From 27e33fb15c01befb47d02afe257746778b1164ed Mon Sep 17 00:00:00 2001 From: ice yao Date: Sat, 28 Sep 2024 10:54:04 +0800 Subject: [PATCH 01/18] chore: fix wrong VectorType match case (#8857) --- api/controllers/console/datasets/datasets.py | 3 ++- api/core/rag/datasource/vdb/tencent/tencent_vector.py | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index 2c4e5ac60789e7..5a763b3457c695 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -563,10 +563,10 @@ def get(self): case ( VectorType.MILVUS | VectorType.RELYT - | VectorType.PGVECTOR | VectorType.TIDB_VECTOR | VectorType.CHROMA | VectorType.TENCENT + | VectorType.PGVECTO_RS ): return {"retrieval_method": [RetrievalMethod.SEMANTIC_SEARCH.value]} case ( @@ -577,6 +577,7 @@ def get(self): | VectorType.MYSCALE | VectorType.ORACLE | VectorType.ELASTICSEARCH + | VectorType.PGVECTOR ): return { "retrieval_method": [ diff --git a/api/core/rag/datasource/vdb/tencent/tencent_vector.py b/api/core/rag/datasource/vdb/tencent/tencent_vector.py index faa373017becf9..39e3a7f6cfea42 100644 --- a/api/core/rag/datasource/vdb/tencent/tencent_vector.py +++ b/api/core/rag/datasource/vdb/tencent/tencent_vector.py @@ -56,7 +56,7 @@ def _init_database(self): return self._client.create_database(database_name=self._client_config.database) def get_type(self) -> str: - return "tencent" + return VectorType.TENCENT def to_index_struct(self) -> dict: return {"type": self.get_type(), "vector_store": {"class_prefix": self._collection_name}} From a2e2f8a8c98e188dd3d0a4669b4775260756a106 Mon Sep 17 00:00:00 2001 From: Kevin9703 <51311316+Kevin9703@users.noreply.github.com> Date: Sat, 28 Sep 2024 10:54:50 +0800 Subject: [PATCH 02/18] =?UTF-8?q?fix(workflow/nodes/knowledge-retrieval/us?= =?UTF-8?q?e-config):=20Preserve=20rerankin=E2=80=A6=20(#8842)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../components/workflow/nodes/knowledge-retrieval/use-config.ts | 2 ++ 1 file changed, 2 insertions(+) diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/use-config.ts b/web/app/components/workflow/nodes/knowledge-retrieval/use-config.ts index 994bf4f2052dff..6d856003d41109 100644 --- a/web/app/components/workflow/nodes/knowledge-retrieval/use-config.ts +++ b/web/app/components/workflow/nodes/knowledge-retrieval/use-config.ts @@ -136,6 +136,8 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => { top_k: multipleRetrievalConfig?.top_k || DATASET_DEFAULT.top_k, score_threshold: multipleRetrievalConfig?.score_threshold, reranking_model: multipleRetrievalConfig?.reranking_model, + reranking_mode: multipleRetrievalConfig?.reranking_mode, + weights: multipleRetrievalConfig?.weights, } }) setInputs(newInput) From 6cd22f3bca2509c19f7b4dcfca4b4785b139d677 Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Sat, 28 Sep 2024 15:01:27 +0800 Subject: [PATCH 03/18] fix: update qwen2.5-coder-7b model name (#8861) --- .../model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml index fdcd3d42757edb..7ebeec395393c7 100644 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml +++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml @@ -1,7 +1,7 @@ # for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-7b-instruct +model: qwen2.5-coder-7b-instruct label: - en_US: qwen2.5-7b-instruct + en_US: qwen2.5-coder-7b-instruct model_type: llm features: - agent-thought From 49af18fbd6549e1ce756544529158a5ca8a7c338 Mon Sep 17 00:00:00 2001 From: takatost Date: Sat, 28 Sep 2024 15:54:26 +0800 Subject: [PATCH 04/18] fix: customize model credentials were invalid despite the provider credentials being active (#8864) --- api/core/entities/provider_configuration.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/core/entities/provider_configuration.py b/api/core/entities/provider_configuration.py index 4797b69b8596bb..807f09598c7607 100644 --- a/api/core/entities/provider_configuration.py +++ b/api/core/entities/provider_configuration.py @@ -119,7 +119,7 @@ def get_current_credentials(self, model_type: ModelType, model: str) -> Optional credentials = model_configuration.credentials break - if self.custom_configuration.provider: + if not credentials and self.custom_configuration.provider: credentials = self.custom_configuration.provider.credentials return credentials From 61c89a9168e54f79be54866a1e88171da533f91a Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Sat, 28 Sep 2024 16:31:02 +0800 Subject: [PATCH 05/18] feat: add internlm2.5-20b and qwen2.5-coder-7b model (#8862) --- .../siliconflow/llm/_position.yaml | 16 +--- .../siliconflow/llm/internlm2_5-20b-chat.yaml | 30 ++++++++ .../llm/qwen2.5-coder-7b-instruct.yaml | 74 +++++++++++++++++++ .../llm/qwen2.5-math-72b-instruct.yaml | 74 +++++++++++++++++++ 4 files changed, 181 insertions(+), 13 deletions(-) create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-20b-chat.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml index a3e5d0981f7436..8d1df82140b79f 100644 --- a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml +++ b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml @@ -1,18 +1,17 @@ - Qwen/Qwen2.5-72B-Instruct -- Qwen/Qwen2.5-Math-72B-Instruct - Qwen/Qwen2.5-32B-Instruct - Qwen/Qwen2.5-14B-Instruct - Qwen/Qwen2.5-7B-Instruct - Qwen/Qwen2.5-Coder-7B-Instruct -- deepseek-ai/DeepSeek-V2.5 +- Qwen/Qwen2.5-Math-72B-Instruct - Qwen/Qwen2-72B-Instruct - Qwen/Qwen2-57B-A14B-Instruct - Qwen/Qwen2-7B-Instruct - Qwen/Qwen2-1.5B-Instruct +- deepseek-ai/DeepSeek-V2.5 - deepseek-ai/DeepSeek-V2-Chat - deepseek-ai/DeepSeek-Coder-V2-Instruct - THUDM/glm-4-9b-chat -- THUDM/chatglm3-6b - 01-ai/Yi-1.5-34B-Chat-16K - 01-ai/Yi-1.5-9B-Chat-16K - 01-ai/Yi-1.5-6B-Chat @@ -26,13 +25,4 @@ - google/gemma-2-27b-it - google/gemma-2-9b-it - mistralai/Mistral-7B-Instruct-v0.2 -- Pro/Qwen/Qwen2-7B-Instruct -- Pro/Qwen/Qwen2-1.5B-Instruct -- Pro/THUDM/glm-4-9b-chat -- Pro/THUDM/chatglm3-6b -- Pro/01-ai/Yi-1.5-9B-Chat-16K -- Pro/01-ai/Yi-1.5-6B-Chat -- Pro/internlm/internlm2_5-7b-chat -- Pro/meta-llama/Meta-Llama-3.1-8B-Instruct -- Pro/meta-llama/Meta-Llama-3-8B-Instruct -- Pro/google/gemma-2-9b-it +- mistralai/Mixtral-8x7B-Instruct-v0.1 diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-20b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-20b-chat.yaml new file mode 100644 index 00000000000000..d9663582e5ca26 --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-20b-chat.yaml @@ -0,0 +1,30 @@ +model: internlm/internlm2_5-20b-chat +label: + en_US: internlm/internlm2_5-20b-chat +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '1' + output: '1' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml new file mode 100644 index 00000000000000..76526200ccdccc --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml @@ -0,0 +1,74 @@ +model: Qwen/Qwen2.5-Coder-7B-Instruct +label: + en_US: Qwen/Qwen2.5-Coder-7B-Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 8192 + min: 1 + max: 8192 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + use_template: response_format +pricing: + input: '0' + output: '0' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml new file mode 100644 index 00000000000000..90afa0cfd5b96a --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml @@ -0,0 +1,74 @@ +model: Qwen/Qwen2.5-Math-72B-Instruct +label: + en_US: Qwen/Qwen2.5-Math-72B-Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 4096 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 2000 + min: 1 + max: 2000 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + use_template: response_format +pricing: + input: '4.13' + output: '4.13' + unit: '0.000001' + currency: RMB From 850492dafaa8ef801a332d5a787cc9818c7b6072 Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Sat, 28 Sep 2024 21:40:27 +0800 Subject: [PATCH 06/18] feat: deprecate gte-Qwen2-7B-instruct embedding model (#8866) --- .../perfxcloud/llm/_position.yaml | 21 +++++++++---------- .../perfxcloud/text_embedding/_position.yaml | 4 ++++ .../text_embedding/gte-Qwen2-7B-instruct.yaml | 1 + 3 files changed, 15 insertions(+), 11 deletions(-) create mode 100644 api/core/model_runtime/model_providers/perfxcloud/text_embedding/_position.yaml diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/_position.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/_position.yaml index 37bf400f1e3475..c6930e54f50aa4 100644 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/_position.yaml +++ b/api/core/model_runtime/model_providers/perfxcloud/llm/_position.yaml @@ -1,24 +1,23 @@ - Qwen2.5-72B-Instruct - Qwen2.5-7B-Instruct +- Qwen2-72B-Instruct +- Qwen2-72B-Instruct-AWQ-int4 +- Qwen2-72B-Instruct-GPTQ-Int4 +- Qwen2-7B-Instruct +- Qwen2-7B +- Qwen1.5-110B-Chat-GPTQ-Int4 +- Qwen1.5-72B-Chat-GPTQ-Int4 +- Qwen1.5-7B +- Qwen-14B-Chat-Int4 - Yi-Coder-1.5B-Chat - Yi-Coder-9B-Chat -- Qwen2-72B-Instruct-AWQ-int4 - Yi-1_5-9B-Chat-16K -- Qwen2-7B-Instruct - Reflection-Llama-3.1-70B -- Qwen2-72B-Instruct - Meta-Llama-3.1-8B-Instruct - - Meta-Llama-3.1-405B-Instruct-AWQ-INT4 - Meta-Llama-3-70B-Instruct-GPTQ-Int4 -- chatglm3-6b - Meta-Llama-3-8B-Instruct - Llama3-Chinese_v2 - deepseek-v2-lite-chat -- Qwen2-72B-Instruct-GPTQ-Int4 -- Qwen2-7B -- Qwen-14B-Chat-Int4 -- Qwen1.5-72B-Chat-GPTQ-Int4 -- Qwen1.5-7B -- Qwen1.5-110B-Chat-GPTQ-Int4 - deepseek-v2-chat +- chatglm3-6b diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/_position.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/_position.yaml new file mode 100644 index 00000000000000..99163d42931b16 --- /dev/null +++ b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/_position.yaml @@ -0,0 +1,4 @@ +- gte-Qwen2-7B-instruct +- BAAI/bge-large-en-v1.5 +- BAAI/bge-large-zh-v1.5 +- BAAI/bge-m3 diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/gte-Qwen2-7B-instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/gte-Qwen2-7B-instruct.yaml index 03db0d8bce8500..161d5ea9a2657e 100644 --- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/gte-Qwen2-7B-instruct.yaml +++ b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/gte-Qwen2-7B-instruct.yaml @@ -2,3 +2,4 @@ model: gte-Qwen2-7B-instruct model_type: text-embedding model_properties: context_size: 2048 +deprecated: true From f97607370a2dae9eff8bfeece505b417d232df76 Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Sat, 28 Sep 2024 21:41:02 +0800 Subject: [PATCH 07/18] refactor: update Callback to an abstract class (#8868) --- api/core/model_runtime/callbacks/base_callback.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/api/core/model_runtime/callbacks/base_callback.py b/api/core/model_runtime/callbacks/base_callback.py index 92da53c9a464df..6bd9325785a2da 100644 --- a/api/core/model_runtime/callbacks/base_callback.py +++ b/api/core/model_runtime/callbacks/base_callback.py @@ -1,3 +1,4 @@ +from abc import ABC, abstractmethod from typing import Optional from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk @@ -13,7 +14,7 @@ } -class Callback: +class Callback(ABC): """ Base class for callbacks. Only for LLM. @@ -21,6 +22,7 @@ class Callback: raise_error: bool = False + @abstractmethod def on_before_invoke( self, llm_instance: AIModel, @@ -48,6 +50,7 @@ def on_before_invoke( """ raise NotImplementedError() + @abstractmethod def on_new_chunk( self, llm_instance: AIModel, @@ -77,6 +80,7 @@ def on_new_chunk( """ raise NotImplementedError() + @abstractmethod def on_after_invoke( self, llm_instance: AIModel, @@ -106,6 +110,7 @@ def on_after_invoke( """ raise NotImplementedError() + @abstractmethod def on_invoke_error( self, llm_instance: AIModel, From 74f58f29f9a3070152b0bb097eb2bebb9f9cd19e Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Sun, 29 Sep 2024 00:29:59 +0800 Subject: [PATCH 08/18] chore: bump ruff to 0.6.8 for fixing violation in SIM910 (#8869) --- .../zhipuai/zhipuai_sdk/core/_utils/_utils.py | 2 +- .../rag/datasource/keyword/jieba/jieba.py | 2 +- .../event_handlers/create_document_index.py | 2 +- api/poetry.lock | 40 +++++++++---------- api/pyproject.toml | 2 +- .../integration_tests/tools/__mock/http.py | 2 +- .../workflow/nodes/__mock/http.py | 4 +- 7 files changed, 27 insertions(+), 27 deletions(-) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_utils.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_utils.py index ce5e7786aa2937..3a7b234ab0c067 100644 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_utils.py +++ b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_utils.py @@ -248,7 +248,7 @@ def inner(func: CallableT) -> CallableT: @functools.wraps(func) def wrapper(*args: object, **kwargs: object) -> object: given_params: set[str] = set() - for i, _ in enumerate(args): + for i in range(len(args)): try: given_params.add(positional[i]) except IndexError: diff --git a/api/core/rag/datasource/keyword/jieba/jieba.py b/api/core/rag/datasource/keyword/jieba/jieba.py index 3073100746d360..a0153c1e58a1a8 100644 --- a/api/core/rag/datasource/keyword/jieba/jieba.py +++ b/api/core/rag/datasource/keyword/jieba/jieba.py @@ -45,7 +45,7 @@ def add_texts(self, texts: list[Document], **kwargs): keyword_table_handler = JiebaKeywordTableHandler() keyword_table = self._get_dataset_keyword_table() - keywords_list = kwargs.get("keywords_list", None) + keywords_list = kwargs.get("keywords_list") for i in range(len(texts)): text = texts[i] if keywords_list: diff --git a/api/events/event_handlers/create_document_index.py b/api/events/event_handlers/create_document_index.py index 54f6a76e167231..5af45e1e5026df 100644 --- a/api/events/event_handlers/create_document_index.py +++ b/api/events/event_handlers/create_document_index.py @@ -14,7 +14,7 @@ @document_index_created.connect def handle(sender, **kwargs): dataset_id = sender - document_ids = kwargs.get("document_ids", None) + document_ids = kwargs.get("document_ids") documents = [] start_at = time.perf_counter() for document_id in document_ids: diff --git a/api/poetry.lock b/api/poetry.lock index bce21fb547c8ca..85c68cd75f1292 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -8074,29 +8074,29 @@ pyasn1 = ">=0.1.3" [[package]] name = "ruff" -version = "0.6.5" +version = "0.6.8" description = "An extremely fast Python linter and code formatter, written in Rust." optional = false python-versions = ">=3.7" files = [ - {file = "ruff-0.6.5-py3-none-linux_armv6l.whl", hash = "sha256:7e4e308f16e07c95fc7753fc1aaac690a323b2bb9f4ec5e844a97bb7fbebd748"}, - {file = "ruff-0.6.5-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:932cd69eefe4daf8c7d92bd6689f7e8182571cb934ea720af218929da7bd7d69"}, - {file = "ruff-0.6.5-py3-none-macosx_11_0_arm64.whl", hash = "sha256:3a8d42d11fff8d3143ff4da41742a98f8f233bf8890e9fe23077826818f8d680"}, - {file = "ruff-0.6.5-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a50af6e828ee692fb10ff2dfe53f05caecf077f4210fae9677e06a808275754f"}, - 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data = kwargs.get("data", None) + data = kwargs.get("data") resp = json.dumps(data).encode("utf-8") if data else b"OK" response = httpx.Response( status_code=200, diff --git a/api/tests/integration_tests/workflow/nodes/__mock/http.py b/api/tests/integration_tests/workflow/nodes/__mock/http.py index f1ab23b0026aab..ec013183b7601d 100644 --- a/api/tests/integration_tests/workflow/nodes/__mock/http.py +++ b/api/tests/integration_tests/workflow/nodes/__mock/http.py @@ -22,8 +22,8 @@ def httpx_request( return response # get data, files - data = kwargs.get("data", None) - files = kwargs.get("files", None) + data = kwargs.get("data") + files = kwargs.get("files") if data is not None: resp = dumps(data).encode("utf-8") elif files is not None: From 4ec977eabafefc3859ef04425ec669ce87b5483e Mon Sep 17 00:00:00 2001 From: -LAN- Date: Sun, 29 Sep 2024 16:12:42 +0800 Subject: [PATCH 09/18] fix(workflow): update tagging logic in GitHub Actions (#8882) --- .github/workflows/build-push.