def cell_add(self, cell, value=None):
"""
Adds a cell to the Spreadsheet. Either the cell argument can be specified, or any combination of the other
arguments.
:param address: the address of the cell
:param cell: a Cell object to add
:param value: (optional) a new value for the cell. In this case, the first argument cell is processed as
an address.
:param formula:
"""
if type(cell) != Cell:
cell = Cell(cell,
None,
value=value,
formula=None,
is_range=False,
is_named_range=False)
addr = cell.address()
if addr in self.cellmap:
raise Exception('Cell %s already in cellmap' % addr)
cellmap, G = graph_from_seeds([cell], self)
self.cellmap = cellmap
self.G = G
print(
"Graph construction updated, %s nodes, %s edges, %s cellmap entries"
% (len(G.nodes()), len(G.edges()), len(cellmap)))
def cell_set_value(self, address, val):
"""
Set the value of a cell
:param address: the address of a cell
:param value: the new value
"""
self.reset_buffer = set()
try:
address = address.replace('$', '')
address = address.replace("'", '')
cell = self.cellmap[address]
# when you set a value on cell, its should_eval flag is set to 'never' so its formula is not used until set free again => sp.activate_formula()
self.cell_fix(address)
# case where the address refers to a range
if cell.is_range:
cells_to_set = []
if not isinstance(val, list):
val = [val] * len(cells_to_set)
self.cell_reset(cell)
cell.range.values = val
# case where the address refers to a single value
else:
if address in self.named_ranges: # if the cell is a named range, we need to update and fix the reference cell
ref_address = self.named_ranges[address]
if ref_address in self.cellmap:
ref_cell = self.cellmap[ref_address]
else:
ref_cell = Cell(ref_address,
None,
value=val,
formula=None,
is_range=False,
is_named_range=False)
self.cell_add(ref_cell)
ref_cell.value = val
if cell.value != val:
if cell.value is None:
cell.value = 'notNone' # hack to avoid the direct return in reset() when value is None
# reset the node + its dependencies
self.cell_reset(cell)
# set the value
cell.value = val
for vol in self.pointers_to_reset: # reset all pointers
self.cell_reset(self.cellmap[vol])
except KeyError:
raise Exception('Cell %s not in cellmap' % address)
def set_value(self, address, val):
self.reset_buffer = set()
if address not in self.cellmap:
raise Exception("Address not present in graph.")
address = address.replace('$', '')
cell = self.cellmap[address]
# when you set a value on cell, its should_eval flag is set to 'never' so its formula is not used until set free again => sp.activate_formula()
self.fix_cell(address)
# case where the address refers to a range
if self.cellmap[address].is_range:
cells_to_set = []
# for a in self.cellmap[address].range.addresses:
# if a in self.cellmap:
# cells_to_set.append(self.cellmap[a])
# self.fix_cell(a)
if type(val) != list:
val = [val] * len(cells_to_set)
self.reset(cell)
cell.range.values = val
# case where the address refers to a single value
else:
if address in self.named_ranges: # if the cell is a named range, we need to update and fix the reference cell
ref_address = self.named_ranges[address]
if ref_address in self.cellmap:
ref_cell = self.cellmap[ref_address]
else:
ref_cell = Cell(ref_address,
None,
value=val,
formula=None,
is_range=False,
is_named_range=False)
self.add_cell(ref_cell)
# self.fix_cell(ref_address)
ref_cell.value = val
if cell.value != val:
if cell.value is None:
cell.value = 'notNone' # hack to avoid the direct return in reset() when value is None
# reset the node + its dependencies
self.reset(cell)
# set the value
cell.value = val
for vol in self.pointers_to_reset: # reset all pointers
self.reset(self.cellmap[vol])
def cell_from_dict(d):
cell_is_range = type(d["value"]) == dict
if cell_is_range:
range = d["value"]
if len(range["values"]) == 0:
range["values"] = [None] * len(range["cells"])
value = RangeCore(range["cells"], range["values"], nrows = range["nrows"], ncols = range["ncols"])
else:
value = d["value"]
new_cell = Cell(d["address"], None, value=value, formula=d["formula"], is_range = cell_is_range, is_named_range=d["is_named_range"], should_eval=d["should_eval"])
new_cell.python_expression = d["python_expression"]
new_cell.compile()
return {"id": new_cell}
def cell_from_dict(d):
cell_is_range = type(d["value"]) == dict
if cell_is_range:
range = d["value"]
if len(range["values"]) == 0:
range["values"] = [None] * len(range["cells"])
value = RangeCore(range["cells"], range["values"], nrows = range["nrows"], ncols = range["ncols"])
else:
value = d["value"]
new_cell = Cell(d["address"], None, value=value, formula=d["formula"], is_range = cell_is_range, is_named_range=d["is_named_range"], should_eval=d["should_eval"])
new_cell.python_expression = d["python_expression"]
new_cell.compile()
return {"id": new_cell}
def set_value(self, address, val):
self.reset_buffer = set()
if address not in self.cellmap:
raise Exception("Address not present in graph.")
