def testNetflow(self):
tdf = TicDatFactory(**netflowSchema())
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(netflowData(),t) for t in tdf.primary_key_fields}))
filePath = os.path.join(_scratchDir, "netflow.xls")
tdf.xls.write_file(ticDat, filePath)
xlsTicDat = tdf.xls.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, xlsTicDat))
def changeIt() :
xlsTicDat.inflow['Pencils', 'Boston']["quantity"] = 12
self.assertTrue(self.firesException(changeIt))
self.assertTrue(tdf._same_data(ticDat, xlsTicDat))
xlsTicDat = tdf.xls.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, xlsTicDat))
self.assertFalse(self.firesException(changeIt))
self.assertFalse(tdf._same_data(ticDat, xlsTicDat))
self.assertFalse(tdf.xls.get_duplicates(filePath))
pkHacked = netflowSchema()
pkHacked["nodes"][0] = ["nimrod"]
tdfHacked = TicDatFactory(**pkHacked)
self.assertTrue(self.firesException(lambda : tdfHacked.xls.write_file(ticDat, filePath)))
tdfHacked.xls.write_file(ticDat, filePath, allow_overwrite =True)
self.assertTrue("nodes : name" in self.firesException(lambda :tdf.xls.create_tic_dat(filePath)))
def testNetflow(self):
tdf = TicDatFactory(**netflowSchema())
addNetflowForeignKeys(tdf)
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(netflowData(),t) for t in tdf.all_tables}))
filePath = os.path.join(_scratchDir, "netflow.mdb")
tdf.mdb.write_file(ticDat, filePath)
mdbTicDat = tdf.mdb.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, mdbTicDat))
def changeIt() :
mdbTicDat.inflow['Pencils', 'Boston']["quantity"] = 12
self.assertTrue(self.firesException(changeIt))
self.assertTrue(tdf._same_data(ticDat, mdbTicDat))
mdbTicDat = tdf.mdb.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, mdbTicDat))
self.assertFalse(self.firesException(changeIt))
self.assertFalse(tdf._same_data(ticDat, mdbTicDat))
pkHacked = netflowSchema()
pkHacked["nodes"][0] = ["nimrod"]
tdfHacked = TicDatFactory(**pkHacked)
ticDatHacked = tdfHacked.TicDat(**{t : getattr(ticDat, t) for t in tdf.all_tables})
tdfHacked.mdb.write_file(ticDatHacked, makeCleanPath(filePath))
self.assertTrue(self.firesException(lambda : tdfHacked.mdb.write_file(ticDat, filePath)))
tdfHacked.mdb.write_file(ticDat, filePath, allow_overwrite =True)
self.assertTrue("Unable to recognize field name in table nodes" in
self.firesException(lambda :tdf.mdb.create_tic_dat(filePath)))
def testDiet(self):
def doTheTests(tdf) :
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(dietData(),t) for t in tdf.primary_key_fields}))
filePath = makeCleanPath(os.path.join(_scratchDir, "diet.db"))
tdf.sql.write_db_data(ticDat, filePath)
sqlTicDat = tdf.sql.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, sqlTicDat))
def changeit() :
sqlTicDat.categories["calories"]["minNutrition"]=12
changeit()
self.assertFalse(tdf._same_data(ticDat, sqlTicDat))
self.assertTrue(self.firesException(lambda : tdf.sql.write_db_data(ticDat, filePath)))
tdf.sql.write_db_data(ticDat, filePath, allow_overwrite=True)
sqlTicDat = tdf.sql.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, sqlTicDat))
self.assertTrue(self.firesException(changeit))
self.assertTrue(tdf._same_data(ticDat, sqlTicDat))
filePath = makeCleanPath(os.path.join(_scratchDir, "diet.sql"))
tdf.sql.write_sql_file(ticDat, filePath)
sqlTicDat = tdf.sql.create_tic_dat_from_sql(filePath)
self.assertTrue(tdf._same_data(ticDat, sqlTicDat))
changeit()
self.assertFalse(tdf._same_data(ticDat, sqlTicDat))
tdf.sql.write_sql_file(ticDat, filePath, include_schema=True)
sqlTicDat = tdf.sql.create_tic_dat_from_sql(filePath, includes_schema=True, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, sqlTicDat))
self.assertTrue(self.firesException(changeit))
self.assertTrue(tdf._same_data(ticDat, sqlTicDat))
doTheTests(TicDatFactory(**dietSchema()))
tdf = TicDatFactory(**dietSchema())
self.assertFalse(tdf.foreign_keys)
tdf.set_default_values(categories = {'maxNutrition': float("inf"), 'minNutrition': 0.0},
foods = {'cost': 0.0},
nutritionQuantities = {'qty': 0.0})
addDietForeignKeys(tdf)
ordered = tdf.sql._ordered_tables()
self.assertTrue(ordered.index("categories") < ordered.index("nutritionQuantities"))
self.assertTrue(ordered.index("foods") < ordered.index("nutritionQuantities"))
ticDat = tdf.TicDat(**{t:getattr(dietData(),t) for t in tdf.primary_key_fields})
origTicDat = tdf.copy_tic_dat(ticDat)
self.assertTrue(tdf._same_data(ticDat, origTicDat))
self.assertFalse(tdf.find_foreign_key_failures(ticDat))
ticDat.nutritionQuantities['hot dog', 'boger'] = ticDat.nutritionQuantities['junk', 'protein'] = -12
self.assertTrue(tdf.find_foreign_key_failures(ticDat) ==
{('nutritionQuantities', 'foods', ('food', 'name'), 'many-to-one'): (('junk',), (('junk', 'protein'),)),
('nutritionQuantities', 'categories', ('category', 'name'), 'many-to-one'):
(('boger',), (('hot dog', 'boger'),))})
self.assertFalse(tdf._same_data(ticDat, origTicDat))
tdf.remove_foreign_keys_failures(ticDat)
self.assertFalse(tdf.find_foreign_key_failures(ticDat))
self.assertTrue(tdf._same_data(ticDat, origTicDat))
doTheTests(tdf)
def testFour(self):
objOrig = sillyMeData()
staticFactory = TicDatFactory(**sillyMeSchema())
goodTable = lambda t : lambda _t : staticFactory.good_tic_dat_table(_t, t)
tables = set(staticFactory.primary_key_fields)
ticDat = staticFactory.freeze_me(staticFactory.TicDat(**objOrig))
self.assertTrue(staticFactory.good_tic_dat_object(ticDat))
for t in tables :
self._assertSame(objOrig[t], getattr(ticDat,t), goodTable(t))
pickedData = staticFactory.TicDat(**staticFactory.as_dict(ticDat))
self.assertTrue(staticFactory._same_data(ticDat, pickedData))
mutTicDat = staticFactory.TicDat()
for k,v in ticDat.a.items() :
mutTicDat.a[k] = v.values()
for k,v in ticDat.b.items() :
mutTicDat.b[k] = v.values()[0]
for r in ticDat.c:
mutTicDat.c.append(r)
for t in tables :
self._assertSame(getattr(mutTicDat, t), getattr(ticDat,t), goodTable(t))
self.assertTrue("theboger" not in mutTicDat.a)
mutTicDat.a["theboger"]["aData2"] =22
self.assertTrue("theboger" in mutTicDat.a and mutTicDat.a["theboger"].values() == (0, 22, 0))
newSchema = sillyMeSchema()
newSchema["a"][1] += ("aData4",)
newFactory = TicDatFactory(**newSchema)
def makeNewTicDat() : return newFactory.TicDat(a=ticDat.a, b=ticDat.b, c=ticDat.c)
newTicDat = makeNewTicDat()
self.assertFalse(staticFactory.good_tic_dat_object(newTicDat))
self.assertTrue(newFactory.good_tic_dat_object(ticDat))
self.assertTrue(newFactory._same_data(makeNewTicDat(), newTicDat))
newTicDat.a[ticDat.a.keys()[0]]["aData4"]=12
self.assertFalse(newFactory._same_data(makeNewTicDat(), newTicDat))
def testNetflow(self):
tdf = TicDatFactory(**netflowSchema())
ticDat = tdf.TicDat(**{t:getattr(netflowData(),t) for t in tdf.primary_key_fields})
dirPath = os.path.join(_scratchDir, "netflow")
tdf.csv.write_directory(ticDat, dirPath)
csvTicDat = tdf.csv.create_tic_dat(dirPath, freeze_it=True)
self.assertFalse(tdf.csv.get_duplicates(dirPath))
self.assertTrue(tdf._same_data(ticDat, csvTicDat))
csvTicDat = tdf.csv.create_tic_dat(dirPath, freeze_it= True, headers_present=False)
self.assertFalse(tdf._same_data(ticDat, csvTicDat))
tdf.csv.write_directory(ticDat, dirPath, write_header=False,allow_overwrite=True)
self.assertTrue(self.firesException(lambda : tdf.csv.create_tic_dat(dirPath, freeze_it=True)))
csvTicDat = tdf.csv.create_tic_dat(dirPath, headers_present=False, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, csvTicDat))
ticDat.nodes[12] = {}
tdf.csv.write_directory(ticDat, dirPath, allow_overwrite=True)
