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ShudarshanKongkhamShudarshanKongkham
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Fix ClearML model deployment API and GitHub Actions indentation
1 parent 1c6de51 commit 83e1f4a

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-54
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2 files changed

+64
-54
lines changed

‎.github/workflows/guardian-pipeline-aws.yml‎

Lines changed: 41 additions & 42 deletions
Original file line numberDiff line numberDiff line change
@@ -116,69 +116,68 @@ jobs:
116116
run: |
117117
echo "🚀 Checking model deployment status..."
118118
119-
python -c "
119+
python3 << 'EOF'
120120
from clearml import Model
121121
import sys
122122
123123
try:
124124
print('🔍 Searching for deployed models...')
125125
126-
# Check for deployed models directly
127-
models = Model.query_models(
126+
# First check for any published models
127+
all_models = Model.query_models(
128128
project_name='Guardian_Training',
129-
tags=['deployed', 'production', 'github-actions'],
129+
model_name='BiLSTM_ActionRecognition',
130130
only_published=True,
131-
max_results=1,
131+
max_results=5,
132132
order_by=['-created']
133133
)
134134
135-
if not models:
136-
print('❌ No deployed models found with deployment tags')
135+
print(f'📋 Found {len(all_models)} published models')
136+
137+
deployed_model = None
138+
for model in all_models:
139+
print(f' Model ID: {model.id}')
140+
print(f' Created: {model.created}')
141+
print(f' Tags: {model.tags}')
137142
138-
# Try to find any recent models
139-
print('🔍 Searching for any recent models...')
140-
recent_models = Model.query_models(
141-
project_name='Guardian_Training',
142-
model_name='BiLSTM_ActionRecognition',
143-
max_results=3,
144-
order_by=['-created']
145-
)
143+
# Check if this model has deployment tags
144+
if model.tags and any(tag in ['deployed', 'production'] for tag in model.tags):
145+
deployed_model = model
146+
break
147+
148+
if deployed_model:
149+
print(f'✅ Found deployed model!')
150+
print(f'🏷️ Model ID: {deployed_model.id}')
151+
print(f'📅 Created: {deployed_model.created}')
152+
print(f'🏷️ Tags: {deployed_model.tags}')
146153
147-
if recent_models:
148-
print(f'📋 Found {len(recent_models)} recent models:')
149-
for i, m in enumerate(recent_models):
150-
print(f' {i+1}. Model ID: {m.id}')
151-
print(f' Created: {m.created}')
152-
print(f' Published: {m.published}')
153-
print(f' Tags: {m.tags}')
154+
# Try to get model metadata
155+
try:
156+
design = deployed_model.get_model_design()
157+
if design and 'test_accuracy' in design:
158+
accuracy = design['test_accuracy']
159+
print(f'📊 Test Accuracy: {accuracy:.2f}%')
160+
else:
161+
print('📊 Test Accuracy: Not available in model metadata')
162+
except Exception as e:
163+
print(f'⚠️ Could not get model design: {e}')
164+
else:
165+
print('❌ No deployed models found')
166+
if all_models:
167+
print('⚠️ Found published models but none are marked as deployed')
168+
latest = all_models[0]
169+
print(f' Latest model: {latest.id}')
170+
print(f' Created: {latest.created}')
154171
else:
155-
print('❌ No models found at all')
156-
172+
print('❌ No published models found at all')
157173
sys.exit(1)
158-
159-
model = models[0]
160-
print(f'✅ Found deployed model!')
161-
print(f'🏷️ Model ID: {model.id}')
162-
print(f'📅 Created: {model.created}')
163-
print(f'🏷️ Tags: {model.tags}')
164-
165-
# Get model metadata for accuracy
166-
try:
167-
design = model.get_model_design()
168-
if design and 'test_accuracy' in design:
169-
accuracy = design['test_accuracy']
170-
print(f'📊 Test Accuracy: {accuracy:.2f}%')
171-
else:
172-
print('📊 Test Accuracy: Not available in model metadata')
173-
except Exception as e:
174-
print(f'⚠️ Could not get model design: {e}')
175174
176175
except Exception as e:
177176
print(f'❌ Error checking deployment: {e}')
178177
import traceback
179178
traceback.print_exc()
180179
sys.exit(1)
181-
"
180+
EOF
182181
183182
- name: Notify deployment success
184183
if: success()

‎Guardian_pipeline_github.py‎

Lines changed: 23 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -913,7 +913,7 @@ def bilstm_hyperparam_optimizer_github(
913913
dataset_path: str,
914914
input_size: int,
915915
num_classes: int,
916-
total_max_trials: int = 30
916+
total_max_trials: int = 15
917917
):
918918
"""
919919
Hyperparameter optimization for GitHub Actions with 30 trials.
@@ -1475,19 +1475,30 @@ def deploy_model_github(
14751475
model.publish()
14761476
print(f"📤 Model published successfully")
14771477

1478-
# Add deployment tags
1479-
model.add_tags(["deployed", "production", "github-actions"])
1480-
print(f"🏷️ Added deployment tags")
1478+
# Add deployment tags using the correct API
1479+
try:
1480+
# Try the correct method for adding tags
1481+
current_tags = model.tags or []
1482+
new_tags = list(set(current_tags + ["deployed", "production", "github-actions"]))
1483+
model.edit(tags=new_tags)
1484+
print(f"🏷️ Added deployment tags: {new_tags}")
1485+
except Exception as tag_error:
1486+
print(f"⚠️ Could not add tags: {tag_error}")
1487+
# Continue anyway - tags are not critical
14811488

14821489
# Update model metadata
1483-
model.update_design(config_dict={
1484-
"deployment_status": "deployed",
1485-
"test_accuracy": test_accuracy,
1486-
"deployment_date": str(task.created),
1487-
"deployment_threshold": min_accuracy_threshold,
1488-
"deployed_by": "GitHub Actions"
1489-
})
1490-
print(f"📋 Updated model metadata")
1490+
try:
1491+
model.update_design(config_dict={
1492+
"deployment_status": "deployed",
1493+
"test_accuracy": test_accuracy,
1494+
"deployment_date": str(task.created),
1495+
"deployment_threshold": min_accuracy_threshold,
1496+
"deployed_by": "GitHub Actions"
1497+
})
1498+
print(f"📋 Updated model metadata")
1499+
except Exception as metadata_error:
1500+
print(f"⚠️ Could not update metadata: {metadata_error}")
1501+
# Continue anyway - metadata is not critical
14911502

14921503
logger.report_scalar("Deployment", "Status", 1, 0) # 1 = deployed
14931504
logger.report_scalar("Deployment", "Test_Accuracy", test_accuracy, 0)

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