def _xls_write(self, tic_dat, file_path, tbl_name_mapping):
verify(xlwt,
"Can't write .xls files because xlwt package isn't installed.")
tdf = self.tic_dat_factory
book = xlwt.Workbook()
for t in sorted(sorted(tdf.all_tables),
key=lambda x: len(tdf.primary_key_fields.get(x, ()))):
sheet = book.add_sheet(tbl_name_mapping[t][:_longest_sheet])
for i, f in enumerate(
tdf.primary_key_fields.get(t, ()) +
tdf.data_fields.get(t, ())):
sheet.write(0, i, f)
_t = getattr(tic_dat, t)
if utils.dictish(_t):
for row_ind, (p_key, data) in enumerate(_t.items()):
for field_ind, cell in enumerate(
(p_key if containerish(p_key) else (p_key, )) +
tuple(data[_f]
for _f in tdf.data_fields.get(t, ()))):
sheet.write(row_ind + 1, field_ind, cell)
else:
for row_ind, data in enumerate(
_t if containerish(_t) else _t()):
for field_ind, cell in enumerate(
tuple(data[_f] for _f in tdf.data_fields[t])):
sheet.write(row_ind + 1, field_ind, cell)
if os.path.exists(file_path):
os.remove(file_path)
book.save(file_path)
def write_directory(self,
tic_dat,
dir_path,
allow_overwrite=False,
dialect='excel',
write_header=True):
"""
write the ticDat data to a collection of csv files
:param tic_dat: the data object
:param dir_path: the directory in which to write the csv files
:param allow_overwrite: boolean - are we allowed to overwrite existing
files?
:param dialect: the csv dialect. Consult csv documentation for details.
:param write_header: Boolean. Should the header information be written
as the first row?
:return:
"""
verify(csv, "csv needs to be installed to use this subroutine")
verify(dialect in csv.list_dialects(), "Invalid dialect %s" % dialect)
verify(not os.path.isfile(dir_path),
"A file is not a valid directory path")
if self.tic_dat_factory.generic_tables:
dat, tdf = create_generic_free(tic_dat, self.tic_dat_factory)
return tdf.csv.write_directory(dat, dir_path, allow_overwrite,
dialect, write_header)
tdf = self.tic_dat_factory
msg = []
if not self.tic_dat_factory.good_tic_dat_object(
tic_dat, lambda m: msg.append(m)):
raise TicDatError("Not a valid TicDat object for this schema : " +
" : ".join(msg))
if not allow_overwrite:
for t in tdf.all_tables:
f = os.path.join(dir_path, t + ".csv")
verify(not os.path.exists(f),
"The %s path exists and overwrite is not allowed" % f)
if not os.path.isdir(dir_path):
os.mkdir(dir_path)
for t in tdf.all_tables:
f = os.path.join(dir_path, t + ".csv")
with open(f, 'w') as csvfile:
writer = csv.DictWriter(
csvfile,
dialect=dialect,
fieldnames=tdf.primary_key_fields.get(t, ()) +
tdf.data_fields.get(t, ()))
writer.writeheader() if write_header else None
_t = getattr(tic_dat, t)
if dictish(_t):
for p_key, data_row in _t.items():
primaryKeyDict = {
f: v
for f, v in zip(
tdf.primary_key_fields[t],
p_key if containerish(p_key) else (p_key, ))
}
writer.writerow(dict(data_row, **primaryKeyDict))
else:
for data_row in (_t if containerish(_t) else _t()):
writer.writerow(dict(data_row))
def _xlsx_write(self, tic_dat, file_path, tbl_name_mapping):
verify(xlsx, "Can't write .xlsx files because xlsxwriter package isn't installed.")
