR) # end for im_drawer.text( text="Click to view the corresponding section of the genome in an 8x expanded WebQTL map", - xy=((xLeftOffset + 10), paddingTop),# + self.BAND_HEIGHT/2), + xy=((xLeftOffset + 10), paddingTop), # + self.BAND_HEIGHT/2), font=clickableRegionLabelFont, fill=self.CLICKABLE_WEBQTL_TEXT_COLOR) if self.dataset.group.species == "mouse" or self.dataset.group.species == "rat": im_drawer.text( text="Click to view the corresponding section of the genome in PhenoGen", - xy=((xLeftOffset + 10), phenogenPaddingTop),# + self.BAND_HEIGHT/2), + xy=((xLeftOffset + 10), phenogenPaddingTop), # + self.BAND_HEIGHT/2), font=clickableRegionLabelFont, fill=self.CLICKABLE_PHENOGEN_TEXT_COLOR) im_drawer.text( text="Click to view the corresponding section of the genome in the UCSC Genome Browser", - xy=((xLeftOffset + 10), ucscPaddingTop),# + self.BAND_HEIGHT/2), + xy=((xLeftOffset + 10), ucscPaddingTop), # + self.BAND_HEIGHT/2), font=clickableRegionLabelFont, fill=self.CLICKABLE_UCSC_TEXT_COLOR) im_drawer.text( text="Click to view the corresponding section of the genome in the Ensembl Genome Browser", - xy=((xLeftOffset+10), ensemblPaddingTop),# + self.BAND_HEIGHT/2), + xy=((xLeftOffset + 10), ensemblPaddingTop), # + self.BAND_HEIGHT/2), font=clickableRegionLabelFont, fill=self.CLICKABLE_ENSEMBL_TEXT_COLOR) - #draw the gray text - chrFont = ImageFont.truetype(font=VERDANA_BOLD_FILE, size=26*zoom) + # draw the gray text + chrFont = ImageFont.truetype(font=VERDANA_BOLD_FILE, size=26 * zoom) chrX = xLeftOffset + plotWidth - 2 - im_drawer.textsize( "Chr %s" % self.ChrList[self.selectedChr][0], font=chrFont)[0] im_drawer.text( @@ -1866,17 +1866,17 @@ class DisplayMappingResults: xy=(chrX, phenogenPaddingTop), font=chrFont, fill=GRAY) # end of drawBrowserClickableRegions else: - #draw the gray text - chrFont = ImageFont.truetype(font=VERDANA_FILE, size=26*zoom) + # draw the gray text + chrFont = ImageFont.truetype(font=VERDANA_FILE, size=26 * zoom) chrX = xLeftOffset + (plotWidth - im_drawer.textsize( - "Chr %s" % currentChromosome, font=chrFont)[0])/2 + "Chr %s" % currentChromosome, font=chrFont)[0]) / 2 im_drawer.text( text="Chr %s" % currentChromosome, xy=(chrX, 32), font=chrFont, fill=GRAY) # end of drawBrowserClickableRegions pass - def drawXAxis(self, canvas, drawAreaHeight, gifmap, plotXScale, showLocusForm, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + def drawXAxis(self, canvas, drawAreaHeight, gifmap, plotXScale, showLocusForm, offset=(40, 120, 80, 10), zoom=1, startMb= None, endMb = None): im_drawer = ImageDraw.Draw(canvas) xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset plotWidth = canvas.size[0] - xLeftOffset - xRightOffset @@ -1886,33 +1886,33 @@ class DisplayMappingResults: if zoom == 2: fontZoom = 1.5 - #Parameters - NUM_MINOR_TICKS = 5 # Number of minor ticks between major ticks + # Parameters + NUM_MINOR_TICKS = 5 # Number of minor ticks between major ticks X_MAJOR_TICK_THICKNESS = 3 X_MINOR_TICK_THICKNESS = 1 - X_AXIS_THICKNESS = 1*zoom + X_AXIS_THICKNESS = 1 * zoom # ======= Alex: Draw the X-axis labels (megabase location) - MBLabelFont = ImageFont.truetype(font=VERDANA_FILE, size=15*zoom) - xMajorTickHeight = 10 * zoom # How high the tick extends below the axis - xMinorTickHeight = 5*zoom + MBLabelFont = ImageFont.truetype(font=VERDANA_FILE, size=15 * zoom) + xMajorTickHeight = 10 * zoom # How high the tick extends below the axis + xMinorTickHeight = 5 * zoom xAxisTickMarkColor = BLACK xAxisLabelColor = BLACK - fontHeight = 12*fontZoom # How tall the font that we're using is + fontHeight = 12 * fontZoom # How tall the font that we're using is spacingFromLabelToAxis = 10 if self.plotScale == 'physic': - strYLoc = yZero + MBLabelFont.font.height/2 - ###Physical single chromosome view + strYLoc = yZero + MBLabelFont.font.height / 2 + # Physical single chromosome view if self.selectedChr > -1: XScale = Plot.detScale(startMb, endMb) XStart, XEnd, XStep = XScale if XStep < 8: XStep *= 2 - spacingAmtX = spacingAmt = (XEnd-XStart)/XStep + spacingAmtX = spacingAmt = (XEnd - XStart) / XStep j = 0 - while abs(spacingAmtX -int(spacingAmtX)) >= spacingAmtX/100.0 and j < 6: + while abs(spacingAmtX - int(spacingAmtX)) >= spacingAmtX / 100.0 and j < 6: j += 1 spacingAmtX *= 10 @@ -1921,13 +1921,13 @@ class DisplayMappingResults: for counter, _Mb in enumerate(Plot.frange(XStart, XEnd, spacingAmt / NUM_MINOR_TICKS)): if _Mb < startMb or _Mb > endMb: continue - Xc = xLeftOffset + plotXScale*(_Mb - startMb) - if counter % NUM_MINOR_TICKS == 0: # Draw a MAJOR mark, not just a minor tick mark + Xc = xLeftOffset + plotXScale * (_Mb - startMb) + if counter % NUM_MINOR_TICKS == 0: # Draw a MAJOR mark, not just a minor tick mark im_drawer.line(xy=((Xc, yZero), - (Xc, yZero+xMajorTickHeight)), + (Xc, yZero + xMajorTickHeight)), fill=xAxisTickMarkColor, - width=X_MAJOR_TICK_THICKNESS) # Draw the MAJOR tick mark - labelStr = str(formatStr % _Mb) # What Mbase location to put on the label + width=X_MAJOR_TICK_THICKNESS) # Draw the MAJOR tick mark + labelStr = str(formatStr % _Mb) # What Mbase location to put on the label strWidth, strHeight = im_drawer.textsize(labelStr, font=MBLabelFont) drawStringXc = (Xc - (strWidth / 2.0)) im_drawer.text(xy=(drawStringXc, strYLoc), @@ -1935,16 +1935,16 @@ class DisplayMappingResults: fill=xAxisLabelColor) else: im_drawer.line(xy=((Xc, yZero), - (Xc, yZero+xMinorTickHeight)), + (Xc, yZero + xMinorTickHeight)), fill=xAxisTickMarkColor, - width=X_MINOR_TICK_THICKNESS) # Draw the MINOR tick mark + width=X_MINOR_TICK_THICKNESS) # Draw the MINOR tick mark - ###Physical genome wide view + # Physical genome wide view else: distScale = 0 startPosX = xLeftOffset for i, distLen in enumerate(self.ChrLengthDistList): - if distScale == 0: #universal scale in whole genome mapping + if distScale == 0: # universal scale in whole genome mapping if distLen > 75: distScale = 25 elif distLen > 30: @@ -1953,51 +1953,51 @@ class DisplayMappingResults: distScale = 5 for j, tickdists in enumerate(range(distScale, int(ceil(distLen)), distScale)): im_drawer.line( - xy=((startPosX+tickdists*plotXScale, yZero), - (startPosX+tickdists*plotXScale, yZero + 7)), - fill=BLACK, width=1*zoom) + xy=((startPosX + tickdists * plotXScale, yZero), + (startPosX + tickdists * plotXScale, yZero + 7)), + fill=BLACK, width=1 * zoom) if j % 2 == 0: draw_rotated_text( canvas, text=str(tickdists), font=MBLabelFont, - xy=(startPosX+tickdists*plotXScale, - yZero+10*zoom), fill=BLACK, angle=270) - startPosX += (self.ChrLengthDistList[i]+self.GraphInterval)*plotXScale + xy=(startPosX + tickdists * plotXScale, + yZero + 10 * zoom), fill=BLACK, angle=270) + startPosX += (self.ChrLengthDistList[i] + self.GraphInterval) * plotXScale - megabaseLabelFont = ImageFont.truetype(font=VERDANA_FILE, size=int(18*zoom*1.5)) + megabaseLabelFont = ImageFont.truetype(font=VERDANA_FILE, size=int(18 * zoom * 1.5)) im_drawer.text( text="Megabases", xy=( - xLeftOffset+(plotWidth-im_drawer.textsize( - "Megabases", font=megabaseLabelFont)[0])/2, - strYLoc+MBLabelFont.font.height+10*(zoom%2)), + xLeftOffset + (plotWidth - im_drawer.textsize( + "Megabases", font=megabaseLabelFont)[0]) / 2, + strYLoc + MBLabelFont.font.height + 10*(zoom%2)), font=megabaseLabelFont, fill=BLACK) pass else: - strYLoc = yZero + spacingFromLabelToAxis + MBLabelFont.font.height/2 + strYLoc = yZero + spacingFromLabelToAxis + MBLabelFont.font.height / 2 ChrAInfo = [] preLpos = -1 distinctCount = 0.0 - if self.selectedChr == -1: #ZS: If viewing full genome/all chromosomes + if self.selectedChr == -1: # ZS: If viewing full genome/all chromosomes for i, _chr in enumerate(self.genotype): thisChr = [] Locus0CM = _chr[0].cM nLoci = len(_chr) - if nLoci <= 8: + if nLoci <= 8: for _locus in _chr: if _locus.name != ' - ': if _locus.cM != preLpos: distinctCount += 1 preLpos = _locus.cM - thisChr.append([_locus.name, _locus.cM-Locus0CM]) + thisChr.append([_locus.name, _locus.cM - Locus0CM]) else: - for j in (0, nLoci/4, nLoci/2, nLoci*3/4, -1): + for j in (0, nLoci / 4, nLoci / 2, nLoci*3/4, -1): while _chr[j].name == ' - ': j += 1 if _chr[j].cM != preLpos: distinctCount += 1 preLpos = _chr[j].cM - thisChr.append([_chr[j].name, _chr[j].cM-Locus0CM]) + thisChr.append([_chr[j].name, _chr[j].cM - Locus0CM]) ChrAInfo.append(thisChr) else: for i, _chr in enumerate(self.genotype): @@ -2009,10 +2009,10 @@ class DisplayMappingResults: if _locus.cM != preLpos: distinctCount += 1 preLpos = _locus.cM - thisChr.append([_locus.name, _locus.cM-Locus0CM]) + thisChr.append([_locus.name, _locus.cM - Locus0CM]) ChrAInfo.append(thisChr) - stepA = (plotWidth+0.0)/distinctCount + stepA = (plotWidth + 0.0) / distinctCount LRectWidth = 10 LRectHeight = 3 @@ -2037,28 +2037,28 @@ class DisplayMappingResults: Zorder = 0 if differ: im_drawer.line( - xy=((startPosX+Lpos, yZero), (xLeftOffset+offsetA,\ - yZero+25)), + xy=((startPosX + Lpos, yZero), (xLeftOffset + offsetA,\ + yZero + 25)), fill=lineColor) im_drawer.line( - xy=((xLeftOffset+offsetA, yZero+25), (xLeftOffset+offsetA,\ - yZero+40+Zorder*(LRectWidth+3))), + xy=((xLeftOffset + offsetA, yZero + 25), (xLeftOffset+offsetA,\ + yZero + 40 + Zorder*(LRectWidth+3))), fill=lineColor) rectColor = ORANGE else: im_drawer.line( - xy=((xLeftOffset+offsetA, yZero+40+Zorder*(LRectWidth+3)-3), (\ - xLeftOffset+offsetA, yZero+40+Zorder*(LRectWidth+3))), + xy=((xLeftOffset + offsetA, yZero + 40+Zorder*(LRectWidth+3)-3), (\ + xLeftOffset + offsetA, yZero + 40+Zorder*(LRectWidth+3))), fill=lineColor) rectColor = DEEPPINK im_drawer.rectangle( - xy=((xLeftOffset+offsetA, yZero+40+Zorder*(LRectWidth+3)), - (xLeftOffset+offsetA-LRectHeight, - yZero+40+Zorder*(LRectWidth+3)+LRectWidth)), - outline=rectColor, fill=rectColor, width = 0) - COORDS="%d,%d,%d,%d"%(xLeftOffset+offsetA-LRectHeight, yZero+40+Zorder*(LRectWidth+3),\ - xLeftOffset+offsetA,yZero+40+Zorder*(LRectWidth+3)+LRectWidth) - HREF = "/show_trait?trait_id=%s&dataset=%s" % (Lname, self.dataset.group.name+"Geno") + xy=((xLeftOffset + offsetA, yZero + 40+Zorder*(LRectWidth+3)), + (xLeftOffset + offsetA - LRectHeight, + yZero + 40 + Zorder*(LRectWidth+3)+LRectWidth)), + outline=rectColor, fill=rectColor, width=0) + COORDS = "%d,%d,%d,%d" % (xLeftOffset+offsetA-LRectHeight, yZero+40+Zorder*(LRectWidth+3),\ + xLeftOffset + offsetA, yZero +40+Zorder*(LRectWidth+3)+LRectWidth) + HREF = "/show_trait?trait_id=%s&dataset=%s" % (Lname, self.dataset.group.name + "Geno") #HREF="javascript:showDatabase3('%s','%s','%s','');" % (showLocusForm,fd.RISet+"Geno", Lname) Areas = HtmlGenWrapper.create_area_tag( shape='rect', @@ -2067,26 +2067,26 @@ class DisplayMappingResults: target="_blank", title="Locus : {}".format(Lname)) gifmap.append(Areas) - ##piddle bug + # piddle bug if j == 0: im_drawer.line( - xy=((startPosX, yZero), (startPosX, yZero+40)), + xy=((startPosX, yZero), (startPosX, yZero + 40)), fill=lineColor) - startPosX += (self.ChrLengthDistList[j]+self.GraphInterval)*plotXScale + startPosX += (self.ChrLengthDistList[j] + self.GraphInterval) * plotXScale - centimorganLabelFont = ImageFont.truetype(font=VERDANA_FILE, size=int(18*zoom*1.5)) + centimorganLabelFont = ImageFont.truetype(font=VERDANA_FILE, size=int(18 * zoom * 1.5)) im_drawer.text( text="Centimorgans", - xy=(xLeftOffset+(plotWidth-im_drawer.textsize( - "Centimorgans", font=centimorganLabelFont)[0])/2, - strYLoc + MBLabelFont.font.height+ 10*(zoom%2)), + xy=(xLeftOffset + (plotWidth - im_drawer.textsize( + "Centimorgans", font=centimorganLabelFont)[0]) / 2, + strYLoc + MBLabelFont.font.height + 10 * (zoom %2)), font=centimorganLabelFont, fill=BLACK) - im_drawer.line(xy=((xLeftOffset, yZero), (xLeftOffset+plotWidth, yZero)), - fill=BLACK, width=X_AXIS_THICKNESS) # Draw the X axis itself + im_drawer.line(xy=((xLeftOffset, yZero), (xLeftOffset + plotWidth, yZero)), + fill=BLACK, width=X_AXIS_THICKNESS) # Draw the X axis itself - def drawQTL(self, canvas, drawAreaHeight, gifmap, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + def drawQTL(self, canvas, drawAreaHeight, gifmap, plotXScale, offset=(40, 120, 80, 10), zoom=1, startMb= None, endMb = None): im_drawer = ImageDraw.Draw(canvas) xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset plotWidth = canvas.size[0] - xLeftOffset - xRightOffset @@ -2095,16 +2095,16 @@ class DisplayMappingResults: if zoom == 2: fontZoom = 1.5 - INTERCROSS = (self.genotype.type=="intercross") + INTERCROSS = (self.genotype.type == "intercross") - #draw the LRS scale - #We first determine whether or not we are using a sliding scale. - #If so, we need to compute the maximum LRS value to determine where the max y-value should be, and call this LRS_LOD_Max. - #LRSTop is then defined to be above the LRS_LOD_Max by enough to add one additional LRSScale increment. - #if we are using a set-scale, then we set LRSTop to be the user's value, and LRS_LOD_Max doesn't matter. + # draw the LRS scale + # We first determine whether or not we are using a sliding scale. + # If so, we need to compute the maximum LRS value to determine where the max y-value should be, and call this LRS_LOD_Max. + # LRSTop is then defined to be above the LRS_LOD_Max by enough to add one additional LRSScale increment. + # if we are using a set-scale, then we set LRSTop to be the user's value, and LRS_LOD_Max doesn't matter. - #ZS: This is a mess, but I don't know a better way to account for different mapping methods returning results in different formats + the option to change between LRS and LOD - if self.lrsMax <= 0: #sliding scale + # ZS: This is a mess, but I don't know a better way to account for different mapping methods returning results in different formats + the option to change between LRS and LOD + if self.lrsMax <= 0: # sliding scale if "lrs_value" in self.qtlresults[0]: LRS_LOD_Max = max([result['lrs_value'] for result in self.qtlresults]) if self.LRS_LOD == "LOD" or self.LRS_LOD == "-logP": @@ -2135,34 +2135,34 @@ class DisplayMappingResults: if self.permChecked and self.nperm > 0 and not self.multipleInterval: LRS_LOD_Max = max(self.significant, LRS_LOD_Max) - #genotype trait will give infinite LRS + # genotype trait will give infinite LRS LRS_LOD_Max = min(LRS_LOD_Max, webqtlConfig.MAXLRS) else: LRS_LOD_Max = self.lrsMax - #ZS: Needed to pass to genome browser + # ZS: Needed to pass to genome browser js_data = json.loads(self.js_data) if self.LRS_LOD == "LRS": - js_data['max_score'] = LRS_LOD_Max/4.61 + js_data['max_score'] = LRS_LOD_Max / 4.61 else: js_data['max_score'] = LRS_LOD_Max self.js_data = json.dumps(js_data) - LRSScaleFont=ImageFont.truetype(font=VERDANA_FILE, size=16*zoom) - LRSLODFont=ImageFont.truetype(font=VERDANA_FILE, size=int(18*zoom*1.5)) + LRSScaleFont = ImageFont.truetype(font=VERDANA_FILE, size=16 * zoom) + LRSLODFont = ImageFont.truetype(font=VERDANA_FILE, size=int(18 * zoom * 1.5)) yZero = yTopOffset + plotHeight # LRSHeightThresh = drawAreaHeight # AdditiveHeightThresh = drawAreaHeight/2 # DominanceHeightThresh = drawAreaHeight/2 if self.selectedChr == 1: - LRSHeightThresh = drawAreaHeight - yTopOffset + 30*(zoom - 1) - AdditiveHeightThresh = LRSHeightThresh/2 - DominanceHeightThresh = LRSHeightThresh/2 + LRSHeightThresh = drawAreaHeight - yTopOffset + 30 * (zoom - 1) + AdditiveHeightThresh = LRSHeightThresh / 2 + DominanceHeightThresh = LRSHeightThresh / 2 else: LRSHeightThresh = drawAreaHeight - AdditiveHeightThresh = drawAreaHeight/2 - DominanceHeightThresh = drawAreaHeight/2 + AdditiveHeightThresh = drawAreaHeight / 2 + DominanceHeightThresh = drawAreaHeight / 2 # LRSHeightThresh = (yZero - yTopOffset + 30*(zoom - 1)) # AdditiveHeightThresh = LRSHeightThresh/2 # DominanceHeightThresh = LRSHeightThresh/2 @@ -2178,7 +2178,7 @@ class DisplayMappingResults: LRSAxisList = Plot.frange(LRSScale, LRS_LOD_Max, LRSScale) - #ZS: Convert to int if all axis values are whole numbers + # ZS: Convert to int if all axis values are whole numbers all_int = True for item in LRSAxisList: if isinstance(item, int): @@ -2192,9 +2192,9 @@ class DisplayMappingResults: # else: # max_lrs_width = canvas.stringWidth("%2.1f" % LRS_LOD_Max, font=LRSScaleFont) + 30 - #draw the "LRS" or "LOD" string to the left of the axis - LRSScaleFont=ImageFont.truetype(font=VERDANA_FILE, size=16*zoom) - LRSLODFont=ImageFont.truetype(font=VERDANA_FILE, size=int(18*zoom*1.5)) + # draw the "LRS" or "LOD" string to the left of the axis + LRSScaleFont = ImageFont.truetype(font=VERDANA_FILE, size=16 * zoom) + LRSLODFont = ImageFont.truetype(font=VERDANA_FILE, size=int(18 * zoom * 1.5)) yZero = yTopOffset + plotHeight # TEXT_X_DISPLACEMENT = -20 @@ -2210,64 +2210,64 @@ class DisplayMappingResults: draw_rotated_text( canvas, text=self.LRS_LOD, font=LRSLODFont, xy=(xLeftOffset - im_drawer.textsize( - "999.99", font=LRSScaleFont)[0] - 15*(zoom-1) + TEXT_X_DISPLACEMENT, - yZero + TEXT_Y_DISPLACEMENT - 300*(zoom - 1)), + "999.99", font=LRSScaleFont)[0] - 15 * (zoom - 1) + TEXT_X_DISPLACEMENT, + yZero + TEXT_Y_DISPLACEMENT - 300 * (zoom - 1)), fill=BLACK, angle=90) for item in LRSAxisList: if LRS_LOD_Max == 0.0: LRS_LOD_Max = 0.000001 - yTopOffset + 30*(zoom - 1) - yLRS = yZero - (item/LRS_LOD_Max) * LRSHeightThresh - im_drawer.line(xy=((xLeftOffset, yLRS), (xLeftOffset-4, yLRS)), - fill=self.LRS_COLOR, width=1*zoom) + yTopOffset + 30 * (zoom - 1) + yLRS = yZero - (item / LRS_LOD_Max) * LRSHeightThresh + im_drawer.line(xy=((xLeftOffset, yLRS), (xLeftOffset - 4, yLRS)), + fill=self.LRS_COLOR, width=1 * zoom) if all_int: scaleStr = "%d" % item else: scaleStr = "%2.1f" % item - #Draw the LRS/LOD Y axis label + # Draw the LRS/LOD Y axis label TEXT_Y_DISPLACEMENT = -10 im_drawer.text( text=scaleStr, - xy=(xLeftOffset-4-im_drawer.textsize(scaleStr, font=LRSScaleFont)[0]-5, - yLRS+TEXT_Y_DISPLACEMENT), + xy=(xLeftOffset - 4 - im_drawer.textsize(scaleStr, font=LRSScaleFont)[0]-5, + yLRS + TEXT_Y_DISPLACEMENT), font=LRSScaleFont, fill=self.LRS_COLOR) if self.permChecked and self.nperm > 0 and not self.multipleInterval: - significantY = yZero - self.significant*LRSHeightThresh/LRS_LOD_Max - suggestiveY = yZero - self.suggestive*LRSHeightThresh/LRS_LOD_Max + significantY = yZero - self.significant * LRSHeightThresh / LRS_LOD_Max + suggestiveY = yZero - self.suggestive * LRSHeightThresh / LRS_LOD_Max # significantY = yZero - self.significant*LRSHeightThresh/LRSAxisList[-1] # suggestiveY = yZero - self.suggestive*LRSHeightThresh/LRSAxisList[-1] startPosX = xLeftOffset - #"Significant" and "Suggestive" Drawing Routine + # "Significant" and "Suggestive" Drawing Routine # ======= Draw the thick lines for "Significant" and "Suggestive" ===== (crowell: I tried to make the SNPs draw over these lines, but piddle wouldn't have it...) - #ZS: I don't know if what I did here with this inner function is clever or overly complicated, but it's the only way I could think of to avoid duplicating the code inside this function + # ZS: I don't know if what I did here with this inner function is clever or overly complicated, but it's the only way I could think of to avoid duplicating the code inside this function def add_suggestive_significant_lines_and_legend(start_pos_x, chr_length_dist): - rightEdge = int(start_pos_x + chr_length_dist*plotXScale - self.SUGGESTIVE_WIDTH/1.5) + rightEdge = int(start_pos_x + chr_length_dist * plotXScale - self.SUGGESTIVE_WIDTH / 1.5) im_drawer.line( - xy=((start_pos_x+self.SUGGESTIVE_WIDTH/1.5, suggestiveY), + xy=((start_pos_x + self.SUGGESTIVE_WIDTH / 1.5, suggestiveY), (rightEdge, suggestiveY)), - fill=self.SUGGESTIVE_COLOR, width=self.SUGGESTIVE_WIDTH*zoom - #,clipX=(xLeftOffset, xLeftOffset + plotWidth-2) + fill=self.SUGGESTIVE_COLOR, width=self.SUGGESTIVE_WIDTH * zoom + # ,clipX=(xLeftOffset, xLeftOffset + plotWidth-2) ) im_drawer.line( - xy=((start_pos_x+self.SUGGESTIVE_WIDTH/1.5, significantY), + xy=((start_pos_x + self.SUGGESTIVE_WIDTH / 1.5, significantY), (rightEdge, significantY)), fill=self.SIGNIFICANT_COLOR, - width=self.SIGNIFICANT_WIDTH*zoom - #, clipX=(xLeftOffset, xLeftOffset + plotWidth-2) + width=self.SIGNIFICANT_WIDTH * zoom + # , clipX=(xLeftOffset, xLeftOffset + plotWidth-2) ) - sugg_coords = "%d, %d, %d, %d" % (start_pos_x, suggestiveY-2, rightEdge + 2*zoom, suggestiveY+2) - sig_coords = "%d, %d, %d, %d" % (start_pos_x, significantY-2, rightEdge + 2*zoom, significantY+2) + sugg_coords = "%d, %d, %d, %d" % (start_pos_x, suggestiveY - 2, rightEdge + 2 * zoom, suggestiveY + 2) + sig_coords = "%d, %d, %d, %d" % (start_pos_x, significantY - 2, rightEdge + 2 * zoom, significantY + 2) if self.LRS_LOD == 'LRS': sugg_title = "Suggestive LRS = %0.2f" % self.suggestive sig_title = "Significant LRS = %0.2f" % self.significant else: - sugg_title = "Suggestive LOD = %0.2f" % (self.suggestive/4.61) - sig_title = "Significant LOD = %0.2f" % (self.significant/4.61) + sugg_title = "Suggestive LOD = %0.2f" % (self.suggestive / 4.61) + sig_title = "Significant LOD = %0.2f" % (self.significant / 4.61) Areas1 = HtmlGenWrapper.create_area_tag( shape='rect', coords=sugg_coords, @@ -2279,7 +2279,7 @@ class DisplayMappingResults: gifmap.append(Areas1) gifmap.append(Areas2) - start_pos_x += (chr_length_dist+self.GraphInterval)*plotXScale + start_pos_x += (chr_length_dist + self.GraphInterval) * plotXScale return start_pos_x for i, _chr in enumerate(self.genotype): @@ -2306,7 +2306,7 @@ class DisplayMappingResults: AdditiveCoordXY = [] DominanceCoordXY = [] - symbolFont = ImageFont.truetype(font=FNT_BS_FILE, size=5) #ZS: For Manhattan Plot + symbolFont = ImageFont.truetype(font=FNT_BS_FILE, size=5) # ZS: For Manhattan Plot previous_chr = 1 previous_chr_as_int = 0 @@ -2332,128 +2332,128 @@ class DisplayMappingResults: minusColor = self.ADDITIVE_COLOR_NEGATIVE for k, aPoint in enumerate(AdditiveCoordXY): if k > 0: - Xc0, Yc0 = AdditiveCoordXY[k-1] + Xc0, Yc0 = AdditiveCoordXY[k - 1] Xc, Yc = aPoint - if (Yc0-yZero)*(Yc-yZero) < 0: - if Xc == Xc0: #genotype , locus distance is 0 + if (Yc0 - yZero) * (Yc-yZero) < 0: + if Xc == Xc0: # genotype , locus distance is 0 Xcm = Xc else: - Xcm = (yZero-Yc0)/((Yc-Yc0)/(Xc-Xc0)) +Xc0 + Xcm = (yZero - Yc0) / ((Yc - Yc0) / (Xc - Xc0)) + Xc0 if Yc0 < yZero: im_drawer.line( xy=((Xc0, Yc0), (Xcm, yZero)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) im_drawer.line( - xy=((Xcm, yZero), (Xc, yZero-(Yc-yZero))), + xy=((Xcm, yZero), (Xc, yZero - (Yc - yZero))), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: im_drawer.line( - xy=((Xc0, yZero-(Yc0-yZero)), + xy=((Xc0, yZero - (Yc0 - yZero)), (Xcm, yZero)), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) im_drawer.line( xy=((Xcm, yZero), (Xc, Yc)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) - elif (Yc0-yZero)*(Yc-yZero) > 0: + elif (Yc0 - yZero) * (Yc-yZero) > 0: if Yc < yZero: im_drawer.line( xy=((Xc0, Yc0), (Xc, Yc)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: im_drawer.line( - xy=((Xc0, yZero - (Yc0-yZero)), - (Xc, yZero - (Yc-yZero))), + xy=((Xc0, yZero - (Yc0 - yZero)), + (Xc, yZero - (Yc - yZero))), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: - minYc = min(Yc-yZero, Yc0-yZero) + minYc = min(Yc - yZero, Yc0 - yZero) if minYc < 0: im_drawer.line( xy=((Xc0, Yc0), (Xc, Yc)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: im_drawer.line( - xy=((Xc0, yZero - (Yc0-yZero)), - (Xc, yZero - (Yc-yZero))), + xy=((Xc0, yZero - (Yc0 - yZero)), + (Xc, yZero - (Yc - yZero))), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) LRSCoordXY = [] AdditiveCoordXY = [] previous_chr = qtlresult['chr'] previous_chr_as_int += 1 - newStartPosX = (self.ChrLengthDistList[previous_chr_as_int - 1]+self.GraphInterval)*plotXScale + newStartPosX = (self.ChrLengthDistList[previous_chr_as_int - 1] + self.GraphInterval) * plotXScale if newStartPosX != oldStartPosX: startPosX += newStartPosX oldStartPosX = newStartPosX - #ZS: This is because the chromosome value stored in qtlresult['chr'] can be (for example) either X or 20 depending upon the mapping method/scale used + # ZS: This is because the chromosome value stored in qtlresult['chr'] can be (for example) either X or 20 depending upon the mapping method/scale used this_chr = str(self.ChrList[self.selectedChr][0]) if self.plotScale != "physic": - this_chr = str(self.ChrList[self.selectedChr][1]+1) + this_chr = str(self.ChrList[self.selectedChr][1] + 1) if self.selectedChr == -1 or str(qtlresult['chr']) == this_chr: if self.plotScale != "physic" and self.mapping_method == "reaper" and not self.manhattan_plot: - Xc = startPosX + (qtlresult['cM']-startMb)*plotXScale + Xc = startPosX + (qtlresult['cM'] - startMb) * plotXScale if hasattr(self.genotype, "filler"): if self.genotype.filler: if self.selectedChr != -1: start_cm = self.genotype[self.selectedChr - 1][0].cM - Xc = startPosX + (qtlresult['Mb'] - start_cm)*plotXScale + Xc = startPosX + (qtlresult['Mb'] - start_cm) * plotXScale else: start_cm = self.genotype[previous_chr_as_int][0].cM - Xc = startPosX + ((qtlresult['Mb']-start_cm-startMb)*plotXScale)*(((qtlresult['Mb']-start_cm-startMb)*plotXScale)/((qtlresult['Mb']-start_cm-startMb+self.GraphInterval)*plotXScale)) + Xc = startPosX + ((qtlresult['Mb'] - start_cm - startMb) * plotXScale) * (((qtlresult['Mb'] - start_cm - startMb) * plotXScale) / ((qtlresult['Mb'] - start_cm - startMb + self.GraphInterval) * plotXScale)) else: - Xc = startPosX + (qtlresult['Mb']-startMb)*plotXScale + Xc = startPosX + (qtlresult['Mb'] - startMb) * plotXScale # updated by NL 06-18-2011: # fix the over limit LRS graph issue since genotype trait may give infinite LRS; # for any lrs is over than 460(LRS max in this system), it will be reset to 460 - yLRS = yZero - (item/LRS_LOD_Max) * LRSHeightThresh + yLRS = yZero - (item / LRS_LOD_Max) * LRSHeightThresh if 'lrs_value' in qtlresult: if self.LRS_LOD == "LOD" or self.LRS_LOD == "-logP": - if qtlresult['lrs_value'] > 460 or qtlresult['lrs_value']=='inf': + if qtlresult['lrs_value'] > 460 or qtlresult['lrs_value'] == 'inf': #Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/(LRSAxisList[-1]*self.LODFACTOR) - Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/(LRS_LOD_Max*self.LODFACTOR) + Yc = yZero - webqtlConfig.MAXLRS * LRSHeightThresh / (LRS_LOD_Max * self.LODFACTOR) else: #Yc = yZero - qtlresult['lrs_value']*LRSHeightThresh/(LRSAxisList[-1]*self.LODFACTOR) - Yc = yZero - qtlresult['lrs_value']*LRSHeightThresh/(LRS_LOD_Max*self.LODFACTOR) + Yc = yZero - qtlresult['lrs_value'] * LRSHeightThresh / (LRS_LOD_Max * self.LODFACTOR) else: - if qtlresult['lrs_value'] > 460 or qtlresult['lrs_value']=='inf': + if qtlresult['lrs_value'] > 460 or qtlresult['lrs_value'] == 'inf': #Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/LRSAxisList[-1] - Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/LRS_LOD_Max + Yc = yZero - webqtlConfig.MAXLRS * LRSHeightThresh / LRS_LOD_Max else: #Yc = yZero - qtlresult['lrs_value']*LRSHeightThresh/LRSAxisList[-1] - Yc = yZero - qtlresult['lrs_value']*LRSHeightThresh/LRS_LOD_Max + Yc = yZero - qtlresult['lrs_value'] * LRSHeightThresh / LRS_LOD_Max else: - if qtlresult['lod_score'] > 100 or qtlresult['lod_score']=='inf': + if qtlresult['lod_score'] > 100 or qtlresult['lod_score'] == 'inf': #Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/LRSAxisList[-1] - Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/LRS_LOD_Max + Yc = yZero - webqtlConfig.MAXLRS * LRSHeightThresh / LRS_LOD_Max else: if self.LRS_LOD == "LRS": #Yc = yZero - qtlresult['lod_score']*self.LODFACTOR*LRSHeightThresh/LRSAxisList[-1] - Yc = yZero - qtlresult['lod_score']*self.LODFACTOR*LRSHeightThresh/LRS_LOD_Max + Yc = yZero - qtlresult['lod_score'] * self.LODFACTOR * LRSHeightThresh / LRS_LOD_Max else: #Yc = yZero - qtlresult['lod_score']*LRSHeightThresh/LRSAxisList[-1] - Yc = yZero - qtlresult['lod_score']*LRSHeightThresh/LRS_LOD_Max + Yc = yZero - qtlresult['lod_score'] * LRSHeightThresh / LRS_LOD_Max if self.manhattan_plot == True: if self.color_scheme == "single": @@ -2469,8 +2469,8 @@ class DisplayMappingResults: im_drawer.text( text="5", xy=( - Xc-im_drawer.textsize("5", font=symbolFont)[0]/2+1, - Yc-4), + Xc - im_drawer.textsize("5", font=symbolFont)[0] / 2 + 1, + Yc - 4), fill=point_color, font=symbolFont) else: LRSCoordXY.append((Xc, Yc)) @@ -2478,7 +2478,7 @@ class DisplayMappingResults: if not self.multipleInterval and self.additiveChecked: if additiveMax == 0.0: additiveMax = 0.000001 - Yc = yZero - qtlresult['additive']*AdditiveHeightThresh/additiveMax + Yc = yZero - qtlresult['additive'] * AdditiveHeightThresh / additiveMax AdditiveCoordXY.append((Xc, Yc)) m += 1 @@ -2497,64 +2497,64 @@ class DisplayMappingResults: minusColor = self.ADDITIVE_COLOR_NEGATIVE for k, aPoint in enumerate(AdditiveCoordXY): if k > 0: - Xc0, Yc0 = AdditiveCoordXY[k-1] + Xc0, Yc0 = AdditiveCoordXY[k - 1] Xc, Yc = aPoint - if (Yc0-yZero)*(Yc-yZero) < 0: - if Xc == Xc0: #genotype , locus distance is 0 + if (Yc0 - yZero) * (Yc-yZero) < 0: + if Xc == Xc0: # genotype , locus distance is 0 Xcm = Xc else: - Xcm = (yZero-Yc0)/((Yc-Yc0)/(Xc-Xc0)) +Xc0 + Xcm = (yZero - Yc0) / ((Yc - Yc0) / (Xc - Xc0)) + Xc0 if Yc0 < yZero: im_drawer.line( xy=((Xc0, Yc0), (Xcm, yZero)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) im_drawer.line( - xy=((Xcm, yZero), (Xc, yZero-(Yc-yZero))), + xy=((Xcm, yZero), (Xc, yZero - (Yc - yZero))), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: im_drawer.line( - xy=((Xc0, yZero - (Yc0-yZero)), + xy=((Xc0, yZero - (Yc0 - yZero)), (Xcm, yZero)), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) im_drawer.line( xy=((Xcm, yZero), (Xc, Yc)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) - elif (Yc0-yZero)*(Yc-yZero) > 0: + elif (Yc0 - yZero) * (Yc-yZero) > 0: if Yc < yZero: im_drawer.line( xy=((Xc0, Yc0), (Xc, Yc)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: im_drawer.line( - xy=((Xc0, yZero-(Yc0-yZero)), - (Xc, yZero-(Yc-yZero))), + xy=((Xc0, yZero - (Yc0 - yZero)), + (Xc, yZero - (Yc - yZero))), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: - minYc = min(Yc-yZero, Yc0-yZero) + minYc = min(Yc - yZero, Yc0 - yZero) if minYc < 0: im_drawer.line( xy=((Xc0, Yc0), (Xc, Yc)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: im_drawer.line( - xy=((Xc0, yZero - (Yc0-yZero)), - (Xc, yZero - (Yc-yZero))), + xy=((Xc0, yZero - (Yc0 - yZero)), + (Xc, yZero - (Yc - yZero))), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) if not self.multipleInterval and INTERCROSS and self.dominanceChecked: @@ -2562,114 +2562,114 @@ class DisplayMappingResults: minusColor = self.DOMINANCE_COLOR_NEGATIVE for k, aPoint in enumerate(DominanceCoordXY): if k > 0: - Xc0, Yc0 = DominanceCoordXY[k-1] + Xc0, Yc0 = DominanceCoordXY[k - 1] Xc, Yc = aPoint - if (Yc0-yZero)*(Yc-yZero) < 0: - if Xc == Xc0: #genotype , locus distance is 0 + if (Yc0 - yZero) * (Yc-yZero) < 0: + if Xc == Xc0: # genotype , locus distance is 0 Xcm = Xc else: - Xcm = (yZero-Yc0)/((Yc-Yc0)/(Xc-Xc0)) +Xc0 + Xcm = (yZero - Yc0) / ((Yc - Yc0) / (Xc - Xc0)) + Xc0 if Yc0 < yZero: im_drawer.line( xy=((Xc0, Yc0), (Xcm, yZero)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) im_drawer.line( - xy=((Xcm, yZero), (Xc, yZero-(Yc-yZero))), + xy=((Xcm, yZero), (Xc, yZero - (Yc - yZero))), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: im_drawer.line( - xy=((Xc0, yZero - (Yc0-yZero)), (Xcm, yZero)), + xy=((Xc0, yZero - (Yc0 - yZero)), (Xcm, yZero)), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) im_drawer.line( xy=((Xcm, yZero), (Xc, Yc)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) - elif (Yc0-yZero)*(Yc-yZero) > 0: + elif (Yc0 - yZero) * (Yc-yZero) > 0: if Yc < yZero: im_drawer.line( xy=((Xc0, Yc0), (Xc, Yc)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: im_drawer.line( - xy=((Xc0, yZero - (Yc0-yZero)), - (Xc, yZero - (Yc-yZero))), + xy=((Xc0, yZero - (Yc0 - yZero)), + (Xc, yZero - (Yc - yZero))), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: - minYc = min(Yc-yZero, Yc0-yZero) + minYc = min(Yc - yZero, Yc0 - yZero) if minYc < 0: im_drawer.line( xy=((Xc0, Yc0), (Xc, Yc)), fill=plusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) else: im_drawer.line( - xy=((Xc0, yZero - (Yc0-yZero)), - (Xc, yZero - (Yc-yZero))), fill=minusColor, + xy=((Xc0, yZero - (Yc0 - yZero)), + (Xc, yZero - (Yc - yZero))), fill=minusColor, width=lineWidth - #, clipX=(xLeftOffset, xLeftOffset + plotWidth) + # , clipX=(xLeftOffset, xLeftOffset + plotWidth) ) - ###draw additive scale + # draw additive scale if not self.multipleInterval and self.additiveChecked: - additiveScaleFont=ImageFont.truetype(font=VERDANA_FILE, size=16*zoom) + additiveScaleFont = ImageFont.truetype(font=VERDANA_FILE, size=16 * zoom) additiveScale = Plot.detScaleOld(0, additiveMax) - additiveStep = (additiveScale[1]-additiveScale[0])/additiveScale[2] + additiveStep = (additiveScale[1] - additiveScale[0]) / additiveScale[2] additiveAxisList = Plot.frange(0, additiveScale[1], additiveStep) - addPlotScale = AdditiveHeightThresh/additiveMax + addPlotScale = AdditiveHeightThresh / additiveMax TEXT_Y_DISPLACEMENT = -8 additiveAxisList.append(additiveScale[1]) for item in additiveAxisList: - additiveY = yZero - item*addPlotScale + additiveY = yZero - item * addPlotScale im_drawer.line( xy=((xLeftOffset + plotWidth, additiveY), - (xLeftOffset+4+ plotWidth, additiveY)), - fill=self.ADDITIVE_COLOR_POSITIVE, width=1*zoom) + (xLeftOffset + 4 + plotWidth, additiveY)), + fill=self.ADDITIVE_COLOR_POSITIVE, width=1 * zoom) scaleStr = "%2.3f" % item im_drawer.text( text=scaleStr, - xy=(xLeftOffset + plotWidth +6, additiveY+TEXT_Y_DISPLACEMENT), + xy= (xLeftOffset + plotWidth + 6, additiveY + TEXT_Y_DISPLACEMENT), font=additiveScaleFont, fill=self.ADDITIVE_COLOR_POSITIVE) im_drawer.line( - xy=((xLeftOffset+plotWidth, additiveY), - (xLeftOffset+plotWidth, yZero)), - fill=self.ADDITIVE_COLOR_POSITIVE, width=1*zoom) + xy=((xLeftOffset + plotWidth, additiveY), + (xLeftOffset + plotWidth, yZero)), + fill=self.ADDITIVE_COLOR_POSITIVE, width=1 * zoom) im_drawer.line( - xy=((xLeftOffset, yZero), (xLeftOffset, yTopOffset + 30*(zoom - 1))), - fill=self.LRS_COLOR, width=1*zoom) #the blue line running up the y axis + xy=((xLeftOffset, yZero), (xLeftOffset, yTopOffset + 30 * (zoom - 1))), + fill=self.LRS_COLOR, width=1 * zoom) # the blue line running up the y axis - def drawGraphBackground(self, canvas, gifmap, offset= (80, 120, 80, 50), zoom = 1, startMb = None, endMb = None): - ##conditions - ##multiple Chromosome view - ##single Chromosome Physical - ##single Chromosome Genetic + def drawGraphBackground(self, canvas, gifmap, offset=(80, 120, 80, 50), zoom=1, startMb= None, endMb = None): + # conditions + # multiple Chromosome view + # single Chromosome Physical + # single Chromosome Genetic im_drawer = ImageDraw.Draw(canvas) xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset plotWidth = canvas.size[0] - xLeftOffset - xRightOffset plotHeight = canvas.size[1] - yTopOffset - yBottomOffset - yBottom = yTopOffset+plotHeight + yBottom = yTopOffset + plotHeight fontZoom = zoom if zoom == 2: fontZoom = 1.5 yTopOffset += 30 - #calculate plot scale + # calculate plot scale if self.plotScale != 'physic': self.ChrLengthDistList = self.ChrLengthCMList drawRegionDistance = self.ChrLengthCMSum @@ -2677,10 +2677,10 @@ class DisplayMappingResults: self.ChrLengthDistList = self.ChrLengthMbList drawRegionDistance = self.ChrLengthMbSum - if self.selectedChr > -1: #single chromosome view - spacingAmt = plotWidth/13.5 + if self.selectedChr > -1: # single chromosome view + spacingAmt = plotWidth / 13.5 i = 0 - for startPix in Plot.frange(xLeftOffset, xLeftOffset+plotWidth, spacingAmt): + for startPix in Plot.frange(xLeftOffset, xLeftOffset + plotWidth, spacingAmt): if (i % 2 == 0): theBackColor = self.GRAPH_BACK_DARK_COLOR else: @@ -2688,25 +2688,25 @@ class DisplayMappingResults: i += 1 im_drawer.rectangle( [(startPix, yTopOffset), - (min(startPix+spacingAmt, xLeftOffset+plotWidth), yBottom)], + (min(startPix + spacingAmt, xLeftOffset + plotWidth), yBottom)], outline=theBackColor, fill=theBackColor) drawRegionDistance = self.ChrLengthDistList[self.ChrList[self.selectedChr][1]] self.ChrLengthDistList = [drawRegionDistance] if self.plotScale == 'physic': - plotXScale = plotWidth / (endMb-startMb) + plotXScale = plotWidth / (endMb - startMb) else: plotXScale = plotWidth / drawRegionDistance - else: #multiple chromosome view - plotXScale = plotWidth / ((len(self.genotype)-1)*self.GraphInterval + drawRegionDistance) + else: # multiple chromosome view + plotXScale = plotWidth / ((len(self.genotype) - 1) * self.GraphInterval + drawRegionDistance) startPosX = xLeftOffset if fontZoom == 1.5: chrFontZoom = 2 else: chrFontZoom = 1 - chrLabelFont=ImageFont.truetype(font=VERDANA_FILE, size=24*chrFontZoom) + chrLabelFont = ImageFont.truetype(font=VERDANA_FILE, size=24 * chrFontZoom) for i, _chr in enumerate(self.genotype): if (i % 2 == 0): @@ -2714,23 +2714,23 @@ class DisplayMappingResults: else: theBackColor = self.GRAPH_BACK_LIGHT_COLOR - #draw the shaded boxes and the sig/sug thick lines + # draw the shaded boxes and the sig/sug thick lines im_drawer.rectangle( ((startPosX, yTopOffset), - (startPosX + self.ChrLengthDistList[i]*plotXScale, yBottom)), + (startPosX + self.ChrLengthDistList[i] * plotXScale, yBottom)), outline=GAINSBORO, fill=theBackColor) chrNameWidth, chrNameHeight = im_drawer.textsize(_chr.name, font=chrLabelFont) - chrStartPix = startPosX + (self.ChrLengthDistList[i]*plotXScale -chrNameWidth)/2 - chrEndPix = startPosX + (self.ChrLengthDistList[i]*plotXScale +chrNameWidth)/2 + chrStartPix = startPosX + (self.ChrLengthDistList[i] * plotXScale - chrNameWidth) / 2 + chrEndPix = startPosX + (self.ChrLengthDistList[i] * plotXScale + chrNameWidth) / 2 TEXT_Y_DISPLACEMENT = 0 im_drawer.text(xy=(chrStartPix, yTopOffset + TEXT_Y_DISPLACEMENT), text=_chr.name, font=chrLabelFont, fill=BLACK) - COORDS = "%d,%d,%d,%d" %(chrStartPix, yTopOffset, chrEndPix, yTopOffset +20) + COORDS = "%d,%d,%d,%d" % (chrStartPix, yTopOffset, chrEndPix, yTopOffset + 20) - #add by NL 09-03-2010 + # add by NL 09-03-2010 HREF = "javascript:chrView(%d,%s);" % (i, self.ChrLengthMbList) #HREF = "javascript:changeView(%d,%s);" % (i,self.ChrLengthMbList) Areas = HtmlGenWrapper.create_area_tag( @@ -2738,7 +2738,7 @@ class DisplayMappingResults: coords=COORDS, href=HREF) gifmap.append(Areas) - startPosX += (self.ChrLengthDistList[i]+self.GraphInterval)*plotXScale + startPosX += (self.ChrLengthDistList[i] + self.GraphInterval) * plotXScale return plotXScale @@ -2748,15 +2748,15 @@ class DisplayMappingResults: ######################################### myCanvas = Image.new("RGBA", size=(500, 300)) if 'lod_score' in self.qtlresults[0] and self.LRS_LOD == "LRS": - perm_output = [value*4.61 for value in self.perm_output] + perm_output = [value * 4.61 for value in self.perm_output] elif 'lod_score' not in self.qtlresults[0] and self.LRS_LOD == "LOD": - perm_output = [value/4.61 for value in self.perm_output] + perm_output = [value / 4.61 for value in self.perm_output] else: perm_output = self.perm_output - filename= webqtlUtil.genRandStr("Reg_") + filename = webqtlUtil.genRandStr("Reg_") Plot.plotBar(myCanvas, perm_output, XLabel=self.LRS_LOD, YLabel='Frequency', title=' Histogram of Permutation Test') - myCanvas.save("{}.gif".format(GENERATED_IMAGE_DIR+filename), + myCanvas.save("{}.gif".format(GENERATED_IMAGE_DIR + filename), format='gif') return filename @@ -2821,18 +2821,18 @@ class DisplayMappingResults: tableIterationsCnt = tableIterationsCnt + 1 - this_row = [] #container for the cells of each row + this_row = [] # container for the cells of each row selectCheck = HtmlGenWrapper.create_input_tag( type_="checkbox", name="selectCheck", value=theGO["GeneSymbol"], Class="checkbox trait_checkbox") # checkbox for each row - geneLength = (theGO["TxEnd"] - theGO["TxStart"])*1000.0 - tenPercentLength = geneLength*0.0001 + geneLength = (theGO["TxEnd"] - theGO["TxStart"]) * 1000.0 + tenPercentLength = geneLength * 0.0001 txStart = theGO["TxStart"] txEnd = theGO["TxEnd"] - theGO["snpDensity"] = theGO["snpCount"]/geneLength + theGO["snpDensity"] = theGO["snpCount"] / geneLength if self.ALEX_DEBUG_BOOL_PRINT_GENE_LIST: geneIdString = 'http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=Retrieve&dopt=Graphics&list_uids=%s' % theGO["GeneID"] @@ -2844,16 +2844,16 @@ class DisplayMappingResults: f"end={theGO['TxEnd']}&" f"geneName={theGO['GeneSymbol']}&" f"s1={self.diffCol[0]}&s2=%d"), - str(theGO["snpCount"]) # The text to display + str(theGO["snpCount"]) # The text to display ) snpString.set_blank_target() snpString.set_attribute("class", "normalsize") else: snpString = 0 - mouseStartString = "http://genome.ucsc.edu/cgi-bin/hgTracks?clade=vertebrate&org=Mouse&db=mm9&position=chr" + theGO["Chromosome"] + "%3A" + str(int(theGO["TxStart"] * 1000000.0)) + "-" + str(int(theGO["TxEnd"]*1000000.0)) +"&pix=620&Submit=submit" + mouseStartString = "http://genome.ucsc.edu/cgi-bin/hgTracks?clade=vertebrate&org=Mouse&db=mm9&position=chr" + theGO["Chromosome"] + "%3A" + str(int(theGO["TxStart"] * 1000000.0)) + "-" + str(int(theGO["TxEnd"] * 1000000.0)) + "&pix=620&Submit=submit" - #the chromosomes for human 1 are 1qXX.XX + # the chromosomes for human 1 are 1qXX.XX if theGO['humanGene']: if theGO['humanGene']["TxStart"] == '': humanStartDisplay = "" @@ -2863,20 +2863,20 @@ class DisplayMappingResults: humanChr = theGO['humanGene']["Chromosome"] humanTxStart = theGO['humanGene']["TxStart"] - humanStartString = "http://genome.ucsc.edu/cgi-bin/hgTracks?clade=vertebrate&org=Human&db=hg17&position=chr%s:%d-%d" % (humanChr, int(1000000*theGO['humanGene']["TxStart"]), int(1000000*theGO['humanGene']["TxEnd"])) + humanStartString = "http://genome.ucsc.edu/cgi-bin/hgTracks?clade=vertebrate&org=Human&db=hg17&position=chr%s:%d-%d" % (humanChr, int(1000000 * theGO['humanGene']["TxStart"]), int(1000000 * theGO['humanGene']["TxEnd"])) else: humanStartString = humanChr = humanStartDisplay = "--" geneDescription = theGO["GeneDescription"] if len(geneDescription) > 70: - geneDescription = geneDescription[:70]+"..." + geneDescription = geneDescription[:70] + "..." if theGO["snpDensity"] < 0.000001: snpDensityStr = "0" else: snpDensityStr = "%0.6f" % theGO["snpDensity"] - avgExpr = [] #theGO["avgExprVal"] + avgExpr = [] # theGO["avgExprVal"] if avgExpr in ([], None): avgExpr = "--" else: @@ -2905,8 +2905,8 @@ class DisplayMappingResults: str(HtmlGenWrapper.create_link_tag( "javascript:rangeView('{}', {:f}, {:f})".format( str(chr_as_int), - txStart-tenPercentLength, - txEnd+tenPercentLength), + txStart - tenPercentLength, + txEnd + tenPercentLength), "{:.3f}".format(geneLength))), snpString, snpDensityStr, @@ -2931,8 +2931,8 @@ class DisplayMappingResults: str(HtmlGenWrapper.create_link_tag( "javascript:rangeView('{}', {:f}, {:f})".format( str(chr_as_int), - txStart-tenPercentLength, - txEnd+tenPercentLength), + txStart - tenPercentLength, + txEnd + tenPercentLength), "{:.3f}".format(geneLength))), snpString, snpDensityStr, @@ -2969,7 +2969,7 @@ class DisplayMappingResults: chr_as_int = int(theGO["Chromosome"]) - 1 geneLength = (float(theGO["TxEnd"]) - float(theGO["TxStart"])) - geneLengthURL = "javascript:rangeView('%s', %f, %f)" % (theGO["Chromosome"], float(theGO["TxStart"])-(geneLength*0.1), float(theGO["TxEnd"])+(geneLength*0.1)) + geneLengthURL = "javascript:rangeView('%s', %f, %f)" % (theGO["Chromosome"], float(theGO["TxStart"]) - (geneLength * 0.1), float(theGO["TxEnd"]) + (geneLength * 0.1)) avgExprVal = [] if avgExprVal != "" and avgExprVal: @@ -2977,14 +2977,14 @@ class DisplayMappingResults: else: avgExprVal = "" - #Mouse Gene + # Mouse Gene if theGO['mouseGene']: mouseChr = theGO['mouseGene']["Chromosome"] mouseTxStart = "%0.6f" % theGO['mouseGene']["TxStart"] else: mouseChr = mouseTxStart = "" - #the chromosomes for human 1 are 1qXX.XX + # the chromosomes for human 1 are 1qXX.XX if theGO['humanGene']: humanChr = theGO['humanGene']["Chromosome"] humanTxStart = "%0.6f" % theGO['humanGene']["TxStart"] @@ -2996,12 +2996,12 @@ class DisplayMappingResults: geneDesc = "" this_row = [selectCheck.__str__(), - str(gIndex+1), + str(gIndex + 1), geneSymbolNCBI, "%0.6f" % theGO["TxStart"], str(HtmlGenWrapper.create_link_tag( geneLengthURL, - "{:.3f}".format(geneLength*1000.0))), + "{:.3f}".format(geneLength * 1000.0))), avgExprVal, mouseChr, mouseTxStart, @@ -3013,7 +3013,7 @@ class DisplayMappingResults: return gene_table_body - def getLiteratureCorrelation(cursor,geneId1=None,geneId2=None): + def getLiteratureCorrelation(cursor, geneId1=None, geneId2=None): if not geneId1 or not geneId2: return None if geneId1 == geneId2: @@ -3025,9 +3025,9 @@ class DisplayMappingResults: query = 'SELECT Value FROM LCorrRamin3 WHERE GeneId1 = %s and GeneId2 = %s' for x, y in [(geneId1, geneId2), (geneId2, geneId1)]: cursor.execute(query, (x, y)) - lCorr = cursor.fetchone() + lCorr = cursor.fetchone() if lCorr: lCorr = lCorr[0] break - except: raise #lCorr = None + except: raise # lCorr = None return lCorr diff --git a/wqflask/wqflask/marker_regression/gemma_mapping.py b/wqflask/wqflask/marker_regression/gemma_mapping.py index 06c9300a..68689104 100644 --- a/wqflask/wqflask/marker_regression/gemma_mapping.py +++ b/wqflask/wqflask/marker_regression/gemma_mapping.py @@ -149,7 +149,7 @@ def gen_covariates_file(this_dataset, covariates, samples): dataset_name = covariate.split(":")[1] if dataset_name == "Temp": temp_group = trait_name.split("_")[2] - dataset_ob = create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = temp_group) + dataset_ob = create_dataset(dataset_name="Temp", dataset_type="Temp", group_name = temp_group) else: dataset_ob = create_dataset(covariate.split(":")[1]) trait_ob = create_trait(dataset=dataset_ob, diff --git a/wqflask/wqflask/marker_regression/plink_mapping.py b/wqflask/wqflask/marker_regression/plink_mapping.py index 5d675c38..e6c78536 100644 --- a/wqflask/wqflask/marker_regression/plink_mapping.py +++ b/wqflask/wqflask/marker_regression/plink_mapping.py @@ -6,7 +6,7 @@ from utility import webqtlUtil from utility.tools import flat_files, PLINK_COMMAND import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) def run_plink(this_trait, dataset, species, vals, maf): plink_output_filename = webqtlUtil.genRandStr(f"{dataset.group.name}_{this_trait.name}_") @@ -34,7 +34,7 @@ def gen_pheno_txt_file(this_dataset, vals): split_line = line.split() current_file_data.append(split_line) - with open(f"{flat_files('mapping')}/{this_dataset.group.name}.fam","w") as outfile: + with open(f"{flat_files('mapping')}/{this_dataset.group.name}.fam", "w") as outfile: for i, line in enumerate(current_file_data): if vals[i] == "x": this_val = -9 @@ -42,7 +42,7 @@ def gen_pheno_txt_file(this_dataset, vals): this_val = vals[i] outfile.write("0 " + line[1] + " " + line[2] + " " + line[3] + " " + line[4] + " " + str(this_val) + "\n") -def gen_pheno_txt_file_plink(this_trait, dataset, vals, pheno_filename = ''): +def gen_pheno_txt_file_plink(this_trait, dataset, vals, pheno_filename=''): ped_sample_list = get_samples_from_ped_file(dataset) output_file = open(f"{TMPDIR}{pheno_filename}.txt", "wb") header = f"FID\tIID\t{this_trait.name}\n" @@ -50,7 +50,7 @@ def gen_pheno_txt_file_plink(this_trait, dataset, vals, pheno_filename = ''): new_value_list = [] - #if valueDict does not include some strain, value will be set to -9999 as missing value + # if valueDict does not include some strain, value will be set to -9999 as missing value for i, sample in enumerate(ped_sample_list): try: value = vals[i] @@ -63,11 +63,11 @@ def gen_pheno_txt_file_plink(this_trait, dataset, vals, pheno_filename = ''): new_line = '' for i, sample in enumerate(ped_sample_list): - j = i+1 + j = i + 1 value = new_value_list[i] new_line += f"{sample}\t{sample}\t{value}\n" - if j%1000 == 0: + if j % 1000 == 0: output_file.write(newLine) new_line = '' @@ -78,9 +78,9 @@ def gen_pheno_txt_file_plink(this_trait, dataset, vals, pheno_filename = ''): # get strain name from ped file in order def get_samples_from_ped_file(dataset): - ped_file= open(f"{flat_files('mapping')}{dataset.group.name}.ped","r") + ped_file = open(f"{flat_files('mapping')}{dataset.group.name}.ped", "r") line = ped_file.readline() - sample_list=[] + sample_list = [] while line: lineList = line.strip().split('\t') @@ -94,24 +94,24 @@ def get_samples_from_ped_file(dataset): return sample_list def parse_plink_output(output_filename, species): - plink_results={} + plink_results = {} threshold_p_value = 1 - result_fp = open(f"{TMPDIR}{output_filename}.qassoc","rb") + result_fp = open(f"{TMPDIR}{output_filename}.qassoc", "rb") line = result_fp.readline() - value_list = [] # initialize value list, this list will include snp, bp and pvalue info + value_list = [] # initialize value list, this list will include snp, bp and pvalue info p_value_dict = {} count = 0 while line: - #convert line from str to list + # convert line from str to list line_list = build_line_list(line=line) # only keep the records whose chromosome name is in db - if int(line_list[0]) in species.chromosomes.chromosomes and line_list[-1] and line_list[-1].strip()!='NA': + if int(line_list[0]) in species.chromosomes.chromosomes and line_list[-1] and line_list[-1].strip() != 'NA': chr_name = species.chromosomes.chromosomes[int(line_list[0])] snp = line_list[1] @@ -125,7 +125,7 @@ def parse_plink_output(output_filename, species): value_list = plink_results[chr_name] # pvalue range is [0,1] - if threshold_p_value >=0 and threshold_p_value <= 1: + if threshold_p_value >= 0 and threshold_p_value <= 1: if p_value < threshold_p_value: value_list.append((snp, BP, p_value)) count += 1 @@ -141,7 +141,7 @@ def parse_plink_output(output_filename, species): if value_list: plink_results[chr_name] = value_list - value_list=[] + value_list = [] line = result_fp.readline() else: @@ -155,8 +155,8 @@ def parse_plink_output(output_filename, species): # output: lineList list ####################################################### def build_line_list(line=""): - line_list = line.strip().split(' ')# irregular number of whitespaces between columns - line_list = [item for item in line_list if item !