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export_logs.py
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export_logs.py
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import os
import json
import pm4py
import dotenv
import pandas
import shutil
import datetime
import argparse
dotenv.load_dotenv()
SERVICES = {"billing", "inventory", "message", "order", "purchase"}
LOG_DIR = os.getenv("LOG_DIR")
RESULT_DIR = os.getenv("RESULT_DIR")
assert LOG_DIR, "specify log directory by setting LOG_DIR environment variable"
assert RESULT_DIR, "specify result directory by setting RESULT_DIR environment variable"
def main(services):
compound_name = None
if services is None:
services = SERVICES
compound_name = "all"
services = sorted(set(services))
if compound_name is None:
compound_name = "_".join(services)
frames = []
for service in services:
log_path = os.path.join(LOG_DIR, "process", service, "annotations.log.csv")
if os.path.exists(log_path):
df = pandas.read_csv(
log_path,
index_col=None,
names=[
"CORRELATION_ID",
"MESSAGE",
"TIMESTAMP",
"SERVICE",
"ENDPOINT",
"ACTIVITY",
"CODE",
], # type:ignore
)
frames.append(df)
log = pandas.concat(frames, ignore_index=True)
log["TIMESTAMP"] = pandas.to_datetime(log["TIMESTAMP"]) # type:ignore
log.sort_values(["CORRELATION_ID", "TIMESTAMP"], inplace=True)
log.reset_index(inplace=True, drop=True)
now = datetime.datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
dir = os.path.join(RESULT_DIR, f"{compound_name}_{now}")
doc_dir = os.path.join(dir, "documents")
os.makedirs(doc_dir, exist_ok=True)
vocab = dict()
size = 0
for _, row in log.iterrows():
service = row["SERVICE"]
filename = row["MESSAGE"]
source = os.path.join(LOG_DIR, "process", service, "messages", filename)
try:
content = json.load(open(source, "r"))
except:
print(source)
raise Exception
content_parsed = dict_to_dotlist(content)
content_combined = " ".join(content_parsed)
destination = os.path.join(doc_dir, filename)
with open(destination, "w") as file:
file.write(content_combined)
for term in content_combined.split(" "):
if term in vocab:
vocab[term] += 1
else:
vocab[term] = 1
if len(content_combined.split(" ")) > size:
size = len(content_combined.split(" "))
location = os.path.join(dir, "annotations.csv")
with open(f"{dir}/vocab.txt", "a") as f:
for term, freq in vocab.items():
f.write(f"{term} {freq}\n")
with open(f"{dir}/size.txt", "a") as f:
f.write(f"{size}")
log.to_csv(location, index=False)
log_df_f = pm4py.format_dataframe(
log,
case_id="CORRELATION_ID",
activity_key="ACTIVITY",
timestamp_key="TIMESTAMP",
)
event_log = pm4py.convert_to_event_log(log_df_f)
pm4py.write_xes(event_log, os.path.join(dir, "event_log.xes"))
anomalies_path = os.path.join(LOG_DIR, "anomalies.csv")
if os.path.exists(anomalies_path):
anomalies: pandas.DataFrame = pandas.read_csv(
anomalies_path,
header=None, # type: ignore
names=[ # type: ignore
"CORRELATION_ID",
"TIMESTAMP",
"SERVICE",
"ENDPOINT",
"ACTIVITY",
"CODE",
],
)
anomalies.to_csv(os.path.join(dir, "anomalies.csv"), index=False)
def dict_to_dotlist(data, prefix=""):
result = []
if isinstance(data, list):
for i, value in enumerate(data):
next_prefix = f"{prefix}.{str(i)}"
result.extend(dict_to_dotlist(value, prefix=next_prefix))
elif isinstance(data, dict):
for key, value in data.items():
next_prefix = f"{prefix}.{key}" if prefix != "" else key
result.extend(dict_to_dotlist(value, prefix=next_prefix))
else:
item = f"{prefix} {str(data)}"
result.append(item)
return result
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="""Merge logs of individual services to a compound log."""
)
parser.add_argument(
"-s",
"--services",
nargs="*",
default=None,
help="services to include in the compound (default: all services are included)",
)
args = parser.parse_args()
main(**vars(args))