tdf = self.tic_dat_factory
if os.path.exists(file_path):
os.remove(file_path)
book = xlsx.Workbook(file_path)
def clean_for_write(t, f, x):
if self.tic_dat_factory.infinity_io_flag != "N/A" or \
(t == "parameters" and self.tic_dat_factory.parameters):
return self.tic_dat_factory._infinity_flag_write_cell(t, f, x)
if x in [float("inf"), -float("inf")] or isinstance(x, datetime.datetime):
return str(x)
return x
for t in sorted(sorted(tdf.all_tables),
key=lambda x: len(tdf.primary_key_fields.get(x, ()))) :
all_flds = self.tic_dat_factory.primary_key_fields.get(t, ()) + self.tic_dat_factory.data_fields.get(t, ())
sheet = book.add_worksheet(tbl_name_mapping[t][:_longest_sheet])
for i,f in enumerate(tdf.primary_key_fields.get(t,()) + tdf.data_fields.get(t, ())) :
sheet.write(0, i, f)
_t = getattr(tic_dat, t)
if utils.dictish(_t) :
for row_ind, (p_key, data) in enumerate(_t.items()) :
for field_ind, cell in enumerate( (p_key if containerish(p_key) else (p_key,)) +
tuple(data[_f] for _f in tdf.data_fields.get(t, ()))):
sheet.write(row_ind+1, field_ind, clean_for_write(t, all_flds[field_ind], cell))
else :
for row_ind, data in enumerate(_t if containerish(_t) else _t()) :
for field_ind, cell in enumerate(tuple(data[_f] for _f in tdf.data_fields[t])) :
sheet.write(row_ind+1, field_ind, clean_for_write(t, all_flds[field_ind], cell))
book.close()
def set_data_type(self, table, field, number_allowed = True,
inclusive_min = True, inclusive_max = False, min = 0, max = float("inf"),
must_be_int = False, strings_allowed= (), nullable = False):
"""
sets the data type for a field. By default, fields don't have types. Adding a data type doesn't block
data of the wrong type from being entered. Data types are useful for recognizing errant data entries
with find_data_type_failures(). Errant data entries can be replaced with replace_data_type_failures().
:param table: a table in the schema
:param field: a data field for this table
:param number_allowed: boolean does this field allow numbers?
:param inclusive_min: boolean : if number allowed, is the min inclusive?
:param inclusive_max: boolean : if number allowed, is the max inclusive?
:param min: if number allowed, the minimum value
:param max: if number allowed, the maximum value
:param must_be_int: boolean : if number allowed, must the number be integral?
:param strings_allowed: if a collection - then a list of the strings allowed.
The empty collection prohibits strings.
If a "*", then any string is accepted.
:param nullable : boolean : can this value contain null (aka None aka nan (since pandas treats null as nan))
:return:
"""
verify(not self._has_been_used,
"The data types can't be changed after a PanDatFactory has been used.")
verify(table in self.all_tables, "Unrecognized table name %s"%table)
verify(table not in self.generic_tables, "Cannot set data type for generic table")
verify(field in self.data_fields[table] + self.primary_key_fields[table],
"%s does not refer to a field for %s"%(field, table))
verify((strings_allowed == '*') or
(containerish(strings_allowed) and all(utils.stringish(x) for x in strings_allowed)),
"""The strings_allowed argument should be a container of strings, or the single '*' character.""")
if utils.containerish(strings_allowed):
strings_allowed = tuple(strings_allowed) # defensive copy
if number_allowed:
verify(utils.numericish(max), "max should be numeric")
verify(utils.numericish(min), "min should be numeric")
verify(max >= min, "max cannot be smaller than min")
self._data_types[table][field] = TypeDictionary(number_allowed=True,
strings_allowed=strings_allowed, nullable = bool(nullable),
min = min, max = max, inclusive_min= bool(inclusive_min), inclusive_max = bool(inclusive_max),
must_be_int = bool(must_be_int))
else :
self._data_types[table][field] = TypeDictionary(number_allowed=False,
strings_allowed=strings_allowed, nullable = bool(nullable),
min = 0, max = float("inf"), inclusive_min= True, inclusive_max = True,
must_be_int = False)
def assertTicDatTablesSame(t1, t2, _goodTicDatTable,
_assertTrue = assertTrue, _assertFalse = assertFalse) :
_assertTrue(set(t1) == set(t2))
_assertTrue(_goodTicDatTable(t1) and _goodTicDatTable(t2))
if not dictish(t1) and not dictish(t2) :
return
if dictish(t1) != dictish(t2) and dictish(t2) :
t1,t2 = t2,t1
if not dictish(t2) :
_assertTrue(all(containerish(x) and len(x) == 0 for x in t1.values()))
return
for k1,v1 in t1.items() :
v2 = t2[k1]
if dictish(v1) != dictish(v2) and dictish(v2) :
v2, v1 = v1, v2
if dictish(v1) and dictish(v2) :
_assertTrue(set(v1) == set(v2))
for _k1 in v1 :
_assertTrue(v1[_k1] == v2[_k1])
elif dictish(v1) and containerish(v2) :
_assertTrue(sorted(v1.values()) == sorted(v2))
elif dictish(v1) :
_assertTrue(len(v1) == 1 and v1.values()[0] == v2)
else :
if containerish(v1) != containerish(v2) and containerish(v2) :
v2, v1 = v1, v2
if containerish(v1) and containerish(v2) :
_assertTrue(len(v1) == len(v2))
_assertTrue(all(v1[x] == v2[x] for x in range(len(v1))))
elif containerish(v1) :
_assertTrue(len(v1) == 1 and v1[0] == v2)
else :
_assertTrue(v1 == v2)
def copy_to_ampl(self, pan_dat, field_renamings = None, excluded_tables = None):
"""
copies the pan_dat object into a new pan_dat object populated with amplpy.DataFrame objects
performs a deep copy
:param pan_dat: a PanDat object
:param field_renamings: dict or None. If fields are to be renamed in the copy, then
a mapping from (table_name, field_name) -> new_field_name
If a data field is to be omitted, then new_field can be falsey
table_name cannot refer to an excluded table. (see below)
field_name doesn't have to refer to a field to an element of
self.data_fields[t], but it doesn't have to refer to a column in
the pan_dat.table_name DataFrame
:param excluded_tables: If truthy, a list of tables to be excluded from the copy.
