funman300
0a7c4e129c
Adds scripts/fifa17-discard-impact.py (owned-instance economic impact, computed from the shipped implementation's matrix -- informational, never a reason to alter a value) and records the measured results. Owned club, 1993 instances: legacy 1,820,700 -> recovered 19,128,031 = 10.51x. Players 10.53x, manager 1.88x, consumables 0.19x (the ladder overpaid them ~5x), staff 0.24x, club items 900 -> 0.
77 lines
2.5 KiB
Python
Executable File
77 lines
2.5 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Economic impact of the recovered discard table, over OWNED instances.
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Informational only: it exists to make the promotion decision explicit, never to
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justify altering a value. Values come from the matrix emitted by
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`cargo run -p openfut-adapter-fifa17 --example discard_matrix`, i.e. the shipped
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implementation.
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Usage:
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python3 scripts/fifa17-discard-impact.py --matrix /tmp/discard-matrix.csv
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"""
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import argparse
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import collections
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import csv
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import sqlite3
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DB = "/home/alex/openfut-sold-staging/staging-core.db"
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--matrix", required=True)
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ap.add_argument("--db", default=DB)
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a = ap.parse_args()
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matrix = {}
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with open(a.matrix) as fh:
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for row in csv.DictReader(fh):
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matrix[row["definition"]] = row
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con = sqlite3.connect("file:%s?mode=ro" % a.db, uri=True)
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owned = con.execute("SELECT card_id, content_kind FROM owned_cards").fetchall()
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con.close()
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by_kind = collections.defaultdict(lambda: [0, 0, 0]) # n, legacy, recovered
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deltas = []
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missing = 0
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for card_id, kind in owned:
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row = matrix.get(card_id)
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if row is None:
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missing += 1
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continue
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legacy = int(row["legacy"])
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rec = int(row["recovered"]) if row["recovered"] != "-" else legacy
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b = by_kind[kind]
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b[0] += 1
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b[1] += legacy
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b[2] += rec
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deltas.append((rec - legacy, kind, card_id, legacy, rec))
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print("OWNED-INSTANCE DISCARD IMPACT (informational)")
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print("%-12s %6s %14s %14s %8s" % ("kind", "n", "legacy", "recovered", "ratio"))
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tl = tr = tn = 0
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for kind in sorted(by_kind):
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n, legacy, rec = by_kind[kind]
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ratio = (rec / legacy) if legacy else 0
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print("%-12s %6d %14s %14s %7.2fx" % (kind, n, f"{legacy:,}", f"{rec:,}", ratio))
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tl += legacy
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tr += rec
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tn += n
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print("%-12s %6d %14s %14s %7.2fx"
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% ("TOTAL", tn, f"{tl:,}", f"{tr:,}", (tr / tl) if tl else 0))
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if missing:
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print("\ndefinitions absent from the matrix: %d" % missing)
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deltas.sort()
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print("\nlargest DECREASES")
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for d, kind, cid, legacy, rec in deltas[:5]:
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print(" %-10s %-18s %6d -> %-7d (%+d)" % (kind, cid, legacy, rec, d))
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print("largest INCREASES")
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for d, kind, cid, legacy, rec in deltas[-5:][::-1]:
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print(" %-10s %-18s %6d -> %-7d (%+d)" % (kind, cid, legacy, rec, d))
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if __name__ == "__main__":
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main()
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