fix: a lot of typos using typos

yihong0618 · yihong0618 · commit 52f008923dcd · 2024-12-05T11:03:00.000+08:00
Signed-off-by: yihong0618 &lt;zouzou0208@gmail.com&gt;
diff --git a/api/commands.py b/api/commands.py
@@ -259,15 +259,15 @@ def migrate_knowledge_vector_database():
     skipped_count = 0
     total_count = 0
     vector_type = dify_config.VECTOR_STORE
-    upper_colletion_vector_types = {
+    upper_collection_vector_types = {
         VectorType.MILVUS,
         VectorType.PGVECTOR,
         VectorType.RELYT,
         VectorType.WEAVIATE,
         VectorType.ORACLE,
         VectorType.ELASTICSEARCH,
     }
-    lower_colletion_vector_types = {
+    lower_collection_vector_types = {
         VectorType.ANALYTICDB,
         VectorType.CHROMA,
         VectorType.MYSCALE,
@@ -307,7 +307,7 @@ def migrate_knowledge_vector_database():
                         continue
                 collection_name = ""
                 dataset_id = dataset.id
-                if vector_type in upper_colletion_vector_types:
+                if vector_type in upper_collection_vector_types:
                     collection_name = Dataset.gen_collection_name_by_id(dataset_id)
                 elif vector_type == VectorType.QDRANT:
                     if dataset.collection_binding_id:
@@ -323,7 +323,7 @@ def migrate_knowledge_vector_database():
                     else:
                         collection_name = Dataset.gen_collection_name_by_id(dataset_id)
 
-                elif vector_type in lower_colletion_vector_types:
+                elif vector_type in lower_collection_vector_types:
                     collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower()
                 else:
                     raise ValueError(f"Vector store {vector_type} is not supported.")
diff --git a/api/core/app/apps/README.md b/api/core/app/apps/README.md
@@ -2,7 +2,7 @@
 
 Due to the presence of tasks in App Runner that require long execution times, such as LLM generation and external requests, Flask-Sqlalchemy's strategy for database connection pooling is to allocate one connection (transaction) per request. This approach keeps a connection occupied even during non-DB tasks, leading to the inability to acquire new connections during high concurrency requests due to multiple long-running tasks.
 
-Therefore, the database operations in App Runner and Task Pipeline must ensure connections are closed immediately after use, and it's better to pass IDs rather than Model objects to avoid deattach errors.
+Therefore, the database operations in App Runner and Task Pipeline must ensure connections are closed immediately after use, and it's better to pass IDs rather than Model objects to avoid detach errors.
 
 Examples:
 
diff --git a/api/core/model_runtime/docs/zh_Hans/interfaces.md b/api/core/model_runtime/docs/zh_Hans/interfaces.md
@@ -91,7 +91,7 @@ class XinferenceProvider(Provider):
       """
   ```
 
-  也可以直接抛出对应Erros，并做如下定义，这样在之后的调用中可以直接抛出`InvokeConnectionError`等异常。
+  也可以直接抛出对应 Errors，并做如下定义，这样在之后的调用中可以直接抛出`InvokeConnectionError`等异常。
   
     ```python
     @property
diff --git a/api/core/tools/provider/builtin/aws/tools/transcribe_asr.yaml b/api/core/tools/provider/builtin/aws/tools/transcribe_asr.yaml
@@ -44,27 +44,27 @@ parameters:
     default: true
     required: false
     label:
-      en_US: Automactically Identify Language
+      en_US: Automatically Identify Language
       zh_Hans: 自动识别语言
-      pt_BR: Automactically Identify Language
+      pt_BR: Automatically Identify Language
     human_description:
-      en_US: Automactically Identify Language
+      en_US: Automatically Identify Language
       zh_Hans: 自动识别语言
-      pt_BR: Automactically Identify Language
-    llm_description: Enable Automactically Identify Language
+      pt_BR: Automatically Identify Language
+    llm_description: Enable Automatically Identify Language
     form: form
   - name: identify_multiple_languages
