Add job detail template with execution history and metrics display
- Created a new job_detail.html template extending base.html - Implemented a macro for rendering nested data structures - Added sections for job identification, schedule & timing, status, configuration, execution history, and results - Included a timeline for execution history with visual indicators for job status - Displayed job metrics including total executions, success rate, and average duration - Handled cases for displaying results or indicating absence of results based on job status
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"""Fake recon-config data so dashboard metrics can run without a DB."""
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from __future__ import annotations
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from dataclasses import dataclass
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from datetime import datetime, timedelta
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@dataclass
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class FakeReconConfig:
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reference: str
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name: str
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status: str # "draft" | "published" | "archived"
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frequency: str # "Ad Hoc" | "Intra Day" | "Daily" | "Weekly" | "Monthly" | "Quarterly"
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business_process: str
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start_datetime: datetime | None = None
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def get_fake_configs(now: datetime) -> list[FakeReconConfig]:
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base = now - timedelta(days=120)
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return [
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FakeReconConfig("fx-settlement", "FX Settlement Recon", "published", "Daily", "Treasury", base),
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FakeReconConfig("cash-vs-ledger", "Cash vs Ledger", "published", "Daily", "Finance", base),
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FakeReconConfig("intraday-liquidity", "Intraday Liquidity Sweep", "published", "Intra Day", "Treasury", base),
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FakeReconConfig("eod-positions", "EOD Position Recon", "published", "Daily", "Trading", base),
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FakeReconConfig("weekly-customers", "Customer Master Recon", "published", "Weekly", "Onboarding", base),
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FakeReconConfig("monthly-reg", "Regulatory Reporting Recon", "published", "Monthly", "Compliance", base),
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FakeReconConfig("ad-hoc-aml", "AML Spot Check", "published", "Ad Hoc", "FinCrime", None),
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FakeReconConfig("crypto-wallet", "Crypto Wallet Recon (POC)", "draft", "Daily", "Digital", None),
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FakeReconConfig("legacy-loans", "Legacy Loans Recon", "archived", "Monthly", "Lending", None),
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]
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"""In-memory fake of recon-job data so the dashboard/results views can run
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without a database or the production `app.core.config` / `app.core.refdata`
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modules. Replace with real DB-backed code when wiring up to the real repo.
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from datetime import date, datetime, time, timedelta
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from typing import Optional
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@dataclass
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class FakeReconJob:
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id: int
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name: str
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as_at_date: date
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status: str = "completed"
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status_reason: str = ""
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recon_config_reference: str = "demo-config"
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username: str = "demo.user"
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due_datetime: Optional[datetime] = None
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start_datetime: Optional[datetime] = None
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finish_datetime: Optional[datetime] = None
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results: Optional[dict] = None
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def _at(day: date, hour: int, minute: int = 0) -> datetime:
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return datetime.combine(day, time(hour, minute))
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def get_fake_jobs(now: datetime) -> list[FakeReconJob]:
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today = now.date()
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yesterday = today - timedelta(days=1)
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sample_result_a = {
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"Job": "FX Settlement Recon",
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"As-at": yesterday.isoformat(),
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"Matched": 1284,
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"Unmatched": 12,
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"Status": "Matched",
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"Flag": "None",
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}
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sample_result_b = {
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"Job": "Cash vs Ledger",
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"As-at": yesterday.isoformat(),
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"Matched": 980,
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"Unmatched": 47,
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"Status": "Unmatched",
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"Flag": "Threshold Breach",
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}
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sample_result_c = {
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"Job": "Intraday Liquidity Sweep",
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"As-at": today.isoformat(),
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"Matched": 311,
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"Unmatched": 0,
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"Status": "Matched",
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"Flag": "None",
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}
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jobs: list[FakeReconJob] = [
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# Yesterday — completed runs and one failure
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FakeReconJob(
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id=101, name="FX Settlement Recon", as_at_date=yesterday,
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recon_config_reference="fx-settlement",
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due_datetime=_at(yesterday, 6, 0),
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start_datetime=_at(yesterday, 6, 2),
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finish_datetime=_at(yesterday, 6, 47),
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status="completed", results=sample_result_a,
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),
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FakeReconJob(
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id=102, name="Cash vs Ledger", as_at_date=yesterday,
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recon_config_reference="cash-vs-ledger",
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due_datetime=_at(yesterday, 9, 30),
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start_datetime=_at(yesterday, 9, 33),
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finish_datetime=_at(yesterday, 10, 12),
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status="completed", results=sample_result_b,
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),