csvTicDat = tdf.csv.create_tic_dat(dirPath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, csvTicDat))
# minor flaw - strings that are floatable get turned into floats when reading csvs
del(ticDat.nodes[12])
ticDat.nodes['12'] = {}
self.assertTrue(firesException(lambda : tdf.csv.write_directory(ticDat, dirPath)))
tdf.csv.write_directory(ticDat, dirPath, allow_overwrite=True)
csvTicDat = tdf.csv.create_tic_dat(dirPath, freeze_it=True)
self.assertFalse(tdf._same_data(ticDat, csvTicDat))
def testSilly(self):
if not self.can_run:
return
tdf = TicDatFactory(**sillyMeSchema())
ticDat = tdf.TicDat(**sillyMeData())
schema2 = sillyMeSchema()
schema2["b"][0] = ("bField2", "bField1", "bField3")
schema3 = sillyMeSchema()
schema3["a"][1] = ("aData2", "aData3", "aData1")
schema4 = sillyMeSchema()
schema4["a"][1] = ("aData1", "aData3")
schema5 = sillyMeSchema()
_tuple = lambda x : tuple(x) if utils.containerish(x) else (x,)
for t in ("a", "b") :
schema5[t][1] = _tuple(schema5[t][1]) + _tuple(schema5[t][0])
schema5["a"][0], schema5["b"][0] = (), []
schema6 = sillyMeSchema()
schema6["d"] = [["dField"],()]
tdf2, tdf3, tdf4, tdf5, tdf6 = (TicDatFactory(**x) for x in (schema2, schema3, schema4, schema5, schema6))
tdf5.set_generator_tables(("a","c"))
tdf5 = tdf5.clone()
filePath = os.path.join(_scratchDir, "silly.db")
tdf.sql.write_db_data(ticDat, filePath)
self.assertFalse(tdf.sql.find_duplicates(filePath))
ticDat2 = tdf2.sql.create_tic_dat(filePath)
self.assertFalse(tdf._same_data(ticDat, ticDat2))
ticDat3 = tdf3.sql.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, ticDat3))
ticDat4 = tdf4.sql.create_tic_dat(filePath)
for t in ["a","b"]:
for k,v in getattr(ticDat4, t).items() :
for _k, _v in v.items() :
self.assertTrue(getattr(ticDat, t)[k][_k] == _v)
if set(v) == set(getattr(ticDat, t)[k]) :
self.assertTrue(t == "b")
else :
self.assertTrue(t == "a")
ticDat5 = tdf5.sql.create_tic_dat(filePath)
self.assertTrue(tdf5._same_data(tdf._keyless(ticDat), ticDat5))
self.assertTrue(callable(ticDat5.a) and callable(ticDat5.c) and not callable(ticDat5.b))
self.assertTrue("table d" in self.firesException(lambda : tdf6.sql.create_tic_dat(filePath)))
ticDat.a["theboger"] = (1, None, 12)
if am_on_windows:
filePath = filePath.replace("silly.db", "silly_2.db") # working around issue opalytics/opalytics-ticdat#153
tdf.sql.write_db_data(ticDat, makeCleanPath(filePath))
ticDatNone = tdf.sql.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, ticDatNone))
self.assertTrue(ticDatNone.a["theboger"]["aData2"] == None)
def testSilly(self):
tdf = TicDatFactory(**sillyMeSchema())
tdf.enable_foreign_key_links()
oldDat = tdf.freeze_me(tdf.TicDat(**sillyMeData()))
oldDatStr = create_opl_text(tdf, oldDat)
newDat = read_opl_text(tdf, oldDatStr)
self.assertTrue(tdf._same_data(oldDat, newDat))
tdf.opl_prepend = "ooooo"
oldDatStr = create_opl_text(tdf, oldDat)
newDat = read_opl_text(tdf, oldDatStr)
self.assertTrue(tdf._same_data(oldDat, newDat))
def testDiet(self):
if not self.can_run:
return
for verbose in [True, False]:
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(**{
t: getattr(dietData(), t)
for t in tdf.primary_key_fields
}))
writePath = os.path.join(
makeCleanDir(os.path.join(_scratchDir, "diet")), "file.json")
tdf.json.write_file(ticDat, writePath, verbose=verbose)
self.assertFalse(tdf.json.find_duplicates(writePath))
jsonTicDat = tdf.json.create_tic_dat(writePath)
self.assertTrue(tdf._same_data(ticDat, jsonTicDat))
def change():
jsonTicDat.categories["calories"]["minNutrition"] = 12
self.assertFalse(firesException(change))
self.assertFalse(tdf._same_data(ticDat, jsonTicDat))
jsonTicDat = tdf.json.create_tic_dat(writePath, freeze_it=True)
self.assertTrue(firesException(change))
self.assertTrue(tdf._same_data(ticDat, jsonTicDat))
tdf2 = TicDatFactory(**dietSchemaWeirdCase())
dat2 = copyDataDietWeirdCase(ticDat)
tdf2.json.write_file(dat2,
writePath,
allow_overwrite=True,
verbose=verbose)
jsonTicDat2 = tdf.json.create_tic_dat(writePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, jsonTicDat2))
tdf3 = TicDatFactory(**dietSchemaWeirdCase2())
dat3 = copyDataDietWeirdCase2(ticDat)
tdf3.json.write_file(dat3,
writePath,
allow_overwrite=True,
verbose=verbose)
with open(writePath, "r") as f:
jdict = json.load(f)
jdict["nutrition quantities"] = jdict["nutrition_quantities"]
del (jdict["nutrition_quantities"])
with open(writePath, "w") as f:
json.dump(jdict, f)
jsonDat3 = tdf3.json.create_tic_dat(writePath)
self.assertTrue(tdf3._same_data(dat3, jsonDat3))
jdict["nutrition_quantities"] = jdict["nutrition quantities"]
with open(writePath, "w") as f:
json.dump(jdict, f)
self.assertTrue(
self.firesException(lambda: tdf3.json.create_tic_dat(writePath)))
def testNetflow(self):
if not self.can_run:
return
for hack, raw_data in list(product(*(([True, False],)*2))):
tdf = TicDatFactory(**netflowSchema())
ticDat = tdf.copy_tic_dat(netflowData())
self.assertTrue(tdf._same_data(ticDat, tdf.opalytics.create_tic_dat(
create_inputset_mock(tdf, ticDat, hack), raw_data=raw_data)))
ticDat.nodes[12] = {}
self.assertTrue(tdf._same_data(ticDat, tdf.opalytics.create_tic_dat(
create_inputset_mock(tdf, ticDat, hack), raw_data=raw_data)))
def testSillyTwoTables(self):
if not self.can_run:
return
for hack, raw_data in list(product(*(([True, False],)*2))):
tdf = TicDatFactory(**sillyMeSchema())
ticDat = tdf.TicDat(**sillyMeData())
self.assertTrue(tdf._same_data(ticDat, tdf.opalytics.create_tic_dat(
create_inputset_mock(tdf, ticDat, hack), raw_data=raw_data)))
ticDat = tdf.TicDat(**sillyMeDataTwoTables())
self.assertTrue(tdf._same_data(ticDat, tdf.opalytics.create_tic_dat(
create_inputset_mock(tdf, ticDat, hack), raw_data=raw_data)))
def testBooleansAndNulls(self):
tdf = TicDatFactory(table=[["field one"], ["field two"]])
dat = tdf.TicDat(table=[[None, 100], [200, True], [False, 300],
[300, None], [400, False]])
file_one = os.path.join(_scratchDir, "boolDefaults_1.json")
file_two = os.path.join(_scratchDir, "boolDefaults_2.json")
tdf.json.write_file(dat, file_one, verbose=True)
tdf.json.write_file(dat, file_two, verbose=False)
dat_1 = tdf.json.create_tic_dat(file_one)
dat_2 = tdf.json.create_tic_dat(file_two)
self.assertTrue(tdf._same_data(dat, dat_1))
self.assertTrue(tdf._same_data(dat, dat_2))
tdf = TicDatFactory(table=[["field one"], ["field two"]])
for f in ["field one", "field two"]:
tdf.set_data_type("table", f, max=float("inf"), inclusive_max=True)
tdf.set_infinity_io_flag(None)
dat_inf = tdf.TicDat(
table=[[float("inf"), 100], [200, True], [False, 300],
[300, float("inf")], [400, False]])
dat_1 = tdf.json.create_tic_dat(file_one)
dat_2 = tdf.json.create_tic_dat(file_two)
self.assertTrue(tdf._same_data(dat_inf, dat_1))
self.assertTrue(tdf._same_data(dat_inf, dat_2))
tdf.json.write_file(dat_inf,
file_one,
verbose=True,
allow_overwrite=True)
tdf.json.write_file(dat_inf,
file_two,
verbose=False,
allow_overwrite=True)
dat_1 = tdf.json.create_tic_dat(file_one)
dat_2 = tdf.json.create_tic_dat(file_two)
self.assertTrue(tdf._same_data(dat_inf, dat_1))
self.assertTrue(tdf._same_data(dat_inf, dat_2))
tdf = TicDatFactory(table=[["field one"], ["field two"]])
for f in ["field one", "field two"]:
tdf.set_data_type("table",
f,
min=-float("inf"),
inclusive_min=True)
tdf.set_infinity_io_flag(None)
dat_1 = tdf.json.create_tic_dat(file_one)
dat_2 = tdf.json.create_tic_dat(file_two)
self.assertFalse(tdf._same_data(dat_inf, dat_1))
self.assertFalse(tdf._same_data(dat_inf, dat_2))
dat_inf = tdf.TicDat(
