add a simple script for converting between the legacy format and the new google-sheets based software

.gitignore

@@ -2,3 +2,6 @@ __pycache__/
 venv/
 test.xlsx
 .~lock.test.xlsx#
+interns.tsv
+sites.tsv
+demographic_data.tsv

convert2gs.py

@@ -0,0 +1,130 @@
+# convert demographic-manager data to google sheets data
+# to be interpreted by gas-demoman
+
+# for information on gas-demoman, see
+# https://git.beepboop.systems/stupidcomputer/gas-demoman
+# and https://github.com/stupidcomputer/gas-demoman
+
+# because the majority of the code that is in this repo
+# is crap, we'll just be reimplementing the existing
+# datastructures
+
+import json
+from typing import Any
+
+def get_json_for_filename(filename: str) -> Any:
+    with open(filename, "r") as file:
+        return json.loads(file.read())
+
+def replace_manifest_filename_references(manifest: dict) -> Any:
+    for site in manifest["sites"]:
+        to_replace = site["usedrecord"]
+        site["usedrecord"] = get_json_for_filename("data/" + site["usedrecord"])["payload"]
+    
+    return manifest
+
+json_data = get_json_for_filename("data/manifest.json")
+json_data = replace_manifest_filename_references(json_data)
+intern_data = get_json_for_filename("data/staffrecord.json")["payload"]
+
+def translate_shortcodes_to_human_readable(shortcode: Any) -> str:
+    mapping = {
+        "a": "Adult",
+        "c": "Child",
+        "wh": "White",
+        "as": "Asian",
+        "f": "Female",
+        "m": "Male",
+        "1+": "More than one race",
+        "nh": "Not Hispanic",
+        "h": "Hispanic",
+        "b/aa": "Black/African American",
+        "unk": "Unknown",
+        "u/o": "Unknown/Other",
+        "ai/an": "American Indian/Alaskan Native",
+        "nh/opi": "Native Hawaiian/Other Pacific Islander",
+        "i": "Intern",
+        "None": "Unknown",
+    }
+
+    return mapping[str(shortcode)]
+
+def generate_intern_data_table(intern_data: dict) -> Any:
+    output = [["First Name", "Last Name", "Gender", "Ethnicity", "Race"]]
+    for intern in intern_data:
+        result = []
+        name = intern["name"].split(' ')
+        result.append(name[0])
+        result.append(name[1])
+        result.append(translate_shortcodes_to_human_readable(intern["innerpayload"]["gender"]))
+        result.append(translate_shortcodes_to_human_readable(intern["innerpayload"]["ethnicity"]))
+        result.append(translate_shortcodes_to_human_readable(intern["innerpayload"]["race"]))
+
+        output.append(result)
+
+    return output
+
+def generate_site_name_data_table(manifest: dict) -> Any:
+    output = [["Site name", "Date", "Those Present", "Data leads", "On-site lead(s)", "Who collected?"]]
+
+    for site in manifest["sites"]:
+        result = []
+        result.append(site["name"])
+        result.append("{} {}".format(
+            site["date"],
+            site["time"],
+        ))
+        result.append(', '.join(site["present"]))
+        result.append(', '.join(site["commleads"]))
+        result.append(', '.join(site["onsiteleads"]))
+        result.append(site["records"][0]["submitter"])
+
+        output.append(result)
+
+    return output
+
+def generate_demographic_data_table(manifest: dict) -> Any:
+    output = [["Site name", "Count", "Age", "Gender", "Ethnicity", "Race"]]
+
+    for site in manifest["sites"]:
+        for datum in site["usedrecord"]:
+            fields = [
+                "age",
+                "gender",
+                "ethnicity",
+                "race"
+            ]
+
+            def mapper(x) -> Any:
+                return translate_shortcodes_to_human_readable(datum[x])
+            
+            fields = map(mapper, fields)
+            final = [site["name"], "1", *fields]
+            output.append(final)
+
+    return output
+
+def convert_table_to_tsv(table: list[list[str]]) -> str:
+    output = ""
+
+    for row in table:
+        output += "\t".join(row)
+        output += "\n"
+    
+    return output
+
+def write_file(filename: str, data: str) -> None:
+    with open(filename, "w") as file:
+        file.write(data)
+
+write_file("demographic_data.tsv", convert_table_to_tsv(
+    generate_demographic_data_table(json_data)
+))
+
+write_file("sites.tsv", convert_table_to_tsv(
+    generate_site_name_data_table(json_data)
+))
+
+write_file("interns.tsv", convert_table_to_tsv(
+    generate_intern_data_table(intern_data)
+))