def testDietCleaningOpalytics(self):
sch = dietSchema()
sch["categories"][-1].append("_active")
tdf1 = TicDatFactory(**dietSchema())
tdf2 = TicDatFactory(**sch)
ticDat2 = tdf2.copy_tic_dat(dietData())
for v in ticDat2.categories.values():
v["_active"] = True
ticDat2.categories["fat"]["_active"] = False
ticDat1 = tdf1.copy_tic_dat(dietData())
input_set = create_inputset_mock_with_active_hack(tdf2, ticDat2)
pdf1 = PanDatFactory(**tdf1.schema())
panDat = pdf1.opalytics.create_pan_dat(input_set, raw_data=True)
self.assertTrue(tdf1._same_data(pdf1.copy_to_tic_dat(panDat), ticDat1))
panDatPurged = pdf1.opalytics.create_pan_dat(input_set)
self.assertFalse(
tdf1._same_data(pdf1.copy_to_tic_dat(panDatPurged), ticDat1))
ticDat1.categories.pop("fat")
tdf1.remove_foreign_key_failures(ticDat1)
self.assertTrue(
tdf1._same_data(pdf1.copy_to_tic_dat(panDatPurged), ticDat1))
def testMissingTable(self):
if not self.can_run:
return
tdf = TicDatFactory(**dietSchema())
tdf2 = TicDatFactory(**{
k: v
for k, v in dietSchema().items() if k != "nutritionQuantities"
})
ticDat2 = tdf2.copy_tic_dat(dietData())
filePath = makeCleanPath(os.path.join(_scratchDir,
"diet_missing.xlsx"))
tdf2.xls.write_file(ticDat2, filePath)
ticDat3 = tdf.xls.create_tic_dat(filePath)
self.assertTrue(tdf2._same_data(ticDat2, ticDat3))
self.assertTrue(all(hasattr(ticDat3, x) for x in tdf.all_tables))
self.assertFalse(ticDat3.nutritionQuantities)
self.assertTrue(ticDat3.categories and ticDat3.foods)
tdf2 = TicDatFactory(
**{k: v
for k, v in dietSchema().items() if k == "categories"})
ticDat2 = tdf2.copy_tic_dat(dietData())
filePath = makeCleanPath(os.path.join(_scratchDir,
"diet_missing.xlsx"))
tdf2.xls.write_file(ticDat2, filePath)
ticDat3 = tdf.xls.create_tic_dat(filePath)
self.assertTrue(tdf2._same_data(ticDat2, ticDat3))
self.assertTrue(all(hasattr(ticDat3, x) for x in tdf.all_tables))
self.assertFalse(ticDat3.nutritionQuantities or ticDat3.foods)
self.assertTrue(ticDat3.categories)
def testCsvSimple(self):
if not self.can_run:
return
tdf = TicDatFactory(**dietSchema())
pdf = PanDatFactory(**dietSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**{t: getattr(dietData(), t)
for t in tdf.primary_key_fields}))
panDat = pan_dat_maker(dietSchema(), ticDat)
dirPath = os.path.join(_scratchDir, "diet_csv")
pdf.csv.write_directory(panDat, dirPath)
panDat2 = pdf.csv.create_pan_dat(dirPath)
self.assertTrue(pdf._same_data(panDat, panDat2))
pdf2 = PanDatFactory(**{t: '*' for t in pdf.all_tables})
panDat2 = pdf2.csv.create_pan_dat(dirPath)
self.assertTrue(pdf._same_data(panDat, panDat2))
tdf = TicDatFactory(**netflowSchema())
pdf = PanDatFactory(**netflowSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**
{t: getattr(netflowData(), t)
for t in tdf.primary_key_fields}))
panDat = pan_dat_maker(netflowSchema(), ticDat)
dirPath = os.path.join(_scratchDir, "netflow_csv")
pdf.csv.write_directory(panDat, dirPath)
panDat2 = pdf.csv.create_pan_dat(dirPath)
self.assertTrue(pdf._same_data(panDat, panDat2))
pdf2 = PanDatFactory(**{t: '*' for t in pdf.all_tables})
pdf2.csv.write_directory(panDat, dirPath)
panDat2 = pdf2.csv.create_pan_dat(dirPath)
self.assertTrue(pdf._same_data(panDat, panDat2))
tdf = TicDatFactory(**dietSchema())
pdf = PanDatFactory(**dietSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**{t: getattr(dietData(), t)
for t in tdf.primary_key_fields}))
panDat = pan_dat_maker(dietSchema(), ticDat)
