davidberenstein1957 HF staff commited on
Commit
0a75735
1 Parent(s): cd158d6

added basic webhook adaptations

Browse files
Files changed (4) hide show
  1. README.md +5 -0
  2. poetry.lock +724 -0
  3. pyproject.toml +19 -0
  4. src/main.py +104 -103
README.md CHANGED
@@ -9,3 +9,8 @@ duplicated_from: huggingface-projects/auto-retrain
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+
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+ ```bash
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+ ngrok http 6900
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+ uvicorn src.main:app --reload --port 6900
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+ ```
poetry.lock ADDED
@@ -0,0 +1,724 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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723
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724
+ ]
pyproject.toml ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [tool.poetry]
2
+ name = "auto-retrain-argilla"
3
+ version = "0.1.0"
4
+ description = ""
5
+ authors = ["david <[email protected]>"]
6
+ readme = "README.md"
7
+ packages = [{include = "auto_retrain_argilla"}]
8
+
9
+ [tool.poetry.dependencies]
10
+ python = "^3.10"
11
+ fastapi = "^0.92.0"
12
+ huggingface-hub = "^0.12.1"
13
+ requests = "^2.28.2"
14
+ uvicorn = {version = ">=0.17.0,<0.18.0", extras = ["standard"]}
15
+
16
+
17
+ [build-system]
18
+ requires = ["poetry-core"]
19
+ build-backend = "poetry.core.masonry.api"
src/main.py CHANGED
@@ -1,12 +1,12 @@
1
  import os
2
- import requests
3
  from typing import Optional
4
 
5
- from fastapi import FastAPI, Header, HTTPException, BackgroundTasks
 
6
  from fastapi.responses import FileResponse
7
  from huggingface_hub.hf_api import HfApi
8
 
9
- from .models import config, WebhookPayload
10
 
11
  WEBHOOK_SECRET = os.getenv("WEBHOOK_SECRET")
12
  HF_ACCESS_TOKEN = os.getenv("HF_ACCESS_TOKEN")
@@ -16,120 +16,121 @@ AUTOTRAIN_UI_URL = "https://ui.autotrain.huggingface.co"
16
 
17
  app = FastAPI()
18
 
 
19
  @app.get("/")
20
  async def home():
21
- return FileResponse("home.html")
 
22
 
23
  @app.post("/webhook")
24
  async def post_webhook(
25
- payload: WebhookPayload,
26
- task_queue: BackgroundTasks,
27
- x_webhook_secret: Optional[str] = Header(default=None),
28
- ):
29
- if x_webhook_secret is None:
30
- raise HTTPException(401)
31
- if x_webhook_secret != WEBHOOK_SECRET:
32
- raise HTTPException(403)
33
- if not (
34
- payload.event.action == "update"
35
- and payload.event.scope.startswith("repo.content")
36
- and payload.repo.name == config.input_dataset
37
- and payload.repo.type == "dataset"
38
- ):
39
- # no-op
40
- return {"processed": False}
41
-
42
- task_queue.add_task(
43
- schedule_retrain,
44
- payload
45
- )
46
-
47
- return {"processed": True}
48
 
49
 
50
  def schedule_retrain(payload: WebhookPayload):
51
- # Create the autotrain project
52
- try:
53
- project = AutoTrain.create_project(payload)
54
- AutoTrain.add_data(project_id=project["id"])
55
- AutoTrain.start_processing(project_id=project["id"])
56
- except requests.HTTPError as err:
57
- print("ERROR while requesting AutoTrain API:")
58
- print(f" code: {err.response.status_code}")
59
- print(f" {err.response.json()}")
60
- raise
61
- # Notify in the community tab
62
- notify_success(project["id"])
63
-
64
- return {"processed": True}
65
 
66
 
67
  class AutoTrain:
68
- @staticmethod
69
- def create_project(payload: WebhookPayload) -> dict:
70
- project_resp = requests.post(
71
- f"{AUTOTRAIN_API_URL}/projects/create",
72
- json={
73
- "username": config.target_namespace,
74
- "proj_name": f"{config.autotrain_project_prefix}-{payload.repo.headSha[:7]}",
75
- "task": 18, # image-multi-class-classification
76
- "config": {
77
- "hub-model": config.input_model,
78
- "max_models": 1,
79
- "language": "unk",
80
- }
81
- },
82
- headers={
83
- "Authorization": f"Bearer {HF_ACCESS_TOKEN}"
84
- }
85
- )
86
- project_resp.raise_for_status()
87
- return project_resp.json()
88
-
89
- @staticmethod
90
- def add_data(project_id:int):
91
- requests.post(
92
- f"{AUTOTRAIN_API_URL}/projects/{project_id}/data/dataset",
93
- json={
94
- "dataset_id": config.input_dataset,
95
- "dataset_split": "train",
96
- "split": 4,
97
- "col_mapping": {
98
- "image": "image",
99
- "label": "target",
100
- }
101
- },
102
- headers={
103
- "Authorization": f"Bearer {HF_ACCESS_TOKEN}",
104
- }
105
- ).raise_for_status()
106
-
107
- @staticmethod
108
- def start_processing(project_id: int):
109
- resp = requests.post(
110
- f"{AUTOTRAIN_API_URL}/projects/{project_id}/data/start_processing",
111
- headers={
112
- "Authorization": f"Bearer {HF_ACCESS_TOKEN}",
113
- }
114
- )
115
- resp.raise_for_status()
116
- return resp
117
 