Tables without primary key fields are always excluded.
:return: a deep copy of the tic_dat argument into amplpy.DataFrames
"""
verify(amplpy, "amplpy needs to be installed in order to enable AMPL functionality")
msg = []
verify(self.good_pan_dat_object(pan_dat, msg.append),
"pan_dat not a good object for this factory : %s"%"\n".join(msg))
verify(not excluded_tables or (containerish(excluded_tables) and
set(excluded_tables).issubset(self.all_tables)),
"bad excluded_tables argument")
copy_tables = {t for t in self.all_tables if self.primary_key_fields[t]}.\
difference(excluded_tables or [])
field_renamings = field_renamings or {}
verify(dictish(field_renamings), "invalid field_renamings argument")
for k,v in field_renamings.items():
verify(containerish(k) and len(k) == 2 and k[0] in copy_tables and
k[1] in getattr(pan_dat, k[0]).columns and
((v and utils.stringish(v)) or (not bool(v) and k[1] not in self.primary_key_fields[k[0]])),
"invalid field_renamings argument %s:%s"%(k,v))
class AmplPanDat(object):
def __repr__(self):
return "td:" + tuple(copy_tables).__repr__()
rtn = AmplPanDat()
for t in copy_tables:
rename = lambda f : field_renamings.get((t, f), f)
df_ampl = amplpy.DataFrame(index=tuple(map(rename, self.primary_key_fields[t])))
for f in self.primary_key_fields[t]:
df_ampl.setColumn(rename(f), list(getattr(pan_dat, t)[f]))
for f in {f for _t,f in field_renamings if _t == t}.union(self.data_fields[t]):
if rename(f):
df_ampl.addColumn(rename(f), list(getattr(pan_dat, t)[f]))
setattr(rtn, t, df_ampl)
return rtn
def assertTicDatTablesSame(t1, t2, _goodTicDatTable,
_assertTrue = assertTrue, _assertFalse = assertFalse) :
_assertTrue(set(t1) == set(t2))
_assertTrue(_goodTicDatTable(t1) and _goodTicDatTable(t2))
if not dictish(t1) and not dictish(t2) :
return
if dictish(t1) != dictish(t2) and dictish(t2) :
t1,t2 = t2,t1
if not dictish(t2) :
_assertTrue(all(containerish(x) and len(x) == 0 for x in t1.values()))
return
for k1,v1 in t1.items() :
v2 = t2[k1]
if dictish(v1) != dictish(v2) and dictish(v2) :
v2, v1 = v1, v2
if dictish(v1) and dictish(v2) :
_assertTrue(set(v1) == set(v2))
for _k1 in v1 :
_assertTrue(v1[_k1] == v2[_k1])
elif dictish(v1) and containerish(v2) :
_assertTrue(sorted(map(str, v1.values())) == sorted(map(str, v2)))
elif dictish(v1) :
_assertTrue(len(v1) == 1 and v1.values()[0] == v2)
else :
if containerish(v1) != containerish(v2) and containerish(v2) :
v2, v1 = v1, v2
if containerish(v1) and containerish(v2) :
_assertTrue(len(v1) == len(v2))
_assertTrue(all(v1[x] == v2[x] for x in range(len(v1))))
elif containerish(v1) :
_assertTrue(len(v1) == 1 and v1[0] == v2)
else :
_assertTrue(v1 == v2)
def convert_to_dicts_that_can_be_turned_into_DataFrames(
tdf, dat, field_renamings=None):
'''
utility routine to help de-ticdat-ify small examples so that they can then be passed to
amplpy team in a more easily understood notebook example with hard coded data.