address = address.replace('$','')
cell = self.cellmap[address]
# when you set a value on cell, its should_eval flag is set to 'never' so its formula is not used until set free again => sp.activate_formula()
self.fix_cell(address)
# case where the address refers to a range
if self.cellmap[address].is_range:
cells_to_set = []
# for a in self.cellmap[address].range.addresses:
# if a in self.cellmap:
# cells_to_set.append(self.cellmap[a])
# self.fix_cell(a)
if type(val) != list:
val = [val]*len(cells_to_set)
self.reset(cell)
cell.range.values = val
# case where the address refers to a single value
else:
if address in self.named_ranges: # if the cell is a named range, we need to update and fix the reference cell
ref_address = self.named_ranges[address]
if ref_address in self.cellmap:
ref_cell = self.cellmap[ref_address]
else:
ref_cell = Cell(ref_address, None, value = val, formula = None, is_range = False, is_named_range = False )
self.add_cell(ref_cell)
# self.fix_cell(ref_address)
ref_cell.value = val
if cell.value != val:
if cell.value is None:
cell.value = 'notNone' # hack to avoid the direct return in reset() when value is None
# reset the node + its dependencies
self.reset(cell)
# set the value
cell.value = val
for vol_range in self.volatiles: # reset all volatiles
self.reset(self.cellmap[vol_range])
def add_cell(self, cell, value = None):
if type(cell) != Cell:
cell = Cell(cell, None, value = value, formula = None, is_range = False, is_named_range = False)
addr = cell.address()
if addr in self.cellmap:
raise Exception('Cell %s already in cellmap' % addr)
cellmap, G = graph_from_seeds([cell], self)
self.cellmap = cellmap
self.G = G
print "Graph construction updated, %s nodes, %s edges, %s cellmap entries" % (len(G.nodes()),len(G.edges()),len(cellmap))
def add_cell(self, cell, value=None):
if type(cell) != Cell:
cell = Cell(cell,
None,
value=value,
formula=None,
is_range=False,
is_named_range=False)
addr = cell.address()
if addr in self.cellmap:
raise Exception('Cell %s already in cellmap' % addr)
cellmap, G = graph_from_seeds([cell], self)
self.cellmap = cellmap
self.G = G
print "Graph construction updated, %s nodes, %s edges, %s cellmap entries" % (
len(G.nodes()), len(G.edges()), len(cellmap))
def graph_from_seeds(seeds, cell_source):
"""
This creates/updates a networkx graph from a list of cells.
The graph is created when the cell_source is an instance of ExcelCompiler
The graph is updated when the cell_source is an instance of Spreadsheet
"""
# when called from Spreadsheet instance, use the Spreadsheet cellmap and graph
if hasattr(cell_source, 'G'): # ~ cell_source is a Spreadsheet
cellmap = cell_source.cellmap
cells = cellmap
G = cell_source.G
for c in seeds:
G.add_node(c)
cellmap[c.address()] = c
# when called from ExcelCompiler instance, construct cellmap and graph from seeds
else: # ~ cell_source is a ExcelCompiler
cellmap = dict([(x.address(), x) for x in seeds])
cells = cell_source.cells
# directed graph
G = networkx.DiGraph()
# match the info in cellmap
for c in cellmap.values():
G.add_node(c)
# cells to analyze: only formulas
todo = [s for s in seeds if s.formula]
steps = [i for i, s in enumerate(todo)]
names = cell_source.named_ranges
while todo:
c1 = todo.pop()
step = steps.pop()
cursheet = c1.sheet
###### 1) looking for cell c1 dependencies ####################
# print 'C1', c1.address()
# in case a formula, get all cells that are arguments
pystr, ast = cell2code(c1, names)
# set the code & compile it (will flag problems sooner rather than later)
c1.python_expression = pystr.replace('"',
"'") # compilation is done later
if 'OFFSET' in c1.formula or 'INDEX' in c1.formula:
if c1.address(
) not in cell_source.named_ranges: # pointers names already treated in ExcelCompiler
cell_source.pointers.add(c1.address())
