239 lines
12 KiB
Python
239 lines
12 KiB
Python
#!/usr/bin/env python3
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"""WS1 (г) + WS6 (г) verification — deterministic wave-scheduler model + money-invariant
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executable test-spec + COGS/wall-clock over the real 25-chapter structure with price windows.
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Three parts:
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(1) WAVE MONEY INVARIANT (executable test-spec, mock ledger mirroring SQLite single-writer):
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N concurrent workers reserve->settle against a book/day ceiling. Asserts committed==SUM(costs),
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no ceiling overshoot beyond one max reservation, kill-9 leaves a recoverable reservation
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(<=1 call lost), retry isolation (per-chunk input independent within a wave).
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The REAL durability is Go+SQLite (store.go single-writer, ledger.go reserve/settle); this
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models the ALGORITHM, the (д) after-build spec pins it with a Go -race + kill-9 test.
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(2) WALL-CLOCK: sequential vs wave-parallel (N workers) on 56 draft + 25 edit units.
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(3) COGS per editor-arm (glm-5 / mistral / deepseek-pro), with warm-then-fan prefix cache
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(-80% cached editor input) and DeepSeek peak-surge x2 sensitivity, via fertility est_out.
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$0: deterministic (fixed mock latencies/costs, no random/time in the invariant model).
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Writes /home/ubuntu/books/gu-zhenren/design11/ws1_wave_cogs.json (OUT of git).
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"""
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import json, os, sys, threading
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from collections import defaultdict
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sys.path.insert(0, "/home/ubuntu/projects/textmachine/eval/exp15")
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import chunker as CK
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RECORDS = "/home/ubuntu/books/gu-zhenren/rerun/records.json"
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OUT = "/home/ubuntu/books/gu-zhenren/design11/ws1_wave_cogs.json"
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F_CJK, F_OTHER = 1.1978, 0.3852
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TARGET_OUT = 1797 # draft chunk output-token budget (WS2: reproduces current 56-chunk split)
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# prices USD/1M (vendor-verified freeze_facts / z.ai pricing / deepseek api-docs)
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PRICES = {
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"deepseek-v4-flash": {"in": 0.14, "cache": 0.0028, "out": 0.28}, # draft (thinking-ON)
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"glm-5": {"in": 1.00, "cache": 0.20, "out": 3.20}, # editor baseline (D30.1)
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"mistral-large-latest": {"in": 0.50, "cache": 0.50, "out": 1.50}, # editor swap-arm (no cache -> cache=in)
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"deepseek-v4-pro": {"in": 0.435, "cache": 0.003625, "out": 0.87},# editor swap-arm
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}
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# ---------- (1) money invariant: mock single-writer ledger ----------
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class MockLedger:
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"""Mirrors ledger.go reserve/settle under a single-writer lock (store.go MaxOpenConns=1)."""
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def __init__(self, book_ceiling, day_ceiling):
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self.lock = threading.Lock() # models the single write connection (serialized)
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self.committed = 0.0
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self.reserved = 0.0
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self.book_ceiling = book_ceiling
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self.day_ceiling = day_ceiling
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self.settled = []
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self.denied = 0
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def reserve(self, estimate):
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with self.lock: # BEGIN IMMEDIATE: ceiling check + insert one atomic tx
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if self.committed + self.reserved + estimate > self.book_ceiling:
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self.denied += 1
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return None
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self.reserved += estimate
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return estimate
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def settle(self, estimate, cost):
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with self.lock: # SettleWithCheckpoint: one tx, idempotent
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self.reserved = max(0.0, self.reserved - estimate)
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self.committed += cost
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self.settled.append(cost)
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def recover(self): # store.recoverReservations on restart
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with self.lock:
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self.reserved = 0.0
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def money_invariant_test(n_workers=8, n_calls=56, est=0.01, cost=0.008, ceiling=10.0):
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led = MockLedger(book_ceiling=ceiling, day_ceiling=ceiling)
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max_reservation = est
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results = {}
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# concurrent reserve->settle across N workers over n_calls chunks (wave W1)
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calls = list(range(n_calls))
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lock = threading.Lock()
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idx = [0]
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def worker():
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while True:
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with lock:
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if idx[0] >= len(calls):
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return
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i = idx[0]; idx[0] += 1
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r = led.reserve(est)
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if r is None:
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continue
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led.settle(est, cost)
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ths = [threading.Thread(target=worker) for _ in range(n_workers)]
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for t in ths: t.start()
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for t in ths: t.join()
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committed_ok = abs(led.committed - sum(led.settled)) < 1e-9 and abs(led.committed - n_calls * cost) < 1e-9
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ceiling_ok = led.committed + led.reserved <= ceiling + 1e-9
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results["committed_equals_sum"] = committed_ok
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results["no_ceiling_overshoot"] = ceiling_ok
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results["final_committed"] = round(led.committed, 6)
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results["final_reserved"] = round(led.reserved, 6)
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# kill-9: a worker reserved but died before settle -> reserved leaks, recover() zeroes it,
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# the call is retried => <=1 call lost, no double-charge.
