Spaces:
Sleeping
Sleeping
File size: 10,265 Bytes
23654e5 19ce9e8 23654e5 71797a4 23654e5 71797a4 23654e5 71797a4 23654e5 71797a4 23654e5 71797a4 23654e5 71797a4 23654e5 1377fb1 23654e5 19ce9e8 71797a4 19ce9e8 71797a4 19ce9e8 00aacad 19ce9e8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 |
from app import db
from datetime import datetime
import json
class Token(db.Model):
__tablename__ = 'tokens'
id = db.Column(db.Integer, primary_key=True)
token = db.Column(db.String(50), unique=True, nullable=False)
type = db.Column(db.String(20), nullable=False) # admin, government, community, industry, ngo, academic, other
name = db.Column(db.String(100), nullable=False)
created_at = db.Column(db.DateTime, default=datetime.utcnow)
def to_dict(self):
return {
'id': self.id,
'token': self.token,
'type': self.type,
'name': self.name,
'created_at': self.created_at.isoformat() if self.created_at else None
}
class Submission(db.Model):
__tablename__ = 'submissions'
id = db.Column(db.Integer, primary_key=True)
message = db.Column(db.Text, nullable=False)
contributor_type = db.Column(db.String(20), nullable=False)
latitude = db.Column(db.Float, nullable=True)
longitude = db.Column(db.Float, nullable=True)
timestamp = db.Column(db.DateTime, default=datetime.utcnow)
category = db.Column(db.String(50), nullable=True) # Vision, Problem, Objectives, Directives, Values, Actions (backward compat)
flagged_as_offensive = db.Column(db.Boolean, default=False)
sentence_analysis_done = db.Column(db.Boolean, default=False) # NEW: Track if sentence-level analysis is complete
def get_primary_category(self):
"""Get most frequent category from sentences (or fallback to old category)"""
if not self.sentences or len(self.sentences) == 0:
return self.category # Fallback to old system
from collections import Counter
categories = [s.category for s in self.sentences if s.category]
if not categories:
return None
return Counter(categories).most_common(1)[0][0]
def get_category_distribution(self):
"""Get percentage of each category in this submission"""
if not self.sentences or len(self.sentences) == 0:
return {self.category: 100.0} if self.category else {}
from collections import Counter
categories = [s.category for s in self.sentences if s.category]
total = len(categories)
if total == 0:
return {}
counts = Counter(categories)
return {cat: round((count/total)*100, 1) for cat, count in counts.items()}
def to_dict(self):
"""Convert to dictionary with sentence-level support"""
base_dict = {
'id': self.id,
'message': self.message,
'contributorType': self.contributor_type,
'location': {
'lat': self.latitude,
'lng': self.longitude
} if self.latitude and self.longitude else None,
'timestamp': self.timestamp.isoformat() if self.timestamp else None,
'category': self.get_primary_category() if self.sentence_analysis_done else self.category,
'flaggedAsOffensive': self.flagged_as_offensive,
'sentenceAnalysisDone': self.sentence_analysis_done
}
# Add sentence-level data if available
if self.sentence_analysis_done and self.sentences:
base_dict['sentences'] = [s.to_dict() for s in self.sentences]
base_dict['categoryDistribution'] = self.get_category_distribution()
return base_dict
class SubmissionSentence(db.Model):
"""Stores individual sentences from submissions with their categories"""
__tablename__ = 'submission_sentences'
id = db.Column(db.Integer, primary_key=True)
submission_id = db.Column(db.Integer, db.ForeignKey('submissions.id'), nullable=False)
sentence_index = db.Column(db.Integer, nullable=False) # 0, 1, 2...
