converted everything to python

Author: ROODAY

.editorconfig

@@ -0,0 +1,13 @@
+# top-most EditorConfig file
+root = true
+
+# Unix-style newlines with a newline ending every file
+[*]
+end_of_line = lf
+insert_final_newline = true
+
+# 4 space indentation
+[*.py]
+charset = utf-8
+indent_style = space
+indent_size = 4

README.md

@@ -4,8 +4,22 @@ This is where we do the scheduling magic.
 
 ## How to use
 
-1. `getSchoolTimezones.js` averages timezones across a school based on the timezones of the students who RSVP'd from that school.
-2. `orderSchools.py` does the big work, creating a schedule of schools based on the average timezone (preferring to start at 2 PM localized when possible), then using the school schedule to generate a schedule of students (`student schedule utc.csv`). This schedule maximizes the number of students who get a good localized timeslot, but this leads to a very broken up ceremony as students are spread out. To fix this, manually cluster the students using Google Sheets (upload the csv, pick start times for clusters and use the drag autofill feature).
+average school timezones
+generate schedule
+merge schedule
+get uuids
+genereate quote audio
+import sql
+play ceremony audio
+
+
+maybe:
+convert m4a
+reset timeslots
+
+
+1. `average school times.js` averages timezones across a school based on the timezones of the students who RSVP'd from that school.
+2. `gener.py` does the big work, creating a schedule of schools based on the average timezone (preferring to start at 2 PM localized when possible), then using the school schedule to generate a schedule of students (`student schedule utc.csv`). This schedule maximizes the number of students who get a good localized timeslot, but this leads to a very broken up ceremony as students are spread out. To fix this, manually cluster the students using Google Sheets (upload the csv, pick start times for clusters and use the drag autofill feature).
 3. `mergeScheduleWithRSVP.py` creates the final dataset, which includes students' RSVP info, their school start time (UTC), and their start time (UTC). Send an email to people with their start times UTC, and localized if we have their timezone.
 4. get uuids
 5. 
@@ -14,10 +28,12 @@ This is where we do the scheduling magic.
 
 Just make sure you use the autoformatter when you're done (`npm run format`). You'll have to install the Python dependencies (including the formatter, [black](https://github.com/psf/black)) separately from your `npm install`.
 
+black .
+
 # TODO
 
 - add the above sql calls when deleting so that auto increment is fixed
 - fix licenses on all repos here (GPL) and add all the fixins (contributors etc, check the Github community todolist)
 - make all scripts python and add a requirements.txt
 - make all scripts take command line input (either in args/flags or when running if no flags passed)/.env stuff so nothing is hard coded
-- add reset sql script
+- add reset sql script

average_school_timezones.py

@@ -0,0 +1,60 @@
+import csv
+import statistics
+from collections import defaultdict
+
+# load data
+filename = input("Enter contacts filename (default: contacts.csv): ") or "contacts.csv"
+with open("data/{}".format(filename), encoding="utf-8") as scheduleFile:
+    contacts = [
+        {k: v for k, v in row.items()}
+        for row in csv.DictReader(scheduleFile, skipinitialspace=True)
+    ]
+
+# prepare default dicts so we don't have to check if key exists
+school_to_timezones = defaultdict(list)
+school_to_student_count = defaultdict(int)
+
+for contact in contacts:
+    # use default value for schools
+    school = "Unknown" if contact["Your school"] == "" else contact["Your school"]
+
+    # append timezone if it parses, otherwise ignore
+    try:
+        tz = int(contact["Time Zone"])
+        school_to_timezones[school].append(tz)
+    except ValueError:
+        print("No timezone found for {}".format(contact["Your Full Name"]))
+
+    # increment number of students in this school
+    school_to_student_count[school] += 1
+
+schools = []
+SEC_PER_PERSON = 30
+
+# generate data
+for school, timezones in school_to_timezones.items():
+    total_students = school_to_student_count[school]
+    schools.append(
+        {
+            "School": school,
+            "Average Timezone": round(statistics.mean(timezones)),
+            "Students": total_students,
+            "Seconds": round(total_students * SEC_PER_PERSON, 2),
+            "Minutes": round(total_students * SEC_PER_PERSON / 60, 2),
+            "Hours": round(total_students * SEC_PER_PERSON / 60 / 60, 2),
+        }
+    )
+
+# save CSV
+filename = (
+    input("Enter timezones filename (default: school timezones.csv): ")
+    or "school timezones.csv"
+)
+with open(
+    "data/{}".format(filename), "w", encoding="utf-8", newline=""
+) as timezones_file:
+    csvFields = list(schools[0].keys())
+    writer = csv.DictWriter(timezones_file, fieldnames=csvFields)
+    writer.writeheader()
+    writer.writerows(schools)
+    print("\n--> Saved {}".format(filename))

generate_schedule.py

@@ -36,7 +36,10 @@ def comparer(left, right):
 
 
 # load data then sort by descending timezone and ascending school within timezone
-filename = input("Enter timezones filename (default: school timezones.csv): ") or "school timezones.csv"
+filename = (
+    input("Enter timezones filename (default: school timezones.csv): ")
+    or "school timezones.csv"
+)
 with open("data/{}".format(filename), encoding="utf-8") as schoolTimezonesFile:
     data = [
         {k: v if k == "School" else float(v) for k, v in row.items()}
@@ -222,15 +225,18 @@ def __eq__(self, other):
     print(tabulate(print_order, headers="keys"))
 