=''] + line_list = line.strip().split(' ') # irregular number of whitespaces between columns + line_list = [item for item in line_list if item != ''] line_list = [item.strip() for item in line_list] return line_list diff --git a/wqflask/wqflask/marker_regression/qtlreaper_mapping.py b/wqflask/wqflask/marker_regression/qtlreaper_mapping.py index 8341ee55..dd044cb0 100644 --- a/wqflask/wqflask/marker_regression/qtlreaper_mapping.py +++ b/wqflask/wqflask/marker_regression/qtlreaper_mapping.py @@ -6,7 +6,7 @@ from base.data_set import create_dataset from utility.tools import flat_files, REAPER_COMMAND, TEMPDIR import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) def run_reaper(this_trait, this_dataset, samples, vals, json_data, num_perm, boot_check, num_bootstrap, do_control, control_marker, manhattan_plot, first_run=True, output_files=None): """Generates p-values for each marker using qtlreaper""" @@ -17,10 +17,10 @@ def run_reaper(this_trait, this_dataset, samples, vals, json_data, num_perm, boo else: genofile_name = this_dataset.group.name - trait_filename =f"{str(this_trait.name)}_{str(this_dataset.name)}_pheno" + trait_filename = f"{str(this_trait.name)}_{str(this_dataset.name)}_pheno" gen_pheno_txt_file(samples, vals, trait_filename) - output_filename = (f"{this_dataset.group.name}_GWA_"+ + output_filename = (f"{this_dataset.group.name}_GWA_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) ) bootstrap_filename = None @@ -36,7 +36,7 @@ def run_reaper(this_trait, this_dataset, samples, vals, json_data, num_perm, boo opt_list.append(f"--n_bootstrap {str(num_bootstrap)}") opt_list.append(f"--bootstrap_output {webqtlConfig.GENERATED_IMAGE_DIR}{bootstrap_filename}.txt") if num_perm > 0: - permu_filename =("{this_dataset.group.name}_PERM_" + + permu_filename = ("{this_dataset.group.name}_PERM_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) ) @@ -67,8 +67,8 @@ def run_reaper(this_trait, this_dataset, samples, vals, json_data, num_perm, boo suggestive = 0 significant = 0 if len(permu_vals) > 0: - suggestive = permu_vals[int(num_perm*0.37-1)] - significant = permu_vals[int(num_perm*0.95-1)] + suggestive = permu_vals[int(num_perm * 0.37 - 1)] + significant = permu_vals[int(num_perm * 0.95 - 1)] return (marker_obs, permu_vals, suggestive, significant, bootstrap_vals, [output_filename, permu_filename, bootstrap_filename]) @@ -76,7 +76,7 @@ def run_reaper(this_trait, this_dataset, samples, vals, json_data, num_perm, boo def gen_pheno_txt_file(samples, vals, trait_filename): """Generates phenotype file for GEMMA""" - with open(f"{TEMPDIR}/gn2/{trait_filename}.txt","w") as outfile: + with open(f"{TEMPDIR}/gn2/{trait_filename}.txt", "w") as outfile: outfile.write("Trait\t") filtered_sample_list = [] @@ -121,7 +121,7 @@ def parse_reaper_output(gwa_filename, permu_filename, bootstrap_filename): marker['cM'] = float(line.split("\t")[3]) else: if float(line.split("\t")[3]) > 1000: - marker['Mb'] = float(line.split("\t")[3])/1000000 + marker['Mb'] = float(line.split("\t")[3]) / 1000000 else: marker['Mb'] = float(line.split("\t")[3]) if float(line.split("\t")[6]) != 1: @@ -132,7 +132,7 @@ def parse_reaper_output(gwa_filename, permu_filename, bootstrap_filename): else: marker['cM'] = float(line.split("\t")[3]) if float(line.split("\t")[4]) > 1000: - marker['Mb'] = float(line.split("\t")[4])/1000000 + marker['Mb'] = float(line.split("\t")[4]) / 1000000 else: marker['Mb'] = float(line.split("\t")[4]) if float(line.split("\t")[7]) != 1: @@ -142,7 +142,7 @@ def parse_reaper_output(gwa_filename, permu_filename, bootstrap_filename): marker['additive'] = float(line.split("\t")[6]) marker_obs.append(marker) - #ZS: Results have to be reordered because the new reaper returns results sorted alphabetically by chr for some reason, resulting in chr 1 being followed by 10, etc + # ZS: Results have to be reordered because the new reaper returns results sorted alphabetically by chr for some reason, resulting in chr 1 being followed by 10, etc sorted_indices = natural_sort(marker_obs) permu_vals = [] @@ -185,18 +185,18 @@ def run_original_reaper(this_trait, dataset, samples_before, trait_vals, json_da suggestive = 0 significant = 0 else: - perm_output = genotype.permutation(strains = trimmed_samples, trait = trimmed_values, nperm=num_perm) - suggestive = perm_output[int(num_perm*0.37-1)] - significant = perm_output[int(num_perm*0.95-1)] - #highly_significant = perm_output[int(num_perm*0.99-1)] #ZS: Currently not used, but leaving it here just in case + perm_output = genotype.permutation(strains=trimmed_samples, trait=trimmed_values, nperm=num_perm) + suggestive = perm_output[int(num_perm * 0.37 - 1)] + significant = perm_output[int(num_perm * 0.95 - 1)] + # highly_significant = perm_output[int(num_perm*0.99-1)] #ZS: Currently not used, but leaving it here just in case json_data['suggestive'] = suggestive json_data['significant'] = significant if control_marker != "" and do_control == "true": - reaper_results = genotype.regression(strains = trimmed_samples, - trait = trimmed_values, - control = str(control_marker)) + reaper_results = genotype.regression(strains=trimmed_samples, + trait=trimmed_values, + control=str(control_marker)) if bootCheck: control_geno = [] control_geno2 = [] @@ -215,31 +215,31 @@ def run_original_reaper(this_trait, dataset, samples_before, trait_vals, json_da _idx = _prgy.index(_strain) control_geno.append(control_geno2[_idx]) - bootstrap_results = genotype.bootstrap(strains = trimmed_samples, - trait = trimmed_values, - control = control_geno, - nboot = num_bootstrap) + bootstrap_results = genotype.bootstrap(strains=trimmed_samples, + trait=trimmed_values, + control=control_geno, + nboot=num_bootstrap) else: - reaper_results = genotype.regression(strains = trimmed_samples, - trait = trimmed_values) + reaper_results = genotype.regression(strains=trimmed_samples, + trait=trimmed_values) if bootCheck: - bootstrap_results = genotype.bootstrap(strains = trimmed_samples, - trait = trimmed_values, - nboot = num_bootstrap) + bootstrap_results = genotype.bootstrap(strains=trimmed_samples, + trait=trimmed_values, + nboot=num_bootstrap) json_data['chr'] = [] json_data['pos'] = [] json_data['lod.hk'] = [] json_data['markernames'] = [] - #if self.additive: + # if self.additive: # self.json_data['additive'] = [] - #Need to convert the QTL objects that qtl reaper returns into a json serializable dictionary + # Need to convert the QTL objects that qtl reaper returns into a json serializable dictionary qtl_results = [] for qtl in reaper_results: reaper_locus = qtl.locus - #ZS: Convert chr to int + # ZS: Convert chr to int converted_chr = reaper_locus.chr if reaper_locus.chr != "X" and reaper_locus.chr != "X/Y": converted_chr = int(reaper_locus.chr) @@ -247,11 +247,11 @@ def run_original_reaper(this_trait, dataset, samples_before, trait_vals, json_da json_data['pos'].append(reaper_locus.Mb) json_data['lod.hk'].append(qtl.lrs) json_data['markernames'].append(reaper_locus.name) - #if self.additive: + # if self.additive: # self.json_data['additive'].append(qtl.additive) - locus = {"name":reaper_locus.name, "chr":reaper_locus.chr, "cM":reaper_locus.cM, "Mb":reaper_locus.Mb} - qtl = {"lrs_value": qtl.lrs, "chr":converted_chr, "Mb":reaper_locus.Mb, - "cM":reaper_locus.cM, "name":reaper_locus.name, "additive":qtl.additive, "dominance":qtl.dominance} + locus = {"name": reaper_locus.name, "chr": reaper_locus.chr, "cM": reaper_locus.cM, "Mb": reaper_locus.Mb} + qtl = {"lrs_value": qtl.lrs, "chr": converted_chr, "Mb": reaper_locus.Mb, + "cM": reaper_locus.cM, "name": reaper_locus.name, "additive": qtl.additive, "dominance": qtl.dominance} qtl_results.append(qtl) return qtl_results, json_data, perm_output, suggestive, significant, bootstrap_results @@ -261,5 +261,5 @@ def natural_sort(marker_list): Changed to return indices instead of values, though, since the same reordering needs to be applied to bootstrap results """ convert = lambda text: int(text) if text.isdigit() else text.lower() - alphanum_key = lambda key: [ convert(c) for c in re.split('([0-9]+)', str(marker_list[key]['chr'])) ] - return sorted(list(range(len(marker_list))), key = alphanum_key)
\ No newline at end of file + alphanum_key = lambda key: [convert(c) for c in re.split('([0-9]+)', str(marker_list[key]['chr']))] + return sorted(list(range(len(marker_list))), key=alphanum_key) diff --git a/wqflask/wqflask/marker_regression/rqtl_mapping.py b/wqflask/wqflask/marker_regression/rqtl_mapping.py index 4117a0e5..2bd94512 100644 --- a/wqflask/wqflask/marker_regression/rqtl_mapping.py +++ b/wqflask/wqflask/marker_regression/rqtl_mapping.py @@ -13,7 +13,7 @@ from utility.tools import locate, TEMPDIR from flask import g import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) # Get a trait's type (numeric, categorical, etc) from the DB def get_trait_data_type(trait_db_string): @@ -35,29 +35,29 @@ def get_trait_data_type(trait_db_string): # Run qtl mapping using R/qtl def run_rqtl_geno(vals, samples, dataset, mapping_scale, method, model, permCheck, num_perm, perm_strata_list, do_control, control_marker, manhattan_plot, pair_scan, cofactors): logger.info("Start run_rqtl_geno"); - ## Get pointers to some common R functions - r_library = ro.r["library"] # Map the library function - r_c = ro.r["c"] # Map the c function - plot = ro.r["plot"] # Map the plot function - png = ro.r["png"] # Map the png function - dev_off = ro.r["dev.off"] # Map the device off function + # Get pointers to some common R functions + r_library = ro.r["library"] # Map the library function + r_c = ro.r["c"] # Map the c function + plot = ro.r["plot"] # Map the plot function + png = ro.r["png"] # Map the png function + dev_off = ro.r["dev.off"] # Map the device off function print((r_library("qtl"))) # Load R/qtl logger.info("QTL library loaded"); - ## Get pointers to some R/qtl functions - scanone = ro.r["scanone"] # Map the scanone function - scantwo = ro.r["scantwo"] # Map the scantwo function - calc_genoprob = ro.r["calc.genoprob"] # Map the calc.genoprob function + # Get pointers to some R/qtl functions + scanone = ro.r["scanone"] # Map the scanone function + scantwo = ro.r["scantwo"] # Map the scantwo function + calc_genoprob = ro.r["calc.genoprob"] # Map the calc.genoprob function crossname = dataset.group.name - #try: + # try: # generate_cross_from_rdata(dataset) # read_cross_from_rdata = ro.r["generate_cross_from_rdata"] # Map the local read_cross_from_rdata function # genofilelocation = locate(crossname + ".RData", "genotype/rdata") # cross_object = read_cross_from_rdata(genofilelocation) # Map the local GENOtoCSVR function - #except: + # except: if mapping_scale == "morgan": scale_units = "cM" @@ -65,10 +65,10 @@ def run_rqtl_geno(vals, samples, dataset, mapping_scale, method, model, permChec scale_units = "Mb" generate_cross_from_geno(dataset, scale_units) - GENOtoCSVR = ro.r["GENOtoCSVR"] # Map the local GENOtoCSVR function + GENOtoCSVR = ro.r["GENOtoCSVR"] # Map the local GENOtoCSVR function crossfilelocation = TMPDIR + crossname + ".cross" if dataset.group.genofile: - genofilelocation = locate(dataset.group.genofile, "genotype") + genofilelocation = locate(dataset.group.genofile, "genotype") else: genofilelocation = locate(dataset.group.name + ".geno", "genotype") logger.info("Going to create a cross from geno"); @@ -95,38 +95,38 @@ def run_rqtl_geno(vals, samples, dataset, mapping_scale, method, model, permChec else: ro.r('all_covars <- marker_covars') covars = ro.r['all_covars'] - #DEBUG to save the session object to file + # DEBUG to save the session object to file if pair_scan: if do_control == "true": - logger.info("Using covariate"); result_data_frame = scantwo(cross_object, pheno = "the_pheno", addcovar = covars, model=model, method=method, n_cluster = 16) + logger.info("Using covariate"); result_data_frame = scantwo(cross_object, pheno="the_pheno", addcovar=covars, model=model, method=method, n_cluster = 16) else: - logger.info("No covariates"); result_data_frame = scantwo(cross_object, pheno = "the_pheno", model=model, method=method, n_cluster = 16) + logger.info("No covariates"); result_data_frame = scantwo(cross_object, pheno="the_pheno", model=model, method=method, n_cluster=16) pair_scan_filename = webqtlUtil.genRandStr("scantwo_") + ".png" - png(file=TEMPDIR+pair_scan_filename) + png(file=TEMPDIR + pair_scan_filename) plot(result_data_frame) dev_off() return process_pair_scan_results(result_data_frame) else: if do_control == "true" or cofactors != "": - logger.info("Using covariate"); result_data_frame = scanone(cross_object, pheno = "the_pheno", addcovar = covars, model=model, method=method) + logger.info("Using covariate"); result_data_frame = scanone(cross_object, pheno="the_pheno", addcovar=covars, model=model, method=method) ro.r('save.image(file = "/home/zas1024/gn2-zach/itp_cofactor_test.RData")') else: - logger.info("No covariates"); result_data_frame = scanone(cross_object, pheno = "the_pheno", model=model, method=method) + logger.info("No covariates"); result_data_frame = scanone(cross_object, pheno="the_pheno", model=model, method=method) if num_perm > 0 and permCheck == "ON": # Do permutation (if requested by user) - if len(perm_strata_list) > 0: #ZS: The strata list would only be populated if "Stratified" was checked on before mapping + if len(perm_strata_list) > 0: # ZS: The strata list would only be populated if "Stratified" was checked on before mapping cross_object, strata_ob = add_perm_strata(cross_object, perm_strata_list) if do_control == "true" or cofactors != "": - perm_data_frame = scanone(cross_object, pheno_col = "the_pheno", addcovar = covars, n_perm = int(num_perm), perm_strata = strata_ob, model=model, method=method) + perm_data_frame = scanone(cross_object, pheno_col="the_pheno", addcovar=covars, n_perm = int(num_perm), perm_strata = strata_ob, model=model, method=method) else: - perm_data_frame = scanone(cross_object, pheno_col = "the_pheno", n_perm = num_perm, perm_strata = strata_ob, model=model, method=method) + perm_data_frame = scanone(cross_object, pheno_col="the_pheno", n_perm=num_perm, perm_strata = strata_ob, model=model, method=method) else: if do_control == "true" or cofactors != "": - perm_data_frame = scanone(cross_object, pheno_col = "the_pheno", addcovar = covars, n_perm = int(num_perm), model=model, method=method) + perm_data_frame = scanone(cross_object, pheno_col="the_pheno", addcovar=covars, n_perm = int(num_perm), model=model, method=method) else: - perm_data_frame = scanone(cross_object, pheno_col = "the_pheno", n_perm = num_perm, model=model, method=method) + perm_data_frame = scanone(cross_object, pheno_col="the_pheno", n_perm=num_perm, model=model, method=method) perm_output, suggestive, significant = process_rqtl_perm_results(num_perm, perm_data_frame) # Functions that sets the thresholds for the webinterface return perm_output, suggestive, significant, process_rqtl_results(result_data_frame, dataset.group.species) @@ -134,7 +134,7 @@ def run_rqtl_geno(vals, samples, dataset, mapping_scale, method, model, permChec return process_rqtl_results(result_data_frame, dataset.group.species) def generate_cross_from_rdata(dataset): - rdata_location = locate(dataset.group.name + ".RData", "genotype/rdata") + rdata_location = locate(dataset.group.name + ".RData", "genotype/rdata") ro.r(""" generate_cross_from_rdata <- function(filename = '%s') { load(file=filename) @@ -206,7 +206,7 @@ def sanitize_rqtl_phenotype(vals): for i, val in enumerate(vals): if val == "x": if i < (len(vals) - 1): - pheno_as_string += "NA," + pheno_as_string += "NA," else: pheno_as_string += "NA" else: @@ -223,7 +223,7 @@ def sanitize_rqtl_names(vals): for i, val in enumerate(vals): if val == "x": if i < (len(vals) - 1): - pheno_as_string += "NA," + pheno_as_string += "NA," else: pheno_as_string += "NA" else: @@ -238,7 +238,7 @@ def sanitize_rqtl_names(vals): def add_phenotype(cross, pheno_as_string, col_name): ro.globalenv["the_cross"] = cross ro.r('pheno <- data.frame(pull.pheno(the_cross))') - ro.r('the_cross$pheno <- cbind(pheno, ' + col_name + ' = as.numeric('+ pheno_as_string +'))') + ro.r('the_cross$pheno <- cbind(pheno, ' + col_name + ' = as.numeric(' + pheno_as_string + '))') return ro.r["the_cross"] def add_categorical_covar(cross, covar_as_string, i): @@ -256,8 +256,8 @@ def add_categorical_covar(cross, covar_as_string, i): nCol = int(nCol[0]) logger.info("nCol python int:" + str(nCol)); col_names = [] - #logger.info("loop") - for x in range(1, (nCol+1)): + # logger.info("loop") + for x in range(1, (nCol + 1)): #logger.info("loop" + str(x)); col_name = "covar_" + str(i) + "_" + str(x) #logger.info("col_name" + col_name); @@ -272,12 +272,12 @@ def add_categorical_covar(cross, covar_as_string, i): def add_names(cross, names_as_string, col_name): ro.globalenv["the_cross"] = cross ro.r('pheno <- data.frame(pull.pheno(the_cross))') - ro.r('the_cross$pheno <- cbind(pheno, ' + col_name + ' = '+ names_as_string +')') + ro.r('the_cross$pheno <- cbind(pheno, ' + col_name + ' = ' + names_as_string + ')') return ro.r["the_cross"] def pull_var(var_name, cross, var_string): ro.globalenv["the_cross"] = cross - ro.r(var_name +' <- pull.pheno(the_cross, ' + var_string + ')') + ro.r(var_name + ' <- pull.pheno(the_cross, ' + var_string + ')') return ro.r[var_name] @@ -317,15 +317,15 @@ def add_cofactors(cross, this_dataset, covariates, samples): datatype = get_trait_data_type(covariate) logger.info("Covariate: " + covariate + " is of type: " + datatype); - if(datatype == "categorical"): # Cat variable + if(datatype == "categorical"): # Cat variable logger.info("call of add_categorical_covar"); - cross, col_names = add_categorical_covar(cross, covar_as_string, i) # Expand and add it to the cross + cross, col_names = add_categorical_covar(cross, covar_as_string, i) # Expand and add it to the cross logger.info("add_categorical_covar returned"); - for z, col_name in enumerate(col_names): # Go through the additional covar names + for z, col_name in enumerate(col_names): # Go through the additional covar names if i < (len(covariate_list) - 1): covar_name_string += '"' + col_name + '", ' else: - if(z < (len(col_names) -1)): + if(z < (len(col_names) - 1)): covar_name_string += '"' + col_name + '", ' else: covar_name_string += '"' + col_name + '"' @@ -376,7 +376,7 @@ def process_pair_scan_results(result): def process_rqtl_perm_results(num_perm, results): perm_vals = [] - for line in str(results).split("\n")[1:(num_perm+1)]: + for line in str(results).split("\n")[1:(num_perm + 1)]: #print("R/qtl permutation line:", line.split()) perm_vals.append(float(line.split()[1])) @@ -393,7 +393,7 @@ def process_rqtl_results(result, species_name): # TODO: how to make this for i, line in enumerate(result.iter_row()): marker = {} marker['name'] = result.rownames[i] - if species_name == "mouse" and output[i][0] == 20: #ZS: This is awkward, but I'm not sure how to change the 20s to Xs in the RData file + if species_name == "mouse" and output[i][0] == 20: # ZS: This is awkward, but I'm not sure how to change the 20s to Xs in the RData file marker['chr'] = "X" else: marker['chr'] = output[i][0] @@ -402,4 +402,4 @@ def process_rqtl_results(result, species_name): # TODO: how to make this marker['lod_score'] = output[i][2] qtl_results.append(marker) - return qtl_results
\ No newline at end of file + return qtl_results diff --git a/wqflask/wqflask/marker_regression/run_mapping.py b/wqflask/wqflask/marker_regression/run_mapping.py index 7dd0bcb6..f1665570 100644 --- a/wqflask/wqflask/marker_regression/run_mapping.py +++ b/wqflask/wqflask/marker_regression/run_mapping.py @@ -1,5 +1,5 @@ from base.trait import GeneralTrait -from base import data_set #import create_dataset +from base import data_set # import create_dataset from pprint import pformat as pf @@ -43,16 +43,16 @@ from utility.external import shell from base.webqtlConfig import TMPDIR, GENERATED_TEXT_DIR import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) class RunMapping: def __init__(self, start_vars, temp_uuid): helper_functions.get_species_dataset_trait(self, start_vars) - self.temp_uuid = temp_uuid #needed to pass temp_uuid to gn1 mapping code (marker_regression_gn1.py) + self.temp_uuid = temp_uuid # needed to pass temp_uuid to gn1 mapping code (marker_regression_gn1.py) - #ZS: Needed to zoom in or remap temp traits like PCA traits + # ZS: Needed to zoom in or remap temp traits like PCA traits if "temp_trait" in start_vars and start_vars['temp_trait'] != "False": self.temp_trait = "True" self.group = self.dataset.group.name @@ -60,7 +60,7 @@ class RunMapping: self.json_data = {} self.json_data['lodnames'] = ['lod.hk'] - #ZS: Sometimes a group may have a genofile that only includes a subset of samples + # ZS: Sometimes a group may have a genofile that only includes a subset of samples genofile_samplelist = [] if 'genofile' in start_vars: if start_vars['genofile'] != "": @@ -93,7 +93,7 @@ class RunMapping: else: self.n_samples = len([val for val in self.vals if val != "x"]) - #ZS: Check if genotypes exist in the DB in order to create links for markers + # ZS: Check if genotypes exist in the DB in order to create links for markers self.geno_db_exists = geno_db_exists(self.dataset) @@ -114,19 +114,19 @@ class RunMapping: self.manhattan_single_color = start_vars['manhattan_single_color'] self.manhattan_plot = True - self.maf = start_vars['maf'] # Minor allele frequency + self.maf = start_vars['maf'] # Minor allele frequency if "use_loco" in start_vars: self.use_loco = start_vars['use_loco'] else: self.use_loco = None self.suggestive = "" self.significant = "" - self.pair_scan = False # Initializing this since it is checked in views to determine which template to use + self.pair_scan = False # Initializing this since it is checked in views to determine which template to use if 'transform' in start_vars: self.transform = start_vars['transform'] else: self.transform = "" - self.score_type = "LRS" #ZS: LRS or LOD + self.score_type = "LRS" # ZS: LRS or LOD self.mapping_scale = "physic" if "mapping_scale" in start_vars: self.mapping_scale = start_vars['mapping_scale'] @@ -136,10 +136,10 @@ class RunMapping: self.covariates = start_vars['covariates'] if "covariates" in start_vars else "" self.categorical_vars = [] - #ZS: This is passed to GN1 code for single chr mapping + # ZS: This is passed to GN1 code for single chr mapping self.selected_chr = -1 if "selected_chr" in start_vars: - if int(start_vars['selected_chr']) != -1: #ZS: Needs to be -1 if showing full map; there's probably a better way to fix this + if int(start_vars['selected_chr']) != -1: # ZS: Needs to be -1 if showing full map; there's probably a better way to fix this self.selected_chr = int(start_vars['selected_chr']) + 1 else: self.selected_chr = int(start_vars['selected_chr']) @@ -153,7 +153,7 @@ class RunMapping: self.lrsMax = start_vars['lrsMax'] if "haplotypeAnalystCheck" in start_vars: self.haplotypeAnalystCheck = start_vars['haplotypeAnalystCheck'] - if "startMb" in start_vars: #ZS: This is to ensure showGenes, Legend, etc are checked the first time you open the mapping page, since startMb will only not be set during the first load + if "startMb" in start_vars: # ZS: This is to ensure showGenes, Legend, etc are checked the first time you open the mapping page, since startMb will only not be set during the first load if "permCheck" in start_vars: self.permCheck = "ON" else: @@ -191,13 +191,13 @@ class RunMapping: self.showGenes = "ON" self.viewLegend = "ON" - #self.dataset.group.get_markers() + # self.dataset.group.get_markers() if self.mapping_method == "gemma": self.first_run = True self.output_files = None if 'output_files' in start_vars: self.output_files = start_vars['output_files'] - if 'first_run' in start_vars: #ZS: check if first run so existing result files can be used if it isn't (for example zooming on a chromosome, etc) + if 'first_run' in start_vars: # ZS: check if first run so existing result files can be used if it isn't (for example zooming on a chromosome, etc) self.first_run = False self.score_type = "-logP" self.manhattan_plot = True @@ -214,9 +214,9 @@ class RunMapping: if "perm_strata" in start_vars and "categorical_vars" in start_vars: self.categorical_vars = start_vars["categorical_vars"].split(",") if len(self.categorical_vars) and start_vars["perm_strata"] == "True": - primary_samples = SampleList(dataset = self.dataset, - sample_names = self.samples, - this_trait = self.this_trait) + primary_samples = SampleList(dataset=self.dataset, + sample_names=self.samples, + this_trait=self.this_trait) perm_strata = get_perm_strata(self.this_trait, primary_samples, self.categorical_vars, self.samples) self.score_type = "LOD" @@ -227,14 +227,14 @@ class RunMapping: else: self.method = "em" self.model = start_vars['mapmodel_rqtl_geno'] - #if start_vars['pair_scan'] == "true": + # if start_vars['pair_scan'] == "true": # self.pair_scan = True if self.permCheck and self.num_perm > 0: - self.perm_output, self.suggestive, self.significant, results= rqtl_mapping.run_rqtl_geno(self.vals, self.samples, self.dataset, self.mapping_scale, self.method, self.model, self.permCheck, self.num_perm, perm_strata, self.do_control, self.control_marker, self.manhattan_plot, self.pair_scan, self.covariates) + self.perm_output, self.suggestive, self.significant, results = rqtl_mapping.run_rqtl_geno(self.vals, self.samples, self.dataset, self.mapping_scale, self.method, self.model, self.permCheck, self.num_perm, perm_strata, self.do_control, self.control_marker, self.manhattan_plot, self.pair_scan, self.covariates) else: results = rqtl_mapping.run_rqtl_geno(self.vals, self.samples, self.dataset, self.mapping_scale, self.method, self.model, self.permCheck, self.num_perm, perm_strata, self.do_control, self.control_marker, self.manhattan_plot, self.pair_scan, self.covariates) elif self.mapping_method == "reaper": - if "startMb" in start_vars: #ZS: Check if first time page loaded, so it can default to ON + if "startMb" in start_vars: # ZS: Check if first time page loaded, so it can default to ON if "additiveCheck" in start_vars: self.additiveCheck = start_vars['additiveCheck'] else: @@ -267,7 +267,7 @@ class RunMapping: if self.reaper_version == "new": self.first_run = True self.output_files = None - if 'first_run' in start_vars: #ZS: check if first run so existing result files can be used if it isn't (for example zooming on a chromosome, etc) + if 'first_run' in start_vars: # ZS: check if first run so existing result files can be used if it isn't (for example zooming on a chromosome, etc) self.first_run = False if 'output_files' in start_vars: self.output_files = start_vars['output_files'].split(",") @@ -311,7 +311,7 @@ class RunMapping: else: if self.pair_scan == True: self.qtl_results = [] - highest_chr = 1 #This is needed in order to convert the highest chr to X/Y + highest_chr = 1 # This is needed in order to convert the highest chr to X/Y for marker in results: if marker['chr1'] > 0 or marker['chr1'] == "X" or marker['chr1'] == "X/Y": if marker['chr1'] > highest_chr or marker['chr1'] == "X" or marker['chr1'] == "X/Y": @@ -328,51 +328,51 @@ class RunMapping: self.json_data['markernames'].append(qtl['name']) self.js_data = dict( - json_data = self.json_data, - this_trait = self.this_trait.name, - data_set = self.dataset.name, - maf = self.maf, - manhattan_plot = self.manhattan_plot, - mapping_scale = self.mapping_scale, - qtl_results = self.qtl_results + json_data=self.json_data, + this_trait=self.this_trait.name, + data_set=self.dataset.name, + maf=self.maf, + manhattan_plot=self.manhattan_plot, + mapping_scale=self.mapping_scale, + qtl_results=self.qtl_results ) else: self.qtl_results = [] self.results_for_browser = [] self.annotations_for_browser = [] - highest_chr = 1 #This is needed in order to convert the highest chr to X/Y + highest_chr = 1 # This is needed in order to convert the highest chr to X/Y for marker in results: if 'Mb' in marker: - this_ps = marker['Mb']*1000000 + this_ps = marker['Mb'] * 1000000 else: - this_ps = marker['cM']*1000000 + this_ps = marker['cM'] * 1000000 browser_marker = dict( - chr = str(marker['chr']), - rs = marker['name'], - ps = this_ps, - url = "/show_trait?trait_id=" + marker['name'] + "&dataset=" + self.dataset.group.name + "Geno" + chr=str(marker['chr']), + rs=marker['name'], + ps=this_ps, + url="/show_trait?trait_id=" + marker['name'] + "&dataset=" + self.dataset.group.name + "Geno" ) if self.geno_db_exists == "True": annot_marker = dict( - name = str(marker['name']), - chr = str(marker['chr']), - rs = marker['name'], - pos = this_ps, - url = "/show_trait?trait_id=" + marker['name'] + "&dataset=" + self.dataset.group.name + "Geno" + name=str(marker['name']), + chr=str(marker['chr']), + rs=marker['name'], + pos=this_ps, + url="/show_trait?trait_id=" + marker['name'] + "&dataset=" + self.dataset.group.name + "Geno" ) else: annot_marker = dict( - name = str(marker['name']), - chr = str(marker['chr']), - rs = marker['name'], - pos = this_ps + name=str(marker['name']), + chr=str(marker['chr']), + rs=marker['name'], + pos=this_ps ) if 'lrs_value' in marker and marker['lrs_value'] > 0: - browser_marker['p_wald'] = 10**-(marker['lrs_value']/4.61) + browser_marker['p_wald'] = 10**-(marker['lrs_value'] / 4.61) elif 'lod_score' in marker and marker['lod_score'] > 0: browser_marker['p_wald'] = 10**-(marker['lod_score']) else: @@ -417,7 +417,7 @@ class RunMapping: chr_lengths = get_chr_lengths(self.mapping_scale, self.mapping_method, self.dataset, self.qtl_results) - #ZS: For zooming into genome browser, need to pass chromosome name instead of number + # ZS: For zooming into genome browser, need to pass chromosome name instead of number if self.dataset.group.species == "mouse": if self.selected_chr == 20: this_chr = "X" @@ -451,29 +451,29 @@ class RunMapping: #mapping_scale = self.mapping_scale, #chromosomes = chromosome_mb_lengths, #qtl_results = self.qtl_results, - categorical_vars = self.categorical_vars, - chr_lengths = chr_lengths, - num_perm = self.num_perm, - perm_results = self.perm_output, - significant = significant_for_browser, - browser_files = browser_files, - selected_chr = this_chr, - total_markers = total_markers + categorical_vars=self.categorical_vars, + chr_lengths=chr_lengths, + num_perm=self.num_perm, + perm_results=self.perm_output, + significant=significant_for_browser, + browser_files=browser_files, + selected_chr=this_chr, + total_markers=total_markers ) else: self.js_data = dict( - chr_lengths = chr_lengths, - browser_files = browser_files, - selected_chr = this_chr, - total_markers = total_markers + chr_lengths=chr_lengths, + browser_files=browser_files, + selected_chr=this_chr, + total_markers=total_markers ) def run_rqtl_plink(self): # os.chdir("") never do this inside a webserver!! - output_filename = webqtlUtil.genRandStr("%s_%s_"%(self.dataset.group.name, self.this_trait.name)) + output_filename = webqtlUtil.genRandStr("%s_%s_" % (self.dataset.group.name, self.this_trait.name)) - plink_mapping.gen_pheno_txt_file_plink(self.this_trait, self.dataset, self.vals, pheno_filename = output_filename) + plink_mapping.gen_pheno_txt_file_plink(self.this_trait, self.dataset, self.vals, pheno_filename=output_filename) rqtl_command = './plink --noweb --ped %s.ped --no-fid --no-parents --no-sex --no-pheno --map %s.map --pheno %s/%s.txt --pheno-name %s --maf %s --missing-phenotype -9999 --out %s%s --assoc ' % (self.dataset.group.name, self.dataset.group.name, TMPDIR, plink_output_filename, self.this_trait.name, self.maf, TMPDIR, plink_output_filename) @@ -612,11 +612,11 @@ def trim_markers_for_figure(markers): if low_counter % 20 == 0: filtered_markers.append(marker) low_counter += 1 - elif 4.61 <= marker[score_type] < (2*4.61): + elif 4.61 <= marker[score_type] < (2 * 4.61): if med_counter % 10 == 0: filtered_markers.append(marker) med_counter += 1 - elif (2*4.61) <= marker[score_type] <= (3*4.61): + elif (2 * 4.61) <= marker[score_type] <= (3 * 4.61): if high_counter % 2 == 0: filtered_markers.append(marker) high_counter += 1 @@ -630,7 +630,7 @@ def trim_markers_for_table(markers): else: sorted_markers = sorted(markers, key=lambda k: k['lrs_value'], reverse=True) - #ZS: So we end up with a list of just 2000 markers + # ZS: So we end up with a list of just 2000 markers if len(sorted_markers) >= 2000: trimmed_sorted_markers = sorted_markers[:2000] return trimmed_sorted_markers @@ -682,9 +682,9 @@ def get_chr_lengths(mapping_scale, mapping_method, dataset, qtl_results): highest_pos = float(result['cM']) * 1000000 else: highest_pos = float(result['Mb']) * 1000000 - chr_lengths.append({ "chr": str(this_chr), "size": str(highest_pos)}) + chr_lengths.append({"chr": str(this_chr), "size": str(highest_pos)}) else: - chr_lengths.append({ "chr": str(this_chr), "size": str(highest_pos)}) + chr_lengths.append({"chr": str(this_chr), "size": str(highest_pos)}) this_chr = chr_as_num else: if mapping_method == "reaper": @@ -721,7 +721,7 @@ def get_perm_strata(this_trait, sample_list, categorical_vars, used_samples): perm_strata_strings.append(combined_string) - d = dict([(y, x+1) for x, y in enumerate(sorted(set(perm_strata_strings)))]) + d = dict([(y, x + 1) for x, y in enumerate(sorted(set(perm_strata_strings)))]) list_to_numbers = [d[x] for x in perm_strata_strings] perm_strata = list_to_numbers diff --git a/wqflask/wqflask/model.py b/wqflask/wqflask/model.py index 772f74e4..8abd6516 100644 --- a/wqflask/wqflask/model.py +++ b/wqflask/wqflask/model.py @@ -29,14 +29,14 @@ class User(Base): registration_info = Column(Text) # json detailing when they were registered, etc. - confirmed = Column(Text) # json detailing when they confirmed, etc. + confirmed = Column(Text) # json detailing when they confirmed, etc. - superuser = Column(Text) # json detailing when they became a superuser, otherwise empty + superuser = Column(Text) # json detailing when they became a superuser, otherwise empty # if not superuser logins = relationship("Login", order_by="desc(Login.timestamp)", - lazy='dynamic', # Necessary for filter in login_count + lazy='dynamic', # Necessary for filter in login_count foreign_keys="Login.user", ) @@ -67,7 +67,7 @@ class User(Base): def get_collection_by_name(self, collection_name): try: collect = self.user_collections.filter_by(name=collection_name).first() - except sqlalchemy.orm.exc.NoResultFound: + except sqlalchemy.orm.exc.NoResultFound: collect = None return collect diff --git a/wqflask/wqflask/parser.py b/wqflask/wqflask/parser.py index dcd328c9..dfd374e2 100644 --- a/wqflask/wqflask/parser.py +++ b/wqflask/wqflask/parser.py @@ -22,7 +22,7 @@ import re from pprint import pformat as pf from utility.logger import getLogger -logger = getLogger(__name__ ) +logger = getLogger(__name__) def parse(pstring): """ @@ -52,7 +52,7 @@ def parse(pstring): if '(' in value or '[' in value: assert value.startswith(("(", "[")), "Invalid token" assert value.endswith((")", "]")), "Invalid token" - value = value[1:-1] # Get rid of the parenthesis + value = value[1:-1] # Get rid of the parenthesis values = re.split(r"""\s+|,""", value) value = [value.strip() for value in values if value.strip()] else: diff --git a/wqflask/wqflask/resource_manager.py b/wqflask/wqflask/resource_manager.py index 7d51a83d..a1fe0f8f 100644 --- a/wqflask/wqflask/resource_manager.py +++ b/wqflask/wqflask/resource_manager.py @@ -26,7 +26,7 @@ def manage_resource(): owner_display_name = None if owner_id != "none": - try: #ZS: User IDs are sometimes stored in Redis as bytes and sometimes as strings, so this is just to avoid any errors for the time being + try: # ZS: User IDs are sometimes stored in Redis as bytes and sometimes as strings, so this is just to avoid any errors for the time being owner_id = str.encode(owner_id) except: pass @@ -38,7 +38,7 @@ def manage_resource(): elif 'email_address' in owner_info: owner_display_name = owner_info['email_address'] - return render_template("admin/manage_resource.html", owner_name = owner_display_name, resource_id = resource_id, resource_info=resource_info, default_mask=default_mask, group_masks=group_masks_with_names, admin_status=admin_status) + return render_template("admin/manage_resource.html", owner_name=owner_display_name, resource_id=resource_id, resource_info=resource_info, default_mask=default_mask, group_masks=group_masks_with_names, admin_status=admin_status) @app.route("/search_for_users", methods=('POST',)) def search_for_user(): @@ -79,7 +79,7 @@ def change_owner(): flash("You lack the permissions to make this change.", "error") return redirect(url_for("manage_resource", resource_id=resource_id)) else: - return render_template("admin/change_resource_owner.html", resource_id = resource_id) + return render_template("admin/change_resource_owner.html", resource_id=resource_id) @app.route("/resources/change_default_privileges", methods=('POST',)) def change_default_privileges(): @@ -108,7 +108,7 @@ def add_group_to_resource(): group_id = request.form['selected_group'] resource_info = get_resource_info(resource_id) default_privileges = resource_info['default_mask'] - return render_template("admin/set_group_privileges.html", resource_id = resource_id, group_id = group_id, default_privileges = default_privileges) + return render_template("admin/set_group_privileges.html", resource_id=resource_id, group_id=group_id, default_privileges = default_privileges) elif all(key in request.form for key in ('data_privilege', 'metadata_privilege', 'admin_privilege')): group_id = request.form['group_id'] group_name = get_group_info(group_id)['name'] @@ -121,7 +121,7 @@ def add_group_to_resource(): flash("Privileges have been added for group {}.".format(group_name), "alert-info") return redirect(url_for("manage_resource", resource_id=resource_id)) else: - return render_template("admin/search_for_groups.html", resource_id = resource_id) + return render_template("admin/search_for_groups.html", resource_id=resource_id) else: return redirect(url_for("no_access_page")) diff --git a/wqflask/wqflask/search_results.py b/wqflask/wqflask/search_results.py index fd7c132b..16eb1864 100644 --- a/wqflask/wqflask/search_results.py +++ b/wqflask/wqflask/search_results.py @@ -22,7 +22,7 @@ from utility.tools import GN2_BASE_URL from utility.type_checking import is_str from utility.logger import getLogger -logger = getLogger(__name__ ) +logger = getLogger(__name__) class SearchResultPage: #maxReturn = 3000 @@ -39,7 +39,7 @@ class SearchResultPage: self.uc_id = uuid.uuid4() self.go_term = None - logger.debug("uc_id:", self.uc_id) # contains a unique id + logger.debug("uc_id:", self.uc_id) # contains a unique id logger.debug("kw is:", kw) # dict containing search terms if kw['search_terms_or']: @@ -72,7 +72,7 @@ class SearchResultPage: self.dataset = create_dataset(kw['dataset'], dataset_type) logger.debug("search_terms:", self.search_terms) - #ZS: I don't like using try/except, but it seems like the easiest way to account for all possible bad searches here + # ZS: I don't like using try/except, but it seems like the easiest way to account for all possible bad searches here try: self.search() except: @@ -183,7 +183,7 @@ class SearchResultPage: combined_from_clause = "" combined_where_clause = "" - previous_from_clauses = [] #The same table can't be referenced twice in the from clause + previous_from_clauses = [] # The same table can't be referenced twice in the from clause logger.debug("len(search_terms)>1") symbol_list = [] @@ -231,7 +231,7 @@ class SearchResultPage: combined_from_clause += from_clause where_clause = the_search.get_where_clause() combined_where_clause += "(" + where_clause + ")" - if (i+1) < len(self.search_terms): + if (i + 1) < len(self.search_terms): if self.and_or == "and": combined_where_clause += "AND" else: @@ -291,7 +291,7 @@ def insert_newlines(string, every=64): """ This is because it is seemingly impossible to change the width of the description column, so I'm just manually adding line breaks """ lines = [] for i in range(0, len(string), every): - lines.append(string[i:i+every]) + lines.append(string[i:i + every]) return '\n'.join(lines) def get_aliases(symbol_list, species): @@ -322,9 +322,9 @@ def get_aliases(symbol_list, species): search_terms = [] for alias in filtered_aliases: - the_search_term = {'key': None, + the_search_term = {'key': None, 'search_term': [alias], - 'separator' : None} + 'separator': None} search_terms.append(the_search_term) return search_terms diff --git a/wqflask/wqflask/show_trait/SampleList.py b/wqflask/wqflask/show_trait/SampleList.py index f955f632..388f831f 100644 --- a/wqflask/wqflask/show_trait/SampleList.py +++ b/wqflask/wqflask/show_trait/SampleList.py @@ -36,16 +36,16 @@ class SampleList: if isinstance(self.this_trait, list): sample = webqtlCaseData.webqtlCaseData(name=sample_name) if counter <= len(self.this_trait): - if isinstance(self.this_trait[counter-1], (bytes, bytearray)): - if (self.this_trait[counter-1].decode("utf-8").lower() != 'x'): + if isinstance(self.this_trait[counter - 1], (bytes, bytearray)): + if (self.this_trait[counter - 1].decode("utf-8").lower() != 'x'): sample = webqtlCaseData.webqtlCaseData( name=sample_name, - value=float(self.this_trait[counter-1])) + value=float(self.this_trait[counter - 1])) else: - if (self.this_trait[counter-1].lower() != 'x'): + if (self.this_trait[counter - 1].lower() != 'x'): sample = webqtlCaseData.webqtlCaseData( name=sample_name, - value=float(self.this_trait[counter-1])) + value=float(self.this_trait[counter - 1])) else: # ZS - If there's no value for the sample/strain, # create the sample object (so samples with no value @@ -69,7 +69,7 @@ class SampleList: sample.extra_attributes = self.sample_attribute_values.get( sample_name, {}) - #ZS: Add a url so RRID case attributes can be displayed as links + # ZS: Add a url so RRID case attributes can be displayed as links if 'rrid' in sample.extra_attributes: if self.dataset.group.species == "mouse": if len(sample.extra_attributes['rrid'].split(":")) > 1: @@ -129,7 +129,7 @@ class SampleList: self.attributes[key].name = name self.attributes[key].distinct_values = [ item.Value for item in values] - self.attributes[key].distinct_values=natural_sort(self.attributes[key].distinct_values) + self.attributes[key].distinct_values = natural_sort(self.attributes[key].distinct_values) all_numbers = True for value in self.attributes[key].distinct_values: try: diff --git a/wqflask/wqflask/show_trait/show_trait.py b/wqflask/wqflask/show_trait/show_trait.py index f9c5fbe6..18cadea4 100644 --- a/wqflask/wqflask/show_trait/show_trait.py +++ b/wqflask/wqflask/show_trait/show_trait.py @@ -46,7 +46,7 @@ class ShowTrait: resource_id=self.resource_id) elif 'group' in kw: self.temp_trait = True - self.trait_id = "Temp_"+kw['species'] + "_" + kw['group'] + \ + self.trait_id = "Temp_" + kw['species'] + "_" + kw['group'] + \ "_" + datetime.datetime.now().strftime("%m%d%H%M%S") self.temp_species = kw['species'] self.temp_group = kw['group'] @@ -368,8 +368,8 @@ class ShowTrait: chr = transcript_start = transcript_end = None if chr and transcript_start and transcript_end and self.this_trait.refseq_transcriptid: - transcript_start = int(transcript_start*1000000) - transcript_end = int(transcript_end*1000000) + transcript_start = int(transcript_start * 1000000) + transcript_end = int(transcript_end * 1000000) self.ucsc_blat_link = webqtlConfig.UCSC_REFSEQ % ( 'mm10', self.this_trait.refseq_transcriptid, chr, transcript_start, transcript_end) @@ -393,8 +393,8 @@ class ShowTrait: if chr and transcript_start and transcript_end and kgId: # Convert to bases from megabases - transcript_start = int(transcript_start*1000000) - transcript_end = int(transcript_end*1000000) + transcript_start = int(transcript_start * 1000000) + transcript_end = int(transcript_end * 1000000) self.ucsc_blat_link = webqtlConfig.UCSC_REFSEQ % ( 'rn6', kgId, chr, transcript_start, transcript_end) @@ -515,13 +515,13 @@ def quantile_normalize_vals(sample_groups): ranked_vals = ss.rankdata(trait_vals) p_list = [] for i, val in enumerate(trait_vals): - p_list.append(((i+1) - 0.5)/len(trait_vals)) + p_list.append(((i + 1) - 0.5) / len(trait_vals)) z = ss.norm.ppf(p_list) normed_vals = [] for rank in ranked_vals: - normed_vals.append("%0.3f" % z[int(rank)-1]) + normed_vals.append("%0.3f" % z[int(rank) - 1]) return normed_vals @@ -585,7 +585,7 @@ def get_nearest_marker(this_trait, this_db): GenoXRef.GenoId = Geno.Id AND GenoFreeze.Id = GenoXRef.GenoFreezeId AND GenoFreeze.Name = '{}' - ORDER BY ABS( Geno.Mb - {}) LIMIT 1""".format(this_chr, this_db.group.name+"Geno", this_mb) + ORDER BY ABS( Geno.Mb - {}) LIMIT 1""".format(this_chr, this_db.group.name + "Geno", this_mb) logger.sql(query) result = g.db.execute(query).fetchall() @@ -605,7 +605,7 @@ def get_table_widths(sample_groups, sample_column_width, has_num_cases=False): trait_table_width += 80 if has_num_cases: trait_table_width += 80 - trait_table_width += len(sample_groups[0].attributes)*88 + trait_table_width += len(sample_groups[0].attributes) * 88 trait_table_width = str(trait_table_width) + "px" diff --git a/wqflask/wqflask/snp_browser/snp_browser.py b/wqflask/wqflask/snp_browser/snp_browser.py index 8658abf8..7a0df94b 100644 --- a/wqflask/wqflask/snp_browser/snp_browser.py +++ b/wqflask/wqflask/snp_browser/snp_browser.py @@ -26,9 +26,9 @@ class SnpBrowser: self.table_rows = [] if self.limit_strains == "true": - self.header_fields, self.empty_field_count, self.header_data_names = get_header_list(variant_type = self.variant_type, strains = self.chosen_strains, empty_columns = self.empty_columns) + self.header_fields, self.empty_field_count, self.header_data_names = get_header_list(variant_type=self.variant_type, strains=self.chosen_strains, empty_columns = self.empty_columns) else: - self.header_fields, self.empty_field_count, self.header_data_names = get_header_list(variant_type = self.variant_type, strains = self.strain_lists, species = self.species_name, empty_columns = self.empty_columns) + self.header_fields, self.empty_field_count, self.header_data_names = get_header_list(variant_type=self.variant_type, strains=self.strain_lists, species = self.species_name, empty_columns = self.empty_columns) def initialize_parameters(self, start_vars): if 'first_run' in start_vars: @@ -249,7 +249,7 @@ class SnpBrowser: def filter_results(self, results): filtered_results = [] - strain_index_list = [] #ZS: List of positions of selected strains in strain list + strain_index_list = [] # ZS: List of positions of selected strains in strain list last_mb = -1 if self.limit_strains == "true" and len(self.chosen_strains) > 0: @@ -272,9 +272,9 @@ class SnpBrowser: if self.limit_strains == "true" and len(self.chosen_strains) > 0: for index in strain_index_list: if self.species_id == 1: - display_strains.append(result[29+index]) + display_strains.append(result[29 + index]) elif self.species_id == 2: - display_strains.append(result[31+index]) + display_strains.append(result[31 + index]) self.allele_list = display_strains effect_info_dict = get_effect_info(effect_list) @@ -300,7 +300,7 @@ class SnpBrowser: else: gene = check_if_in_gene(species_id, chr, mb) transcript = exon = function = function_details = '' - if self.redundant == "false" or last_mb != mb: # filter redundant + if self.redundant == "false" or last_mb != mb: # filter redundant if self.include_record(domain, function, snp_source, conservation_score): info_list = [snp_name, rs, chr, mb, alleles, gene, transcript, exon, domain, function, function_details, snp_source, conservation_score, snp_id] info_list.extend(self.allele_list) @@ -366,7 +366,7 @@ class SnpBrowser: if len(gene_name_list) > 0: gene_id_name_dict = get_gene_id_name_dict(self.species_id, gene_name_list) - #ZS: list of booleans representing which columns are entirely empty, so they aren't displayed on the page; only including ones that are sometimes empty (since there's always a location, etc) + # ZS: list of booleans representing which columns are entirely empty, so they aren't displayed on the page; only including ones that are sometimes empty (since there's always a location, etc) self.empty_columns = { "snp_source": "false", "conservation_score": "false", @@ -389,8 +389,8 @@ class SnpBrowser: snp_name = rs else: rs = "" - start_bp = int(mb*1000000 - 100) - end_bp = int(mb*1000000 + 100) + start_bp = int(mb * 1000000 - 100) + end_bp = int(mb * 1000000 + 100) position_info = "chr%s:%d-%d" % (chr, start_bp, end_bp) if self.species_id == 2: snp_url = webqtlConfig.GENOMEBROWSER_URL % ("rn6", position_info) @@ -434,7 +434,7 @@ class SnpBrowser: transcript_link = "" if exon: - exon = exon[1] # exon[0] is exon_id, exon[1] is exon_rank + exon = exon[1] # exon[0] is exon_id, exon[1] is exon_rank self.empty_columns['exon'] = "true" else: exon = "" @@ -575,7 +575,7 @@ class SnpBrowser: if conservation_score: score_as_float = float(conservation_score) try: - input_score_float = float(self.score) # the user-input score + input_score_float = float(self.score) # the user-input score except: input_score_float = 0.0 @@ -628,17 +628,17 @@ class SnpBrowser: left_offset, right_offset, top_offset, bottom_offset = (30, 30, 40, 50) plot_width = canvas_width - left_offset - right_offset plot_height = canvas_height - top_offset - bottom_offset - y_zero = top_offset + plot_height/2 + y_zero = top_offset + plot_height / 2 - x_scale = plot_width/(self.end_mb - self.start_mb) + x_scale = plot_width / (self.end_mb - self.start_mb) - #draw clickable image map at some point + # draw clickable image map at some point n_click = 80.0 - click_step = plot_width/n_click - click_mb_step = (self.end_mb - self.start_mb)/n_click + click_step = plot_width / n_click + click_mb_step = (self.end_mb - self.start_mb) / n_click - #for i in range(n_click): + # for i in range(n_click): # href = url_for('snp_browser', first_run="false", chosen_strains_mouse=self.chosen_strains_mouse, chosen_strains_rat=self.chosen_strains_rat, variant=self.variant_type, species=self.species_name, gene_name=self.gene_name, chr=self.chr, start_mb=self.start_mb, end_mb=self.end_mb, limit_strains=self.limit_strains, domain=self.domain, function=self.function, criteria=self.criteria, score=self.score, diff_alleles=self.diff_alleles) def get_browser_sample_lists(species_id=1): @@ -660,7 +660,7 @@ def get_browser_sample_lists(species_id=1): return strain_lists -def get_header_list(variant_type, strains, species = None, empty_columns = None): +def get_header_list(variant_type, strains, species=None, empty_columns=None): if species == "Mouse": strain_list = strains['mouse'] elif species == "Rat": @@ -668,7 +668,7 @@ def get_header_list(variant_type, strains, species = None, empty_columns = None) else: strain_list = strains - empty_field_count = 0 #ZS: This is an awkward way of letting the javascript know the index where the allele value columns start; there's probably a better way of doing this + empty_field_count = 0 # ZS: This is an awkward way of letting the javascript know the index where the allele value columns start; there's probably a better way of doing this header_fields = [] header_data_names = [] @@ -715,7 +715,7 @@ def get_header_list(variant_type, strains, species = None, empty_columns = None) return header_fields, empty_field_count, header_data_names -def get_effect_details_by_category(effect_name = None, effect_value = None): +def get_effect_details_by_category(effect_name=None, effect_value=None): gene_list = [] transcript_list = [] exon_list = [] @@ -878,7 +878,7 @@ def get_gene_id_name_dict(species_id, gene_name_list): return gene_id_name_dict def check_if_in_gene(species_id, chr, mb): - if species_id != 0: #ZS: Check if this is necessary + if species_id != 0: # ZS: Check if this is necessary query = """SELECT geneId, geneSymbol FROM GeneList WHERE SpeciesId = {0} AND chromosome = '{1}' AND diff --git a/wqflask/wqflask/submit_bnw.py b/wqflask/wqflask/submit_bnw.py index a0e84c8c..4ad6f9e3 100644 --- a/wqflask/wqflask/submit_bnw.py +++ b/wqflask/wqflask/submit_bnw.py @@ -3,7 +3,7 @@ from base import data_set from utility import helper_functions import utility.logger -logger = utility.logger.getLogger(__name__ ) +logger = utility.logger.getLogger(__name__) def get_bnw_input(start_vars): logger.debug("BNW VARS:", start_vars) diff --git a/wqflask/wqflask/update_search_results.py b/wqflask/wqflask/update_search_results.py index 22a46ef2..08b4f9f5 100644 --- a/wqflask/wqflask/update_search_results.py +++ b/wqflask/wqflask/update_search_results.py @@ -53,7 +53,7 @@ class GSearch: for line in re: dataset = create_dataset(line[3], "ProbeSet", get_samplelist=False) trait_id = line[4] - #with Bench("Building trait object"): + # with Bench("Building trait object"): this_trait = GeneralTrait(dataset=dataset, name=trait_id, get_qtl_info=True, get_sample_info=False) self.trait_list.append(this_trait) @@ -108,8 +108,8 @@ class GSearch: json_dict['data'] = [] for i, trait in enumerate(self.trait_list): - trait_row = { "checkbox": "<INPUT TYPE=\"checkbox\" NAME=\"searchResult\" class=\"checkbox trait_checkbox\" style=\"transform: scale(1.5);\" VALUE=\"{}:{}\">".format(trait.name, trait.dataset.name), - "index": i+1, + trait_row = {"checkbox": "<INPUT TYPE=\"checkbox\" NAME=\"searchResult\" class=\"checkbox trait_checkbox\" style=\"transform: scale(1.5);\" VALUE=\"{}:{}\">".format(trait.name, trait.dataset.name), + "index": i + 1, "species": trait.dataset.group.species, "group": trait.dataset.group.name, "tissue": trait.dataset.tissue, diff --git a/wqflask/wqflask/user_login.py b/wqflask/wqflask/user_login.py index b6e7973f..3f5b43ee 100644 --- a/wqflask/wqflask/user_login.py +++ b/wqflask/wqflask/user_login.py @@ -33,9 +33,9 @@ def timestamp(): return datetime.datetime.utcnow().isoformat() def basic_info(): - return dict(timestamp = timestamp(), - ip_address = request.remote_addr, - user_agent = request.headers.get('User-Agent')) + return dict(timestamp=timestamp(), + ip_address=request.remote_addr, + user_agent=request.headers.get('User-Agent')) def encode_password(pass_gen_fields, unencrypted_password): @@ -77,31 +77,31 @@ def get_signed_session_id(user): session_id_signature = hmac.hmac_creation(session_id) session_id_signed = session_id + ":" + session_id_signature - #ZS: Need to check if this is ever actually used or exists + # ZS: Need to check if this is ever actually used or exists if 'user_id' not in user: user['user_id'] = str(uuid.uuid4()) save_user(user, user['user_id']) if 'github_id' in user: - session = dict(login_time = time.time(), - user_type = "github", - user_id = user['user_id'], - github_id = user['github_id'], - user_name = user['name'], - user_url = user['user_url']) + session = dict(login_time=time.time(), + user_type="github", + user_id=user['user_id'], + github_id=user['github_id'], + user_name=user['name'], + user_url=user['user_url']) elif 'orcid' in user: - session = dict(login_time = time.time(), - user_type = "orcid", - user_id = user['user_id'], - github_id = user['orcid'], - user_name = user['name'], - user_url = user['user_url']) + session = dict(login_time=time.time(), + user_type="orcid", + user_id=user['user_id'], + github_id=user['orcid'], + user_name=user['name'], + user_url=user['user_url']) else: - session = dict(login_time = time.time(), - user_type = "gn2", - user_id = user['user_id'], - user_name = user['full_name'], - user_email_address = user['email_address']) + session = dict(login_time=time.time(), + user_type="gn2", + user_id=user['user_id'], + user_name=user['full_name'], + user_email_address=user['email_address']) key = UserSession.user_cookie_name + ":" + session_id Redis.hmset(key, session) @@ -123,23 +123,23 @@ def send_email(toaddr, msg, fromaddr="no-reply@genenetwork.org"): server.login(SMTP_USERNAME, SMTP_PASSWORD) server.sendmail(fromaddr, toaddr, msg) server.quit() - logger.info("Successfully sent email to "+toaddr) + logger.info("Successfully sent email to " + toaddr) -def send_verification_email(user_details, template_name = "email/user_verification.txt", key_prefix = "verification_code", subject = "GeneNetwork e-mail verification"): +def send_verification_email(user_details, template_name="email/user_verification.txt", key_prefix="verification_code", subject = "GeneNetwork e-mail verification"): verification_code = str(uuid.uuid4()) key = key_prefix + ":" + verification_code - data = json.dumps(dict(id=user_details['user_id'], timestamp = timestamp())) + data = json.dumps(dict(id=user_details['user_id'], timestamp=timestamp())) Redis.set(key, data) Redis.expire(key, THREE_DAYS) recipient = user_details['email_address'] - body = render_template(template_name, verification_code = verification_code) + body = render_template(template_name, verification_code=verification_code) send_email(recipient, subject, body) return {"recipient": recipient, "subject": subject, "body": body} -def send_invitation_email(user_email, temp_password, template_name = "email/user_invitation.txt", subject = "You've been added to a GeneNetwork user group"): +def send_invitation_email(user_email, temp_password, template_name="email/user_invitation.txt", subject= "You've been added to a GeneNetwork user group"): recipient = user_email body = render_template(template_name, temp_password) send_email(recipient, subject, body) @@ -154,7 +154,7 @@ def verify_email(): # We might as well log them in session_id_signed = get_signed_session_id(user_details) flash("Thank you for logging in {}.".format(user_details['full_name']), "alert-success") - response = make_response(redirect(url_for('index_page', import_collections = import_col, anon_id = anon_id))) + response = make_response(redirect(url_for('index_page', import_collections=import_col, anon_id=anon_id))) response.set_cookie(UserSession.user_cookie_name, session_id_signed, max_age=None) return response else: @@ -165,15 +165,15 @@ def login(): params = request.form if request.form else request.args logger.debug("in login params are:", params) - if not params: #ZS: If coming to page for first time + if not params: # ZS: If coming to page for first time from utility.tools import GITHUB_AUTH_URL, GITHUB_CLIENT_ID, ORCID_AUTH_URL, ORCID_CLIENT_ID external_login = {} if GITHUB_AUTH_URL and GITHUB_CLIENT_ID != 'UNKNOWN': external_login["github"] = GITHUB_AUTH_URL if ORCID_AUTH_URL and ORCID_CLIENT_ID != 'UNKNOWN': external_login["orcid"] = ORCID_AUTH_URL - return render_template("new_security/login_user.html", external_login = external_login, redis_is_available=is_redis_available()) - else: #ZS: After clicking sign-in + return render_template("new_security/login_user.html", external_login=external_login, redis_is_available=is_redis_available()) + else: # ZS: After clicking sign-in if 'type' in params and 'uid' in params: user_details = get_user_by_unique_column("user_id", params['uid']) if user_details: @@ -204,13 +204,13 @@ def login(): encrypted_pass_fields = encode_password(pwfields, submitted_password) password_match = pbkdf2.safe_str_cmp(encrypted_pass_fields['password'], pwfields['password']) - else: # Invalid e-mail + else: # Invalid e-mail flash("Invalid e-mail address. Please try again.", "alert-danger") response = make_response(redirect(url_for('login'))) return response - if password_match: # If password correct - if user_details['confirmed']: # If account confirmed + if password_match: # If password correct + if user_details['confirmed']: # If account confirmed import_col = "false" anon_id = "" if 'import_collections' in params: @@ -219,14 +219,14 @@ def login(): session_id_signed = get_signed_session_id(user_details) flash("Thank you for logging in {}.".format(user_details['full_name']), "alert-success") - response = make_response(redirect(url_for('index_page', import_collections = import_col, anon_id = anon_id))) + response = make_response(redirect(url_for('index_page', import_collections=import_col, anon_id=anon_id))) response.set_cookie(UserSession.user_cookie_name, session_id_signed, max_age=None) return response else: - email_ob = send_verification_email(user_details, template_name = "email/user_verification.txt") + email_ob = send_verification_email(user_details, template_name="email/user_verification.txt") return render_template("newsecurity/verification_still_needed.html", subject=email_ob['subject']) - else: # Incorrect password - #ZS: It previously seemed to store that there was an incorrect log-in attempt here, but it did so in the MySQL DB so this might need to be reproduced with Redis + else: # Incorrect password + # ZS: It previously seemed to store that there was an incorrect log-in attempt here, but it did so in the MySQL DB so this might need to be reproduced with Redis flash("Invalid password. Please try again.", "alert-danger") response = make_response(redirect(url_for('login'))) @@ -243,7 +243,7 @@ def github_oauth2(): } result = requests.post("https://github.com/login/oauth/access_token", json=data) - result_dict = {arr[0]:arr[1] for arr in [tok.split("=") for tok in result.text.split("&")]} + result_dict = {arr[0]: arr[1] for arr in [tok.split("=") for tok in result.text.split("&")]} github_user = get_github_user_details(result_dict["access_token"]) @@ -261,12 +261,12 @@ def github_oauth2(): } save_user(user_details, user_details["user_id"]) - url = "/n/login?type=github&uid="+user_details["user_id"] + url = "/n/login?type=github&uid=" + user_details["user_id"] return redirect(url) def get_github_user_details(access_token): from utility.tools import GITHUB_API_URL - result = requests.get(GITHUB_API_URL, headers = {'Authorization':'token ' + access_token }).content + result = requests.get(GITHUB_API_URL, headers={'Authorization': 'token ' + access_token}).content return json.loads(result) @@ -303,14 +303,14 @@ def orcid_oauth2(): } save_user(user_details, user_details["user_id"]) - url = "/n/login?type=orcid&uid="+user_details["user_id"] + url = "/n/login?type=orcid&uid=" + user_details["user_id"] else: flash("There was an error getting code from ORCID") return redirect(url) def get_github_user_details(access_token): from utility.tools import GITHUB_API_URL - result = requests.get(GITHUB_API_URL, headers = {'Authorization':'token ' + access_token }).content + result = requests.get(GITHUB_API_URL, headers={'Authorization': 'token ' + access_token}).content return json.loads(result) @@ -337,7 +337,7 @@ def send_forgot_password_email(verification_email): from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText - template_name = "email/forgot_password.txt" + template_name = "email/forgot_password.txt" key_prefix = "forgot_password_code" subject = "GeneNetwork password reset" fromaddr = "no-reply@genenetwork.org" @@ -353,7 +353,7 @@ def send_forgot_password_email(verification_email): save_verification_code(verification_email, verification_code) - body = render_template(template_name, verification_code = verification_code) + body = render_template(template_name, verification_code=verification_code) msg = MIMEMultipart() msg["To"] = verification_email diff --git a/wqflask/wqflask/user_manager.py b/wqflask/wqflask/user_manager.py index fcec3b67..013920f9 100644 --- a/wqflask/wqflask/user_manager.py +++ b/wqflask/wqflask/user_manager.py @@ -74,11 +74,11 @@ class AnonUser: self.key = "anon_collection:v1:{}".format(self.anon_id) def add_collection(self, new_collection): - collection_dict = dict(name = new_collection.name, - created_timestamp = datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p'), - changed_timestamp = datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p'), - num_members = new_collection.num_members, - members = new_collection.get_members()) + collection_dict = dict(name=new_collection.name, + created_timestamp=datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p'), + changed_timestamp=datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p'), + num_members=new_collection.num_members, + members=new_collection.get_members()) Redis.set(self.key, json.dumps(collection_dict)) Redis.expire(self.key, 60 * 60 * 24 * 365) @@ -111,7 +111,7 @@ class AnonUser: collection['created_timestamp'] = datetime.datetime.strptime(collection['created_timestamp'], '%b %d %Y %I:%M%p') collection['changed_timestamp'] = datetime.datetime.strptime(collection['changed_timestamp'], '%b %d %Y %I:%M%p') - collections = sorted(collections, key = lambda i: i['changed_timestamp'], reverse = True) + collections = sorted(collections, key=lambda i: i['changed_timestamp'], reverse=True) return collections def import_traits_to_user(self): @@ -182,13 +182,13 @@ class UserSession: # weekend and the site hasn't been visited by the user self.logged_in = False - ########### Grrr...this won't work because of the way flask handles cookies + # Grrr...this won't work because of the way flask handles cookies # Delete the cookie #response = make_response(redirect(url_for('login'))) #response.set_cookie(self.cookie_name, '', expires=0) - #flash( + # flash( # "Due to inactivity your session has expired. If you'd like please login again.") - #return response + # return response return if Redis.ttl(self.redis_key) < THREE_DAYS: @@ -213,7 +213,7 @@ class UserSession: user_email = self.record['user_email_address'] - #ZS: Get user's collections if they exist + # ZS: Get user's collections if they exist user_id = None user_id = get_user_id("email_address", user_email) return user_id @@ -230,7 +230,7 @@ class UserSession: def user_collections(self): """List of user's collections""" - #ZS: Get user's collections if they exist + # ZS: Get user's collections if they exist collections = get_user_collections(self.redis_user_id) return collections @@ -248,7 +248,7 @@ class UserSession: 'created_timestamp': datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p'), 'changed_timestamp': datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p'), 'num_members': len(traits), - 'members': list(traits) } + 'members': list(traits)} current_collections = self.user_collections current_collections.append(collection_dict) @@ -347,7 +347,7 @@ def get_cookie(): g.user_session = UserSession() g.cookie_session = AnonUser() -#@app.after_request +# @app.after_request def set_cookie(response): if not request.cookies.get(g.cookie_session.cookie_name): response.set_cookie(g.cookie_session.cookie_name, g.cookie_session.cookie) @@ -455,7 +455,7 @@ def set_password(password, user): class VerificationEmail: - template_name = "email/verification.txt" + template_name = "email/verification.txt" key_prefix = "verification_code" subject = "GeneNetwork email verification" @@ -473,7 +473,7 @@ class VerificationEmail: to = user.email_address subject = self.subject body = render_template(self.template_name, - verification_code = verification_code) + verification_code=verification_code) send_email(to, subject, body) class ForgotPasswordEmail(VerificationEmail): @@ -500,7 +500,7 @@ class ForgotPasswordEmail(VerificationEmail): subject = self.subject body = render_template( self.template_name, - verification_code = verification_code) + verification_code=verification_code) msg = MIMEMultipart() msg["To"] = toaddr @@ -525,11 +525,11 @@ class Password: def basic_info(): - return dict(timestamp = timestamp(), - ip_address = request.remote_addr, - user_agent = request.headers.get('User-Agent')) + return dict(timestamp=timestamp(), + ip_address=request.remote_addr, + user_agent=request.headers.get('User-Agent')) -#@app.route("/manage/verify_email") +# @app.route("/manage/verify_email") def verify_email(): user = DecodeUser(VerificationEmail.key_prefix).user user.confirmed = json.dumps(basic_info(), sort_keys=True) @@ -543,7 +543,7 @@ def verify_email(): response.set_cookie(UserSession.cookie_name, session_id_signed) return response -#@app.route("/n/password_reset", methods=['GET']) +# @app.route("/n/password_reset", methods=['GET']) def password_reset(): """Entry point after user clicks link in E-mail""" logger.debug("in password_reset request.url is:", request.url) @@ -567,7 +567,7 @@ def password_reset(): else: return redirect(url_for("login")) -#@app.route("/n/password_reset_step2", methods=('POST',)) +# @app.route("/n/password_reset_step2", methods=('POST',)) def password_reset_step2(): """Handle confirmation E-mail for password reset""" logger.debug("in password_reset request.url is:", request.url) @@ -611,7 +611,7 @@ class DecodeUser: logger.debug("data is:", data) return model.User.query.get(data['id']) -#@app.route("/n/login", methods=('GET', 'POST')) +# @app.route("/n/login", methods=('GET', 'POST')) def login(): lu = LoginUser() login_type = request.args.get("type") @@ -621,7 +621,7 @@ def login(): else: return lu.standard_login() -#@app.route("/n/login/github_oauth2", methods=('GET', 'POST')) +# @app.route("/n/login/github_oauth2", methods=('GET', 'POST')) def github_oauth2(): from utility.tools import GITHUB_CLIENT_ID, GITHUB_CLIENT_SECRET code = request.args.get("code") @@ -631,28 +631,21 @@ def github_oauth2(): "code": code } result = requests.post("https://github.com/login/oauth/access_token", json=data) - result_dict = {arr[0]:arr[1] for arr in [tok.split("=") for tok in [token.encode("utf-8") for token in result.text.split("&")]]} + result_dict = {arr[0]: arr[1] for arr in [tok.split("=") for tok in [token.encode("utf-8") for token in result.text.split("&")]]} github_user = get_github_user_details(result_dict["access_token"]) user_details = get_user_by_unique_column("github_id", github_user["id"]) if user_details == None: user_details = { - "user_id": str(uuid.uuid4()) - , "name": github_user["name"].encode("utf-8") - , "github_id": github_user["id"] - , "user_url": github_user["html_url"].encode("utf-8") - , "login_type": "github" - , "organization": "" - , "active": 1 - , "confirmed": 1 + "user_id": str(uuid.uuid4()), "name": github_user["name"].encode("utf-8"), "github_id": github_user["id"], "user_url": github_user["html_url"].encode("utf-8") , "login_type": "github" , "organization": "" , "active": 1 , "confirmed": 1 } save_user(user_details, user_details["user_id"]) - url = "/n/login?type=github&uid="+user_details["user_id"] + url = "/n/login?type=github&uid=" + user_details["user_id"] return redirect(url) -#@app.route("/n/login/orcid_oauth2", methods=('GET', 'POST')) +# @app.route("/n/login/orcid_oauth2", methods=('GET', 'POST')) def orcid_oauth2(): from uuid import uuid4 from utility.tools import ORCID_CLIENT_ID, ORCID_CLIENT_SECRET, ORCID_TOKEN_URL, ORCID_AUTH_URL @@ -661,10 +654,7 @@ def orcid_oauth2(): url = "/n/login" if code: data = { - "client_id": ORCID_CLIENT_ID - , "client_secret": ORCID_CLIENT_SECRET - , "grant_type": "authorization_code" - , "code": code + "client_id": ORCID_CLIENT_ID, "client_secret": ORCID_CLIENT_SECRET, "grant_type": "authorization_code", "code": code } result = requests.post(ORCID_TOKEN_URL, data=data) result_dict = json.loads(result.text.encode("utf-8")) @@ -672,31 +662,24 @@ def orcid_oauth2(): user_details = get_user_by_unique_column("orcid", result_dict["orcid"]) if user_details == None: user_details = { - "user_id": str(uuid4()) - , "name": result_dict["name"] - , "orcid": result_dict["orcid"] - , "user_url": "%s/%s" % ( + "user_id": str(uuid4()), "name": result_dict["name"], "orcid": result_dict["orcid"], "user_url": "%s/%s" % ( "/".join(ORCID_AUTH_URL.split("/")[:-2]), - result_dict["orcid"]) - , "login_type": "orcid" - , "organization": "" - , "active": 1 - , "confirmed": 1 + result_dict["orcid"]), "login_type": "orcid", "organization": "", "active": 1 , "confirmed": 1 } save_user(user_details, user_details["user_id"]) - url = "/n/login?type=orcid&uid="+user_details["user_id"] + url = "/n/login?type=orcid&uid=" + user_details["user_id"] else: flash("There was an error getting code from ORCID") return redirect(url) def get_github_user_details(access_token): from utility.tools import GITHUB_API_URL - result = requests.get(GITHUB_API_URL, params={"access_token":access_token}) + result = requests.get(GITHUB_API_URL, params={"access_token": access_token}) return result.json() class LoginUser: - remember_time = 60 * 60 * 24 * 30 # One month in seconds + remember_time = 60 * 60 * 24 * 30 # One month in seconds def __init__(self): self.remember_me = False @@ -730,9 +713,7 @@ class LoginUser: external_login["orcid"] = ORCID_AUTH_URL return render_template( - "new_security/login_user.html" - , external_login=external_login - , redis_is_available = is_redis_available()) + "new_security/login_user.html", external_login=external_login, redis_is_available=is_redis_available()) else: user_details = get_user_by_unique_column("email_address", params["email_address"]) #user_details = get_user_by_unique_column(es, "email_address", params["email_address"]) @@ -770,7 +751,7 @@ class LoginUser: else: import_col = "false" - #g.cookie_session.import_traits_to_user() + # g.cookie_session.import_traits_to_user() self.logged_in = True @@ -810,10 +791,10 @@ class LoginUser: if not user.id: user.id = '' - session = dict(login_time = time.time(), - user_id = user.id, - user_name = user.full_name, - user_email_address = user.email_address) + session = dict(login_time=time.time(), + user_id=user.id, + user_name=user.full_name, + user_email_address=user.email_address) key = UserSession.cookie_name + ":" + login_rec.session_id logger.debug("Key when signing:", key) @@ -832,7 +813,7 @@ class LoginUser: db_session.add(login_rec) db_session.commit() -#@app.route("/n/logout") +# @app.route("/n/logout") def logout(): logger.debug("Logging out...") UserSession().delete_session() @@ -843,7 +824,7 @@ def logout(): return response -#@app.route("/n/forgot_password", methods=['GET']) +# @app.route("/n/forgot_password", methods=['GET']) def forgot_password(): """Entry point for forgotten password""" print("ARGS: ", request.args) @@ -851,7 +832,7 @@ def forgot_password(): print("ERRORS: ", errors) return render_template("new_security/forgot_password.html", errors=errors) -#@app.route("/n/forgot_password_submit", methods=('POST',)) +# @app.route("/n/forgot_password_submit", methods=('POST',)) def forgot_password_submit(): """When a forgotten password form is submitted we get here""" params = request.form @@ -886,7 +867,7 @@ def is_redis_available(): ### # ZS: The following 6 functions require the old MySQL User accounts; I'm leaving them commented out just in case we decide to reimplement them using ElasticSearch ### -#def super_only(): +# def super_only(): # try: # superuser = g.user_session.user_ob.superuser # except AttributeError: @@ -895,26 +876,26 @@ def is_redis_available(): # flash("You must be a superuser to access that page.", "alert-error") # abort(401) -#@app.route("/manage/users") -#def manage_users(): +# @app.route("/manage/users") +# def manage_users(): # super_only() # template_vars = UsersManager() # return render_template("admin/user_manager.html", **template_vars.__dict__) -#@app.route("/manage/user") -#def manage_user(): +# @app.route("/manage/user") +# def manage_user(): # super_only() # template_vars = UserManager(request.args) # return render_template("admin/ind_user_manager.html", **template_vars.__dict__) -#@app.route("/manage/groups") -#def manage_groups(): +# @app.route("/manage/groups") +# def manage_groups(): # super_only() # template_vars = GroupsManager(request.args) # return render_template("admin/group_manager.html", **template_vars.__dict__) -#@app.route("/manage/make_superuser") -#def make_superuser(): +# @app.route("/manage/make_superuser") +# def make_superuser(): # super_only() # params = request.args # user_id = params['user_id'] @@ -926,8 +907,8 @@ def is_redis_available(): # flash("We've made {} a superuser!".format(user.name_and_org)) # return redirect(url_for("manage_users")) -#@app.route("/manage/assume_identity") -#def assume_identity(): +# @app.route("/manage/assume_identity") +# def assume_identity(): # super_only() # params = request.args # user_id = params['user_id'] @@ -936,7 +917,7 @@ def is_redis_available(): # return LoginUser().actual_login(user, assumed_by=assumed_by) -#@app.route("/n/register", methods=('GET', 'POST')) +# @app.route("/n/register", methods=('GET', 'POST')) def register(): params = None errors = None @@ -1023,21 +1004,21 @@ def send_email(toaddr, msg, fromaddr="no-reply@genenetwork.org"): """ if SMTP_USERNAME == 'UNKNOWN': - logger.debug("SMTP: connecting with host "+SMTP_CONNECT) + logger.debug("SMTP: connecting with host " + SMTP_CONNECT) server = SMTP(SMTP_CONNECT) server.sendmail(fromaddr, toaddr, msg) else: - logger.debug("SMTP: connecting TLS with host "+SMTP_CONNECT) + logger.debug("SMTP: connecting TLS with host " + SMTP_CONNECT) server = SMTP(SMTP_CONNECT) server.starttls() - logger.debug("SMTP: login with user "+SMTP_USERNAME) + logger.debug("SMTP: login with user " + SMTP_USERNAME) server.login(SMTP_USERNAME, SMTP_PASSWORD) - logger.debug("SMTP: "+fromaddr) - logger.debug("SMTP: "+toaddr) - logger.debug("SMTP: "+msg) + logger.debug("SMTP: " + fromaddr) + logger.debug("SMTP: " + toaddr) + logger.debug("SMTP: " + msg) server.sendmail(fromaddr, toaddr, msg) server.quit() - logger.info("Successfully sent email to "+toaddr) + logger.info("Successfully sent email to " + toaddr) class GroupsManager: def __init__(self, kw): diff --git a/wqflask/wqflask/user_session.py b/wqflask/wqflask/user_session.py index cc0ac744..78db7bd2 100644 --- a/wqflask/wqflask/user_session.py +++ b/wqflask/wqflask/user_session.py @@ -24,7 +24,7 @@ THIRTY_DAYS = 60 * 60 * 24 * 30 def get_user_session(): logger.info("@app.before_request get_session") g.user_session = UserSession() - #ZS: I think this should solve the issue of deleting the cookie and redirecting to the home page when a user's session has expired + # ZS: I think this should solve the issue of deleting the cookie and redirecting to the home page when a user's session has expired if not g.user_session: response = make_response(redirect(url_for('login'))) response.set_cookie('session_id_v2', '', expires=0) @@ -51,7 +51,7 @@ def create_signed_cookie(): logger.debug("uuid_signed:", uuid_signed) return the_uuid, uuid_signed -@app.route("/user/manage", methods=('GET','POST')) +@app.route("/user/manage", methods=('GET', 'POST')) def manage_user(): params = request.form if request.form else request.args if 'new_full_name' in params: @@ -61,7 +61,7 @@ def manage_user(): user_details = get_user_by_unique_column("user_id", g.user_session.user_id) - return render_template("admin/manage_user.html", user_details = user_details) + return render_template("admin/manage_user.html", user_details=user_details) class UserSession: """Logged in user handling""" @@ -89,25 +89,25 @@ class UserSession: self.session_id = session_id self.record = Redis.hgetall(self.redis_key) - #ZS: If user correctled logged in but their session expired - #ZS: Need to test this by setting the time-out to be really short or something + # ZS: If user correctled logged in but their session expired + # ZS: Need to test this by setting the time-out to be really short or something if not self.record or self.record == []: if user_cookie: self.logged_in = False - self.record = dict(login_time = time.time(), - user_type = "anon", - user_id = str(uuid.uuid4())) + self.record = dict(login_time=time.time(), + user_type="anon", + user_id=str(uuid.uuid4())) Redis.hmset(self.redis_key, self.record) Redis.expire(self.redis_key, THIRTY_DAYS) - ########### Grrr...this won't work because of the way flask handles cookies + # Grrr...this won't work because of the way flask handles cookies # Delete the cookie flash("Due to inactivity your session has expired. If you'd like please login again.") return None else: - self.record = dict(login_time = time.time(), - user_type = "anon", - user_id = str(uuid.uuid4())) + self.record = dict(login_time=time.time(), + user_type="anon", + user_id=str(uuid.uuid4())) Redis.hmset(self.redis_key, self.record) Redis.expire(self.redis_key, THIRTY_DAYS) else: @@ -138,13 +138,13 @@ class UserSession: def redis_user_id(self): """User id from Redis (need to check if this is the same as the id stored in self.records)""" - #ZS: This part is a bit weird. Some accounts used to not have saved user ids, and in the process of testing I think I created some duplicate accounts for myself. - #ZS: Accounts should automatically generate user_ids if they don't already have one now, so this might not be necessary for anything other than my account's collections + # ZS: This part is a bit weird. Some accounts used to not have saved user ids, and in the process of testing I think I created some duplicate accounts for myself. + # ZS: Accounts should automatically generate user_ids if they don't already have one now, so this might not be necessary for anything other than my account's collections if 'user_email_address' in self.record: user_email = self.record['user_email_address'] - #ZS: Get user's collections if they exist + # ZS: Get user's collections if they exist user_id = None user_id = get_user_id("email_address", user_email) elif 'user_id' in self.record: @@ -153,7 +153,7 @@ class UserSession: user_github_id = self.record['github_id'] user_id = None user_id = get_user_id("github_id", user_github_id) - else: #ZS: Anonymous user + else: # ZS: Anonymous user return None return user_id @@ -170,9 +170,9 @@ class UserSession: def user_collections(self): """List of user's collections""" - #ZS: Get user's collections if they exist + # ZS: Get user's collections if they exist collections = get_user_collections(self.user_id) - collections = [item for item in collections if item['name'] != "Your Default Collection"] + [item for item in collections if item['name'] == "Your Default Collection"] #ZS: Ensure Default Collection is last in list + collections = [item for item in collections if item['name'] != "Your Default Collection"] + [item for item in collections if item['name'] == "Your Default Collection"] # ZS: Ensure Default Collection is last in list return collections @property @@ -189,7 +189,7 @@ class UserSession: 'created_timestamp': datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p'), 'changed_timestamp': datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p'), 'num_members': len(traits), - 'members': list(traits) } + 'members': list(traits)} current_collections = self.user_collections current_collections.append(collection_dict) diff --git a/wqflask/wqflask/views.py b/wqflask/wqflask/views.py index 37f2094f..2c53012a 100644 --- a/wqflask/wqflask/views.py +++ b/wqflask/wqflask/views.py @@ -141,7 +141,7 @@ def handle_bad_request(e): now = datetime.datetime.utcnow() time_str = now.strftime('%l:%M%p UTC %b %d, %Y') formatted_lines = [request.url + - " ("+time_str+")"]+traceback.format_exc().splitlines() + " (" + time_str + ")"]+traceback.format_exc().splitlines() # Handle random animations # Use a cookie to have one animation on refresh @@ -240,7 +240,7 @@ def search_page(): if USE_REDIS and valid_search: Redis.set(key, pickle.dumps(result, pickle.HIGHEST_PROTOCOL)) - Redis.expire(key, 60*60) + Redis.expire(key, 60 * 60) if valid_search: return render_template("search_result_page.html", **result) @@ -601,7 +601,7 @@ def heatmap_page(): pickled_result = pickle.dumps(result, pickle.HIGHEST_PROTOCOL) logger.info("pickled result length:", len(pickled_result)) Redis.set(key, pickled_result) - Redis.expire(key, 60*60) + Redis.expire(key, 60 * 60) with Bench("Rendering template"): rendered_template = render_template("heatmap.html", **result) |