# get all the cells/ranges this formula refers to
deps = [x for x in ast.nodes() if isinstance(x, RangeNode)]
# remove dupes
deps = uniqueify(deps)
###### 2) connect dependencies in cells in graph ####################
# ### LOG
# tmp = []
# for dep in deps:
# if dep not in names:
# if "!" not in dep and cursheet != None:
# dep = cursheet + "!" + dep
# if dep not in cellmap:
# tmp.append(dep)
# #deps = tmp
# logStep = "%s %s = %s " % ('|'*step, c1.address(), '',)
# print logStep
# if len(deps) > 1 and 'L' in deps[0] and deps[0] == deps[-1].replace('DG','L'):
# print logStep, "[%s...%s]" % (deps[0], deps[-1])
# elif len(deps) > 0:
# print logStep, "->", deps
# else:
# print logStep, "done"
for dep in deps:
dep_name = dep.tvalue.replace('$', '')
# this is to avoid :A1 or A1: dep due to clean_pointers() returning an ExcelError
if dep_name.startswith(':') or dep_name.endswith(':'):
dep_name = dep_name.replace(':', '')
# if not pointer, we need an absolute address
if dep.tsubtype != 'pointer' and dep_name not in names and "!" not in dep_name and cursheet != None:
dep_name = cursheet + "!" + dep_name
# Named_ranges + ranges already parsed (previous iterations)
if dep_name in cellmap:
origins = [cellmap[dep_name]]
target = cellmap[c1.address()]
# if the dep_name is a multi-cell range, create a range object
elif is_range(dep_name) or (dep_name in names
and is_range(names[dep_name])):
if dep_name in names:
reference = names[dep_name]
else:
reference = dep_name
if 'OFFSET' in reference or 'INDEX' in reference:
start_end = prepare_pointer(reference, names, ref_cell=c1)
rng = cell_source.range(start_end)
if dep_name in names: # dep is a pointer range
address = dep_name
else:
if c1.address(
) in names: # c1 holds is a pointer range
address = c1.address()
else: # a pointer range with no name, its address will be its name
address = '%s:%s' % (start_end["start"],
start_end["end"])
cell_source.pointers.add(address)
else:
address = dep_name
# get a list of the addresses in this range that are not yet in the graph
range_addresses = list(
resolve_range(reference, should_flatten=True)[0])
cellmap_add_addresses = [
addr for addr in range_addresses
if addr not in cellmap.keys()
]
if len(cellmap_add_addresses) > 0:
# this means there are cells to be added
# get row and col dimensions for the sheet, assuming the whole range is in one sheet
sheet_initial = split_address(
cellmap_add_addresses[0])[0]
max_rows, max_cols = max_dimension(
cellmap, sheet_initial)
# create empty cells that aren't in the cellmap
for addr in cellmap_add_addresses:
sheet_new, col_new, row_new = split_address(addr)
# if somehow a new sheet comes up in the range, get the new dimensions
if sheet_new != sheet_initial:
sheet_initial = sheet_new
max_rows, max_cols = max_dimension(
cellmap, sheet_new)
# add the empty cells
if int(row_new) <= max_rows and int(
col2num(col_new)) <= max_cols:
# only add cells within the maximum bounds of the sheet to avoid too many evaluations
# for A:A or 1:1 ranges
cell_new = Cell(addr,
sheet_new,
value="",
should_eval='False'
) # create new cell object
cellmap[
addr] = cell_new # add it to the cellmap
G.add_node(cell_new) # add it to the graph
cell_source.cells[
addr] = cell_new # add it to the cell_source, used in this function
rng = cell_source.range(reference)
if address in cellmap:
virtual_cell = cellmap[address]
else:
virtual_cell = Cell(address,
None,
value=rng,
formula=reference,
is_range=True,
is_named_range=True)
# save the range
cellmap[address] = virtual_cell
# add an edge from the range to the parent
G.add_node(virtual_cell)
# Cell(A1:A10) -> c1 or Cell(ExampleName) -> c1
G.add_edge(virtual_cell, c1)
# cells in the range should point to the range as their parent
target = virtual_cell
origins = []
if len(
list(rng.keys())
) != 0: # could be better, but can't check on Exception types here...
