chore: cleanup unnecessary mypy suppressions on imports (#24712)

api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenizer.py

@@ -43,7 +43,7 @@ class GPT2Tokenizer:
                 except Exception:
                     from os.path import abspath, dirname, join
 
-                    from transformers import GPT2Tokenizer as TransformerGPT2Tokenizer  # type: ignore
+                    from transformers import GPT2Tokenizer as TransformerGPT2Tokenizer
 
                     base_path = abspath(__file__)
                     gpt2_tokenizer_path = join(dirname(base_path), "gpt2")

api/core/plugin/backwards_invocation/model.py

@@ -375,16 +375,16 @@ Here is the extra instruction you need to follow:
 
         # merge lines into messages with max tokens
         messages: list[str] = []
-        for i in new_lines:  # type: ignore
+        for line in new_lines:
             if len(messages) == 0:
-                messages.append(i)  # type: ignore
+                messages.append(line)
             else:
-                if len(messages[-1]) + len(i) < max_tokens * 0.5:  # type: ignore
-                    messages[-1] += i  # type: ignore
-                if get_prompt_tokens(messages[-1] + i) > max_tokens * 0.7:  # type: ignore
-                    messages.append(i)  # type: ignore
+                if len(messages[-1]) + len(line) < max_tokens * 0.5:
+                    messages[-1] += line
+                if get_prompt_tokens(messages[-1] + line) > max_tokens * 0.7:
+                    messages.append(line)
                 else:
-                    messages[-1] += i  # type: ignore
+                    messages[-1] += line
 
         summaries = []
         for i in range(len(messages)):

api/core/rag/datasource/vdb/analyticdb/analyticdb_vector_sql.py

@@ -3,8 +3,8 @@ import uuid
 from contextlib import contextmanager
 from typing import Any
 
-import psycopg2.extras  # type: ignore
-import psycopg2.pool  # type: ignore
+import psycopg2.extras
+import psycopg2.pool
 from pydantic import BaseModel, model_validator
 
 from core.rag.models.document import Document

api/core/rag/datasource/vdb/opengauss/opengauss.py

@@ -3,8 +3,8 @@ import uuid
 from contextlib import contextmanager
 from typing import Any
 
-import psycopg2.extras  # type: ignore
-import psycopg2.pool  # type: ignore
+import psycopg2.extras
+import psycopg2.pool
 from pydantic import BaseModel, model_validator
 
 from configs import dify_config

api/core/rag/datasource/vdb/opensearch/opensearch_vector.py

@@ -48,7 +48,7 @@ class OpenSearchConfig(BaseModel):
         return values
 
     def create_aws_managed_iam_auth(self) -> Urllib3AWSV4SignerAuth:
-        import boto3  # type: ignore
+        import boto3
 
         return Urllib3AWSV4SignerAuth(
             credentials=boto3.Session().get_credentials(),

api/core/rag/datasource/vdb/pgvector/pgvector.py

@@ -6,8 +6,8 @@ from contextlib import contextmanager
 from typing import Any
 
 import psycopg2.errors
-import psycopg2.extras  # type: ignore
-import psycopg2.pool  # type: ignore
+import psycopg2.extras
+import psycopg2.pool
 from pydantic import BaseModel, model_validator
 
 from configs import dify_config

api/core/rag/datasource/vdb/pyvastbase/vastbase_vector.py

@@ -3,8 +3,8 @@ import uuid
 from contextlib import contextmanager
 from typing import Any
 
-import psycopg2.extras  # type: ignore
-import psycopg2.pool  # type: ignore
+import psycopg2.extras
+import psycopg2.pool
 from pydantic import BaseModel, model_validator
 
 from configs import dify_config

api/core/rag/extractor/excel_extractor.py

@@ -4,7 +4,7 @@ import os
 from typing import Optional, cast
 
 import pandas as pd
-from openpyxl import load_workbook  # type: ignore
+from openpyxl import load_workbook
 
 from core.rag.extractor.extractor_base import BaseExtractor
 from core.rag.models.document import Document

api/core/rag/extractor/html_extractor.py

@@ -1,6 +1,6 @@
 """Abstract interface for document loader implementations."""
 
-from bs4 import BeautifulSoup  # type: ignore
+from bs4 import BeautifulSoup
 
 from core.rag.extractor.extractor_base import BaseExtractor
 from core.rag.models.document import Document

api/core/rag/extractor/unstructured/unstructured_eml_extractor.py

@@ -3,7 +3,7 @@ import contextlib
 import logging
 from typing import Optional
 
-from bs4 import BeautifulSoup  # type: ignore
+from bs4 import BeautifulSoup
 
 from core.rag.extractor.extractor_base import BaseExtractor
 from core.rag.models.document import Document

api/core/rag/splitter/text_splitter.py

@@ -144,7 +144,7 @@ class TextSplitter(BaseDocumentTransformer, ABC):
     def from_huggingface_tokenizer(cls, tokenizer: Any, **kwargs: Any) -> TextSplitter:
         """Text splitter that uses HuggingFace tokenizer to count length."""
         try:
-            from transformers import PreTrainedTokenizerBase  # type: ignore
+            from transformers import PreTrainedTokenizerBase
 
             if not isinstance(tokenizer, PreTrainedTokenizerBase):
                 raise ValueError("Tokenizer received was not an instance of PreTrainedTokenizerBase")

api/core/tools/utils/parser.py

@@ -6,7 +6,7 @@ from typing import Optional
 
 from flask import request
 from requests import get
-from yaml import YAMLError, safe_load  # type: ignore
+from yaml import YAMLError, safe_load
 
 from core.tools.entities.common_entities import I18nObject
 from core.tools.entities.tool_bundle import ApiToolBundle