table=[[float("-inf"), 100], [200, True], [False, 300],
[300, -float("inf")], [400, False]])
self.assertTrue(tdf._same_data(dat_inf, dat_1))
self.assertTrue(tdf._same_data(dat_inf, dat_2))
def test_(schema_factory, data_factory):
tdf = TicDatFactory(**schema_factory())
dat = tdf.copy_tic_dat(data_factory())
mapping = tlingo._try_create_space_case_mapping(tdf,
dat)["mapping"]
remapdat = tlingo._apply_space_case_mapping(
tdf, dat, {v: k
for k, v in mapping.items()})
mapmapdat = tlingo._apply_space_case_mapping(
tdf, remapdat, mapping)
self.assertTrue(tdf._same_data(dat, mapmapdat))
self.assertFalse(tdf._same_data(dat, remapdat))
def test_missing_tables(self):
path = os.path.join(_scratchDir, "missing")
tdf_1 = TicDatFactory(this=[["Something"], ["Another"]])
tdf_2 = TicDatFactory(
**dict(tdf_1.schema(), that=[["What", "Ever"], []]))
dat = tdf_1.TicDat(this=[["a", 2], ["b", 3], ["c", 5]])
tdf_1.sql.write_sql_file(dat, path + ".sql")
sql_dat = tdf_2.sql.create_tic_dat_from_sql(path + ".sql")
self.assertTrue(tdf_1._same_data(dat, sql_dat))
tdf_1.sql.write_db_data(dat, path + ".db")
sql_dat = tdf_2.sql.create_tic_dat(path + ".db")
self.assertTrue(tdf_1._same_data(dat, sql_dat))
def testDietCleaningThree_2(self):
tdf = TicDatFactory(**dietSchema())
addDietForeignKeys(tdf)
ticDat = tdf.copy_tic_dat(dietData())
ticDat.categories.pop("fat")
input_set = create_inputset_mock(tdf, ticDat)
self.assertTrue(tdf._same_data(tdf.opalytics.create_tic_dat(input_set, raw_data=True), ticDat))
ticDatPurged = tdf.opalytics.create_tic_dat(input_set, raw_data=False)
self.assertFalse(tdf._same_data(ticDatPurged, ticDat))
tdf.remove_foreign_key_failures(ticDat)
self.assertTrue(tdf._same_data(ticDatPurged, ticDat))
def testDietWithInfFlagging(self):
tdf = TicDatFactory(**dietSchema())
dat = tdf.copy_tic_dat(dietData())
tdf.set_infinity_io_flag(999999999)
path = os.path.join(_scratchDir, "dietInfFlag")
tdf.csv.write_directory(dat, path)
dat_1 = tdf.csv.create_tic_dat(path)
self.assertTrue(tdf._same_data(dat, dat_1))
tdf = tdf.clone()
dat_1 = tdf.csv.create_tic_dat(path)
self.assertTrue(tdf._same_data(dat, dat_1))
tdf = TicDatFactory(**dietSchema())
dat_1 = tdf.csv.create_tic_dat(path)
self.assertFalse(tdf._same_data(dat, dat_1))
def testSilly(self):
tdf = TicDatFactory(**sillyMeSchema())
ticDat = tdf.TicDat(**sillyMeData())
schema2 = sillyMeSchema()
schema2["b"][0] = ("bField2", "bField1", "bField3")
schema3 = sillyMeSchema()
schema3["a"][1] = ("aData2", "aData3", "aData1")
schema4 = sillyMeSchema()
schema4["a"][1] = ("aData1", "aData3")
schema5 = sillyMeSchema()
_tuple = lambda x : tuple(x) if utils.containerish(x) else (x,)
for t in ("a", "b") :
schema5[t][1] = _tuple(schema5[t][1]) + _tuple(schema5[t][0])
schema5["a"][0], schema5["b"][0] = (), []
schema6 = sillyMeSchema()
schema6["d"] = [["dField"],()]
tdf2, tdf3, tdf4, tdf5, tdf6 = (TicDatFactory(**x) for x in (schema2, schema3, schema4, schema5, schema6))
tdf5.set_generator_tables(("a","c"))
filePath = os.path.join(_scratchDir, "silly.db")
tdf.sql.write_db_data(ticDat, filePath)
ticDat2 = tdf2.sql.create_tic_dat(filePath)
self.assertFalse(tdf._same_data(ticDat, ticDat2))
ticDat3 = tdf3.sql.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, ticDat3))
ticDat4 = tdf4.sql.create_tic_dat(filePath)
for t in ["a","b"]:
for k,v in getattr(ticDat4, t).items() :
for _k, _v in v.items() :
self.assertTrue(getattr(ticDat, t)[k][_k] == _v)
if set(v) == set(getattr(ticDat, t)[k]) :
self.assertTrue(t == "b")
else :
self.assertTrue(t == "a")
ticDat5 = tdf5.sql.create_tic_dat(filePath)
self.assertTrue(tdf5._same_data(tdf._keyless(ticDat), ticDat5))
self.assertTrue(callable(ticDat5.a) and callable(ticDat5.c) and not callable(ticDat5.b))
self.assertTrue("table d" in self.firesException(lambda : tdf6.sql.create_tic_dat(filePath)))
ticDat.a["theboger"] = (1, None, 12)
tdf.sql.write_db_data(ticDat, makeCleanPath(filePath))
ticDatNone = tdf.sql.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, ticDatNone))
self.assertTrue(ticDatNone.a["theboger"]["aData2"] == None)
def testSpacey(self):
if not _can_accdb_unit_test:
return
tdf = TicDatFactory(**spacesSchema())
spacesData = {
"a_table": {
1: {
"a Data 3": 3,
"a Data 2": 2,
"a Data 1": 1
},
22: (1.1, 12, 12),
0.23: (11, 12, 11)
},
"b_table": {
("1", "2", "3"): 1,
("a", "b", "b"): 12
},
"c_table": (("1", "2", "3", 4), {
"c Data 4": 55,
"c Data 2": "b",
"c Data 3": "c",
"c Data 1": "a"
}, ("a", "b", "12", 24))
}
dat = tdf.TicDat(**spacesData)
filePath = makeCleanPath(os.path.join(_scratchDir, "spacey.accdb"))
tdf.mdb.write_schema(filePath,
a_table={"a Field": "double"},
c_table={
"c Data 1": "text",
"c Data 2": "text",
"c Data 3": "text",
"c Data 4": "int"
})
tdf.mdb.write_file(dat, filePath)
self.assertFalse(tdf.mdb.find_duplicates(filePath))
dat2 = tdf.mdb.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(dat, dat2))
with py.connect(_connection_str(filePath)) as con:
for t in tdf.all_tables:
con.cursor().execute("SELECT * INTO [%s] FROM %s" %
(t.replace("_", " "), t)).commit()
con.cursor().execute("DROP TABLE %s" % t).commit()
#shutil.copy(filePath, "spaces.accdb") #uncomment to make readonly test file as .accdb
dat3 = tdf.mdb.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(dat, dat3))
def testSillyCleaningTwo(self):
tdf = TicDatFactory(**sillyMeSchema())
tdf.add_data_row_predicate("c", lambda row : row["cData4"] == 'd')
ticDat = tdf.TicDat(**sillyMeData())
input_set = create_inputset_mock(tdf, ticDat)
self.assertTrue(tdf._same_data(tdf.opalytics.create_tic_dat(input_set, raw_data=True), ticDat))
ticDatPurged = tdf.opalytics.create_tic_dat(input_set)
self.assertFalse(tdf._same_data(ticDatPurged, ticDat))
ticDat.c.pop()
ticDat.c.pop(0)
self.assertTrue(tdf._same_data(ticDatPurged, ticDat))
def testNetflow(self):
tdf = TicDatFactory(**netflowSchema())
tdf.enable_foreign_key_links()
oldDat = tdf.freeze_me(
tdf.TicDat(
**
{t: getattr(netflowData(), t)
for t in tdf.primary_key_fields}))
oldDatStr = create_opl_text(tdf, oldDat)
newDat = read_opl_text(tdf, oldDatStr)
self.assertTrue(tdf._same_data(oldDat, newDat))
tdf.opl_prepend = "stuff"
oldDatStr = create_opl_text(tdf, oldDat)
newDat = read_opl_text(tdf, oldDatStr)
self.assertTrue(tdf._same_data(oldDat, newDat))
def testSpacey(self):
if not self.can_run:
return
tdf = TicDatFactory(**spacesSchema())
dat = tdf.TicDat(**spacesData())
filePath = makeCleanPath(os.path.join(_scratchDir, "spacey.db"))
tdf.sql.write_db_data(dat, filePath)
dat2 = tdf.sql.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(dat,dat2))
with sql.connect(filePath) as con:
for t in tdf.all_tables:
con.execute("ALTER TABLE %s RENAME TO [%s]"%(t, t.replace("_", " ")))
dat3 = tdf.sql.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(dat, dat3))
def testSillyCleaningOne(self):
tdf = TicDatFactory(**sillyMeSchema())
tdf.set_data_type("c", "cData4", number_allowed=False, strings_allowed=['d'])
ticDat = tdf.TicDat(**sillyMeData())
input_set = create_inputset_mock(tdf, ticDat)
self.assertTrue(tdf._same_data(tdf.opalytics.create_tic_dat(input_set, raw_data=True), ticDat))
ticDatPurged = tdf.opalytics.create_tic_dat(input_set, raw_data=False)
self.assertFalse(tdf._same_data(ticDatPurged, ticDat))
ticDat.c.pop()
ticDat.c.pop(0)
self.assertTrue(tdf._same_data(ticDatPurged, ticDat))
def testNetflow(self):
if not self.can_run:
return
tdf = TicDatFactory(**netflowSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**
{t: getattr(netflowData(), t)