for child in rng.addresses:
if child not in cellmap:
origins.append(cells[child])
else:
origins.append(cellmap[child])
else:
# not a range
if dep_name in names:
reference = names[dep_name]
else:
reference = dep_name
if reference in cells:
if dep_name in names:
virtual_cell = Cell(dep_name,
None,
value=cells[reference].value,
formula=reference,
is_range=False,
is_named_range=True)
G.add_node(virtual_cell)
G.add_edge(cells[reference], virtual_cell)
origins = [virtual_cell]
else:
cell = cells[reference]
origins = [cell]
cell = origins[0]
if cell.formula is not None and ('OFFSET' in cell.formula
or 'INDEX'
in cell.formula):
cell_source.pointers.add(cell.address())
else:
virtual_cell = Cell(dep_name,
None,
value=None,
formula=None,
is_range=False,
is_named_range=True)
origins = [virtual_cell]
target = c1
# process each cell
for c2 in flatten(origins):
# if we havent treated this cell allready
if c2.address() not in cellmap:
if c2.formula:
# cell with a formula, needs to be added to the todo list
todo.append(c2)
steps.append(step + 1)
else:
# constant cell, no need for further processing, just remember to set the code
pystr, ast = cell2code(c2, names)
c2.python_expression = pystr
c2.compile()
# save in the cellmap
cellmap[c2.address()] = c2
# add to the graph
G.add_node(c2)
# add an edge from the cell to the parent (range or cell)
if (target != []):
# print "Adding edge %s --> %s" % (c2.address(), target.address())
G.add_edge(c2, target)
c1.compile(
) # cell compilation is done here because pointer ranges might update python_expressions
return (cellmap, G)
def load(fname):
def clean_bool(string):
if string == "0":
return None
else:
return string
def to_bool(string):
if string == "1" or string == "True":
return True
elif string == "0" or string == "False":
return False
else:
return string
def to_float(string):
if string == "None":
return None
try:
return float(string)
except:
return string
mode = "node0"
nodes = []
edges = []
volatiles = set()
outputs = None
inputs = None
named_ranges = {}
infile = gzip.GzipFile(fname, 'r')
for line in infile.read().splitlines():
if line == "====":
mode = "node0"
continue
if line == "-----":
cellmap_temp = {n.address(): n for n in nodes}
Range = RangeFactory(cellmap_temp)
mode = "node0"
continue
elif line == "edges":
cellmap = {n.address(): n for n in nodes}
mode = "edges"
continue
elif line == "outputs":
mode = "outputs"
continue
elif line == "inputs":
mode = "inputs"
continue
elif line == "named_ranges":
mode = "named_ranges"
continue
if mode == "node0":
[address, formula, python_expression, is_range, is_named_range, is_volatile, should_eval] = line.split(SEP)
formula = clean_bool(formula)
python_expression = clean_bool(python_expression)
is_range = to_bool(is_range)
is_named_range = to_bool(is_named_range)
is_volatile = to_bool(is_volatile)
should_eval = should_eval
mode = "node1"
elif mode == "node1":
if is_range:
reference = json.loads(line) if is_volatile else line # in order to be able to parse dicts
vv = Range(reference)
if is_volatile:
if not is_named_range:
address = vv.name
volatiles.add(address)
cell = Cell(address, None, vv, formula, is_range, is_named_range, should_eval)
cell.python_expression = python_expression
nodes.append(cell)
else:
value = to_bool(to_float(line))
cell = Cell(address, None, value, formula, is_range, is_named_range, should_eval)
cell.python_expression = python_expression
if formula:
if 'OFFSET' in formula or 'INDEX' in formula:
volatiles.add(address)
cell.compile()
nodes.append(cell)
elif mode == "edges":
source, target = line.split(SEP)
edges.append((cellmap[source], cellmap[target]))
elif mode == "outputs":
outputs = line.split(SEP)
elif mode == "inputs":
inputs = line.split(SEP)
elif mode == "named_ranges":
k,v = line.split(SEP)
named_ranges[k] = v
G = DiGraph(data = edges)
print "Graph loading done, %s nodes, %s edges, %s cellmap entries" % (len(G.nodes()),len(G.edges()),len(cellmap))
return (G, cellmap, named_ranges, volatiles, outputs, inputs)
def clean_pointer(self):
print '___### Cleaning Pointers ###___'
new_named_ranges = self.named_ranges.copy()
new_cells = self.cellmap.copy()
### 1) create ranges
for n in self.named_ranges:
reference = self.named_ranges[n]
if is_range(reference):
if 'OFFSET' not in reference:
my_range = self.Range(reference)
self.cellmap[n] = Cell(n,
None,
value=my_range,
formula=reference,
is_range=True,
is_named_range=True)
else:
self.cellmap[n] = Cell(n,
None,
value=None,
formula=reference,
is_range=False,
is_named_range=True)
else:
if reference in self.cellmap:
self.cellmap[n] = Cell(n,
None,
value=self.cellmap[reference].value,
formula=reference,
is_range=False,
is_named_range=True)
else:
self.cellmap[n] = Cell(n,
None,
value=None,
formula=reference,
is_range=False,
is_named_range=True)
### 2) gather all occurence of pointer functions in cells or named_range
all_pointers = set()
for pointer_name in self.pointer_to_remove:
for k, v in self.named_ranges.items():
if pointer_name in v:
all_pointers.add((v, k, None))
for k, cell in self.cellmap.items():
if cell.formula and pointer_name in cell.formula:
all_pointers.add(
(cell.formula, cell.address(), cell.sheet))
# print "%s %s to parse" % (str(len(all_pointers)), pointer_name)
### 3) evaluate all pointers
for formula, address, sheet in all_pointers:
if sheet:
parsed = parse_cell_address(address)
else:
parsed = ""
e = shunting_yard(formula,
self.named_ranges,
ref=parsed,
tokenize_range=True)
ast, root = build_ast(e)
code = root.emit(ast)
cell = {"formula": formula, "address": address, "sheet": sheet}
replacements = self.eval_pointers_from_ast(ast, root, cell)
new_formula = formula
if type(replacements) == list:
for repl in replacements:
if type(repl["value"]) == ExcelError:
if self.debug:
print 'WARNING: Excel error found => replacing with #N/A'
repl["value"] = "#N/A"
if repl["expression_type"] == "value":
new_formula = new_formula.replace(
repl["formula"], str(repl["value"]))
else:
new_formula = new_formula.replace(
repl["formula"], repl["value"])
else:
new_formula = None
if address in new_named_ranges:
new_named_ranges[address] = new_formula
else:
old_cell = self.cellmap[address]
new_cells[address] = Cell(
old_cell.address(),
old_cell.sheet,
value=old_cell.value,
formula=new_formula,
is_range=old_cell.is_range,
is_named_range=old_cell.is_named_range,
should_eval=old_cell.should_eval)
return new_cells, new_named_ranges
def prune_graph(self):
print '___### Pruning Graph ###___'
G = self.G
# get all the cells impacted by inputs
dependencies = set()
for input_address in self.inputs:
child = self.cellmap[input_address]
if child == None:
print "Not found ", input_address
continue
g = make_subgraph(G, child, "descending")
dependencies = dependencies.union(g.nodes())
# print "%s cells depending on inputs" % str(len(dependencies))
# prune the graph and set all cell independent of input to const
subgraph = networkx.DiGraph()
new_cellmap = {}
for output_address in self.outputs:
new_cellmap[output_address] = self.cellmap[output_address]
seed = self.cellmap[output_address]
todo = map(lambda n: (seed, n), G.predecessors(seed))
done = set(todo)
while len(todo) > 0:
current, pred = todo.pop()
# print "==========================="
# print current.address(), pred.address()
if current in dependencies:
if pred in dependencies or isinstance(
pred.value, RangeCore) or pred.is_named_range:
subgraph.add_edge(pred, current)
new_cellmap[pred.address()] = pred
new_cellmap[current.address()] = current
nexts = G.predecessors(pred)
for n in nexts:
if (pred, n) not in done:
todo += [(pred, n)]
done.add((pred, n))
else:
if pred.address() not in new_cellmap:
const_node = Cell(
pred.address(),
pred.sheet,
value=pred.range
if pred.is_range else pred.value,
formula=None,
is_range=isinstance(pred.range, RangeCore),
is_named_range=pred.is_named_range,
should_eval=pred.should_eval)
# pystr,ast = cell2code(self.named_ranges, const_node, pred.sheet)
# const_node.python_expression = pystr
# const_node.compile()
new_cellmap[pred.address()] = const_node
const_node = new_cellmap[pred.address()]
subgraph.add_edge(const_node, current)
else:
# case of range independant of input, we add all children as const
if pred.address() not in new_cellmap:
const_node = Cell(
pred.address(),
pred.sheet,
value=pred.range if pred.is_range else pred.value,
formula=None,
is_range=pred.is_range,
is_named_range=pred.is_named_range,
should_eval=pred.should_eval)
# pystr,ast = cell2code(self.named_ranges, const_node, pred.sheet)
# const_node.python_expression = pystr
# const_node.compile()
new_cellmap[pred.address()] = const_node