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build-push.yml b/.github/workflows/build-push.yml index 407bd47d9b0f8f..6daaaf5791dd24 100644 --- a/.github/workflows/build-push.yml +++ b/.github/workflows/build-push.yml @@ -125,7 +125,7 @@ jobs: with: images: ${{ env[matrix.image_name_env] }} tags: | - type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }} + type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') && !contains(github.ref, '-') }} type=ref,event=branch type=sha,enable=true,priority=100,prefix=,suffix=,format=long type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }} From e4ed916baadb10ffd22ec1772e56b4fcefa1b57f Mon Sep 17 00:00:00 2001 From: longzhihun <38651850@qq.com> Date: Sun, 29 Sep 2024 16:12:56 +0800 Subject: [PATCH 10/18] Add Jamba and Llama3.2 model support (#8878) --- .../bedrock/llm/_position.yaml | 6 ++++ .../llm/ai21.jamba-1-5-large-v1.0.yaml | 26 ++++++++++++++++ .../bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml | 26 ++++++++++++++++ .../model_providers/bedrock/llm/llm.py | 2 ++ .../us.meta.llama3-2-11b-instruct-v1.0.yaml | 29 +++++++++++++++++ .../us.meta.llama3-2-1b-instruct-v1.0.yaml | 26 ++++++++++++++++ .../us.meta.llama3-2-3b-instruct-v1.0.yaml | 26 ++++++++++++++++ .../us.meta.llama3-2-90b-instruct-v1.0.yaml | 31 +++++++++++++++++++ 8 files changed, 172 insertions(+) create mode 100644 api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml create mode 100644 api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml create mode 100644 api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml create mode 100644 api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml create mode 100644 api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml create mode 100644 api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml diff --git a/api/core/model_runtime/model_providers/bedrock/llm/_position.yaml b/api/core/model_runtime/model_providers/bedrock/llm/_position.yaml index 86c8061deefac8..47e2b020fd09a3 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/_position.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/_position.yaml @@ -6,6 +6,8 @@ - anthropic.claude-v2:1 - anthropic.claude-3-sonnet-v1:0 - anthropic.claude-3-haiku-v1:0 +- ai21.jamba-1-5-large-v1:0 +- ai21.jamba-1-5-mini-v1:0 - cohere.command-light-text-v14 - cohere.command-text-v14 - cohere.command-r-plus-v1.0 @@ -15,6 +17,10 @@ - meta.llama3-1-405b-instruct-v1:0 - meta.llama3-8b-instruct-v1:0 - meta.llama3-70b-instruct-v1:0 +- us.meta.llama3-2-1b-instruct-v1:0 +- us.meta.llama3-2-3b-instruct-v1:0 +- us.meta.llama3-2-11b-instruct-v1:0 +- us.meta.llama3-2-90b-instruct-v1:0 - meta.llama2-13b-chat-v1 - meta.llama2-70b-chat-v1 - mistral.mistral-large-2407-v1:0 diff --git a/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml new file mode 100644 index 00000000000000..276c7312cee008 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml @@ -0,0 +1,26 @@ +model: ai21.jamba-1-5-large-v1:0 +label: + en_US: Jamba 1.5 Large +model_type: llm +model_properties: + mode: completion + context_size: 256000 +parameter_rules: + - name: temperature + use_template: temperature + default: 1 + min: 0.0 + max: 2.0 + - name: top_p + use_template: top_p + - name: max_gen_len + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 +pricing: + input: '0.002' + output: '0.008' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml new file mode 100644 index 00000000000000..3461d8ab71329d --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml @@ -0,0 +1,26 @@ +model: ai21.jamba-1-5-mini-v1:0 +label: + en_US: Jamba 1.5 Mini +model_type: llm +model_properties: + mode: completion + context_size: 256000 +parameter_rules: + - name: temperature + use_template: temperature + default: 1 + min: 0.0 + max: 2.0 + - name: top_p + use_template: top_p + - name: max_gen_len + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 +pricing: + input: '0.0002' + output: '0.0004' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/llm.py b/api/core/model_runtime/model_providers/bedrock/llm/llm.py index 77bab0c2945887..d1961784f2e841 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/llm.py +++ b/api/core/model_runtime/model_providers/bedrock/llm/llm.py @@ -63,6 +63,7 @@ class BedrockLargeLanguageModel(LargeLanguageModel): {"prefix": "us.anthropic.claude-3", "support_system_prompts": True, "support_tool_use": True}, {"prefix": "eu.anthropic.claude-3", "support_system_prompts": True, "support_tool_use": True}, {"prefix": "anthropic.claude-3", "support_system_prompts": True, "support_tool_use": True}, + {"prefix": "us.meta.llama3-2", "support_system_prompts": True, "support_tool_use": True}, {"prefix": "meta.llama", "support_system_prompts": True, "support_tool_use": False}, {"prefix": "mistral.mistral-7b-instruct", "support_system_prompts": False, "support_tool_use": False}, {"prefix": "mistral.mixtral-8x7b-instruct", "support_system_prompts": False, "support_tool_use": False}, @@ -70,6 +71,7 @@ class BedrockLargeLanguageModel(LargeLanguageModel): {"prefix": "mistral.mistral-small", "support_system_prompts": True, "support_tool_use": True}, {"prefix": "cohere.command-r", "support_system_prompts": True, "support_tool_use": True}, {"prefix": "amazon.titan", "support_system_prompts": False, "support_tool_use": False}, + {"prefix": "ai21.jamba-1-5", "support_system_prompts": True, "support_tool_use": False}, ] @staticmethod diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml new file mode 100644 index 00000000000000..029f428776e0be --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml @@ -0,0 +1,29 @@ +model: us.meta.llama3-2-11b-instruct-v1:0 +label: + en_US: US Meta Llama 3.2 11B Instruct +model_type: llm +features: + - vision + - tool-call +model_properties: + mode: completion + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + min: 0.0 + max: 1 + - name: top_p + use_template: top_p + - name: max_gen_len + use_template: max_tokens + required: true + default: 512 + min: 1 + max: 2048 +pricing: + input: '0.00035' + output: '0.00035' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml new file mode 100644 index 00000000000000..51c8474e54846d --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml @@ -0,0 +1,26 @@ +model: us.meta.llama3-2-1b-instruct-v1:0 +label: + en_US: US Meta Llama 3.2 1B Instruct +model_type: llm +model_properties: + mode: completion + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + min: 0.0 + max: 1 + - name: top_p + use_template: top_p + - name: max_gen_len + use_template: max_tokens + required: true + default: 512 + min: 1 + max: 2048 +pricing: + input: '0.0001' + output: '0.0001' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml new file mode 100644 index 00000000000000..472cc7403e2d3e --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml @@ -0,0 +1,26 @@ +model: us.meta.llama3-2-3b-instruct-v1:0 +label: + en_US: US Meta Llama 3.2 3B Instruct +model_type: llm +model_properties: + mode: completion + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + min: 0.0 + max: 1 + - name: top_p + use_template: top_p + - name: max_gen_len + use_template: max_tokens + required: true + default: 512 + min: 1 + max: 2048 +pricing: + input: '0.00015' + output: '0.00015' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml new file mode 100644 index 00000000000000..cecd0236ca9e31 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml @@ -0,0 +1,31 @@ +model: us.meta.llama3-2-90b-instruct-v1:0 +label: + en_US: US Meta Llama 3.2 90B Instruct +model_type: llm +features: + - tool-call +model_properties: + mode: completion + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + min: 0.0 + max: 1 + - name: top_p + use_template: top_p + default: 0.9 + min: 0 + max: 1 + - name: max_gen_len + use_template: max_tokens + required: true + default: 512 + min: 1 + max: 2048 +pricing: + input: '0.002' + output: '0.002' + unit: '0.001' + currency: USD From c531b4a911f34357e2beeff77bdc5e1ecb4333de Mon Sep 17 00:00:00 2001 From: chenxu9741 Date: Sun, 29 Sep 2024 16:13:20 +0800 Subject: [PATCH 11/18] =?UTF-8?q?fix:=20#8843=20event:=20tts=5Fmessage=5Fe?= =?UTF-8?q?nd=20always=20return=20in=20api=20streaming=20resp=E2=80=A6=20(?= =?UTF-8?q?#8846)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- api/core/app/apps/advanced_chat/generate_task_pipeline.py | 3 ++- api/core/app/apps/workflow/generate_task_pipeline.py | 3 ++- .../app/task_pipeline/easy_ui_based_generate_task_pipeline.py | 3 ++- .../model_providers/zhipuai/zhipuai_sdk/core/_base_models.py | 2 +- 4 files changed, 7 insertions(+), 4 deletions(-) diff --git a/api/core/app/apps/advanced_chat/generate_task_pipeline.py b/api/core/app/apps/advanced_chat/generate_task_pipeline.py index 94206a1b1cd678..897b6fd063c76b 100644 --- a/api/core/app/apps/advanced_chat/generate_task_pipeline.py +++ b/api/core/app/apps/advanced_chat/generate_task_pipeline.py @@ -231,7 +231,8 @@ def _wrapper_process_stream_response( except Exception as e: logger.error(e) break - yield MessageAudioEndStreamResponse(audio="", task_id=task_id) + if tts_publisher: + yield MessageAudioEndStreamResponse(audio="", task_id=task_id) def _process_stream_response( self, diff --git a/api/core/app/apps/workflow/generate_task_pipeline.py b/api/core/app/apps/workflow/generate_task_pipeline.py index 93edf8e0e882b5..798847a5070b8d 100644 --- a/api/core/app/apps/workflow/generate_task_pipeline.py +++ b/api/core/app/apps/workflow/generate_task_pipeline.py @@ -212,7 +212,8 @@ def _wrapper_process_stream_response( except Exception as e: logger.error(e) break - yield MessageAudioEndStreamResponse(audio="", task_id=task_id) + if tts_publisher: + yield MessageAudioEndStreamResponse(audio="", task_id=task_id) def _process_stream_response( self, diff --git a/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py b/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py index 8f834b6458ea4b..917649f34e769c 100644 --- a/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py +++ b/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py @@ -248,7 +248,8 @@ def _wrapper_process_stream_response( else: start_listener_time = time.time() yield MessageAudioStreamResponse(audio=audio.audio, task_id=task_id) - yield MessageAudioEndStreamResponse(audio="", task_id=task_id) + if publisher: + yield MessageAudioEndStreamResponse(audio="", task_id=task_id) def _process_stream_response( self, publisher: AppGeneratorTTSPublisher, trace_manager: Optional[TraceQueueManager] = None diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_models.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_models.py index 6d8ba700b7b1dc..69b1d3a83dfef3 100644 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_models.py +++ b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_models.py @@ -48,7 +48,7 @@ ) if TYPE_CHECKING: - from pydantic_core.core_schema import LiteralSchema, ModelField, ModelFieldsSchema + from pydantic_core.core_schema import ModelField __all__ = ["BaseModel", "GenericModel"] _BaseModelT = TypeVar("_BaseModelT", bound="BaseModel") From 42dfde65468ec8b945eb086d88441baf1fc22e2d Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Sun, 29 Sep 2024 16:16:56 +0800 Subject: [PATCH 12/18] docs: add english versions for the files customizable_model_scale_out and predefined_model_scale_out (#8871) --- .../en_US/customizable_model_scale_out.md | 310 ++++++++++++++++++ .../docs/en_US/images/index/image-1.png | Bin 0 -> 235102 bytes .../docs/en_US/images/index/image-2.png | Bin 0 -> 210087 bytes .../docs/en_US/images/index/image-3.png | Bin 0 -> 44778 bytes .../docs/en_US/images/index/image.png | Bin 0 -> 267979 bytes .../docs/en_US/predefined_model_scale_out.md | 173 ++++++++++ .../docs/en_US/provider_scale_out.md | 2 +- .../docs/zh_Hans/provider_scale_out.md | 2 +- 8 files changed, 485 insertions(+), 2 deletions(-) create mode 100644 api/core/model_runtime/docs/en_US/customizable_model_scale_out.md create mode 100644 api/core/model_runtime/docs/en_US/images/index/image-1.png create mode 100644 api/core/model_runtime/docs/en_US/images/index/image-2.png create mode 100644 api/core/model_runtime/docs/en_US/images/index/image-3.png create mode 100644 api/core/model_runtime/docs/en_US/images/index/image.png create mode 100644 api/core/model_runtime/docs/en_US/predefined_model_scale_out.md diff --git a/api/core/model_runtime/docs/en_US/customizable_model_scale_out.md b/api/core/model_runtime/docs/en_US/customizable_model_scale_out.md new file mode 100644 index 00000000000000..f5b806ade6f499 --- /dev/null +++ b/api/core/model_runtime/docs/en_US/customizable_model_scale_out.md @@ -0,0 +1,310 @@ +## Custom Integration of Pre-defined Models + +### Introduction + +After completing the vendors integration, the next step is to connect the vendor's models. To illustrate the entire connection process, we will use Xinference as an example to demonstrate a complete vendor integration. + +It is important to note that for custom models, each model connection requires a complete vendor credential. + +Unlike pre-defined models, a custom vendor integration always includes the following two parameters, which do not need to be defined in the vendor YAML file. + +![](images/index/image-3.png) + +As mentioned earlier, vendors do not need to implement validate_provider_credential. The runtime will automatically call the corresponding model layer's validate_credentials to validate the credentials based on the model type and name selected by the user. + +### Writing the Vendor YAML + +First, we need to identify the types of models supported by the vendor we are integrating. + +Currently supported model types are as follows: + +- `llm` Text Generation Models + +- `text_embedding` Text Embedding Models + +- `rerank` Rerank Models + +- `speech2text` Speech-to-Text + +- `tts` Text-to-Speech + +- `moderation` Moderation + +Xinference supports LLM, Text Embedding, and Rerank. So we will start by writing xinference.yaml. + +```yaml +provider: xinference #Define the vendor identifier +label: # Vendor display name, supports both en_US (English) and zh_Hans (Simplified Chinese). If zh_Hans is not set, it will use en_US by default. + en_US: Xorbits Inference +icon_small: # Small icon, refer to other vendors' icons stored in the _assets directory within the vendor implementation directory; follows the same language policy as the label + en_US: icon_s_en.svg +icon_large: # Large icon + en_US: icon_l_en.svg +help: # Help information + title: + en_US: How to deploy Xinference + zh_Hans: 如何部署 Xinference + url: + en_US: https://github.com/xorbitsai/inference +supported_model_types: # Supported model types. Xinference supports LLM, Text Embedding, and Rerank +- llm +- text-embedding +- rerank +configurate_methods: # Since Xinference is a locally deployed vendor with no predefined models, users need to deploy whatever models they need according to Xinference documentation. Thus, it only supports custom models. +- customizable-model +provider_credential_schema: + credential_form_schemas: +``` + + +Then, we need to determine what credentials are required to define a model in Xinference. + +- Since it supports three different types of models, we need to specify the model_type to denote the model type. Here is how we can define it: + +```yaml +provider_credential_schema: + credential_form_schemas: + - variable: model_type + type: select + label: + en_US: Model type + zh_Hans: 模型类型 + required: true + options: + - value: text-generation + label: + en_US: Language Model + zh_Hans: 语言模型 + - value: embeddings + label: + en_US: Text Embedding + - value: reranking + label: + en_US: Rerank +``` + +- Next, each model has its own model_name, so we need to define that here: + +```yaml + - variable: model_name + type: text-input + label: + en_US: Model name + zh_Hans: 模型名称 + required: true + placeholder: + zh_Hans: 填写模型名称 + en_US: Input model name +``` + +- Specify the Xinference local deployment address: + +```yaml + - variable: server_url + label: + zh_Hans: 服务器URL + en_US: Server url + type: text-input + required: true + placeholder: + zh_Hans: 在此输入Xinference的服务器地址，如 https://example.com/xxx + en_US: Enter the url of your Xinference, for example https://example.com/xxx +``` + +- Each model has a unique model_uid, so we also need to define that here: + +```yaml + - variable: model_uid + label: + zh_Hans: 模型UID + en_US: Model uid + type: text-input + required: true + placeholder: + zh_Hans: 在此输入您的Model UID + en_US: Enter the model uid +``` + +Now, we have completed the basic definition of the vendor. + +### Writing the Model Code + +Next, let's take the `llm` type as an example and write `xinference.llm.llm.py`. + +In `llm.py`, create a Xinference LLM class, we name it `XinferenceAILargeLanguageModel` (this can be arbitrary), inheriting from the `__base.large_language_model.LargeLanguageModel` base class, and implement the following methods: + +- LLM Invocation + +Implement the core method for LLM invocation, supporting both stream and synchronous responses. + +```python +def _invoke(self, model: str, credentials: dict, + prompt_messages: list[PromptMessage], model_parameters: dict, + tools: Optional[list[PromptMessageTool]] = None, stop: Optional[list[str]] = None, + stream: bool = True, user: Optional[str] = None) \ + -> Union[LLMResult, Generator]: + """ + Invoke large language model + + :param model: model name + :param credentials: model credentials + :param