Spaces:
Sleeping
Sleeping
Refactor code to use class for api client
Browse files
fair.py
CHANGED
@@ -13,178 +13,166 @@ SERVER_ADRESS="https://faircompute.com:8000/api/v1"
|
|
13 |
DOCKER_IMAGE="faircompute/stable-diffusion:pytorch-1.13.1-cu116"
|
14 |
#DOCKER_IMAGE="sha256:e06453fe869556ea3e63572a935aed4261337b261fdf7bda370472b0587409a9"
|
15 |
|
16 |
-
|
17 |
-
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
-
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
|
30 |
-
raise Exception(f"Error! status: {response.status_code}")
|
31 |
-
return response
|
32 |
-
|
33 |
-
|
34 |
-
def put(url, token, data):
|
35 |
-
headers = {
|
36 |
-
'Content-Type': 'application/json',
|
37 |
-
'Authorization': f'Bearer {token}'
|
38 |
-
}
|
39 |
-
if not isinstance(data, str):
|
40 |
-
data = json.dumps(data)
|
41 |
-
response = requests.put(url, headers=headers, data=data)
|
42 |
-
|
43 |
-
if not response.ok and response.status_code != 206:
|
44 |
-
raise Exception(f"Error! status: {response.status_code}")
|
45 |
-
return response
|
46 |
-
|
47 |
-
|
48 |
-
def put_program(token, launcher: str, image: str, runtime: str, command: List[str]):
|
49 |
-
url = f"{SERVER_ADRESS}/programs"
|
50 |
-
data = {
|
51 |
-
launcher: {
|
52 |
-
"image": image,
|
53 |
-
"command": command,
|
54 |
-
"runtime": runtime
|
55 |
}
|
56 |
-
|
57 |
-
response = put(url=url, token=token, data=data)
|
58 |
|
59 |
-
|
|
|
60 |
|
|
|
61 |
|
62 |
-
def
|
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 |
-
def
|
89 |
-
|
90 |
-
|
|
|
|
|
|
|
91 |
|
92 |
-
|
93 |
|
|
|
94 |
|
95 |
-
def
|
96 |
-
|
|
|
|
|
97 |
|
98 |
-
|
|
|
|
|
99 |
|
100 |
-
|
101 |
|
|
|
|
|
|
|
|
|
102 |
|
103 |
-
def
|
104 |
-
|
105 |
-
|
106 |
-
|
107 |
-
for i in range(attempts):
|
108 |
-
url = f"{SERVER_ADRESS}/jobs/{job_id}/data/files/{path}"
|
109 |
-
print(f"Waiting for file {path}...")
|
110 |
-
try:
|
111 |
-
with requests.get(url=url, headers=headers, stream=True) as r:
|
112 |
-
r.raise_for_status()
|
113 |
-
f = tempfile.TemporaryFile()
|
114 |
-
for chunk in r.iter_content(chunk_size=8192):
|
115 |
-
f.write(chunk)
|
116 |
|
117 |
-
print(f"File {path} ready")
|
118 |
-
f.seek(0, 0)
|
119 |
-
return f
|
120 |
-
except Exception as e:
|
121 |
-
print(e)
|
122 |
-
time.sleep(0.5)
|
123 |
|
124 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
125 |
|
126 |
|
127 |
def text_to_image(text):
|
128 |
email = os.getenv('FAIRCOMPUTE_EMAIL')
|
129 |
password = os.environ.get('FAIRCOMPUTE_PASSWORD')
|
130 |
-
|
131 |
-
|
132 |
-
|
133 |
-
|
134 |
-
|
135 |
-
|
136 |
-
|
137 |
-
|
138 |
-
launcher="Docker",
|
139 |
-
image=DOCKER_IMAGE,
|
140 |
-
runtime="nvidia",
|
141 |
-
command=[])
|
142 |
logger.info(program_id)
|
143 |
|
144 |
-
job_id = put_job(
|
145 |
-
|
146 |
-
|
147 |
-
|
148 |
|
149 |
logger.info(job_id)
|
150 |
|
151 |
-
status = get_job_status(
|
152 |
-
job_id=job_id)
|
153 |
logger.info(status)
|
154 |
|
155 |
while status != "Processing" and status != "Completed":
|
156 |
-
status = get_job_status(
|
157 |
-
job_id=job_id)
|
158 |
logger.info(status)
|
159 |
time.sleep(0.5)
|
160 |
|
161 |
-
res = put_job_stream_data(
|
162 |
-
|
163 |
-
|
164 |
-
|
165 |
logger.info(res)
|
166 |
|
167 |
-
res = put_job_stream_eof(
|
168 |
-
|
169 |
-
|
170 |
logger.info(res)
|
171 |
|
172 |
-
status = get_job_status(
|
173 |
-
job_id=job_id)
|
174 |
logger.info(status)
|
175 |
|
176 |
while status == "Processing":
|
177 |
-
status = get_job_status(
|
178 |
-
|
179 |
logger.info(status)
|
180 |
time.sleep(0.5)
|
181 |
if status == "Completed":
|
182 |
logger.info("Done!")
