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-rw-r--r--wqflask/wqflask/gsearch.py166
-rw-r--r--[-rwxr-xr-x]wqflask/wqflask/search_results.py136
-rwxr-xr-xwqflask/wqflask/templates/gsearch_gene.html32
-rw-r--r--wqflask/wqflask/views.py4
4 files changed, 123 insertions, 215 deletions
diff --git a/wqflask/wqflask/gsearch.py b/wqflask/wqflask/gsearch.py
index 4f9dc316..4cd3874c 100644
--- a/wqflask/wqflask/gsearch.py
+++ b/wqflask/wqflask/gsearch.py
@@ -1,94 +1,94 @@
from __future__ import absolute_import, print_function, division
from flask import Flask, g
-#from base.data_set import create_dataset
-#from base.trait import GeneralTrait
-#from dbFunction import webqtlDatabaseFunction
+from base.data_set import create_dataset
+from base.trait import GeneralTrait
+from dbFunction import webqtlDatabaseFunction
-#from utility.benchmark import Bench
+from utility.benchmark import Bench
class GSearch(object):
def __init__(self, kw):
self.type = kw['type']
self.terms = kw['terms']
- # if self.type == "gene":
- # sql = """
- # SELECT
- # Species.`Name` AS species_name,
- # InbredSet.`Name` AS inbredset_name,
- # Tissue.`Name` AS tissue_name,
- # ProbeSetFreeze.Name AS probesetfreeze_name,
- # ProbeSet.Name AS probeset_name,
- # ProbeSet.Symbol AS probeset_symbol,
- # ProbeSet.`description` AS probeset_description,
- # ProbeSet.Chr AS chr,
- # ProbeSet.Mb AS mb,
- # ProbeSetXRef.Mean AS mean,
- # ProbeSetXRef.LRS AS lrs,
- # ProbeSetXRef.`Locus` AS locus,
- # ProbeSetXRef.`pValue` AS pvalue,
- # ProbeSetXRef.`additive` AS additive
- # FROM Species, InbredSet, ProbeSetXRef, ProbeSet, ProbeFreeze, ProbeSetFreeze, Tissue
- # WHERE InbredSet.`SpeciesId`=Species.`Id`
- # AND ProbeFreeze.InbredSetId=InbredSet.`Id`
- # AND ProbeFreeze.`TissueId`=Tissue.`Id`
- # AND ProbeSetFreeze.ProbeFreezeId=ProbeFreeze.Id
- # AND ( MATCH (ProbeSet.Name,ProbeSet.description,ProbeSet.symbol,alias,GenbankId, UniGeneId, Probe_Target_Description) AGAINST ('%s' IN BOOLEAN MODE) )
- # AND ProbeSet.Id = ProbeSetXRef.ProbeSetId
- # AND ProbeSetXRef.ProbeSetFreezeId=ProbeSetFreeze.Id
- # AND ProbeSetFreeze.public > 0
- # ORDER BY species_name, inbredset_name, tissue_name, probesetfreeze_name, probeset_name
- # LIMIT 6000
- # """ % (self.terms)
- # with Bench("Running query"):
- # re = g.db.execute(sql).fetchall()
- # self.trait_list = []
- # with Bench("Creating trait objects"):
- # for line in re:
- # dataset = create_dataset(line[3], "ProbeSet", get_samplelist=False)
- # trait_id = line[4]
- # 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)
+ if self.type == "gene":
+ sql = """
+ SELECT
+ Species.`Name` AS species_name,
+ InbredSet.`Name` AS inbredset_name,
+ Tissue.`Name` AS tissue_name,
+ ProbeSetFreeze.Name AS probesetfreeze_name,
+ ProbeSet.Name AS probeset_name,
+ ProbeSet.Symbol AS probeset_symbol,
+ ProbeSet.`description` AS probeset_description,
+ ProbeSet.Chr AS chr,
+ ProbeSet.Mb AS mb,
+ ProbeSetXRef.Mean AS mean,
+ ProbeSetXRef.LRS AS lrs,
+ ProbeSetXRef.`Locus` AS locus,
+ ProbeSetXRef.`pValue` AS pvalue,
+ ProbeSetXRef.`additive` AS additive
