Implement Phase 0b base project against the frozen test contract
All seven services (gateway, ledger, fraud, sanctions, insights, notifier, audit), db/schema.sql plus optional_indexes.sql, scripts/seed.py and smoke.py, the gateway-served frontend, and docker-compose.yml. Plain-text stdlib logging and a weak manual X-Request-Id only -- no observability yet, by design, per test_no_observability.py. Implements all 13 named chaos-flag pathologies from docs/PATHOLOGIES.md behind Redis-backed runtime flags. make smoke and make test-contract pass; make test-baseline and make test-pathology pass except for a handful of load-sensitive tests documented in tests/README.md rather than papered over.
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import httpx
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from fastapi import FastAPI, Request
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from fastapi.responses import JSONResponse
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from pydantic import BaseModel
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from common.http import downstream_client
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from common.logging_config import configure_logging
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from common.redis_client import redis_client
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from common.settings import settings
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from . import chaos
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from .scoring import score
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SERVICE_NAME = "fraud"
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logger = configure_logging(SERVICE_NAME)
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app = FastAPI(title=SERVICE_NAME)
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class ScoreRequest(BaseModel):
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account_id: str
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holder_name: str
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category_id: int | None = None
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amount_minor: int
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request_id: str = "unknown"
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@app.get("/")
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async def root():
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return {"service": SERVICE_NAME, "version": "0.1.0"}
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@app.get("/healthz")
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async def healthz(request: Request):
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if request.headers.get("X-Ledgerline-Probe") == "chatty-health":
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logger.info("received chatty-health healthz probe from gateway")
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return {"status": "ok", "service": SERVICE_NAME}
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@app.get("/readyz")
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async def readyz():
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try:
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await redis_client.ping()
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except Exception as exc:
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logger.exception(f"readyz check failed: {exc}")
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return JSONResponse(status_code=503, content={"status": "unavailable"})
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return {"status": "ok"}
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@app.post("/internal/score")
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async def score_transaction(body: ScoreRequest):
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logger.info(f"scoring account {body.account_id} request_id={body.request_id}")
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await redis_client.incr("fraud:calls_total")
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if await chaos.blocking_event_loop_enabled():
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logger.info(f"blocking_event_loop chaos engaged for request_id={body.request_id}")
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chaos.synchronous_cpu_work()
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async with downstream_client(body.request_id) as client:
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try:
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resp = await client.post(
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f"{settings.sanctions_url}/internal/lookup",
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json={"holder_name": body.holder_name, "request_id": body.request_id},
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)
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except httpx.TimeoutException:
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logger.exception(f"sanctions lookup timed out for request_id={body.request_id}")
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return JSONResponse(status_code=504, content={"error": "sanctions lookup timed out"})
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except httpx.RequestError as exc:
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logger.exception(f"sanctions lookup failed for request_id={body.request_id}: {exc}")
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return JSONResponse(status_code=502, content={"error": "sanctions lookup failed"})
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if resp.status_code >= 300:
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logger.info(f"sanctions returned {resp.status_code} for request_id={body.request_id}")
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return JSONResponse(status_code=502, content={"error": "sanctions lookup failed"})
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matched = resp.json().get("matched", False)
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risk_score = score(body.category_id, matched)
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return {"risk_score": risk_score, "matched": matched}
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"""blocking_event_loop -- phase-0-base-project-spec.md §7. Owned by `fraud`."""
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import hashlib
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import time
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from common.chaos_flags import is_enabled
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_CPU_WORK_SECONDS = 0.15
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async def blocking_event_loop_enabled() -> bool:
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return await is_enabled("blocking_event_loop")
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def synchronous_cpu_work() -> None:
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"""~120ms of real, synchronous, CPU-bound work run directly inside an
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`async def` handler -- no run_in_executor/to_thread. This is the point:
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it blocks the whole event loop, serialising every other in-flight
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request on this worker for the duration."""
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deadline = time.perf_counter() + _CPU_WORK_SECONDS
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data = b"ledgerline-fraud-scoring"
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while time.perf_counter() < deadline:
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data = hashlib.sha256(data).digest()
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import random
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def category_weight(category_id: int | None) -> float:
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"""A fake but deterministic-ish stand-in for merchant_categories.risk_weight
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(fraud has no direct DB access -- Redis only, per phase-0-base-project-spec.md §4).
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The business logic does not need to be correct, only to produce a plausible
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spread of scores."""
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if category_id is None:
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return 0.3
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return 0.01 + (category_id % 45) / 44 * 0.94
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def score(category_id: int | None, matched: bool) -> float:
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base = category_weight(category_id) * random.uniform(0.05, 0.3)
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if matched:
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return min(1.0, base + random.uniform(0.55, 0.9))
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return min(1.0, base)
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