paul
82c7712613
- 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
31 lines
1.7 KiB
Python
31 lines
1.7 KiB
Python
"""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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