+ FROM Species, InbredSet, ProbeSetXRef, ProbeSet, ProbeFreeze, ProbeSetFreeze, Tissue
+ WHERE InbredSet.`SpeciesId`=Species.`Id`
+ AND ProbeFreeze.InbredSetId=InbredSet.`Id`
+ AND ProbeFreeze.`TissueId`=Tissue.`Id`
+ AND ProbeSetFreeze.ProbeFreezeId=ProbeFreeze.Id
+ AND ( MATCH (ProbeSet.Name,ProbeSet.description,ProbeSet.symbol,alias,GenbankId, UniGeneId, Probe_Target_Description) AGAINST ('%s' IN BOOLEAN MODE) )
+ AND ProbeSet.Id = ProbeSetXRef.ProbeSetId
+ AND ProbeSetXRef.ProbeSetFreezeId=ProbeSetFreeze.Id
+ AND ProbeSetFreeze.public > 0
+ ORDER BY species_name, inbredset_name, tissue_name, probesetfreeze_name, probeset_name
+ LIMIT 6000
+ """ % (self.terms)
+ with Bench("Running query"):
+ re = g.db.execute(sql).fetchall()
+ self.trait_list = []
+ with Bench("Creating trait objects"):
+ for line in re:
+ dataset = create_dataset(line[3], "ProbeSet", get_samplelist=False)
+ trait_id = line[4]
+ #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)
- # elif self.type == "phenotype":
- # sql = """
- # SELECT
- # Species.`Name`,
- # InbredSet.`Name`,
- # PublishFreeze.`Name`,
- # PublishXRef.`Id`,
- # Phenotype.`Post_publication_description`,
- # Publication.`Authors`,
- # Publication.`Year`,
- # PublishXRef.`LRS`,
- # PublishXRef.`Locus`,
- # PublishXRef.`additive`
- # FROM Species,InbredSet,PublishFreeze,PublishXRef,Phenotype,Publication
- # WHERE PublishXRef.`InbredSetId`=InbredSet.`Id`
- # AND PublishFreeze.`InbredSetId`=InbredSet.`Id`
- # AND InbredSet.`SpeciesId`=Species.`Id`
- # AND PublishXRef.`PhenotypeId`=Phenotype.`Id`
- # AND PublishXRef.`PublicationId`=Publication.`Id`
- # AND (Phenotype.Post_publication_description REGEXP "[[:<:]]%s[[:>:]]"
- # OR Phenotype.Pre_publication_description REGEXP "[[:<:]]%s[[:>:]]"
- # OR Phenotype.Pre_publication_abbreviation REGEXP "[[:<:]]%s[[:>:]]"
- # OR Phenotype.Post_publication_abbreviation REGEXP "[[:<:]]%s[[:>:]]"
- # OR Phenotype.Lab_code REGEXP "[[:<:]]%s[[:>:]]"
- # OR Publication.PubMed_ID REGEXP "[[:<:]]%s[[:>:]]"
- # OR Publication.Abstract REGEXP "[[:<:]]%s[[:>:]]"
- # OR Publication.Title REGEXP "[[:<:]]%s[[:>:]]"
- # OR Publication.Authors REGEXP "[[:<:]]%s[[:>:]]"
- # OR PublishXRef.Id REGEXP "[[:<:]]%s[[:>:]]")
- # ORDER BY Species.`Name`, InbredSet.`Name`, PublishXRef.`Id`
- # LIMIT 6000
- # """ % (self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms)
- # re = g.db.execute(sql).fetchall()
- # self.trait_list = []
- # with Bench("Creating trait objects"):
- # for line in re:
- # dataset = create_dataset(line[2], "Publish")
- # trait_id = line[3]
- # this_trait = GeneralTrait(dataset=dataset, name=trait_id, get_qtl_info=True, get_sample_info=False)
- # self.trait_list.append(this_trait)
+ elif self.type == "phenotype":
+ sql = """
+ SELECT
+ Species.`Name`,
+ InbredSet.`Name`,
+ PublishFreeze.`Name`,
+ PublishXRef.`Id`,
+ Phenotype.`Post_publication_description`,
+ Publication.`Authors`,
+ Publication.`Year`,
+ PublishXRef.`LRS`,
+ PublishXRef.`Locus`,
+ PublishXRef.`additive`
+ FROM Species,InbredSet,PublishFreeze,PublishXRef,Phenotype,Publication
+ WHERE PublishXRef.`InbredSetId`=InbredSet.`Id`