for t in tdf.primary_key_fields}))
self._test_generic_copy(ticDat, tdf)
self._test_generic_copy(ticDat, tdf, ["arcs", "nodes"])
filePath = os.path.join(_scratchDir, "netflow.xls")
tdf.xls.write_file(ticDat, filePath)
xlsTicDat = tdf.xls.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, xlsTicDat))
tdf.xls.write_file(ticDat, filePath + "x")
self.assertTrue(
tdf._same_data(ticDat, tdf.xls.create_tic_dat(filePath + "x")))
def changeIt():
xlsTicDat.inflow['Pencils', 'Boston']["quantity"] = 12
self.assertTrue(self.firesException(changeIt))
self.assertTrue(tdf._same_data(ticDat, xlsTicDat))
xlsTicDat = tdf.xls.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, xlsTicDat))
self.assertFalse(self.firesException(changeIt))
self.assertFalse(tdf._same_data(ticDat, xlsTicDat))
self.assertFalse(tdf.xls.find_duplicates(filePath))
pkHacked = netflowSchema()
pkHacked["nodes"][0] = ["nimrod"]
tdfHacked = TicDatFactory(**pkHacked)
self.assertTrue(
self.firesException(
lambda: tdfHacked.xls.write_file(ticDat, filePath)))
tdfHacked.xls.write_file(ticDat, filePath, allow_overwrite=True)
self.assertTrue("nodes : name" in self.firesException(
lambda: tdf.xls.create_tic_dat(filePath)))
ticDat = tdf.TicDat(
**{t: getattr(netflowData(), t)
for t in tdf.primary_key_fields})
ticDat.arcs["Detroit", "Boston"] = float("inf")
ticDat.cost['Pencils', 'Detroit', 'Boston'] = -float("inf")
tdf.xls.write_file(ticDat, makeCleanPath(filePath))
xlsTicDat = tdf.xls.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, xlsTicDat))
tdf.xls.write_file(ticDat, filePath + "x", allow_overwrite=True)
self.assertTrue(
tdf._same_data(ticDat, tdf.xls.create_tic_dat(filePath + "x")))
self.assertFalse(
tdf._same_data(
ticDat,
tdf.xls.create_tic_dat(filePath + "x",
treat_inf_as_infinity=False)))
def testSpacey(self):
if not _can_unit_test:
return
tdf = TicDatFactory(**spacesSchema())
spacesData = {
"a_table": {
1: {
"a Data 3": 3,
"a Data 2": 2,
"a Data 1": 1
},
22: (1.1, 12, 12),
0.23: (11, 12, 11)
},
"b_table": {
("1", "2", "3"): 1,
("a", "b", "b"): 12
},
"c_table": (("1", "2", "3", 4), {
"c Data 4": 55,
"c Data 2": "b",
"c Data 3": "c",
"c Data 1": "a"
}, ("a", "b", "12", 24))
}
dat = tdf.TicDat(**spacesData)
filePath = "spaces.accdb"
self.assertFalse(tdf.mdb.find_duplicates(filePath))
dat2 = tdf.mdb.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(dat, dat2))
def testDateTime(self):
tdf = TicDatFactory(table_with_stuffs=[["field one"], ["field two"]],
parameters=[["a"], ["b"]])
tdf.add_parameter("p1", "Dec 15 1970", datetime=True)
tdf.add_parameter("p2", None, datetime=True, nullable=True)
tdf.set_data_type("table_with_stuffs", "field one", datetime=True)
tdf.set_data_type("table_with_stuffs",
"field two",
datetime=True,
nullable=True)
dat = tdf.TicDat(table_with_stuffs=[[
"July 11 1972", None
], [datetime.datetime.now(),
dateutil.parser.parse("Sept 11 2011")]],
parameters=[["p1", "7/11/1911"], ["p2", None]])
self.assertFalse(
tdf.find_data_type_failures(dat)
or tdf.find_data_row_failures(dat))
file_one = os.path.join(_scratchDir, "datetime.json")
tdf.json.write_file(dat, file_one)
dat_1 = tdf.json.create_tic_dat(file_one)
self.assertFalse(tdf._same_data(dat, dat_1))
self.assertTrue(
isinstance(dat_1.parameters["p1"]["b"], datetime.datetime))
self.assertTrue(
all(
isinstance(_, datetime.datetime)
for _ in dat_1.table_with_stuffs))
self.assertTrue(
all(
isinstance(_, datetime.datetime) or _ is None
for v in dat_1.table_with_stuffs.values() for _ in v.values()))
def test_parameters(self):
filePath = os.path.join(_scratchDir, "parameters")
tdf = TicDatFactory(parameters=[["Key"], ["Value"]])
tdf.add_parameter("Something", 100)
tdf.add_parameter("Different",
'boo',
strings_allowed='*',
number_allowed=False)
dat = tdf.TicDat(
parameters=[["Something", float("inf")], ["Different", "inf"]])
tdf.sql.write_sql_file(dat, filePath + ".sql")
dat_ = tdf.sql.create_tic_dat_from_sql(filePath + ".sql")
self.assertTrue(tdf._same_data(dat, dat_))
tdf.sql.write_db_data(dat, filePath + ".db")
dat_ = tdf.sql.create_tic_dat(filePath + ".db")
self.assertTrue(tdf._same_data(dat, dat_))
def _test_generic_free_copy(self, ticDat, tdf, skip_tables=None):
assert all(tdf.primary_key_fields.get(t) for t in tdf.all_tables)
replace_name = lambda f: "name_" if f == "name" else f
clean_tdf = TicDatFactory(
**{
t: [list(map(replace_name, pks)), dfs]
for t, (pks, dfs) in tdf.schema().items()
})
temp_tdf = TicDatFactory(
**{
t: v if t in (skip_tables or []) else '*'
for t, v in clean_tdf.schema().items()
})
temp_dat = temp_tdf.TicDat(
**{t: getattr(ticDat, t)
for t in (skip_tables or [])})
for t in temp_tdf.generic_tables:
setattr(
temp_dat, t,
getattr(
clean_tdf.copy_to_pandas(ticDat, drop_pk_columns=False),
t))
generic_free_dat, _ = utils.create_generic_free(temp_dat, temp_tdf)
check_dat = clean_tdf.TicDat()
for t in temp_tdf.generic_tables:
for r in getattr(generic_free_dat, t):
pks = clean_tdf.primary_key_fields[t]
getattr(check_dat, t)[r[pks[0]] if len(pks) == 1 else tuple(r[_] for _ in pks)] = \
{df:r[df] for df in clean_tdf.data_fields.get(t, [])}
for t in (skip_tables or []):
for k, v in getattr(generic_free_dat, t).items():
getattr(check_dat, t)[k] = v
self.assertTrue(
clean_tdf._same_data(check_dat, clean_tdf.copy_tic_dat(ticDat)))
def _test_generic_copy(self, ticDat, tdf, skip_tables=None):
assert all(tdf.primary_key_fields.get(t) for t in tdf.all_tables)
path = makeCleanDir(os.path.join(_scratchDir, "generic_copy"))
replace_name = lambda f : "name_" if f == "name" else f
clean_tdf = TicDatFactory(**{t:[list(map(replace_name, pks)), dfs]
for t,(pks, dfs) in tdf.schema().items()})
temp_tdf = TicDatFactory(**{t:v if t in (skip_tables or []) else '*'
for t,v in clean_tdf.schema().items()})
temp_dat = temp_tdf.TicDat(**{t:getattr(ticDat, t) for t in (skip_tables or [])})
for t in temp_tdf.generic_tables:
setattr(temp_dat, t, getattr(clean_tdf.copy_to_pandas(ticDat, drop_pk_columns=False) ,t))
temp_tdf.sql.write_db_data(temp_dat, os.path.join(path, "f.db"))
temp_tdf.sql.write_sql_file(temp_dat, os.path.join(path, "f1.sql"), include_schema=False)
temp_tdf.sql.write_sql_file(temp_dat, os.path.join(path, "f2.sql"), include_schema=True)
for file_name, includes_schema in [("f.db", False), ("f1.sql", False), ("f2.sql", True)]:
file_path = os.path.join(path, file_name)
if file_path.endswith(".db"):
self.assertFalse(temp_tdf.sql.find_duplicates(file_path))
read_dat = temp_tdf.sql.create_tic_dat(file_path)
else:
read_dat = temp_tdf.sql.create_tic_dat_from_sql(file_path, includes_schema)
generic_free_dat, _ = utils.create_generic_free(read_dat, temp_tdf)
check_dat = clean_tdf.TicDat()
for t in temp_tdf.generic_tables:
for r in getattr(generic_free_dat, t):
pks = clean_tdf.primary_key_fields[t]
getattr(check_dat, t)[r[pks[0]] if len(pks) == 1 else tuple(r[_] for _ in pks)] = \
{df:r[df] for df in clean_tdf.data_fields.get(t, [])}
for t in (skip_tables or []):
for k,v in getattr(generic_free_dat, t).items():
getattr(check_dat, t)[k] = v
self.assertTrue(clean_tdf._same_data(check_dat, clean_tdf.copy_tic_dat(ticDat)))
def testDietCleaningThree(self):
tdf = TicDatFactory(**dietSchema())
tdf.add_data_row_predicate("categories", lambda row : row["maxNutrition"] >= 66)
addDietForeignKeys(tdf)
ticDat = tdf.copy_tic_dat(dietData())
input_set = create_inputset_mock(tdf, ticDat)
self.assertTrue(tdf._same_data(tdf.opalytics.create_tic_dat(input_set, raw_data=True), ticDat))
ticDatPurged = tdf.opalytics.create_tic_dat(input_set, raw_data=False)