|
183 |
else:
|
184 |
logger.info("Job Failed")
|
185 |
-
file = wait_for_file(
|
186 |
-
|
187 |
-
|
188 |
return file
|
189 |
|
190 |
|
|
|
13 |
DOCKER_IMAGE="faircompute/stable-diffusion:pytorch-1.13.1-cu116"
|
14 |
#DOCKER_IMAGE="sha256:e06453fe869556ea3e63572a935aed4261337b261fdf7bda370472b0587409a9"
|
15 |
|
16 |
+
class FairApiClient:
|
17 |
+
def __init__(self, server_address: str):
|
18 |
+
self.server_address = server_address
|
19 |
+
self.token = None
|
20 |
+
|
21 |
+
def authenticate(self, email: str, password: str):
|
22 |
+
url = f'{self.server_address}/auth/login'
|
23 |
+
json_obj = {"email": email, "password": password}
|
24 |
+
resp = requests.post(url, json=json_obj)
|
25 |
+
self.token = resp.json()["token"]
|
26 |
+
|
27 |
+
def get(self, url, **kwargs):
|
28 |
+
headers = {
|
29 |
+
'Authorization': f'Bearer {self.token}'
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
30 |
}
|
31 |
+
response = requests.get(url, headers=headers, **kwargs)
|
|
|
32 |
|
33 |
+
if not response.ok:
|
34 |
+
raise Exception(f"Error! status: {response.status_code}")
|
35 |
|
36 |
+
return response
|
37 |
|
38 |
+
def put(self, url, data):
|
39 |
+
headers = {
|
40 |
+
'Content-Type': 'application/json',
|
41 |
+
'Authorization': f'Bearer {self.token}'
|
42 |
+
}
|
43 |
+
if not isinstance(data, str):
|
44 |
+
data = json.dumps(data)
|
45 |
+
response = requests.put(url, headers=headers, data=data)
|
46 |
+
|
47 |
+
if not response.ok and response.status_code != 206:
|
48 |
+
raise Exception(f"Error! status: {response.status_code}")
|
49 |
+
|
50 |
+
return response
|
51 |
+
|
52 |
+
def put_program(self, launcher: str, image: str, runtime: str, command: List[str]):
|
53 |
+
url = f"{self.server_address}/programs"
|
54 |
+
data = {
|
55 |
+
launcher: {
|
56 |
+
"image": image,
|
57 |
+
"command": command,
|
58 |
+
"runtime": runtime
|
59 |
+
}
|
60 |
+
}
|
61 |
+
response = self.put(url=url, data=data)
|
62 |
|
63 |
+
return int(response.text)
|
64 |
|
65 |
+
def put_job(self, program_id, input_files, output_files):
|
66 |
+
url = f"{self.server_address}/jobs?program={program_id}"
|
67 |
+
data = {
|
68 |
+
'input_files': input_files,
|
69 |
+
'output_files': output_files
|
70 |
+
}
|
71 |
|
72 |
+
response = self.put(url=url, data=data)
|
73 |
|
74 |
+
return int(response.text)
|
75 |
|
76 |
+
def get_job_status(self, job_id):
|
77 |
+
url = f"{self.server_address}/jobs/{job_id}/status"
|
78 |
+
response = self.get(url=url)
|
79 |
+
return response.text
|
80 |
|
81 |
+
def get_cluster_summary(self):
|
82 |
+
url = f"{self.server_address}/nodes/summary"
|
83 |
+
response = self.get(url=url)
|
84 |
|
85 |
+
return response.json()
|
86 |
|
87 |
+
def put_job_stream_data(self, job_id, name, data):
|
88 |
+
url = f"{self.server_address}/jobs/{job_id}/data/streams/{name}"
|
89 |
+
response = self.put(url=url, data=data)
|
90 |
+
return response.text
|
91 |
|
92 |
+
def put_job_stream_eof(self, job_id, name):
|
93 |
+
url = f"{self.server_address}/jobs/{job_id}/data/streams/{name}/eof"
|
94 |
+
response = self.put(url=url, data=None)
|
95 |
+
return response.text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
96 |
|
|
|
|
|
|
|
|
|
|
|
|
|
97 |
|
98 |
+
def wait_for_file(self, job_id, path, attempts=10) -> BinaryIO:
|
99 |
+
headers = {
|
100 |
+
'Authorization': f'Bearer {self.token}'
|
101 |
+
}
|
102 |
+
for i in range(attempts):
|
103 |
+
url = f"{self.server_address}/jobs/{job_id}/data/files/{path}"
|
104 |
+
print(f"Waiting for file {path}...")
