Files
NexQuant/rdagent/log/storage.py
T
you-n-g 4f484e009a Workflow Support Loading and saving sessions (#98)
* Successfully logging the trace

* Start debugging & Add policy file

* Support loading sessions

* Add docs

* Add tqdm
2024-07-23 16:37:41 +08:00

143 lines
4.9 KiB
Python

import re
import json
import pickle
from datetime import datetime, timezone
from pathlib import Path
from typing import Literal, Generator
from .base import Message, Storage
class FileStorage(Storage):
"""
The info are logginged to the file systems
TODO: describe the storage format
"""
def __init__(self, path: str = "./log/") -> None:
self.path = Path(path)
self.path.mkdir(parents=True, exist_ok=True)
def log(
self,
obj: object,
name: str = "",
save_type: Literal["json", "text", "pkl"] = "text",
timestamp: datetime | None = None,
) -> Path:
# TODO: We can remove the timestamp after we implement PipeLog
if timestamp is None:
timestamp = datetime.now(timezone.utc)
else:
timestamp = timestamp.astimezone(timezone.utc)
cur_p = self.path / name.replace(".", "/")
cur_p.mkdir(parents=True, exist_ok=True)
path = cur_p / f"{timestamp.strftime('%Y-%m-%d_%H-%M-%S-%f')}.log"
if save_type == "json":
path = path.with_suffix(".json")
with path.open("w") as f:
try:
json.dump(obj, f)
except TypeError:
json.dump(json.loads(str(obj)), f)
return path
elif save_type == "pkl":
path = path.with_suffix(".pkl")
with path.open("wb") as f:
pickle.dump(obj, f)
return path
elif save_type == "text":
obj = str(obj)
with path.open("w") as f:
f.write(obj)
return path
log_pattern = re.compile(
r"(?P<timestamp>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}\.\d{3}) \| "
r"(?P<level>DEBUG|INFO|WARNING|ERROR|CRITICAL) *\| "
r"(?P<caller>.+:.+:\d+) - "
)
def iter_msg(self, watch: bool = False) -> Generator[Message, None, None]:
msg_l = []
for file in self.path.glob("**/*.log"):
tag = '.'.join(str(file.relative_to(self.path)).replace("/", ".").split(".")[:-3])
pid = file.parent.name
with file.open("r") as f:
content = f.read()
matches, next_matches = self.log_pattern.finditer(content), self.log_pattern.finditer(content)
next_match = next(next_matches, None)
# NOTE: the content will be the text between `match` and `next_match`
for match in matches:
next_match = next(next_matches, None)
timestamp_str = match.group("timestamp")
timestamp = datetime.strptime(timestamp_str, "%Y-%m-%d %H:%M:%S.%f").replace(tzinfo=timezone.utc)
level = match.group("level")
caller = match.group("caller")
# Extract the message content
message_start = match.end()
message_end = next_match.start() if next_match else len(content)
message_content = content[message_start:message_end].strip()
m = Message(
tag=tag,
level=level,
timestamp=timestamp,
caller=caller,
pid_trace=pid,
content=message_content
)
if "Logging object in" in m.content:
absolute_p = m.content.split("Logging object in ")[1]
relative_p = "." + absolute_p.split(self.path.name)[1]
pkl_path = self.path / relative_p
with pkl_path.open("rb") as f:
m.content = pickle.load(f)
msg_l.append(m)
msg_l.sort(key=lambda x: x.timestamp)
for m in msg_l:
yield m
def truncate(self, time: datetime) -> None:
# any message later than `time` will be removed
for file in self.path.glob("**/*.log"):
with file.open("r") as f:
content = f.read()
new_content = ""
matches, next_matches = self.log_pattern.finditer(content), self.log_pattern.finditer(content)
next_match = next(next_matches, None)
for match in matches:
next_match = next(next_matches, None)
timestamp_str = match.group("timestamp")
timestamp = datetime.strptime(timestamp_str, "%Y-%m-%d %H:%M:%S.%f").replace(tzinfo=timezone.utc)
log_start = match.start()
log_end = next_match.start() if next_match else len(content)
msg = content[match.end():log_end].strip()
if timestamp > time:
if "Logging object in" in msg:
absolute_p = msg.split("Logging object in ")[1]
p = Path(absolute_p)
p.unlink()
continue
new_content += content[log_start:log_end]
with file.open("w") as f:
f.write(new_content)