35 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Bash
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			35 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Bash
		
	
	
		
			Executable File
		
	
	
	
	
| #!/usr/bin/env bash
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| # hledger-number - try to extract just one single machine-readable number from hledger:
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| # the grand total of `hledger balance` run with any provided arguments.
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| # Requires hledger 1.24 or newer (the December 2021 release, see https://hledger.org/download.html )
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| # https://gist.github.com/simonmichael/feee7fc1567c5f10355f952b87bd3090
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| 
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| VALUATION_COMMODITY="$"
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| hledger bal -0 -N -X "$VALUATION_COMMODITY" --infer-market-prices -c "$VALUATION_COMMODITY 1000" --layout=bare "$@" | awk '{print $1}'
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| 
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| # Tired of complex financial reports ? This is a silly but fun and
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| # occasionally useful script showing how to get "one number" semi-robustly
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| # without writing a haskell script. With this installed in PATH, then eg:
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| #
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| # $ hledger number lodging
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| # 200
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| #
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| # Explanation:
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| # -0 (--depth 0) hides all but top-level accounts
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| # -N (--no-total) hides the totals line
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| # -X COMM (--value=end,COMM) converts to a single commodity if possible (needs at least one suitable P market price declaration) 
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| # --infer-market-prices guesses P price from conversion transactions if necessary
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| # -c (--commodity-style) sets a predictable number format free of thousands separators
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| # --layout=bare moves the commodity symbol away from the number
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| # awk discards all but the number
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| #
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| # A note: If you're new to hledger/PTA and thinking it shouldn't be this hard..
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| # well of course normally when a hledger user wants to see one number, they run
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| # a much simpler command like `hledger bal lodging` or `hledger reg lodging`.
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| # This script is exploring how to anticipate and neutralise all variations
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| # caused by account structure, number formatting, mulltiple commodities, etc.
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| # so as to *reliably* produce *one machine readable number* from highly diverse
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| # data. As we figure out good approaches we'll build them in so that eg
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| # producing data for charting is as easy as it can be, while still being
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| # general.
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