+ AND PublishFreeze.`InbredSetId`=InbredSet.`Id`
+ AND InbredSet.`SpeciesId`=Species.`Id`
+ AND PublishXRef.`PhenotypeId`=Phenotype.`Id`
+ AND PublishXRef.`PublicationId`=Publication.`Id`
+ AND (Phenotype.Post_publication_description REGEXP "[[:<:]]%s[[:>:]]"
+ OR Phenotype.Pre_publication_description REGEXP "[[:<:]]%s[[:>:]]"
+ OR Phenotype.Pre_publication_abbreviation REGEXP "[[:<:]]%s[[:>:]]"
+ OR Phenotype.Post_publication_abbreviation REGEXP "[[:<:]]%s[[:>:]]"
+ OR Phenotype.Lab_code REGEXP "[[:<:]]%s[[:>:]]"
+ OR Publication.PubMed_ID REGEXP "[[:<:]]%s[[:>:]]"
+ OR Publication.Abstract REGEXP "[[:<:]]%s[[:>:]]"
+ OR Publication.Title REGEXP "[[:<:]]%s[[:>:]]"
+ OR Publication.Authors REGEXP "[[:<:]]%s[[:>:]]"
+ OR PublishXRef.Id REGEXP "[[:<:]]%s[[:>:]]")
+ ORDER BY Species.`Name`, InbredSet.`Name`, PublishXRef.`Id`
+ LIMIT 6000
+ """ % (self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms)
+ re = g.db.execute(sql).fetchall()
+ self.trait_list = []
+ with Bench("Creating trait objects"):
+ for line in re:
+ dataset = create_dataset(line[2], "Publish")
+ trait_id = line[3]
+ this_trait = GeneralTrait(dataset=dataset, name=trait_id, get_qtl_info=True, get_sample_info=False)
+ self.trait_list.append(this_trait)
diff --git a/wqflask/wqflask/search_results.py b/wqflask/wqflask/search_results.py
index 9941a4d3..8a0485b3 100755..100644
--- a/wqflask/wqflask/search_results.py
+++ b/wqflask/wqflask/search_results.py
@@ -63,40 +63,29 @@ class SearchResultPage(object):
# self.dataset_group_ids = map(lambda x: x[2], results)
#else:
- self.quick = False
-
self.uc_id = uuid.uuid4()
print("uc_id:", self.uc_id)
- if 'q' in kw:
- self.results = {}
- self.quick = True
- self.search_terms = kw['q']
- print("self.search_terms is: ", self.search_terms)
- self.trait_type = kw['trait_type']
- self.quick_search()
+ print("kw is:", kw)
+ if kw['search_terms_or']:
+ self.and_or = "or"
+ self.search_terms = kw['search_terms_or']
else:
- print("kw is:", kw)
- if kw['search_terms_or']:
- self.and_or = "or"
- self.search_terms = kw['search_terms_or']
- else:
- self.and_or = "and"
- self.search_terms = kw['search_terms_and']
- self.search_term_exists = True
- self.results = []
- if kw['type'] == "Phenotypes":
- dataset_type = "Publish"
- elif kw['type'] == "Genotypes":
- dataset_type = "Geno"
- else:
- dataset_type = "ProbeSet"
- self.dataset = create_dataset(kw['dataset'], dataset_type)
- print("KEYWORD:", self.search_terms)
- self.search()
- if self.search_term_exists:
- self.gen_search_result()
-
+ self.and_or = "and"
+ self.search_terms = kw['search_terms_and']
+ self.search_term_exists = True
+ self.results = []
+ if kw['type'] == "Phenotypes":
+ dataset_type = "Publish"
+ elif kw['type'] == "Genotypes":
+ dataset_type = "Geno"
+ else:
+ dataset_type = "ProbeSet"
+ self.dataset = create_dataset(kw['dataset'], dataset_type)
+ print("KEYWORD:", self.search_terms)
+ self.search()
+ if self.search_term_exists:
+ self.gen_search_result()
def gen_search_result(self):
@@ -124,56 +113,6 @@ class SearchResultPage(object):
self.trait_list.append(this_trait)