the inner dicts returned below can each be passed as an argument to pandas.DataFrame, and from there
the `set_ampl_data` logic can be broken out explicitly
:param tdf: a TicDatFactory
:param dat: a TicDat object created by tdf
:param field_renamings: the same argument used by copy_to_ampl
:return:
'''
assert utils.dictish(field_renamings) and \
all(utils.containerish(k) and len(k) == 2 and k[0] in tdf.all_tables and
k[1] in tdf.primary_key_fields[k[0]] + tdf.data_fields[k[0]] and
utils.stringish(v) and v not in tdf.primary_key_fields[k[0]] + tdf.data_fields[k[0]]
for k,v in field_renamings.items()), "invalid field_renamings argument"
dat = tdf.copy_to_pandas(dat, drop_pk_columns=False)
def do_renames(t, df):
for f in tdf.primary_key_fields[t] + tdf.data_fields[t]:
if (t, f) in (field_renamings or []):
df[field_renamings[t, f]] = df[f]
df.drop(f, axis=1, inplace=True)
return df
rtn = {
t: do_renames(t,
getattr(dat, t).reset_index(drop=True)).to_dict()
for t in tdf.all_tables
}
return rtn
def make_json_dict(tdf,
tic_dat,
verbose=False,
use_infinity_io_flag_if_provided=False):
assert tdf.good_tic_dat_object(tic_dat)
def write_cell(t, f, x):
if isinstance(x, datetime.datetime):
return str(x)
return x if not use_infinity_io_flag_if_provided else tdf._infinity_flag_write_cell(
t, f, x)
jdict = defaultdict(list)
for t in tdf.all_tables:
all_fields = tdf.primary_key_fields.get(t, ()) + tdf.data_fields.get(
t, ())
def make_row(row):
assert containerish(row) and len(row) == len(all_fields)
row = [write_cell(t, f, x) for f, x in zip(all_fields, row)]
return {f: v for f, v in zip(all_fields, row)} if verbose else row
appender = lambda row: jdict[t].append(make_row(row))
tbl = getattr(tic_dat, t)
if tdf.primary_key_fields.get(t):
for pk, data_row in tbl.items():
appender((list(pk) if containerish(pk) else [pk]) +
[data_row[df] for df in tdf.data_fields[t]])
else:
for data_row in tbl:
appender([data_row[df] for df in tdf.data_fields[t]])
return jdict
def _get_data(self, tic_dat, as_sql):
rtn = []
for t in self.tic_dat_factory.all_tables:
_t = getattr(tic_dat, t)
if dictish(_t):
primarykeys = tuple(self.tic_dat_factory.primary_key_fields[t])
for pkrow, sqldatarow in _t.items():
_items = list(sqldatarow.items())
fields = primarykeys + tuple(x[0] for x in _items)
datarow = ((pkrow, ) if len(primarykeys) == 1 else
pkrow) + tuple(x[1] for x in _items)
assert len(datarow) == len(fields)
datarow = tuple(
self._write_data_cell(t, f, x)
for f, x in zip(fields, datarow))
str = "INSERT INTO [%s] (%s) VALUES (%s)" % (t, ",".join(
_brackets(fields)), ",".join("%s" if as_sql else "?"
for _ in fields))
if as_sql:
rtn.append((str %
tuple(map(_insert_format, datarow))) + ";")
else:
rtn.append((str, datarow))
else:
for sqldatarow in (_t if containerish(_t) else _t()):
k, v = zip(*sqldatarow.items())
str = "INSERT INTO [%s] (%s) VALUES (%s)"%\
(t, ",".join(_brackets(k)), ",".join(
["%s" if as_sql else "?"]*len(sqldatarow)))
if as_sql:
rtn.append((str % tuple(map(_insert_format, v))) + ";")
else:
rtn.append((str, v))
return tuple(rtn)
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)
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 _xlsx_write(self, tic_dat, file_path, tbl_name_mapping):
verify(
xlsx,
"Can't write .xlsx files because xlsxwriter package isn't installed."