dirPath = os.path.join(_scratchDir, "diet_csv")
pdf.csv.write_directory(panDat, dirPath, decimal=",")
panDat2 = pdf.csv.create_pan_dat(dirPath)
self.assertFalse(pdf._same_data(panDat, panDat2))
panDat2 = pdf.csv.create_pan_dat(dirPath, decimal=",")
self.assertTrue(pdf._same_data(panDat, panDat2))
def testDiet(self):
if not self.can_run:
return
for hack, raw_data, activeEnabled in list(product(*(([True, False],)*3))):
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(tdf.copy_tic_dat(dietData()))
inputset = create_inputset_mock(tdf, ticDat, hack, activeEnabled)
self.assertFalse(tdf.opalytics.find_duplicates(inputset, raw_data=raw_data))
ticDat2 = tdf.opalytics.create_tic_dat(inputset, raw_data=raw_data)
self.assertTrue(tdf._same_data(ticDat, ticDat2))
def change() :
ticDat2.categories["calories"]["minNutrition"]=12
self.assertFalse(firesException(change))
self.assertFalse(tdf._same_data(ticDat, ticDat2))
ticDat2 = tdf.opalytics.create_tic_dat(inputset, freeze_it=True, raw_data=raw_data)
self.assertTrue(tdf._same_data(ticDat, ticDat2))
self.assertTrue(firesException(change))
self.assertTrue(tdf._same_data(ticDat, ticDat2))
tdf2 = TicDatFactory(**{k:[pks, list(dfs) + ["dmy"]] for k,(pks, dfs) in tdf.schema().items()})
_dat = tdf2.copy_tic_dat(ticDat)
self.assertTrue(tdf._same_data(ticDat,
tdf.opalytics.create_tic_dat(create_inputset_mock(tdf2, _dat, hack),
raw_data=raw_data)))
ex = self.firesException(lambda: tdf2.opalytics.create_tic_dat(inputset, raw_data=raw_data))
self.assertTrue("field dmy can't be found" in ex)
def testDictConstructions(self):
tdf = TicDatFactory(**dietSchema())
pdf = PanDatFactory(**dietSchema())
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(dietData(),t) for t in tdf.primary_key_fields}))
panDat = pan_dat_maker(dietSchema(), ticDat)
panDat2 = pdf.PanDat(**{t:getattr(panDat, t).to_dict() for t in pdf.all_tables})
panDat3 = pdf.PanDat(**{t:getattr(panDat, t).to_dict(orient="list") for t in pdf.all_tables})
panDat3_1 = pdf.PanDat(**{t:list(map(list, getattr(panDat, t).itertuples(index=False)))
for t in pdf.all_tables})
self.assertTrue(all(pdf._same_data(panDat, _) for _ in [panDat2, panDat3, panDat3_1]))
panDat.foods["extra"] = 12
panDat4 = pdf.PanDat(**{t:getattr(panDat, t).to_dict(orient="list") for t in pdf.all_tables})
self.assertTrue(pdf._same_data(panDat, panDat4))
self.assertTrue(set(panDat4.foods["extra"]) == {12})
tdf = TicDatFactory(**netflowSchema())
pdf = PanDatFactory(**netflowSchema())
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(netflowData(),t) for t in tdf.primary_key_fields}))
panDat = pan_dat_maker(netflowSchema(), ticDat)
panDat2 = pdf.PanDat(**{t:getattr(panDat, t).to_dict() for t in pdf.all_tables})
panDat3 = pdf.PanDat(**{t:getattr(panDat, t).to_dict(orient="records") for t in pdf.all_tables})
self.assertTrue(all(pdf._same_data(panDat, _) for _ in [panDat2, panDat3]))
panDat.cost["extra"] = "boger"
panDat4 = pdf.PanDat(**{t:getattr(panDat, t).to_dict(orient="list") for t in pdf.all_tables})
self.assertTrue(pdf._same_data(panDat, panDat4))
self.assertTrue(set(panDat4.cost["extra"]) == {"boger"})
def testDietCleaningFive(self):
tdf = TicDatFactory(**dietSchema())
tdf.add_data_row_predicate("categories",
lambda row: row["maxNutrition"] >= 66)
tdf.set_data_type("categories",
"minNutrition",
max=0,
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")
ticDat.categories.pop("calories")
ticDat.categories.pop("protein")