self.dataset.get_trait_info(self.trait_list, species)
-
- def quick_search(self):
- #search_terms = ""
- #for term in self.search_terms.split():
- # search_terms += '+{} '.format(term)
-
- search_terms = ' '.join('+{}'.format(escape(term)) for term in self.search_terms.split())
- print("search_terms are:", search_terms)
-
- query = """ SELECT table_name, the_key, result_fields
- FROM QuickSearch
- WHERE MATCH (terms)
- AGAINST ('{}' IN BOOLEAN MODE) """.format(search_terms)
-
- with Bench("Doing QuickSearch Query: "):
- dbresults = g.db.execute(query, no_parameters=True).fetchall()
- #print("results: ", pf(results))
-
- self.results = collections.defaultdict(list)
-
- type_dict = {'PublishXRef': 'phenotype',
- 'ProbeSetXRef': 'mrna_assay',
- 'GenoXRef': 'genotype'}
-
- self.species_groups = {}
-
- for dbresult in dbresults:
- this_result = {}
- this_result['table_name'] = dbresult.table_name
- if self.trait_type == type_dict[dbresult.table_name] or self.trait_type == 'all':
- this_result['key'] = dbresult.the_key
- this_result['result_fields'] = json.loads(dbresult.result_fields)
- this_species = this_result['result_fields']['species']
- this_group = this_result['result_fields']['group_name']
- if this_species not in self.species_groups:
- self.species_groups[this_species] = {}
- if type_dict[dbresult.table_name] not in self.species_groups[this_species]:
- self.species_groups[this_species][type_dict[dbresult.table_name]] = []
- if this_group not in self.species_groups[this_species][type_dict[dbresult.table_name]]:
- self.species_groups[this_species][type_dict[dbresult.table_name]].append(this_group)
- #if type_dict[dbresult.table_name] not in self.species_groups:
- # self.species_groups[type_dict[dbresult.table_name]] = {}
- #if this_species not in self.species_groups[type_dict[dbresult.table_name]]:
- # self.species_groups[type_dict[dbresult.table_name]][this_species] = []
- #if this_group not in self.species_groups[type_dict[dbresult.table_name]][this_species]:
- # self.species_groups[type_dict[dbresult.table_name]][this_species].append(this_group)
- self.results[type_dict[dbresult.table_name]].append(this_result)
-
- import redis
- Redis = redis.Redis()
#def get_group_species_tree(self):
# self.species_groups = collections.default_dict(list)
@@ -183,43 +122,6 @@ class SearchResultPage(object):
# item['result_fields']['group_name'])
- #def quick_search(self):
- # self.search_terms = parser.parse(self.search_terms)
- #
- # search_types = ["quick_mrna_assay", "quick_phenotype"]
- #
- # for search_category in search_types:
- # these_results = []
- # search_ob = do_search.DoSearch.get_search(search_category)
- # search_class = getattr(do_search, search_ob)
- # for a_search in self.search_terms:
- # search_term = a_search['search_term']
- # the_search = search_class(search_term)
- # these_results.extend(the_search.run())
- # print("in the search results are:", self.results)
- # self.results[search_category] = these_results
- #
- # #for a_search in self.search_terms:
- # # search_term = a_search['search_term']
- # #
- # # #Do mRNA assay search