const_node = new_cellmap[pred.address()]
subgraph.add_edge(const_node, current)
print "Graph pruning done, %s nodes, %s edges, %s cellmap entries" % (
len(subgraph.nodes()), len(subgraph.edges()), len(new_cellmap))
undirected = networkx.Graph(subgraph)
# print "Number of connected components %s", str(number_connected_components(undirected))
# print map(lambda x: x.address(), subgraph.nodes())
# add back inputs that have been pruned because they are outside of calculation chain
for i in self.inputs:
if i not in new_cellmap:
if i in self.named_ranges:
reference = self.named_ranges[i]
if is_range(reference):
rng = self.Range(reference)
virtual_cell = Cell(i,
None,
value=rng,
formula=reference,
is_range=True,
is_named_range=True)
new_cellmap[i] = virtual_cell
subgraph.add_node(
virtual_cell
) # edges are not needed here since the input here is not in the calculation chain
else:
# might need to be changed to actual self.cells Cell, not a copy
virtual_cell = Cell(
i,
None,
value=self.cellmap[reference].value,
formula=reference,
is_range=False,
is_named_range=True)
new_cellmap[i] = virtual_cell
subgraph.add_node(
virtual_cell
) # edges are not needed here since the input here is not in the calculation chain
else:
if is_range(i):
rng = self.Range(i)
virtual_cell = Cell(i,
None,
value=rng,
formula=o,
is_range=True,
is_named_range=True)
new_cellmap[i] = virtual_cell
subgraph.add_node(
virtual_cell
) # edges are not needed here since the input here is not in the calculation chain
else:
new_cellmap[i] = self.cellmap[i]
subgraph.add_node(
self.cellmap[i]
) # edges are not needed here since the input here is not in the calculation chain
return Spreadsheet(subgraph,
new_cellmap,
self.named_ranges,
self.pointers,
self.outputs,
self.inputs,
debug=self.debug)
def test_Modify_graph(self):
self.sp.add_cell(Cell('Sheet1!A4', formula='A1 + 10'))
self.sp.set_value('Sheet1!A1', 3)
self.assertEqual(self.sp.evaluate('Sheet1!A4'), 13)
def read_cells(archive, ignore_sheets=[], ignore_hidden=False):
global debug
print('___### Reading Cells from XLSX ###___')
cells = {}
functions = set()
cts = dict(read_content_types(archive))
strings_path = cts.get(
SHARED_STRINGS
) # source: https://bitbucket.org/openpyxl/openpyxl/src/93604327bce7aac5e8270674579af76d390e09c0/openpyxl/reader/excel.py?at=default&fileviewer=file-view-default
if strings_path is not None:
if strings_path.startswith("/"):
strings_path = strings_path[1:]
shared_strings = read_string_table(archive.read(strings_path))
else:
shared_strings = []
for sheet in detect_worksheets(archive):
sheet_name = sheet['title']
function_map = {}
if sheet_name in ignore_sheets: continue
root = fromstring(
archive.read(sheet['path'])
) # it is necessary to use cElementTree from xml module, otherwise root.findall doesn't work as it should
hidden_cols = False
nb_hidden = 0
if ignore_hidden:
hidden_col_min = None
hidden_col_max = None
for col in root.findall('.//{%s}cols/*' % SHEET_MAIN_NS):
if 'hidden' in col.attrib and col.attrib['hidden'] == '1':
hidden_cols = True
hidden_col_min = int(col.attrib['min'])
hidden_col_max = int(col.attrib['max'])
for c in root.findall('.//{%s}c/*/..' % SHEET_MAIN_NS):
cell_data_type = c.get('t',
'n') # if no type assigned, assign 'number'
cell_address = c.attrib['r']
skip = False
if hidden_cols:
found = re.search(CELL_REF_RE, cell_address)
col = col2num(found.group(1))
if col >= hidden_col_min and col <= hidden_col_max:
nb_hidden += 1
skip = True
if not skip:
cell = {
'a': '%s!%s' % (sheet_name, cell_address),
'f': None,
'v': None
}
if debug: print('Cell', cell['a'])
for child in c:
child_data_type = child.get(
't', 'n') # if no type assigned, assign 'number'
if child.tag == '{%s}f' % SHEET_MAIN_NS:
if 'ref' in child.attrib: # the first cell of a shared formula has a 'ref' attribute
if debug:
print(
'*** Found definition of shared formula ***',
child.text, child.attrib['ref'])
if "si" in child.attrib:
function_map[child.attrib['si']] = (
child.attrib['ref'],
Translator(str('=' + child.text),
cell_address)
) # translator of openpyxl needs a unicode argument that starts with '='
# else:
# print "Encountered cell with ref but not si: ", sheet_name, child.attrib['ref']
if child_data_type == 'shared':
