test/more #9

Merged
jkuhl merged 10 commits from test/more into develop 2025-12-02 10:33:38 +01:00
15 changed files with 1201 additions and 42 deletions

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@ -20,6 +20,10 @@ jobs:
env:
UV_CACHE_DIR: /tmp/.uv-cache
steps:
- name: Install git-annex
run: |
sudo apt-get update
sudo apt-get install -y git-annex
- name: Check out the repository
uses: https://github.com/RouxAntoine/checkout@v4.1.8
with:
@ -32,4 +36,4 @@ jobs:
- name: Install corrlib
run: uv sync --locked --all-extras --dev --python ${{ matrix.python-version }}
- name: Run tests
run: uv run pytest tests
run: uv run pytest --cov=corrlib tests

3
.gitignore vendored
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@ -4,4 +4,5 @@ __pycache__
test.ipynb
.vscode
.venv
.pytest_cache
.pytest_cache
.coverage

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@ -1,5 +1,5 @@
"""
The aim of this project is to extend pyerrors to be able to collect measurements from different projects and make them easily accessable to
The aim of this project is to extend pyerrors to be able to collect measurements from different projects and make them easily accessable to
the research group. The idea is to build a database, in which the researcher can easily search for measurements on a correlator basis,
which may be reusable.
As a standard to store the measurements, we will use the .json.gz format from pyerrors.
@ -15,8 +15,10 @@ For now, we are interested in collecting primary IObservables only, as these are
__app_name__ = "corrlib"
from .main import *
from .import input as input
from .initialization import *
from .meas_io import *
from .find import *
from .initialization import create as create
from .meas_io import load_record as load_record
from .meas_io import load_records as load_records
from .find import find_project as find_project
from .find import find_record as find_record
from .find import list_projects as list_projects

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@ -8,7 +8,7 @@ from .tools import str2list
from .main import update_aliases
from .meas_io import drop_cache as mio_drop_cache
import os
from importlib.metadata import version, PackageNotFoundError
from importlib.metadata import version
app = typer.Typer()

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@ -1,5 +1,4 @@
import sqlite3
import datalad.api as dl
import os
import json
import pandas as pd
@ -16,7 +15,7 @@ def _project_lookup_by_alias(db, alias):
c.execute(f"SELECT * FROM 'projects' WHERE alias = '{alias}'")
results = c.fetchall()
conn.close()
if len(results) > 1:
if len(results)>1:
print("Error: multiple projects found with alias " + alias)
elif len(results) == 0:
raise Exception("Error: no project found with alias " + alias)

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@ -2,6 +2,6 @@
Import functions for different codes.
"""
from . import sfcf
from . import openQCD
from . import implementations
from . import sfcf as sfcf
from . import openQCD as openQCD
from . import implementations as implementations

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@ -130,14 +130,14 @@ def import_project(path: str, url: str, owner: Union[str, None]=None, tags: Unio
dl.save([db, path + '/projects/' + uuid], message="Import project from " + url, dataset=path)
else:
dl.drop(tmp_path, reckless='kill')
shutil.rmtree(tmp_path)
shutil.rmtree(tmp_path)
if aliases is not None:
if isinstance(aliases, str):
alias_list = [aliases]
else:
alias_list = aliases
update_aliases(path, uuid, alias_list)
# make this more concrete
return uuid

