349 lines
13 KiB
Nim
349 lines
13 KiB
Nim
#This is the library used to create recipes
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import httpclient, json, sets, strutils, tables, sequtils, nimpy, marshal, math, re, sequtils
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from NimRecipe import `...`
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from NimRecipe import Recipe, Recipeline, fancyamount, htmlconversion
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let client = newHttpClient()
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let fields = ["carbohydrates", "fat", "protein", "sodium", "sugars", "cholesterol", "fiber"]
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#this stuff is all to organize the stuff we read in json
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type packed* = tuple
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name : string
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makeup : OrderedTable[string, float]
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mass : float
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type WrappedNode* = object
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Node*: JsonNode
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type smartVolume = tuple
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metric : float
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grams : int
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type NeutrientMakupe* = ref object of RootObj
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carbs* : float
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fat* : float
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protein* : float
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sodium* : float
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sugars* : float
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cholesterol* : float
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fiber* : float
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#I feel like this will come in handy
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#this simply really just makes sure that every hit has the neutrients makes everything much more safe.
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#last thing you want is your server to crash on startup.
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type Hit* = ref object of NeutrientMakupe
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name : string
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type ReturnedItem* = object
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query : string
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returned : seq[Hit]
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match : float
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method getItems*(a : WrappedNode) : JsonNode {.base.} =
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doAssert a.Node["hits"]["hits"].len() != 0
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return a.Node["hits"]["hits"]
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method getNeutrient*(a : Hit) : NeutrientMakupe {.base.} =
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return NeutrientMakupe(carbs : a.carbs, fat: a.fat, protein: a.protein, sodium : a.sodium, sugars : a.sugars, cholesterol: a.cholesterol, fiber : a.fiber)
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method tablereturn(a : NeutrientMakupe) : OrderedTable[string, float] {.base.} =
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return {"carbohydrates" : a.carbs, "fat" : a.fat, "protein" : a.protein, "sodium" : a.sodium, "sugars": a.sugars, "cholesterol": a.cholesterol, "fiber" : a.fiber }.toOrderedTable()
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let python = pyImport("nimServerStuff")
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proc listOfNouns(name: string) : seq[string] =
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return python.listOfNouns(name).to(seq[string])
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proc generateReturnedItem(query : string, input : WrappedNode|seq[Hit]) : ReturnedItem =
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var conversionlist = initOrderedTable[string, seq[float]]()
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#saves operations
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var newfloat : seq[float]
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for x in fields:
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conversionlist[x]=newfloat
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when input is seq[Hit]:
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return ReturnedItem(query: query, returned: input)
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when input is WrappedNode:
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var constructingnodes : seq[Hit]
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for item in input.getItems():
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#temp thing.
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if item["_source"]["country"].getStr() != "US":
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continue
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var neutrients : seq[float]
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let name = item["_source"]["name_translations"]["en"].getStr()
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for field in fields:
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try: neutrients.add(item["_source"]["nutrients"][field]["per_hundred"].getFloat())
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except: neutrients.add(0.0)
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if neutrients.len != fields.len():
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continue
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#Todo: move to ordered list...
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constructingnodes.add(returnHitDrty(name, neutrients))
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#hopefully maes the seq immutable but i dunno.
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let staticHitSeq = constructingnodes
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return ReturnedItem(query: query, returned: staticHitSeq, match: 0.0)
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#pasta beucause expanding its type deffiniton would have rippes so far im not dealing with it.
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proc avg(a : seq[float] | seq[string]) : float =
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when a is seq[float]:
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return (a.foldl(a+b))/len(a).toFloat()
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else:
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var newx : seq[float]
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for x in a:
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newx.add(parseFloat(x))
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return (newx.foldl(a+b))/len(newx).toFloat()
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proc getAveregeNeutrients*(a : ReturnedItem) : (NeutrientMakupe, string) =
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var conversionlist = initOrderedTable[string, seq[float]]()
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var newfloat : seq[float]
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#creates a seq for every conversion list entry.
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for x in fields:
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conversionlist[x]=newfloat
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#this interesting code...........
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for x in a.returned:
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var newseq = tablereturn(getNeutrient(x))
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for x in fields:
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conversionlist[x].add(newseq[x])
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for x in conversionlist.pairs:
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newfloat.add(avg(x[1]))
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return (NeutrientMakupe(carbs : newfloat[0], fat: newfloat[1], protein: newfloat[2], sodium: newfloat[3],
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sugars: newfloat[4], cholesterol: newfloat[5], fiber : newfloat[6]), a.query)
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proc returnHitDrty(name : string, neutrients : seq[float]) : Hit =
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return Hit(name: name, carbs : neutrients[0], fat: neutrients[1], protein: neutrients[2],
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sodium: neutrients[3], sugars: neutrients[4], cholesterol: neutrients[5], fiber: neutrients[6])
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proc recieveNutrients*(input: string) : ReturnedItem =
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#this uses foodrepo's DB to query our recipes name, parsing only keywords....