if debug:
print(
'*** Found child %s of shared formula %s ***'
% (cell_address, child.attrib['si']))
ref = function_map[child.attrib['si']][0]
formula = function_map[child.attrib['si']][1]
translated = formula.translate_formula(
cell_address)
cell['f'] = translated[
1:] # we need to get rid of the '='
else:
cell['f'] = child.text
elif child.tag == '{%s}v' % SHEET_MAIN_NS:
if cell_data_type == 's' or cell_data_type == 'str': # value is a string
try: # if it fails, it means that cell content is a string calculated from a formula
cell['v'] = shared_strings[int(child.text)]
except:
cell['v'] = child.text
elif cell_data_type == 'b':
cell['v'] = bool(int(child.text))
elif cell_data_type == 'n':
cell['v'] = _cast_number(child.text)
elif child.text is None:
continue
if cell['f'] is not None:
pattern = re.compile(r"([A-Z][A-Z0-9]*)\(")
found = re.findall(pattern, cell['f'])
map(lambda x: functions.add(x), found)
if cell['f'] is not None or cell['v'] is not None:
should_eval = 'always' if cell[
'f'] is not None and 'OFFSET' in cell['f'] else 'normal'
# cleaned_formula = cell['f']
cleaned_formula = cell['f'].replace(
", ", ",") if cell['f'] is not None else None
if "!" in cell_address:
cells[cell_address] = Cell(cell_address,
sheet_name,
value=cell['v'],
formula=cleaned_formula,
should_eval=should_eval)
else:
cells[sheet_name + "!" + cell_address] = Cell(
cell_address,
sheet_name,
value=cell['v'],
formula=cleaned_formula,
should_eval=should_eval)
if nb_hidden > 0:
print('Ignored %i hidden cells in sheet %s' %
(nb_hidden, sheet_name))
print('Nb of different functions %i' % len(functions))
print(functions)
for f in functions:
if f not in existing:
print('== Missing function: %s' % f)
return cells
def load(fname):
def clean_bool(string):
if string == "0":
return None
else:
return string
def to_bool(string):
if string == "1" or string == "True":
return True
elif string == "0" or string == "False":
return False
else:
return string
def to_float(string):
if string == "None":
return None
try:
return float(string)
except:
return string
mode = "node0"
nodes = []
edges = []
pointers = set()
outputs = None
inputs = None
named_ranges = {}
infile = gzip.GzipFile(fname, 'r')
for line in infile.read().splitlines():
if line == "====":
mode = "node0"
continue
if line == "-----":
cellmap_temp = {n.address(): n for n in nodes}
Range = RangeFactory(cellmap_temp)
mode = "node0"
continue
elif line == "edges":
cellmap = {n.address(): n for n in nodes}
mode = "edges"
continue
elif line == "outputs":
mode = "outputs"
continue
elif line == "inputs":
mode = "inputs"
continue
elif line == "named_ranges":
mode = "named_ranges"
continue
if mode == "node0":
[
address, formula, python_expression, is_range, is_named_range,
is_pointer, should_eval
] = line.split(SEP)
formula = clean_bool(formula)
python_expression = clean_bool(python_expression)
is_range = to_bool(is_range)
is_named_range = to_bool(is_named_range)
is_pointer = to_bool(is_pointer)
should_eval = should_eval
mode = "node1"
elif mode == "node1":
if is_range:
reference = json.loads(
line
) if is_pointer else line # in order to be able to parse dicts
vv = Range(reference)
if is_pointer:
if not is_named_range:
address = vv.name
pointers.add(address)
cell = Cell(address, None, vv, formula, is_range,
is_named_range, should_eval)
cell.python_expression = python_expression
nodes.append(cell)
else:
value = to_bool(to_float(line))
cell = Cell(address, None, value, formula, is_range,
is_named_range, should_eval)
cell.python_expression = python_expression
if formula:
if 'OFFSET' in formula or 'INDEX' in formula:
pointers.add(address)
cell.compile()
nodes.append(cell)
elif mode == "edges":
source, target = line.split(SEP)
edges.append((cellmap[source], cellmap[target]))
elif mode == "outputs":
outputs = line.split(SEP)
elif mode == "inputs":
inputs = line.split(SEP)
elif mode == "named_ranges":
k, v = line.split(SEP)
named_ranges[k] = v
G = DiGraph(data=edges)
print "Graph loading done, %s nodes, %s edges, %s cellmap entries" % (len(
G.nodes()), len(G.edges()), len(cellmap))
return (G, cellmap, named_ranges, pointers, outputs, inputs)
def gen_graph(self, outputs=[], inputs=[]):
"""
Generate the contents of the Spreadsheet from the read cells in the binary files.