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FakeReconJob(
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id=103, name="Intraday Liquidity Sweep", as_at_date=yesterday,
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recon_config_reference="intraday-liquidity",
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due_datetime=_at(yesterday, 13, 0),
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start_datetime=_at(yesterday, 13, 4),
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finish_datetime=_at(yesterday, 13, 35),
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status="completed",
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results={"Job": "Intraday Liquidity Sweep", "As-at": yesterday.isoformat(),
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"Matched": 290, "Unmatched": 4, "Status": "Matched", "Flag": "None"},
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),
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FakeReconJob(
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id=104, name="EOD Position Recon", as_at_date=yesterday,
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recon_config_reference="eod-positions",
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due_datetime=_at(yesterday, 18, 0),
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start_datetime=_at(yesterday, 18, 5),
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finish_datetime=_at(yesterday, 19, 50),
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status="completed",
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),
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FakeReconJob(
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id=105, name="Regulatory Reporting Recon", as_at_date=yesterday,
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recon_config_reference="monthly-reg",
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due_datetime=_at(yesterday, 22, 0),
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start_datetime=_at(yesterday, 22, 3),
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finish_datetime=_at(yesterday, 22, 9),
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status="failed", status_reason="Source feed unavailable",
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),
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# Today — mix of completed, running, scheduled, and a failure
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FakeReconJob(
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id=201, name="FX Settlement Recon", as_at_date=today,
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recon_config_reference="fx-settlement",
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due_datetime=_at(today, 6, 0),
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start_datetime=_at(today, 6, 3),
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finish_datetime=_at(today, 6, 51),
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status="completed", results=sample_result_c,
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),
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FakeReconJob(
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id=202, name="Cash vs Ledger", as_at_date=today,
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recon_config_reference="cash-vs-ledger",
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due_datetime=_at(today, 9, 30),
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start_datetime=max(now - timedelta(minutes=18), _at(today, 0, 0)),
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finish_datetime=None,
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status="running",
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),
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FakeReconJob(
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id=203, name="Intraday Liquidity Sweep", as_at_date=today,
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recon_config_reference="intraday-liquidity",
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due_datetime=_at(today, 13, 0) if now < _at(today, 13, 0) else now + timedelta(hours=1),
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status="created",
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),
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FakeReconJob(
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id=204, name="EOD Position Recon", as_at_date=today,
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recon_config_reference="eod-positions",
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due_datetime=_at(today, 18, 0) if now < _at(today, 18, 0) else now + timedelta(hours=2),
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status="created",
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),
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FakeReconJob(
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id=205, name="AML Spot Check", as_at_date=today,
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recon_config_reference="ad-hoc-aml",
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due_datetime=_at(today, 8, 0),
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start_datetime=_at(today, 8, 2),
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finish_datetime=_at(today, 8, 5),
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status="failed", status_reason="Schema mismatch",
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),
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]
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# Add a 7-day history (excluding the two days above) so totals look real.
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history_template = [
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("FX Settlement Recon", "fx-settlement", 6, 45, "completed"),
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("Cash vs Ledger", "cash-vs-ledger", 9, 42, "completed"),
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("Intraday Liquidity Sweep","intraday-liquidity", 13, 30, "completed"),
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("EOD Position Recon", "eod-positions", 18, 105, "completed"),
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]
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next_id = 300
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for d in range(2, 8):
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day = today - timedelta(days=d)
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for name, ref, hour, duration_min, status in history_template:
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start = _at(day, hour, 5)
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jobs.append(FakeReconJob(
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id=next_id, name=name, as_at_date=day,
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recon_config_reference=ref,
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due_datetime=_at(day, hour, 0),
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start_datetime=start,
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finish_datetime=start + timedelta(minutes=duration_min),
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status=status,
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results={"Matched": 800 + next_id % 500, "Unmatched": (next_id * 3) % 60,
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"Status": "Matched" if (next_id % 5) else "Unmatched", "Flag": "None"},
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))
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next_id += 1
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# Sprinkle in occasional failures
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if d in (3, 5):
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jobs.append(FakeReconJob(
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id=next_id, name="Customer Master Recon", as_at_date=day,
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recon_config_reference="weekly-customers",
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due_datetime=_at(day, 4, 0),
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start_datetime=_at(day, 4, 1),
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finish_datetime=_at(day, 4, 7),
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status="failed", status_reason="Upstream timeout",
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))
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next_id += 1
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return jobs
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