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Félix Dorn 2025-07-03 16:26:30 +02:00
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.env.example Normal file
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export OPENAI_API_KEY=

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.gitignore vendored Normal file
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epoch_task_data.csv
oesm23national.xlsx
onet.database*
onet_occupation_data.json
schema.sql
task_ratings_enriched.json
.env
.ipynb_checkpoints
80percent-8h.png
add
df_sample.csv
df_sample_with_estimates.csv
sampled_tasks.csv
task_to_estimate.csv
Untitled.png

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agents.md Normal file
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- I use Nix. To run a command, prefix them with `nix develop .#impure -c`
- I use uv. To add a package, use: uv add. To run a script use: uv run path/to/script

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flake.lock generated Normal file
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{
"nodes": {
"nixpkgs": {
"locked": {
"lastModified": 1745526057,
"narHash": "sha256-ITSpPDwvLBZBnPRS2bUcHY3gZSwis/uTe255QgMtTLA=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "f771eb401a46846c1aebd20552521b233dd7e18b",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixos-unstable",
"repo": "nixpkgs",
"type": "github"
}
},
"pyproject-build-systems": {
"inputs": {
"nixpkgs": [
"nixpkgs"
],
"pyproject-nix": [
"pyproject-nix"
],
"uv2nix": [
"uv2nix"
]
},
"locked": {
"lastModified": 1744599653,
"narHash": "sha256-nysSwVVjG4hKoOjhjvE6U5lIKA8sEr1d1QzEfZsannU=",
"owner": "pyproject-nix",
"repo": "build-system-pkgs",
"rev": "7dba6dbc73120e15b558754c26024f6c93015dd7",
"type": "github"
},
"original": {
"owner": "pyproject-nix",
"repo": "build-system-pkgs",
"type": "github"
}
},
"pyproject-nix": {
"inputs": {
"nixpkgs": [
"nixpkgs"
]
},
"locked": {
"lastModified": 1743438845,
"narHash": "sha256-1GSaoubGtvsLRwoYwHjeKYq40tLwvuFFVhGrG8J9Oek=",
"owner": "pyproject-nix",
"repo": "pyproject.nix",
"rev": "8063ec98edc459571d042a640b1c5e334ecfca1e",
"type": "github"
},
"original": {
"owner": "pyproject-nix",
"repo": "pyproject.nix",
"type": "github"
}
},
"root": {
"inputs": {
"nixpkgs": "nixpkgs",
"pyproject-build-systems": "pyproject-build-systems",
"pyproject-nix": "pyproject-nix",
"uv2nix": "uv2nix"
}
},
"uv2nix": {
"inputs": {
"nixpkgs": [
"nixpkgs"
],
"pyproject-nix": [
"pyproject-nix"
]
},
"locked": {
"lastModified": 1745328266,
"narHash": "sha256-ykgcOadiU9Z67P2MOjB0r06r35cQu65t0fzDeYR1uzc=",
"owner": "pyproject-nix",
"repo": "uv2nix",
"rev": "bcadc56a1e90d89bf32cc4ac308d8252e2adf855",
"type": "github"
},
"original": {
"owner": "pyproject-nix",
"repo": "uv2nix",
"type": "github"
}
}
},
"root": "root",
"version": 7
}

