|
|
@@ -1,6 +1,7 @@
|
|
|
from __future__ import annotations
|
|
|
|
|
|
import collections
|
|
|
+import dataclasses
|
|
|
import json
|
|
|
import sys
|
|
|
import typing
|
|
|
@@ -19,12 +20,12 @@ def main() -> None:
|
|
|
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'])
|
|
|
+ print(len(planets), expertise, 'planets near', cx)
|
|
|
|
|
|
- coid_code: dict[str, str] = {}
|
|
|
+ coid_code_name: dict[str, tuple[str, str]] = {}
|
|
|
coid_bases = collections.defaultdict(list)
|
|
|
for planet in planets:
|
|
|
print('\t' + planet)
|
|
|
@@ -32,20 +33,24 @@ def main() -> None:
|
|
|
for base in bases:
|
|
|
if (code := base['OwnerCode']) is None:
|
|
|
continue
|
|
|
- coid_code[base['OwnerId']] = code
|
|
|
+ coid_code_name[base['OwnerId']] = code, base['OwnerName']
|
|
|
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', expiry=cache.ONE_DAY).items()}
|
|
|
|
|
|
+ competitors: list[Competitor] = []
|
|
|
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]
|
|
|
+ code, co_name = coid_code_name[company_id]
|
|
|
username = coid_users[company_id]
|
|
|
- print(f'{code}\t{username}')
|
|
|
- print(f'{mat_production["amount"]:10.1f}', ', '.join(bases))
|
|
|
+ competitors.append(Competitor(code, co_name, username, mat_production['amount'], bases))
|
|
|
+ competitors.sort(reverse=True)
|
|
|
+
|
|
|
+ for c in competitors:
|
|
|
+ print(f'{c.code:4} {c.company_name:30} {c.username:20} {c.production:9,.1f}', ', '.join(c.bases))
|
|
|
|
|
|
def iter_expertise(ticker: str) -> typing.Iterator[str]:
|
|
|
buildings: typing.Sequence[company.Building] = cache.get('https://rest.fnar.net/building/allbuildings', expiry=cache.ONE_DAY)
|
|
|
@@ -56,5 +61,16 @@ def iter_expertise(ticker: str) -> typing.Iterator[str]:
|
|
|
print(ticker, 'requires', building['Expertise'])
|
|
|
yield building['Expertise']
|
|
|
|
|
|
+@dataclasses.dataclass(eq=False, frozen=True, slots=True)
|
|
|
+class Competitor:
|
|
|
+ code: str
|
|
|
+ company_name: str
|
|
|
+ username: str
|
|
|
+ production: float
|
|
|
+ bases: typing.Sequence[str]
|
|
|
+
|
|
|
+ def __lt__(self, other: Competitor) -> bool:
|
|
|
+ return self.production < other.production
|
|
|
+
|
|
|
if __name__ == '__main__':
|
|
|
main()
|