     type: boolean
     required: false
     label:
-      en_US: Automactically Identify Multiple Languages
+      en_US: Automatically Identify Multiple Languages
       zh_Hans: 自动识别多种语言
-      pt_BR: Automactically Identify Multiple Languages
+      pt_BR: Automatically Identify Multiple Languages
     human_description:
-      en_US: Automactically Identify Multiple Languages
+      en_US: Automatically Identify Multiple Languages
       zh_Hans: 自动识别多种语言
-      pt_BR: Automactically Identify Multiple Languages
-    llm_description: Enable Automactically Identify Multiple Languages
+      pt_BR: Automatically Identify Multiple Languages
+    llm_description: Enable Automatically Identify Multiple Languages
     form: form
   - name: language_options
     type: string
@@ -74,10 +74,10 @@ parameters:
       zh_Hans: 语言种类选项
       pt_BR: Language Options
     human_description:
-      en_US: Seperated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media
+      en_US: Separated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media
       zh_Hans: 您可以指定两个或更多的语言代码来表示您认为可能出现在媒体中的语言。用｜分隔,如 zh-CN|en-US
-      pt_BR: Seperated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media
-    llm_description: Seperated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media
+      pt_BR: Separated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media
+    llm_description: Separated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media
     form: llm
   - name: s3_bucket_name
     type: string
diff --git a/api/core/tools/provider/builtin/cogview/cogview.yaml b/api/core/tools/provider/builtin/cogview/cogview.yaml
@@ -29,7 +29,7 @@ credentials_for_provider:
       en_US: Please input your ZhipuAI API key
       zh_Hans: 请输入你的 ZhipuAI API key
       pt_BR: Please input your ZhipuAI API key
-  zhipuai_organizaion_id:
+  zhipuai_organization_id:
     type: text-input
     required: false
     label:
diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml b/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml
@@ -44,9 +44,9 @@ parameters:
     options:
       - value: square
         label:
-          en_US: Squre(1024x1024)
+          en_US: Square(1024x1024)
           zh_Hans: 方(1024x1024)
-          pt_BR: Squre(1024x1024)
+          pt_BR: Square(1024x1024)
       - value: vertical
         label:
           en_US: Vertical(1024x1792)
diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.yaml b/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.yaml
@@ -28,7 +28,7 @@ parameters:
       en_US: negative prompt
       zh_Hans: 负向提示
     human_description:
-      en_US: Negtive prompt word of the created tile, divided by `,`, Range [1, 512]. Only English input is allowed.
+      en_US: Negative prompt word of the created tile, divided by `,`, Range [1, 512]. Only English input is allowed.
       zh_Hans: 生成平铺图案的负向提示，用 `,` 分隔，范围 [1, 512]。仅允许输入英文。
     llm_description: Image negative prompt of Novita AI, divided by `,`, Range [1, 512]. Only English input is allowed.
     form: llm
diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.yaml b/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.yaml
@@ -17,7 +17,7 @@ parameters:
       en_US: query
       zh_Hans: 查询
     human_description:
-      en_US: Seaching the content of sd_name, name, tags.
+      en_US: Searching the content of sd_name, name, tags.
       zh_Hans: 搜索 sd_name、name、tags 中的内容
     llm_description: Enter the content to search
     form: llm
diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.yaml b/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.yaml
@@ -127,7 +127,7 @@ parameters:
       en_US: guidance scale
       zh_Hans: 提示词遵守程度
     human_description:
-      en_US: This setting says how close the Stable Diffusion will listen to your prompt, higer guidance forces the model to better follow the prompt, but result in lower quality output.Range [1, 30].
