Beispiel #1
0
    def testSix(self):
        tdf = TicDatFactory(plants = [["name"], ["stuff", "otherstuff"]],
                            lines = [["name"], ["plant", "weird stuff"]],
                            line_descriptor = [["name"], ["booger"]],
                            products = [["name"],["gover"]],
                            production = [["line", "product"], ["min", "max"]],
                            pureTestingTable = [[], ["line", "plant", "product", "something"]],
                            extraProduction = [["line", "product"], ["extramin", "extramax"]],
                            weirdProduction = [["line1", "line2", "product"], ["weirdmin", "weirdmax"]])
        tdf.add_foreign_key("production", "lines", ("line", "name"))
        tdf.add_foreign_key("production", "products", ("product", "name"))
        tdf.add_foreign_key("lines", "plants", ("plant", "name"))
        tdf.add_foreign_key("line_descriptor", "lines", ("name", "name"))
        for f in set(tdf.data_fields["pureTestingTable"]).difference({"something"}):
            tdf.add_foreign_key("pureTestingTable", "%ss"%f, (f,"name"))
        tdf.add_foreign_key("extraProduction", "production", (("line", "line"), ("product","product")))
        tdf.add_foreign_key("weirdProduction", "production", (("line1", "line"), ("product","product")))
        tdf.add_foreign_key("weirdProduction", "extraProduction", (("line2","line"), ("product","product")))

        goodDat = tdf.TicDat()
        goodDat.plants["Cleveland"] = ["this", "that"]
        goodDat.plants["Newark"]["otherstuff"] =1
        goodDat.products["widgets"] = goodDat.products["gadgets"] = "shizzle"

        for i,p in enumerate(goodDat.plants):
            goodDat.lines[i]["plant"] = p

        for i,(pl, pd) in enumerate(itertools.product(goodDat.lines, goodDat.products)):
            goodDat.production[pl, pd] = {"min":1, "max":10+i}

        badDat1 = tdf.copy_tic_dat(goodDat)
        badDat1.production["notaline", "widgets"] = [0,1]
        badDat2 = tdf.copy_tic_dat(badDat1)

        fk, fkm = _ForeignKey, _ForeignKeyMapping
        self.assertTrue(tdf.find_foreign_key_failures(badDat1) == tdf.find_foreign_key_failures(badDat2) ==
                        {fk('production', 'lines', fkm('line', 'name'), 'many-to-one'):
                             (('notaline',), (('notaline', 'widgets'),))})
        badDat1.lines["notaline"]["plant"] = badDat2.lines["notaline"]["plant"] = "notnewark"
        self.assertTrue(tdf.find_foreign_key_failures(badDat1) == tdf.find_foreign_key_failures(badDat2) ==
                        {fk('lines', 'plants', fkm('plant', 'name'), 'many-to-one'):
                             (('notnewark',), ('notaline',))})
        tdf.remove_foreign_keys_failures(badDat1, propagate=False)
        tdf.remove_foreign_keys_failures(badDat2, propagate=True)
        self.assertTrue(tdf._same_data(badDat2, goodDat) and not tdf.find_foreign_key_failures(badDat2))
        self.assertTrue(tdf.find_foreign_key_failures(badDat1) ==
                {fk('production', 'lines', fkm('line', 'name'), 'many-to-one'):
                     (('notaline',), (('notaline', 'widgets'),))})

        tdf.remove_foreign_keys_failures(badDat1, propagate=False)
        self.assertTrue(tdf._same_data(badDat1, goodDat) and not tdf.find_foreign_key_failures(badDat1))

        _ = len(goodDat.lines)
        for i,p in enumerate(goodDat.plants.keys() + goodDat.plants.keys()):
            goodDat.lines[i+_]["plant"] = p
        for l in goodDat.lines:
            if i%2:
                goodDat.line_descriptor[l] = i+10

        for i,(l,pl,pdct) in enumerate(sorted(itertools.product(goodDat.lines, goodDat.plants, goodDat.products))):
            goodDat.pureTestingTable.append((l,pl,pdct,i))
        self.assertFalse(tdf.find_foreign_key_failures(goodDat))
        badDat = tdf.copy_tic_dat(goodDat)
        badDat.pureTestingTable.append(("j", "u", "nk", "ay"))
        l = len(goodDat.pureTestingTable)
        self.assertTrue(tdf.find_foreign_key_failures(badDat) ==
         {fk('pureTestingTable', 'plants', fkm('plant', 'name'), 'many-to-one'): (('u',),(l,)),
          fk('pureTestingTable', 'products', fkm('product', 'name'), 'many-to-one'): (('nk',), (l,)),
          fk('pureTestingTable', 'lines', fkm('line', 'name'), 'many-to-one'): (('j',), (l,))})

        obfudat = tdf.obfusimplify(goodDat, freeze_it=True)
        self.assertTrue(all(len(getattr(obfudat.copy, t)) == len(getattr(goodDat, t))
                            for t in tdf.all_tables))
        for n in goodDat.plants.keys() + goodDat.lines.keys() + goodDat.products.keys() :
            self.assertTrue(n in {_[1] for _ in obfudat.renamings.values()})
            self.assertFalse(n in obfudat.renamings)
        self.assertTrue(obfudat.copy.plants['P2']['otherstuff'] == 1)
        self.assertFalse(tdf._same_data(obfudat.copy, goodDat))
        for k,r in obfudat.copy.line_descriptor.items():
            i = r.values()[0] - 10
            self.assertTrue(i%2 and (goodDat.line_descriptor[i].values()[0] == i+10))