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flake.nix Normal file
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{
description = "Hello world flake using uv2nix";
inputs = {
nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable";
pyproject-nix = {
url = "github:pyproject-nix/pyproject.nix";
inputs.nixpkgs.follows = "nixpkgs";
};
uv2nix = {
url = "github:pyproject-nix/uv2nix";
inputs.pyproject-nix.follows = "pyproject-nix";
inputs.nixpkgs.follows = "nixpkgs";
};
pyproject-build-systems = {
url = "github:pyproject-nix/build-system-pkgs";
inputs.pyproject-nix.follows = "pyproject-nix";
inputs.uv2nix.follows = "uv2nix";
inputs.nixpkgs.follows = "nixpkgs";
};
};
outputs =
{ self, nixpkgs, uv2nix, pyproject-nix, pyproject-build-systems, ... }:
let
inherit (nixpkgs) lib;
# Load a uv workspace from a workspace root.
# Uv2nix treats all uv projects as workspace projects.
workspace = uv2nix.lib.workspace.loadWorkspace { workspaceRoot = ./.; };
# Create package overlay from workspace.
overlay = workspace.mkPyprojectOverlay {
# Prefer prebuilt binary wheels as a package source.
# Sdists are less likely to "just work" because of the metadata missing from uv.lock.
# Binary wheels are more likely to, but may still require overrides for library dependencies.
sourcePreference = "wheel"; # or sourcePreference = "sdist";
# Optionally customise PEP 508 environment
# environ = {
# platform_release = "5.10.65";
# };
};
# Extend generated overlay with build fixups
#
# Uv2nix can only work with what it has, and uv.lock is missing essential metadata to perform some builds.
# This is an additional overlay implementing build fixups.
# See:
# - https://pyproject-nix.github.io/uv2nix/FAQ.html
pyprojectOverrides = _final: _prev: {
# Implement build fixups here.
# Note that uv2nix is _not_ using Nixpkgs buildPythonPackage.
# It's using https://pyproject-nix.github.io/pyproject.nix/build.html
sgmllib3k = _prev.sgmllib3k.overrideAttrs (old: {
buildInputs = (old.buildInputs or [ ])
++ _final.resolveBuildSystem ({ setuptools = [ ]; });
});
millify = _prev.millify.overrideAttrs (old: {
buildInputs = (old.buildInputs or [ ])
++ _final.resolveBuildSystem ({ setuptools = [ ]; });
});
};
# This example is only using x86_64-linux
pkgs = nixpkgs.legacyPackages.x86_64-linux;
# Use Python 3.12 from nixpkgs
python = pkgs.python313;
# Construct package set
pythonSet =
# Use base package set from pyproject.nix builders
(pkgs.callPackage pyproject-nix.build.packages {
inherit python;
}).overrideScope (lib.composeManyExtensions [
pyproject-build-systems.overlays.default
overlay
pyprojectOverrides
]);
in {
# Package a virtual environment as our main application.
#
# Enable no optional dependencies for production build.
packages.x86_64-linux.default =
pythonSet.mkVirtualEnv "hello-world-env" workspace.deps.default;
# Make hello runnable with `nix run`
apps.x86_64-linux = {
default = {
type = "app";
program = "${self.packages.x86_64-linux.default}/bin/hello";
};
};
# This example provides two different modes of development:
# - Impurely using uv to manage virtual environments
# - Pure development using uv2nix to manage virtual environments
devShells.x86_64-linux = {
# It is of course perfectly OK to keep using an impure virtualenv workflow and only use uv2nix to build packages.
# This devShell simply adds Python and undoes the dependency leakage done by Nixpkgs Python infrastructure.
impure = pkgs.mkShell {
packages = [ python pkgs.uv ];
env = {
# Prevent uv from managing Python downloads
UV_PYTHON_DOWNLOADS = "never";
# Force uv to use nixpkgs Python interpreter
UV_PYTHON = python.interpreter;
} // lib.optionalAttrs pkgs.stdenv.isLinux {
# Python libraries often load native shared objects using dlopen(3).
# Setting LD_LIBRARY_PATH makes the dynamic library loader aware of libraries without using RPATH for lookup.
LD_LIBRARY_PATH =
lib.makeLibraryPath pkgs.pythonManylinuxPackages.manylinux1;
};
shellHook = ''
unset PYTHONPATH
'';
};
# This devShell uses uv2nix to construct a virtual environment purely from Nix, using the same dependency specification as the application.
# The notable difference is that we also apply another overlay here enabling editable mode ( https://setuptools.pypa.io/en/latest/userguide/development_mode.html ).
#
# This means that any changes done to your local files do not require a rebuild.
#
# Note: Editable package support is still unstable and subject to change.
uv2nix = let
# Create an overlay enabling editable mode for all local dependencies.
editableOverlay = workspace.mkEditablePyprojectOverlay {
# Use environment variable
root = "$REPO_ROOT";
# Optional: Only enable editable for these packages
# members = [ "hello-world" ];
};
# Override previous set with our overrideable overlay.
editablePythonSet = pythonSet.overrideScope
(lib.composeManyExtensions [
editableOverlay
# Apply fixups for building an editable package of your workspace packages
(final: prev: {
hello-world = prev.hello-world.overrideAttrs (old: {
# It's a good idea to filter the sources going into an editable build
# so the editable package doesn't have to be rebuilt on every change.
src = lib.fileset.toSource {
root = old.src;
fileset = lib.fileset.unions [
(old.src + "/pyproject.toml")
(old.src + "/README.md")
(old.src + "/src/hello_world/__init__.py")
];
};
# Hatchling (our build system) has a dependency on the `editables` package when building editables.
#
# In normal Python flows this dependency is dynamically handled, and doesn't need to be explicitly declared.
# This behaviour is documented in PEP-660.
#
# With Nix the dependency needs to be explicitly declared.
nativeBuildInputs = old.nativeBuildInputs
++ final.resolveBuildSystem { editables = [ ]; };
});
})
]);
# Build virtual environment, with local packages being editable.
#
# Enable all optional dependencies for development.
virtualenv = editablePythonSet.mkVirtualEnv "hello-world-dev-env"
workspace.deps.all;
in pkgs.mkShell {
packages = [ virtualenv pkgs.uv ];
env = {
# Don't create venv using uv
UV_NO_SYNC = "1";
# Force uv to use Python interpreter from venv
UV_PYTHON = "${virtualenv}/bin/python";
# Prevent uv from downloading managed Python's
UV_PYTHON_DOWNLOADS = "never";
};
shellHook = ''
# Undo dependency propagation by nixpkgs.
unset PYTHONPATH
# Get repository root using git. This is expanded at runtime by the editable `.pth` machinery.
export REPO_ROOT=$(git rev-parse --show-toplevel)
'';
};
};
};
}

