Error: Resource not accessible by integration

[harshjadhav890]

Error: Resource not accessible by integration

{"level":"error","message":"Resource not accessible by integration","name":"HttpError","request":{"body":"{"body":"Average Precision:0.7674Test data Precision:0.7696Precision of Background event:0.8530Precision of Signal event:0.7696\n\n![](https://cml.dev/watermark.png#04d9b2365948ae2223244f67969e34b56f17f950 \"CML watermark\")\n"}","headers":{"accept":"application/vnd.github.v3+json","authorization":"token [REDACTED]","content-type":"application/json; charset=utf-8","user-agent":"octokit-rest.js/18.0.0 octokit-core.js/3.6.0 Node.js/16.16.0 (linux; x64)"},"method":"POST","request":{"agent":{}},"url":"https://api.github.com/repos/harshjadhav890/Higgs-Boson/issues/3/comments"},"response":{"data":{"documentation_url":"https://docs.github.com/rest/issues/comments#create-an-issue-comment","message":"Resource not accessible by integration"},"headers":{"access-control-allow-origin":"*","access-control-expose-headers":"ETag, Link, Location, Retry-After, X-GitHub-OTP, X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Used, X-RateLimit-Resource, X-RateLimit-Reset, X-OAuth-Scopes, X-Accepted-OAuth-Scopes, X-Poll-Interval, X-GitHub-Media-Type, X-GitHub-SSO, X-GitHub-Request-Id, Deprecation, Sunset","connection":"close","content-encoding":"gzip","content-security-policy":"default-src 'none'","content-type":"application/json; charset=utf-8","date":"Thu, 01 Feb 2024 11:17:15 GMT","referrer-policy":"origin-when-cross-origin, strict-origin-when-cross-origin","server":"GitHub.com","strict-transport-security":"max-age=31536000; includeSubdomains; preload","transfer-encoding":"chunked","vary":"Accept-Encoding, Accept, X-Requested-With","x-accepted-github-permissions":"issues=write; pull_requests=write","x-content-type-options":"nosniff","x-frame-options":"deny","x-github-api-version-selected":"2022-11-28","x-github-media-type":"github.v3; format=json","x-github-request-id":"6492:06D1:37FF164:39DF53D:65BB7DBB","x-ratelimit-limit":"1000","x-ratelimit-remaining":"991","x-ratelimit-reset":"1706789292","x-ratelimit-resource":"core","x-ratelimit-used":"9","x-xss-protection":"0"},"status":403,"url":"https://api.github.com/repos/harshjadhav890/Higgs-Boson/issues/3/comments"},"stack":"HttpError: Resource not accessible by integration\n at /snapshot/cml/node_modules/@octokit/request/dist-node/index.js:86:21\n at processTicksAndRejections (node:internal/process/task_queues:96:5)\n at async Job.doExecute (/snapshot/cml/node_modules/bottleneck/light.js:405:18)","status":403}
Error: Process completed with exit code 1.

My train.yaml file contents

name: Simple train 
run-name: Simple train
on: [push]
jobs:
  run:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: iterative/setup-cml@v2
      - name: Train model & Write CML report
        env:
          REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}
        run: |
          # Your ML workflow goes here
          pip install -r requirements.txt
          python train.py
          cat results.txt >> report.md
          cml comment create report.md

my train.py file contents

from modelling import preprocess, fit_score
import pandas as pd
from sklearn.model_selection import train_test_split
from xgboost import XGBClassifier


df = pd.read_parquet('data/preprocessed_data.parquet')
X, y = preprocess(df)
model, metrics = fit_score(X, y)

for key, value in metrics.items():
    print(f"{key}:{value:.4f}")

with open("results.txt", 'w') as outfile:
    for key, value in metrics.items():
        outfile.write(f"{key}:{value:.4f}")

[harshjadhav890]

Linking the solution and closing the issue:
#1377 (comment)

Updated yaml file to train a model and comment the metrics (make sure your train.py creates a results.txt as shown above):

name: Comment Metrics
run-name: Comment Metrics
on: [push]

# adding permissions to tackle error: 'Resource not accessible by integration'
permissions:
    actions: write
    contents: write
    id-token: write
    issues: write
    pull-requests: write
    
jobs:
    Comment-Metrics:
      runs-on: ubuntu-latest
      steps:
        - uses: actions/checkout@v4
        - uses: iterative/setup-cml@v2
        - name: Train model & Write CML report
          env:
            REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          run: |
            # Your ML workflow goes here
            pip install -r requirements.txt
            python train.py
            cat results.txt >> report.md
            cml comment create report.md