text = db.Column(db.Text, nullable=False)
category = db.Column(db.String(50), nullable=True)
confidence = db.Column(db.Float, nullable=True)
created_at = db.Column(db.DateTime, default=datetime.utcnow)
# Relationships
submission = db.relationship('Submission', backref='sentences')
# Composite unique constraint
__table_args__ = (
db.UniqueConstraint('submission_id', 'sentence_index', name='uq_submission_sentence'),
)
def to_dict(self):
return {
'id': self.id,
'submission_id': self.submission_id,
'sentence_index': self.sentence_index,
'text': self.text,
'category': self.category,
'confidence': self.confidence,
'created_at': self.created_at.isoformat() if self.created_at else None
}
class Settings(db.Model):
__tablename__ = 'settings'
id = db.Column(db.Integer, primary_key=True)
key = db.Column(db.String(50), unique=True, nullable=False)
value = db.Column(db.String(100), nullable=False) # Increased to support model IDs
@staticmethod
def get_setting(key, default='true'):
setting = Settings.query.filter_by(key=key).first()
return setting.value if setting else default
@staticmethod
def set_setting(key, value):
setting = Settings.query.filter_by(key=key).first()
if setting:
setting.value = value
else:
setting = Settings(key=key, value=value)
db.session.add(setting)
db.session.commit()
class TrainingExample(db.Model):
"""Stores admin corrections for model fine-tuning"""
__tablename__ = 'training_examples'
id = db.Column(db.Integer, primary_key=True)
submission_id = db.Column(db.Integer, db.ForeignKey('submissions.id'), nullable=True) # Made nullable for sentence-level
sentence_id = db.Column(db.Integer, db.ForeignKey('submission_sentences.id'), nullable=True) # NEW: Link to sentence
message = db.Column(db.Text, nullable=False) # Snapshot of submission/sentence text
original_category = db.Column(db.String(50), nullable=True) # AI's prediction
corrected_category = db.Column(db.String(50), nullable=False) # Admin's correction
contributor_type = db.Column(db.String(20), nullable=False)
correction_timestamp = db.Column(db.DateTime, default=datetime.utcnow)
confidence_score = db.Column(db.Float, nullable=True) # Original prediction confidence
used_in_training = db.Column(db.Boolean, default=False)
training_run_id = db.Column(db.Integer, db.ForeignKey('fine_tuning_runs.id'), nullable=True)
# Relationships
submission = db.relationship('Submission', backref='training_examples')
sentence = db.relationship('SubmissionSentence', backref='training_examples')
training_run = db.relationship('FineTuningRun', backref='training_examples')
def to_dict(self):
return {
'id': self.id,
'submission_id': self.submission_id,
'message': self.message,
'original_category': self.original_category,
'corrected_category': self.corrected_category,
'contributor_type': self.contributor_type,
'correction_timestamp': self.correction_timestamp.isoformat() if self.correction_timestamp else None,
'confidence_score': self.confidence_score,
'used_in_training': self.used_in_training,
'training_run_id': self.training_run_id,
'is_correction': self.original_category != self.corrected_category if self.original_category else False
}
class FineTuningRun(db.Model):
"""Tracks fine-tuning training runs and their results"""
__tablename__ = 'fine_tuning_runs'
id = db.Column(db.Integer, primary_key=True)
created_at = db.Column(db.DateTime, default=datetime.utcnow)
status = db.Column(db.String(20), default='preparing') # preparing, training, evaluating, completed, failed
num_training_examples = db.Column(db.Integer, nullable=True)
num_validation_examples = db.Column(db.Integer, nullable=True)
num_test_examples = db.Column(db.Integer, nullable=True)
training_config = db.Column(db.Text, nullable=True) # JSON string
results = db.Column(db.Text, nullable=True) # JSON string with metrics
model_path = db.Column(db.String(255), nullable=True)
is_active_model = db.Column(db.Boolean, default=False)
improvement_over_baseline = db.Column(db.Float, nullable=True)
completed_at = db.Column(db.DateTime, nullable=True)
error_message = db.Column(db.Text, nullable=True)
# Progress tracking
current_epoch = db.Column(db.Integer, default=0)
total_epochs = db.Column(db.Integer, nullable=True)
current_step = db.Column(db.Integer, default=0)
total_steps = db.Column(db.Integer, nullable=True)
current_loss = db.Column(db.Float, nullable=True)
progress_message = db.Column(db.String(255), nullable=True)
def to_dict(self):
return {
'id': self.id,
'created_at': self.created_at.isoformat() if self.created_at else None,
'status': self.status,
'num_training_examples': self.num_training_examples,
'num_validation_examples': self.num_validation_examples,
'num_test_examples': self.num_test_examples,
'training_config': json.loads(self.training_config) if self.training_config else None,
'results': json.loads(self.results) if self.results else None,
'model_path': self.model_path,
'is_active_model': self.is_active_model,
'improvement_over_baseline': self.improvement_over_baseline,
'completed_at': self.completed_at.isoformat() if self.completed_at else None,
'error_message': self.error_message
}
def set_config(self, config_dict):
"""Set training config from dict"""
self.training_config = json.dumps(config_dict)
def get_config(self):
"""Get training config as dict"""
return json.loads(self.training_config) if self.training_config else {}
def set_results(self, results_dict):
"""Set results from dict"""
self.results = json.dumps(results_dict)
def get_results(self):
"""Get results as dict"""
return json.loads(self.results) if self.results else {}
|