+      en_US: This setting says how close the Stable Diffusion will listen to your prompt, higher guidance forces the model to better follow the prompt, but result in lower quality output.Range [1, 30].
       zh_Hans: 此设置表明 Stable Diffusion 如何听从您的提示，较高的 guidance_scale 会强制模型更好跟随提示，但结果会更低质量输出。范围 [1.0, 30.0]。
     form: form
   - name: sampler_name
@@ -238,7 +238,7 @@ parameters:
       en_US: loRAs
       zh_Hans: loRAs
     human_description:
-      en_US: LoRA models. Currenlty supports up to 5 LoRAs. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "LoRA"). Input template is "<sd_name>,<strength [0-1.0]>;<sd_name>,<strength [0-1.0]>;...". Such as"Film Grain style_331903,0.5;DoggystylePOV_9600,0.5"
+      en_US: LoRA models. Currently supports up to 5 LoRAs. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "LoRA"). Input template is "<sd_name>,<strength [0-1.0]>;<sd_name>,<strength [0-1.0]>;...". Such as"Film Grain style_331903,0.5;DoggystylePOV_9600,0.5"
       zh_Hans: LoRA 模型。目前仅支持 5 个 LoRA。可通过“Novita AI 模型请求”工具查询对应的“sd_name”值（类型选择“LoRA”）。输入模板：“<sd_name>,<strength [0-1.0]>;<sd_name>,<strength [0-1.0]>;...”，例如：“Film Grain style_331903,0.5;DoggystylePOV_9600,0.5”
     form: form
   - name: embeddings
@@ -248,7 +248,7 @@ parameters:
       en_US: text embeddings
       zh_Hans: 文本嵌入
     human_description:
-      en_US: Textual Inversion is a training method for personalizing models by learning new text embeddings from a few example images, currenlty supports up to 5 embeddings. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "Text Inversion"). Input template is "<sd_name>;<sd_name>;...". Such as "EasyNegativeV2_75525;AS-YoungerV2"
+      en_US: Textual Inversion is a training method for personalizing models by learning new text embeddings from a few example images, currently supports up to 5 embeddings. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "Text Inversion"). Input template is "<sd_name>;<sd_name>;...". Such as "EasyNegativeV2_75525;AS-YoungerV2"
       zh_Hans: 文本反转是一种通过从一些示例图像中学习新的文本嵌入来个性化模型的训练方法，目前仅支持 5 个嵌入。可通过“Novita AI 模型请求”工具查询对应的“sd_name”值（类型选择“Text Inversion”）。输入模板：“<sd_name>;<sd_name>;...”，例如：“EasyNegativeV2_75525;AS-YoungerV2”
     form: form
   - name: hires_fix
diff --git a/api/core/tools/provider/builtin/searxng/docker/settings.yml b/api/core/tools/provider/builtin/searxng/docker/settings.yml
@@ -33,7 +33,7 @@ search:
   # "seznam", "startpage", "stract", "swisscows", "qwant", "wikipedia" - leave blank to turn it off
   # by default.
   autocomplete: ""
-  # minimun characters to type before autocompleter starts
+  # minimum characters to type before autocompleter starts
   autocomplete_min: 4
   # Default search language - leave blank to detect from browser information or
   # use codes from 'languages.py'
@@ -1026,7 +1026,7 @@ engines:
 