self.assertFalse(tdf._same_data(ticDatPurged, ticDat))
ticDat.categories.pop("fat")
self.assertFalse(tdf._same_data(ticDatPurged, ticDat))
tdf.remove_foreign_key_failures(ticDat)
self.assertTrue(tdf._same_data(ticDatPurged, ticDat))
def testNetflow(self):
tdf = TicDatFactory(**netflowSchema())
addNetflowForeignKeys(tdf)
ordered = tdf.sql._ordered_tables()
self.assertTrue(ordered.index("nodes") < min(ordered.index(_) for _ in ("arcs", "cost", "inflow")))
self.assertTrue(ordered.index("commodities") < min(ordered.index(_) for _ in ("cost", "inflow")))
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(netflowData(),t) for t in tdf.primary_key_fields}))
filePath = os.path.join(_scratchDir, "netflow.sql")
tdf.sql.write_db_data(ticDat, filePath)
sqlTicDat = tdf.sql.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, sqlTicDat))
def changeIt() :
sqlTicDat.inflow['Pencils', 'Boston']["quantity"] = 12
self.assertTrue(self.firesException(changeIt))
self.assertTrue(tdf._same_data(ticDat, sqlTicDat))
sqlTicDat = tdf.sql.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, sqlTicDat))
self.assertFalse(self.firesException(changeIt))
self.assertFalse(tdf._same_data(ticDat, sqlTicDat))
pkHacked = netflowSchema()
pkHacked["nodes"][0] = ["nimrod"]
tdfHacked = TicDatFactory(**pkHacked)
ticDatHacked = tdfHacked.TicDat(**{t : getattr(ticDat, t) for t in tdf.all_tables})
tdfHacked.sql.write_db_data(ticDatHacked, makeCleanPath(filePath))
self.assertTrue(self.firesException(lambda : tdfHacked.sql.write_db_data(ticDat, filePath)))
tdfHacked.sql.write_db_data(ticDat, filePath, allow_overwrite =True)
self.assertTrue("Unable to recognize field name in table nodes" in
self.firesException(lambda :tdf.sql.create_tic_dat(filePath)))
ticDatNew = tdf.TicDat(**{t:getattr(netflowData(),t) for t in tdf.primary_key_fields})
ticDatNew.cost['Pencils', 'booger', 'wooger'] = 10
ticDatNew.cost['junker', 'Detroit', 'New York'] = 20
ticDatNew.cost['bunker', 'Detroit', 'New Jerk'] = 20
ticDatNew.arcs['booger', 'wooger'] = 112
self.assertTrue({f[:2] + f[2][:1] : set(v.native_pks) for
f,v in tdf.find_foreign_key_failures(ticDatNew).items()} ==
{('arcs', 'nodes', u'destination'): {('booger', 'wooger')},
('arcs', 'nodes', u'source'): {('booger', 'wooger')},
('cost', 'commodities', u'commodity'): {('bunker', 'Detroit', 'New Jerk'),
('junker', 'Detroit', 'New York')},
('cost', 'nodes', u'destination'): {('bunker', 'Detroit', 'New Jerk'),
('Pencils', 'booger', 'wooger')},
('cost', 'nodes', u'source'): {('Pencils', 'booger', 'wooger')}})
def testDietCleaningTwo(self):
tdf = TicDatFactory(**dietSchema())
tdf.set_data_type("categories", "maxNutrition", min=66, inclusive_max=True)
addDietForeignKeys(tdf)
ticDat = tdf.copy_tic_dat(dietData())
input_set = create_inputset_mock(tdf, ticDat)
self.assertTrue(tdf._same_data(tdf.opalytics.create_tic_dat(input_set, raw_data=True), ticDat))
ticDatPurged = tdf.opalytics.create_tic_dat(input_set, raw_data=False)
self.assertFalse(tdf._same_data(ticDatPurged, ticDat))
ticDat.categories.pop("fat")
self.assertFalse(tdf._same_data(ticDatPurged, ticDat))
tdf.remove_foreign_key_failures(ticDat)
self.assertTrue(tdf._same_data(ticDatPurged, ticDat))
def testRowOffsets(self):
tdf = TicDatFactory(boger = [[],["the", "big", "boger"]],
woger = [[], ["the", "real", "big", "woger"]])
td = tdf.freeze_me(tdf.TicDat(boger = ([1, 2, 3], [12, 24, 36], tdf.data_fields["boger"], [100, 200, 400]),
woger = ([[1, 2, 3, 4]]*4) + [tdf.data_fields["woger"]] +
([[100, 200, 300, 400]]*5)))
filePath = os.path.join(_scratchDir, "rowoff.xls")
tdf.xls.write_file(td, filePath)
td1= tdf.xls.create_tic_dat(filePath)
td2 = tdf.xls.create_tic_dat(filePath, {"woger": 5})
td3 = tdf.xls.create_tic_dat(filePath, {"woger":5, "boger":3})
self.assertTrue(tdf._same_data(td, td1))
tdCheck = tdf.TicDat(boger = td2.boger, woger = td.woger)
self.assertTrue(tdf._same_data(td, tdCheck))
self.assertTrue(all (td2.woger[i]["big"] == 300 for i in range(5)))
self.assertTrue(all (td3.woger[i]["real"] == 200 for i in range(5)))
self.assertTrue(td3.boger[0]["big"] == 200 and len(td3.boger) == 1)
def testDietWithInfFlagging(self):
tdf = TicDatFactory(**dietSchema())
dat = tdf.copy_tic_dat(dietData())
tdf.set_infinity_io_flag(999999999)
file_one = os.path.join(_scratchDir, "dietInfFlag_1.json")
file_two = os.path.join(_scratchDir, "dietInfFlag_2.json")
tdf.json.write_file(dat, file_one, verbose=True)
tdf.json.write_file(dat, file_two, verbose=False)
dat_1 = tdf.json.create_tic_dat(file_one)
dat_2 = tdf.json.create_tic_dat(file_two)
self.assertTrue(tdf._same_data(dat, dat_1))
self.assertTrue(tdf._same_data(dat, dat_2))
tdf = tdf.clone()
dat_1 = tdf.json.create_tic_dat(file_one)
self.assertTrue(tdf._same_data(dat, dat_1))
tdf = TicDatFactory(**dietSchema())
dat_1 = tdf.json.create_tic_dat(file_one)
self.assertFalse(tdf._same_data(dat, dat_1))
def testDietWithInfFlagging(self):
tdf = TicDatFactory(**dietSchema())
dat = tdf.copy_tic_dat(dietData())
tdf.set_infinity_io_flag(999999999)
file_one = os.path.join(_scratchDir, "dietInfFlag.sql")
file_two = os.path.join(_scratchDir, "dietInfFlag.db")
tdf.sql.write_sql_file(dat, file_one)
tdf.sql.write_db_data(dat, file_two)
dat_1 = tdf.sql.create_tic_dat_from_sql(file_one)
dat_2 = tdf.sql.create_tic_dat(file_two)
self.assertTrue(tdf._same_data(dat, dat_1))
self.assertTrue(tdf._same_data(dat, dat_2))
tdf = tdf.clone()
dat_1 = tdf.sql.create_tic_dat_from_sql(file_one)
self.assertTrue(tdf._same_data(dat, dat_1))
tdf = TicDatFactory(**dietSchema())
dat_1 = tdf.sql.create_tic_dat_from_sql(file_one)
self.assertFalse(tdf._same_data(dat, dat_1))
def testDiet(self):
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(dietData(),t) for t in tdf.primary_key_fields}))
filePath = makeCleanPath(os.path.join(_scratchDir, "diet.mdb"))
tdf.mdb.write_file(ticDat, filePath)
mdbTicDat = tdf.mdb.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, mdbTicDat))
def changeit() :
mdbTicDat.categories["calories"]["minNutrition"]=12
changeit()
self.assertFalse(tdf._same_data(ticDat, mdbTicDat))
self.assertTrue(self.firesException(lambda : tdf.mdb.write_file(ticDat, filePath)))
tdf.mdb.write_file(ticDat, filePath, allow_overwrite=True)
mdbTicDat = tdf.mdb.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, mdbTicDat))
self.assertTrue(self.firesException(changeit))
self.assertTrue(tdf._same_data(ticDat, mdbTicDat))
def testSillyTwoTables(self):
if not self.can_run:
return
tdf = TicDatFactory(**sillyMeSchema())
ticDat = tdf.TicDat(**sillyMeDataTwoTables())
filePath = os.path.join(_scratchDir, "sillyMeTwoTables.xls")
tdf.xls.write_file(ticDat, filePath)
xlsTicDat = tdf.xls.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, xlsTicDat))
def testNetflow(self):
if not self.can_run:
return
for verbose in [True, False]:
tdf = TicDatFactory(**netflowSchema())
ticDat = tdf.TicDat(
**
{t: getattr(netflowData(), t)
for t in tdf.primary_key_fields})
self.assertTrue(
tdf._same_data(ticDat,
tdf.json.create_tic_dat(
tdf.json.write_file(ticDat, "")),
epsilon=0.0001))
writePath = os.path.join(
makeCleanDir(os.path.join(_scratchDir, "netflow")),
"file.json")
tdf.json.write_file(ticDat, writePath, verbose=verbose)
jsonTicDat = tdf.json.create_tic_dat(writePath, freeze_it=True)
self.assertFalse(tdf.json.find_duplicates(writePath))
self.assertTrue(tdf._same_data(ticDat, jsonTicDat))
ticDat.nodes[12] = {}
tdf.json.write_file(ticDat,
writePath,
verbose=verbose,
allow_overwrite=True)