self.assertFalse(tdf._same_data(ticDatPurged, ticDat))
tdf.remove_foreign_keys_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)
file_one = os.path.join(_scratchDir, "dietInfFlag.xls")
file_two = os.path.join(_scratchDir, "dietInfFlag.xlsx")
tdf.xls.write_file(dat, file_one)
tdf.xls.write_file(dat, file_two)
dat_1 = tdf.xls.create_tic_dat(file_one)
dat_2 = tdf.xls.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.xls.create_tic_dat(file_one)
self.assertTrue(tdf._same_data(dat, dat_1))
tdf = TicDatFactory(**dietSchema())
dat_1 = tdf.xls.create_tic_dat(file_one)
dat_2 = tdf.xls.create_tic_dat(file_two)
self.assertFalse(tdf._same_data(dat, dat_1))
self.assertFalse(tdf._same_data(dat, dat_2))
self.assertTrue(
{_.categories["protein"]["maxNutrition"]
for _ in [dat_1, dat_2]} == {999999999})
for _ in [dat_1, dat_2]:
_.categories["protein"]["maxNutrition"] = float("inf")
self.assertTrue(tdf._same_data(dat, dat_1))
self.assertTrue(tdf._same_data(dat, dat_2))
def testTryCreateSpace(self):
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))
test_(dietSchema, dietData)
test_(netflowSchema, netflowData)
test_(sillyMeSchema,
lambda: TicDatFactory(**sillyMeSchema()).TicDat(**sillyMeData()))
tdf = TicDatFactory(**dietSchema())
dat = tdf.copy_tic_dat(dietData())
dat.foods["ice_cream"] = dat.foods["ice cream"]
dat.categories["ICE CREAM"] = {}
dat.categories["fAt"] = dat.categories["fat"]
failures = tlingo._try_create_space_case_mapping(tdf, dat)["failures"]
self.assertTrue(
failures == {
'ICE_CREAM': ('ICE CREAM', 'ice cream', 'ice_cream'),
'FAT': ('fAt', 'fat')
})
def testDietCleaningOpalytisThree(self):
tdf = TicDatFactory(**dietSchema())
tdf.add_data_row_predicate("categories",
lambda row: row["maxNutrition"] >= 66)
addDietForeignKeys(tdf)
ticDat = tdf.copy_tic_dat(dietData())
pdf = PanDatFactory(**tdf.schema())
pdf.add_data_row_predicate("categories",
lambda row: row["maxNutrition"] >= 66)
addDietForeignKeys(pdf)
input_set = create_inputset_mock(tdf, ticDat)
panDat = pdf.opalytics.create_pan_dat(input_set, raw_data=True)
self.assertTrue(tdf._same_data(pdf.copy_to_tic_dat(panDat), ticDat))
panDatPurged = pdf.opalytics.create_pan_dat(input_set, raw_data=False)
self.assertFalse(
tdf._same_data(pdf.copy_to_tic_dat(panDatPurged), ticDat))
ticDat.categories.pop("fat")
self.assertFalse(
tdf._same_data(pdf.copy_to_tic_dat(panDatPurged), ticDat))
tdf.remove_foreign_key_failures(ticDat)
self.assertTrue(
tdf._same_data(pdf.copy_to_tic_dat(panDatPurged), ticDat))
def testDiet(self):
if not _can_accdb_unit_test:
return
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.accdb"))
tdf.mdb.write_file(ticDat, filePath)
#shutil.copy(filePath, "diet.accdb") #uncomment to make readonly test file as .accdb
self.assertFalse(tdf.mdb.find_duplicates(filePath))
accdbTicDat = tdf.mdb.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, accdbTicDat))
def changeit():
accdbTicDat.categories["calories"]["minNutrition"] = 12
changeit()
self.assertFalse(tdf._same_data(ticDat, accdbTicDat))
self.assertTrue(
self.firesException(lambda: tdf.mdb.write_file(ticDat, filePath)))
tdf.mdb.write_file(ticDat, filePath, allow_overwrite=True)
accdbTicDat = tdf.mdb.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, accdbTicDat))
self.assertTrue(self.firesException(changeit))
self.assertTrue(tdf._same_data(ticDat, accdbTicDat))
def testDietOpalytics(self):
if not self.can_run:
return
for hack, raw_data, activeEnabled in list(