prompt_messages: prompt messages + :param model_parameters: model parameters + :param tools: tools for tool usage + :param stop: stop words + :param stream: is the response a stream + :param user: unique user id + :return: full response or stream response chunk generator result + """ +``` + +When implementing, ensure to use two functions to return data separately for synchronous and stream responses. This is important because Python treats functions containing the `yield` keyword as generator functions, mandating them to return `Generator` types. Here’s an example (note that the example uses simplified parameters; in real implementation, use the parameter list as defined above): + +```python +def _invoke(self, stream: bool, **kwargs) \ + -> Union[LLMResult, Generator]: + if stream: + return self._handle_stream_response(**kwargs) + return self._handle_sync_response(**kwargs) + +def _handle_stream_response(self, **kwargs) -> Generator: + for chunk in response: + yield chunk +def _handle_sync_response(self, **kwargs) -> LLMResult: + return LLMResult(**response) +``` + +- Pre-compute Input Tokens + +If the model does not provide an interface for pre-computing tokens, you can return 0 directly. + +```python +def get_num_tokens(self, model: str, credentials: dict, prompt_messages: list[PromptMessage],tools: Optional[list[PromptMessageTool]] = None) -> int: + """ + Get number of tokens for given prompt messages + + :param model: model name + :param credentials: model credentials + :param prompt_messages: prompt messages + :param tools: tools for tool usage + :return: token count + """ +``` + + +Sometimes, you might not want to return 0 directly. In such cases, you can use `self._get_num_tokens_by_gpt2(text: str)` to get pre-computed tokens. This method is provided by the `AIModel` base class, and it uses GPT2's Tokenizer for calculation. However, it should be noted that this is only a substitute and may not be fully accurate. + +- Model Credentials Validation + +Similar to vendor credentials validation, this method validates individual model credentials. + +```python +def validate_credentials(self, model: str, credentials: dict) -> None: + """ + Validate model credentials + + :param model: model name + :param credentials: model credentials + :return: None + """ +``` + +- Model Parameter Schema + +Unlike custom types, since the YAML file does not define which parameters a model supports, we need to dynamically generate the model parameter schema. + +For instance, Xinference supports `max_tokens`, `temperature`, and `top_p` parameters. + +However, some vendors may support different parameters for different models. For example, the `OpenLLM` vendor supports `top_k`, but not all models provided by this vendor support `top_k`. Let's say model A supports `top_k` but model B does not. In such cases, we need to dynamically generate the model parameter schema, as illustrated below: + +```python + def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity | None: + """ + used to define customizable model schema + """ + rules = [ + ParameterRule( + name='temperature', type=ParameterType.FLOAT, + use_template='temperature', + label=I18nObject( + zh_Hans='温度', en_US='Temperature' + ) + ), + ParameterRule( + name='top_p', type=ParameterType.FLOAT, + use_template='top_p', + label=I18nObject( + zh_Hans='Top P', en_US='Top P' + ) + ), + ParameterRule( + name='max_tokens', type=ParameterType.INT, + use_template='max_tokens', + min=1, + default=512, + label=I18nObject( + zh_Hans='最大生成长度', en_US='Max Tokens' + ) + ) + ] + + # if model is A, add top_k to rules + if model == 'A': + rules.append( + ParameterRule( + name='top_k', type=ParameterType.INT, + use_template='top_k', + min=1, + default=50, + label=I18nObject( + zh_Hans='Top K', en_US='Top K' + ) + ) + ) + + """ + some NOT IMPORTANT code here + """ + + entity = AIModelEntity( + model=model, + label=I18nObject( + en_US=model + ), + fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, + model_type=model_type, + model_properties={ + ModelPropertyKey.MODE: ModelType.LLM, + }, + parameter_rules=rules + ) + + return entity +``` + +- Exception Error Mapping + +When a model invocation error occurs, it should be mapped to the runtime's specified `InvokeError` type, enabling Dify to handle different errors appropriately. + +Runtime Errors: + +- `InvokeConnectionError` Connection error during invocation +- `InvokeServerUnavailableError` Service provider unavailable +- `InvokeRateLimitError` Rate limit reached +- `InvokeAuthorizationError` Authorization failure +- `InvokeBadRequestError` Invalid request parameters + +```python + @property + def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: + """ + Map model invoke error to unified error + The key is the error type thrown to the caller + The value is the error type thrown by the model, + which needs to be converted into a unified error type for the caller. + + :return: Invoke error mapping + """ +``` + +For interface method details, see: [Interfaces](./interfaces.md). 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Union[LLMResult, Generator]: + """ + Invoke large language model + + :param model: model name + :param credentials: model credentials + :param prompt_messages: prompt messages + :param model_parameters: model parameters + :param tools: tools for tool calling + :param stop: stop words + :param stream: is stream response + :param user: unique user id + :return: full response or stream response chunk generator result + """ +``` + +Ensure to use two functions for returning data, one for synchronous returns and the other for streaming returns, because Python identifies functions containing the `yield` keyword as generator functions, fixing the return type to `Generator`. Thus, synchronous and streaming returns need to be implemented separately, as shown below (note that the example uses simplified parameters, for actual implementation follow the above parameter list): + +```python + def _invoke(self, stream: bool, **kwargs) \ + -> Union[LLMResult, Generator]: + if stream: + return self._handle_stream_response(**kwargs) + return self._handle_sync_response(**kwargs) + + def _handle_stream_response(self, **kwargs) -> Generator: + for chunk in response: + yield chunk + def _handle_sync_response(self, **kwargs) -> LLMResult: + return LLMResult(**response) +``` + +- Pre-compute Input Tokens + +If the model does not provide an interface to precompute tokens, return 0 directly. + +```python + def get_num_tokens(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], + tools: Optional[list[PromptMessageTool]] = None) -> int: + """ + Get number of tokens for given prompt messages + + :param model: model name + :param credentials: model credentials + :param prompt_messages: prompt messages + :param tools: tools for tool calling + :return: + """ +``` + +- Validate Model Credentials + +Similar to vendor credential validation, but specific to a single model. + +```python + def validate_credentials(self, model: str, credentials: dict) -> None: + """ + Validate model credentials + + :param model: model name + :param credentials: model credentials + :return: + """ +``` + +- Map Invoke Errors + +When a model call fails, map it to a specific `InvokeError` type as required by Runtime, allowing Dify to handle different errors accordingly. + +Runtime Errors: + +- `InvokeConnectionError` Connection error + +- `InvokeServerUnavailableError` Service provider unavailable +- `InvokeRateLimitError` Rate limit reached +- `InvokeAuthorizationError` Authorization failed +- `InvokeBadRequestError` Parameter error + +```python + @property + def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: + """ + Map model invoke error to unified error + The key is the error type thrown to the caller + The value is the error type thrown by the model, + which needs to be converted into a unified error type for the caller. + + :return: Invoke error mapping + """ +``` + +For interface method explanations, see: [Interfaces](./interfaces.md). For detailed implementation, refer to: [llm.py](https://github.com/langgenius/dify-runtime/blob/main/lib/model_providers/anthropic/llm/llm.py). \ No newline at end of file diff --git a/api/core/model_runtime/docs/en_US/provider_scale_out.md b/api/core/model_runtime/docs/en_US/provider_scale_out.md index ba356c5cab63d0..07be5811d30137 100644 --- a/api/core/model_runtime/docs/en_US/provider_scale_out.md +++ b/api/core/model_runtime/docs/en_US/provider_scale_out.md @@ -58,7 +58,7 @@ provider_credential_schema: # Provider credential rules, as Anthropic only supp en_US: Enter your API URL ``` -You can also refer to the YAML configuration information under other provider directories in `model_providers`. The complete YAML rules are available at: [Schema](schema.md#Provider). +You can also refer to the YAML configuration information under other provider directories in `model_providers`. The complete YAML rules are available at: [Schema](schema.md#provider). ### Implementing Provider Code diff --git a/api/core/model_runtime/docs/zh_Hans/provider_scale_out.md b/api/core/model_runtime/docs/zh_Hans/provider_scale_out.md index b34544c789fa76..78aad8876f4b84 100644 --- a/api/core/model_runtime/docs/zh_Hans/provider_scale_out.md +++ b/api/core/model_runtime/docs/zh_Hans/provider_scale_out.md @@ -117,7 +117,7 @@ model_credential_schema: en_US: Enter your API Base ``` -也可以参考 `model_providers` 目录下其他供应商目录下的 YAML 配置信息，完整的 YAML 规则见：[Schema](schema.md#Provider)。 +也可以参考 `model_providers` 目录下其他供应商目录下的 YAML 配置信息，完整的 YAML 规则见：[Schema](schema.md#provider)。 #### 实现供应商代码 From fb49413a41fd22828fe306aadd2e2fea2648f6ec Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Sun, 29 Sep 2024 16:55:59 +0800 Subject: [PATCH 13/18] feat: add voyage ai as a new model provider (#8747) --- .../model_providers/_position.yaml | 1 + .../model_providers/voyage/__init__.py | 0 .../voyage/_assets/icon_l_en.svg | 21 +++ .../voyage/_assets/icon_s_en.svg | 8 + .../model_providers/voyage/rerank/__init__.py | 0 .../voyage/rerank/rerank-1.yaml | 4 + .../voyage/rerank/rerank-lite-1.yaml | 4 + .../model_providers/voyage/rerank/rerank.py | 123 +++++++++++++ .../voyage/text_embedding/__init__.py | 0 .../voyage/text_embedding/text_embedding.py | 172 ++++++++++++++++++ .../voyage/text_embedding/voyage-3-lite.yaml | 8 + .../voyage/text_embedding/voyage-3.yaml | 8 + .../model_providers/voyage/voyage.py | 28 +++ .../model_providers/voyage/voyage.yaml | 31 ++++ api/pyproject.toml | 1 + .../model_runtime/voyage/__init__.py | 0 .../model_runtime/voyage/test_provider.py | 25 +++ .../model_runtime/voyage/test_rerank.py | 92 ++++++++++ .../voyage/test_text_embedding.py | 70 +++++++ dev/pytest/pytest_model_runtime.sh | 3 +- 20 files changed, 598 insertions(+), 1 deletion(-) create mode 100644 api/core/model_runtime/model_providers/voyage/__init__.py create mode 100644 api/core/model_runtime/model_providers/voyage/_assets/icon_l_en.svg create mode 100644 api/core/model_runtime/model_providers/voyage/_assets/icon_s_en.svg create mode 100644 api/core/model_runtime/model_providers/voyage/rerank/__init__.py create mode 100644 api/core/model_runtime/model_providers/voyage/rerank/rerank-1.yaml create mode 100644 api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-1.yaml create mode 100644 api/core/model_runtime/model_providers/voyage/rerank/rerank.py create mode 100644 api/core/model_runtime/model_providers/voyage/text_embedding/__init__.py create mode 100644 api/core/model_runtime/model_providers/voyage/text_embedding/text_embedding.py create mode 100644 api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3-lite.yaml create mode 100644 api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3.yaml create mode 100644 api/core/model_runtime/model_providers/voyage/voyage.py create mode 100644 api/core/model_runtime/model_providers/voyage/voyage.yaml create mode 100644 api/tests/integration_tests/model_runtime/voyage/__init__.py create mode 100644 api/tests/integration_tests/model_runtime/voyage/test_provider.py create mode 100644 api/tests/integration_tests/model_runtime/voyage/test_rerank.py create mode 100644 api/tests/integration_tests/model_runtime/voyage/test_text_embedding.py diff --git a/api/core/model_runtime/model_providers/_position.yaml b/api/core/model_runtime/model_providers/_position.yaml index 80db22ea84fe63..89fccef6598fdd 100644 --- a/api/core/model_runtime/model_providers/_position.yaml +++ b/api/core/model_runtime/model_providers/_position.yaml @@ -40,3 +40,4 @@ - fireworks - mixedbread - nomic +- voyage diff --git a/api/core/model_runtime/model_providers/voyage/__init__.py b/api/core/model_runtime/model_providers/voyage/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/core/model_runtime/model_providers/voyage/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/voyage/_assets/icon_l_en.svg new file mode 100644 index 00000000000000..a961f5e4355eea --- /dev/null +++ b/api/core/model_runtime/model_providers/voyage/_assets/icon_l_en.svg @@ -0,0 +1,21 @@ + \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/voyage/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/voyage/_assets/icon_s_en.svg new file mode 100644 index 00000000000000..2c4e121dd71f0b --- /dev/null +++ b/api/core/model_runtime/model_providers/voyage/_assets/icon_s_en.svg @@ -0,0 +1,8 @@ + + + voyage + + + + + \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/voyage/rerank/__init__.py b/api/core/model_runtime/model_providers/voyage/rerank/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank-1.yaml b/api/core/model_runtime/model_providers/voyage/rerank/rerank-1.yaml new file mode 100644 index 00000000000000..9c894eda85203b --- /dev/null +++ b/api/core/model_runtime/model_providers/voyage/rerank/rerank-1.yaml @@ -0,0 +1,4 @@ +model: rerank-1 +model_type: rerank +model_properties: + context_size: 8000 diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-1.yaml b/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-1.yaml new file mode 100644 index 00000000000000..b052d6f00028cb --- /dev/null +++ b/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-1.yaml @@ -0,0 +1,4 @@ +model: rerank-lite-1 +model_type: rerank +model_properties: + context_size: 4000 diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank.py b/api/core/model_runtime/model_providers/voyage/rerank/rerank.py new file mode 100644 index 00000000000000..33fdebbb45ef36 --- /dev/null +++ b/api/core/model_runtime/model_providers/voyage/rerank/rerank.py @@ -0,0 +1,123 @@ +from typing import Optional + +import httpx + +from core.model_runtime.entities.common_entities import I18nObject +from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType +from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult +from core.model_runtime.errors.invoke import ( + InvokeAuthorizationError, + InvokeBadRequestError, + InvokeConnectionError, + InvokeError, + InvokeRateLimitError, + InvokeServerUnavailableError, +) +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.