        obfudat2 = tdf.obfusimplify(goodDat, {"plants": "P", "lines" : "L", "products" :"PR"})
        self.assertTrue(tdf._same_data(obfudat.copy, obfudat2.copy))

        obfudat3 = tdf.obfusimplify(goodDat, skip_tables=["plants", "lines", "products"])
        self.assertTrue(tdf._same_data(obfudat3.copy, goodDat))

        obfudat4 = tdf.obfusimplify(goodDat, skip_tables=["lines", "products"])
        self.assertFalse(tdf._same_data(obfudat4.copy, goodDat))
        self.assertFalse(tdf._same_data(obfudat4.copy, obfudat.copy))
Beispiel #2
0
    def testFive(self):
        tdf = TicDatFactory(**netflowSchema())
        addNetflowForeignKeys(tdf)
        dat = tdf.freeze_me(tdf.TicDat(**{t : getattr(netflowData(), t) for t in tdf.all_tables}))
        obfudat = tdf.obfusimplify(dat, freeze_it=1)
        self.assertFalse(tdf._same_data(dat, obfudat.copy))
        for (s,d),r in obfudat.copy.arcs.items():
            self.assertFalse((s,d) in dat.arcs)
            self.assertTrue(dat.arcs[obfudat.renamings[s][1], obfudat.renamings[d][1]]["capacity"] == r["capacity"])
        obfudat = tdf.obfusimplify(dat, freeze_it=1, skip_tables=["commodities", "nodes"])
        self.assertTrue(tdf._same_data(obfudat.copy, dat))

        tdf = TicDatFactory(**netflowSchema())
        addNetflowForeignKeys(tdf)
        mone, one2one = "many-to-one",  "one-to-one"
        fk, fkm = _ForeignKey, _ForeignKeyMapping
        self.assertTrue(set(tdf.foreign_keys) ==  {fk("arcs", 'nodes', fkm('source',u'name'), mone),
                            fk("arcs", 'nodes', fkm('destination',u'name'), mone),
                            fk("cost", 'nodes', fkm('source',u'name'), mone),
                            fk("cost", 'nodes', fkm('destination',u'name'), mone),
                            fk("cost", 'commodities', fkm('commodity',u'name'), mone),
                            fk("inflow", 'commodities', fkm('commodity',u'name'), mone),
                            fk("inflow", 'nodes', fkm('node',u'name'), mone)})

        tdf.clear_foreign_keys("cost")
        self.assertTrue(set(tdf.foreign_keys) ==  {fk("arcs", 'nodes', fkm('source',u'name'), mone),
                            fk("arcs", 'nodes', fkm('destination',u'name'), mone),
                            fk("inflow", 'commodities', fkm('commodity',u'name'), mone),
                            fk("inflow", 'nodes', fkm('node',u'name'), mone)})

        tdf = TicDatFactory(**dietSchema())
        self.assertFalse(tdf.foreign_keys)
        addDietForeignKeys(tdf)

        self.assertTrue(set(tdf.foreign_keys) == {fk("nutritionQuantities", 'categories', fkm('category',u'name'), mone),
                                                  fk("nutritionQuantities", 'foods', fkm('food',u'name'), mone)})

        tdf.TicDat()
        self.assertTrue(self.firesException(lambda  : tdf.clear_foreign_keys("nutritionQuantities")))
        self.assertTrue(tdf.foreign_keys)
        tdf = TicDatFactory(**dietSchema())
        addDietForeignKeys(tdf)
        tdf.clear_foreign_keys("nutritionQuantities")
        self.assertFalse(tdf.foreign_keys)

        tdf = TicDatFactory(parentTable = [["pk"],["pd1", "pd2", "pd3"]],
                            goodChild = [["gk"], ["gd1", "gd2"]],
                            badChild = [["bk1", "bk2"], ["bd"]],
                            appendageChild = [["ak"], ["ad1", "ad2"]],
                            appendageBadChild = [["bk1", "bk2"], []])
        tdf.add_foreign_key("goodChild", "parentTable", fkm("gd1" , "pk"))
        tdf.add_foreign_key("badChild", "parentTable", ["bk2" , "pk"])
        self.assertTrue("many-to-many" in self.firesException(lambda :
                tdf.add_foreign_key("badChild", "parentTable", ["bd", "pd2"])))
        tdf.add_foreign_key("appendageChild", "parentTable", ["ak", "pk"])
        tdf.add_foreign_key("appendageBadChild", "badChild", (("bk2", "bk2"), ("bk1","bk1")))
        fks = tdf.foreign_keys
        _getfk = lambda t : next(_ for _ in fks if _.native_table == t)
        self.assertTrue(_getfk("goodChild").cardinality == "many-to-one")
        self.assertTrue(_getfk("badChild").cardinality == "many-to-one")
        self.assertTrue(_getfk("appendageChild").cardinality == "one-to-one")
        self.assertTrue(_getfk("appendageBadChild").cardinality == "one-to-one")

        tdf.clear_foreign_keys("appendageBadChild")
        self.assertTrue(tdf.foreign_keys and "appendageBadChild" not in tdf.foreign_keys)
        tdf.clear_foreign_keys()
        self.assertFalse(tdf.foreign_keys)