Fix/other stacked notebooks (#1034)

.github/workflows/notebooks.yml

@@ -31,6 +31,8 @@ jobs:
       - name: Install dependencies
         run: |
           poetry install -E "all release jupyter" -vv
+          poetry run pip install tsfresh==0.19.0
+          poetry run pip install protobuf==3.20.1
       - name: Notebook runner
         run: |
           poetry run python -m scripts.notebook_runner

CHANGELOG.md

@@ -35,7 +35,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Fix release docs and docker images cron job ([#982](https://github.com/tinkoff-ai/etna/pull/982))
 - Fix forecast first point with CatBoostPerSegmentModel ([#1010](https://github.com/tinkoff-ai/etna/pull/1010))
 - Fix hanging EDA notebook ([#1027](https://github.com/tinkoff-ai/etna/pull/1027))
--
+- Fix hanging EDA notebook v2 + cache clean script ([#1034](https://github.com/tinkoff-ai/etna/pull/1034))
 -
 ## [1.13.0] - 2022-10-10
 ### Added

examples/outliers.ipynb

@@ -467,7 +467,11 @@
    "cell_type": "code",
    "execution_count": 13,
    "id": "3ca5df18",
-   "metadata": {},
+   "metadata": {
+     "tags": [
+       "skip-execution"
+      ]
+    },
    "outputs": [
     {
      "data": {

scripts/cache_cleaner.py

@@ -0,0 +1,32 @@
+import json
+import subprocess
+from datetime import datetime
+
+from pydantic import BaseModel, parse_obj_as
+
+
+class GithubCache(BaseModel):
+    id: int
+    ref: str
+    key: str
+    version: str
+    last_accessed_at: datetime
+    created_at: datetime
+    size_in_bytes: int
+
+
+OWNER = "tinkoff-ai"
+REPO = "etna"
+COMMAND_GET_LIST = f'gh api -H "Accept: application/vnd.github+json" /repos/{OWNER}/{REPO}/actions/caches'
+COMMAND_DELETE = (
+    lambda x: f'gh api --method DELETE -H "Accept: application/vnd.github+json" /repos/{OWNER}/{REPO}/actions/caches/{x}'
+)
+
+output = subprocess.check_output(COMMAND_GET_LIST, shell=True)
+
+cache_list = parse_obj_as(list[GithubCache], json.loads(output)["actions_caches"])
+
+
+print("Total caches:", len(cache_list))
+
+list(map(lambda x: subprocess.check_output(COMMAND_DELETE(x.id), shell=True), cache_list))