pruncalc/mat_competitors.py

from __future__ import annotations

import collections
import json
import sys
import typing

import cache
import company
import integration
import planet_bases

def main() -> None:
	cx, ticker = sys.argv[1:]

	(expertise,) = iter_expertise(ticker)

	with open('www/closest.json') as f:
		planet_ids = {planet_id for planet_id, closest_cx in json.load(f).items() if closest_cx == cx}

	planets = []
	print(len(planets), expertise, 'planets near', cx)
	for planet, cogc in company.iter_planet_cogc():
		if planet['PlanetId'] in planet_ids and cogc == expertise:
			planets.append(planet['PlanetName'])

	coid_code: dict[str, str] = {}
	coid_bases = collections.defaultdict(list)
	for planet in planets:
		print('\t' + planet)
		bases = planet_bases.get_bases(planet)
		for base in bases:
			if (code := base['OwnerCode']) is None:
				continue
			coid_code[base['OwnerId']] = code
			coid_bases[base['OwnerId']].append(planet)

	coid_users: dict[str, str] = {company_id: d['Username']
		for company_id, d in cache.get('https://pmmg-products.github.io/reports/data/knownCompanies.json').items()}

	for company_id, co_production in integration.pmmg_monthly_report().items():
		if (mat_production := co_production.get(ticker)) is None:
			continue
		if bases := coid_bases.get(company_id):
			code = coid_code[company_id]
			username = coid_users[company_id]
			print(f'{code}\t{username}')
			print(f'{mat_production["amount"]:10.1f}', ', '.join(bases))

def iter_expertise(ticker: str) -> typing.Iterator[str]:
	buildings: typing.Sequence[company.Building] = cache.get('https://rest.fnar.net/building/allbuildings')
	for building in buildings:
		for recipe in building['Recipes']:
			for output in recipe['Outputs']:
				if output['CommodityTicker'] == ticker:
					print(ticker, 'requires', building['Expertise'])
					yield building['Expertise']

if __name__ == '__main__':
	main()