 # save utc student schedule
-filename = input("Enter student schedule filename (default: student schedule utc.csv): ") or "student schedule utc.csv"
+filename = (
+    input("Enter student schedule filename (default: student schedule utc.csv): ")
+    or "student schedule utc.csv"
+)
 with open(
     "data/{}".format(filename), "w", encoding="utf-8", newline=""
 ) as studentScheduleFile:
     csvFields = list(pretty_order[0].keys())
     writer = csv.DictWriter(studentScheduleFile, fieldnames=csvFields)
     writer.writeheader()
     writer.writerows(pretty_order)
-    print("\n--> Saved student schedule utc.csv!")
+    print("\n--> Saved {}".format(filename))
 
 pretty_order = [
     {

getSchoolTimezones.js

@@ -0,0 +1,41 @@
+import csv
+import requests
+
+# load contacts
+filename = input("Enter contacts filename (default: contacts.csv): ") or "contacts.csv"
+with open("data/{}".format(filename), encoding="utf-8") as scheduleFile:
+    contacts = [
+        {k: v for k, v in row.items()}
+        for row in csv.DictReader(scheduleFile, skipinitialspace=True)
+    ]
+
+# if user says they have minecraft account, fetch their UUID
+def fetch_uuid(contact):
+    if (
+        contact[
+            "I confirm I have a Minecraft Java Edition account or will get one before the ceremony"
+        ]
+        == "Yup, I got it!"
+    ):
+        username = contact["Your Minecraft Username"]
+        data = requests.get("https://api.ashcon.app/mojang/v2/user/{}".format(username))
+        data.json()
+        contact["UUID"] = data["uuid"]
+        return contact
+    else:
+        contact["UUID"] = ""
+        return contact
+
+
+contacts_with_uuids = [fetch_uuid(contact) for contact in contacts]
+
+# save CSV
+filename = input("Enter contacts filename (default: contacts.csv): ") or "contacts.csv"
+with open(
+    "data/{}".format(filename), "w", encoding="utf-8", newline=""
+) as timezones_file:
+    csvFields = list(contacts_with_uuids[0].keys())
+    writer = csv.DictWriter(timezones_file, fieldnames=csvFields)
+    writer.writeheader()
+    writer.writerows(contacts_with_uuids)
+    print("\n--> Saved {}".format(filename))

getUUIDs.js

@@ -10,7 +10,12 @@
 SAVE_SCHOOL_HTML = True
 
 # load clustered schedule (make sure you go make that first in google sheets)
-filename = input("Enter clustered schedule filename (default: student schedule utc clustered.csv): ") or "student schedule utc clustered.csv"
+filename = (
+    input(
+        "Enter clustered schedule filename (default: student schedule utc clustered.csv): "
+    )
+    or "student schedule utc clustered.csv"
+)
 with open("data/{}".format(filename), encoding="utf-8") as file:
     data = [
         {k: v for k, v in row.items()}
@@ -109,23 +114,33 @@
 
 if SAVE_SCHOOL_CSV:
     # save utc school schedule
-    filename = input("Enter school schedule CSV filename (default: school schedule utc.csv): ") or "school schedule utc.csv"
+    filename = (
+        input("Enter school schedule CSV filename (default: school schedule utc.csv): ")
+        or "school schedule utc.csv"
+    )
     with open(
         "data/{}".format(filename), "w", encoding="utf-8", newline=""
     ) as schoolScheduleCSVFile:
         csvFields = ["School", "Start Time"]
         writer = csv.DictWriter(schoolScheduleCSVFile, fieldnames=csvFields)
         writer.writeheader()
         writer.writerows(schoolOrder)
-        print("\n--> Saved FINAL school schedule utc CSV!")
+        print("\n--> Saved {}".format(filename))
 
 if SAVE_SCHOOL_HTML:
     # use tabulate to save html school schedule
-    filename = input("Enter school schedule HTML filename (default: school-schedule.html): ") or "school-schedule.html"
-    with open("data/{}".format(filename), "w", encoding="utf-8") as schoolScheduleHTMLFile:
-        schoolScheduleHTMLFile.write(tabulate(schoolOrder, headers="keys", tablefmt="html"))
+    filename = (
+        input("Enter school schedule HTML filename (default: school-schedule.html): ")
+        or "school-schedule.html"
+    )
+    with open(
+        "data/{}".format(filename), "w", encoding="utf-8"
+    ) as schoolScheduleHTMLFile:
+        schoolScheduleHTMLFile.write(
+            tabulate(schoolOrder, headers="keys", tablefmt="html")
+        )
         print(schoolOrder)
-        print("\n--> Saved FINAL school schedule utc HTML!")
+        print("\n--> Saved {}".format(filename))
 
 # save final dataset
 finalData = []
@@ -138,12 +153,15 @@
     student["Approx Time Zone"] = item["Time Zone"]
     finalData.append(student)
 
-filename = input("Enter student schedule filename (default: student schedule utc.csv): ") or "student schedule utc.csv"
+filename = (
+    input("Enter student schedule filename (default: student schedule utc.csv): ")
+    or "student schedule utc.csv"
+)
 with open(
     "data/{}".format(filename), "w", encoding="utf-8", newline=""
 ) as studentScheduleFile:
     csvFields = list(finalData[0].keys())
     writer = csv.DictWriter(studentScheduleFile, fieldnames=csvFields)
     writer.writeheader()
     writer.writerows(finalData)
-    print("\n--> Saved FINAL student schedule utc.csv!")
+    print("\n--> Saved {}".format(filename))