__base.rerank_model import RerankModel + + +class VoyageRerankModel(RerankModel): + """ + Model class for Voyage rerank model. + """ + + def _invoke( + self, + model: str, + credentials: dict, + query: str, + docs: list[str], + score_threshold: Optional[float] = None, + top_n: Optional[int] = None, + user: Optional[str] = None, + ) -> RerankResult: + """ + Invoke rerank model + :param model: model name + :param credentials: model credentials + :param query: search query + :param docs: docs for reranking + :param score_threshold: score threshold + :param top_n: top n documents to return + :param user: unique user id + :return: rerank result + """ + if len(docs) == 0: + return RerankResult(model=model, docs=[]) + + base_url = credentials.get("base_url", "https://api.voyageai.com/v1") + base_url = base_url.removesuffix("/") + + try: + response = httpx.post( + base_url + "/rerank", + json={"model": model, "query": query, "documents": docs, "top_k": top_n, "return_documents": True}, + headers={"Authorization": f"Bearer {credentials.get('api_key')}", "Content-Type": "application/json"}, + ) + response.raise_for_status() + results = response.json() + + rerank_documents = [] + for result in results["data"]: + rerank_document = RerankDocument( + index=result["index"], + text=result["document"], + score=result["relevance_score"], + ) + if score_threshold is None or result["relevance_score"] >= score_threshold: + rerank_documents.append(rerank_document) + + return RerankResult(model=model, docs=rerank_documents) + except httpx.HTTPStatusError as e: + raise InvokeServerUnavailableError(str(e)) + + def validate_credentials(self, model: str, credentials: dict) -> None: + """ + Validate model credentials + :param model: model name + :param credentials: model credentials + :return: + """ + try: + self._invoke( + model=model, + credentials=credentials, + query="What is the capital of the United States?", + docs=[ + "Carson City is the capital city of the American state of Nevada. At the 2010 United States " + "Census, Carson City had a population of 55,274.", + "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " + "are a political division controlled by the United States. Its capital is Saipan.", + ], + score_threshold=0.8, + ) + except Exception as ex: + raise CredentialsValidateFailedError(str(ex)) + + @property + def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: + """ + Map model invoke error to unified error + """ + return { + InvokeConnectionError: [httpx.ConnectError], + InvokeServerUnavailableError: [httpx.RemoteProtocolError], + InvokeRateLimitError: [], + InvokeAuthorizationError: [httpx.HTTPStatusError], + InvokeBadRequestError: [httpx.RequestError], + } + + def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: + """ + generate custom model entities from credentials + """ + entity = AIModelEntity( + model=model, + label=I18nObject(en_US=model), + model_type=ModelType.RERANK, + fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, + model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "8000"))}, + ) + + return entity diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/__init__.py b/api/core/model_runtime/model_providers/voyage/text_embedding/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/voyage/text_embedding/text_embedding.py new file mode 100644 index 00000000000000..a8a4d3c15bbb13 --- /dev/null +++ b/api/core/model_runtime/model_providers/voyage/text_embedding/text_embedding.py @@ -0,0 +1,172 @@ +import time +from json import JSONDecodeError, dumps +from typing import Optional + +import requests + +from core.embedding.embedding_constant import EmbeddingInputType +from core.model_runtime.entities.common_entities import I18nObject +from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType +from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult +from core.model_runtime.errors.invoke import ( + InvokeAuthorizationError, + InvokeBadRequestError, + InvokeConnectionError, + InvokeError, + InvokeRateLimitError, + InvokeServerUnavailableError, +) +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel + + +class VoyageTextEmbeddingModel(TextEmbeddingModel): + """ + Model class for Voyage text embedding model. + """ + + api_base: str = "https://api.voyageai.com/v1" + + def _invoke( + self, + model: str, + credentials: dict, + texts: list[str], + user: Optional[str] = None, + input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, + ) -> TextEmbeddingResult: + """ + Invoke text embedding model + + :param model: model name + :param credentials: model credentials + :param texts: texts to embed + :param user: unique user id + :param input_type: input type + :return: embeddings result + """ + api_key = credentials["api_key"] + if not api_key: + raise CredentialsValidateFailedError("api_key is required") + + base_url = credentials.get("base_url", self.api_base) + base_url = base_url.removesuffix("/") + + url = base_url + "/embeddings" + headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"} + voyage_input_type = "null" + if input_type is not None: + voyage_input_type = input_type.value + data = {"model": model, "input": texts, "input_type": voyage_input_type} + + try: + response = requests.post(url, headers=headers, data=dumps(data)) + except Exception as e: + raise InvokeConnectionError(str(e)) + + if response.status_code != 200: + try: + resp = response.json() + msg = resp["detail"] + if response.status_code == 401: + raise InvokeAuthorizationError(msg) + elif response.status_code == 429: + raise InvokeRateLimitError(msg) + elif response.status_code == 500: + raise InvokeServerUnavailableError(msg) + else: + raise InvokeBadRequestError(msg) + except JSONDecodeError as e: + raise InvokeServerUnavailableError( + f"Failed to convert response to json: {e} with text: {response.text}" + ) + + try: + resp = response.json() + embeddings = resp["data"] + usage = resp["usage"] + except Exception as e: + raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}") + + usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"]) + + result = TextEmbeddingResult( + model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage + ) + + return result + + def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: + """ + Get number of tokens for given prompt messages + + :param model: model name + :param credentials: model credentials + :param texts: texts to embed + :return: + """ + return sum(self._get_num_tokens_by_gpt2(text) for text in texts) + + def validate_credentials(self, model: str, credentials: dict) -> None: + """ + Validate model credentials + + :param model: model name + :param credentials: model credentials + :return: + """ + try: + self._invoke(model=model, credentials=credentials, texts=["ping"]) + except Exception as e: + raise CredentialsValidateFailedError(f"Credentials validation failed: {e}") + + @property + def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: + return { + InvokeConnectionError: [InvokeConnectionError], + InvokeServerUnavailableError: [InvokeServerUnavailableError], + InvokeRateLimitError: [InvokeRateLimitError], + InvokeAuthorizationError: [InvokeAuthorizationError], + InvokeBadRequestError: [KeyError, InvokeBadRequestError], + } + + def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: + """ + Calculate response usage + + :param model: model name + :param credentials: model credentials + :param tokens: input tokens + :return: usage + """ + # get input price info + input_price_info = self.get_price( + model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens + ) + + # transform usage + usage = EmbeddingUsage( + tokens=tokens, + total_tokens=tokens, + unit_price=input_price_info.unit_price, + price_unit=input_price_info.unit, + total_price=input_price_info.total_amount, + currency=input_price_info.currency, + latency=time.perf_counter() - self.started_at, + ) + + return usage + + def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: + """ + generate custom model entities from credentials + """ + entity = AIModelEntity( + model=model, + label=I18nObject(en_US=model), + model_type=ModelType.TEXT_EMBEDDING, + fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, + model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size"))}, + ) + + return entity diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3-lite.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3-lite.yaml new file mode 100644 index 00000000000000..a06bb7639feacd --- /dev/null +++ b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3-lite.yaml @@ -0,0 +1,8 @@ +model: voyage-3-lite +model_type: text-embedding +model_properties: + context_size: 32000 +pricing: + input: '0.00002' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3.yaml new file mode 100644 index 00000000000000..117afbcaf3c808 --- /dev/null +++ b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3.yaml @@ -0,0 +1,8 @@ +model: voyage-3 +model_type: text-embedding +model_properties: + context_size: 32000 +pricing: + input: '0.00006' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/voyage/voyage.py b/api/core/model_runtime/model_providers/voyage/voyage.py new file mode 100644 index 00000000000000..3e33b45e110d56 --- /dev/null +++ b/api/core/model_runtime/model_providers/voyage/voyage.py @@ -0,0 +1,28 @@ +import logging + +from core.model_runtime.entities.model_entities import ModelType +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.__base.model_provider import ModelProvider + +logger = logging.getLogger(__name__) + + +class VoyageProvider(ModelProvider): + def validate_provider_credentials(self, credentials: dict) -> None: + """ + Validate provider credentials + if validate failed, raise exception + + :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. + """ + try: + model_instance = self.get_model_instance(ModelType.TEXT_EMBEDDING) + + # Use `voyage-3` model for validate, + # no matter what model you pass in, text completion model or chat model + model_instance.validate_credentials(model="voyage-3", credentials=credentials) + except CredentialsValidateFailedError as ex: + raise ex + except Exception as ex: + logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") + raise ex diff --git a/api/core/model_runtime/model_providers/voyage/voyage.yaml b/api/core/model_runtime/model_providers/voyage/voyage.yaml new file mode 100644 index 00000000000000..c64707800eebe0 --- /dev/null +++ b/api/core/model_runtime/model_providers/voyage/voyage.yaml @@ -0,0 +1,31 @@ +provider: voyage +label: + en_US: Voyage +description: + en_US: Embedding and Rerank Model Supported +icon_small: + en_US: icon_s_en.svg +icon_large: + en_US: icon_l_en.svg +background: "#EFFDFD" +help: + title: + en_US: Get your API key from Voyage AI + zh_Hans: 从 Voyage 获取 API Key + url: + en_US: https://dash.voyageai.com/ +supported_model_types: + - text-embedding + - rerank +configurate_methods: + - predefined-model +provider_credential_schema: + credential_form_schemas: + - variable: api_key + label: + en_US: API Key + type: secret-input + required: true + placeholder: + zh_Hans: 在此输入您的 API Key + en_US: Enter your API Key diff --git a/api/pyproject.toml b/api/pyproject.toml index 64b35621b2ec60..e737761f3b2c0b 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -123,6 +123,7 @@ FIRECRAWL_API_KEY = "fc-" TEI_EMBEDDING_SERVER_URL = "http://a.abc.com:11451" TEI_RERANK_SERVER_URL = "http://a.abc.com:11451" MIXEDBREAD_API_KEY = "mk-aaaaaaaaaaaaaaaaaaaa" +VOYAGE_API_KEY = "va-aaaaaaaaaaaaaaaaaaaa" [tool.poetry] name = "dify-api" diff --git a/api/tests/integration_tests/model_runtime/voyage/__init__.py b/api/tests/integration_tests/model_runtime/voyage/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/tests/integration_tests/model_runtime/voyage/test_provider.py b/api/tests/integration_tests/model_runtime/voyage/test_provider.py new file mode 100644 index 00000000000000..08978c88a961e7 --- /dev/null +++ b/api/tests/integration_tests/model_runtime/voyage/test_provider.py @@ -0,0 +1,25 @@ +import os +from unittest.mock import Mock, patch + +import pytest + +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.voyage.voyage import VoyageProvider + + +def test_validate_provider_credentials(): + provider = VoyageProvider() + + with pytest.raises(CredentialsValidateFailedError): + provider.validate_provider_credentials(credentials={"api_key": "hahahaha"}) + with patch("requests.post") as mock_post: + mock_response = Mock() + mock_response.json.return_value = { + "object": "list", + "data": [{"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 0}], + "model": "voyage-3", + "usage": {"total_tokens": 1}, + } + mock_response.status_code = 200 + mock_post.return_value = mock_response + provider.validate_provider_credentials(credentials={"api_key": os.environ.get("VOYAGE_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/voyage/test_rerank.py b/api/tests/integration_tests/model_runtime/voyage/test_rerank.py new file mode 100644 index 00000000000000..e97a9e4c811c82 --- /dev/null +++ b/api/tests/integration_tests/model_runtime/voyage/test_rerank.py @@ -0,0 +1,92 @@ +import os +from unittest.mock import Mock, patch + +import pytest + +from core.model_runtime.entities.rerank_entities import RerankResult +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.voyage.rerank.rerank import VoyageRerankModel + + +def test_validate_credentials(): + model = VoyageRerankModel() + + with pytest.raises(CredentialsValidateFailedError): + model.validate_credentials( + model="rerank-lite-1", + credentials={"api_key": "invalid_key"}, + ) + with patch("httpx.post") as mock_post: + mock_response = Mock() + mock_response.json.return_value = { + "object": "list", + "data": [ + { + "relevance_score": 0.546875, + "index": 0, + "document": "Carson City is the capital city of the American state of Nevada. At the 2010 United " + "States Census, Carson City had a population of 55,274.", + }, + { + "relevance_score": 0.4765625, + "index": 1, + "document": "The Commonwealth of the Northern Mariana Islands is a group of islands in the " + "Pacific Ocean that are a political division controlled by the United States. Its " + "capital is Saipan.", + }, + ], + "model": "rerank-lite-1", + "usage": {"total_tokens": 96}, + } + mock_response.status_code = 200 + mock_post.return_value = mock_response + model.validate_credentials( + model="rerank-lite-1", + credentials={ + "api_key": os.environ.get("VOYAGE_API_KEY"), + }, + ) + + +def test_invoke_model(): + model = VoyageRerankModel() + with patch("httpx.post") as mock_post: + mock_response = Mock() + mock_response.json.return_value = { + "object": "list", + "data": [ + { + "relevance_score": 0.84375, + "index": 0, + "document": "Kasumi is a girl name of Japanese origin meaning mist.", + }, + { + "relevance_score": 0.4765625, + "index": 1, + "document": "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music and she " + "leads a team named PopiParty.", + }, + ], + "model": "rerank-lite-1", + "usage": {"total_tokens": 59}, + } + mock_response.status_code = 200 + mock_post.return_value = mock_response + result = model.invoke( + model="rerank-lite-1", + credentials={ + "api_key": os.environ.get("VOYAGE_API_KEY"), + }, + query="Who is Kasumi?", + docs=[ + "Kasumi is a girl name of Japanese origin meaning mist.", + "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music and she leads a team named " + "PopiParty.", + ], + score_threshold=0.5, + ) + + assert isinstance(result, RerankResult) + assert len(result.docs) == 1 + assert result.docs[0].index == 0 + assert result.docs[0].score >= 0.5 diff --git a/api/tests/integration_tests/model_runtime/voyage/test_text_embedding.py b/api/tests/integration_tests/model_runtime/voyage/test_text_embedding.py new file mode 100644 index 00000000000000..75719672a9ecc9 --- /dev/null +++ b/api/tests/integration_tests/model_runtime/voyage/test_text_embedding.py @@ -0,0 +1,70 @@ +import os +from unittest.mock import Mock, patch + +import pytest + +from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.voyage.text_embedding.text_embedding import VoyageTextEmbeddingModel + + +def test_validate_credentials(): + model = VoyageTextEmbeddingModel() + + with pytest.raises(CredentialsValidateFailedError): + model.validate_credentials(model="voyage-3", credentials={"api_key": "invalid_key"}) + with patch("requests.post") as mock_post: + mock_response = Mock() + mock_response.json.return_value = { + "object": "list", + "data": [{"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 0}], + "model": "voyage-3", + "usage": {"total_tokens": 1}, + } + mock_response.status_code = 200 + mock_post.return_value = mock_response + model.validate_credentials(model="voyage-3", credentials={"api_key": os.environ.get("VOYAGE_API_KEY")}) + + +def test_invoke_model(): + model = VoyageTextEmbeddingModel() + + with patch("requests.post") as mock_post: + mock_response = Mock() + mock_response.json.return_value = { + "object": "list", + "data": [ + {"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 0}, + {"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 1}, + ], + "model": "voyage-3", + "usage": {"total_tokens": 2}, + } + mock_response.status_code = 200 + mock_post.return_value = mock_response + result = model.invoke( + model="voyage-3", + credentials={ + "api_key": os.environ.get("VOYAGE_API_KEY"), + }, + texts=["hello", "world"], + user="abc-123", + ) + + assert isinstance(result, TextEmbeddingResult) + assert len(result.embeddings) == 2 + assert result.usage.total_tokens == 2 + + +def test_get_num_tokens(): + model = VoyageTextEmbeddingModel() + + num_tokens = model.get_num_tokens( + model="voyage-3", + credentials={ + "api_key": os.environ.get("VOYAGE_API_KEY"), + }, + texts=["ping"], + ) + + assert num_tokens == 1 diff --git a/dev/pytest/pytest_model_runtime.sh b/dev/pytest/pytest_model_runtime.sh index b60ff64fdcd901..63891eb9f8d13f 100755 --- a/dev/pytest/pytest_model_runtime.sh +++ b/dev/pytest/pytest_model_runtime.sh @@ -9,4 +9,5 @@ pytest api/tests/integration_tests/model_runtime/anthropic \ api/tests/integration_tests/model_runtime/upstage \ api/tests/integration_tests/model_runtime/fireworks \ api/tests/integration_tests/model_runtime/nomic \ - api/tests/integration_tests/model_runtime/mixedbread + api/tests/integration_tests/model_runtime/mixedbread \ + api/tests/integration_tests/model_runtime/voyage \ No newline at end of file From 369e1e6f58814929c7a236a482189f2ff4605570 Mon Sep 17 00:00:00 2001 From: Zhaofeng Miao <522856232@qq.com> Date: Mon, 30 Sep 2024 09:57:19 +0800 Subject: [PATCH 14/18] feat(website-crawl): add jina reader as additional alternative for website crawling (#8761) --- api/controllers/console/datasets/website.py | 6 +- api/core/rag/extractor/extract_processor.py | 10 + .../rag/extractor/jina_reader_extractor.py | 35 +++ api/services/auth/api_key_auth_factory.py | 3 + api/services/auth/jina.py | 44 ++++ api/services/website_service.py | 100 ++++++++ .../datasets/create/assets/jina.png | Bin 0 -> 2773 bytes web/app/components/datasets/create/index.tsx | 12 +- .../datasets/create/step-one/index.tsx | 11 +- .../datasets/create/step-two/index.tsx | 11 +- .../base/checkbox-with-label.tsx | 11 + .../crawled-result-item.tsx | 0 .../{firecrawl => base}/crawled-result.tsx | 2 +- .../website/{firecrawl => base}/crawling.tsx | 0 .../{firecrawl => }/base/error-message.tsx | 0 .../website/{firecrawl => }/base/field.tsx | 0 .../website/{firecrawl => }/base/input.tsx | 0 .../{firecrawl => base}/mock-crawl-result.ts | 0 .../{firecrawl => }/base/options-wrap.tsx | 0 .../{firecrawl => }/base/url-input.tsx | 0 .../create/website/firecrawl/index.tsx | 10 +- .../create/website/firecrawl/options.tsx | 4 +- .../datasets/create/website/index.module.css | 6 + .../datasets/create/website/index.tsx | 100 ++++++-- .../create/website/jina-reader/header.tsx | 42 ++++ .../create/website/jina-reader/index.tsx | 232 ++++++++++++++++++ .../create/website/jina-reader/options.tsx | 59 +++++ .../datasets/create/website/no-data.tsx | 45 +++- .../config-firecrawl-modal.tsx | 2 +- .../config-jina-reader-modal.tsx | 140 +++++++++++ .../data-source-website/index.tsx | 51 ++-- .../data-source-page/index.tsx | 4 +- .../data-source-page/panel/index.tsx | 5 +- web/i18n/en-US/dataset-creation.ts | 15 +- web/i18n/zh-Hans/dataset-creation.ts | 15 +- web/models/common.ts | 1 + web/models/datasets.ts | 1 + web/service/datasets.ts | 25 +- 38 files changed, 927 insertions(+), 75 deletions(-) create mode 100644 api/core/rag/extractor/jina_reader_extractor.py create mode 100644 api/services/auth/jina.py create mode 100644 web/app/components/datasets/create/assets/jina.png rename web/app/components/datasets/create/website/{firecrawl => }/base/checkbox-with-label.tsx (72%) rename web/app/components/datasets/create/website/{firecrawl => base}/crawled-result-item.tsx (100%) rename web/app/components/datasets/create/website/{firecrawl => base}/crawled-result.tsx (97%) rename web/app/components/datasets/create/website/{firecrawl => base}/crawling.tsx (100%) rename web/app/components/datasets/create/website/{firecrawl => }/base/error-message.tsx (100%) rename web/app/components/datasets/create/website/{firecrawl => }/base/field.tsx (100%) rename web/app/components/datasets/create/website/{firecrawl => }/base/input.tsx (100%) rename web/app/components/datasets/create/website/{firecrawl => base}/mock-crawl-result.ts (100%) rename web/app/components/datasets/create/website/{firecrawl => }/base/options-wrap.tsx (100%) rename web/app/components/datasets/create/website/{firecrawl => }/base/url-input.tsx (100%) create mode 100644 web/app/components/datasets/create/website/index.module.css create mode 100644 web/app/components/datasets/create/website/jina-reader/header.tsx create mode 100644 web/app/components/datasets/create/website/jina-reader/index.tsx create mode 100644 web/app/components/datasets/create/website/jina-reader/options.tsx create mode 100644 web/app/components/header/account-setting/data-source-page/data-source-website/config-jina-reader-modal.tsx diff --git a/api/controllers/console/datasets/website.py b/api/controllers/console/datasets/website.py index cb54f1aacbc2ab..e80ce17c6866aa 100644 --- a/api/controllers/console/datasets/website.py +++ b/api/controllers/console/datasets/website.py @@ -14,7 +14,9 @@ class WebsiteCrawlApi(Resource): @account_initialization_required def post(self): parser = reqparse.RequestParser() - parser.add_argument("provider", type=str, choices=["firecrawl"], required=True, nullable=True, location="json") + parser.add_argument( + "provider", type=str, choices=["firecrawl", "jinareader"], required=True, nullable=True, location="json" + ) parser.add_argument("url", type=str, required=True, nullable=True, location="json") parser.add_argument("options", type=dict, required=True, nullable=True, location="json") args = parser.parse_args() @@ -33,7 +35,7 @@ class WebsiteCrawlStatusApi(Resource): @account_initialization_required def get(self, job_id: str): parser = reqparse.RequestParser() - parser.add_argument("provider", type=str, choices=["firecrawl"], required=True, location="args") + parser.add_argument("provider", type=str, choices=["firecrawl", "jinareader"], required=True, location="args") args = parser.parse_args() # get crawl status try: diff --git a/api/core/rag/extractor/extract_processor.py b/api/core/rag/extractor/extract_processor.py index 0ffc89b214c2d9..9048138511b122 100644 --- a/api/core/rag/extractor/extract_processor.py +++ b/api/core/rag/extractor/extract_processor.py @@ -12,6 +12,7 @@ from core.rag.extractor.excel_extractor import ExcelExtractor from core.rag.extractor.firecrawl.firecrawl_web_extractor import FirecrawlWebExtractor from core.rag.extractor.html_extractor import HtmlExtractor +from core.rag.extractor.jina_reader_extractor import JinaReaderWebExtractor from core.rag.extractor.markdown_extractor import MarkdownExtractor from core.rag.extractor.notion_extractor import NotionExtractor from core.rag.extractor.pdf_extractor import PdfExtractor @@ -171,6 +172,15 @@ def extract( only_main_content=extract_setting.website_info.only_main_content, ) return extractor.extract() + elif extract_setting.website_info.provider == "jinareader": + extractor = JinaReaderWebExtractor( + url=extract_setting.website_info.url, + job_id=extract_setting.website_info.job_id, + tenant_id=extract_setting.website_info.tenant_id, + mode=extract_setting.website_info.mode, + only_main_content=extract_setting.website_info.only_main_content, + ) + return extractor.extract() else: raise ValueError(f"Unsupported website provider: {extract_setting.website_info.provider}") else: diff --git a/api/core/rag/extractor/jina_reader_extractor.py b/api/core/rag/extractor/jina_reader_extractor.py new file mode 100644 index 00000000000000..5b780af126b309 --- /dev/null +++ b/api/core/rag/extractor/jina_reader_extractor.py @@ -0,0 +1,35 @@ +from core.rag.extractor.extractor_base import BaseExtractor +from core.rag.models.document import Document +from services.website_service import WebsiteService + + +class JinaReaderWebExtractor(BaseExtractor): + """ + Crawl and scrape websites and return content in clean llm-ready markdown. + """ + + def __init__(self, url: str, job_id: str, tenant_id: str, mode: str = "crawl", only_main_content: bool = False): + """Initialize with url, api_key, base_url and mode.""" + self._url = url + self.job_id = job_id + self.tenant_id = tenant_id + self.mode = mode + self.only_main_content = only_main_content + + def extract(self) -> list[Document]: + """Extract content from the URL.""" + documents = [] + if self.mode == "crawl": + crawl_data = WebsiteService.get_crawl_url_data(self.job_id, "jinareader", self._url, self.tenant_id) + if crawl_data is None: + return [] + document = Document( + page_content=crawl_data.get("content", ""), + metadata={ + "source_url": crawl_data.get("url"), + "description": crawl_data.get("description"), + "title": crawl_data.get("title"), + }, + ) + documents.append(document) + return documents diff --git a/api/services/auth/api_key_auth_factory.py b/api/services/auth/api_key_auth_factory.py index ae5b953b47f589..36387e9c2efdb2 100644 --- a/api/services/auth/api_key_auth_factory.py +++ b/api/services/auth/api_key_auth_factory.py @@ -1,10 +1,13 @@ from services.auth.firecrawl import FirecrawlAuth +from services.auth.jina import JinaAuth class ApiKeyAuthFactory: def __init__(self, provider: str, credentials: dict): if provider == "firecrawl": self.auth = FirecrawlAuth(credentials) + elif provider == "jinareader": + self.auth = JinaAuth(credentials) else: raise ValueError("Invalid provider") diff --git a/api/services/auth/jina.py b/api/services/auth/jina.py new file mode 100644 index 00000000000000..de898a1f94b763 --- /dev/null +++ b/api/services/auth/jina.py @@ -0,0 +1,44 @@ +import json + +import requests + +from services.auth.api_key_auth_base import ApiKeyAuthBase + + +class JinaAuth(ApiKeyAuthBase): + def __init__(self, credentials: dict): + super().__init__(credentials) + auth_type = credentials.get("auth_type") + if auth_type != "bearer": + raise ValueError("Invalid auth type, Jina Reader auth type must be Bearer") + self.api_key = credentials.get("config").get("api_key", None) + + if not self.api_key: + raise ValueError("No API key provided") + + def validate_credentials(self): + headers = self._prepare_headers() + options = { + "url": "https://example.com", + } + response = self._post_request("https://r.jina.ai", options, headers) + if response.status_code == 200: + return True + else: + self._handle_error(response) + + def _prepare_headers(self): + return {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"} + + def _post_request(self, url, data, headers): + return requests.post(url, headers=headers, json=data) + + def _handle_error(self, response): + if response.status_code in {402, 409, 500}: + error_message = response.json().get("error", "Unknown error occurred") + raise Exception(f"Failed to authorize. Status code: {response.status_code}. Error: {error_message}") + else: + if response.text: + error_message = json.loads(response.text).get("error", "Unknown error occurred") + raise Exception(f"Failed to authorize. Status code: {response.status_code}. Error: {error_message}") + raise Exception(f"Unexpected error occurred while trying to authorize. Status code: {response.status_code}") diff --git a/api/services/website_service.py b/api/services/website_service.py index fea605cf30b410..be01815720ab57 100644 --- a/api/services/website_service.py +++ b/api/services/website_service.py @@ -1,6 +1,7 @@ import datetime import json +import requests from flask_login import current_user from core.helper import encrypter @@ -65,6 +66,35 @@ def crawl_url(cls, args: dict) -> dict: time = str(datetime.datetime.now().timestamp()) redis_client.setex(website_crawl_time_cache_key, 3600, time) return {"status": "active", "job_id": job_id} + elif provider == "jinareader": + api_key = encrypter.decrypt_token( + tenant_id=current_user.current_tenant_id, token=credentials.get("config").get("api_key") + ) + crawl_sub_pages = options.get("crawl_sub_pages", False) + if not crawl_sub_pages: + response = requests.get( + f"https://r.jina.ai/{url}", + headers={"Accept": "application/json", "Authorization": f"Bearer {api_key}"}, + ) + if response.json().get("code") != 200: + raise ValueError("Failed to crawl") + return {"status": "active", "data": response.json().get("data")} + else: + response = requests.post( + "https://adaptivecrawl-kir3wx7b3a-uc.a.run.app", + json={ + "url": url, + "maxPages": options.get("limit", 1), + "useSitemap": options.get("use_sitemap", True), + }, + headers={ + "Content-Type": "application/json", + "Authorization": f"Bearer {api_key}", + }, + ) + if response.json().get("code") != 200: + raise ValueError("Failed to crawl") + return {"status": "active", "job_id": response.json().get("data", {}).get("taskId")} else: raise ValueError("Invalid provider") @@ -93,6 +123,42 @@ def get_crawl_status(cls, job_id: str, provider: str) -> dict: time_consuming = abs(end_time - float(start_time)) crawl_status_data["time_consuming"] = f"{time_consuming:.2f}" redis_client.delete(website_crawl_time_cache_key) + elif provider == "jinareader": + api_key = encrypter.decrypt_token( + tenant_id=current_user.current_tenant_id, token=credentials.get("config").get("api_key") + ) + response = requests.post( + "https://adaptivecrawlstatus-kir3wx7b3a-uc.a.run.app", + headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}, + json={"taskId": job_id}, + ) + data = response.json().get("data", {}) + crawl_status_data = { + "status": data.get("status", "active"), + "job_id": job_id, + "total": len(data.get("urls", [])), + "current": len(data.get("processed", [])) + len(data.get("failed", [])), + "data": [], + "time_consuming": data.get("duration", 0) / 1000, + } + + if crawl_status_data["status"] == "completed": + response = requests.post( + "https://adaptivecrawlstatus-kir3wx7b3a-uc.a.run.app", + headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}, + json={"taskId": job_id, "urls": list(data.get("processed", {}).keys())}, + ) + data = response.json().get("data", {}) + formatted_data = [ + { + "title": item.get("data", {}).get("title"), + "source_url": item.get("data", {}).get("url"), + "description": item.get("data", {}).get("description"), + "markdown": item.get("data", {}).get("content"), + } + for item in data.get("processed", {}).values() + ] + crawl_status_data["data"] = formatted_data else: raise ValueError("Invalid provider") return crawl_status_data @@ -119,6 +185,40 @@ def get_crawl_url_data(cls, job_id: str, provider: str, url: str, tenant_id: str if item.get("source_url") == url: return item return None + elif provider == "jinareader": + file_key = "website_files/" + job_id + ".txt" + if storage.exists(file_key): + data = storage.load_once(file_key) + if data: + data = json.loads(data.decode("utf-8")) + elif not job_id: + response = requests.get( + f"https://r.jina.ai/{url}", + headers={"Accept": "application/json", "Authorization": f"Bearer {api_key}"}, + ) + if response.json().get("code") != 200: + raise ValueError("Failed to crawl") + return response.json().get("data") + else: + api_key = encrypter.decrypt_token(tenant_id=tenant_id, token=credentials.get("config").get("api_key")) + response = requests.post( + "https://adaptivecrawlstatus-kir3wx7b3a-uc.a.run.app", + headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}, + json={"taskId": job_id}, + ) + data = response.json().get("data", {}) + if data.get("status") != "completed": + raise ValueError("Crawl job is not completed") + + response = requests.post( + "https://adaptivecrawlstatus-kir3wx7b3a-uc.a.run.app", + headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}, + json={"taskId": job_id, "urls": list(data.get("processed", {}).keys())}, + ) + data = response.json().get("data", {}) + for item in data.get("processed", {}).values(): + if item.get("data", {}).get("url") == url: + return item.get("data", {}) else: raise ValueError("Invalid provider") diff --git a/web/app/components/datasets/create/assets/jina.png 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DatasetUpdateForm = ({ datasetId }: DatasetUpdateFormProps) => { const updateFileList = (preparedFiles: FileItem[]) => { setFiles(preparedFiles) } - const [fireCrawlJobId, setFireCrawlJobId] = useState('') + const [websiteCrawlProvider, setWebsiteCrawlProvider] = useState(DataSourceProvider.fireCrawl) + const [websiteCrawlJobId, setWebsiteCrawlJobId] = useState('') const updateFile = (fileItem: FileItem, progress: number, list: FileItem[]) => { const targetIndex = list.findIndex(file => file.fileID === fileItem.fileID) @@ -137,7 +139,8 @@ const DatasetUpdateForm = ({ datasetId }: DatasetUpdateFormProps) => { onStepChange={nextStep} websitePages={websitePages} updateWebsitePages={setWebsitePages} - onFireCrawlJobIdChange={setFireCrawlJobId} + onWebsiteCrawlProviderChange={setWebsiteCrawlProvider} + onWebsiteCrawlJobIdChange={setWebsiteCrawlJobId} crawlOptions={crawlOptions} onCrawlOptionsChange={setCrawlOptions} /> @@ -151,7 +154,8 @@ const DatasetUpdateForm = ({ datasetId }: DatasetUpdateFormProps) => { files={fileList.map(file => file.file)} notionPages={notionPages} websitePages={websitePages} - fireCrawlJobId={fireCrawlJobId} + websiteCrawlProvider={websiteCrawlProvider} + websiteCrawlJobId={websiteCrawlJobId} onStepChange={changeStep} updateIndexingTypeCache={updateIndexingTypeCache} updateResultCache={updateResultCache} diff --git a/web/app/components/datasets/create/step-one/index.tsx b/web/app/components/datasets/create/step-one/index.tsx index c2d77f4cecdcc8..643932e9ae21d5 100644 --- a/web/app/components/datasets/create/step-one/index.tsx +++ b/web/app/components/datasets/create/step-one/index.tsx @@ -10,7 +10,7 @@ import WebsitePreview from '../website/preview' import s from './index.module.css' import cn from '@/utils/classnames' import type { CrawlOptions, CrawlResultItem, FileItem } from '@/models/datasets' -import type { NotionPage } from '@/models/common' +import type { DataSourceProvider, NotionPage } from '@/models/common' import { DataSourceType } from '@/models/datasets' import Button from '@/app/components/base/button' import { NotionPageSelector } from '@/app/components/base/notion-page-selector' @@ -33,7 +33,8 @@ type IStepOneProps = { changeType: (type: DataSourceType) => void websitePages?: CrawlResultItem[] updateWebsitePages: (value: CrawlResultItem[]) => void - onFireCrawlJobIdChange: (jobId: string) => void + onWebsiteCrawlProviderChange: (provider: DataSourceProvider) => void + onWebsiteCrawlJobIdChange: (jobId: string) => void crawlOptions: CrawlOptions onCrawlOptionsChange: (payload: CrawlOptions) => void } @@ -69,7 +70,8 @@ const StepOne = ({ updateNotionPages, websitePages = [], updateWebsitePages, - onFireCrawlJobIdChange, + onWebsiteCrawlProviderChange, + onWebsiteCrawlJobIdChange, crawlOptions, onCrawlOptionsChange, }: IStepOneProps) => { @@ -229,7 +231,8 @@ const StepOne = ({ onPreview={setCurrentWebsite} checkedCrawlResult={websitePages} onCheckedCrawlResultChange={updateWebsitePages} - onJobIdChange={onFireCrawlJobIdChange} + onCrawlProviderChange={onWebsiteCrawlProviderChange} + onJobIdChange={onWebsiteCrawlJobIdChange} crawlOptions={crawlOptions} onCrawlOptionsChange={onCrawlOptionsChange} /> diff --git a/web/app/components/datasets/create/step-two/index.tsx b/web/app/components/datasets/create/step-two/index.tsx index f4fc58ee2a2d87..ee01652de8dd2d 100644 --- a/web/app/components/datasets/create/step-two/index.tsx +++ b/web/app/components/datasets/create/step-two/index.tsx @@ -33,6 +33,7 @@ import { ensureRerankModelSelected, isReRankModelSelected } from '@/app/componen import Toast from '@/app/components/base/toast' import { formatNumber } from '@/utils/format' import type { NotionPage } from '@/models/common' +import { DataSourceProvider } from '@/models/common' import { DataSourceType, DocForm } from '@/models/datasets' import NotionIcon from '@/app/components/base/notion-icon' import Switch from '@/app/components/base/switch' @@ -63,7 +64,8 @@ type StepTwoProps = { notionPages?: NotionPage[] websitePages?: CrawlResultItem[] crawlOptions?: CrawlOptions - fireCrawlJobId?: string + websiteCrawlProvider?: DataSourceProvider + websiteCrawlJobId?: string onStepChange?: (delta: number) => void updateIndexingTypeCache?: (type: string) => void updateResultCache?: (res: createDocumentResponse) => void @@ -94,7 +96,8 @@ const StepTwo = ({ notionPages = [], websitePages = [], crawlOptions, - fireCrawlJobId = '', + websiteCrawlProvider = DataSourceProvider.fireCrawl, + websiteCrawlJobId = '', onStepChange, updateIndexingTypeCache, updateResultCache, @@ -260,8 +263,8 @@ const StepTwo = ({ const getWebsiteInfo = () => { return { - provider: 'firecrawl', - job_id: fireCrawlJobId, + provider: websiteCrawlProvider, + job_id: websiteCrawlJobId, urls: websitePages.map(page => page.source_url), only_main_content: crawlOptions?.only_main_content, } diff --git a/web/app/components/datasets/create/website/firecrawl/base/checkbox-with-label.tsx b/web/app/components/datasets/create/website/base/checkbox-with-label.tsx similarity index 72% rename from web/app/components/datasets/create/website/firecrawl/base/checkbox-with-label.tsx rename to web/app/components/datasets/create/website/base/checkbox-with-label.tsx index 5c574ebe3e6195..25d40fe0763dab 100644 --- a/web/app/components/datasets/create/website/firecrawl/base/checkbox-with-label.tsx +++ b/web/app/components/datasets/create/website/base/checkbox-with-label.tsx @@ -3,6 +3,7 @@ import type { FC } from 'react' import React from 'react' import cn from '@/utils/classnames' import Checkbox from '@/app/components/base/checkbox' +import Tooltip from '@/app/components/base/tooltip' type Props = { className?: string @@ -10,6 +11,7 @@ type Props = { onChange: (isChecked: boolean) => void label: string labelClassName?: string + tooltip?: string } const CheckboxWithLabel: FC = ({ @@ -18,11 +20,20 @@ const CheckboxWithLabel: FC = ({ onChange, label, labelClassName, + tooltip, }) => { return (

+ {tooltip && ( + {tooltip} + } + triggerClassName='ml-0.5 w-4 h-4' + /> + )} ) } diff --git a/web/app/components/datasets/create/website/firecrawl/crawled-result-item.tsx b/web/app/components/datasets/create/website/base/crawled-result-item.tsx similarity index 100% rename from web/app/components/datasets/create/website/firecrawl/crawled-result-item.tsx rename to web/app/components/datasets/create/website/base/crawled-result-item.tsx diff --git a/web/app/components/datasets/create/website/firecrawl/crawled-result.tsx b/web/app/components/datasets/create/website/base/crawled-result.tsx similarity index 97% rename from web/app/components/datasets/create/website/firecrawl/crawled-result.tsx rename to web/app/components/datasets/create/website/base/crawled-result.tsx index 2bd51e4d731a95..d5c8d1b80a5a19 100644 --- a/web/app/components/datasets/create/website/firecrawl/crawled-result.tsx +++ b/web/app/components/datasets/create/website/base/crawled-result.tsx @@ -2,7 +2,7 @@ import type { FC } from 'react' import React, { useCallback } from 'react' import { useTranslation } from 'react-i18next' -import CheckboxWithLabel from './base/checkbox-with-label' +import CheckboxWithLabel from './checkbox-with-label' import CrawledResultItem from './crawled-result-item' import cn from '@/utils/classnames' import type { CrawlResultItem } from '@/models/datasets' diff --git a/web/app/components/datasets/create/website/firecrawl/crawling.tsx b/web/app/components/datasets/create/website/base/crawling.tsx similarity index 100% rename from web/app/components/datasets/create/website/firecrawl/crawling.tsx rename to web/app/components/datasets/create/website/base/crawling.tsx diff --git a/web/app/components/datasets/create/website/firecrawl/base/error-message.tsx b/web/app/components/datasets/create/website/base/error-message.tsx similarity index 100% rename from web/app/components/datasets/create/website/firecrawl/base/error-message.tsx rename to web/app/components/datasets/create/website/base/error-message.tsx diff --git a/web/app/components/datasets/create/website/firecrawl/base/field.tsx b/web/app/components/datasets/create/website/base/field.tsx similarity index 100% rename from web/app/components/datasets/create/website/firecrawl/base/field.tsx rename to web/app/components/datasets/create/website/base/field.tsx diff --git a/web/app/components/datasets/create/website/firecrawl/base/input.tsx b/web/app/components/datasets/create/website/base/input.tsx similarity index 100% rename from web/app/components/datasets/create/website/firecrawl/base/input.tsx rename to web/app/components/datasets/create/website/base/input.tsx diff --git a/web/app/components/datasets/create/website/firecrawl/mock-crawl-result.ts b/web/app/components/datasets/create/website/base/mock-crawl-result.ts similarity index 100% rename from web/app/components/datasets/create/website/firecrawl/mock-crawl-result.ts rename to web/app/components/datasets/create/website/base/mock-crawl-result.ts diff --git a/web/app/components/datasets/create/website/firecrawl/base/options-wrap.tsx b/web/app/components/datasets/create/website/base/options-wrap.tsx similarity index 100% rename from web/app/components/datasets/create/website/firecrawl/base/options-wrap.tsx rename to web/app/components/datasets/create/website/base/options-wrap.tsx diff --git a/web/app/components/datasets/create/website/firecrawl/base/url-input.tsx b/web/app/components/datasets/create/website/base/url-input.tsx similarity index 100% rename from web/app/components/datasets/create/website/firecrawl/base/url-input.tsx rename to web/app/components/datasets/create/website/base/url-input.tsx diff --git a/web/app/components/datasets/create/website/firecrawl/index.tsx b/web/app/components/datasets/create/website/firecrawl/index.tsx index de4f8bb1293447..aa4dffc174315f 100644 --- a/web/app/components/datasets/create/website/firecrawl/index.tsx +++ b/web/app/components/datasets/create/website/firecrawl/index.tsx @@ -2,13 +2,13 @@ import type { FC } from 'react' import React, { useCallback, useEffect, useState } from 'react' import { useTranslation } from 'react-i18next' +import UrlInput from '../base/url-input' +import OptionsWrap from '../base/options-wrap' +import CrawledResult from '../base/crawled-result' +import Crawling from '../base/crawling' +import ErrorMessage from '../base/error-message' import Header from './header' -import UrlInput from './base/url-input' -import OptionsWrap from './base/options-wrap' import Options from './options' -import CrawledResult from './crawled-result' -import Crawling from './crawling' -import ErrorMessage from './base/error-message' import cn from '@/utils/classnames' import { useModalContext } from '@/context/modal-context' import type { CrawlOptions, CrawlResultItem } from '@/models/datasets' diff --git a/web/app/components/datasets/create/website/firecrawl/options.tsx b/web/app/components/datasets/create/website/firecrawl/options.tsx index 20cc4f073fe43b..8cc2c6757c9615 100644 --- a/web/app/components/datasets/create/website/firecrawl/options.tsx +++ b/web/app/components/datasets/create/website/firecrawl/options.tsx @@ -2,8 +2,8 @@ import type { FC } from 'react' import React, { useCallback } from 'react' import { useTranslation } from 'react-i18next' -import CheckboxWithLabel from './base/checkbox-with-label' -import Field from './base/field' +import CheckboxWithLabel from '../base/checkbox-with-label' +import Field from '../base/field' import cn from '@/utils/classnames' import type { CrawlOptions } from '@/models/datasets' diff --git a/web/app/components/datasets/create/website/index.module.css b/web/app/components/datasets/create/website/index.module.css new file mode 100644 index 00000000000000..abaab4bea4b7a1 --- /dev/null +++ b/web/app/components/datasets/create/website/index.module.css @@ -0,0 +1,6 @@ +.jinaLogo { + @apply w-4 h-4 bg-center bg-no-repeat inline-block; + background-color: #F5FAFF; + background-image: url(../assets/jina.png); + background-size: 16px; +} diff --git a/web/app/components/datasets/create/website/index.tsx b/web/app/components/datasets/create/website/index.tsx index e06fbb4a1210b6..58b7f5f2fd77bd 100644 --- a/web/app/components/datasets/create/website/index.tsx +++ b/web/app/components/datasets/create/website/index.tsx @@ -1,8 +1,12 @@ 'use client' import type { FC } from 'react' import React, { useCallback, useEffect, useState } from 'react' +import { useTranslation } from 'react-i18next' +import s from './index.module.css' import NoData from './no-data' import Firecrawl from './firecrawl' +import JinaReader from './jina-reader' +import cn from '@/utils/classnames' import { useModalContext } from '@/context/modal-context' import type { CrawlOptions, CrawlResultItem } from '@/models/datasets' import { fetchDataSources } from '@/service/datasets' @@ -12,6 +16,7 @@ type Props = { onPreview: (payload: CrawlResultItem) => void checkedCrawlResult: CrawlResultItem[] onCheckedCrawlResultChange: (payload: CrawlResultItem[]) => void + onCrawlProviderChange: (provider: DataSourceProvider) => void onJobIdChange: (jobId: string) => void crawlOptions: CrawlOptions onCrawlOptionsChange: (payload: CrawlOptions) => void @@ -21,17 +26,32 @@ const Website: FC = ({ onPreview, checkedCrawlResult, onCheckedCrawlResultChange, + onCrawlProviderChange, onJobIdChange, crawlOptions, onCrawlOptionsChange, }) => { + const { t } = useTranslation() const { setShowAccountSettingModal } = useModalContext() const [isLoaded, setIsLoaded] = useState(false) - const [isSetFirecrawlApiKey, setIsSetFirecrawlApiKey] = useState(false) + const [selectedProvider, setSelectedProvider] = useState(DataSourceProvider.jinaReader) + const [sources, setSources] = useState([]) + + useEffect(() => { + onCrawlProviderChange(selectedProvider) + }, [selectedProvider, onCrawlProviderChange]) + const checkSetApiKey = useCallback(async () => { const res = await fetchDataSources() as any - const isFirecrawlSet = res.sources.some((item: DataSourceItem) => item.provider === DataSourceProvider.fireCrawl) - setIsSetFirecrawlApiKey(isFirecrawlSet) + setSources(res.sources) + + // If users have configured one of the providers, select it. + const availableProviders = res.sources.filter((item: DataSourceItem) => + [DataSourceProvider.jinaReader, DataSourceProvider.fireCrawl].includes(item.provider), + ) + + if (availableProviders.length > 0) + setSelectedProvider(availableProviders[0].provider) }, []) useEffect(() => { @@ -52,20 +72,66 @@ const Website: FC = ({ return (
- {isSetFirecrawlApiKey - ? ( - - ) - : ( - - )} +
+
+ {t('datasetCreation.stepOne.website.chooseProvider')} +
+
+ + +
+
+ + { + selectedProvider === DataSourceProvider.fireCrawl + ? sources.find(source => source.provider === DataSourceProvider.fireCrawl) + ? ( + + ) + : ( + + ) + : sources.find(source => source.provider === DataSourceProvider.jinaReader) + ? ( + + ) + : ( + + ) + }
) } diff --git a/web/app/components/datasets/create/website/jina-reader/header.tsx b/web/app/components/datasets/create/website/jina-reader/header.tsx new file mode 100644 index 00000000000000..85014a30ee2b12 --- /dev/null +++ b/web/app/components/datasets/create/website/jina-reader/header.tsx @@ -0,0 +1,42 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import { useTranslation } from 'react-i18next' +import { Settings01 } from '@/app/components/base/icons/src/vender/line/general' +import { BookOpen01 } from '@/app/components/base/icons/src/vender/line/education' + +const I18N_PREFIX = 'datasetCreation.stepOne.website' + +type Props = { + onSetting: () => void +} + +const Header: FC = ({ + onSetting, +}) => { + const { t } = useTranslation() + + return ( + + ) +} +export default React.memo(Header) diff --git a/web/app/components/datasets/create/website/jina-reader/index.tsx b/web/app/components/datasets/create/website/jina-reader/index.tsx new file mode 100644 index 00000000000000..51d77d712140b7 --- /dev/null +++ b/web/app/components/datasets/create/website/jina-reader/index.tsx @@ -0,0 +1,232 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback, useEffect, useState } from 'react' +import { useTranslation } from 'react-i18next' +import UrlInput from '../base/url-input' +import OptionsWrap from '../base/options-wrap' +import CrawledResult from '../base/crawled-result' +import Crawling from '../base/crawling' +import ErrorMessage from '../base/error-message' +import Header from './header' +import Options from './options' +import cn from '@/utils/classnames' +import { useModalContext } from '@/context/modal-context' +import Toast from '@/app/components/base/toast' +import { checkJinaReaderTaskStatus, createJinaReaderTask } from '@/service/datasets' +import { sleep } from '@/utils' +import type { CrawlOptions, CrawlResultItem } from '@/models/datasets' + +const ERROR_I18N_PREFIX = 'common.errorMsg' +const I18N_PREFIX = 'datasetCreation.stepOne.website' + +type Props = { + onPreview: (payload: CrawlResultItem) => void + checkedCrawlResult: CrawlResultItem[] + onCheckedCrawlResultChange: (payload: CrawlResultItem[]) => void + onJobIdChange: (jobId: string) => void + crawlOptions: CrawlOptions + onCrawlOptionsChange: (payload: CrawlOptions) => void +} + +enum Step { + init = 'init', + running = 'running', + finished = 'finished', +} + +const JinaReader: FC = ({ + onPreview, + checkedCrawlResult, + onCheckedCrawlResultChange, + onJobIdChange, + crawlOptions, + onCrawlOptionsChange, +}) => { + const { t } = useTranslation() + const [step, setStep] = useState(Step.init) + const [controlFoldOptions, setControlFoldOptions] = useState(0) + useEffect(() => { + if (step !== Step.init) + setControlFoldOptions(Date.now()) + }, [step]) + const { setShowAccountSettingModal } = useModalContext() + const handleSetting = useCallback(() => { + setShowAccountSettingModal({ + payload: 'data-source', + }) + }, [setShowAccountSettingModal]) + + const checkValid = useCallback((url: string) => { + let errorMsg = '' + if (!url) { + errorMsg = t(`${ERROR_I18N_PREFIX}.fieldRequired`, { + field: 'url', + }) + } + + if (!errorMsg && !