|
105 |
+
try:
|
106 |
+
with requests.get(url=url, headers=headers, stream=True) as r:
|
107 |
+
r.raise_for_status()
|
108 |
+
f = tempfile.TemporaryFile()
|
109 |
+
for chunk in r.iter_content(chunk_size=8192):
|
110 |
+
f.write(chunk)
|
111 |
+
|
112 |
+
print(f"File {path} ready")
|
113 |
+
f.seek(0, 0)
|
114 |
+
return f
|
115 |
+
except Exception as e:
|
116 |
+
print(e)
|
117 |
+
time.sleep(0.5)
|
118 |
+
|
119 |
+
print(f"Failed to receive {path}")
|
120 |
|
121 |
|
122 |
def text_to_image(text):
|
123 |
email = os.getenv('FAIRCOMPUTE_EMAIL')
|
124 |
password = os.environ.get('FAIRCOMPUTE_PASSWORD')
|
125 |
+
client = FairApiClient(SERVER_ADRESS)
|
126 |
+
client.authenticate(email=email, password=password)
|
127 |
+
|
128 |
+
program_id = client.put_program(
|
129 |
+
launcher="Docker",
|
130 |
+
image=DOCKER_IMAGE,
|
131 |
+
runtime="nvidia",
|
132 |
+
command=[])
|
|
|
|
|
|
|
|
|
133 |
logger.info(program_id)
|
134 |
|
135 |
+
job_id = client.put_job(
|
136 |
+
program_id=program_id,
|
137 |
+
input_files=[],
|
138 |
+
output_files=["/workspace/result.png"])
|
139 |
|
140 |
logger.info(job_id)
|
141 |
|
142 |
+
status = client.get_job_status(job_id=job_id)
|
|
|
143 |
logger.info(status)
|
144 |
|
145 |
while status != "Processing" and status != "Completed":
|
146 |
+
status = client.get_job_status(job_id=job_id)
|
|
|
147 |
logger.info(status)
|
148 |
time.sleep(0.5)
|
149 |
|
150 |
+
res = client.put_job_stream_data(
|
151 |
+
job_id=job_id,
|
152 |
+
name="stdin",
|
153 |
+
data=text + "\n")
|
154 |
logger.info(res)
|
155 |
|
156 |
+
res = client.put_job_stream_eof(
|
157 |
+
job_id=job_id,
|
158 |
+
name="stdin")
|
159 |
logger.info(res)
|
160 |
|
161 |
+
status = client.get_job_status(job_id=job_id)
|
|
|
162 |
logger.info(status)
|
163 |
|
164 |
while status == "Processing":
|
165 |
+
status = client.get_job_status(
|
166 |
+
job_id=job_id)
|
167 |
logger.info(status)
|
168 |
time.sleep(0.5)
|
169 |
if status == "Completed":
|
170 |
logger.info("Done!")
|
171 |
else:
|
172 |
logger.info("Job Failed")
|
173 |
+
file = client.wait_for_file(
|
174 |
+
job_id=job_id,
|
175 |
+
path="%2Fworkspace%2Fresult.png")
|
176 |
return file
|
177 |
|
178 |
|