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@ -58,7 +58,7 @@ def write_measurement(path, ensemble, measurement, uuid, code, parameter_file=No
pars = {}
subkeys = []
for i in range(len(parameters["rw_fcts"])):
par_list = []
par_list = []
for k in parameters["rw_fcts"][i].keys():
par_list.append(str(parameters["rw_fcts"][i][k]))
subkey = "/".join(par_list)
@ -79,12 +79,12 @@ def write_measurement(path, ensemble, measurement, uuid, code, parameter_file=No
subkey = "/".join(par_list)
subkeys = [subkey]
pars[subkey] = json.dumps(parameters)
for subkey in subkeys:
for subkey in subkeys:
parHash = sha256(str(pars[subkey]).encode('UTF-8')).hexdigest()
meas_path = file_in_archive + "::" + parHash
known_meas[parHash] = measurement[corr][subkey]
if c.execute("SELECT * FROM backlogs WHERE path = ?", (meas_path,)).fetchone() is not None:
c.execute("UPDATE backlogs SET updated_at = datetime('now') WHERE path = ?", (meas_path, ))
else:
@ -107,7 +107,7 @@ def load_record(path: str, meas_path: str):
Path of the correlator library.
meas_path: str
The path to the correlator in the backlog system.
Returns
-------
co : Corr or Obs
@ -126,7 +126,7 @@ def load_records(path: str, meas_paths: list[str], preloaded = {}) -> list[Union
Path of the correlator library.
meas_paths: list[str]
A list of the paths to the correlator in the backlog system.
Returns
-------
List

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@ -26,4 +26,3 @@ def get_file(path: str, file: str):
print("Downloading data...")
dl.get(os.path.join(path, file), dataset=path)
print("> downloaded file")

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@ -1 +1,34 @@
__version__ = "0.2.3"
# file generated by setuptools-scm
# don't change, don't track in version control
__all__ = [
"__version__",
"__version_tuple__",
"version",
"version_tuple",
"__commit_id__",
"commit_id",
]
TYPE_CHECKING = False
if TYPE_CHECKING:
from typing import Tuple
from typing import Union
VERSION_TUPLE = Tuple[Union[int, str], ...]
COMMIT_ID = Union[str, None]
else:
VERSION_TUPLE = object
COMMIT_ID = object
version: str
__version__: str
__version_tuple__: VERSION_TUPLE
version_tuple: VERSION_TUPLE
commit_id: COMMIT_ID
__commit_id__: COMMIT_ID
__version__ = version = '0.2.4.dev14+g602324f84.d20251202'
__version_tuple__ = version_tuple = (0, 2, 4, 'dev14', 'g602324f84.d20251202')
__commit_id__ = commit_id = 'g602324f84'

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@ -27,10 +27,19 @@ include = ["corrlib", "corrlib.*"]
write_to = "corrlib/version.py"
[tool.ruff.lint]
ignore = ["F403"]
ignore = ["E501"]
extend-select = [
"YTT",
"E",
"W",
"F",
]
[dependency-groups]
dev = [
"mypy>=1.19.0",
"pytest>=9.0.1",
"pytest-cov>=7.0.0",
"pytest-pretty>=1.3.0",
"ruff>=0.14.7",
]

91
tests/cli_test.py Normal file
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@ -0,0 +1,91 @@
from typer.testing import CliRunner
from corrlib.cli import app
import os
import sqlite3 as sql
runner = CliRunner()
def test_version():
result = runner.invoke(app, ["--version"])
assert result.exit_code == 0
assert "corrlib" in result.output
def test_init_folders(tmp_path):
dataset_path = tmp_path / "test_dataset"
result = runner.invoke(app, ["init", "--dataset", str(dataset_path)])
assert result.exit_code == 0
assert os.path.exists(str(dataset_path))
assert os.path.exists(str(dataset_path / "backlogger.db"))
def test_init_db(tmp_path):
dataset_path = tmp_path / "test_dataset"
result = runner.invoke(app, ["init", "--dataset", str(dataset_path)])
assert result.exit_code == 0
assert os.path.exists(str(dataset_path / "backlogger.db"))
conn = sql.connect(str(dataset_path / "backlogger.db"))
cursor = conn.cursor()
cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
tables = cursor.fetchall()
expected_tables = [
'projects',
'backlogs',
]
table_names = [table[0] for table in tables]
for expected_table in expected_tables:
assert expected_table in table_names
cursor.execute("SELECT * FROM projects;")
projects = cursor.fetchall()
assert len(projects) == 0
cursor.execute("SELECT * FROM backlogs;")
backlogs = cursor.fetchall()
assert len(backlogs) == 0
cursor.execute("PRAGMA table_info('projects');")
project_columns = cursor.fetchall()
expected_project_columns = [
"id",
"aliases",
"customTags",
"owner",
"code",
"created_at",
"updated_at"
]
project_column_names = [col[1] for col in project_columns]
for expected_col in expected_project_columns:
assert expected_col in project_column_names
cursor.execute("PRAGMA table_info('backlogs');")
backlog_columns = cursor.fetchall()
expected_backlog_columns = [
"id",
"name",
"ensemble",
"code",
"path",
"project",
"customTags",
"parameters",
"parameter_file",
"created_at",
"updated_at"
]
backlog_column_names = [col[1] for col in backlog_columns]
for expected_col in expected_backlog_columns:
assert expected_col in backlog_column_names
def test_list(tmp_path):
dataset_path = tmp_path / "test_dataset"
result = runner.invoke(app, ["init", "--dataset", str(dataset_path)])
assert result.exit_code == 0
result = runner.invoke(app, ["list", "--dataset", str(dataset_path), "ensembles"])
assert result.exit_code == 0
result = runner.invoke(app, ["list", "--dataset", str(dataset_path), "projects"])
assert result.exit_code == 0