)
tdf = self.tic_dat_factory
if os.path.exists(file_path):
os.remove(file_path)
book = xlsx.Workbook(file_path)
def clean_inf(x):
if x == float("inf"):
return "inf"
if x == -float("inf"):
return "-inf"
return x
for t in sorted(sorted(tdf.all_tables),
key=lambda x: len(tdf.primary_key_fields.get(x, ()))):
sheet = book.add_worksheet(tbl_name_mapping[t])
for i, f in enumerate(
tdf.primary_key_fields.get(t, ()) +
tdf.data_fields.get(t, ())):
sheet.write(0, i, f)
_t = getattr(tic_dat, t)
if utils.dictish(_t):
for row_ind, (p_key, data) in enumerate(_t.items()):
for field_ind, cell in enumerate(
(p_key if containerish(p_key) else (p_key, )) +
tuple(data[_f]
for _f in tdf.data_fields.get(t, ()))):
sheet.write(row_ind + 1, field_ind, clean_inf(cell))
else:
for row_ind, data in enumerate(
_t if containerish(_t) else _t()):
for field_ind, cell in enumerate(
tuple(data[_f] for _f in tdf.data_fields[t])):
sheet.write(row_ind + 1, field_ind, clean_inf(cell))
book.close()
def create_lingo_text(tdf, tic_dat, infinity=INFINITY):
"""
Generate a Lingo .ldt string from a TicDat object
:param tdf: A TicDatFactory defining the schema
:param tic_dat: A TicDat object consistent with tdf
:param infinity: A number used to represent infinity in lingo
:return: A string consistent with the Lingo .ldt format
"""
msg = []
verify(tdf.good_tic_dat_object(tic_dat, msg.append),
"tic_dat not a good object for this factory : %s" % "\n".join(msg))
verify(not tdf.generator_tables, "doesn't work with generator tables.")
verify(
not tdf.generic_tables,
"doesn't work with generic tables. (not yet - will add ASAP as needed) "
)
dict_with_lists = defaultdict(list)
dict_tables = {t for t, pk in tdf.primary_key_fields.items() if pk}
prepend = getattr(tdf, "lingo_prepend", "")
for t in dict_tables:
for k, r in getattr(tic_dat, t).items():
row = list(k) if containerish(k) else [k]
for f in tdf.data_fields.get(t, []):
row.append(r[f])
dict_with_lists[t].append(row)
for t in set(tdf.all_tables).difference(dict_tables):
for r in getattr(tic_dat, t):
row = [r[f] for f in tdf.data_fields[t]]
dict_with_lists[t].append(row)
rtn = "data:\n"
for t in _sorted_tables(tdf):
rtn += "%s" % (prepend + t)
for field in tdf.data_fields[t]:
rtn += ',' + prepend + t + "_" + field.replace(" ", "_").lower()
rtn += "=\n"
for row in dict_with_lists[t]:
rtn += "\t"
for field in row:
if stringish(field):
rtn += field + " "
else:
rtn += str(infinity) if float(
'inf') == field else str(field) + " "
rtn += "\n"
rtn += ";\n"
rtn += "enddata"
return rtn
def create_opl_text(tdf, tic_dat, infinity=INFINITY):
"""
Generate a OPL .dat string from a TicDat object
:param tdf: A TicDatFactory defining the schema
:param tic_dat: A TicDat object consistent with tdf
:param infinity: A number used to represent infinity in OPL
:return: A string consistent with the OPL .dat format
"""
msg = []
verify(tdf.good_tic_dat_object(tic_dat, msg.append),
"tic_dat not a good object for this factory : %s" % "\n".join(msg))
verify(not tdf.generator_tables, "doesn't work with generator tables.")
