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author | Frederick Muriuki Muriithi | 2022-05-26 16:42:27 +0300 |
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committer | Frederick Muriuki Muriithi | 2022-05-26 16:42:27 +0300 |
commit | 236d9236c794d7870258eab9e087f990c557462a (patch) | |
tree | 8f5d38f5819ac6853c99215a7fe983263d784b2a /gn3 | |
parent | fdf9061981ce5d341d178951adeb19dd0376ee66 (diff) | |
download | genenetwork3-236d9236c794d7870258eab9e087f990c557462a.tar.gz |
Add Endpoint to get menu items for use in UI
Diffstat (limited to 'gn3')
-rw-r--r-- | gn3/api/menu.py | 14 | ||||
-rw-r--r-- | gn3/app.py | 2 | ||||
-rw-r--r-- | gn3/db/menu.py | 229 |
3 files changed, 245 insertions, 0 deletions
diff --git a/gn3/api/menu.py b/gn3/api/menu.py new file mode 100644 index 0000000..cc77ab8 --- /dev/null +++ b/gn3/api/menu.py @@ -0,0 +1,14 @@ +"""API for data used to generate menus""" + +from flask import jsonify, Blueprint + +from gn3.db.menu import gen_dropdown_json +from gn3.db_utils import database_connector + +menu = Blueprint("menu", __name__) + +@menu.route("/generate/json") +def generate_json(): + """Get the menu in the JSON format""" + with database_connector() as conn: + return jsonify(gen_dropdown_json(conn)) @@ -16,6 +16,7 @@ from gn3.api.data_entry import data_entry from gn3.api.wgcna import wgcna from gn3.api.ctl import ctl from gn3.api.async_commands import async_commands +from gn3.api.menu import menu def create_app(config: Union[Dict, str, None] = None) -> Flask: """Create a new flask object""" @@ -49,4 +50,5 @@ def create_app(config: Union[Dict, str, None] = None) -> Flask: app.register_blueprint(wgcna, url_prefix="/api/wgcna") app.register_blueprint(ctl, url_prefix="/api/ctl") app.register_blueprint(async_commands, url_prefix="/api/async_commands") + app.register_blueprint(menu, url_prefix="/api/menu") return app diff --git a/gn3/db/menu.py b/gn3/db/menu.py new file mode 100644 index 0000000..8dccabf --- /dev/null +++ b/gn3/db/menu.py @@ -0,0 +1,229 @@ +"""Menu generation code for the data in the dropdowns in the index page.""" + +from typing import Tuple +from functools import reduce + +from gn3.db.species import get_all_species + +def gen_dropdown_json(conn): + """ + Generates and outputs (as json file) the data for the main dropdown menus on + the home page. + """ + species = get_all_species(conn) + groups = get_groups(conn, tuple(row[0] for row in species)) + types = get_types(conn, groups) + datasets = get_datasets(conn, types) + return dict(species=species, + groups=groups, + types=types, + datasets=datasets) + +def get_groups(conn, species_names: Tuple[str, ...]): + """Build groups list""" + with conn.cursor() as cursor: + query = ( + "SELECT InbredSet.Name, InbredSet.FullName, " + "IFNULL(InbredSet.Family, 'None'), " + "Species.Name AS species_name " + "FROM Species " + "INNER JOIN InbredSet ON InbredSet.SpeciesId = Species.Id " + "WHERE Species.Name IN " + f"({', '.join(['%s']*len(species_names))}) " + "GROUP BY InbredSet.Name " + "ORDER BY IFNULL(InbredSet.FamilyOrder, InbredSet.FullName) ASC, " + "IFNULL(InbredSet.Family, InbredSet.FullName) ASC, " + "InbredSet.FullName ASC, " + "InbredSet.MenuOrderId ASC") + cursor.execute(query, tuple(species_names)) + results = cursor.fetchall() + + def __organise_by_species(acc, row): + family_name = f"Family:{str(row[2])}" + species_name = row[3] + key_exists = bool(acc.get(species_name, False)) + if not key_exists: + return { + **acc, + species_name: [[str(row[0]), str(row[1]), family_name],] + } + + return { + **acc, + species_name: acc[species_name] + [ + [str(row[0]), str(row[1]), family_name],] + } + + return reduce(__organise_by_species, results, {}) + +def get_types(conn, groups): + """Build types list""" + types = {} + + for species, group_dict in list(groups.items()): + types[species] = {} + for group_name, _group_full_name, _family_name in group_dict: + if phenotypes_exist(conn, group_name): + types[species][group_name] = [ + ("Phenotypes", "Traits and Cofactors", "Phenotypes")] + if genotypes_exist(conn, group_name): + if group_name in types[species]: + types[species][group_name] += [ + ("Genotypes", "DNA Markers and SNPs", "Genotypes")] + else: + types[species][group_name] = [ + ("Genotypes", "DNA Markers and SNPs", "Genotypes")] + if group_name in types[species]: + types_list = build_types(conn, species, group_name) + if len(types_list) > 0: + types[species][group_name] += types_list + else: + types_list = build_types(conn, species, group_name) + if len(types_list) > 0: + types[species][group_name] = types_list + else: + types[species].pop(group_name, None) + groups[species] = list( + group for group in