-
-
Notifications
You must be signed in to change notification settings - Fork 13
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Limit number of requests sent to OpenAlex in tests (#44)
- Loading branch information
1 parent
d71440c
commit d1d78e2
Showing
3 changed files
with
51 additions
and
17 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -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 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,3 +1,3 @@ | ||
,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 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,13 +1,45 @@ | ||
from pathlib import Path | ||
|
||
import pandas as pd | ||
import pyalex | ||
|
||
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 | ||
|
||
INPUT_DIR = Path(__file__).parent / "demo_data" | ||
EMAIL = "[email protected]" | ||
|
||
pyalex.config.email = EMAIL | ||
|
||
# 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", | ||
}, | ||
] | ||
|
||
|
||
def test_openalex_from_doi(): | ||
|
@@ -41,32 +73,30 @@ def test_backward_snowballing(): | |
|
||
|
||
def test_forward_snowballing(): | ||
identifiers = [ | ||
"https://openalex.org/W4281483266", | ||
"https://openalex.org/W2008620264", | ||
] | ||
identifiers = [work["id"] for work in WORKS] | ||
|
||
forwards_citations = forward_snowballing(identifiers) | ||
|
||
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]] | ||
] | ||
|
||
|
||
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 | ||
|
||
all_out_fp = Path(tmpdir, "forward_all.csv") | ||
snowball( | ||
|
@@ -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 | ||
|
||
|
||
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 | ||
|
||
all_out_fp = Path(tmpdir, "backward_all.csv") | ||
snowball( | ||
|
@@ -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 | ||
|
||
|
||
def test_snowballing_from_doi(tmpdir): | ||
|
@@ -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 |