verify(
not tdf.generic_tables,
"doesn't work with generic tables. (not yet - will add ASAP as needed) "
)
dict_with_lists = defaultdict(list)
dict_tables = {t for t, pk in tdf.primary_key_fields.items() if pk}
for t in dict_tables:
for k, r in getattr(tic_dat, t).items():
row = list(k) if containerish(k) else [k]
for f in tdf.data_fields.get(t, []):
row.append(r[f])
dict_with_lists[t].append(row)
for t in set(tdf.all_tables).difference(dict_tables):
for r in getattr(tic_dat, t):
row = [r[f] for f in tdf.data_fields[t]]
dict_with_lists[t].append(row)
rtn = ""
for i, (t, l) in enumerate(dict_with_lists.items()):
rtn += "\n" if i > 0 else ""
rtn += "%s = {" % (tdf.opl_prepend + t)
if len(l[0]) > 1:
rtn += "\n"
for x in range(len(l)):
r = l[x]
if len(r) > 1:
rtn += "<"
for i, v in enumerate(r):
rtn += ('"%s"' % v if stringish(v) else
(str(infinity) if float('inf') == v else str(v))) + (
", " if i < len(r) - 1 else "")
if len(r) == 1 and len(l) - 1 != x:
rtn += ', '
if len(r) > 1:
rtn += ">\n"
rtn += "};\n"
return rtn
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 make_json_dict(tdf, tic_dat, verbose=False):
assert tdf.good_tic_dat_object(tic_dat)
jdict = defaultdict(list)
for t in tdf.all_tables:
all_fields = tdf.primary_key_fields.get(t,()) + tdf.data_fields.get(t,())
def make_row(row):
assert containerish(row) and len(row) == len(all_fields)
return {f:v for f,v in zip(all_fields, row)} if verbose else row
appender = lambda row : jdict[t].append(make_row(row))
tbl = getattr(tic_dat, t)
if tdf.primary_key_fields.get(t):
for pk, data_row in tbl.items():
appender((list(pk) if containerish(pk) else [pk]) +
[data_row[df] for df in tdf.data_fields[t]])
else:
for data_row in tbl:
appender([data_row[df] for df in tdf.data_fields[t]])
return jdict
def _try_create_space_case_mapping(tdf, ticdat):
'''
:param tdf: a TicDatFactory
:param ticdat: a ticdat for the tdf
:return: {"mapping:mapping} if a good mapping can be made, else {"failures":failures}
'''
assert tdf.good_tic_dat_object(ticdat), "ticdat not a good object for the tdf"
rtn = defaultdict(set)
for t in tdf.all_tables:
if tdf.primary_key_fields.get(t):
for ks in getattr(ticdat, t):
for k in (ks if containerish(ks) else [ks]):
if stringish(k):
newk = ''.join(list(map(lambda c: c.upper() if c.isalnum() else '_', k)))
rtn[newk].add(k)
failures = {k:tuple(sorted(v)) for k,v in rtn.items() if len(v) > 1}
if failures:
return {"failures":failures}
return {"mapping": {k:next(iter(v)) for k,v in rtn.items()}}
def make_row(row):
assert containerish(row) and len(row) == len(all_fields)
row = [write_cell(t, f, x) for f, x in zip(all_fields, row)]
return {f: v for f, v in zip(all_fields, row)} if verbose else row
def make_row(row):
assert containerish(row) and len(row) == len(all_fields)
return {f: v for f, v in zip(all_fields, row)} if verbose else row
def __init__(self, **init_fields):
"""
create a PanDatFactory
:param init_fields: a mapping of tables to primary key fields
and data fields. Each field listing consists
of two sub lists ... first primary keys fields,
than data fields.
ex: PanDatFactory (categories = [["name"],["Min Nutrition", "Max Nutrition"]],
foods = [["Name"],["Cost"]]
nutritionQuantities = [["Food", "Category"],["Qty"]])
Use '*' instead of a pair of lists for generic tables
ex: PanDatFactory (typical_table = [["Primary Key Field"],["Data Field"]],
generic_table = '*')
:return: a PanDatFactory
"""
verify(DataFrame and pd, "Need to install pandas in order to create a PanDatFactory")
self._has_been_used = False
verify(not any(x.startswith("_") for x in init_fields),
"table names shouldn't start with underscore")
verify(not any(" " in x for x in init_fields), "table names shouldn't have white space")
verify(len(init_fields) == len({_.lower() for _ in init_fields}),
"there are case insensitive duplicate table names")
for k,v in init_fields.items():
verify(v == '*' or
(containerish(v) and len(v) == 2 and all(containerish(_) for _ in v)),
("Table %s needs to indicate it is a generic table by using '*'\n" +
"or specify two sublists, one for primary key fields and one for data fields")
%k)
if v != '*':
verify(all(utils.stringish(s) for _ in v for s in _),
"The field names for %s need to be strings"%k)
verify(v[0] or v[1], "No field names specified for table %s"%k)
verify(len(set(v[0]).union(v[1])) == len(v[0])+len(v[1]),
"There are duplicate field names for table %s"%k)
verify(len({_.lower() for _ in list(v[0]) + list(v[1])}) == len(v[0])+len(v[1]),