itertools.product(*(([True, False], ) * 3))):
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(tdf.copy_tic_dat(dietData()))
inputset = create_inputset_mock(tdf, ticDat, hack, activeEnabled)
pdf = PanDatFactory(**dietSchema())
panDat = pdf.opalytics.create_pan_dat(inputset)
self.assertFalse(pdf.find_duplicates(panDat))
ticDat2 = pdf.copy_to_tic_dat(panDat)
self.assertTrue(tdf._same_data(ticDat, ticDat2))
tdf2 = TicDatFactory(
**{
k: [pks, list(dfs) + ["dmy"]]
for k, (pks, dfs) in tdf.schema().items()
})
_dat = tdf2.copy_tic_dat(ticDat)
panDat = pdf.opalytics.create_pan_dat(
create_inputset_mock(tdf2, _dat, hack))
self.assertTrue(tdf._same_data(ticDat,
pdf.copy_to_tic_dat(panDat)))
pdf2 = PanDatFactory(**tdf2.schema())
ex = self.firesException(lambda: pdf2.opalytics.create_pan_dat(
inputset, raw_data=raw_data))
self.assertTrue(
all(_ in ex for _ in ["(table, field) pairs missing"] +
["'%s', 'dmy'" % _ for _ in pdf2.all_tables]))
def testWeirdDiets(self):
if not self.can_run:
return
filePath = os.path.join(_scratchDir, "weirdDiet.db")
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(dietData(),t) for t in tdf.primary_key_fields}))
tdf2 = TicDatFactory(**dietSchemaWeirdCase())
dat2 = copyDataDietWeirdCase(ticDat)
tdf2.sql.write_db_data(dat2, filePath , allow_overwrite=True)
self.assertFalse(tdf2.sql.find_duplicates(filePath))
sqlTicDat = tdf.sql.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, sqlTicDat))
tdf3 = TicDatFactory(**dietSchemaWeirdCase2())
dat3 = copyDataDietWeirdCase2(ticDat)
tdf3.sql.write_db_data(dat3, makeCleanPath(filePath))
with sql.connect(filePath) as con:
con.execute("ALTER TABLE nutrition_quantities RENAME TO [nutrition quantities]")
sqlTicDat2 = tdf3.sql.create_tic_dat(filePath)
self.assertTrue(tdf3._same_data(dat3, sqlTicDat2))
with sql.connect(filePath) as con:
con.execute("create table nutrition_quantities(boger)")
self.assertTrue(self.firesException(lambda : tdf3.sql.create_tic_dat(filePath)))
def testDietWithInfFlagging(self):
diet_pdf = PanDatFactory(**dietSchema())
addDietDataTypes(diet_pdf)
tdf = TicDatFactory(**dietSchema())
dat = tdf.copy_to_pandas(tdf.copy_tic_dat(dietData()),
drop_pk_columns=False)
diet_pdf.set_infinity_io_flag(999999999)
core_path = os.path.join(_scratchDir, "diet_with_inf_flagging")
diet_pdf.sql.write_file(dat, core_path + ".db")
diet_pdf.csv.write_directory(dat, core_path + "_csv")
diet_pdf.json.write_file(dat, core_path + ".json")
diet_pdf.xls.write_file(dat, core_path + ".xlsx")
for attr, f in [["sql", core_path + ".db"],
["csv", core_path + "_csv"],
["json", core_path + ".json"],
["xls", core_path + ".xlsx"]]:
dat_1 = getattr(diet_pdf, attr).create_pan_dat(f)
self.assertTrue(diet_pdf._same_data(dat, dat_1, epsilon=1e-5))
pdf = diet_pdf.clone()
dat_1 = getattr(pdf, attr).create_pan_dat(f)
self.assertTrue(pdf._same_data(dat, dat_1, epsilon=1e-5))
pdf = PanDatFactory(**diet_pdf.schema())
dat_1 = getattr(pdf, attr).create_pan_dat(f)
self.assertFalse(pdf._same_data(dat, dat_1, epsilon=1e-5))
protein = dat_1.categories["name"] == "protein"
self.assertTrue(
list(dat_1.categories[protein]["maxNutrition"])[0] ==
999999999)
dat_1.categories.loc[protein, "maxNutrition"] = float("inf")
self.assertTrue(pdf._same_data(dat, dat_1, epsilon=1e-5))
def testDietCleaningOpalyticsTwo(self):
tdf = TicDatFactory(**dietSchema())
addDietForeignKeys(tdf)
tdf.set_data_type("categories",
"maxNutrition",
min=66,
