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|
#!/usr/bin/env python3
from ..utils import soft_cast_int_or_float, soft_cast_float
import os
import re
import logging
logger = logging.getLogger(__name__)
class CSVfile:
def __init__(self):
self.ignore_names = os.environ.get("DFATOOL_CSV_IGNORE", "").split(",")
self.observation_names = os.environ.get("DFATOOL_CSV_OBSERVATIONS", "").split(
","
)
pass
def load(self, f):
self.column_type = dict()
observations = list()
param_names = list()
attr_names = list()
for lineno, line in enumerate(f):
line = line.removesuffix("\n")
if lineno == 0:
for i, col_name in enumerate(line.split(",")):
if col_name in self.ignore_names:
self.column_type[i] = 0
elif col_name in self.observation_names:
self.column_type[i] = 2
attr_names.append(col_name)
else:
self.column_type[i] = 1
param_names.append(col_name)
else:
param_values = list(
map(
soft_cast_int_or_float,
map(
lambda iv: iv[1],
filter(
lambda iv: self.column_type[iv[0]] == 1,
enumerate(line.split(",")),
),
),
)
)
attr_values = list(
map(
soft_cast_float,
map(
lambda iv: iv[1],
filter(
lambda iv: self.column_type[iv[0]] == 2,
enumerate(line.split(",")),
),
),
)
)
observations.append(
{
"name": "CSVFile",
"param": dict(zip(param_names, param_values)),
"attribute": dict(zip(attr_names, attr_values)),
}
)
return observations
class Logfile:
def __init__(self):
pass
def kv_to_param(self, kv_str, cast):
try:
key, value = kv_str.split("=")
value = cast(value)
return key, value
except ValueError:
logger.warning(f"Invalid key-value pair: {kv_str}")
raise
def kv_to_param_f(self, kv_str):
return self.kv_to_param(kv_str, soft_cast_float)
def kv_to_param_i(self, kv_str):
return self.kv_to_param(kv_str, soft_cast_int_or_float)
def load(self, f):
observations = list()
for lineno, line in enumerate(f):
m = re.search(r"\[::\] *([^|]*?) *[|] *([^|]*?) *[|] *(.*)", line)
if m:
name_str = m.group(1)
param_str = m.group(2)
attr_str = m.group(3)
try:
param = dict(map(self.kv_to_param_i, param_str.split()))
attr = dict(map(self.kv_to_param_f, attr_str.split()))
observations.append(
{
"name": name_str,
"param": param,
"attribute": attr,
}
)
except ValueError:
logger.warning(
f"Error parsing {f}: invalid key-value pair in line {lineno+1}"
)
logger.warning(f"Offending entry:\n{line}")
raise
return observations
def dump(self, observations, f):
for observation in observations:
name = observation["name"]
param = observation["param"]
attr = observation["attribute"]
param_str = " ".join(
map(
lambda kv: f"{kv[0]}={kv[1]}",
sorted(param.items(), key=lambda kv: kv[0]),
)
)
attr_str = " ".join(
map(
lambda kv: f"{kv[0]}={kv[1]}",
sorted(attr.items(), key=lambda kv: kv[0]),
)
)
print(f"[::] {name} | {param_str} | {attr_str}", file=f)
|