"There are case insensitive duplicate field names for %s"%k)
self.generic_tables = frozenset(k for k,v in init_fields.items() if v == '*')
self._primary_key_fields = FrozenDict({k : tuple(v[0])for k,v in init_fields.items()
if v != '*'})
self._data_fields = FrozenDict({k : tuple(v[1]) for k,v in init_fields.items() if v != '*'})
self._default_values = clt.defaultdict(dict)
for tbl,flds in self._data_fields.items():
for fld in flds:
self._default_values[tbl][fld] = 0
self._data_types = clt.defaultdict(dict)
self._data_row_predicates = clt.defaultdict(dict)
self._foreign_keys = clt.defaultdict(set)
self.all_tables = frozenset(init_fields)
superself = self
class PanDat(object):
def __repr__(self):
tlen = lambda t: len(getattr(self, t)) if isinstance(getattr(self, t), DataFrame) else None
return "pd: {" + ", ".join("%s: %s"%(t, tlen(t)) for t in superself.all_tables) + "}"
def __init__(self, **init_tables):
superself._trigger_has_been_used()
for t in init_tables :
verify(t in superself.all_tables, "Unexpected table name %s"%t)
tbl = safe_apply(DataFrame)(init_tables[t])
if tbl is None and dictish(init_tables[t]) and all(map(stringish, init_tables[t])):
tbl = safe_apply(DataFrame)(**init_tables[t])
verify(isinstance(tbl, DataFrame),
"Failed to provide a valid DataFrame or DataFrame construction argument for %s"%t)
setattr(self, t, tbl.copy())
df = getattr(self, t)
if list(df.columns) == list(range(len(df.columns))) and \
len(df.columns) >= len(superself._all_fields(t)):
df.rename(columns={f1:f2 for f1, f2 in zip(df.columns, superself._all_fields(t))},
inplace=True)
for t in set(superself.all_tables).difference(init_tables):
setattr(self, t, DataFrame({f:[] for f in utils.all_fields(superself, t)}))
missing_fields = {(t, f) for t in superself.all_tables for f in superself._all_fields(t)
if f not in getattr(self, t).columns}
verify(not missing_fields,
"The following are (table, field) pairs missing from the data.\n%s"%missing_fields)
for t in superself.all_tables:
af = list(superself._all_fields(t))
df = getattr(self, t)
if list(df.columns)[:len(af)] != af:
extra_cols = [_ for _ in list(df.columns) if _ not in af]
setattr(self, t, df[af + extra_cols])
assert list(getattr(self, t)) == af + extra_cols
self.PanDat = PanDat
self.xls = pandatio.XlsPanFactory(self)
self.sql = pandatio.SqlPanFactory(self)
self.csv = pandatio.CsvPanFactory(self)
self.json = pandatio.JsonPanFactory(self)
self.opalytics = pandatio.OpalyticsPanFactory(self)
def write_file(self, tic_dat, mdb_file_path, allow_overwrite=False):
"""
write the ticDat data to an SQLite database file
:param tic_dat: the data object to write
:param mdb_file_path: the file path of the SQLite database to populate
:param allow_overwrite: boolean - are we allowed to overwrite pre-existing data
:return:
caveats : Numbers with absolute values larger than 1e+100 will
be written as 1e+100 or -1e+100
NB - thrown Exceptions of the form "Data type mismatch in criteria expression"
generally result either from Access's inability to store different data
types in the same field, or from a mismatch between the data object
and the default field types ticdat uses when creating an Access schema.
For the latter, feel free to call the write_schema function on the data
file first with explicitly identified field types.
"""
_standard_verify(self.tic_dat_factory.generic_tables)
msg = []
if not self.tic_dat_factory.good_tic_dat_object(
tic_dat, lambda m: msg.append(m)):
raise TicDatError("Not a valid TicDat object for this schema : " +
" : ".join(msg))
verify(not os.path.isdir(mdb_file_path),
"A directory is not a valid Access file path")
if not os.path.exists(mdb_file_path):
self.write_schema(mdb_file_path)
table_names = self._check_tables_fields(
mdb_file_path, self.tic_dat_factory.all_tables)
with _connect(_connection_str(mdb_file_path)) as con:
for t in self.tic_dat_factory.all_tables:
verify(
table_names[t] == t,
"Failed to find table %s in path %s" % (t, mdb_file_path))
if not allow_overwrite:
with con.cursor() as cur:
cur.execute("Select * from %s" % t)
verify(
not any(True for _ in cur.fetchall()),
"allow_overwrite is False, but there are already data records in %s"
% t)
con.cursor().execute("Delete from %s" %
t).commit() if allow_overwrite else None
_t = getattr(tic_dat, t)
if dictish(_t):
primary_keys = tuple(
self.tic_dat_factory.primary_key_fields[t])
for pk_row, sql_data_row in _t.items():
_items = tuple(sql_data_row.items())
fields = _brackets(primary_keys +
tuple(x[0] for x in _items))
