def mini_calc(branch, info):
# Mini calcualtions
a_loc, opr, b_loc, dp = branch
opr = opr.replace(" ", "")
raw_a = dive_for_dot_values(a_loc,
info,
DEBUG=SUPER_DEBUG,
as_val=1)
if isinstance(b_loc, float) or isinstance(b_loc, int):
raw_b = b_loc
else:
raw_b = dive_for_dot_values(b_loc,
info,
DEBUG=SUPER_DEBUG,
as_val=1)
bv = float(raw_b)
av = float(raw_a)
if opr == "-":
final = av - bv
elif opr == "+":
final = av + bv
else:
print("<SECONDARY SLOT GETV> unknown opr {}".format(opr))
final = av
final = cbround(final, dp) # Round to specified dp
if SUPER_DEBUG: print("<SS MINI CALC>", av, opr, bv, "=", final)
return final
def _check_condition(an):
csk = cstate["key"]
curr_info = cinfo
t_slots = an["trigger_slots"]
t_states = an["trigger_states"]
trigger_states = t_states
correct_state = "_ANY" in trigger_states or csk in trigger_states
if correct_state:
slots_satisfied = False
for ts in t_slots:
slot_is_AND = (ts.get("eval","AND") == "AND") # Default is AND
sn = ts.get("slotname","")
ex_val = ts["value"]
info_vd = cu.dive_for_dot_values(sn, curr_info)
if len(info_vd) == 0:
if SUPER_DEBUG: print("<ANNOUNCE> Slot",sn,"not found in info")
info_val = info_vd.get(sn,"")
if info_val == ex_val:
slots_satisfied = True
elif slot_is_AND:
# ALL slot values must be satisfied
return False # One fail all fail
return slots_satisfied
return False
def tree_search(tree, t_info):
any_val_key = "_ANY"
for slotname, sub_dict in list(tree.items()):
curr_d = t_info
# If finds something, returns. If not, breaks.
while True:
dive_dir = dive_for_dot_values(slotname,
curr_d) # As dict
if dive_dir == {}:
# IF not found
# if SUPER_DEBUG: print("<SS TREE> ERROR {} not found".format(str(slotname)))
slot_val = ""
break
loc, slot_val = list(dive_dir.items())[0]
slot_val = str(
slot_val
) # To convert ints to strings. I.e. for hours
# if SUPER_DEBUG: print("<SS TREE> Current slot:", loc, "| val:", slot_val)
# Check if key is in the subdict
if slot_val in sub_dict:
ss_branch = sub_dict[slot_val]
if isinstance(ss_branch, dict):
# Is a subtree
# if SUPER_DEBUG: print("<SS TREE> Found a subtree",ss_branch, "in",sub_dict)
slotname, sub_dict = list(ss_branch.items())[0]
continue
else:
# Is a leaf
out = get_value(ss_branch, t_info)
# Cut from info
pp = cu.dotpop(loc, curr_d)
# if SUPER_DEBUG: print("<SS TREE> pop leaf",pp)
return (True, out)
else:
# Fallback and look for _ANY match
a_branch = sub_dict.get(any_val_key, -1)
if not a_branch:
# Search failed
# if SUPER_DEBUG: print("<SS TREE> Val:", slot_val, "not found in:", sub_dict)
break
if isinstance(a_branch, dict):
# Is a _ANY branch
slotname, sub_dict = list(a_branch.items())[0]
continue
else:
# Is a _ANY leaf
out = get_value(a_branch, t_info)
# Cut from info
pp = cu.dotpop(loc, curr_d)
# if SUPER_DEBUG: print("<SS TREE> pop _ANY leaf",pp)
return (True, out)
# if SUPER_DEBUG: print("<SECONDARY SLOT> TREE SEARCH FAILED",tree)
return (False, "")
def tree_search(tree, t_info):
for slotname, sub_dict in list(tree.items()):
dive_dict = cu.dive_for_dot_values(slotname, t_info) # As dict
if dive_dict == {}:
# IF not found
if SUPER_DEBUG: print("<TREE> ERROR {} not found".format(str(slotname)))
slot_val = ""
break
loc, slot_val = list(dive_dict.items())[0]
slot_val = str(slot_val) # Convert to strings because json keys are strings. I.e. for hours
if SUPER_DEBUG: print("<TREE> Current slot:", loc, "| val:", slot_val)
# Check if curr_info detail's value is in the subdict
if slot_val in sub_dict:
matched_branch = sub_dict[slot_val]
if isinstance(matched_branch, dict):
# Is a subtree
sub_tree = matched_branch
if SUPER_DEBUG: print("<TREE> Subtree found. Searching:",str(sub_dict))
found, returned = tree_search(sub_tree,t_info)
if found:
return (found, returned)
continue
else:
# Is a leaf
out = get_leaf_value(matched_branch, t_info)
pp = cu.dotpop(loc, t_info) # Cut from info
if SUPER_DEBUG: print("<TREE> pop leaf",pp)
return (True, out)
else:
# Fallback and look for _ANY match
a_branch = sub_dict.get(any_val_key,-1)
if not a_branch:
# Search failed
if SUPER_DEBUG: print("<TREE> Val:", slot_val, "not found in:", sub_dict)
break
if isinstance(a_branch, dict):
# Is a _ANY branch
slotname, sub_tree = list(a_branch.items())[0]
found, returned = tree_search(sub_tree,t_info)
if found:
return (found, returned)
continue
else:
# Is a _ANY leaf
out = get_leaf_value(a_branch, t_info)
# Cut from info
pp = cu.dotpop(loc, t_info)
if SUPER_DEBUG: print("<TREE> pop _ANY leaf",pp)
return (True, out)
return (False, "")
def get_leaf_value(branch, info):
if isinstance(branch,list):
final = cu.dive_for_dot_values(branch, info, DEBUG=SUPER_DEBUG, as_val = 1)
if final == {}:
if DEBUG: print("<SECONDARY SLOT GETV> {} not found in info".format(branch))
final = ""
return final
# If not, is a raw value
return branch
def get_variables(f, enh):
def add_formula_conditional_vars(f,vd):
ret = {}
# This assumes all conditions are joined by AND
conds = f.get("conditions",[])
for cond in conds:
k, v, setval = cond
vkey, tval, fval = setval
if not k in vd:
print("<COND VALS> WARNING {} not in info".format(k))
met = False
else:
if isinstance(v, list):
for val in v:
met = (vd[k] == val)
if met: break
else:
met = (vd[k] == v) # Simple match
ret[vkey] = tval if met else fval
vd.update(ret)
return
# Fetch mandatory values
reqvar_key = "req_vars"
opvar_key = "optional_vars"
req_vars = f.get(reqvar_key,[])
vd = cu.dive_for_dot_values(req_vars,enh)
# Fetch optional values
op_vars = f.get(opvar_key, []) # If not found, value = 0
op_vars_d = cu.dive_for_dot_values(op_vars, enh,failzero=True)
vd.update(op_vars_d)
# Fetch conditional values
add_formula_conditional_vars(f,vd)
if self.SUPER_DEBUG: print("<RESOLVE FORMULA> Value Dict",vd)
return vd
def get_value(branch, info):
if isinstance(branch, list):
minicalc_bool = len(branch) > 1
if minicalc_bool:
final = mini_calc(branch, info)
else:
final = dive_for_dot_values(branch,
info,
DEBUG=SUPER_DEBUG,
as_val=1)
if final == {}:
if DEBUG:
print("<SECONDARY SLOT GETV> {} not found in info".
format(branch))
final = ""
return final
# If not, is a raw value
return branch