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update.py
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update.py
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#!/usr/bin/env python
import sys
from datetime import datetime
from pathlib import Path
import pandas as pd
AUTHOR_NAME = "André F. Rendeiro"
PUBS_TEX = {"_cv.tex": "cv.tex", "_lop.tex": "lop.tex"}
INDENT = " "
GRANTS_AWARDS_FORMAT = """\cventry{{{time}}}{{{description}}},{{{funding_body}}}{{{role}}}{{{ammount}}}{{}}"""
grant_fields = [
"time",
"outcome",
"description",
"funding_body",
"role",
"ammount",
"comment",
]
PUB_FORMAT = """\\item {authors}. \\textbf{{{title}}}. {journal} ({year}).\n"""
PUB_FORMAT += """{indent}\\href{{https://dx.doi.org/{doi}}}{{doi:{doi}}}"""
PUBS_CSV = Path("publications.csv")
GRANTS_CSV = Path("grants.csv")
INPUT_DIR = Path("source")
OUTPUT_DIR = Path("source")
DATE = datetime.now().isoformat().split("T")[0]
GOOGLE_SCHOLAR_ID = "lj17pqEAAAAJ"
LAST_AUTHOR_SIGN = r"$^\\Omega$"
main_pub_types = ["journal", "review"]
preprint_types = ["preprint"]
alt_pub_types = ["opinion"]
def main() -> int:
pubs = pd.read_csv(PUBS_CSV).query("publication_type != 'unpublished'")
missing = pubs.loc[~pubs["authors"].str.contains(AUTHOR_NAME)]
join = " - ".join(missing["title"])
reason = f"Some publications authors field missing including '{AUTHOR_NAME}': \n - {join}"
assert missing.empty, reason
#
grants_awards = (
pd.read_csv(GRANTS_CSV).query("applicant == @AUTHOR_NAME").replace(pd.NA, "")
).sort_values("year_applied", ascending=False)
grants_awards["time"] = (
grants_awards["award_start"].astype(pd.Int64Dtype()).astype(str)
+ " - "
+ grants_awards["award_end"].astype(pd.Int64Dtype()).astype(str)
)
s = grants_awards["award_start"].isnull()
grants_awards.loc[s, "time"] = grants_awards.loc[s, "year_applied"]
grants_awards_list = list()
for _, g in grants_awards.iterrows():
p = (
GRANTS_AWARDS_FORMAT.format(**g[grant_fields].to_dict(), indent=INDENT)
# .replace("nan", "")
.replace("},{", "}{")
)
grants_awards_list.append(p)
pub_list = list()
for _, pub in pubs.query("publication_type.isin(@main_pub_types)").iterrows():
p = PUB_FORMAT.format(**pub.to_dict(), indent=INDENT)
p = p.replace(AUTHOR_NAME, f"\\underline{{{AUTHOR_NAME}}}")
pub_list.append(p)
preprint_list = list()
for _, pub in pubs.query("publication_type.isin(@preprint_types)").iterrows():
p = PUB_FORMAT.format(**pub.to_dict(), indent=INDENT)
p = p.replace(AUTHOR_NAME, f"\\underline{{{AUTHOR_NAME}}}")
preprint_list.append(p)
alt_list = list()
for _, pub in pubs.query("publication_type.isin(@alt_pub_types)").iterrows():
p = PUB_FORMAT.format(**pub.to_dict(), indent=INDENT)
p = p.replace(AUTHOR_NAME, f"\\underline{{{AUTHOR_NAME}}}")
alt_list.append(p)
# Publication metrics
metrics = get_google_scholar_metrics()
n_preprints = pubs.query("publication_type.isin(@preprint_types)").shape[0]
n_peer_reviewed = pubs.query("publication_type.isin(@main_pub_types)").shape[0]
ff = AUTHOR_NAME + r"\*"
n_first_author = pubs.query(
f"authors.str.startswith(@AUTHOR_NAME) | authors.str.contains('{ff}')"
).shape[0]
ll = AUTHOR_NAME + LAST_AUTHOR_SIGN
n_last_author = pubs.query(
f"authors.str.endswith(@AUTHOR_NAME) | authors.str.contains('{ll}', regex=False)"
).shape[0]
phrases = [
f"Publications: {pubs.shape[0]} ({n_peer_reviewed} peer reviewed, {n_preprints} preprints, {n_first_author} first-author, {n_last_author} last-author)",
f"Citations: {metrics['citations']} ({metrics['citations_5_years']} last 5 years)",
f"h-index: {metrics['h_index']} ({metrics['h_index_5_years']} last 5 years)",
f"Google Scholar Profile: \\href{{https://scholar.google.com/citations?user={GOOGLE_SCHOLAR_ID}}}{{https://scholar.google.com/citations?user={GOOGLE_SCHOLAR_ID}}}",
]
metrics_text = " ".join([f"\\cvitem{{}}{{\n{INDENT}{ph}}}\n" for ph in phrases])
for input_file, output_file in PUBS_TEX.items():
with open(INPUT_DIR / input_file, "r") as handle:
content = (
handle.read()
.replace(
"{{grants_awards_go_here}}",
("\n" + INDENT).join(grants_awards_list),
)
.replace("{{publications_go_here}}", ("\n\n" + INDENT).join(pub_list))
.replace("{{preprints_go_here}}", ("\n\n" + INDENT).join(preprint_list))
.replace("{{alt_pubs_go_here}}", ("\n\n" + INDENT).join(alt_list))
.replace("{{metrics_go_here}}", metrics_text)
.replace("{{current_date}}", DATE)
)
with open(OUTPUT_DIR / output_file, "w") as handle:
handle.write(content)
return 0
def get_google_scholar_metrics():
"""
Get metrics from Google Scholar profile
"""
# import requests
from selenium import webdriver
from bs4 import BeautifulSoup
url = f"https://scholar.google.at/citations?user={GOOGLE_SCHOLAR_ID}&hl=en"
# req = requests.get(url)
# req.raise_for_status()
# soup = BeautifulSoup(req.content, "html.parser")
ops = webdriver.FirefoxOptions()
ops.add_argument("--headless")
with webdriver.Firefox(options=ops) as driver:
driver.get(url)
html = driver.page_source
soup = BeautifulSoup(html, "html.parser")
metrics = soup.find_all("td", class_="gsc_rsb_std")
citations = metrics[0].text
citations_5_years = metrics[1].text
h_index = metrics[2].text
h_index_5_years = metrics[3].text
return pd.Series(
[citations, citations_5_years, h_index, h_index_5_years],
["citations", "citations_5_years", "h_index", "h_index_5_years"],
)
if __name__ == "__main__":
try:
sys.exit(main())
except KeyboardInterrupt:
sys.exit(1)