jsonTicDat = tdf.json.create_tic_dat(writePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, jsonTicDat))
# unlike csv, json format respects strings that are floatable
del (ticDat.nodes[12])
ticDat.nodes['12'] = {}
self.assertTrue(
firesException(lambda: tdf.json.write_file(
ticDat, writePath, verbose=verbose)))
tdf.json.write_file(ticDat,
writePath,
allow_overwrite=True,
verbose=verbose)
jsonTicDat = tdf.json.create_tic_dat(writePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, jsonTicDat))
def testSilly(self):
if not self.canRun:
return
tdf = TicDatFactory(**dict({"d" : [("dData1", "dData2", "dData3", "dData4"),[]],
"e" : [["eData"],[]]}, **sillyMeSchema()))
ticDat = tdf.copy_to_pandas(tdf.TicDat(**sillyMeData()))
self.assertFalse(len(ticDat.d) + len(ticDat.e))
oldDat = tdf.freeze_me(tdf.TicDat(**dict({"d" : {(1,2,3,4):{}, (1, "b","c","d"):{}, ("a", 2,"c","d"):{}},
"e" : {11:{},"boger":{}}},
**sillyMeData())))
ticDat = tdf.copy_to_pandas(oldDat, drop_pk_columns=True)
def checkTicDat():
self.assertTrue(len(ticDat.d) ==3 and len(ticDat.e) == 2)
self.assertTrue(set(ticDat.d.index.values) == {(1,2,3,4), (1, "b","c","d"), ("a", 2,"c","d")})
self.assertTrue(set(ticDat.e.index.values) == {11,"boger"})
self.assertTrue(len(ticDat.c) == len(oldDat.c) == 3)
self.assertTrue(ticDat.c.loc[i] == oldDat.c[i] for i in range(3))
checkTicDat()
self.assertFalse(hasattr(ticDat.d, "dData1") or hasattr(ticDat.e, "eData"))
ticDat = tdf.copy_to_pandas(oldDat, drop_pk_columns=False)
checkTicDat()
self.assertTrue(ticDat.e.loc[11].values[0] == 11)
if sys.version_info[0] == 2:
self.assertTrue(len(ticDat.d.dData1.sloc[1,:,:,:]) == 2)
else : # very strange infrequent bug issue that I will investigate later
self.assertTrue(len(ticDat.d.dData1.sloc[1]) == 2)
ticDat = tdf.copy_to_pandas(oldDat)
checkTicDat()
if sys.version_info[0] == 2:
self.assertTrue(len(ticDat.d.dData1.sloc[1,:,:,:]) == 2)
else:
self.assertTrue(len(ticDat.d.dData1.sloc[1]) == 2)
self.assertTrue(ticDat.e.loc[11].values[0] == 11)
self.assertTrue(set(ticDat.d.columns) == {"dData%s"%s for s in range(5)[1:]})
rebornTicDat = tdf.TicDat(**{t:getattr(ticDat, t) for t in tdf.all_tables})
self.assertTrue(tdf._same_data(rebornTicDat, oldDat))
ticDat.b = ticDat.b.bData
rebornTicDat = tdf.TicDat(**{t:getattr(ticDat, t) for t in tdf.all_tables})
self.assertTrue(tdf._same_data(rebornTicDat, oldDat))
def testNetflowOpalytics(self):
if not self.can_run:
return
for hack, raw_data in list(itertools.product(*(([True, False], ) *
2))):
tdf = TicDatFactory(**netflowSchema())
ticDat = tdf.copy_tic_dat(netflowData())
inputset = create_inputset_mock(tdf, ticDat, hack)
pdf = PanDatFactory(**tdf.schema())
panDat = pdf.opalytics.create_pan_dat(inputset, raw_data=raw_data)
self.assertTrue(tdf._same_data(ticDat,
pdf.copy_to_tic_dat(panDat)))
ticDat.nodes[12] = {}
inputset = create_inputset_mock(tdf, ticDat, hack)
pdf = PanDatFactory(**tdf.schema())
panDat = pdf.opalytics.create_pan_dat(inputset, raw_data=raw_data)
self.assertTrue(tdf._same_data(ticDat,
pdf.copy_to_tic_dat(panDat)))
def testDiet(self):
tdf = TicDatFactory(**dietSchema())
tdf.enable_foreign_key_links()
oldDat = tdf.TicDat(
**{t: getattr(dietData(), t)
for t in tdf.primary_key_fields})
oldDatStr = create_opl_text(tdf, oldDat)
newDat = read_opl_text(tdf, oldDatStr)
self.assertFalse(tdf._same_data(oldDat, newDat))
oldDat.categories["protein"][
"maxNutrition"] = 12 # Remove infinity from the data
changedDatStr = create_opl_text(tdf, oldDat)
changedDat = read_opl_text(tdf, changedDatStr)
self.assertTrue(tdf._same_data(oldDat, changedDat))
tdf.opl_prepend = "pre_"
origStr, changedDatStr = changedDatStr, create_opl_text(tdf, oldDat)
changedDat = read_opl_text(tdf, changedDatStr)
self.assertTrue(tdf._same_data(oldDat, changedDat))
self.assertFalse(origStr == changedDatStr)
def testDiet(self):
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(dietData(),t) for t in tdf.primary_key_fields}))
filePath = os.path.join(_scratchDir, "diet.xls")
tdf.xls.write_file(ticDat, filePath)
xlsTicDat = tdf.xls.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, xlsTicDat))
xlsTicDat.categories["calories"]["minNutrition"]=12
self.assertFalse(tdf._same_data(ticDat, xlsTicDat))
self.assertFalse(tdf.xls.get_duplicates(filePath))
ex = self.firesException(lambda :
tdf.xls.create_tic_dat(filePath, row_offsets={t:1 for t in tdf.all_tables}))
self.assertTrue("field names could not be found" in ex)
xlsTicDat = tdf.xls.create_tic_dat(filePath, row_offsets={t:1 for t in tdf.all_tables}, headers_present=False)
self.assertTrue(tdf._same_data(xlsTicDat, ticDat))
xlsTicDat = tdf.xls.create_tic_dat(filePath, row_offsets={t:2 for t in tdf.all_tables}, headers_present=False)
self.assertFalse(tdf._same_data(xlsTicDat, ticDat))
self.assertTrue(all(len(getattr(ticDat, t))-1 == len(getattr(xlsTicDat, t)) for t in tdf.all_tables))
def testOne(self):
def _cleanIt(x) :
x.foods['macaroni'] = {"cost": 2.09}
x.foods['milk'] = {"cost":0.89}
return x
dataObj = dietData()
tdf = TicDatFactory(**dietSchema())
self.assertTrue(tdf.good_tic_dat_object(dataObj))
dataObj2 = tdf.copy_tic_dat(dataObj)
dataObj3 = tdf.copy_tic_dat(dataObj, freeze_it=True)
dataObj4 = tdf.TicDat(**tdf.as_dict(dataObj3))
self.assertTrue(all (tdf._same_data(dataObj, x) and dataObj is not x for x in (dataObj2, dataObj3, dataObj4)))
dataObj = _cleanIt(dataObj)
self.assertTrue(tdf.good_tic_dat_object(dataObj))
self.assertTrue(all (tdf._same_data(dataObj, x) and dataObj is not x for x in (dataObj2, dataObj3)))
def hackit(x) :
x.foods["macaroni"] = 100
self.assertTrue(self.firesException(lambda :hackit(dataObj3)))
hackit(dataObj2)
self.assertTrue(not tdf._same_data(dataObj, dataObj2) and tdf._same_data(dataObj, dataObj3))
msg = []
dataObj.foods[("milk", "cookies")] = {"cost": float("inf")}
dataObj.boger = object()
self.assertFalse(tdf.good_tic_dat_object(dataObj) or
tdf.good_tic_dat_object(dataObj, bad_message_handler =msg.append))
self.assertTrue({"foods : Inconsistent key lengths"} == set(msg))
self.assertTrue(all(tdf.good_tic_dat_table(getattr(dataObj, t), t)
for t in ("categories", "nutritionQuantities")))
dataObj = dietData()
dataObj.categories["boger"] = {"cost":1}
dataObj.categories["boger"] = {"cost":1}
self.assertFalse(tdf.good_tic_dat_object(dataObj) or
tdf.good_tic_dat_object(dataObj, bad_message_handler=msg.append))
self.assertTrue({'foods : Inconsistent key lengths',
'categories : Inconsistent data field name keys.'} == set(msg))
ex = firesException(lambda : tdf.freeze_me(tdf.TicDat(**{t:getattr(dataObj,t)
for t in tdf.primary_key_fields}))).message
self.assertTrue("categories cannot be treated as a ticDat table : Inconsistent data field name keys" in ex)
def testDiet(self):
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(dietData(),t) for t in tdf.primary_key_fields}))
dirPath = os.path.join(_scratchDir, "diet")
tdf.csv.write_directory(ticDat,dirPath)
self.assertFalse(tdf.csv.get_duplicates(dirPath))
csvTicDat = tdf.csv.create_tic_dat(dirPath)
self.assertTrue(tdf._same_data(ticDat, csvTicDat))
def change() :
csvTicDat.categories["calories"]["minNutrition"]=12
self.assertFalse(firesException(change))
self.assertFalse(tdf._same_data(ticDat, csvTicDat))
self.assertTrue(self.firesException(lambda :
tdf.csv.write_directory(ticDat, dirPath, dialect="excel_t")).endswith(
"Invalid dialect excel_t"))
tdf.csv.write_directory(ticDat, dirPath, dialect="excel-tab", allow_overwrite=True)
self.assertTrue(self.firesException(lambda : tdf.csv.create_tic_dat(dirPath, freeze_it=True)))
