运行index_update命令后,我收到以下消息:
索引452法定人数感觉 索引1 - 452 of 452(by 4672)
这很好,因为数据库中有452行数据。但是,当我检查数据字段时,所有数据字段都包含除" text"之外的数据。领域。因此,我无法使用Haystack搜索数据库。
什么会导致"文字'字段是空的?那么,数据库中的文本字段会导致这种情况吗?任何帮助将不胜感激!
以下是我的一些代码:
search-indexes.py
from bacterial.models import Quorum_Sensing
from haystack import indexes
class Quorum_SensingIndex(indexes.SearchIndex, indexes.Indexable):
text = indexes.CharField(document=True, use_template=True, template_name='quorum_sensing_text.txt')
Category_Inducer_Molecule = indexes.CharField(model_attr='Category_Inducer_Molecule', faceted=True)
Inducer_Name_Synonym_Abbreviation = indexes.CharField(model_attr='Inducer_Name_Synonym_Abbreviation', faceted=True)
Amino_Acid_Sequence_Inducer = indexes.CharField(model_attr='Amino_Acid_Sequence_Inducer', faceted=True)
Organism_Involved = indexes.CharField(model_attr='Organism_Involved', faceted=True)
Target_Protein = indexes.CharField(model_attr='Target_Protein', faceted=True)
Broad_Functional_Category_Target_Molecule = indexes.CharField(model_attr='Broad_Functional_Category_Target_Molecule',faceted=True)
def get_model(self):
return Quorum_Sensing
def index_queryset(self, using=None):
return self.get_model().objects.all()
models.py
class Quorum_Sensing(models.Model):
IUAPAC_NAME = models.CharField(max_length=400)
Inducer_Molecule = models.CharField(max_length=100)
Category_Inducer_Molecule = models.CharField(max_length=40)
Inducer_Name_Synonym_Abbreviation = models.TextField()
Chemical_Nature_Inducer_Molecule = models.CharField(max_length=40)
Natural_Synthetic = models.CharField(max_length=120)
Pubchem_Link_Inducer_Molecules = models.URLField()
Mass_Inducer_Molecule = models.CharField(max_length=50)
Number_Amino_Acids_In_Inducer_Molecule = models.CharField(max_length=60)
IUPAC_Chemical_ID = models.CharField(max_length=60)
QuorumPep_Link = models.URLField()
Amino_Acid_Sequence_Inducer = models.CharField (max_length=300)
SMILES = models.CharField(max_length=250)
Organism_Involved = models.CharField (max_length=200)
Strain1 = models.CharField(max_length=120)
Strain2 = models.CharField(max_length=120)
Strain3 = models.CharField(max_length=120)
Strain4 = models.CharField(max_length=120)
Strain5 = models.CharField(max_length=120)
Taxonomy_Link = models.URLField()
Pathogenic_Or_Not = models.CharField(max_length=120)
Host = models.CharField(max_length=120)
Target_Protein = models.CharField (max_length=160)
Target_Protein_Length = models.CharField (max_length=40)
Gene_Name = models.CharField(max_length=60)
Broad_Functional_Category_Target_Molecule = models.CharField(max_length=300)
GI = models.CharField(max_length=30)
NCBI_Link_Target_Molecule = models.URLField(max_length=400)
Mode_Of_Action = models.TextField()
UNIPROT_Link_Target_Molecule = models.URLField()
EMBL_Link_Target_Molecule = models.URLField()
Related_Citations = models.URLField(max_length=400)
Annotator = models.EmailField()
quorum_sensing_text.txt
{{ object.text }}
{{ object.Inducer_Name_Synonym_Abbreviation }}
{{ object.Category_Inducer_Molecule }}
{{ object.Amino_Acid_Sequence_Inducer }}
{{ object.Organism_Involved }}
{{ object.Target_Protein }}
{{ object.Broad_Functional_Category_Target_Molecule }}