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OCCUPATION_MAJOR_CODES = {
'11': 'Management',
'13': 'Business & Financial',
'15': 'Computer & Mathematical',
'17': 'Architecture & Engineering',
'19': 'Life, Physical, & Social Science',
'21': 'Community & Social Service',
'23': 'Legal',
'25': 'Education, Training, & Library',
'27': 'Arts, Design, & Media',
'29': 'Healthcare Practitioners',
'31': 'Healthcare Support',
'33': 'Protective Service',
'35': 'Food Preparation & Serving',
'37': 'Building & Grounds Maintenance',
'39': 'Personal Care & Service',
'41': 'Sales & Related',
'43': 'Office & Admin Support',
'45': 'Farming, Fishing, & Forestry',
'47': 'Construction & Extraction',
'49': 'Installation, Maintenance, & Repair',
'51': 'Production',
'53': 'Transportation & Material Moving',
'55': 'Military Specific',
}
GRAY = {'50':'#f8fafc','100':'#f1f5f9','200':'#e2e8f0',
'300':'#cbd5e1','400':'#94a3b8','500':'#64748b',
'600':'#475569','700':'#334155','800':'#1e293b',
'900':'#0f172a','950':'#020617'}
LIME = {'50': '#f7fee7','100': '#ecfcca','200': '#d8f999',
'300': '#bbf451','400': '#9ae600','500': '#83cd00',
'600': '#64a400','700': '#497d00','800': '#3c6300',
'900': '#35530e','950': '#192e03'}

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pipeline/enrichments.py Normal file
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"""
This module enriches data, they take time to run, and are usually expensive (API calls...),
they should manage their own state, and only be run if the data's version is different than
their save.
"""
from .run import Run
import pandas as pd
def enrich_with_task_estimateability(run: Run) -> pd.DataFrame:
raise NotImplementedError
def enrich_with_task_estimates(run: Run) -> pd.DataFrame:
raise NotImplementedError

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"""
Fetchers retrieve remote data and return it in a format suitable for further processing, they also return its version, which should be considered opaque, though it is usually a checksum.
"""
import sqlite3
from typing import Tuple
import pandas as pd
from .metadata import Metadata
def fetch_onet_database(meta: Metadata) -> Tuple[sqlite3.Connection, str]:
raise NotImplementedError
def fetch_oesm_data(meta: Metadata) -> Tuple[pd.DataFrame, str]:
raise NotImplementedError
def fetch_epoch_remote_data(meta: Metadata) -> Tuple[pd.DataFrame, str]:
raise NotImplementedError

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pipeline/generators/__init__.py Normal file
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from .estimate_histplot import generate_estimate_histplot
GENERATORS = [
generate_estimate_histplot
]

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pipeline/generators/estimate_histplot.py Normal file
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from ..run import Run
from pathlib import Path
from typing import Generator
def generate_estimate_histplot(run: Run, output_dir: Path) -> Generator[Path]:
raise NotImplementedError

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pipeline/generators/helpers.py Normal file
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import pandas as pd
from typings import List
def must_have_columns(df: pd.DataFrame, columns: List[str]):
if not all(col in df.columns for col in columns):
raise ValueError(f"DataFrame is missing required columns: {columns}")