   - name: invidious
     engine: invidious
-    # Instanes will be selected randomly, see https://api.invidious.io/ for
+    # Instances will be selected randomly, see https://api.invidious.io/ for
     # instances that are stable (good uptime) and close to you.
     base_url:
       - https://invidious.io.lol
diff --git a/api/core/tools/provider/builtin/time/tools/timezone_conversion.py b/api/core/tools/provider/builtin/time/tools/timezone_conversion.py
@@ -23,7 +23,7 @@ def _invoke(
         target_time = self.timezone_convert(current_time, current_timezone, target_timezone)
         if not target_time:
             return self.create_text_message(
-                f"Invalid datatime and timezone: {current_time},{current_timezone},{target_timezone}"
+                f"Invalid datetime and timezone: {current_time},{current_timezone},{target_timezone}"
             )
 
         return self.create_text_message(f"{target_time}")
diff --git a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py b/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py
@@ -61,7 +61,7 @@ def _invoke(
                 params["input"] = query
             else:
                 finished = True
-                if "souces" in response_data["queryresult"]:
+                if "sources" in response_data["queryresult"]:
                     return self.create_link_message(response_data["queryresult"]["sources"]["url"])
                 elif "pods" in response_data["queryresult"]:
                     result = response_data["queryresult"]["pods"][0]["subpods"][0]["plaintext"]
diff --git a/api/core/workflow/nodes/if_else/if_else_node.py b/api/core/workflow/nodes/if_else/if_else_node.py
@@ -24,7 +24,7 @@ def _run(self) -> NodeRunResult:
         """
         node_inputs: dict[str, list] = {"conditions": []}
 
-        process_datas: dict[str, list] = {"condition_results": []}
+        process_data: dict[str, list] = {"condition_results": []}
 
         input_conditions = []
         final_result = False
@@ -40,7 +40,7 @@ def _run(self) -> NodeRunResult:
                         operator=case.logical_operator,
                     )
 
-                    process_datas["condition_results"].append(
+                    process_data["condition_results"].append(
                         {
                             "group": case.model_dump(),
                             "results": group_result,
@@ -65,23 +65,23 @@ def _run(self) -> NodeRunResult:
 
                 selected_case_id = "true" if final_result else "false"
 
-                process_datas["condition_results"].append(
+                process_data["condition_results"].append(
                     {"group": "default", "results": group_result, "final_result": final_result}
                 )
 
             node_inputs["conditions"] = input_conditions
 
         except Exception as e:
             return NodeRunResult(
-                status=WorkflowNodeExecutionStatus.FAILED, inputs=node_inputs, process_data=process_datas, error=str(e)
+                status=WorkflowNodeExecutionStatus.FAILED, inputs=node_inputs, process_data=process_data, error=str(e)
             )
 
         outputs = {"result": final_result, "selected_case_id": selected_case_id}
 
         data = NodeRunResult(
             status=WorkflowNodeExecutionStatus.SUCCEEDED,
             inputs=node_inputs,
-            process_data=process_datas,
+            process_data=process_data,
             edge_source_handle=selected_case_id or "false",  # Use case ID or 'default'
             outputs=outputs,
         )
diff --git a/api/core/workflow/nodes/variable_assigner/v2/exc.py b/api/core/workflow/nodes/variable_assigner/v2/exc.py
@@ -7,8 +7,8 @@
 
 
 class OperationNotSupportedError(VariableOperatorNodeError):
-    def __init__(self, *, operation: Operation, varialbe_type: str):
-        super().__init__(f"Operation {operation} is not supported for type {varialbe_type}")
+    def __init__(self, *, operation: Operation, variable_type: str):
+        super().__init__(f"Operation {operation} is not supported for type {variable_type}")
 
 
 class InputTypeNotSupportedError(VariableOperatorNodeError):
diff --git a/api/core/workflow/nodes/variable_assigner/v2/node.py b/api/core/workflow/nodes/variable_assigner/v2/node.py
@@ -45,7 +45,7 @@ def _run(self) -> NodeRunResult:
 
                 # Check if operation is supported
                 if not helpers.is_operation_supported(variable_type=variable.value_type, operation=item.operation):
-                    raise OperationNotSupportedError(operation=item.operation, varialbe_type=variable.value_type)
+                    raise OperationNotSupportedError(operation=item.operation, variable_type=variable.value_type)
 
                 # Check if variable input is supported
                 if item.input_type == InputType.VARIABLE and not helpers.is_variable_input_supported(
@@ -156,4 +156,4 @@ def _handle_item(
             case Operation.DIVIDE:
                 return variable.value / value
             case _:
-                raise OperationNotSupportedError(operation=operation, varialbe_type=variable.value_type)
+                raise OperationNotSupportedError(operation=operation, variable_type=variable.value_type)