((url.startsWith('http://') || url.startsWith('https://')))) + errorMsg = t(`${ERROR_I18N_PREFIX}.urlError`) + + if (!errorMsg && (crawlOptions.limit === null || crawlOptions.limit === undefined || crawlOptions.limit === '')) { + errorMsg = t(`${ERROR_I18N_PREFIX}.fieldRequired`, { + field: t(`${I18N_PREFIX}.limit`), + }) + } + + return { + isValid: !errorMsg, + errorMsg, + } + }, [crawlOptions, t]) + + const isInit = step === Step.init + const isCrawlFinished = step === Step.finished + const isRunning = step === Step.running + const [crawlResult, setCrawlResult] = useState<{ + current: number + total: number + data: CrawlResultItem[] + time_consuming: number | string + } | undefined>(undefined) + const [crawlErrorMessage, setCrawlErrorMessage] = useState('') + const showError = isCrawlFinished && crawlErrorMessage + + const waitForCrawlFinished = useCallback(async (jobId: string) => { + try { + const res = await checkJinaReaderTaskStatus(jobId) as any + console.log('res', res) + if (res.status === 'completed') { + return { + isError: false, + data: { + ...res, + total: Math.min(res.total, parseFloat(crawlOptions.limit as string)), + }, + } + } + if (res.status === 'failed' || !res.status) { + return { + isError: true, + errorMessage: res.message, + data: { + data: [], + }, + } + } + // update the progress + setCrawlResult({ + ...res, + total: Math.min(res.total, parseFloat(crawlOptions.limit as string)), + }) + onCheckedCrawlResultChange(res.data || []) // default select the crawl result + await sleep(2500) + return await waitForCrawlFinished(jobId) + } + catch (e: any) { + const errorBody = await e.json() + return { + isError: true, + errorMessage: errorBody.message, + data: { + data: [], + }, + } + } + }, [crawlOptions.limit]) + + const handleRun = useCallback(async (url: string) => { + const { isValid, errorMsg } = checkValid(url) + if (!isValid) { + Toast.notify({ + message: errorMsg!, + type: 'error', + }) + return + } + setStep(Step.running) + try { + const startTime = Date.now() + const res = await createJinaReaderTask({ + url, + options: crawlOptions, + }) as any + + if (res.data) { + const data = { + current: 1, + total: 1, + data: [{ + title: res.data.title, + markdown: res.data.content, + description: res.data.description, + source_url: res.data.url, + }], + time_consuming: (Date.now() - startTime) / 1000, + } + setCrawlResult(data) + onCheckedCrawlResultChange(data.data || []) + setCrawlErrorMessage('') + } + else if (res.job_id) { + const jobId = res.job_id + onJobIdChange(jobId) + const { isError, data, errorMessage } = await waitForCrawlFinished(jobId) + if (isError) { + setCrawlErrorMessage(errorMessage || t(`${I18N_PREFIX}.unknownError`)) + } + else { + setCrawlResult(data) + onCheckedCrawlResultChange(data.data || []) // default select the crawl result + setCrawlErrorMessage('') + } + } + } + catch (e) { + setCrawlErrorMessage(t(`${I18N_PREFIX}.unknownError`)!) + console.log(e) + } + finally { + setStep(Step.finished) + } + }, [checkValid, crawlOptions, onJobIdChange, t, waitForCrawlFinished]) + + return ( +
+
+
+ + + + + + {!isInit && ( +
+ {isRunning + && } + {showError && ( + + )} + {isCrawlFinished && !showError + && + } +
+ )} +
+
+ ) +} +export default React.memo(JinaReader) diff --git a/web/app/components/datasets/create/website/jina-reader/options.tsx b/web/app/components/datasets/create/website/jina-reader/options.tsx new file mode 100644 index 00000000000000..52cfaa8b3b40f3 --- /dev/null +++ b/web/app/components/datasets/create/website/jina-reader/options.tsx @@ -0,0 +1,59 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback } from 'react' +import { useTranslation } from 'react-i18next' +import CheckboxWithLabel from '../base/checkbox-with-label' +import Field from '../base/field' +import cn from '@/utils/classnames' +import type { CrawlOptions } from '@/models/datasets' + +const I18N_PREFIX = 'datasetCreation.stepOne.website' + +type Props = { + className?: string + payload: CrawlOptions + onChange: (payload: CrawlOptions) => void +} + +const Options: FC = ({ + className = '', + payload, + onChange, +}) => { + const { t } = useTranslation() + + const handleChange = useCallback((key: keyof CrawlOptions) => { + return (value: any) => { + onChange({ + ...payload, + [key]: value, + }) + } + }, [payload, onChange]) + return ( +
+ + +
+ +
+
+ ) +} +export default React.memo(Options) diff --git a/web/app/components/datasets/create/website/no-data.tsx b/web/app/components/datasets/create/website/no-data.tsx index 13e5ee7dfbd508..8a508a48c6bb8e 100644 --- a/web/app/components/datasets/create/website/no-data.tsx +++ b/web/app/components/datasets/create/website/no-data.tsx @@ -2,35 +2,56 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' +import s from './index.module.css' import { Icon3Dots } from '@/app/components/base/icons/src/vender/line/others' import Button from '@/app/components/base/button' +import { DataSourceProvider } from '@/models/common' const I18N_PREFIX = 'datasetCreation.stepOne.website' type Props = { onConfig: () => void + provider: DataSourceProvider } const NoData: FC = ({ onConfig, + provider, }) => { const { t } = useTranslation() + const providerConfig = { + [DataSourceProvider.jinaReader]: { + emoji: , + title: t(`${I18N_PREFIX}.jinaReaderNotConfigured`), + description: t(`${I18N_PREFIX}.jinaReaderNotConfiguredDescription`), + }, + [DataSourceProvider.fireCrawl]: { + emoji: '🔥', + title: t(`${I18N_PREFIX}.fireCrawlNotConfigured`), + description: t(`${I18N_PREFIX}.fireCrawlNotConfiguredDescription`), + }, + } + + const currentProvider = providerConfig[provider] + return ( -
-
- 🔥 -
-
- {t(`${I18N_PREFIX}.fireCrawlNotConfigured`)} -
- {t(`${I18N_PREFIX}.fireCrawlNotConfiguredDescription`)} + <> +
+
+ {currentProvider.emoji} +
+
+ {currentProvider.title} +
+ {currentProvider.description} +
+
- -
+ ) } export default React.memo(NoData) diff --git a/web/app/components/header/account-setting/data-source-page/data-source-website/config-firecrawl-modal.tsx b/web/app/components/header/account-setting/data-source-page/data-source-website/config-firecrawl-modal.tsx index d68fc79b0d5a78..a4a8b9b63722bd 100644 --- a/web/app/components/header/account-setting/data-source-page/data-source-website/config-firecrawl-modal.tsx +++ b/web/app/components/header/account-setting/data-source-page/data-source-website/config-firecrawl-modal.tsx @@ -9,7 +9,7 @@ import { import { Lock01 } from '@/app/components/base/icons/src/vender/solid/security' import Button from '@/app/components/base/button' import type { FirecrawlConfig } from '@/models/common' -import Field from '@/app/components/datasets/create/website/firecrawl/base/field' +import Field from '@/app/components/datasets/create/website/base/field' import Toast from '@/app/components/base/toast' import { createDataSourceApiKeyBinding } from '@/service/datasets' import { LinkExternal02 } from '@/app/components/base/icons/src/vender/line/general' diff --git a/web/app/components/header/account-setting/data-source-page/data-source-website/config-jina-reader-modal.tsx b/web/app/components/header/account-setting/data-source-page/data-source-website/config-jina-reader-modal.tsx new file mode 100644 index 00000000000000..c6d6ad02565cb3 --- /dev/null +++ b/web/app/components/header/account-setting/data-source-page/data-source-website/config-jina-reader-modal.tsx @@ -0,0 +1,140 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { + PortalToFollowElem, + PortalToFollowElemContent, +} from '@/app/components/base/portal-to-follow-elem' +import { Lock01 } from '@/app/components/base/icons/src/vender/solid/security' +import Button from '@/app/components/base/button' +import { DataSourceProvider } from '@/models/common' +import Field from '@/app/components/datasets/create/website/base/field' +import Toast from '@/app/components/base/toast' +import { createDataSourceApiKeyBinding } from '@/service/datasets' +import { LinkExternal02 } from '@/app/components/base/icons/src/vender/line/general' +type Props = { + onCancel: () => void + onSaved: () => void +} + +const I18N_PREFIX = 'datasetCreation.jinaReader' + +const ConfigJinaReaderModal: FC = ({ + onCancel, + onSaved, +}) => { + const { t } = useTranslation() + const [isSaving, setIsSaving] = useState(false) + const [apiKey, setApiKey] = useState('') + + const handleSave = useCallback(async () => { + if (isSaving) + return + let errorMsg = '' + if (!errorMsg) { + if (!apiKey) { + errorMsg = t('common.errorMsg.fieldRequired', { + field: 'API Key', + }) + } + } + + if (errorMsg) { + Toast.notify({ + type: 'error', + message: errorMsg, + }) + return + } + const postData = { + category: 'website', + provider: DataSourceProvider.jinaReader, + credentials: { + auth_type: 'bearer', + config: { + api_key: apiKey, + }, + }, + } + try { + setIsSaving(true) + await createDataSourceApiKeyBinding(postData) + Toast.notify({ + type: 'success', + message: t('common.api.success'), + }) + } + finally { + setIsSaving(false) + } + + onSaved() + }, [apiKey, onSaved, t, isSaving]) + + return ( + + +
+
+
+
+
{t(`${I18N_PREFIX}.configJinaReader`)}
+
+ +
+ setApiKey(value as string)} + placeholder={t(`${I18N_PREFIX}.apiKeyPlaceholder`)!} + /> +
+
+ + {t(`${I18N_PREFIX}.getApiKeyLinkText`)} + + +
+ + +
+ +
+
+
+
+ + {t('common.modelProvider.encrypted.front')} + + PKCS1_OAEP + + {t('common.modelProvider.encrypted.back')} +
+
+
+
+ + + ) +} +export default React.memo(ConfigJinaReaderModal) diff --git a/web/app/components/header/account-setting/data-source-page/data-source-website/index.tsx b/web/app/components/header/account-setting/data-source-page/data-source-website/index.tsx index 21f7660ef1dd16..628510c5dd3871 100644 --- a/web/app/components/header/account-setting/data-source-page/data-source-website/index.tsx +++ b/web/app/components/header/account-setting/data-source-page/data-source-website/index.tsx @@ -2,11 +2,12 @@ import type { FC } from 'react' import React, { useCallback, useEffect, useState } from 'react' import { useTranslation } from 'react-i18next' -import { useBoolean } from 'ahooks' import Panel from '../panel' import { DataSourceType } from '../panel/types' import ConfigFirecrawlModal from './config-firecrawl-modal' +import ConfigJinaReaderModal from './config-jina-reader-modal' import cn from '@/utils/classnames' +import s from '@/app/components/datasets/create/website/index.module.css' import { fetchDataSources, removeDataSourceApiKeyBinding } from '@/service/datasets' import type { @@ -19,9 +20,11 @@ import { } from '@/models/common' import Toast from '@/app/components/base/toast' -type Props = {} +type Props = { + provider: DataSourceProvider +} -const DataSourceWebsite: FC = () => { +const DataSourceWebsite: FC = ({ provider }) => { const { t } = useTranslation() const { isCurrentWorkspaceManager } = useAppContext() const [sources, setSources] = useState([]) @@ -36,22 +39,26 @@ const DataSourceWebsite: FC = () => { // eslint-disable-next-line react-hooks/exhaustive-deps }, []) - const [isShowConfig, { - setTrue: showConfig, - setFalse: hideConfig, - }] = useBoolean(false) + const [configTarget, setConfigTarget] = useState(null) + const showConfig = useCallback((provider: DataSourceProvider) => { + setConfigTarget(provider) + }, [setConfigTarget]) + + const hideConfig = useCallback(() => { + setConfigTarget(null) + }, [setConfigTarget]) const handleAdded = useCallback(() => { checkSetApiKey() hideConfig() }, [checkSetApiKey, hideConfig]) - const getIdByProvider = (provider: string): string | undefined => { + const getIdByProvider = (provider: DataSourceProvider): string | undefined => { const source = sources.find(item => item.provider === provider) return source?.id } - const handleRemove = useCallback((provider: string) => { + const handleRemove = useCallback((provider: DataSourceProvider) => { return async () => { const dataSourceId = getIdByProvider(provider) if (dataSourceId) { @@ -69,22 +76,34 @@ const DataSourceWebsite: FC = () => { <> 0} - onConfigure={showConfig} + provider={provider} + isConfigured={sources.find(item => item.provider === provider) !== undefined} + onConfigure={() => showConfig(provider)} readOnly={!isCurrentWorkspaceManager} - configuredList={sources.map(item => ({ + configuredList={sources.filter(item => item.provider === provider).map(item => ({ id: item.id, logo: ({ className }: { className: string }) => ( -
🔥
+ item.provider === DataSourceProvider.fireCrawl + ? ( +
🔥
+ ) + : ( +
+ +
+ ) ), - name: 'Firecrawl', + name: item.provider === DataSourceProvider.fireCrawl ? 'Firecrawl' : 'Jina Reader', isActive: true, }))} - onRemove={handleRemove(DataSourceProvider.fireCrawl)} + onRemove={handleRemove(provider)} /> - {isShowConfig && ( + {configTarget === DataSourceProvider.fireCrawl && ( )} + {configTarget === DataSourceProvider.jinaReader && ( + + )} ) diff --git a/web/app/components/header/account-setting/data-source-page/index.tsx b/web/app/components/header/account-setting/data-source-page/index.tsx index ede83152b223e1..c3da977ca4e203 100644 --- a/web/app/components/header/account-setting/data-source-page/index.tsx +++ b/web/app/components/header/account-setting/data-source-page/index.tsx @@ -3,6 +3,7 @@ import { useTranslation } from 'react-i18next' import DataSourceNotion from './data-source-notion' import DataSourceWebsite from './data-source-website' import { fetchDataSource } from '@/service/common' +import { DataSourceProvider } from '@/models/common' export default function DataSourcePage() { const { t } = useTranslation() @@ -13,7 +14,8 @@ export default function DataSourcePage() {
{t('common.dataSource.add')}
- + +
) } diff --git a/web/app/components/header/account-setting/data-source-page/panel/index.tsx b/web/app/components/header/account-setting/data-source-page/panel/index.tsx index 988aedcaf74767..4a810020b440ed 100644 --- a/web/app/components/header/account-setting/data-source-page/panel/index.tsx +++ b/web/app/components/header/account-setting/data-source-page/panel/index.tsx @@ -8,10 +8,12 @@ import ConfigItem from './config-item' import s from './style.module.css' import { DataSourceType } from './types' +import { DataSourceProvider } from '@/models/common' import cn from '@/utils/classnames' type Props = { type: DataSourceType + provider: DataSourceProvider isConfigured: boolean onConfigure: () => void readOnly: boolean @@ -25,6 +27,7 @@ type Props = { const Panel: FC = ({ type, + provider, isConfigured, onConfigure, readOnly, @@ -46,7 +49,7 @@ const Panel: FC = ({
{t(`common.dataSource.${type}.title`)}
{isWebsite && (
- {t('common.dataSource.website.with')} 🔥 Firecrawl + {t('common.dataSource.website.with')} { provider === DataSourceProvider.fireCrawl ? '🔥 Firecrawl' : 'Jina Reader'}
)}