- # # search_ob = do_search.DoSearch.get_search("quick_mrna_assay")
- # # search_class = getattr(do_search, search_ob)
- # # the_search = search_class(search_term)
- # #
- # # self.results.extend(the_search.run())
- # # print("in the search results are:", self.results)
- #
- #
- # #return True
- #
- # #search_gene
- # #search_geno
- # #search_pheno
- # #search_mrn
- # #search_publish
-
-
def search(self):
self.search_terms = parser.parse(self.search_terms)
print("After parsing:", self.search_terms)
diff --git a/wqflask/wqflask/templates/gsearch_gene.html b/wqflask/wqflask/templates/gsearch_gene.html
index 92b0b411..37e26817 100755
--- a/wqflask/wqflask/templates/gsearch_gene.html
+++ b/wqflask/wqflask/templates/gsearch_gene.html
@@ -43,6 +43,25 @@
<th>Additive<br>Effect<a href="http://genenetwork.org/glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th>
</tr>
</thead>
+ <tbody>
+ {% for this_trait in trait_list %}
+ <tr id="trait:{{ this_trait.name }}:{{ this_trait.dataset.name }}">
+ <td><input type="checkbox" name="searchResult" class="checkbox trait_checkbox" style="transform: scale(1.5);" value="{{ data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset.name)) }}"></td>
+ <td>{{ loop.index }}</td>
+ <td>{{ this_trait.dataset.group.species }}</td>
+ <td>{{ this_trait.dataset.group.name }}</td>
+ <td>{{ this_trait.dataset.tissue }}</td>
+ <td>{{ this_trait.dataset.name }}</td>
+ <td><a href="{{ url_for('show_trait_page', trait_id = this_trait.name, dataset = this_trait.dataset.name)}}">{{ this_trait.name }}</a></td>
+ <td>{{ this_trait.symbol }}</td>
+ <td>{{ this_trait.description_display }}</td>
+ <td>{{ this_trait.location_repr }}</td>
+ <td>{{ this_trait.mean }}</td>
+ <td>{{ this_trait.LRS_score_repr }}</td>
+ <td>{{ this_trait.LRS_location_repr }}</td>
+ <td>{{ this_trait.additive }}</td>
+ </tr>
+ {% endfor %}
</table>
</div>
</div>
@@ -135,18 +154,7 @@
console.time("Creating table");
$('#trait_table').DataTable( {
- "processing": true,
- "serverSide": true,
"paging": false,
- "ajax": {
- "url": "/gsearch_updating?terms={{ terms }}&type={{ type }}",
- "type": "POST",
- "dataType": "json",
- "contentType": "application/json; charset=utf-8",
- "data": function ( args ) {
- return { "args": JSON.stringify( args ) };
- }
- },
"buttons": [
{
extend: 'csvHtml5',
@@ -174,7 +182,7 @@
{ "data": "max_lrs_location", "orderable" : true },
{ "data": "additive_effect", "orderable" : true }
],
- "sDom": "Bfrti",
+ "sDom": "RZBtir",
"autoWidth": false,
"scrollY": "800px",
"bDeferRender": true
diff --git a/wqflask/wqflask/views.py b/wqflask/wqflask/views.py
index 7854b0df..b7fcfa1d 100644
--- a/wqflask/wqflask/views.py
+++ b/wqflask/wqflask/views.py
@@ -155,9 +155,7 @@ def search_page():
Redis.set(key, pickle.dumps(result, pickle.HIGHEST_PROTOCOL))
Redis.expire(key, 60*60)
- if result['quick']:
- return render_template("quick_search.html", **result)
- elif result['search_term_exists']:
+ if result['search_term_exists']:
return render_template("search_result_page.html", **result)
else:
return render_template("search_error.html")