causal-productivity-intelligence/.gitignore at main · nayanekaa/causal-productivity-intelligence · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
# ─────────────────────────────────────────────────────────────────────────────
# Causal Productivity Intelligence System — .gitignore
# ─────────────────────────────────────────────────────────────────────────────

# Environment & secrets — NEVER commit API keys
.env
.env.local
.env.*.local
*.pem
secrets/

# Python
__pycache__/
*.py[cod]
*$py.class
*.so
*.egg
*.egg-info/
dist/
build/
.eggs/
.Python
pip-wheel-metadata/
*.pyc

# Virtual environments
.venv/
venv/
env/
ENV/
.python-version

# Jupyter
.ipynb_checkpoints/
notebooks/exploration_executed.ipynb   # keep clean notebook only
*.ipynb~

# Data — generated files, large CSVs
# Keep data/productivity_data.csv in repo (small, deterministic)
# Exclude any real personal data if you ever connect real sources
data/personal/
data/raw/
data/external/
*.parquet

# Model outputs — generated by running the pipeline
# Plots and summaries are regenerated by run_all.py
data/outputs/*.png
data/outputs/*.npy
data/outputs/mcmc_meta.json
data/outputs/llm_insights.json
# Keep bayesian_summary.csv for reference
!data/outputs/bayesian_summary.csv

# Streamlit
.streamlit/secrets.toml

# IDEs
.idea/
.vscode/
*.sublime-project
*.sublime-workspace
.DS_Store
Thumbs.db

# Testing
.pytest_cache/
.coverage
htmlcov/
.tox/

# MyPy
.mypy_cache/
.dmypy.json

# Docs
docs/_build/
site/

# Misc
*.log
*.tmp
*.bak
*.swp
*~