data_row = ((pk_row,) if len(primary_keys)==1 else pk_row) + \
tuple(_write_data(x[1]) for x in _items)
assert len(data_row) == len(fields)
str = "INSERT INTO %s (%s) VALUES (%s)"%\
(t, ",".join(fields), ",".join("?" for _ in fields))
con.cursor().execute(str, data_row).commit()
else:
for sql_data_row in (_t if containerish(_t) else _t()):
str = "INSERT INTO %s (%s) VALUES (%s)" % (t, ",".join(
_brackets(sql_data_row.keys())), ",".join(
["?"] * len(sql_data_row)))
con.cursor().execute(
str, tuple(map(_write_data,
sql_data_row.values())))
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 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 apply_mapping(k):
if containerish(k):
return tuple(list(map(apply_mapping, k)))
return mapping.get(k, k)
def testSilly(self):
if not _can_accdb_unit_test:
return
tdf = TicDatFactory(**sillyMeSchema())
ticDat = tdf.TicDat(**sillyMeData())
filePath = os.path.join(_scratchDir, "silly.accdb")
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())
self.assertFalse(tdf.mdb.find_duplicates(filePath))
accdbTicDat = tdf.mdb.create_tic_dat(filePath)
self.assertTrue(tdf._same_data(ticDat, accdbTicDat))
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 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"))
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,
treat_inf_as_infinity=False)
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="same"):
assert filePath.endswith(".xls")
assert not write_header or write_header in ("lower", "same",
"duped")
import xlwt
book = xlwt.Workbook()
for t in tdf.all_tables:
sheet = book.add_sheet(t)
if write_header:
all_fields = tdf.primary_key_fields.get(
t, ()) + tdf.data_fields.get(t, ())
for i, f in enumerate(
(2 if write_header == "duped" else 1) * all_fields):
sheet.write(
0, i,
f.lower() if write_header == "lower"
or i >= len(all_fields) else f)
for rowInd, row in enumerate(data):
for fieldInd, cellValue in enumerate(
(2 if write_header == "duped" else 1) * row):
sheet.write(rowInd + (1 if write_header else 0),
fieldInd, cellValue)
if os.path.exists(filePath):
os.remove(filePath)
book.save(filePath)
if write_header in [
"lower", "same"
]: # will use pandas to generate the xlsx file version
file_path_x = filePath + "x"
if os.path.exists(file_path_x):
os.remove(file_path_x)
writer = utils.pd.ExcelWriter(file_path_x)
for t, (pks, dfs) in tdf.schema().items():
fields = pks + dfs
if write_header == "lower":
fields = [_.lower() for _ in fields]
d = {f: [] for f in fields}
for row in data:
for f, c in zip(fields, row):
d[f].append(c)
utils.pd.DataFrame(d).to_excel(writer, t, index=False)
writer.save()
writeData([(1, 2, 3, 4), (1, 20, 30, 40), (10, 20, 30, 40)],
write_header="duped")
self.assertTrue(
self.firesException(
lambda: tdf.xls.create_tic_dat(filePath, freeze_it=True)))
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)
for f in [filePath, filePath + "x"]:
rowCount = tdf.xls.find_duplicates(f)
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="lower")
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)
for f in [filePath, filePath + "x"]:
rowCount = tdf.xls.find_duplicates(f)
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.find_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"] == "")
# the workaround for this flaw is to set the data type to be nullabe but not allow the empty string
tdfwa = TicDatFactory(**sillyMeSchema())
tdfwa.set_data_type("a", "aData2", nullable=True)
ticDatNone = tdfwa.xls.create_tic_dat(filePath, freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, ticDatNone))
self.assertTrue(ticDatNone.a["theboger"]["aData2"] == None)
# checking the same thing with .xlsx - using openpyxl, None is indeed recovered even without tdfwa munging!
tdf.xls.write_file(ticDat, filePath + "x", allow_overwrite=True)
ticDatNone = tdf.xls.create_tic_dat(filePath + "x", freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, ticDatNone))
self.assertTrue(ticDatNone.a["theboger"]["aData2"] == None)
ticDatNone = tdfwa.xls.create_tic_dat(filePath + "x", freeze_it=True)
self.assertTrue(tdf._same_data(ticDat, ticDatNone))
self.assertTrue(ticDatNone.a["theboger"]["aData2"] == None)
writeData([(1, 2, 3, 4), (1, 20, 30, 40), (10, 20, 30, 40),
(1, 20, 30, 12)])
for f in [filePath, filePath + "x"]:
rowCount = tdf.xls.find_duplicates(f)
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 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.find_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.find_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)