diff --git a/web/i18n/en-US/dataset-creation.ts b/web/i18n/en-US/dataset-creation.ts index 32f9d596ca6ac9..1849b12757f9da 100644 --- a/web/i18n/en-US/dataset-creation.ts +++ b/web/i18n/en-US/dataset-creation.ts @@ -16,6 +16,11 @@ const translation = { apiKeyPlaceholder: 'API key from firecrawl.dev', getApiKeyLinkText: 'Get your API key from firecrawl.dev', }, + jinaReader: { + configJinaReader: 'Configure Jina Reader', + apiKeyPlaceholder: 'API key from jina.ai', + getApiKeyLinkText: 'Get your free API key at jina.ai', + }, stepOne: { filePreview: 'File Preview', pagePreview: 'Page Preview', @@ -56,13 +61,21 @@ const translation = { failed: 'Creation failed', }, website: { + chooseProvider: 'Select a provider', fireCrawlNotConfigured: 'Firecrawl is not configured', fireCrawlNotConfiguredDescription: 'Configure Firecrawl with API key to use it.', + jinaReaderNotConfigured: 'Jina Reader is not configured', + jinaReaderNotConfiguredDescription: 'Set up Jina Reader by entering your free API key for access.', configure: 'Configure', run: 'Run', firecrawlTitle: 'Extract web content with 🔥Firecrawl', firecrawlDoc: 'Firecrawl docs', firecrawlDocLink: 'https://docs.dify.ai/guides/knowledge-base/sync-from-website', + jinaReaderTitle: 'Convert the entire site to Markdown', + jinaReaderDoc: 'Learn more about Jina Reader', + jinaReaderDocLink: 'https://jina.ai/reader', + useSitemap: 'Use sitemap', + useSitemapTooltip: 'Follow the sitemap to crawl the site. If not, Jina Reader will crawl iteratively based on page relevance, yielding fewer but higher-quality pages.', options: 'Options', crawlSubPage: 'Crawl sub-pages', limit: 'Limit', @@ -70,7 +83,7 @@ const translation = { excludePaths: 'Exclude paths', includeOnlyPaths: 'Include only paths', extractOnlyMainContent: 'Extract only main content (no headers, navs, footers, etc.)', - exceptionErrorTitle: 'An exception occurred while running Firecrawl job:', + exceptionErrorTitle: 'An exception occurred while running crawling job:', unknownError: 'Unknown error', totalPageScraped: 'Total pages scraped:', selectAll: 'Select All', diff --git a/web/i18n/zh-Hans/dataset-creation.ts b/web/i18n/zh-Hans/dataset-creation.ts index 78f51707918773..4f6786a1919b03 100644 --- a/web/i18n/zh-Hans/dataset-creation.ts +++ b/web/i18n/zh-Hans/dataset-creation.ts @@ -16,6 +16,11 @@ const translation = { apiKeyPlaceholder: '从 firecrawl.dev 获取 API Key', getApiKeyLinkText: '从 firecrawl.dev 获取您的 API Key', }, + jinaReader: { + configJinaReader: '配置 Jina Reader', + apiKeyPlaceholder: '从 jina.ai 获取 API Key', + getApiKeyLinkText: '从 jina.ai 获取您的免费 API Key', + }, stepOne: { filePreview: '文件预览', pagePreview: '页面预览', @@ -56,13 +61,21 @@ const translation = { failed: '创建失败', }, website: { + chooseProvider: '选择工具', fireCrawlNotConfigured: 'Firecrawl 未配置', fireCrawlNotConfiguredDescription: '请配置 Firecrawl 的 API 密钥以使用它。', + jinaReaderNotConfigured: 'Jina Reader 未配置', + jinaReaderNotConfiguredDescription: '请配置 Jina Reader 的免费 API 密钥以访问它。', configure: '配置', run: '运行', firecrawlTitle: '使用 🔥Firecrawl 提取网页内容', firecrawlDoc: 'Firecrawl 文档', firecrawlDocLink: 'https://docs.dify.ai/v/zh-hans/guides/knowledge-base/sync-from-website', + jinaReaderTitle: '将整个站点内容转换为 Markdown 格式', + jinaReaderDoc: '了解更多关于 Jina Reader', + jinaReaderDocLink: 'https://jina.ai/reader', + useSitemap: '使用 sitemap', + useSitemapTooltip: '根据 sitemap 爬取站点。否则，Jina Reader 将基于页面相关性迭代爬取，抓取较少的页面，但质量更高。', options: '选项', crawlSubPage: '爬取子页面', limit: '限制数量', @@ -70,7 +83,7 @@ const translation = { excludePaths: '排除路径', includeOnlyPaths: '仅包含路径', extractOnlyMainContent: '仅提取主要内容（无标题、导航、页脚等）', - exceptionErrorTitle: '运行 Firecrawl 时发生异常:', + exceptionErrorTitle: '运行时发生异常:', unknownError: '未知错误', totalPageScraped: '抓取页面总数:', selectAll: '全选', diff --git a/web/models/common.ts b/web/models/common.ts index 78f09bee09649f..204e89ed9b6b7a 100644 --- a/web/models/common.ts +++ b/web/models/common.ts @@ -177,6 +177,7 @@ export enum DataSourceCategory { } export enum DataSourceProvider { fireCrawl = 'firecrawl', + jinaReader = 'jinareader', } export type FirecrawlConfig = { diff --git a/web/models/datasets.ts b/web/models/datasets.ts index 23d1fe6136b85e..9358f6fcb9fb44 100644 --- a/web/models/datasets.ts +++ b/web/models/datasets.ts @@ -49,6 +49,7 @@ export type CrawlOptions = { excludes: string limit: number | string max_depth: number | string + use_sitemap: boolean } export type CrawlResultItem = { diff --git a/web/service/datasets.ts b/web/service/datasets.ts index 4ca269a7d6e212..689ac7c4035f1c 100644 --- a/web/service/datasets.ts +++ b/web/service/datasets.ts @@ -23,7 +23,7 @@ import type { SegmentsResponse, createDocumentResponse, } from '@/models/datasets' -import type { CommonResponse, DataSourceNotionWorkspace } from '@/models/common' +import { type CommonResponse, type DataSourceNotionWorkspace, DataSourceProvider } from '@/models/common' import type { ApiKeysListResponse, CreateApiKeyResponse, @@ -253,7 +253,7 @@ export const createFirecrawlTask: Fetcher> = return post('website/crawl', { body: { ...body, - provider: 'firecrawl', + provider: DataSourceProvider.fireCrawl, }, }) } @@ -261,7 +261,26 @@ export const createFirecrawlTask: Fetcher> = export const checkFirecrawlTaskStatus: Fetcher = (jobId: string) => { return get(`website/crawl/status/${jobId}`, { params: { - provider: 'firecrawl', + provider: DataSourceProvider.fireCrawl, + }, + }, { + silent: true, + }) +} + +export const createJinaReaderTask: Fetcher> = (body) => { + return post('website/crawl', { + body: { + ...body, + provider: DataSourceProvider.jinaReader, + }, + }) +} + +export const checkJinaReaderTaskStatus: Fetcher = (jobId: string) => { + return get(`website/crawl/status/${jobId}`, { + params: { + provider: 'jinareader', }, }, { silent: true, From 3af65b2f452ae765cde4916507350b8c59ea2aea Mon Sep 17 00:00:00 2001 From: -LAN- Date: Mon, 30 Sep 2024 11:12:26 +0800 Subject: [PATCH 15/18] feat(api): add version comparison logic (#8902) --- api/controllers/console/version.py | 49 +++++++++++++++++-- .../controllers/test_compare_versions.py | 38 ++++++++++++++ 2 files changed, 83 insertions(+), 4 deletions(-) create mode 100644 api/tests/unit_tests/controllers/test_compare_versions.py diff --git a/api/controllers/console/version.py b/api/controllers/console/version.py index 76adbfe6a9d6cf..deda1a0d02730b 100644 --- a/api/controllers/console/version.py +++ b/api/controllers/console/version.py @@ -38,11 +38,52 @@ def get(self): return result content = json.loads(response.content) - result["version"] = content["version"] - result["release_date"] = content["releaseDate"] - result["release_notes"] = content["releaseNotes"] - result["can_auto_update"] = content["canAutoUpdate"] + if _has_new_version(latest_version=content["version"], current_version=f"{args.get('current_version')}"): + result["version"] = content["version"] + result["release_date"] = content["releaseDate"] + result["release_notes"] = content["releaseNotes"] + result["can_auto_update"] = content["canAutoUpdate"] return result +def _has_new_version(*, latest_version: str, current_version: str) -> bool: + def parse_version(version: str) -> tuple: + # Split version into parts and pre-release suffix if any + parts = version.split("-") + version_parts = parts[0].split(".") + pre_release = parts[1] if len(parts) > 1 else None + + # Validate version format + if len(version_parts) != 3: + raise ValueError(f"Invalid version format: {version}") + + try: + # Convert version parts to integers + major, minor, patch = map(int, version_parts) + return (major, minor, patch, pre_release) + except ValueError: + raise ValueError(f"Invalid version format: {version}") + + latest = parse_version(latest_version) + current = parse_version(current_version) + + # Compare major, minor, and patch versions + for latest_part, current_part in zip(latest[:3], current[:3]): + if latest_part > current_part: + return True + elif latest_part < current_part: + return False + + # If versions are equal, check pre-release suffixes + if latest[3] is None and current[3] is not None: + return True + elif latest[3] is not None and current[3] is None: + return False + elif latest[3] is not None and current[3] is not None: + # Simple string comparison for pre-release versions + return latest[3] > current[3] + + return False + + api.add_resource(VersionApi, "/version") diff --git a/api/tests/unit_tests/controllers/test_compare_versions.py b/api/tests/unit_tests/controllers/test_compare_versions.py new file mode 100644 index 00000000000000..87902b6d44e66b --- /dev/null +++ b/api/tests/unit_tests/controllers/test_compare_versions.py @@ -0,0 +1,38 @@ +import pytest + +from controllers.console.version import _has_new_version + + +@pytest.mark.parametrize( + ("latest_version", "current_version", "expected"), + [ + ("1.0.1", "1.0.0", True), + ("1.1.0", "1.0.0", True), + ("2.0.0", "1.9.9", True), + ("1.0.0", "1.0.0", False), + ("1.0.0", "1.0.1", False), + ("1.0.0", "2.0.0", False), + ("1.0.1", "1.0.0-beta", True), + ("1.0.0", "1.0.0-alpha", True), + ("1.0.0-beta", "1.0.0-alpha", True), + ("1.0.0", "1.0.0-rc1", True), + ("1.0.0", "0.9.9", True), + ("1.0.0", "1.0.0-dev", True), + ], +) +def test_has_new_version(latest_version, current_version, expected): + assert _has_new_version(latest_version=latest_version, current_version=current_version) == expected + + +def test_has_new_version_invalid_input(): + with pytest.raises(ValueError): + _has_new_version(latest_version="1.0", current_version="1.0.0") + + with pytest.raises(ValueError): + _has_new_version(latest_version="1.0.0", current_version="1.0") + + with pytest.raises(ValueError): + _has_new_version(latest_version="invalid", current_version="1.0.0") + + with pytest.raises(ValueError): + _has_new_version(latest_version="1.0.0", current_version="invalid") From ada9d408ac66bc8775d0a2c72568c43666946b1a Mon Sep 17 00:00:00 2001 From: -LAN- Date: Mon, 30 Sep 2024 12:48:58 +0800 Subject: [PATCH 16/18] refactor(api/variables): VariableError as a ValueError. (#8554) --- api/core/app/segments/exc.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/core/app/segments/exc.py b/api/core/app/segments/exc.py index d15d6d500ffa4a..5cf67c3baccacc 100644 --- a/api/core/app/segments/exc.py +++ b/api/core/app/segments/exc.py @@ -1,2 +1,2 @@ -class VariableError(Exception): +class VariableError(ValueError): pass From 503561f464c50a9a8469614603407f8accfd025f Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Mon, 30 Sep 2024 12:52:18 +0800 Subject: [PATCH 17/18] fix: fix the data validation consistency issue in keyword content review (#8908) --- api/core/moderation/keywords/keywords.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/api/core/moderation/keywords/keywords.py b/api/core/moderation/keywords/keywords.py index dc6a7ec5644a78..4846da8f93076e 100644 --- a/api/core/moderation/keywords/keywords.py +++ b/api/core/moderation/keywords/keywords.py @@ -18,8 +18,12 @@ def validate_config(cls, tenant_id: str, config: dict) -> None: if not config.get("keywords"): raise ValueError("keywords is required") - if len(config.get("keywords")) > 1000: - raise ValueError("keywords length must be less than 1000") + if len(config.get("keywords")) > 10000: + raise ValueError("keywords length must be less than 10000") + + keywords_row_len = config["keywords"].split("\n") + if len(keywords_row_len) > 100: + raise ValueError("the number of rows for the keywords must be less than 100") def moderation_for_inputs(self, inputs: dict, query: str = "") -> ModerationInputsResult: flagged = False From 77aef9ff1db220dfbab5da6e48061051b98b7cbd Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Mon, 30 Sep 2024 12:55:01 +0800 Subject: [PATCH 18/18] refactor: optimize the calculation of rerank threshold and the logic for forbidden characters in model_uid (#8879) --- .../model_providers/xinference/llm/llm.py | 3 ++- .../model_providers/xinference/rerank/rerank.py | 8 +++----- .../xinference/speech2text/speech2text.py | 3 ++- .../xinference/text_embedding/text_embedding.py | 4 ++-- .../model_providers/xinference/tts/tts.py | 4 ++-- .../model_providers/xinference/xinference_helper.py | 13 +++++++++++++ 6 files changed, 24 insertions(+), 11 deletions(-) diff --git a/api/core/model_runtime/model_providers/xinference/llm/llm.py b/api/core/model_runtime/model_providers/xinference/llm/llm.py index 286640079b02a9..0c9d08679ad046 100644 --- a/api/core/model_runtime/model_providers/xinference/llm/llm.py +++ b/api/core/model_runtime/model_providers/xinference/llm/llm.py @@ -59,6 +59,7 @@ from core.model_runtime.model_providers.xinference.xinference_helper import ( XinferenceHelper, XinferenceModelExtraParameter, + validate_model_uid, ) from core.model_runtime.utils import helper @@ -114,7 +115,7 @@ def validate_credentials(self, model: str, credentials: dict) -> None: } """ try: - if "/" in credentials["model_uid"] or "?" in credentials["model_uid"] or "#" in credentials["model_uid"]: + if not validate_model_uid(credentials): raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #") extra_param = XinferenceHelper.get_xinference_extra_parameter( diff --git a/api/core/model_runtime/model_providers/xinference/rerank/rerank.py b/api/core/model_runtime/model_providers/xinference/rerank/rerank.py index 8f18bc42d2339d..6368cd76dc97bf 100644 --- a/api/core/model_runtime/model_providers/xinference/rerank/rerank.py +++ b/api/core/model_runtime/model_providers/xinference/rerank/rerank.py @@ -15,6 +15,7 @@ ) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.rerank_model import RerankModel +from core.model_runtime.model_providers.xinference.xinference_helper import validate_model_uid class XinferenceRerankModel(RerankModel): @@ -77,10 +78,7 @@ def _invoke( ) # score threshold check - if score_threshold is not None: - if result["relevance_score"] >= score_threshold: - rerank_documents.append(rerank_document) - else: + if score_threshold is None or result["relevance_score"] >= score_threshold: rerank_documents.append(rerank_document) return RerankResult(model=model, docs=rerank_documents) @@ -94,7 +92,7 @@ def validate_credentials(self, model: str, credentials: dict) -> None: :return: """ try: - if "/" in credentials["model_uid"] or "?" in credentials["model_uid"] or "#" in credentials["model_uid"]: + if not validate_model_uid(credentials): raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #") credentials["server_url"] = credentials["server_url"].removesuffix("/") diff --git a/api/core/model_runtime/model_providers/xinference/speech2text/speech2text.py b/api/core/model_runtime/model_providers/xinference/speech2text/speech2text.py index a6c5b8a0a571e9..c5ad38391185a9 100644 --- a/api/core/model_runtime/model_providers/xinference/speech2text/speech2text.py +++ b/api/core/model_runtime/model_providers/xinference/speech2text/speech2text.py @@ -14,6 +14,7 @@ ) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel +from core.model_runtime.model_providers.xinference.xinference_helper import validate_model_uid class XinferenceSpeech2TextModel(Speech2TextModel): @@ -42,7 +43,7 @@ def validate_credentials(self, model: str, credentials: dict) -> None: :return: """ try: - if "/" in credentials["model_uid"] or "?" in credentials["model_uid"] or "#" in credentials["model_uid"]: + if not validate_model_uid(credentials): raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #") credentials["server_url"] = credentials["server_url"].removesuffix("/") diff --git a/api/core/model_runtime/model_providers/xinference/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/xinference/text_embedding/text_embedding.py index 16272391320d55..ddc21b365c1b78 100644 --- a/api/core/model_runtime/model_providers/xinference/text_embedding/text_embedding.py +++ b/api/core/model_runtime/model_providers/xinference/text_embedding/text_embedding.py @@ -17,7 +17,7 @@ ) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.xinference.xinference_helper import XinferenceHelper +from core.model_runtime.model_providers.xinference.xinference_helper import XinferenceHelper, validate_model_uid class XinferenceTextEmbeddingModel(TextEmbeddingModel): @@ -110,7 +110,7 @@ def validate_credentials(self, model: str, credentials: dict) -> None: :return: """ try: - if "/" in credentials["model_uid"] or "?" in credentials["model_uid"] or "#" in credentials["model_uid"]: + if not validate_model_uid(credentials): raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #") server_url = credentials["server_url"] diff --git a/api/core/model_runtime/model_providers/xinference/tts/tts.py b/api/core/model_runtime/model_providers/xinference/tts/tts.py index 81dbe397d2f10c..6290e8551d8020 100644 --- a/api/core/model_runtime/model_providers/xinference/tts/tts.py +++ b/api/core/model_runtime/model_providers/xinference/tts/tts.py @@ -15,7 +15,7 @@ ) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.tts_model import TTSModel -from core.model_runtime.model_providers.xinference.xinference_helper import XinferenceHelper +from core.model_runtime.model_providers.xinference.xinference_helper import XinferenceHelper, validate_model_uid class XinferenceText2SpeechModel(TTSModel): @@ -70,7 +70,7 @@ def validate_credentials(self, model: str, credentials: dict) -> None: :return: """ try: - if "/" in credentials["model_uid"] or "?" in credentials["model_uid"] or "#" in credentials["model_uid"]: + if not validate_model_uid(credentials): raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #") credentials["server_url"] = credentials["server_url"].removesuffix("/") diff --git a/api/core/model_runtime/model_providers/xinference/xinference_helper.py b/api/core/model_runtime/model_providers/xinference/xinference_helper.py index 619ee1492a9272..baa3ccbe8adbc0 100644 --- a/api/core/model_runtime/model_providers/xinference/xinference_helper.py +++ b/api/core/model_runtime/model_providers/xinference/xinference_helper.py @@ -132,3 +132,16 @@ def _get_xinference_extra_parameter(server_url: str, model_uid: str, api_key: st context_length=context_length, model_family=model_family, ) + + +def validate_model_uid(credentials: dict) -> bool: + """ + Validate the model_uid within the credentials dictionary to ensure it does not + contain forbidden characters ("/", "?", "#"). + + param credentials: model credentials + :return: True if the model_uid does not contain forbidden characters ("/", "?", "#"), else False. + """ + forbidden_characters = ["/", "?", "#"] + model_uid = credentials.get("model_uid", "") + return not any(char in forbidden_characters for char in model_uid)

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