fix bugs if logs has massive kinds of clusters

.github/workflows/python-package.yml

@@ -37,4 +37,4 @@ jobs:
     - name: Test Installation
       run: |
         pip install -e '.'
-        python -m log2array --help
+        python -m log2row --help

README.md

@@ -1,5 +1,5 @@
-# Log2Array
-A command-line tool that automates the detection and extraction of log templates, leveraging regular expressions generated by GPT-4. Say goodbye to the stress of manually writing regex.
+# Log2Row
+A command-line tool that automates the detection and extraction of log templates, leveraging regular expressions generated by GPT-4. Escape from the stress of manually writing regex.
 
 ## What it does?
 If you have several kinds of logs are mixed together:
@@ -33,10 +33,10 @@ I, [2023-09-13T00:00:05.009497 #6]  INFO -- : [28aa673a-e6e0-4016-83af-b39619006
 I, [2023-09-13T00:00:05.010711 #6]  INFO -- : [28aa673a-e6e0-4016-83af-b39619006bc1]   Rendered home/index.html.erb within layouts/application (Duration: 0.1ms | Allocations: 16)
 ```
 
-Log2Array 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:
+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:
 
 ```ipython
-  ↳ OPENAI_API_KEY="***" python3 log2array run ~/Downloads/hn-*.log --gpt-base https://api.openai-hk.com/v1 --max-lines 1024 --buf-size 1MB --threshold 0.8
+  ↳ OPENAI_API_KEY="***" python3 log2row run ~/Downloads/hn-*.log --gpt-base https://api.openai-hk.com/v1 --max-lines 1024 --buf-size 1MB --threshold 0.8
 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.
@@ -121,16 +121,16 @@ DuckDB also supports saving results to various output types such as CSV, JSON, a
 + + >  pattern flow
 ```
 
-Log2Array 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.
+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.
 
-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 Log2Array 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 Log2Row runs, the higher the logs/sec rate it has.
 
 ## How to install it?
 ```
-  ↳pip install git@https://github.com/ethe/log2array.git
+  ↳pip install git@https://github.com/ethe/log2row.git
 
-  ↳ python3 -m log2array
-Usage: python -m log2array [OPTIONS] COMMAND [ARGS]...
+  ↳ python3 -m log2row
+Usage: python -m log2row [OPTIONS] COMMAND [ARGS]...
 
 Options:
   --help  Show this message and exit.
@@ -143,7 +143,7 @@ Commands:
 *Logs2Array requires Python3.9+*
 
 ## How much should I pay?
-Log2Array 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$.
+Log2Row uses GPT-4 to extract the regex of log community, each extraction would costs hundreds to thousands tokens of GPT-4. This means each log community detection would costs 0.01$ to 0.1$.
 
 ## What is next?
 - [ ] auto-detect multiple parts of log templates