118
 
119
  def notify_success(project_id: int):
120
- message = NOTIFICATION_TEMPLATE.format(
121
- input_model=config.input_model,
122
- input_dataset=config.input_dataset,
123
- project_id=project_id,
124
- ui_url=AUTOTRAIN_UI_URL,
125
- )
126
- return HfApi(token=HF_ACCESS_TOKEN).create_discussion(
127
- repo_id=config.input_dataset,
128
- repo_type="dataset",
129
- title="✨ Retraining started!",
130
- description=message,
131
- token=HF_ACCESS_TOKEN,
132
- )
 
133
 
134
  NOTIFICATION_TEMPLATE = """\
135
  🌸 Hello there!
 
1
  import os
 
2
  from typing import Optional
3
 
4
+ import requests
5
+ from fastapi import BackgroundTasks, FastAPI, Header, HTTPException
6
  from fastapi.responses import FileResponse
7
  from huggingface_hub.hf_api import HfApi
8
 
9
+ from .models import WebhookPayload, config
10
 
11
  WEBHOOK_SECRET = os.getenv("WEBHOOK_SECRET")
12
  HF_ACCESS_TOKEN = os.getenv("HF_ACCESS_TOKEN")
 
16
 
17
  app = FastAPI()
18
 
19
+
20
  @app.get("/")
21
  async def home():
22
+ return FileResponse("home.html")
23
+
24
 
25
  @app.post("/webhook")
26
  async def post_webhook(
27
+ payload: WebhookPayload,
28
+ task_queue: BackgroundTasks,
29
+ x_webhook_secret: Optional[str] = Header(default=None),
30
+ ):
31
+ if x_webhook_secret is None:
32
+ raise HTTPException(401)
33
+ if x_webhook_secret != WEBHOOK_SECRET:
34
+ raise HTTPException(403)
35
+ print(payload)
36
+ if not (
37
+ payload.event.action == "update"
38
+ and payload.event.scope.startswith("repo.content")
39
+ and payload.repo.name == config.input_dataset
40
+ and payload.repo.type == "dataset"
41
+ ):
42
+ # no-op
43
+ return {"processed": False}
44
+
45
+ task_queue.add_task(schedule_retrain, payload)
46
+
47
+ return {"processed": True}
 
 
48
 
49
 
50
  def schedule_retrain(payload: WebhookPayload):
51
+ # Create the autotrain project
52
+ try:
53
+ project = AutoTrain.create_project(payload)
54
+ AutoTrain.add_data(project_id=project["id"])
55
+ AutoTrain.start_processing(project_id=project["id"])
56
+ except requests.HTTPError as err:
57
+ print("ERROR while requesting AutoTrain API:")
58
+ print(f" code: {err.response.status_code}")
59
+ print(f" {err.response.json()}")
60
+ raise
61
+ # Notify in the community tab
62
+ notify_success(project["id"])
63
+
64
+ return {"processed": True}
65
 
66
 
67
  class AutoTrain:
68
+ @staticmethod
69
+ def create_project(payload: WebhookPayload) -> dict:
70
+ project_resp = requests.post(
71
+ f"{AUTOTRAIN_API_URL}/projects/create",
72
+ json={
73
+ "username": config.target_namespace,
74
+ "proj_name": (
75
+ f"{config.autotrain_project_prefix}-{payload.repo.headSha[:7]}"
76
+ ),
77
+ "task": 18, # image-multi-class-classification
78
+ "config": {
79
+ "hub-model": config.input_model,
80
+ "max_models": 1,
81
+ "language": "unk",
82
+ },
83
+ },
84
+ headers={"Authorization": f"Bearer {HF_ACCESS_TOKEN}"},
85
+ )
86
+ project_resp.raise_for_status()
87
+ return project_resp.json()
88
+
89
+ @staticmethod
90
+ def add_data(project_id: int):
91
+ requests.post(
92
+ f"{AUTOTRAIN_API_URL}/projects/{project_id}/data/dataset",
93
+ json={
94
+ "dataset_id": config.input_dataset,
95
+ "dataset_split": "train",
96
+ "split": 4,
97
+ "col_mapping": {
98
+ "image": "image",
99
+ "label": "target",
100
+ },
101
+ },
102
+ headers={
103
+ "Authorization": f"Bearer {HF_ACCESS_TOKEN}",
104
+ },
105
+ ).raise_for_status()
106
+
107
+ @staticmethod
108
+ def start_processing(project_id: int):
109
+ resp = requests.post(
110
+ f"{AUTOTRAIN_API_URL}/projects/{project_id}/data/start_processing",
111
+ headers={
112
+ "Authorization": f"Bearer {HF_ACCESS_TOKEN}",
113
+ },
114
+ )
115
+ resp.raise_for_status()
116
+ return resp
117
 
118
 
119
  def notify_success(project_id: int):
120
+ message = NOTIFICATION_TEMPLATE.format(
121
+ input_model=config.input_model,
122
+ input_dataset=config.input_dataset,
123
+ project_id=project_id,
124
+ ui_url=AUTOTRAIN_UI_URL,
125
+ )
126
+ return HfApi(token=HF_ACCESS_TOKEN).create_discussion(
127
+ repo_id=config.input_dataset,
128
+ repo_type="dataset",
129
+ title="✨ Retraining started!",
130
+ description=message,
131
+ token=HF_ACCESS_TOKEN,
132
+ )
133
+
134
 
135
  NOTIFICATION_TEMPLATE = """\
136
  🌸 Hello there!