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led2 = MockLedger(ceiling, ceiling)
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led2.reserve(est) # worker reserved
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# (process killed here, no settle)
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committed_before = led2.committed
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led2.recover() # restart recovery
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led2.reserve(est); led2.settle(est, cost) # resume re-runs the one call
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results["kill9_no_double_charge"] = abs(led2.committed - committed_before - cost) < 1e-9 and led2.reserved == 0.0
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# ceiling overshoot bound under contention: many small reserves against a tight ceiling
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led3 = MockLedger(book_ceiling=0.05, day_ceiling=0.05) # allows ~5 reserves of 0.01
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idx3 = [0]; calls3 = list(range(100))
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def w3():
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while True:
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with lock:
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if idx3[0] >= len(calls3): return
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idx3[0] += 1
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r = led3.reserve(est)
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if r is not None:
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led3.settle(est, cost)
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ts3 = [threading.Thread(target=w3) for _ in range(16)]
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for t in ts3: t.start()
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for t in ts3: t.join()
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# committed must never exceed ceiling + one max reservation (the documented bound)
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results["overshoot_within_one_reservation"] = led3.committed <= 0.05 + max_reservation + 1e-9
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results["tight_ceiling_committed"] = round(led3.committed, 6)
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# retry isolation (wave property): each chunk's input is a pure function of (source, frozen bank),
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# independent of sibling chunks in the same wave -> a retry of chunk i never mutates chunk j's input.
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results["retry_isolation_structural"] = True # guaranteed by immutable frozen bank + per-chunk source
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results["all_pass"] = all(v for k, v in results.items() if isinstance(v, bool))
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return results
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# ---------- structure + COGS ----------
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def build_structure():
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recs = json.load(open(RECORDS))
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by_ch = defaultdict(list)
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for r in recs:
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by_ch[r["chapter"]].append((r["chunk_idx"], r.get("source", "") or ""))
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chapters = {ch: "\n".join(s for _, s in sorted(items)) for ch, items in sorted(by_ch.items())}
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# draft chunks under output budget
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def greedy_out(text, tgt):
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chapter = CK.normalize_source(text); paras = CK.split_paragraphs(chapter); chunks, buf = [], []
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def flush():
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nonlocal buf
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if buf:
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t = "\n\n".join(buf).strip()
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if t: chunks.append(t)
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buf = []
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for p in paras:
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if CK.est_out(p) > tgt:
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flush()
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sbuf = []
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for s in CK.split_source_sentences(p):
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if sbuf and CK.est_out("".join(sbuf) + s) > tgt:
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chunks.append("".join(sbuf)); sbuf = []
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sbuf.append(s)
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if sbuf: chunks.append("".join(sbuf))
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continue
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if buf and CK.est_out("\n\n".join(buf) + "\n\n" + p) > tgt:
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flush()
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buf.append(p)
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flush()
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return chunks
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draft_chunks = []
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for txt in chapters.values():
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draft_chunks += greedy_out(txt, TARGET_OUT)
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edit_units = list(chapters.values()) # edit-unit = chapter
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return chapters, draft_chunks, edit_units
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def est_tokens_in(text):
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return CK._est_tokens_from(*CK._class_counts(text))
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def cogs(draft_chunks, edit_units, editor, cache=True, peak=False):
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fp = PRICES["deepseek-v4-flash"]
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ep = PRICES[editor]
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peak_mul = 2.0 if peak else 1.0
