Django-Haystack-Elastisearch "text" field is empty - django

Question

After running an index_update command I get the following message:
Indexing 452 quorum_ sensings
indexed 1 - 452 of 452 (by 4672)
This is good as there are 452 rows of data in the database. However, when I check the data fields all the data fields contain data except for the "text" field. Hence, I cannot search the database using Haystack.
What would cause the "text' field to be empty? Would, textfields in the database cause this? Any help would be much appreciated!
Here is some of my code:
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 }}