csvTicDat = tdf.csv.create_tic_dat(dirPath, freeze_it=True, dialect="excel-tab")
self.assertTrue(firesException(change))
self.assertTrue(tdf._same_data(ticDat, csvTicDat))
def testSilly(self):
tdf = TicDatFactory(**sillyMeSchema())
ticDat = tdf.TicDat(**sillyMeData())
schema2 = sillyMeSchema()
schema2["b"][0] = ("bField2", "bField1", "bField3")
schema3 = sillyMeSchema()
schema3["a"][1] = ("aData2", "aData3", "aData1")
schema4 = sillyMeSchema()
schema4["a"][1] = ("aData1", "aData3")
schema5 = sillyMeSchema()
_tuple = lambda x : tuple(x) if utils.containerish(x) else (x,)
for t in ("a", "b") :
schema5[t][1] = _tuple(schema5[t][1]) + _tuple(schema5[t][0])
schema5["a"][0], schema5["b"][0] = (), []
schema6 = sillyMeSchema()
schema6["d"] = [["dField"],()]
tdf2, tdf3, tdf4, tdf5, tdf6 = (TicDatFactory(**x) for x in (schema2, schema3, schema4, schema5, schema6))
tdf5.set_generator_tables(("a","c"))
filePath = os.path.join(_scratchDir, "silly.xls")
tdf.xls.write_file(ticDat, filePath)
ticDat2 = tdf2.xls.create_tic_dat(filePath)
self.assertFalse(tdf._same_data(ticDat, ticDat2))
ticDat3 = tdf3.xls.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, ticDat3))
ticDat4 = tdf4.xls.create_tic_dat(filePath)
for t in ["a","b"]:
for k,v in getattr(ticDat4, t).items() :
for _k, _v in v.items() :
self.assertTrue(getattr(ticDat, t)[k][_k] == _v)
if set(v) == set(getattr(ticDat, t)[k]) :
self.assertTrue(t == "b")
else :
self.assertTrue(t == "a")
ticDat5 = tdf5.xls.create_tic_dat(filePath)
self.assertTrue(tdf5._same_data(tdf._keyless(ticDat), ticDat5))
self.assertTrue(callable(ticDat5.a) and callable(ticDat5.c) and not callable(ticDat5.b))
ticDat6 = tdf6.xls.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, ticDat6))
self.assertTrue(firesException(lambda : tdf6._same_data(ticDat, ticDat6)))
self.assertTrue(hasattr(ticDat6, "d") and utils.dictish(ticDat6.d))
def writeData(data, write_header = True):
import xlwt
book = xlwt.Workbook()
for t in tdf.all_tables :
sheet = book.add_sheet(t)
if write_header :
for i,f in enumerate(tdf.primary_key_fields.get(t, ()) + tdf.data_fields.get(t, ())) :
sheet.write(0, i, f)
for rowInd, row in enumerate(data) :
for fieldInd, cellValue in enumerate(row):
sheet.write(rowInd+ (1 if write_header else 0), fieldInd, cellValue)
if os.path.exists(filePath):
os.remove(filePath)
book.save(filePath)
writeData([(1, 2, 3, 4), (1, 20, 30, 40), (10, 20, 30, 40)])
ticDatMan = tdf.xls.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(len(ticDatMan.a) == 2 and len(ticDatMan.b) == 3)
self.assertTrue(ticDatMan.b[1, 20, 30]["bData"] == 40)
rowCount = tdf.xls.get_duplicates(filePath)
self.assertTrue(set(rowCount) == {'a'} and set(rowCount["a"]) == {1} and rowCount["a"][1]==2)
writeData([(1, 2, 3, 4), (1, 20, 30, 40), (10, 20, 30, 40)], write_header=False)
self.assertTrue(self.firesException(lambda : tdf.xls.create_tic_dat(filePath, freeze_it=True)))
ticDatMan = tdf.xls.create_tic_dat(filePath, freeze_it=True, headers_present=False)
self.assertTrue(len(ticDatMan.a) == 2 and len(ticDatMan.b) == 3)
self.assertTrue(ticDatMan.b[1, 20, 30]["bData"] == 40)
rowCount = tdf.xls.get_duplicates(filePath, headers_present=False)
self.assertTrue(set(rowCount) == {'a'} and set(rowCount["a"]) == {1} and rowCount["a"][1]==2)
ticDat.a["theboger"] = (1, None, 12)
tdf.xls.write_file(ticDat, filePath, allow_overwrite=True)
ticDatNone = tdf.xls.create_tic_dat(filePath, freeze_it=True)
# THIS IS A FLAW - but a minor one. None's are hard to represent. It is turning into the empty string here.
# not sure how to handle this, but documenting for now.
self.assertFalse(tdf._same_data(ticDat, ticDatNone))
self.assertTrue(ticDatNone.a["theboger"]["aData2"] == "")
writeData([(1, 2, 3, 4), (1, 20, 30, 40), (10, 20, 30, 40), (1,20,30,12)])
rowCount = tdf.xls.get_duplicates(filePath)
self.assertTrue(set(rowCount) == {'a', 'b'} and set(rowCount["a"]) == {1} and rowCount["a"][1]==3)
self.assertTrue(set(rowCount["b"]) == {(1,20,30)} and rowCount["b"][1,20,30]==2)
def testSilly(self):
tdf = TicDatFactory(**sillyMeSchema())
ticDat = tdf.TicDat(**sillyMeData())
filePath = os.path.join(_scratchDir, "silly.mdb")
self.assertTrue(firesException(lambda : tdf.mdb.write_file(ticDat, makeCleanPath(filePath))))
def sillyMeCleanData() :
return {
"a" : {"1" : (1, 2, "3"), "b" : (12, 12.2, "twelve"), "c" : (11, 12, "thirt")},
"b" : {(1, 2, "3") : 1, (3, 4, "b") : 12},
"c" : ((1, "2", 3, 4), (0.2, "b", 0.3, 0.4), (1.2, "b", 12, 24) )
}
ticDat = tdf.TicDat(**sillyMeCleanData())
self.assertTrue(firesException(lambda : tdf.mdb.write_file(ticDat, makeCleanPath(filePath))))
def makeCleanSchema() :
tdf.mdb.write_schema(makeCleanPath(filePath), a={"aData3" : "text"},
b = {"bField1" : "int", "bField2" : "int"}, c={"cData2" : "text"})
return filePath
tdf.mdb.write_file(ticDat, makeCleanSchema())
mdbTicDat = tdf.mdb.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, mdbTicDat))
schema2 = sillyMeSchema()
schema2["b"][0] = ("bField2", "bField1", "bField3")
schema3 = sillyMeSchema()
schema3["a"][1] = ("aData2", "aData3", "aData1")
schema4 = sillyMeSchema()
schema4["a"][1] = ("aData1", "aData3")
schema5 = sillyMeSchema()
_tuple = lambda x : tuple(x) if utils.containerish(x) else (x,)
for t in ("a", "b") :
schema5[t][1] = _tuple(schema5[t][1]) + _tuple(schema5[t][0])
schema5["a"][0], schema5["b"][0] = (), []
schema6 = sillyMeSchema()
schema6["d"] = [["dField"],()]
tdf2, tdf3, tdf4, tdf5, tdf6 = (TicDatFactory(**x) for x in (schema2, schema3, schema4, schema5, schema6))
tdf5.set_generator_tables(("a","c"))
ticDat2 = tdf2.mdb.create_tic_dat(filePath)
self.assertFalse(tdf._same_data(ticDat, ticDat2))
ticDat3 = tdf3.mdb.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, ticDat3))
ticDat4 = tdf4.mdb.create_tic_dat(filePath)
for t in ["a","b"]:
for k,v in getattr(ticDat4, t).items() :
for _k, _v in v.items() :
self.assertTrue(getattr(ticDat, t)[k][_k] == _v)
if set(v) == set(getattr(ticDat, t)[k]) :
self.assertTrue(t == "b")
else :
self.assertTrue(t == "a")
ticDat5 = tdf5.mdb.create_tic_dat(filePath)
self.assertTrue(tdf5._same_data(tdf._keyless(ticDat), ticDat5))
self.assertTrue(callable(ticDat5.a) and callable(ticDat5.c) and not callable(ticDat5.b))
self.assertTrue("table d" in self.firesException(lambda : tdf6.mdb.create_tic_dat(filePath)))
ticDat.a["theboger"] = (1, None, "twelve")
tdf.mdb.write_file(ticDat, makeCleanSchema())
ticDatNone = tdf.mdb.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, ticDatNone))
self.assertTrue(ticDatNone.a["theboger"]["aData2"] == None)
def doTest(headersPresent) :
tdf = TicDatFactory(**sillyMeSchema())
ticDat = tdf.TicDat(**sillyMeData())
schema2 = sillyMeSchema()
schema2["b"][0] = ("bField2", "bField1", "bField3")
schema3 = sillyMeSchema()
schema3["a"][1] = ("aData2", "aData3", "aData1")
schema4 = sillyMeSchema()
schema4["a"][1] = ("aData1", "aData3")
schema5 = sillyMeSchema()
_tuple = lambda x : tuple(x) if utils.containerish(x) else (x,)
for t in ("a", "b") :
schema5[t][1] = _tuple(schema5[t][1]) + _tuple(schema5[t][0])
schema5["a"][0], schema5["b"][0] = (), []
schema5b = sillyMeSchema()
for t in ("a", "b") :
schema5b[t][1] = _tuple(schema5b[t][0]) + _tuple(schema5b[t][1])
schema5b["a"][0], schema5b["b"][0] = (), []
schema6 = sillyMeSchema()
schema6["d"] = [("dField",),[]]
tdf2, tdf3, tdf4, tdf5, tdf5b, tdf6 = (TicDatFactory(**x) for x in
(schema2, schema3, schema4, schema5, schema5b, schema6))
tdf5.set_generator_tables(["a", "c"])