Specifically this function generates the graph.
:param outputs: can be used to specify the outputs. All not affected cells are removed from the graph.
:param inputs: can be used to specify the inputs. All not affected cells are removed from the graph.
"""
# print('___### Generating Graph ###___')
if len(outputs) == 0:
preseeds = set(
list(flatten(self.cellmap.keys())) +
list(self.named_ranges.keys())) # to have unicity
else:
preseeds = set(outputs)
preseeds = list(preseeds) # to be able to modify the list
seeds = []
for o in preseeds:
if o in self.named_ranges:
reference = self.named_ranges[o]
if is_range(reference):
if 'OFFSET' in reference or 'INDEX' in reference:
start_end = prepare_pointer(reference,
self.named_ranges)
rng = self.range(start_end)
self.pointers.add(o)
else:
rng = self.range(reference)
for address in rng.addresses: # this is avoid pruning deletion
preseeds.append(address)
virtual_cell = Cell(o,
None,
value=rng,
formula=reference,
is_range=True,
is_named_range=True)
seeds.append(virtual_cell)
else:
# might need to be changed to actual self.cells Cell, not a copy
if 'OFFSET' in reference or 'INDEX' in reference:
self.pointers.add(o)
value = self.cellmap[
reference].value if reference in self.cellmap else None
virtual_cell = Cell(o,
None,
value=value,
formula=reference,
is_range=False,
is_named_range=True)
seeds.append(virtual_cell)
else:
if is_range(o):
rng = self.range(o)
for address in rng.addresses: # this is avoid pruning deletion
preseeds.append(address)
virtual_cell = Cell(o,
None,
value=rng,
formula=o,
is_range=True,
is_named_range=True)
seeds.append(virtual_cell)
else:
seeds.append(self.cellmap[o])
seeds = set(seeds)
# print("Seeds %s cells" % len(seeds))
outputs = set(preseeds) if len(outputs) > 0 else [
] # seeds and outputs are the same when you don't specify outputs
cellmap, G = graph_from_seeds(seeds, self)
if len(
inputs
) != 0: # otherwise, we'll set inputs to cellmap inside Spreadsheet
inputs = list(set(inputs))
# add inputs that are outside of calculation chain
for i in inputs:
if i not in cellmap:
if i in self.named_ranges:
reference = self.named_ranges[i]
if is_range(reference):
rng = self.range(reference)
for address in rng.addresses: # this is avoid pruning deletion
inputs.append(address)
virtual_cell = Cell(i,
None,
value=rng,
formula=reference,
is_range=True,
is_named_range=True)
cellmap[i] = virtual_cell
G.add_node(
virtual_cell
) # edges are not needed here since the input here is not in the calculation chain
else:
# might need to be changed to actual self.cells Cell, not a copy
virtual_cell = Cell(
i,
None,
value=self.cellmap[reference].value,
formula=reference,
is_range=False,
is_named_range=True)
cellmap[i] = virtual_cell
G.add_node(
virtual_cell
) # edges are not needed here since the input here is not in the calculation chain
else:
if is_range(i):
rng = self.range(i)
for address in rng.addresses: # this is avoid pruning deletion
inputs.append(address)
virtual_cell = Cell(i,
None,
value=rng,
formula=o,
is_range=True,
is_named_range=True)
cellmap[i] = virtual_cell
G.add_node(
virtual_cell
) # edges are not needed here since the input here is not in the calculation chain
else:
cellmap[i] = self.cellmap[i]
G.add_node(
self.cellmap[i]
) # edges are not needed here since the input here is not in the calculation chain
inputs = set(inputs)
# print("Graph construction done, %s nodes, %s edges, %s cellmap entries" % (len(G.nodes()),len(G.edges()),len(cellmap)))
# undirected = networkx.Graph(G)
# print "Number of connected components %s", str(number_connected_components(undirected))
return Spreadsheet(G,
cellmap,
self.named_ranges,
pointers=self.pointers,
outputs=outputs,
inputs=inputs,
debug=self.debug,
excel_compiler=False)
def cell_from_dict(d):
return Cell.from_dict(d, cellmap=cellmap)
