flemming-it
3c75ff005f
Standardkostenmodell (Methode des Nationalen Normenkontrollrats): eur_per_year = P × F × T × h P population (Fallzahl) F frequency per year (Frequenz) T tariff in €/h (Tarif) h time per case in hours (Zeitaufwand) Each item preserves the formula string so an auditor can reconstruct the calculation from the Hub audit log without re-running the module. Per-duty tier flags propagate via the Regel-der-niedrigsten-Stufe (Studie §6.7): the aggregate tier_lowest is the worst tier among the duties, so any T4 (qualitative signal) ingredient drags the whole report down to T4. That is intentional — it prevents methodologically weak inputs from masquerading as confidence. Reuse-lens: SKM is EU- and OECD-anerkannt. The Niederländer (ATR), UK (Regulatory Policy Committee) and EU REFIT all use this methodology. This module is meaningful far beyond lawheatmap. Pure in-WASM, zero filesystem, zero network. Reserved for next versions: - 0.2: confidence intervals (P/F/T/h Streuung → output band) - 0.3: industry-tariff lookup (DESTATIS Bruttoverdienst-Reihen) Signed-off-by: flemming-it <sf@flemming.it>
36 lines
828 B
TOML
36 lines
828 B
TOML
[package]
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name = "econ_skm_score"
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version = "0.1.0"
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edition = "2024"
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authors = ["Dr. Stefan Flemming <chain@flemming.ai>"]
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license = "Apache-2.0"
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publish = false
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description = "F∆I module — Standardkostenmodell P×F×T×h per duty, total per norm"
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repository = "https://git.flemming.ws/chain-modules-econ/econ-skm-score"
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rust-version = "1.85"
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[lib]
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crate-type = ["cdylib", "rlib"]
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[dependencies]
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chain-module-sdk = { git = "https://git.flemming.ai/fai/chain-module-sdk-rust.git", branch = "main" }
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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[profile.release]
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opt-level = "s"
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lto = true
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codegen-units = 1
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strip = "symbols"
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[lints.rust]
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unsafe_op_in_unsafe_fn = "warn"
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[lints.clippy]
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unwrap_used = "deny"
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expect_used = "deny"
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panic = "deny"
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print_stdout = "deny"
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print_stderr = "deny"
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[workspace]
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