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"""
This module defines the Metadata model for the pipeline.
"""
from datetime import datetime
from pydantic import BaseModel, Field
from typing import Dict, Any
class Metadata(BaseModel):
"""
A Pydantic model for storing pipeline metadata.
This class is intended to be instantiated once and passed through the
pipeline. Each step in the pipeline can then add its own metadata.
This provides a centralized and structured way to track data provenance,
versions, and other important information.
"""
fetchers: Dict[str, Dict[str, Any]] = Field(default_factory=dict)
ts: str = Field(default_factory=lambda: datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
commit: str = Field(default_factory=lambda: _get_current_commit())
def _get_current_commit() -> str:
"""
Returns the current git commit hash, "unknown", or "errored" depending on why the commit could not be retrieved.
"""
raise NotImplementedError

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from .run import Run
def check_for_insanity(run: Run) -> Run:
raise NotImplementedError
def create_df_tasks(run: Run) -> Run:
"""
df_tasks are tasks that are remote-able, estimateable
Add lb_estimate_in_minutes, ub_estimate_in_minutes, estimate_range, estimate_ratio, estimate_midpoint as columns
"""
raise NotImplementedError

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from pydantic import BaseModel, Field
import sqlite3
import pandas as pd
from typing import Optional
from .metadata import Metadata
class Run(BaseModel):
# === FETCHERS ===
onet_conn: Optional[sqlite3.Connection] = None
onet_version: Optional[str] = None
oesm_df: Optional[pd.DataFrame] = None
oesm_version: Optional[str] = None
epoch_df: Optional[pd.DataFrame] = None
epoch_version: Optional[str] = None
# === ENRICHMENTS ===
task_estimateability_df: Optional[pd.DataFrame] = None
task_estimates_df: Optional[pd.DataFrame] = None
meta: Metadata = Field(default_factory=Metadata)

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from dotenv import load_dotenv
from .fetchers import fetch_oesm_data, fetch_epoch_remote_data, fetch_onet_database
from .enrichments import enrich_with_task_estimateability, enrich_with_task_estimates
from .postprocessors import check_for_insanity, create_df_tasks
from .generators import GENERATORS
from .run import Run
from .constants import GRAY
import seaborn as sns
import matplotlib as mpl
from pathlib import Path
from typings import Optional
def run(output_dir: Optional[str] = None):
if output_dir is None:
output_dir = Path(".")
load_dotenv()
_setup_graph_rendering()
current_run = Run()
# Fetchers (fetchers.py)
current_run.onet_conn, current_run.onet_version = fetch_onet_database(current_run.meta)
current_run.oesm_df, current_run.oesm_version = fetch_oesm_data(current_run.meta)
current_run.epoch_df, current_run.epoch_version = fetch_epoch_remote_data(current_run.meta)
# Enrichments (enrichments.py)
current_run.task_estimateability_df = enrich_with_task_estimateability(current_run)
current_run.task_estimates_df = enrich_with_task_estimates(current_run)
# Postprocessors (postprocessors.py)
create_df_tasks(current_run)
check_for_insanity(current_run)
# Generators (generators/)
for gen in GENERATORS:
gen(current_run, output_dir)
def _setup_graph_rendering():
mpl.rcParams.update({
'figure.facecolor' : GRAY['50'],
'axes.facecolor' : GRAY['50'],
'axes.edgecolor' : GRAY['100'],
'axes.labelcolor' : GRAY['700'],
'xtick.color' : GRAY['700'],
'ytick.color' : GRAY['700'],
'font.family' : 'Inter',
'font.size' : 11,
})
sns.set_style("white")

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[project]
name = "sprint-econtai"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
"matplotlib>=3.10.3",
"pandas>=2.2.3",
"pydantic>=2.11.7",
"python-dotenv>=1.1.1",
"seaborn>=0.13.2",
]
[tool.pytest.ini_options]
pythonpath = "src"
addopts = "-v"
asyncio_mode = "auto"
[tool.black]
line-length = 100
[tool.isort]
profile = "black"
[dependency-groups]
dev = []

414
uv.lock generated Normal file
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version = 1
revision = 2
requires-python = ">=3.13"
[[package]]
name = "annotated-types"
version = "0.7.0"
source = { registry = "https://pypi.org/simple" }
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]
[[package]]
name = "contourpy"
version = "1.3.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "numpy" },
]
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