-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathbuilder-app.py
237 lines (195 loc) · 8.21 KB
/
builder-app.py
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
236
237
import shutil
from pathlib import Path
import mlflow.sklearn
from mlflow.client import MlflowClient
from mlflow.tracking.request_header.registry import _request_header_provider_registry
import os
import mlflow
import threading
# Create a Dockerfile
import string
from domino_api_key_header_provider import DominoApiKeyRequestHeaderProvider
from domino_execution_header_provider import DominoExecutionRequestHeaderProvider
from quart import Quart, request, jsonify
app = Quart(__name__)
import subprocess
import os
DOMINO_API_KEY = "DOMINO_API_KEY"
DOMINO_RUN_ID = "DOMINO_RUN_ID"
REGISTRY_USER = "REGISTRY_USER"
REGISTRY_TOKEN = "REGISTRY_TOKEN"
REGISTRY_URL = "REGISTRY_URL"
lock = threading.Lock()
def set_mlflow_tracking_uri():
mlflow_tracking_uri = os.getenv("MLFLOW_TRACKING_URI")
if not mlflow_tracking_uri:
print("MLFLOW_TRACKING_URI environment variable must be set.")
exit(1)
mlflow.set_tracking_uri(mlflow_tracking_uri)
def register_domino_api_key_request_header_provider():
if not os.getenv("DOMINO_USER_API_KEY"):
print("DOMINO_USER_API_KEY environment variable must be set.")
exit(1)
# Set X-Domino-Api-Key request header
#provider_name = DominoApiKeyRequestHeaderProvider()
'''
if provider_name in _request_header_provider_registry._registry:
del _request_header_provider_registry._registry[provider_name]
print(f"Provider '{provider_name}' unregistered successfully.")
else:
print(f"Provider '{provider_name}' not found in the registry.")
'''
_request_header_provider_registry.register(DominoApiKeyRequestHeaderProvider)
def register_domino_execution_request_header_provider():
if not os.getenv("DOMINO_RUN_ID"):
print("DOMINO_RUN_ID environment variable must be set.")
exit(1)
# Set X-Domino-Execution request header
'''
provider_name = DominoExecutionRequestHeaderProvider()
if provider_name in _request_header_provider_registry._registry:
del _request_header_provider_registry._registry[provider_name]
print(f"Provider '{provider_name}' unregistered successfully.")
else:
print(f"Provider '{provider_name}' not found in the registry.")
'''
_request_header_provider_registry.register(DominoExecutionRequestHeaderProvider)
base_path = "/tmp/mlflow_models"
def predict(model_uri, features):
loaded_model = mlflow.pyfunc.load_model(model_uri)
return loaded_model.predict(features)
def create_file_from_template(template_string, context, output_file_path):
template = string.Template(template_string)
content = template.safe_substitute(context)
directory = os.path.dirname(output_file_path)
# Create the directory if it doesn't exist
if not os.path.exists(directory):
os.makedirs(directory)
with open(output_file_path, 'w') as file:
file.write(content)
def run_subprocess(command, working_dir):
out = ""
err = ""
try:
result = subprocess.run(command, cwd=working_dir, check=True, text=True, capture_output=True)
out = result.stdout
err = result.stderr
print("Command output:", result.stdout)
print("Command error (if any):", result.stderr)
except subprocess.CalledProcessError as e:
out = e.stdout
err = e.stderr
print(f"An error occurred: {e}")
print(f"Command output: {e.stdout}")
print(f"Command error: {e.stderr}")
return out,err
def download_and_build(mv, base_path):
client = MlflowClient()
run_id = mv.run_id
model_name = mv.name
model_version = mv.version
model_download_path = f'{base_path}/{model_name}/v{model_version}'
os.makedirs(model_download_path, exist_ok=True)
client.download_artifacts(run_id, f"", model_download_path)
os.listdir(model_download_path)
# Resolve files
context=mv.tags
context['model_name']=model_name
context['model_version']=model_version
'''
context = {