groups[species] + if group[0] != group_name) + return types + +def phenotypes_exist(conn, group_name): + "Check whether phenotypes exist for the given group" + with conn.cursor() as cursor: + cursor.execute( + ("SELECT Name FROM PublishFreeze " + "WHERE PublishFreeze.Name = %s"), + (group_name + "Publish",)) + results = cursor.fetchone() + return bool(results) + +def genotypes_exist(conn, group_name): + "Check whether genotypes exist for the given group" + with conn.cursor() as cursor: + cursor.execute( + ("SELECT Name FROM GenoFreeze " + + "WHERE GenoFreeze.Name = %s"), + (group_name + "Geno",)) + results = cursor.fetchone() + return bool(results) + +def build_types(conn, species, group): + """Fetches tissues + + Gets the tissues with data for this species/group + (all types except phenotype/genotype are tissues) + """ + query = ( + "SELECT DISTINCT Tissue.Name " + "FROM ProbeFreeze, ProbeSetFreeze, InbredSet, " + "Tissue, Species WHERE Species.Name = %s " + "AND Species.Id = InbredSet.SpeciesId AND " + "InbredSet.Name = %s AND ProbeFreeze.TissueId = " + "Tissue.Id AND ProbeFreeze.InbredSetId = InbredSet.Id " + "AND ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id " + "ORDER BY Tissue.Name") + results = [] + with conn.cursor() as cursor: + cursor.execute(query, (species, group)) + for result in cursor.fetchall(): + if bool(result): + these_datasets = build_datasets(conn, species, group, result[0]) + if len(these_datasets) > 0: + results.append([ + str(result[0]), str(result[0]), "Molecular Traits"]) + + return results + +def get_datasets(conn, types): + """Build datasets list""" + datasets = {} + for species, group_dict in list(types.items()): + datasets[species] = {} + for group, type_list in list(group_dict.items()): + datasets[species][group] = {} + for type_name in type_list: + these_datasets = build_datasets( + conn, species, group, type_name[0]) + if bool(these_datasets): + datasets[species][group][type_name[0]] = these_datasets + + return datasets + +def build_datasets(conn, species, group, type_name): + """Gets dataset names from database""" + dataset_text = dataset_value = None + datasets = [] + with conn.cursor() as cursor: + if type_name == "Phenotypes": + cursor.execute( + ("SELECT InfoFiles.GN_AccesionId, PublishFreeze.Name, " + "PublishFreeze.FullName FROM InfoFiles, PublishFreeze, " + "InbredSet WHERE InbredSet.Name = %s AND " + "PublishFreeze.InbredSetId = InbredSet.Id AND " + "InfoFiles.InfoPageName = PublishFreeze.Name " + "ORDER BY PublishFreeze.CreateTime ASC"), (group,)) + results = cursor.fetchall() + if bool(results): + for result in results: + dataset_id = str(result[0]) + dataset_value = str(result[1]) + dataset_text = str(result[2]) + if group == 'MDP': + dataset_text = "Mouse Phenome Database" + + datasets.append([dataset_id, dataset_value, dataset_text]) + else: + cursor.execute( + ("SELECT PublishFreeze.Name, PublishFreeze.FullName " + "FROM PublishFreeze, InbredSet " + "WHERE InbredSet.Name = %s AND " + "PublishFreeze.InbredSetId = InbredSet.Id " + "ORDER BY PublishFreeze.CreateTime ASC"), (group,)) + result = cursor.fetchone() + dataset_id = "None" + dataset_value = str(result[0]) + dataset_text = str(result[1]) + datasets.append([dataset_id, dataset_value, dataset_text]) + + elif type_name == "Genotypes": + cursor.execute( + ("SELECT InfoFiles.GN_AccesionId " + "FROM InfoFiles, GenoFreeze, InbredSet " + "WHERE InbredSet.Name = %s AND " + "GenoFreeze.InbredSetId = InbredSet.Id AND " + "InfoFiles.InfoPageName = GenoFreeze.ShortName " + "ORDER BY GenoFreeze.CreateTime " + "DESC"), (group,)) + results = cursor.fetchone() + dataset_id = "None" + if bool(results): + dataset_id = str(results[0]) + + dataset_value = f"{group}Geno" + dataset_text = f"{group} Genotypes" + datasets.append([dataset_id, dataset_value, dataset_text]) + + else: # for mRNA expression/ProbeSet + cursor.execute( + ("SELECT ProbeSetFreeze.Id, ProbeSetFreeze.Name, " + "ProbeSetFreeze.FullName FROM ProbeSetFreeze, " + "ProbeFreeze, InbredSet, Tissue, Species WHERE " + "Species.Name = %s AND Species.Id = " + "InbredSet.SpeciesId AND InbredSet.Name = %s " + "AND ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id " + "AND Tissue.Name = %s AND ProbeFreeze.TissueId = " + "Tissue.Id AND ProbeFreeze.InbredSetId = InbredSet.Id " + "AND ProbeSetFreeze.public > 0 " + "ORDER BY -ProbeSetFreeze.OrderList DESC, " + "ProbeSetFreeze.CreateTime " + "DESC"), (species, group, type_name)) + results = cursor.fetchall() + datasets = [] + for dataset_info in results: + this_dataset_info = [] + for info in dataset_info: + this_dataset_info.append(str(info)) + datasets.append(this_dataset_info) + + return datasets |