inclusive_max=True)
ticDat = tdf.copy_tic_dat(dietData())
input_set = create_inputset_mock(tdf, ticDat)
pdf = PanDatFactory(**dietSchema())
addDietForeignKeys(pdf)
pdf.set_data_type("categories",
"maxNutrition",
min=66,
inclusive_max=True)
panDat = pdf.opalytics.create_pan_dat(input_set, raw_data=True)
self.assertTrue(tdf._same_data(pdf.copy_to_tic_dat(panDat), ticDat))
panDatPurged = pdf.opalytics.create_pan_dat(input_set, raw_data=False)
self.assertFalse(
tdf._same_data(pdf.copy_to_tic_dat(panDatPurged), ticDat))
ticDat.categories.pop("fat")
self.assertFalse(
tdf._same_data(pdf.copy_to_tic_dat(panDatPurged), ticDat))
tdf.remove_foreign_key_failures(ticDat)
self.assertTrue(
tdf._same_data(pdf.copy_to_tic_dat(panDatPurged), ticDat))
def testWeirdDiets(self):
if not _can_accdb_unit_test:
return
filePath = os.path.join(_scratchDir, "weirdDiet.accdb")
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(dietData(),t) for t in tdf.primary_key_fields}))
tdf2 = TicDatFactory(**dietSchemaWeirdCase())
dat2 = copyDataDietWeirdCase(ticDat)
tdf2.mdb.write_file(dat2, filePath , allow_overwrite=True)
accdbTicDat = tdf.mdb.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, accdbTicDat))
tdf3 = TicDatFactory(**dietSchemaWeirdCase2())
dat3 = copyDataDietWeirdCase2(ticDat)
tdf3.mdb.write_file(dat3, makeCleanPath(filePath))
with py.connect(_connection_str(filePath)) as con:
con.cursor().execute("SELECT * INTO [nutrition quantities] FROM nutrition_quantities").commit()
con.cursor().execute("DROP TABLE nutrition_quantities").commit()
accdbTicDat2 = tdf3.mdb.create_tic_dat(filePath)
self.assertTrue(tdf3._same_data(dat3, accdbTicDat2))
with py.connect(_connection_str(filePath)) as con:
con.cursor().execute("create table nutrition_quantities (boger int)").commit()
self.assertTrue(self.firesException(lambda : tdf3.mdb.create_tic_dat(filePath)))
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)
self.assertFalse(tdf.sql.find_duplicates(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, allow_overwrite=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))
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 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))
def testSqlSimple(self):
if not self.can_run:
return
tdf = TicDatFactory(**dietSchema())
pdf = PanDatFactory(**dietSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**{t: getattr(dietData(), t)
for t in tdf.primary_key_fields}))
panDat = pan_dat_maker(dietSchema(), ticDat)
filePath = os.path.join(_scratchDir, "diet.db")
pdf.sql.write_file(panDat, filePath)
sqlPanDat = pdf.sql.create_pan_dat(filePath)
self.assertTrue(pdf._same_data(panDat, sqlPanDat))
pdf2 = PanDatFactory(**{t: '*' for t in pdf.all_tables})
pdf2.sql.write_file(panDat, filePath)
sqlPanDat = pdf2.sql.create_pan_dat(filePath)
self.assertTrue(pdf._same_data(panDat, sqlPanDat))
tdf = TicDatFactory(**netflowSchema())
pdf = PanDatFactory(**netflowSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**
{t: getattr(netflowData(), t)
for t in tdf.primary_key_fields}))
panDat = pan_dat_maker(netflowSchema(), ticDat)
filePath = os.path.join(_scratchDir, "netflow.db")
pdf.sql.write_file(panDat, filePath)
panDat2 = pdf.sql.create_pan_dat(filePath)
self.assertTrue(pdf._same_data(panDat, panDat2))
pdf2 = PanDatFactory(**{t: '*' for t in pdf.all_tables})
sqlPanDat = pdf2.sql.create_pan_dat(filePath)
self.assertTrue(pdf._same_data(panDat, sqlPanDat))
def testTwo(self):