tdf5b.set_generator_tables(("a", "c"))
dirPath = makeCleanDir(os.path.join(_scratchDir, "silly"))
tdf.csv.write_directory(ticDat, dirPath, write_header=headersPresent)
ticDat2 = tdf2.csv.create_tic_dat(dirPath, headers_present=headersPresent)
(self.assertFalse if headersPresent else self.assertTrue)(tdf._same_data(ticDat, ticDat2))
ticDat3 = tdf3.csv.create_tic_dat(dirPath, headers_present=headersPresent)
(self.assertTrue if headersPresent else self.assertFalse)(tdf._same_data(ticDat, ticDat3))
if headersPresent :
ticDat4 = tdf4.csv.create_tic_dat(dirPath, headers_present=headersPresent)
for t in ("a", "b") :
for k,v in getattr(ticDat4, t).items() :
for _k, _v in v.items() :
self.assertTrue(getattr(ticDat, t)[k][_k] == _v)
if set(v) == set(getattr(ticDat, t)[k]) :
self.assertTrue(t == "b")
else :
self.assertTrue(t == "a")
else :
self.assertTrue(self.firesException(lambda :
tdf4.csv.create_tic_dat(dirPath, headers_present=headersPresent)))
ticDat5 = tdf5.csv.create_tic_dat(dirPath, headers_present=headersPresent)
(self.assertTrue if headersPresent else self.assertFalse)(
tdf5._same_data(tdf._keyless(ticDat), ticDat5))
self.assertTrue(callable(ticDat5.a) and callable(ticDat5.c) and not callable(ticDat5.b))
ticDat5b = tdf5b.csv.create_tic_dat(dirPath, headers_present=headersPresent)
self.assertTrue(tdf5b._same_data(tdf._keyless(ticDat), ticDat5b))
self.assertTrue(callable(ticDat5b.a) and callable(ticDat5b.c) and not callable(ticDat5b.b))
ticDat6 = tdf6.csv.create_tic_dat(dirPath, headers_present=headersPresent)
self.assertTrue(tdf._same_data(ticDat, ticDat6))
self.assertTrue(firesException(lambda : tdf6._same_data(ticDat, ticDat6)))
self.assertTrue(hasattr(ticDat6, "d") and utils.dictish(ticDat6.d))
allDataTdf = TicDatFactory(**{t:[[], tdf.primary_key_fields.get(t, ()) + tdf.data_fields.get(t, ())]
for t in tdf.all_tables})
def writeData(data):
td = allDataTdf.TicDat(a = data, b=data, c=data)
allDataTdf.csv.write_directory(td, dirPath, allow_overwrite=True, write_header=headersPresent)
writeData([(1, 2, 3, 4), (1, 20, 30, 40), (10, 20, 30, 40)])
ticDatMan = tdf.csv.create_tic_dat(dirPath, headers_present=headersPresent, freeze_it=True)
self.assertTrue(len(ticDatMan.a) == 2 and len(ticDatMan.b) == 3)
self.assertTrue(ticDatMan.b[(1, 20, 30)]["bData"] == 40)
rowCount = tdf.csv.get_duplicates(dirPath, headers_present= headersPresent)
self.assertTrue(set(rowCount) == {'a'} and set(rowCount["a"]) == {1} and rowCount["a"][1]==2)
writeData([(1, 2, 3, 4), (1, 20, 30, 40), (10, 20, 30, 40), (1,20,30,12)])
rowCount = tdf.csv.get_duplicates(dirPath, headers_present=headersPresent)
self.assertTrue(set(rowCount) == {'a', 'b'} and set(rowCount["a"]) == {1} and rowCount["a"][1]==3)
self.assertTrue(set(rowCount["b"]) == {(1,20,30)} and rowCount["b"][1,20,30]==2)
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)
def testEight(self):
tdf = TicDatFactory(**dietSchema())
def makeIt() :
rtn = tdf.TicDat()
rtn.foods["a"] = 12
rtn.foods["b"] = None
rtn.categories["1"] = {"maxNutrition":100, "minNutrition":40}
rtn.categories["2"] = [10,20]
for f, p in itertools.product(rtn.foods, rtn.categories):
rtn.nutritionQuantities[f,p] = 5
rtn.nutritionQuantities['a', 2] = 12
return tdf.freeze_me(rtn)
dat = makeIt()
self.assertFalse(tdf.find_data_type_failures(dat))
tdf = TicDatFactory(**dietSchema())
tdf.set_data_type("foods", "cost", nullable=False)
tdf.set_data_type("nutritionQuantities", "qty", min=5, inclusive_min=False, max=12, inclusive_max=True)
tdf.set_default_value("foods", "cost", 2)
dat = makeIt()
failed = tdf.find_data_type_failures(dat)
self.assertTrue(set(failed) == {('foods', 'cost'), ('nutritionQuantities', 'qty')})
self.assertTrue(set(failed['nutritionQuantities', 'qty'].pks) ==
{('b', '1'), ('a', '2'), ('a', '1'), ('b', '2')})
self.assertTrue(failed['nutritionQuantities', 'qty'].bad_values == (5,))
ex = self.firesException(lambda : tdf.replace_data_type_failures(tdf.copy_tic_dat(dat)))
self.assertTrue(all(_ in ex for _ in ("replacement value", "nutritionQuantities", "qty")))
fixedDat = tdf.replace_data_type_failures(tdf.copy_tic_dat(dat),
replacement_values={("nutritionQuantities", "qty"):5.001})
self.assertFalse(tdf.find_data_type_failures(fixedDat) or tdf._same_data(fixedDat, dat))
self.assertTrue(all(fixedDat.nutritionQuantities[pk]["qty"] == 5.001 for pk in
failed['nutritionQuantities', 'qty'].pks))
self.assertTrue(fixedDat.foods["a"]["cost"] == 12 and fixedDat.foods["b"]["cost"] == 2 and
fixedDat.nutritionQuantities['a', 2]["qty"] == 12)
tdf = TicDatFactory(**dietSchema())
tdf.set_data_type("foods", "cost", nullable=False)
tdf.set_data_type("nutritionQuantities", "qty", min=5, inclusive_min=False, max=12, inclusive_max=True)
fixedDat2 = tdf.replace_data_type_failures(tdf.copy_tic_dat(dat),
replacement_values={("nutritionQuantities", "qty"):5.001, ("foods", "cost") : 2})
self.assertTrue(tdf._same_data(fixedDat, fixedDat2))
tdf = TicDatFactory(**dietSchema())
tdf.set_data_type("foods", "cost", nullable=True)
tdf.set_data_type("nutritionQuantities", "qty",number_allowed=False)
failed = tdf.find_data_type_failures(dat)
self.assertTrue(set(failed) == {('nutritionQuantities', 'qty')})
self.assertTrue(set(failed['nutritionQuantities', 'qty'].pks) == set(dat.nutritionQuantities))
ex = self.firesException(lambda : tdf.replace_data_type_failures(tdf.copy_tic_dat(dat)))
self.assertTrue(all(_ in ex for _ in ("replacement value", "nutritionQuantities", "qty")))
tdf = TicDatFactory(**dietSchema())
tdf.set_data_type("foods", "cost")
fixedDat = tdf.replace_data_type_failures(tdf.copy_tic_dat(makeIt()))
self.assertTrue(fixedDat.foods["a"]["cost"] == 12 and fixedDat.foods["b"]["cost"] == 0)
tdf = TicDatFactory(**netflowSchema())
addNetflowForeignKeys(tdf)
dat = tdf.copy_tic_dat(netflowData(), freeze_it=1)
self.assertFalse(hasattr(dat.nodes["Detroit"], "arcs_source"))
tdf = TicDatFactory(**netflowSchema())
addNetflowForeignKeys(tdf)
tdf.enable_foreign_key_links()
dat = tdf.copy_tic_dat(netflowData(), freeze_it=1)
self.assertTrue(hasattr(dat.nodes["Detroit"], "arcs_source"))
tdf = TicDatFactory(**netflowSchema())
def makeIt() :
if not tdf.foreign_keys:
tdf.enable_foreign_key_links()
addNetflowForeignKeys(tdf)
orig = netflowData()
rtn = tdf.copy_tic_dat(orig)
for n in rtn.nodes["Detroit"].arcs_source:
rtn.arcs["Detroit", n] = n
self.assertTrue(all(len(getattr(rtn, t)) == len(getattr(orig, t)) for t in tdf.all_tables))
return tdf.freeze_me(rtn)
dat = makeIt()
self.assertFalse(tdf.find_data_type_failures(dat))
tdf = TicDatFactory(**netflowSchema())
tdf.set_data_type("arcs", "capacity", strings_allowed="*")
dat = makeIt()
self.assertFalse(tdf.find_data_type_failures(dat))
tdf = TicDatFactory(**netflowSchema())
tdf.set_data_type("arcs", "capacity", strings_allowed=["Boston", "Seattle", "lumberjack"])
dat = makeIt()
failed = tdf.find_data_type_failures(dat)
self.assertTrue(failed == {('arcs', 'capacity'):(("New York",), (("Detroit", "New York"),))})
fixedDat = tdf.replace_data_type_failures(tdf.copy_tic_dat(makeIt()))
netflowData_ = tdf.copy_tic_dat(netflowData())
self.assertFalse(tdf.find_data_type_failures(fixedDat) or tdf._same_data(dat, netflowData_))
fixedDat = tdf.copy_tic_dat(tdf.replace_data_type_failures(tdf.copy_tic_dat(makeIt()),
{("arcs", "capacity"):80, ("cost","cost") :"imok"}))
fixedDat.arcs["Detroit", "Boston"] = 100
fixedDat.arcs["Detroit", "Seattle"] = 120
self.assertTrue(tdf._same_data(fixedDat, netflowData_))
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))