Remove FLAGS_enable_meilisearch and FLAGS_rewrite_prompt_with_search_snippet (#122)

Dockerfile

@@ -61,12 +61,6 @@ RUN <<EOF
   rm caddy.tar.gz README.md LICENSE
 EOF
 
-# Install meilisearch
-RUN <<EOF
-  curl -L https://install.meilisearch.com | bash
-  mv meilisearch ~/.bin/
-EOF
-
 # Setup file permissions
 USER root
 RUN mkdir -p /var/lib/vector

tabby/admin/Home.py

@@ -1,5 +1,3 @@
-import os
-
 import streamlit as st
 from utils.service_info import ServiceInfo
 from utils.streamlit import set_page_config
@@ -11,11 +9,6 @@ SERVICES = [
     ServiceInfo(label="dagu", health_url="http://localhost:8083"),
 ]
 
-if os.environ.get("FLAGS_enable_meilisearch", False):
-    SERVICES.append(
-        ServiceInfo(label="meilisearch", health_url="http://localhost:8084")
-    )
-
 
 def make_badge_markdown(x: ServiceInfo):
     return f"![{x.label}]({x.badge_url})"

tabby/scripts/flags.sh

@@ -1,5 +1,3 @@
 ### Experimental feature flags ###
-# export FLAGS_enable_meilisearch="1"
-# export FLAGS_rewrite_prompt_with_search_snippet="1"
 
 ### Released feature flags ###

tabby/scripts/tabby.sh

@@ -59,17 +59,6 @@ command=caddy run --config tabby/config/Caddyfile $CADDY_ARGS
 EOF
 }
 
-program:meilisearch() {
-local MEILI_DIR="$DATA_DIR/meili"
-
-if [[ ! -z ${FLAGS_enable_meilisearch} ]]; then
-cat <<EOF
-[program:meilisearch]
-command=meilisearch --http-addr 0.0.0.0:8084 --db-path ${MEILI_DIR}/data.ms --dump-dir ${MEILI_DIR}/dumps/
-EOF
-fi
-}
-
 supervisor() {
 # Create logs dir if not exists.
 mkdir -p ${LOGS_DIR}
@@ -97,8 +86,6 @@ command=dagu server --host 0.0.0.0 --port 8083
 $(program:triton)
 
 $(program:caddy)
-
-$(program:meilisearch)
 EOF
 )
 }

tabby/server/backend/prompt_rewriter.py

@@ -1,74 +0,0 @@
-import os
-import re
-
-import meilisearch
-from loguru import logger
-
-from .language_presets import LanguagePreset
-
-FLAGS_enable_meilisearch = os.environ.get("FLAGS_enable_meilisearch", None)
-
-
-class PromptRewriter:
-    def __init__(self, meili_addr: str = "http://localhost:8084"):
-        self.meili_client = meilisearch.Client(meili_addr)
-
-    def create_query(self, preset: LanguagePreset, prompt: str):
-        # Remove all punctuations and create tokens.
-        tokens = re.sub(r"[^\w\s]", " ", prompt.lower()).split()
-
-        # Remove short tokens.
-        tokens = [x for x in tokens if len(x) >= 3]
-
-        # Remove tokens in language reserved_keywords.
-        tokens = set([x for x in tokens if x not in preset.reserved_keywords])
-
-        if len(tokens) > 3:
-            return " ".join(tokens)
-        else:
-            raise PromptRewriteFailed("Too few tokens extracted from prompt")
-
-    def rewrite(self, preset: LanguagePreset, prompt: str) -> str:
-        if preset.reserved_keywords is None:
-            raise PromptRewriteFailed("Rewrite requires language keywords list")
-
-        index = self.meili_client.index("dataset")
-        query = self.create_query(preset, prompt)
-        logger.debug("query: {}", query)
-        search_results = index.search(
-            query,
-            {
-                "limit": 3,
-                "attributesToCrop": ["content"],
-                "cropLength": 32,
-                "cropMarker": "",
-                "attributesToRetrieve": ["content"],
-            },
-        )
-
-        if len(search_results["hits"]) == 0:
-            raise PromptRewriteFailed("No related snippets")
-
-        def make_snippet(i, content):
-            content = content["_formatted"]["content"]
-            return f"== snippet {i+1} ==\n{content}"
-
-        snippets = "\n".join(
-            [make_snippet(i, x) for i, x in enumerate(search_results["hits"])]
-        )
-        prompt = f"""Given following relevant code snippet, generate code completion based on context.
-{snippets}
-== context ==
-{prompt}"""
-        logger.debug("prompt: {}", prompt)
-        return prompt
-
-    def __call__(self, preset: LanguagePreset, prompt: str) -> str:
-        try:
-            return self.rewrite(preset, prompt)
-        except PromptRewriteFailed:
-            return prompt
-
-
-class PromptRewriteFailed(Exception):
-    pass

tabby/server/backend/triton.py

@@ -1,4 +1,3 @@
-import os
 import time
 from typing import List
 
@@ -9,13 +8,8 @@ from tritonclient.utils import InferenceServerException, np_to_triton_dtype
 
 from ..models import Choice, CompletionRequest, CompletionResponse
 from .language_presets import LanguagePresets
-from .prompt_rewriter import PromptRewriter
 from .utils import random_completion_id, trim_with_stop_words
 
-FLAGS_rewrite_prompt_with_search_snippet = os.environ.get(
-    "FLAGS_rewrite_prompt_with_search_snippet", None
-)
-
 
 class TritonService:
     def __init__(
@@ -30,11 +24,6 @@ class TritonService:
             url=f"{host}:{port}", verbose=verbose
         )
 
-        if FLAGS_rewrite_prompt_with_search_snippet:
-            self.rewriter = PromptRewriter()
-        else:
-            self.rewriter = None
-
     def generate(self, data: CompletionRequest) -> List[Choice]:
         n = 1
         np_type = np.uint32
@@ -44,10 +33,7 @@ class TritonService:
         if preset is None:
             return []
 
-        if self.rewriter:
+        prompt = data.prompt
-            prompt = self.rewriter(preset, data.prompt)
-        else:
-            prompt = data.prompt
 
         input_start_ids = np.expand_dims(self.tokenizer.encode(prompt), 0)
         input_start_ids = np.repeat(input_start_ids, n, axis=0).astype(np_type)

tabby/tasks/update_dataset.yaml

@@ -7,7 +7,6 @@ env:
   - GIT_REPOSITORIES_DIR: "$GIT_REPOSITORIES_DIR"
   - DATASET_DIR: "$DATASET_DIR"
   - HOME: "$HOME"
-  - FLAGS_enable_meilisearch: "$FLAGS_enable_meilisearch"
 steps:
   - name: update repositories
     dir: $APP_DIR
@@ -18,14 +17,3 @@ steps:
     command: python -m tabby.tools.build_dataset --project_dir=$GIT_REPOSITORIES_DIR --output_dir=$DATASET_DIR
     depends:
       - update repositories
-
-  - name: refresh index
-    dir: $APP_DIR
-    preconditions:
-      - condition: "$FLAGS_enable_meilisearch"
-        expected: "1"
-    depends:
-      - generate dataset
-    command: |
-      curl -X DELETE 'http://localhost:8084/indexes/dataset/documents'
-      curl -X POST 'http://localhost:8084/indexes/dataset/documents?primaryKey=id' -H 'Content-Type: application/x-ndjson' --data-binary @$DATASET_DIR/dumps.json