objOrig = dietData()
staticFactory = TicDatFactory(**dietSchema())
tables = set(staticFactory.primary_key_fields)
ticDat = staticFactory.freeze_me(staticFactory.TicDat(**{t:getattr(objOrig,t) for t in tables}))
self.assertTrue(staticFactory.good_tic_dat_object(ticDat))
for t in tables :
self._assertSame(getattr(objOrig, t), getattr(ticDat,t),
lambda _t : staticFactory.good_tic_dat_table(_t, t))
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 testMissingTable(self):
if not self.can_run:
return
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(tdf.copy_tic_dat(dietData()))
inputset = create_inputset_mock(tdf, ticDat)
tdf2 = TicDatFactory(**(dict(dietSchema(), missing_table=[["a"],["b"]])))
ticDat2 = tdf2.opalytics.create_tic_dat(inputset)
self.assertTrue(tdf._same_data(ticDat, ticDat2))
self.assertFalse(ticDat2.missing_table)
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 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 testXlsSimple(self):
if not self.can_run:
return
tdf = TicDatFactory(**dietSchema())
pdf = PanDatFactory(**dietSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**{t: getattr(dietData(), t)
for t in tdf.primary_key_fields}))
panDat = pan_dat_maker(dietSchema(), ticDat)
filePath = os.path.join(_scratchDir, "diet.xlsx")
pdf.xls.write_file(panDat, filePath)
xlsPanDat = pdf.xls.create_pan_dat(filePath)
self.assertTrue(pdf._same_data(panDat, xlsPanDat))
pdf_shrunk = PanDatFactory(**{
k: v
for k, v in dietSchema().items() if k != "nutritionQuantities"
})
self.assertTrue(len(pdf_shrunk.all_tables) == len(pdf.all_tables) - 1)
xlsPanDatShrunk = pdf_shrunk.xls.create_pan_dat(filePath)
self.assertTrue(pdf_shrunk._same_data(panDat, xlsPanDatShrunk))
filePathShrunk = os.path.join(_scratchDir, "diet_shrunk.xlsx")
self.assertTrue(
self.firesException(
lambda: pdf.xls.create_pan_dat(filePathShrunk)))
pdf_shrunk.xls.write_file(panDat, filePathShrunk)
xlsPanDatShrunk = pdf.xls.create_pan_dat(filePathShrunk)
self.assertTrue(pdf_shrunk._same_data(panDat, xlsPanDatShrunk))
pdf2 = PanDatFactory(**{t: '*' for t in pdf.all_tables})
pdf2.xls.write_file(panDat, filePath)
xlsPanDat = pdf2.xls.create_pan_dat(filePath)
self.assertTrue(pdf._same_data(panDat, xlsPanDat))
tdf = TicDatFactory(**netflowSchema())
pdf = PanDatFactory(**netflowSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**
{t: getattr(netflowData(), t)
for t in tdf.primary_key_fields}))
panDat = pan_dat_maker(netflowSchema(), ticDat)
filePath = os.path.join(_scratchDir, "netflow.xlsx")
pdf.xls.write_file(panDat, filePath)
panDat2 = pdf.xls.create_pan_dat(filePath)
self.assertTrue(pdf._same_data(panDat, panDat2))
pdf2 = PanDatFactory(**{t: '*' for t in pdf.all_tables})
xlsPanDat = pdf2.xls.create_pan_dat(filePath)
self.assertTrue(pdf._same_data(panDat, xlsPanDat))
def testDiet(self):
if not self.can_run:
return
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**{t: getattr(dietData(), t)
for t in tdf.primary_key_fields}))
self._test_generic_copy(ticDat, tdf)
self._test_generic_copy(ticDat, tdf, ["nutritionQuantities"])
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))
tdf.xls.write_file(ticDat, filePath + "x")
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)))
xlsTicDat.categories["calories"]["minNutrition"] = 12
self.assertFalse(tdf._same_data(ticDat, xlsTicDat))
self.assertFalse(tdf.xls.find_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 testDiet(self):
if not self.can_run:
return
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(tdf.TicDat(**{t:getattr(dietData(),t) for t in tdf.primary_key_fields}))
self._test_generic_copy(ticDat, tdf)
self._test_generic_copy(ticDat, tdf, ["nutritionQuantities"])
dirPath = os.path.join(_scratchDir, "diet")
tdf.csv.write_directory(ticDat,dirPath)
self.assertFalse(tdf.csv.find_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))
tdf2 = TicDatFactory(**dietSchemaWeirdCase())
dat2 = copyDataDietWeirdCase(ticDat)
tdf2.csv.write_directory(dat2, dirPath, allow_overwrite=True)
csvTicDat2 = tdf.csv.create_tic_dat(dirPath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, csvTicDat2))
os.rename(os.path.join(dirPath, "nutritionquantities.csv"),
os.path.join(dirPath, "nutritionquantities.csv".upper()))
csvTicDat2 = tdf.csv.create_tic_dat(dirPath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, csvTicDat2))
tdf3 = TicDatFactory(**dietSchemaWeirdCase2())
dat3 = copyDataDietWeirdCase2(ticDat)
tdf3.csv.write_directory(dat3, dirPath, allow_overwrite=True)
os.rename(os.path.join(dirPath, "nutrition_quantities.csv"),
os.path.join(dirPath, "nutrition quantities.csv"))
csvDat3 = tdf3.csv.create_tic_dat(dirPath)
self.assertTrue(tdf3._same_data(dat3, csvDat3))
shutil.copy(os.path.join(dirPath, "nutrition quantities.csv"),
os.path.join(dirPath, "nutrition_quantities.csv"))
self.assertTrue(self.firesException(lambda : tdf3.csv.create_tic_dat(dirPath)))
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 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 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 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 testJsonCross(self):
if not self.can_run:
return
tdf = TicDatFactory(**dietSchema())
pdf = PanDatFactory(**dietSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**{t: getattr(dietData(), t)
for t in tdf.primary_key_fields}))
panDat = pan_dat_maker(dietSchema(), ticDat)
filePath = os.path.join(_scratchDir, "diet_cross.json")
pdf.json.write_file(panDat, filePath)
ticDat2 = tdf.json.create_tic_dat(filePath, from_pandas=True)
self.assertTrue(tdf._same_data(ticDat, ticDat2, epsilon=0.0001))
tdf.json.write_file(ticDat,
filePath,
allow_overwrite=True,
to_pandas=True)
panDat2 = pdf.json.create_pan_dat(filePath)
self.assertTrue(pdf._same_data(panDat, panDat2, epsilon=0.0001))
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 testDiet(self):
if not _can_unit_test:
return
tdf = TicDatFactory(**dietSchema())
ticDat = tdf.freeze_me(
tdf.TicDat(
**{t: getattr(dietData(), t)
for t in tdf.primary_key_fields}))
filePath = "diet.accdb"
self.assertFalse(tdf.mdb.find_duplicates(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))
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 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 testLongName(self):
prepend = "b" * 20
tdf = TicDatFactory(
**{prepend * 2 + t: v
for t, v in dietSchema().items()})
self.assertTrue(
self.firesException(
lambda: tdf.xls._verify_differentiable_sheet_names()))
tdf = TicDatFactory(
**{prepend + t: v
for t, v in dietSchema().items()})
ticDat = tdf.freeze_me(
tdf.TicDat(
**{
t: getattr(dietData(), t.replace(prepend, ""))
for t in tdf.primary_key_fields
}))
filePath = os.path.join(_scratchDir, "longname.xls")
tdf.xls.write_file(ticDat, filePath)
self.assertFalse(tdf.xls.find_duplicates(filePath))
ticDat2 = tdf.xls.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, ticDat2))