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#So, Nim isn't science yet. I need to use python to use native language code.
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#Its slow and janky and sucks; but building native lang from the ground up requires an english degree or something.
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#That is a SEPERATE project that I personally don't have much interest in doing
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let query = listOfNouns(input).join(" ")
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client.headers = newHttpHeaders({ "Content-Type": "application/vnd.api+json",
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"Authorization" : "Token token=07b79e5687507e36edaddd6f022342d1"})
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let body = %*{
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"_source": {
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"includes": [
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"nutrients.protein.per_hundred",
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"nutrients.fiber.per_hundred",
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"nutrients.sodium.per_hundred",
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"nutrients.fat.per_hundred",
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"nutrients.cholesterol.per_hundred",
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"nutrients.sugars.per_hundred",
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"nutrients.carbohydrates.per_hundred",
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"name_translations.en",
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"country"
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]
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},
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"size": 20,
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"query": {
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"query_string": {
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"fields": [
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"name_translations.en"
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],
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"query": query
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}
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}, #why? I dunno
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}
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let response = client.request("https://www.foodrepo.org/api/v3/products/_search", httpMethod = HttpPost, body = $body)
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let parse = parseJson(response.body)
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if parse["hits"]["hits"].len() == 0:
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echo query & " returns an empty hit.........."
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return generateReturnedItem(query, WrappedNode(Node: parse))
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#This is hand ported from a python port of a C one. I don't know specifically how all of this works.
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proc dice_coefficient*(a : string, b : string) : float =
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let a = normalize(a)
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let b = normalize(b)
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if a.len() == 0 or b.len() == 0:
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return 0.0
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var abigramlist : seq[string]
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var bbigramlist : seq[string]
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#Nim's slices are a lot different than pythons.
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for x in 0...len(a)-2:
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abigramlist.add(a[x .. x+1])
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for x in 0...len(b)-2:
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bbigramlist.add(b[x..x+1])
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let aendlist = toHashSet(abigramlist)
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let bendlist = toHashSet(bbigramlist)
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let overlap = len(intersection(aendlist, bendlist))
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return overlap * 2/(len(aendlist) + len(bendlist))
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#this doesn't make the most sense, but it allows me to have the broadest type support.
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proc highestKey*[T](input : OrderedTable[T, float]): seq[T]=
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var highest : float = 0.0
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when input is OrderedTable[string, float]:
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var returnseq : seq[string]
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for tableentry, value in input.pairs:
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if value > highest:
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highest = value
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returnseq.setLen(0)
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returnseq.add(tableentry)
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if value == highest:
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returnseq.add(tableentry)
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return returnseq
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when input is OrderedTable[int, float]:
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var returnseq : seq[int]
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for pair in input.pairs:
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#if the float associated with the index in pair[0] is larger, it resets the list and then add its
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if pair[1] > highest:
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highest = pair[1]
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returnseq.setLen(0)
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returnseq.add(pair[0])
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if pair[1] == highest:
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returnseq.add(pair[0])
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return returnseq
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method highestMatches(a : ReturnedItem) : ReturnedItem {.base.} =
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#i learned a lot about tables here
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#this function took me like 2 hours
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#i am furious
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var returnlist : seq[Hit]
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var ihatetables = initOrderedTable[int, float]()
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for x in 0...a.returned.len()-1:
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ihatetables[x] = dice_coefficient(a.query, a.returned[x].name)
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var key = highestKey(ihatetables)
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for x in key:
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returnlist.add(a.returned[x])
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return ReturnedItem(query: a.query, returned: returnlist)
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#proc printNutrient(a : NeutrientMakupe, b : string) =
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# let table = a.tablereturn
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#var sum : seq[float]
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#echo b
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#for field in fields:
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# echo field & ": " & $table[field] & " Per 100 Grams"
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# sum.add(table[field])
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# echo "total: " & $sum.foldl(a+b)
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proc filterNumber(a : string) : seq[string] =
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let split = a.split(re"[^0-9]")
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var splitparse = filter(split, proc(x: string) : bool = not x.isEmptyOrWhiteSpace)
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return splitparse
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method toString*(a : fancyamount) : string {.base.} =
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if not a.amountnum.contains("Unspecified"):
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return a.amountnum & " " & a.measure & ": "
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else: return a.amountnum & ": "
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let VolumeMeasure* = {["cup", "cups"] : 0.236588, ["quart", "quarts"] : 0.9463519999972047,
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["tablespoons", "tablespoon"] : 0.0147868, ["teaspoon", "teaspoons"] : 0.00492892,
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["pint", "pints"] : 0.473176, ["gallon", "gallons"] : 3.785407999988819,
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["pound", "pounds"] : 435.592, ["ounce", "ounces"] : 28.3495, ["grams", "gram"] : 1.0}.toOrderedTable()
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proc compileFromFile*() : seq[Recipe] =
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let outputrecipes = to[seq[Recipe]](readFile("output.json"))
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return outputrecipes
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proc packArchive*(input : Recipe) : string =
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var output : seq[packed]
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var rec : OrderedTable[string, float]
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var modifier : float
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var recFull : (NeutrientMakupe, string)
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#this code is about to get ugly
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#So in order to convert from american !FUN! numbers, we need to get its density conversions.