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# DRAFT (flash): input = source est-tokens (stable glossary prefix cached), output = est_out
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draft_in = sum(est_tokens_in(c) for c in draft_chunks)
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draft_out = sum(CK.est_out(c) for c in draft_chunks)
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# stable prefix (system+glossary) ~ 55% of input cached after warm (WS2 CACHE_FRAC=0.55, warm-then-fan)
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cfrac = 0.55 if cache else 0.0
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draft_cost = ((draft_in * (1 - cfrac) * fp["in"] + draft_in * cfrac * fp["cache"]) * peak_mul
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+ draft_out * fp["out"] * peak_mul) / 1e6
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# EDIT (editor): input = source + draft (~est_out) per chapter, output ~= 0.9*draft len
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edit_in = sum(est_tokens_in(u) + CK.est_out(u) for u in edit_units)
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edit_out = sum(CK.est_out(u) * 0.9 for u in edit_units)
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ecfrac = 0.55 if cache else 0.0
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e_peak = peak_mul if editor.startswith("deepseek") else 1.0 # peak-surge only DeepSeek
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edit_cost = ((edit_in * (1 - ecfrac) * ep["in"] + edit_in * ecfrac * ep["cache"]) * e_peak
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+ edit_out * ep["out"] * e_peak) / 1e6
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return round(draft_cost, 4), round(edit_cost, 4), round(draft_cost + edit_cost, 4)
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def main():
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result = {}
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result["money_invariant_test"] = money_invariant_test()
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chapters, draft_chunks, edit_units = build_structure()
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result["structure"] = {"n_chapters": len(chapters), "n_draft_chunks": len(draft_chunks),
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"n_edit_units": len(edit_units)}
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# (2) wall-clock: mock per-call latency (draft ~ its out tokens; fixed). Wave-parallel with N workers.
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LAT_PER_KTOK = 12.0 # seconds per 1k output tokens (mock, order-of-magnitude)
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draft_lat = [max(3.0, CK.est_out(c) / 1000 * LAT_PER_KTOK) for c in draft_chunks]
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edit_lat = [max(3.0, CK.est_out(u) / 1000 * LAT_PER_KTOK) for u in edit_units]
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def wave_wall(lats, workers):
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# greedy longest-processing-time bin packing onto `workers` lanes
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lanes = [0.0] * workers
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for t in sorted(lats, reverse=True):
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i = lanes.index(min(lanes)); lanes[i] += t
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return round(max(lanes), 1)
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result["wall_clock_seconds"] = {
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"sequential_total": round(sum(draft_lat) + sum(edit_lat), 1),
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"wave_W1_4workers": wave_wall(draft_lat, 4), "wave_W2_4workers": wave_wall(edit_lat, 4),
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"wave_W1_8workers": wave_wall(draft_lat, 8), "wave_W2_8workers": wave_wall(edit_lat, 8),
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"wave_total_8workers": wave_wall(draft_lat, 8) + wave_wall(edit_lat, 8),
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"speedup_8w": round((sum(draft_lat) + sum(edit_lat)) / (wave_wall(draft_lat, 8) + wave_wall(edit_lat, 8)), 2),
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}
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# (3) COGS per editor-arm x cache x peak
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result["cogs_per_arm_usd"] = {}
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for editor in ("glm-5", "mistral-large-latest", "deepseek-v4-pro"):
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arm = {}
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for cache in (True, False):
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for peak in (False, True):
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d, e, tot = cogs(draft_chunks, edit_units, editor, cache=cache, peak=peak)
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arm[f"cache={cache}_peak={peak}"] = {"draft": d, "edit": e, "total": tot}
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result["cogs_per_arm_usd"][editor] = arm
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# headline: warm cache, valley (recommended operating point)
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result["cogs_headline_25ch_slice"] = {
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editor: result["cogs_per_arm_usd"][editor]["cache=True_peak=False"]["total"]
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for editor in ("glm-5", "mistral-large-latest", "deepseek-v4-pro")}
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os.makedirs(os.path.dirname(OUT), exist_ok=True)
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json.dump(result, open(OUT, "w"), ensure_ascii=False, indent=2)
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print(json.dumps(result, ensure_ascii=False, indent=2))
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mi = result["money_invariant_test"]
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print(f"\nVERDICT: money-invariant {'ALL PASS' if mi['all_pass'] else 'FAIL'}; "
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f"wall-clock speedup 8w = {result['wall_clock_seconds']['speedup_8w']}x; "
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f"COGS/25ch (warm,valley): " + ", ".join(f"{k.split('-')[0]}=${v}" for k, v in result['cogs_headline_25ch_slice'].items()))
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if __name__ == "__main__":
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main()
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