'model_name': model_name,
'model_version': model_version,
'model_download_folder': model_download_path,
'model_folder': mv.tags['MODEL_FOLDER'],
'model_client_folder': mv.tags['MODEL_CLIENT_FOLDER'],
'entry_point': mv.tags['MODEL_ENTRY_POINT'],
'command_line': mv.tags['MODEL_EXECUTE_PATH'],
}
'''
templates_folder = 'templates'
templates = []
if 'model_templates_folder' in context:
templates_folder = context['model_templates_folder']
templates_final_folder = f"{model_download_path}/{templates_folder}/"
files = Path(templates_final_folder).rglob('*.template')
for file_path in files:
fp = str(file_path)
t = fp.removeprefix(templates_final_folder)
templates.append(t)
for t in templates:
with open(f"{templates_final_folder}/{t}", 'r') as file:
content = file.read()
resolved_path = t.removesuffix(".template")
output_file = f"{model_download_path}/{resolved_path}"
create_file_from_template(content, context, output_file)
run_subprocess(["chmod","755","create_docker_image.sh"],working_dir=model_download_path)
print(model_download_path)
return run_subprocess(["sh","create_docker_image.sh"], working_dir=model_download_path)
def main(base_path,model_name,model_version):
client = MlflowClient()
mv = client.get_model_version(model_name, model_version)
o,e = download_and_build(mv, base_path)
return o,e
os.environ['MLFLOW_TRACKING_URI']='http://fake.com'
os.environ['DOMINO_USER_API_KEY']='fake'
os.environ['DOMINO_RUN_ID']='fake'
first_time = True
@app.route('/cleanup', methods=['POST'])
async def cleanup():
perform_cleanup()
def perform_cleanup():
home_dir = os.path.expanduser("~")
run_subprocess(["sh","dockercleanup.sh"], working_dir=home_dir)
@app.route('/build', methods=['POST'])
async def build():
global first_time
with lock:
data = await request.get_json()
print(data)
#if not data:
# return jsonify({"error": "No JSON payload found"}), 400
model_name = data.get('model_name')
model_version = data.get('model_version')
headers = request.headers
mlflow_tracking_uri = headers.get("MLFLOW_TRACKING_URI", "")
domino_run_id = headers.get("DOMINO_RUN_ID", "")
domino_api_key = headers.get("DOMINO_USER_API_KEY", "")
registry_url = headers.get("REGISTRY_URL","")
registry_user = headers.get("REGISTRY_USER", "")
registry_token = headers.get("REGISTRY_TOKEN", "")
if (not mlflow_tracking_uri or not domino_api_key or not domino_run_id
or not registry_token or not registry_url or not registry_user):
error = ("Must include MLFLOW_TRACKING_URI, DOMINO_USER_API_KEY,DOMINO_RUN_ID,"
"REGISTRY_URL, REGISTRY_USER, REGISTRY_TOKEN ")
return jsonify(model_name=model_name, model_version=model_version, stdout="", stderror=error)
os.environ["MLFLOW_TRACKING_URI"] = mlflow_tracking_uri
os.environ["DOMINO_RUN_ID"] = domino_run_id
os.environ["DOMINO_USER_API_KEY"] = domino_api_key
os.environ["REGISTRY_URL"] = registry_url
os.environ["REGISTRY_USER"] = registry_user
os.environ["REGISTRY_TOKEN"] = registry_token
#if first_time:
_request_header_provider_registry._registry.clear()
set_mlflow_tracking_uri()
register_domino_api_key_request_header_provider()
register_domino_execution_request_header_provider()
first_time = False
# End If
base_dir = "/tmp/output"
print(os.environ['MLFLOW_TRACKING_URI'])
final_dir = f"{base_dir}/{model_name}/v{model_version}"
os.makedirs("/tmp/output",exist_ok=True)
output,error = main(base_dir,model_name,model_version)
#shutil.rmtree(final_dir)
##Clean up here
print("Cleanup")
#perform_cleanup()
return jsonify(model_name=model_name, model_version=model_version,stdout=output, stderror = error)
@app.route('/healthz')
def healthz():
return "healthy"
if __name__ == '__main__':
home = os.environ['HOME']
port = os.getenv("SSL_PORT",8443)
app.run(host='0.0.0.0', port=int(port), certfile=f"{home}/app/cert.pem", keyfile=f"{home}/app/key.pem")