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@ -0,0 +1,68 @@
import corrlib.initialization as init
import os
import sqlite3 as sql
def test_init_folders(tmp_path):
dataset_path = tmp_path / "test_dataset"
init.create(str(dataset_path))
assert os.path.exists(str(dataset_path))
assert os.path.exists(str(dataset_path / "backlogger.db"))
def test_init_db(tmp_path):
dataset_path = tmp_path / "test_dataset"
init.create(str(dataset_path))
assert os.path.exists(str(dataset_path / "backlogger.db"))
conn = sql.connect(str(dataset_path / "backlogger.db"))
cursor = conn.cursor()
cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
tables = cursor.fetchall()
expected_tables = [
'projects',
'backlogs',
]
table_names = [table[0] for table in tables]
for expected_table in expected_tables:
assert expected_table in table_names
cursor.execute("SELECT * FROM projects;")
projects = cursor.fetchall()
assert len(projects) == 0
cursor.execute("SELECT * FROM backlogs;")
backlogs = cursor.fetchall()
assert len(backlogs) == 0
cursor.execute("PRAGMA table_info('projects');")
project_columns = cursor.fetchall()
expected_project_columns = [
"id",
"aliases",
"customTags",
"owner",
"code",
"created_at",
"updated_at"
]
project_column_names = [col[1] for col in project_columns]
for expected_col in expected_project_columns:
assert expected_col in project_column_names
cursor.execute("PRAGMA table_info('backlogs');")
backlog_columns = cursor.fetchall()
expected_backlog_columns = [
"id",
"name",
"ensemble",
"code",
"path",
"project",
"customTags",
"parameters",
"parameter_file",
"created_at",
"updated_at"
]
backlog_column_names = [col[1] for col in backlog_columns]
for expected_col in expected_backlog_columns:
assert expected_col in backlog_column_names

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@ -4,15 +4,21 @@ from corrlib import tools as tl
def test_m2k():
assert tl.m2k(0.1) == 1/(2*0.1+8)
assert tl.m2k(0.5) == 1/(2*0.5+8)
assert tl.m2k(1.0) == 1/(2*1.0+8)
for m in [0.1, 0.5, 1.0]:
expected_k = 1 / (2 * m + 8)
assert tl.m2k(m) == expected_k
def test_k2m():
assert tl.k2m(0.1) == (1/(2*0.1))-4
assert tl.k2m(0.5) == (1/(2*0.5))-4
assert tl.k2m(1.0) == (1/(2*1.0))-4
for m in [0.1, 0.5, 1.0]:
assert tl.k2m(m) == (1/(2*m))-4
def test_k2m_m2k():
for m in [0.1, 0.5, 1.0]:
k = tl.m2k(m)
m_converted = tl.k2m(k)
assert abs(m - m_converted) < 1e-9
def test_str2list():

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