From 0d05ed981ab860f0b5ee9f8df748988bd9343de8 Mon Sep 17 00:00:00 2001
From: Marty Oehme <marty.oehme@gmail.com>
Date: Mon, 15 Jul 2024 20:42:57 +0200
Subject: [PATCH] chore(code): Create globals singleton

---
 01-codechunks/_prep-data.py | 17 ++++++-----------
 article.qmd                 |  2 +-
 scoping_review.qmd          |  2 +-
 src/globals.py              | 11 +++++++++++
 4 files changed, 19 insertions(+), 13 deletions(-)
 create mode 100644 src/globals.py

diff --git a/01-codechunks/_prep-data.py b/01-codechunks/_prep-data.py
index a2ea1d8..8287e65 100644
--- a/01-codechunks/_prep-data.py
+++ b/01-codechunks/_prep-data.py
@@ -9,15 +9,10 @@ from matplotlib import pyplot as plt
 import seaborn as sns
 from tabulate import tabulate
 import bibtexparser
+import src.globals as g
 
 sns.set_style("whitegrid")
 
-PROJECT_DIR=Path(os.getenv("QUARTO_PROJECT_DIR", "."))
-DATA_DIR=PROJECT_DIR.joinpath("02-data")
-RAW_DATA=DATA_DIR.joinpath("raw")
-WORKING_DATA=DATA_DIR.joinpath("intermediate")
-PROCESSED_DATA=DATA_DIR.joinpath("processed")
-SUPPLEMENTARY_DATA=DATA_DIR.joinpath("supplementary")
 ## Creates 3 important data structures:
 # df: The main dataframe containing all final sample studies
 # df_by_intervention: The same dataframe but split up by individual interventions per study
@@ -26,18 +21,18 @@ SUPPLEMENTARY_DATA=DATA_DIR.joinpath("supplementary")
 from src.process import add_metadata as meta
 
 # raw database-search results
-bib_sample_raw_db = prep_data.bib_library_from_dir(RAW_DATA)
+bib_sample_raw_db = meta.bib_library_from_dir(g.RAW_DATA)
 # the complete library of sampled (and working) literature
-bib_sample = prep_data.bib_library_from_dir(WORKING_DATA)
+bib_sample = meta.bib_library_from_dir(g.WORKING_DATA)
 
 # load relevant studies
 from src.extract import load_data as load
 
 # each observation in a single dataframe
-    raw_observations = load_data.from_yml(PROCESSED_DATA),
-    study_metadata = prep_data.bib_metadata_df(bib_sample),
-    country_groups = prep_data.country_groups_df(Path(f"{SUPPLEMENTARY_DATA}/wb-country-groupings.xlsx")),
 df = meta.observations_with_metadata_df(
+    raw_observations = load.from_yml(g.PROCESSED_DATA),
+    study_metadata = meta.bib_metadata_df(bib_sample),
+    country_groups = meta.country_groups_df(Path(f"{g.SUPPLEMENTARY_DATA}/wb-country-groupings.xlsx")),
 )
 
 # all observations but split per individual intervention
diff --git a/article.qmd b/article.qmd
index 933f43d..0840460 100644
--- a/article.qmd
+++ b/article.qmd
@@ -749,7 +749,7 @@ Internal validity ranking. Adapted from @Maitrot2017.
 #| label: full-search-query
 #| echo: false
 #| output: asis
-with open(f"{SUPPLEMENTARY_DATA}/query.txt") as f:
+with open(f"{g.SUPPLEMENTARY_DATA}/query.txt") as f:
     query = f.read()
 
 t3 = "`" * 3
diff --git a/scoping_review.qmd b/scoping_review.qmd
index 4850557..7163fd5 100644
--- a/scoping_review.qmd
+++ b/scoping_review.qmd
@@ -1700,7 +1700,7 @@ while relying on indicators for measurement which are flexible yet overlapping e
 #| label: full-search-query
 #| echo: false
 #| output: asis
-with open(f"{SUPPLEMENTARY_DATA}/query.txt") as f:
+with open(f"{g.SUPPLEMENTARY_DATA}/query.txt") as f:
     query = f.read()
 
 t3 = "`" * 3
diff --git a/src/globals.py b/src/globals.py
new file mode 100644
index 0000000..76de547
--- /dev/null
+++ b/src/globals.py
@@ -0,0 +1,11 @@
+from pathlib import Path
+import os
+
+PROJECT_DIR=Path(os.getenv("QUARTO_PROJECT_DIR", "."))
+
+DATA_DIR=PROJECT_DIR.joinpath("02-data")
+
+RAW_DATA=DATA_DIR.joinpath("raw")
+WORKING_DATA=DATA_DIR.joinpath("intermediate")
+PROCESSED_DATA=DATA_DIR.joinpath("processed")
+SUPPLEMENTARY_DATA=DATA_DIR.joinpath("supplementary")