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chillingo117 committed May 21, 2024
2 parents 9f80bf0 + 9ba3f1b commit a89f2ea
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34 changes: 34 additions & 0 deletions .github/workflows/python-tests.yml
Original file line number Diff line number Diff line change
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name: Python Tests

on:
push:
branches: [ main ]
pull_request:
branches: [ main ]

jobs:
test:
runs-on: ubuntu-latest

strategy:
matrix:
python-version: ['3.10']

steps:
- name: Checkout repository
uses: actions/checkout@v2

- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}

- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install pytest
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- name: Run tests
run: |
pytest test/fission_tests.py
6 changes: 3 additions & 3 deletions backend/harvesters/Mastodon/mharvester.py
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
def parse_json(msg, analyzer):
new_msg = {}

new_msg['id'] = msg['id']
new_msg['id'] = msg.get('id')

raw_date = msg.get('created_at')
if raw_date:
Expand All @@ -20,10 +20,10 @@ def parse_json(msg, analyzer):
else:
new_msg['created_at'] = None

new_msg['content'] = msg['content']
new_msg['content'] = msg.get('content')

try:
new_msg['sentiment'] = analyzer.polarity_scores(new_msg['content']).get('compound')
new_msg['sentiment'] = analyzer.polarity_scores(new_msg.get('content')).get('compound')
except:
new_msg['sentiment'] = 0

Expand Down
1 change: 1 addition & 0 deletions docs/BOMHarvester.drawio
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<mxfile host="Electron" modified="2024-05-19T11:47:50.096Z" agent="5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) draw.io/20.8.10 Chrome/106.0.5249.199 Electron/21.3.5 Safari/537.36" etag="p4hTmpZ7qbFGYSD-xO4L" version="20.8.10" type="device"><diagram name="Page-1" id="zupnVGPUZq7tzIHBuSUI">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</diagram></mxfile>
1 change: 1 addition & 0 deletions docs/MastodonHarvester.drawio
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