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@@ -1,3 +1,3 @@ | ||
,title,doi,included | ||
0,"Social Networks Analysis: Tools, Measures and Visualization",https://doi.org/10.1007/978-1-4471-4054-2_1,1 | ||
1,"Genome-wide Association Study of Alcohol Dependence",https://doi.org/10.1001/archgenpsychiatry.2009.83,0 | ||
0,"Myrmecochorous plants in Australia and their dispersal by ants",https://doi.org/10.1071/bt9750475,1 | ||
1,"Mimicking the one-dimensional marginal distributions of processes having an ito differential",https://doi.org/10.1007/bf00699039,0 |
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,openalex_id,title,included | ||
0,https://openalex.org/W2234238252,"Social Networks Analysis: Tools, Measures and Visualization",1 | ||
1,https://openalex.org/W1977467968,"Genome-wide Association Study of Alcohol Dependence",0 | ||
0,https://openalex.org/W2051970045,"Myrmecochorous plants in Australia and their dispersal by ants",1 | ||
1,https://openalex.org/W104454400,"Mimicking the one-dimensional marginal distributions of processes having an ito differential",0 |
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@@ -1,13 +1,45 @@ | ||
from pathlib import Path | ||
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import pandas as pd | ||
import pyalex | ||
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from asreviewcontrib.datatools.snowball import backward_snowballing | ||
from asreviewcontrib.datatools.snowball import forward_snowballing | ||
from asreviewcontrib.datatools.snowball import openalex_from_doi | ||
from asreviewcontrib.datatools.snowball import snowball | ||
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INPUT_DIR = Path(__file__).parent / "demo_data" | ||
EMAIL = "[email protected]" | ||
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pyalex.config.email = EMAIL | ||
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# These works were chosen for testing forward snowballing. | ||
# They have a DOI, they cite and are cited by, their cited_by_count is less than 400, | ||
# so it takes only two requests to get all citing works. And they are from the previous | ||
# century so the cited_by_count is unlikely to change very much. | ||
# These are also the same records as in the demo datasets 'snowballing_doi.csv' and | ||
# 'snowballing_openalex.csv'. | ||
WORKS = [ | ||
{ | ||
"id": "https://openalex.org/W2051970045", | ||
"doi": "https://doi.org/10.1071/bt9750475", | ||
"title": "Myrmecochorous plants in Australia and their dispersal by ants", | ||
"cited_by_count": 372, | ||
"cited_by": "https://openalex.org/W2174650845", | ||
"cites": "https://openalex.org/W1538725992", | ||
}, | ||
{ | ||
"id": "https://openalex.org/W104454400", | ||
"doi": "https://doi.org/10.1007/bf00699039", | ||
"title": ( | ||
"Mimicking the one-dimensional marginal distributions of processes having" | ||
" an ito differential" | ||
), | ||
"cited_by_count": 299, | ||
"cited_by": "https://openalex.org/W1842249978", | ||
"cites": "https://openalex.org/W1513091520", | ||
}, | ||
] | ||
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def test_openalex_from_doi(): | ||
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@@ -41,32 +73,30 @@ def test_backward_snowballing(): | |
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def test_forward_snowballing(): | ||
identifiers = [ | ||
"https://openalex.org/W4281483266", | ||
"https://openalex.org/W2008620264", | ||
] | ||
identifiers = [work["id"] for work in WORKS] | ||
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forwards_citations = forward_snowballing(identifiers) | ||
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assert "https://openalex.org/W4386305682" in [ | ||
assert WORKS[0]["cited_by"] in [ | ||
field_dict["id"] for field_dict in forwards_citations[identifiers[0]] | ||
] | ||
assert "https://openalex.org/W2124637492" in [ | ||
assert WORKS[1]["cited_by"] in [ | ||
field_dict["id"] for field_dict in forwards_citations[identifiers[1]] | ||
] | ||
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def test_openalex_id_forward(tmpdir): | ||
out_fp = Path(tmpdir, "forward_all.csv") | ||
out_fp = Path(tmpdir, "forward.csv") | ||
snowball( | ||
input_path=INPUT_DIR / "snowballing_openalex.csv", | ||
output_path=out_fp, | ||
forward=True, | ||
backward=False, | ||
use_all=False, | ||
email=EMAIL, | ||
) | ||
df = pd.read_csv(out_fp) | ||
assert len(df) >= 23 | ||
assert len(df) >= 364 | ||
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all_out_fp = Path(tmpdir, "forward_all.csv") | ||
snowball( | ||
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@@ -75,22 +105,24 @@ def test_openalex_id_forward(tmpdir): | |
forward=True, | ||
backward=False, | ||
use_all=True, | ||
email=EMAIL, | ||
) | ||
df_all = pd.read_csv(all_out_fp) | ||
assert len(df_all) >= 387 | ||
assert len(df_all) >= 656 | ||
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def test_openalex_id_backward(tmpdir): | ||
out_fp = Path(tmpdir, "forward_all.csv") | ||
out_fp = Path(tmpdir, "backward.csv") | ||
snowball( | ||
input_path=INPUT_DIR / "snowballing_openalex.csv", | ||
output_path=out_fp, | ||
forward=False, | ||
backward=True, | ||
use_all=False, | ||
email=EMAIL, | ||
) | ||
df = pd.read_csv(out_fp) | ||
assert len(df) == 31 | ||
assert len(df) == 40 | ||
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all_out_fp = Path(tmpdir, "backward_all.csv") | ||
snowball( | ||
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@@ -99,9 +131,10 @@ def test_openalex_id_backward(tmpdir): | |
forward=False, | ||
backward=True, | ||
use_all=True, | ||
email=EMAIL, | ||
) | ||
df_all = pd.read_csv(all_out_fp) | ||
assert len(df_all) == 117 | ||
assert len(df_all) == 45 | ||
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def test_snowballing_from_doi(tmpdir): | ||
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@@ -112,6 +145,7 @@ def test_snowballing_from_doi(tmpdir): | |
forward=False, | ||
backward=True, | ||
use_all=True, | ||
email=EMAIL, | ||
) | ||
df = pd.read_csv(out_fp) | ||
assert len(df) == 117 | ||
assert len(df) == 45 |