optimize srv broker and executor logic (#630)

### What problem does this PR solve?

Optimize task broker and executor for reduce memory usage and deployment
complexity.

### Type of change
- [x] Performance Improvement
- [x] Refactoring

### Change Log
- Enhance redis utils for message queue(use stream)
- Modify task broker logic via message queue (1.get parse event from
message queue 2.use ThreadPoolExecutor async executor )
- Modify the table column name of document and task (process_duation ->
process_duration maybe just a spelling mistake)
- Reformat some code style(just what i see)
- Add requirement_dev.txt for developer
- Add redis container on docker compose

---------

Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>

rag/nlp/query.py

@@ -9,12 +9,11 @@ from elasticsearch_dsl import Q
 
 from rag.nlp import rag_tokenizer, term_weight, synonym
 
-
 class EsQueryer:
     def __init__(self, es):
         self.tw = term_weight.Dealer()
         self.es = es
-        self.syn = synonym.Dealer(None)
+        self.syn = synonym.Dealer()
         self.flds = ["ask_tks^10", "ask_small_tks"]
 
     @staticmethod