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#we find the item based on its closested match according to the dice coefficent.
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let volumeTable = to[OrderedTable[string, smartVolume]](readFile("densityTable.json"))
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var blank = {"carbohydrates" : 0.0, "fat" : 0.0, "protein" : 0.0, "sodium" : 0.0, "sugars": 0.0, "cholesterol": 0.0, "fiber" : 0.0}.toOrderedTable()
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for lines in input.lines:
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let name = lines.ingredients
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if name == "<!DOCTYPE html>":
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continue
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#if it is unspecified we skip a lot of things
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if lines.fancy.amountnum.contains("Unspecified"):
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rec = blank
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output.add((name, rec, 1.0))
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continue
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else:
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#so this fetched the code
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try:
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let recFull = getAveregeNeutrients(highestMatches(recieveNutrients(name)))
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rec = recFull[0].tablereturn
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except:
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#i forgot what this does.
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raise newException(OutOfMemDefect, "Failed to gAN")
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var fancy = lines.fancy
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var fancyamount = fancy.amountnum
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var fancymeasure = fancy.measure
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var volume : float
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var amount : float
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try:
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if fancyamount.contains("/") and fancyamount.contains(" "):
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var temp = fancyamount.split(" ")[1].split("/")
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amount = (parseInt(temp[0])/parseInt(temp[1])) + parseFloat(fancyamount.split(" ")[0])
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elif fancyamount.contains("/") and not fancyamount.contains(" "):
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var temp = fancyamount.split("/")
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amount = parseInt(temp[0])/parseInt(temp[1])
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elif fancyamount.contains "to":
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if fancymeasure == "none":
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amount = 1
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else:
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#we do an averege of all ints in the string.
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amount = avg(filterNumber(fancyamount))
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else:
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for x in htmlconversion[].keys:
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if fancyamount.contains x:
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var temp = htmlconversion[][x].split("/")
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var fract = parseFloat(temp[0])/parseFloat(temp[1])
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var filtertemp = filterNumber(fancyamount)
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if not filtertemp.len() in [0, 1]:
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var a = filtertemp[0]
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amount = parseFloat(a) + fract
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else:
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amount = fract
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break
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else:
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amount = parseInt(fancyamount).toFloat
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except:
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raise newException(OSError, "Failed to parse " & fancyamount & " " & $fancymeasure)
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for x in VolumeMeasure.keys:
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if x.contains(fancymeasure):
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volume = VolumeMeasure[x]
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#smartnum is the amount of volume times the amount given
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#ie 1.5 cup -> 1.5 * 0.236588 (which is metric for a cup)
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var smartnum = volume * amount
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#this does the volume specific guessing.
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if not ["pounds", "pound", "ounce", "ounces", "grams", "gram"].contains fancy.measure:
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#this creates a table of keys and their dice value to the input
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var lookuptable = initOrderedTable[string, float]()
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for entrys in volumeTable.keys:
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lookuptable[entrys] = dice_coefficient(entrys, recFull[1])
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#we use this to grab the tuple of data
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var volumeref = volumeTable[highestKey(lookuptable)[0]]
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var grams = volumeref[1]
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var refvolume = volumeref[0]
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#we then do some basic math to calculate it to "per 100 grams"
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modifier = (grams.toFloat() * smartnum/refvolume) / 100
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else:
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#we dont need to do any of that if its in mass, because we can just get the grams
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modifier = smartnum / 100
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if fancymeasure == "none":
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modifier = 1
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output.add (name, rec, modifier)
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return $$output
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proc unpackArchive*(input : string) : seq[packed] =
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return to[seq[packed]](input)
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proc testFunctions() =
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var test = unpackArchive(packArchive(compileFromFile()[0]))
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for x in test:
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echo x[0]
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echo x[2]
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echo x[1]
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echo "\n"
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quit()
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if isMainModule:
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testFunctions()
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