rename to bakalog

.github/workflows/python-package.yml

@@ -37,4 +37,4 @@ jobs:
     - name: Test Installation
       run: |
         pip install -e '.'
-        python -m log2row --help
+        python -m bakalog --help

README.md

@@ -1,4 +1,4 @@
-# Log2Row
+# BakaLog
 A command-line tool that detects, extracts log templates, and structures logs to in-process database, leveraging template patterns generated by GPT-4.
 
 ## What it does?
@@ -33,10 +33,10 @@ If you have several kinds of logs are mixed together (samples from [loghub](http
 [Sun Dec 04 04:52:15 2005] [error] mod_jk child workerEnv in error state 6
 ```
 
-Log2Row could detect and extract several log templates, it would take a while, all extracted log would be stored into an embedded in-memory DB [DuckDB](http://duckdb.org/docs/archive/0.9.0/), and opens an IPython REPL:
+BakaLog could detect and extract several log templates, it would take a while, all extracted log would be stored into an embedded in-memory DB [DuckDB](http://duckdb.org/docs/archive/0.9.0/), and opens an IPython REPL:
 
 ```ipython
-  ↳ OPENAI_API_KEY="***" python -m log2row run "loghub/Apache/*.log" --gpt-base https://api.openai.com/v1 --max-lines 0 --buf-size 1MB --threshold 0.9
+  ↳ OPENAI_API_KEY="***" python -m bakalog run "loghub/Apache/*.log" --gpt-base https://api.openai.com/v1 --max-lines 0 --buf-size 1MB --threshold 0.9
 Python 3.11.5 (main, Aug 24 2023, 15:09:45) [Clang 14.0.3 (clang-1403.0.22.14.1)]
 Type 'copyright', 'credits' or 'license' for more information
 IPython 8.16.0 -- An enhanced Interactive Python. Type '?' for help.
@@ -172,29 +172,29 @@ DuckDB also supports saving results to various output types such as CSV, JSON, a
 + + >  pattern flow
 ```
 
-Log2Row processes all logs through a list of regex patterns. If a log matches a pattern successfully, it's grouped and variables are inserted into DuckDB. If a log doesn't match any patterns, it's buffered. These buffered logs are used to detect log communities via a text embedding model. Samples from each community are then sent to GPT-4 to extract their regex patterns.
+BakaLog processes all logs through a list of regex patterns. If a log matches a pattern successfully, it's grouped and variables are inserted into DuckDB. If a log doesn't match any patterns, it's buffered. These buffered logs are used to detect log communities via a text embedding model. Samples from each community are then sent to GPT-4 to extract their regex patterns.
 
-The pattern flow isn't part of the main processing, which means that after an initial bootstrap, the processing speed increases significantly. Thus, the longer Log2Row runs, the higher the logs/sec rate it has.
+The pattern flow isn't part of the main processing, which means that after an initial bootstrap, the processing speed increases significantly. Thus, the longer BakaLog runs, the higher the logs/sec rate it has.
 
 ## How to install it?
 ```
-  ↳pip install git@https://github.com/ethe/log2row.git
+  ↳pip install git@https://github.com/ethe/bakalog.git
 
-  ↳ python3 -m log2row
-Usage: python -m log2row [OPTIONS] COMMAND [ARGS]...
+  ↳ python3 -m bakalog
+Usage: python -m bakalog [OPTIONS] COMMAND [ARGS]...
 
 Options:
   --help  Show this message and exit.
 
 Commands:
-  clean  log2row cache all extracted patterns to each files as default,...
+  clean  bakalog cache all extracted patterns to each files as default,...
   run
 ```
 
 *Logs2Array requires Python3.9+*
 
 ## How much does it cost?
-Log2Row uses GPT-4 to extract the regex of log community, each extraction would costs hundreds to thousands tokens of GPT-4. This means each log community detection would costs 0.01$ to 0.1$.
+BakaLog uses GPT-4 to extract the regex of log community, each extraction would costs hundreds to thousands tokens of GPT-4. This means each log community detection would costs 0.01$ to 0.1$.
 
 ## What is next?
 - [ ] auto-detect multiple parts of log templates
@@ -211,4 +211,4 @@ Log2Row uses GPT-4 to extract the regex of log community, each extraction would
 - [ ] GPT-3.5 compatible
 
 ## More information
-Currently, log2row is still in early stage. If you are interested in it, let's discuss it on [Hacker News](https://news.ycombinator.com/item?id=37789903)
+Currently, bakalog is still in early stage. If you are interested in it, let's discuss it on [Hacker News](https://news.ycombinator.com/item?id=37789903)

log2row/__main__.py → bakalog/__main__.py

@@ -7,10 +7,10 @@
 from IPython import embed
 from rich.logging import RichHandler
 
-from log2row import Match, Sink, collect
-from log2row.cluster import Cluster
-from log2row.extract import extract
-from log2row.util import Memory, parse_size
+from bakalog import Match, Sink, collect
+from bakalog.cluster import Cluster
+from bakalog.extract import extract
+from bakalog.util import Memory, parse_size
 
 
 @click.group()
@@ -19,7 +19,7 @@ def main():
 
 
 @main.command(
-    help="log2row cache all extracted patterns to each files as default, clean the cache as needed."
+    help="bakalog cache all extracted patterns to each files as default, clean the cache as needed."
 )
 def clean():
     files = glob(f"{Memory.PATH}/*")

log2row/extract.py → bakalog/extract.py

@@ -115,7 +115,7 @@ def get_messages(samples):
                 "role": "system",
                 "content": "You are a senior regular expression developer."
                 "Create a regular expression which could match, group and extract the log template of several logs below."
-                "Exactly the same part between logs must be the part of template."
+                "The exactly same part between logs must be the part of template."
                 "Pattern should start with `^` and end with `$`",
             },
             {

log2row/util.py → bakalog/util.py

@@ -43,7 +43,7 @@ def register(self, type, encoder):
 
 class Memory(Singleton):
     home = os.environ["HOME"]
-    PATH = f"{home}/.log2row"
+    PATH = f"{home}/.bakalog"
 
     def __init__(
         self,

pyproject.toml

@@ -1,5 +1,5 @@
 [tool.poetry]
-name = "log2row"
+name = "bakalog"
 version = "0.1.0"
 description = ""
 authors = ["Gwo Tzu-Hsing <gotzehsing@gmail.com>"]